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Author SHA1 Message Date
srikanthccv
f05c574606 chore: add initial version of query range design principles doc 2026-02-25 11:23:20 +05:30
90 changed files with 516 additions and 8486 deletions

View File

@@ -190,7 +190,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:v0.113.0
image: signoz/signoz:v0.112.1
ports:
- "8080:8080" # signoz port
# - "6060:6060" # pprof port
@@ -213,7 +213,7 @@ services:
retries: 3
otel-collector:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:v0.144.1
image: signoz/signoz-otel-collector:v0.142.1
entrypoint:
- /bin/sh
command:
@@ -241,7 +241,7 @@ services:
replicas: 3
signoz-telemetrystore-migrator:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:v0.144.1
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
environment:
- SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
- SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

View File

@@ -117,7 +117,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:v0.113.0
image: signoz/signoz:v0.112.1
ports:
- "8080:8080" # signoz port
volumes:
@@ -139,7 +139,7 @@ services:
retries: 3
otel-collector:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:v0.144.1
image: signoz/signoz-otel-collector:v0.142.1
entrypoint:
- /bin/sh
command:
@@ -167,7 +167,7 @@ services:
replicas: 3
signoz-telemetrystore-migrator:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:v0.144.1
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
environment:
- SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
- SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

View File

@@ -181,7 +181,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:${VERSION:-v0.113.0}
image: signoz/signoz:${VERSION:-v0.112.1}
container_name: signoz
ports:
- "8080:8080" # signoz port
@@ -204,7 +204,7 @@ services:
retries: 3
otel-collector:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.1}
container_name: signoz-otel-collector
entrypoint:
- /bin/sh
@@ -229,7 +229,7 @@ services:
- "4318:4318" # OTLP HTTP receiver
signoz-telemetrystore-migrator:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
container_name: signoz-telemetrystore-migrator
environment:
- SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

View File

@@ -109,7 +109,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:${VERSION:-v0.113.0}
image: signoz/signoz:${VERSION:-v0.112.1}
container_name: signoz
ports:
- "8080:8080" # signoz port
@@ -132,7 +132,7 @@ services:
retries: 3
otel-collector:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.1}
container_name: signoz-otel-collector
entrypoint:
- /bin/sh
@@ -157,7 +157,7 @@ services:
- "4318:4318" # OTLP HTTP receiver
signoz-telemetrystore-migrator:
!!merge <<: *db-depend
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
container_name: signoz-telemetrystore-migrator
environment:
- SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

View File

@@ -842,17 +842,6 @@ components:
- temporality
- isMonotonic
type: object
MetrictypesComparisonSpaceAggregationParam:
properties:
operator:
type: string
threshold:
format: double
type: number
required:
- operator
- threshold
type: object
MetrictypesSpaceAggregation:
enum:
- sum
@@ -1149,8 +1138,6 @@ components:
type: object
Querybuildertypesv5MetricAggregation:
properties:
comparisonSpaceAggregationParam:
$ref: '#/components/schemas/MetrictypesComparisonSpaceAggregationParam'
metricName:
type: string
reduceTo:

View File

@@ -0,0 +1,216 @@
# Query Range v5 — Design Principles & Architectural Contracts
## Purpose of This Document
This document defines the design principles, invariants, and architectural contracts of the Query Range v5 system. It is intended for the authors working on the querier and querier related parts codebase. Any change to the system must align with the principles described here. If a change would violate a principle, it must be flagged and discussed.
---
## Core Architectural Principle
**The user speaks OpenTelemetry. The storage speaks ClickHouse. The system translates between them. These two worlds must never leak into each other.**
Every design choice in Query Range flows from this separation. The user-facing API surface deals exclusively in `TelemetryFieldKey`: a representation of fields as they exist in the OpenTelemetry data model. The storage layer deals in ClickHouse column expressions, table names, and SQL fragments. The translation between them is mediated by a small set of composable abstractions with strict boundaries.
---
## The Central Type: `TelemetryFieldKey`
`TelemetryFieldKey` is the atomic unit of the entire query system. Every filter, aggregation, group-by, order-by, and select operation is expressed in terms of field keys. Understanding its design contracts is non-negotiable.
### Identity
A field key is identified by three dimensions:
- **Name** — the field name as the user knows it (`service.name`, `http.method`, `trace_id`)
- **FieldContext** — where the field lives in the OTel model (`resource`, `attribute`, `span`, `log`, `body`, `scope`, `event`, `metric`)
- **FieldDataType** — the data type (`string`, `bool`, `number`/`float64`/`int64`, array variants)
### Invariant: Same name does not mean same field
`status` as an attribute, `status` as a body JSON key, and `status` as a span-level field are **three different fields**. The context disambiguates. Code that resolves or compares field keys must always consider all three dimensions, never just the name.
### Invariant: Normalization happens once, at the boundary
`TelemetryFieldKey.Normalize()` is called during JSON unmarshaling. After normalization, the text representation `resource.service.name:string` and the programmatic construction `{Name: "service.name", FieldContext: Resource, FieldDataType: String}` are identical.
**Consequence:** Downstream code must never re-parse or re-normalize field keys. If you find yourself splitting on `.` or `:` deep in the pipeline, something is wrong — the normalization should have already happened.
### Invariant: The text format is `context.name:datatype`
Parsing rules (implemented in `GetFieldKeyFromKeyText` and `Normalize`):
1. Data type is extracted from the right, after the last `:`.
2. Field context is extracted from the left, before the first `.`, if it matches a known context prefix.
3. Everything remaining is the name.
Special case: `log.body.X` normalizes to `{FieldContext: body, Name: X}` — the `log.body.` prefix collapses because body fields under log are a nested context.
### Invariant: Historical aliases must be preserved
The `fieldContexts` map includes aliases (`tag` -> `attribute`, `spanfield` -> `span`, `logfield` -> `log`). These exist because older database entries use these names. Removing or changing these aliases will break existing saved queries and dashboard configurations.
---
## The Abstraction Stack
The query pipeline is built from four interfaces that compose vertically. Each layer has a single responsibility. Each layer depends only on the layers below it. This layering is intentional and must be preserved.
```
StatementBuilder <- Orchestrates everything into executable SQL
├── AggExprRewriter <- Rewrites aggregation expressions (maps field refs to columns)
├── ConditionBuilder <- Builds WHERE predicates (field + operator + value -> SQL)
└── FieldMapper <- Maps TelemetryFieldKey -> ClickHouse column expression
```
### FieldMapper
**Contract:** Given a `TelemetryFieldKey`, return a ClickHouse column expression that yields the value for that field when used in a SELECT.
**Principle:** This is the *only* place where field-to-column translation happens. No other layer should contain knowledge of how fields map to storage. If you need a column expression, go through the FieldMapper.
**Why:** The user says `http.request.method`. ClickHouse might store it as `attributes_string['http.request.method']`, or as a materialized column `` `attribute_string_http$$request$$method` ``, or via a JSON access path in a body column. This variation is entirely contained within the FieldMapper. Everything above it is storage-agnostic.
### ConditionBuilder
**Contract:** Given a field key, an operator, and a value, produce a valid SQL predicate for a WHERE clause.
**Dependency:** Uses FieldMapper for the left-hand side of the condition.
**Principle:** The ConditionBuilder owns all the complexity of operator semantics, i.e type casting, array operators (`hasAny`/`hasAll` vs `=`), existence checks, and negative operator behavior. This complexity must not leak upward into the StatementBuilder.
### AggExprRewriter
**Contract:** Given a user-facing aggregation expression like `sum(duration_nano)`, resolve field references within it and produce valid ClickHouse SQL.
**Dependency:** Uses FieldMapper to resolve field names within expressions.
**Principle:** Aggregation expressions are user-authored strings that contain field references. The rewriter parses them, identifies field references, resolves each through the FieldMapper, and reassembles the expression.
### StatementBuilder
**Contract:** Given a complete `QueryBuilderQuery`, a time range, and a request type, produces an executable SQL statement.
**Dependency:** Uses all three abstractions above.
**Principle:** This is the composition layer. It does not contain field mapping logic, condition building logic, or expression rewriting logic. It orchestrates the other abstractions. If you find storage-specific logic creeping into the StatementBuilder, push it down into the appropriate abstraction.
### Invariant: No layer skipping
The StatementBuilder must not call FieldMapper directly to build conditions, it goes through the ConditionBuilder. The AggExprRewriter must not hardcode column names, it goes through the FieldMapper. Skipping layers creates hidden coupling and makes the system fragile to storage changes.
---
## Design Decisions as Constraints
### Constraint: Formula evaluation happens in Go, not in ClickHouse
Formulas (`A + B`, `A / B`, `sqrt(A*A + B*B)`) are evaluated application-side by `FormulaEvaluator`, not via ClickHouse JOINs.
**Why this is a constraint, not just an implementation choice:** The original JOIN-based approach was abandoned because ClickHouse evaluates joins right-to-left, serializing execution unnecessarily. Running queries independently allows parallelism and caching of intermediate results. Any future optimization must not reintroduce the JOIN pattern without solving the serialization problem.
**Consequence:** Individual query results must be independently cacheable. Formula evaluation must handle label matching, timestamp alignment, and missing values without requiring the queries to coordinate at the SQL level.
### Constraint: Zero-defaulting is aggregation-dependent
Only additive/counting aggregations (`count`, `count_distinct`, `sum`, `rate`) default missing values to zero. Statistical aggregations (`avg`, `min`, `max`, percentiles) must show gaps.
**Why:** Absence of data has different meanings. No error requests in a time bucket means error count = 0. No requests at all means average latency is *unknown*, not 0. Conflating these is a correctness bug, not a display preference.
**Enforcement:** `GetQueriesSupportingZeroDefault` determines which queries can default to zero. The `FormulaEvaluator` consumes this via `canDefaultZero`. Changes to aggregation handling must preserve this distinction.
### Constraint: Existence semantics differ for positive vs negative operators
- **Positive operators** (`=`, `>`, `LIKE`, `IN`, etc.) implicitly assert field existence. `http.method = GET` means "the field exists AND equals GET".
- **Negative operators** (`!=`, `NOT IN`, `NOT LIKE`, etc.) do **not** add an existence check. `http.method != GET` includes records where the field doesn't exist at all.
**Why:** The user's intent with negative operators is ambiguous. Rather than guess, we take the broader interpretation. Users can add an explicit `EXISTS` filter if they want the narrower one. This is documented in `AddDefaultExistsFilter`.
**Consequence:** Any new operator must declare its existence behavior in `AddDefaultExistsFilter`. Do not add operators without considering this.
### Constraint: Post-processing functions operate on result sets, not in SQL
Functions like `cutOffMin`, `ewma`, `median`, `timeShift`, `fillZero`, `runningDiff`, and `cumulativeSum` are applied in Go on the returned time series, not pushed into ClickHouse SQL.
**Why:** These are sequential time-series transformations that require complete, ordered result sets. Pushing them into SQL would complicate query generation, prevent caching of raw results, and make the functions harder to test. They are applied via `ApplyFunctions` after query execution.
**Consequence:** New time-series transformation functions should follow this pattern i.e implement them as Go functions on `*TimeSeries`, not as SQL modifications.
### Constraint: The API surface rejects unknown fields with suggestions
All request types use custom `UnmarshalJSON` that calls `DisallowUnknownFields`. Unknown fields trigger error messages with Levenshtein-based suggestions ("did you mean: 'groupBy'?").
**Why:** Silent acceptance of unknown fields causes subtle bugs. A misspelled `groupBy` results in ungrouped data with no indication of what went wrong. Failing fast with suggestions turns errors into actionable feedback.
**Consequence:** Any new request type or query spec struct must implement custom unmarshaling with `UnmarshalJSONWithContext`. Do not use default `json.Unmarshal` for user-facing types.
### Constraint: Validation is context-sensitive to request type
What's valid depends on the `RequestType`. For aggregation requests (`time_series`, `scalar`, `distribution`), fields like `groupBy`, `aggregations`, `having`, and aggregation-referenced `orderBy` are validated. For non-aggregation requests (`raw`, `raw_stream`, `trace`), these fields are ignored.
**Why:** A raw log query doesn't have aggregations, so requiring `aggregations` would be wrong. But a time-series query without aggregations is meaningless. The validation rules are request-type-aware to avoid both false positives and false negatives.
**Consequence:** When adding new fields to query specs, consider which request types they apply to and gate validation accordingly.
---
## The Composite Query Model
### Structure
A `QueryRangeRequest` contains a `CompositeQuery` which holds `[]QueryEnvelope`. Each envelope is a discriminated union: a `Type` field determines how `Spec` is decoded.
### Invariant: Query names are unique within a composite query
Builder queries must have unique names. Formulas reference queries by name (`A`, `B`, `A.0`, `A.my_alias`). Duplicate names would make formula evaluation ambiguous.
### Invariant: Multi-aggregation uses indexed or aliased references
A single builder query can have multiple aggregations. They are accessed in formulas via:
- Index: `A.0`, `A.1` (zero-based)
- Alias: `A.total`, `A.error_count`
The default (just `A`) resolves to index 0. This is the formula evaluation contract and must be preserved.
### Invariant: Type-specific decoding through signal detection
Builder queries are decoded by first peeking at the `signal` field in the raw JSON, then unmarshaling into the appropriate generic type (`QueryBuilderQuery[TraceAggregation]`, `QueryBuilderQuery[LogAggregation]`, `QueryBuilderQuery[MetricAggregation]`). This two-pass decoding is intentional — it allows each signal to have its own aggregation schema while sharing the query structure.
---
## The Metadata Layer
### MetadataStore
The `MetadataStore` interface provides runtime field discovery and type resolution. It answers questions like "what fields exist for this signal?" and "what are the data types of field X?".
### Principle: Fields can be ambiguous until resolved
The same name can map to multiple `TelemetryFieldKey` variants (different contexts, different types). The metadata store returns *all* variants. Resolution to a single field happens during query building, using the query's signal and any explicit context/type hints from the user.
**Consequence:** Code that calls `GetKey` or `GetKeys` must handle multiple results. Do not assume a name maps to a single field.
### Principle: Materialized fields are a performance optimization, not a semantic distinction
A materialized field and its non-materialized equivalent represent the same logical field. The `Materialized` flag tells the FieldMapper to generate a simpler column expression. The user should never need to know whether a field is materialized.
### Principle: JSON body fields require access plans
Fields inside JSON body columns (`body.response.errors[].code`) need pre-computed `JSONAccessPlan` trees that encode the traversal path, including branching at array boundaries between `Array(JSON)` and `Array(Dynamic)` representations. These plans are computed during metadata resolution, not during query execution.
---
## Summary of Inviolable Rules
1. **User-facing types never contain ClickHouse column names or SQL fragments.**
2. **Field-to-column translation only happens in FieldMapper.**
3. **Normalization happens once at the API boundary, never deeper.**
4. **Historical aliases in fieldContexts and fieldDataTypes must not be removed.**
5. **Formula evaluation stays in Go — do not push it into ClickHouse JOINs.**
6. **Zero-defaulting is aggregation-type-dependent — do not universally default to zero.**
7. **Positive operators imply existence, negative operators do not.**
8. **Post-processing functions operate on Go result sets, not in SQL.**
9. **All user-facing types reject unknown JSON fields with suggestions.**
10. **Validation rules are gated by request type.**
11. **Query names must be unique within a composite query.**
12. **The four-layer abstraction stack (FieldMapper -> ConditionBuilder -> AggExprRewriter -> StatementBuilder) must not be bypassed or flattened.**

View File

@@ -1006,18 +1006,6 @@ export interface MetricsexplorertypesUpdateMetricMetadataRequestDTO {
unit: string;
}
export interface MetrictypesComparisonSpaceAggregationParamDTO {
/**
* @type string
*/
operator: string;
/**
* @type number
* @format double
*/
threshold: number;
}
export enum MetrictypesSpaceAggregationDTO {
sum = 'sum',
avg = 'avg',
@@ -1379,7 +1367,6 @@ export interface Querybuildertypesv5LogAggregationDTO {
}
export interface Querybuildertypesv5MetricAggregationDTO {
comparisonSpaceAggregationParam?: MetrictypesComparisonSpaceAggregationParamDTO;
/**
* @type string
*/

View File

@@ -86,13 +86,8 @@ function LogDetailInner({
const handleClickOutside = (e: MouseEvent): void => {
const target = e.target as HTMLElement;
// Don't close if clicking on drawer content, overlays, or portal elements
if (
target.closest('[data-log-detail-ignore="true"]') ||
target.closest('.cm-tooltip-autocomplete') ||
target.closest('.drawer-popover') ||
target.closest('.query-status-popover')
) {
// Don't close if clicking on explicitly ignored regions
if (target.closest('[data-log-detail-ignore="true"]')) {
return;
}
@@ -405,11 +400,7 @@ function LogDetailInner({
<div className="log-detail-drawer__content" data-log-detail-ignore="true">
<div className="log-detail-drawer__log">
<Divider type="vertical" className={cx('log-type-indicator', logType)} />
<Tooltip
title={removeEscapeCharacters(log?.body)}
placement="left"
mouseLeaveDelay={0}
>
<Tooltip title={removeEscapeCharacters(log?.body)} placement="left">
<div className="log-body" dangerouslySetInnerHTML={htmlBody} />
</Tooltip>
@@ -475,7 +466,6 @@ function LogDetailInner({
title="Show Filters"
placement="topLeft"
aria-label="Show Filters"
mouseLeaveDelay={0}
>
<Button
className="action-btn"
@@ -491,7 +481,6 @@ function LogDetailInner({
aria-label={
selectedView === VIEW_TYPES.JSON ? 'Copy JSON' : 'Copy Log Link'
}
mouseLeaveDelay={0}
>
<Button
className="action-btn"

View File

@@ -27,11 +27,7 @@ function AddToQueryHOC({
return (
// eslint-disable-next-line jsx-a11y/click-events-have-key-events, jsx-a11y/no-static-element-interactions
<div className={cx('addToQueryContainer', fontSize)} onClick={handleQueryAdd}>
<Popover
overlayClassName="drawer-popover"
placement="top"
content={popOverContent}
>
<Popover placement="top" content={popOverContent}>
{children}
</Popover>
</div>

View File

@@ -32,7 +32,6 @@ function CopyClipboardHOC({
<span onClick={onClick} role="presentation" tabIndex={-1}>
<Popover
placement="top"
overlayClassName="drawer-popover"
content={<span style={{ fontSize: '0.9rem' }}>{tooltipText}</span>}
>
{children}

View File

@@ -21,7 +21,7 @@ export function getDefaultCellStyle(isDarkMode?: boolean): CSSProperties {
export const defaultTableStyle: CSSProperties = {
minWidth: '40rem',
maxWidth: '90rem',
maxWidth: '60rem',
};
export const defaultListViewPanelStyle: CSSProperties = {

View File

@@ -1328,10 +1328,7 @@ function QuerySearch({
)}
<div className="query-where-clause-editor-container">
<Tooltip
title={<div data-log-detail-ignore="true">{getTooltipContent()}</div>}
placement="left"
>
<Tooltip title={getTooltipContent()} placement="left">
<a
href="https://signoz.io/docs/userguide/search-syntax/"
target="_blank"

View File

@@ -117,7 +117,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
const [showSlowApiWarning, setShowSlowApiWarning] = useState(false);
const [slowApiWarningShown, setSlowApiWarningShown] = useState(false);
const { currentVersion } = useSelector<AppState, AppReducer>(
const { latestVersion } = useSelector<AppState, AppReducer>(
(state) => state.app,
);
@@ -213,9 +213,9 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
},
{
queryFn: (): Promise<SuccessResponse<ChangelogSchema> | ErrorResponse> =>
getChangelogByVersion(currentVersion, changelogForTenant),
queryKey: ['getChangelogByVersion', currentVersion, changelogForTenant],
enabled: isLoggedIn && Boolean(currentVersion),
getChangelogByVersion(latestVersion, changelogForTenant),
queryKey: ['getChangelogByVersion', latestVersion, changelogForTenant],
enabled: isLoggedIn && Boolean(latestVersion),
},
]);
@@ -226,7 +226,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
!changelog &&
!getChangelogByVersionResponse.isLoading &&
isLoggedIn &&
Boolean(currentVersion)
Boolean(latestVersion)
) {
getChangelogByVersionResponse.refetch();
}
@@ -237,9 +237,9 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
let timer: ReturnType<typeof setTimeout>;
if (
isCloudUserVal &&
Boolean(currentVersion) &&
Boolean(latestVersion) &&
seenChangelogVersion != null &&
currentVersion !== seenChangelogVersion &&
latestVersion !== seenChangelogVersion &&
daysSinceAccountCreation > MIN_ACCOUNT_AGE_FOR_CHANGELOG && // Show to only users older than 2 weeks
!isWorkspaceAccessRestricted
) {
@@ -255,7 +255,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [
isCloudUserVal,
currentVersion,
latestVersion,
seenChangelogVersion,
toggleChangelogModal,
isWorkspaceAccessRestricted,

View File

@@ -9,7 +9,6 @@ import {
import useVariablesFromUrl from 'hooks/dashboard/useVariablesFromUrl';
import { useDashboard } from 'providers/Dashboard/Dashboard';
import { initializeDefaultVariables } from 'providers/Dashboard/initializeDefaultVariables';
import { updateDashboardVariablesStore } from 'providers/Dashboard/store/dashboardVariables/dashboardVariablesStore';
import {
enqueueDescendantsOfVariable,
enqueueFetchOfAllVariables,
@@ -32,9 +31,6 @@ function DashboardVariableSelection(): JSX.Element | null {
const { updateUrlVariable, getUrlVariables } = useVariablesFromUrl();
const { dashboardVariables } = useDashboardVariables();
const dashboardId = useDashboardVariablesSelector(
(state) => state.dashboardId,
);
const sortedVariablesArray = useDashboardVariablesSelector(
(state) => state.sortedVariablesArray,
);
@@ -100,28 +96,6 @@ function DashboardVariableSelection(): JSX.Element | null {
updateUrlVariable(name || id, value);
}
// Synchronously update the external store with the new variable value so that
// child variables see the updated parent value when they refetch, rather than
// waiting for setSelectedDashboard → useEffect → updateDashboardVariablesStore.
const updatedVariables = { ...dashboardVariables };
if (updatedVariables[id]) {
updatedVariables[id] = {
...updatedVariables[id],
selectedValue: value,
allSelected,
haveCustomValuesSelected,
};
}
if (updatedVariables[name]) {
updatedVariables[name] = {
...updatedVariables[name],
selectedValue: value,
allSelected,
haveCustomValuesSelected,
};
}
updateDashboardVariablesStore({ dashboardId, variables: updatedVariables });
setSelectedDashboard((prev) => {
if (prev) {
const oldVariables = { ...prev?.data.variables };
@@ -156,12 +130,10 @@ function DashboardVariableSelection(): JSX.Element | null {
return prev;
});
// Cascade: enqueue query-type descendants for refetching.
// Safe to call synchronously now that the store already has the updated value.
// Cascade: enqueue query-type descendants for refetching
enqueueDescendantsOfVariable(name);
},
[
dashboardId,
dashboardVariables,
updateLocalStorageDashboardVariables,
updateUrlVariable,

View File

@@ -5,7 +5,7 @@ import dashboardVariablesQuery from 'api/dashboard/variables/dashboardVariablesQ
import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
import { useVariableFetchState } from 'hooks/dashboard/useVariableFetchState';
import sortValues from 'lib/dashboardVariables/sortVariableValues';
import { isArray, isEmpty } from 'lodash-es';
import { isArray, isEmpty, isString } from 'lodash-es';
import { AppState } from 'store/reducers';
import { VariableResponseProps } from 'types/api/dashboard/variables/query';
import { GlobalReducer } from 'types/reducer/globalTime';
@@ -54,7 +54,7 @@ function QueryVariableInput({
onChange,
onDropdownVisibleChange,
handleClear,
getDefaultValue,
applyDefaultIfNeeded,
} = useDashboardVariableSelectHelper({
variableData,
optionsData,
@@ -68,93 +68,81 @@ function QueryVariableInput({
try {
setErrorMessage(null);
// This is just a check given the previously undefined typed name prop. Not significant
// This will be changed when we change the schema
// TODO: @AshwinBhatkal Perses
if (!variableData.name) {
return;
}
// if the response is not an array, premature return
if (
!variablesRes?.variableValues ||
!Array.isArray(variablesRes?.variableValues)
variablesRes?.variableValues &&
Array.isArray(variablesRes?.variableValues)
) {
return;
}
const sortedNewOptions = sortValues(
variablesRes.variableValues,
variableData.sort,
);
const sortedOldOptions = sortValues(optionsData, variableData.sort);
// if options are the same as before, no need to update state or check for selected value validity
// ! selectedValue needs to be set in the first pass though, as options are initially empty array and we need to apply default if needed
// Expecatation is that when oldOptions are not empty, then there is always some selectedValue
if (areArraysEqual(sortedNewOptions, sortedOldOptions)) {
return;
}
setOptionsData(sortedNewOptions);
let isSelectedValueMissingInNewOptions = false;
// Check if currently selected value(s) are present in the new options list
if (isArray(variableData.selectedValue)) {
isSelectedValueMissingInNewOptions = variableData.selectedValue.some(
(val) => !sortedNewOptions.includes(val),
const newOptionsData = sortValues(
variablesRes?.variableValues,
variableData.sort,
);
} else if (
variableData.selectedValue &&
!sortedNewOptions.includes(variableData.selectedValue)
) {
isSelectedValueMissingInNewOptions = true;
}
// If multi-select with ALL option enabled, and ALL is currently selected, we want to maintain that state and select all new options
// This block does not depend on selected value because of ALL and also because we would only come here if options are different from the previous
if (
variableData.multiSelect &&
variableData.showALLOption &&
variableData.allSelected &&
isSelectedValueMissingInNewOptions
) {
onValueUpdate(variableData.name, variableData.id, sortedNewOptions, true);
const oldOptionsData = sortValues(optionsData, variableData.sort) as never;
// Update tempSelection to maintain ALL state when dropdown is open
if (tempSelection !== undefined) {
setTempSelection(sortedNewOptions.map((option) => option.toString()));
}
return;
}
if (!areArraysEqual(newOptionsData, oldOptionsData)) {
let valueNotInList = false;
const value = variableData.selectedValue;
let allSelected = false;
if (isArray(variableData.selectedValue)) {
variableData.selectedValue.forEach((val) => {
if (!newOptionsData.includes(val)) {
valueNotInList = true;
}
});
} else if (
isString(variableData.selectedValue) &&
!newOptionsData.includes(variableData.selectedValue)
) {
valueNotInList = true;
}
if (variableData.multiSelect) {
const { selectedValue } = variableData;
allSelected =
sortedNewOptions.length > 0 &&
Array.isArray(selectedValue) &&
sortedNewOptions.every((option) => selectedValue.includes(option));
}
if (variableData.name && (valueNotInList || variableData.allSelected)) {
if (
variableData.allSelected &&
variableData.multiSelect &&
variableData.showALLOption
) {
if (
variableData.name &&
variableData.id &&
!isEmpty(variableData.selectedValue)
) {
onValueUpdate(
variableData.name,
variableData.id,
newOptionsData,
true,
);
}
if (
variableData.name &&
variableData.id &&
!isEmpty(variableData.selectedValue)
) {
onValueUpdate(variableData.name, variableData.id, value, allSelected);
} else {
const defaultValue = getDefaultValue(sortedNewOptions);
if (defaultValue !== undefined) {
onValueUpdate(
variableData.name,
variableData.id,
defaultValue,
allSelected,
);
// Update tempSelection to maintain ALL state when dropdown is open
if (tempSelection !== undefined) {
setTempSelection(newOptionsData.map((option) => option.toString()));
}
} else {
const value = variableData.selectedValue;
let allSelected = false;
if (variableData.multiSelect) {
const { selectedValue } = variableData;
allSelected =
newOptionsData.length > 0 &&
Array.isArray(selectedValue) &&
newOptionsData.every((option) => selectedValue.includes(option));
}
if (
variableData.name &&
variableData.id &&
!isEmpty(variableData.selectedValue)
) {
onValueUpdate(variableData.name, variableData.id, value, allSelected);
}
}
}
setOptionsData(newOptionsData);
// Apply default if no value is selected (e.g., new variable, first load)
applyDefaultIfNeeded(newOptionsData);
}
}
} catch (e) {
@@ -167,7 +155,7 @@ function QueryVariableInput({
onValueUpdate,
tempSelection,
setTempSelection,
getDefaultValue,
applyDefaultIfNeeded,
],
);

View File

@@ -1,6 +1,5 @@
/* eslint-disable sonarjs/no-duplicate-string */
import { act, render } from '@testing-library/react';
import * as dashboardVariablesStoreModule from 'providers/Dashboard/store/dashboardVariables/dashboardVariablesStore';
import {
dashboardVariablesStore,
setDashboardVariablesStore,
@@ -11,7 +10,6 @@ import {
IDashboardVariablesStoreState,
} from 'providers/Dashboard/store/dashboardVariables/dashboardVariablesStoreTypes';
import {
enqueueDescendantsOfVariable,
enqueueFetchOfAllVariables,
initializeVariableFetchStore,
} from 'providers/Dashboard/store/variableFetchStore';
@@ -19,17 +17,6 @@ import { IDashboardVariable } from 'types/api/dashboard/getAll';
import DashboardVariableSelection from '../DashboardVariableSelection';
// Mutable container to capture the onValueUpdate callback from VariableItem
const mockVariableItemCallbacks: {
onValueUpdate?: (
name: string,
id: string,
value: IDashboardVariable['selectedValue'],
allSelected: boolean,
haveCustomValuesSelected?: boolean,
) => void;
} = {};
// Mock providers/Dashboard/Dashboard
const mockSetSelectedDashboard = jest.fn();
const mockUpdateLocalStorageDashboardVariables = jest.fn();
@@ -69,14 +56,10 @@ jest.mock('react-redux', () => ({
useSelector: jest.fn().mockReturnValue({ minTime: 1000, maxTime: 2000 }),
}));
// VariableItem mock captures the onValueUpdate prop for use in onValueUpdate tests
// Mock VariableItem to avoid rendering complexity
jest.mock('../VariableItem', () => ({
__esModule: true,
// eslint-disable-next-line @typescript-eslint/no-explicit-any
default: (props: any): JSX.Element => {
mockVariableItemCallbacks.onValueUpdate = props.onValueUpdate;
return <div data-testid="variable-item" />;
},
default: (): JSX.Element => <div data-testid="variable-item" />,
}));
function createVariable(
@@ -217,162 +200,4 @@ describe('DashboardVariableSelection', () => {
expect(initializeVariableFetchStore).not.toHaveBeenCalled();
expect(enqueueFetchOfAllVariables).not.toHaveBeenCalled();
});
describe('onValueUpdate', () => {
let updateStoreSpy: jest.SpyInstance;
beforeEach(() => {
resetStore();
jest.clearAllMocks();
// Real implementation pass-through — we just want to observe calls
updateStoreSpy = jest.spyOn(
dashboardVariablesStoreModule,
'updateDashboardVariablesStore',
);
});
afterEach(() => {
updateStoreSpy.mockRestore();
});
it('updates dashboardVariablesStore synchronously before enqueueDescendantsOfVariable', () => {
setDashboardVariablesStore({
dashboardId: 'dash-1',
variables: {
env: createVariable({ name: 'env', id: 'env-id', order: 0 }),
},
});
render(<DashboardVariableSelection />);
const callOrder: string[] = [];
updateStoreSpy.mockImplementation(() => {
callOrder.push('updateDashboardVariablesStore');
});
(enqueueDescendantsOfVariable as jest.Mock).mockImplementation(() => {
callOrder.push('enqueueDescendantsOfVariable');
});
act(() => {
mockVariableItemCallbacks.onValueUpdate?.(
'env',
'env-id',
'production',
false,
);
});
expect(callOrder).toEqual([
'updateDashboardVariablesStore',
'enqueueDescendantsOfVariable',
]);
});
it('passes updated variable value to dashboardVariablesStore', () => {
setDashboardVariablesStore({
dashboardId: 'dash-1',
variables: {
env: createVariable({
name: 'env',
id: 'env-id',
order: 0,
selectedValue: 'staging',
}),
},
});
render(<DashboardVariableSelection />);
// Clear spy calls that happened during setup/render
updateStoreSpy.mockClear();
act(() => {
mockVariableItemCallbacks.onValueUpdate?.(
'env',
'env-id',
'production',
false,
);
});
expect(updateStoreSpy).toHaveBeenCalledWith(
expect.objectContaining({
dashboardId: 'dash-1',
variables: expect.objectContaining({
env: expect.objectContaining({
selectedValue: 'production',
allSelected: false,
}),
}),
}),
);
});
it('calls enqueueDescendantsOfVariable synchronously without a timer', () => {
jest.useFakeTimers();
setDashboardVariablesStore({
dashboardId: 'dash-1',
variables: {
env: createVariable({ name: 'env', id: 'env-id', order: 0 }),
},
});
render(<DashboardVariableSelection />);
act(() => {
mockVariableItemCallbacks.onValueUpdate?.(
'env',
'env-id',
'production',
false,
);
});
// Must be called immediately — no timer advancement needed
expect(enqueueDescendantsOfVariable).toHaveBeenCalledWith('env');
jest.useRealTimers();
});
it('propagates allSelected and haveCustomValuesSelected to the store', () => {
setDashboardVariablesStore({
dashboardId: 'dash-1',
variables: {
env: createVariable({
name: 'env',
id: 'env-id',
order: 0,
multiSelect: true,
showALLOption: true,
}),
},
});
render(<DashboardVariableSelection />);
updateStoreSpy.mockClear();
act(() => {
mockVariableItemCallbacks.onValueUpdate?.(
'env',
'env-id',
['production', 'staging'],
true,
false,
);
});
expect(updateStoreSpy).toHaveBeenCalledWith(
expect.objectContaining({
variables: expect.objectContaining({
env: expect.objectContaining({
selectedValue: ['production', 'staging'],
allSelected: true,
haveCustomValuesSelected: false,
}),
}),
}),
);
});
});
});

View File

@@ -1,275 +0,0 @@
/* eslint-disable sonarjs/no-duplicate-string */
import { QueryClient, QueryClientProvider } from 'react-query';
import { act, render, waitFor } from '@testing-library/react';
import dashboardVariablesQuery from 'api/dashboard/variables/dashboardVariablesQuery';
import { variableFetchStore } from 'providers/Dashboard/store/variableFetchStore';
import { IDashboardVariable } from 'types/api/dashboard/getAll';
import QueryVariableInput from '../QueryVariableInput';
jest.mock('api/dashboard/variables/dashboardVariablesQuery');
jest.mock('react-redux', () => ({
...jest.requireActual('react-redux'),
useSelector: jest.fn().mockReturnValue({ minTime: 1000, maxTime: 2000 }),
}));
function createTestQueryClient(): QueryClient {
return new QueryClient({
defaultOptions: {
queries: { retry: false, refetchOnWindowFocus: false },
},
});
}
function Wrapper({
children,
queryClient,
}: {
children: React.ReactNode;
queryClient: QueryClient;
}): JSX.Element {
return (
<QueryClientProvider client={queryClient}>{children}</QueryClientProvider>
);
}
function createVariable(
overrides: Partial<IDashboardVariable> = {},
): IDashboardVariable {
return {
id: 'env-id',
name: 'env',
description: '',
type: 'QUERY',
sort: 'DISABLED',
showALLOption: false,
multiSelect: false,
order: 0,
queryValue: 'SELECT env FROM table',
...overrides,
};
}
/** Put the named variable into 'loading' state so useQuery fires on mount */
function setVariableLoading(name: string): void {
variableFetchStore.update((draft) => {
draft.states[name] = 'loading';
draft.cycleIds[name] = (draft.cycleIds[name] || 0) + 1;
});
}
function resetFetchStore(): void {
variableFetchStore.set(() => ({
states: {},
lastUpdated: {},
cycleIds: {},
}));
}
describe('QueryVariableInput - getOptions logic', () => {
const mockOnValueUpdate = jest.fn();
beforeEach(() => {
jest.clearAllMocks();
resetFetchStore();
});
afterEach(() => {
resetFetchStore();
});
it('applies default value (first option) when selectedValue is empty on first load', async () => {
(dashboardVariablesQuery as jest.Mock).mockResolvedValue({
statusCode: 200,
payload: { variableValues: ['production', 'staging', 'dev'] },
});
const variable = createVariable({ selectedValue: undefined });
setVariableLoading('env');
const queryClient = createTestQueryClient();
render(
<Wrapper queryClient={queryClient}>
<QueryVariableInput
variableData={variable}
existingVariables={{ 'env-id': variable }}
onValueUpdate={mockOnValueUpdate}
/>
</Wrapper>,
);
await waitFor(() => {
expect(mockOnValueUpdate).toHaveBeenCalledWith(
'env',
'env-id',
'production', // first option by default
false,
);
});
});
it('keeps existing selectedValue when it is present in new options', async () => {
(dashboardVariablesQuery as jest.Mock).mockResolvedValue({
statusCode: 200,
payload: { variableValues: ['production', 'staging'] },
});
const variable = createVariable({ selectedValue: 'staging' });
setVariableLoading('env');
const queryClient = createTestQueryClient();
render(
<Wrapper queryClient={queryClient}>
<QueryVariableInput
variableData={variable}
existingVariables={{ 'env-id': variable }}
onValueUpdate={mockOnValueUpdate}
/>
</Wrapper>,
);
await waitFor(() => {
expect(mockOnValueUpdate).toHaveBeenCalledWith(
'env',
'env-id',
'staging',
false,
);
});
});
it('selects all new options when allSelected=true and value is missing from new options', async () => {
(dashboardVariablesQuery as jest.Mock).mockResolvedValue({
statusCode: 200,
payload: { variableValues: ['production', 'staging'] },
});
const variable = createVariable({
selectedValue: ['old-env'],
allSelected: true,
multiSelect: true,
showALLOption: true,
});
setVariableLoading('env');
const queryClient = createTestQueryClient();
render(
<Wrapper queryClient={queryClient}>
<QueryVariableInput
variableData={variable}
existingVariables={{ 'env-id': variable }}
onValueUpdate={mockOnValueUpdate}
/>
</Wrapper>,
);
await waitFor(() => {
expect(mockOnValueUpdate).toHaveBeenCalledWith(
'env',
'env-id',
['production', 'staging'],
true,
);
});
});
it('does not call onValueUpdate a second time when options have not changed', async () => {
const mockQueryFn = jest.fn().mockResolvedValue({
statusCode: 200,
payload: { variableValues: ['production', 'staging'] },
});
(dashboardVariablesQuery as jest.Mock).mockImplementation(mockQueryFn);
const variable = createVariable({ selectedValue: 'production' });
setVariableLoading('env');
const queryClient = createTestQueryClient();
render(
<Wrapper queryClient={queryClient}>
<QueryVariableInput
variableData={variable}
existingVariables={{ 'env-id': variable }}
onValueUpdate={mockOnValueUpdate}
/>
</Wrapper>,
);
// Wait for first fetch and onValueUpdate call
await waitFor(() => {
expect(mockOnValueUpdate).toHaveBeenCalledTimes(1);
});
mockOnValueUpdate.mockClear();
// Trigger a second fetch cycle with the same API response
act(() => {
variableFetchStore.update((draft) => {
draft.states['env'] = 'revalidating';
draft.cycleIds['env'] = (draft.cycleIds['env'] || 0) + 1;
});
});
// Wait for second query to fire
await waitFor(() => {
expect(mockQueryFn).toHaveBeenCalledTimes(2);
});
// Options are unchanged, so onValueUpdate must not fire again
expect(mockOnValueUpdate).not.toHaveBeenCalled();
});
it('does not call onValueUpdate when API returns a non-array response', async () => {
(dashboardVariablesQuery as jest.Mock).mockResolvedValue({
statusCode: 200,
payload: { variableValues: null },
});
const variable = createVariable({ selectedValue: 'production' });
setVariableLoading('env');
const queryClient = createTestQueryClient();
render(
<Wrapper queryClient={queryClient}>
<QueryVariableInput
variableData={variable}
existingVariables={{ 'env-id': variable }}
onValueUpdate={mockOnValueUpdate}
/>
</Wrapper>,
);
await waitFor(() => {
expect(dashboardVariablesQuery).toHaveBeenCalled();
});
expect(mockOnValueUpdate).not.toHaveBeenCalled();
});
it('does not fire the query when variableData.name is empty', () => {
(dashboardVariablesQuery as jest.Mock).mockResolvedValue({
statusCode: 200,
payload: { variableValues: ['production'] },
});
// Variable with no name — useVariableFetchState will be called with ''
// and the query key will have an empty name, leaving it disabled
const variable = createVariable({ name: '' });
// Note: we do NOT put it in 'loading' state since name is empty
// (no variableFetchStore entry for '' means isVariableFetching=false)
const queryClient = createTestQueryClient();
render(
<Wrapper queryClient={queryClient}>
<QueryVariableInput
variableData={variable}
existingVariables={{ 'env-id': variable }}
onValueUpdate={mockOnValueUpdate}
/>
</Wrapper>,
);
expect(dashboardVariablesQuery).not.toHaveBeenCalled();
expect(mockOnValueUpdate).not.toHaveBeenCalled();
});
});

View File

@@ -46,9 +46,6 @@ interface UseDashboardVariableSelectHelperReturn {
applyDefaultIfNeeded: (
overrideOptions?: (string | number | boolean)[],
) => void;
getDefaultValue: (
overrideOptions?: (string | number | boolean)[],
) => string | string[] | undefined;
}
// eslint-disable-next-line sonarjs/cognitive-complexity
@@ -251,6 +248,5 @@ export function useDashboardVariableSelectHelper({
defaultValue,
onChange,
applyDefaultIfNeeded,
getDefaultValue,
};
}

View File

@@ -121,23 +121,9 @@ function BodyTitleRenderer({
return (
<TitleWrapper onClick={handleNodeClick}>
{typeof value !== 'object' && (
<span
onClick={(e): void => {
e.stopPropagation();
e.preventDefault();
}}
onMouseDown={(e): void => e.preventDefault()}
>
<Dropdown
menu={menu}
trigger={['click']}
dropdownRender={(originNode): React.ReactNode => (
<div data-log-detail-ignore="true">{originNode}</div>
)}
>
<SettingOutlined style={{ marginRight: 8 }} className="hover-reveal" />
</Dropdown>
</span>
<Dropdown menu={menu} trigger={['click']}>
<SettingOutlined style={{ marginRight: 8 }} className="hover-reveal" />
</Dropdown>
)}
{title.toString()}{' '}
{!parentIsArray && typeof value !== 'object' && (

View File

@@ -13,7 +13,7 @@ function FieldRenderer({ field }: FieldRendererProps): JSX.Element {
<span className="field-renderer-container">
{dataType && newField && logType ? (
<>
<Tooltip placement="left" title={newField} mouseLeaveDelay={0}>
<Tooltip placement="left" title={newField}>
<Typography.Text ellipsis className="label">
{newField}{' '}
</Typography.Text>

View File

@@ -46,7 +46,7 @@ function Overview({
handleChangeSelectedView,
}: Props): JSX.Element {
const [isWrapWord, setIsWrapWord] = useState<boolean>(true);
const [isSearchVisible, setIsSearchVisible] = useState<boolean>(true);
const [isSearchVisible, setIsSearchVisible] = useState<boolean>(false);
const [isAttributesExpanded, setIsAttributesExpanded] = useState<boolean>(
true,
);

View File

@@ -245,7 +245,7 @@ function TableView({
<Typography.Text>{renderedField}</Typography.Text>
{traceId && (
<Tooltip title="Inspect in Trace" mouseLeaveDelay={0}>
<Tooltip title="Inspect in Trace">
<Button
className="periscope-btn"
onClick={(

View File

@@ -1,34 +0,0 @@
import { Color } from '@signozhq/design-tokens';
import { getColorsForSeverityLabels, isRedLike } from '../utils';
describe('getColorsForSeverityLabels', () => {
it('should return slate for blank labels', () => {
expect(getColorsForSeverityLabels('', 0)).toBe(Color.BG_SLATE_300);
expect(getColorsForSeverityLabels(' ', 0)).toBe(Color.BG_SLATE_300);
});
it('should return correct colors for known severity variants', () => {
expect(getColorsForSeverityLabels('INFO', 0)).toBe(Color.BG_ROBIN_600);
expect(getColorsForSeverityLabels('ERROR', 0)).toBe(Color.BG_CHERRY_600);
expect(getColorsForSeverityLabels('WARN', 0)).toBe(Color.BG_AMBER_600);
expect(getColorsForSeverityLabels('DEBUG', 0)).toBe(Color.BG_AQUA_600);
expect(getColorsForSeverityLabels('TRACE', 0)).toBe(Color.BG_FOREST_600);
expect(getColorsForSeverityLabels('FATAL', 0)).toBe(Color.BG_SAKURA_600);
});
it('should return non-red colors for unrecognized labels at any index', () => {
for (let i = 0; i < 30; i++) {
const color = getColorsForSeverityLabels('4', i);
expect(isRedLike(color)).toBe(false);
}
});
it('should return non-red colors for numeric severity text', () => {
const numericLabels = ['1', '2', '4', '9', '13', '17', '21'];
numericLabels.forEach((label) => {
const color = getColorsForSeverityLabels(label, 0);
expect(isRedLike(color)).toBe(false);
});
});
});

View File

@@ -1,16 +1,7 @@
import { Color } from '@signozhq/design-tokens';
import { themeColors } from 'constants/theme';
import { colors } from 'lib/getRandomColor';
// Function to determine if a color is "red-like" based on its RGB values
export function isRedLike(hex: string): boolean {
const r = parseInt(hex.slice(1, 3), 16);
const g = parseInt(hex.slice(3, 5), 16);
const b = parseInt(hex.slice(5, 7), 16);
return r > 180 && r > g * 1.4 && r > b * 1.4;
}
const SAFE_FALLBACK_COLORS = colors.filter((c) => !isRedLike(c));
const SEVERITY_VARIANT_COLORS: Record<string, string> = {
TRACE: Color.BG_FOREST_600,
Trace: Color.BG_FOREST_500,
@@ -76,13 +67,8 @@ export function getColorsForSeverityLabels(
label: string,
index: number,
): string {
const trimmed = label.trim();
if (!trimmed) {
return Color.BG_SLATE_300;
}
const variantColor = SEVERITY_VARIANT_COLORS[trimmed];
// Check if we have a direct mapping for this severity variant
const variantColor = SEVERITY_VARIANT_COLORS[label.trim()];
if (variantColor) {
return variantColor;
}
@@ -117,8 +103,5 @@ export function getColorsForSeverityLabels(
return Color.BG_SAKURA_500;
}
return (
SAFE_FALLBACK_COLORS[index % SAFE_FALLBACK_COLORS.length] ||
Color.BG_SLATE_400
);
return colors[index % colors.length] || themeColors.red;
}

View File

@@ -111,19 +111,23 @@ const InfinityTable = forwardRef<TableVirtuosoHandle, InfinityTableProps>(
);
const itemContent = useCallback(
(index: number, log: Record<string, unknown>): JSX.Element => (
<TableRow
tableColumns={tableColumns}
index={index}
log={log}
logs={tableViewProps.logs}
hasActions
fontSize={tableViewProps.fontSize}
onShowLogDetails={onSetActiveLog}
isActiveLog={activeLog?.id === log.id}
onClearActiveLog={onCloseActiveLog}
/>
),
(index: number, log: Record<string, unknown>): JSX.Element => {
return (
<div key={log.id as string}>
<TableRow
tableColumns={tableColumns}
index={index}
log={log}
logs={tableViewProps.logs}
hasActions
fontSize={tableViewProps.fontSize}
onShowLogDetails={onSetActiveLog}
isActiveLog={activeLog?.id === log.id}
onClearActiveLog={onCloseActiveLog}
/>
</div>
);
},
[
tableColumns,
onSetActiveLog,

View File

@@ -1,7 +1,7 @@
import { useTranslation } from 'react-i18next';
import { Form } from 'antd';
import { initialQueryBuilderFormValuesMap } from 'constants/queryBuilder';
import QueryBuilderSearchV2 from 'container/QueryBuilder/filters/QueryBuilderSearchV2/QueryBuilderSearchV2';
import QueryBuilderSearch from 'container/QueryBuilder/filters/QueryBuilderSearch';
import isEqual from 'lodash-es/isEqual';
import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
@@ -30,7 +30,7 @@ function TagFilterInput({
};
return (
<QueryBuilderSearchV2
<QueryBuilderSearch
query={query}
onChange={onQueryChange}
placeholder={placeholder}

View File

@@ -86,7 +86,7 @@ jest.mock('providers/preferences/sync/usePreferenceSync', () => ({
}));
const BASE_URL = ENVIRONMENT.baseURL;
const attributeKeysURL = `${BASE_URL}/api/v3/filter_suggestions`;
const attributeKeysURL = `${BASE_URL}/api/v3/autocomplete/attribute_keys`;
describe('PipelinePage container test', () => {
beforeAll(() => {
@@ -333,34 +333,26 @@ describe('PipelinePage container test', () => {
ctx.json({
status: 'success',
data: {
attributes: [
attributeKeys: [
{
key: 'otelServiceName',
dataType: DataTypes.String,
type: 'tag',
isColumn: false,
isJSON: false,
},
{
key: 'service.name',
dataType: DataTypes.String,
type: 'resource',
isColumn: false,
isJSON: false,
},
{
key: 'service.instance.id',
dataType: DataTypes.String,
type: 'resource',
isColumn: false,
isJSON: false,
},
{
key: 'service.name',
dataType: DataTypes.String,
type: 'resource',
},
{
key: 'service.name',
dataType: DataTypes.String,
type: 'tag',
isColumn: false,
isJSON: false,
},
],
},

View File

@@ -973,7 +973,6 @@ function QueryBuilderSearchV2(
return (
<div className="query-builder-search-v2">
<Select
data-testid={'qb-search-select'}
ref={selectRef}
// eslint-disable-next-line react/jsx-props-no-spreading
{...(hasPopupContainer ? { getPopupContainer: popupContainer } : {})}

View File

@@ -1,94 +0,0 @@
import { act, renderHook } from '@testing-library/react';
import { useActiveLog } from 'hooks/logs/useActiveLog';
import { useIsTextSelected } from 'hooks/useIsTextSelected';
import { ILog } from 'types/api/logs/log';
import useLogDetailHandlers from '../useLogDetailHandlers';
jest.mock('hooks/logs/useActiveLog');
jest.mock('hooks/useIsTextSelected');
const mockOnSetActiveLog = jest.fn();
const mockOnClearActiveLog = jest.fn();
const mockOnAddToQuery = jest.fn();
const mockOnGroupByAttribute = jest.fn();
const mockIsTextSelected = jest.fn();
const mockLog: ILog = {
id: 'log-1',
timestamp: '2024-01-01T00:00:00Z',
date: '2024-01-01',
body: 'test log body',
severityText: 'INFO',
severityNumber: 9,
traceFlags: 0,
traceId: '',
spanID: '',
attributesString: {},
attributesInt: {},
attributesFloat: {},
resources_string: {},
scope_string: {},
attributes_string: {},
severity_text: '',
severity_number: 0,
};
beforeEach(() => {
jest.clearAllMocks();
jest.mocked(useIsTextSelected).mockReturnValue(mockIsTextSelected);
jest.mocked(useActiveLog).mockReturnValue({
activeLog: null,
onSetActiveLog: mockOnSetActiveLog,
onClearActiveLog: mockOnClearActiveLog,
onAddToQuery: mockOnAddToQuery,
onGroupByAttribute: mockOnGroupByAttribute,
});
});
it('should not open log detail when text is selected', () => {
mockIsTextSelected.mockReturnValue(true);
const { result } = renderHook(() => useLogDetailHandlers());
act(() => {
result.current.handleSetActiveLog(mockLog);
});
expect(mockOnSetActiveLog).not.toHaveBeenCalled();
});
it('should open log detail when no text is selected', () => {
mockIsTextSelected.mockReturnValue(false);
const { result } = renderHook(() => useLogDetailHandlers());
act(() => {
result.current.handleSetActiveLog(mockLog);
});
expect(mockOnSetActiveLog).toHaveBeenCalledWith(mockLog);
});
it('should toggle off when clicking the same active log', () => {
mockIsTextSelected.mockReturnValue(false);
jest.mocked(useActiveLog).mockReturnValue({
activeLog: mockLog,
onSetActiveLog: mockOnSetActiveLog,
onClearActiveLog: mockOnClearActiveLog,
onAddToQuery: mockOnAddToQuery,
onGroupByAttribute: mockOnGroupByAttribute,
});
const { result } = renderHook(() => useLogDetailHandlers());
act(() => {
result.current.handleSetActiveLog(mockLog);
});
expect(mockOnClearActiveLog).toHaveBeenCalled();
expect(mockOnSetActiveLog).not.toHaveBeenCalled();
});

View File

@@ -1,17 +1,15 @@
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
import { useCallback, useMemo, useState } from 'react';
import { useQueryClient } from 'react-query';
import { useDispatch, useSelector } from 'react-redux';
import { useHistory, useLocation } from 'react-router-dom';
import { getAggregateKeys } from 'api/queryBuilder/getAttributeKeys';
import { SOMETHING_WENT_WRONG } from 'constants/api';
import { QueryParams } from 'constants/query';
import { OPERATORS, QueryBuilderKeys } from 'constants/queryBuilder';
import ROUTES from 'constants/routes';
import { MetricsType } from 'container/MetricsApplication/constant';
import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { useNotifications } from 'hooks/useNotifications';
import useUrlQuery from 'hooks/useUrlQuery';
import { getGeneratedFilterQueryString } from 'lib/getGeneratedFilterQueryString';
import { chooseAutocompleteFromCustomValue } from 'lib/newQueryBuilder/chooseAutocompleteFromCustomValue';
import { AppState } from 'store/reducers';
@@ -56,20 +54,6 @@ export const useActiveLog = (): UseActiveLog => {
const [activeLog, setActiveLog] = useState<ILog | null>(null);
// Close drawer/clear active log when query in URL changes
const urlQuery = useUrlQuery();
const compositeQuery = urlQuery.get(QueryParams.compositeQuery) ?? '';
const prevQueryRef = useRef<string | null>(null);
useEffect(() => {
if (
prevQueryRef.current !== null &&
prevQueryRef.current !== compositeQuery
) {
setActiveLog(null);
}
prevQueryRef.current = compositeQuery;
}, [compositeQuery]);
const onSetDetailedLogData = useCallback(
(logData: ILog) => {
dispatch({

View File

@@ -2,7 +2,6 @@ import { useCallback, useState } from 'react';
import { VIEW_TYPES } from 'components/LogDetail/constants';
import type { UseActiveLog } from 'hooks/logs/types';
import { useActiveLog } from 'hooks/logs/useActiveLog';
import { useIsTextSelected } from 'hooks/useIsTextSelected';
import { ILog } from 'types/api/logs/log';
type SelectedTab = typeof VIEW_TYPES[keyof typeof VIEW_TYPES] | undefined;
@@ -29,13 +28,9 @@ function useLogDetailHandlers({
onAddToQuery,
} = useActiveLog();
const [selectedTab, setSelectedTab] = useState<SelectedTab>(defaultTab);
const isTextSelected = useIsTextSelected();
const handleSetActiveLog = useCallback(
(log: ILog, nextTab: SelectedTab = defaultTab): void => {
if (isTextSelected()) {
return;
}
if (activeLog?.id === log.id) {
onClearActiveLog();
setSelectedTab(undefined);
@@ -44,7 +39,7 @@ function useLogDetailHandlers({
onSetActiveLog(log);
setSelectedTab(nextTab ?? defaultTab);
},
[activeLog?.id, defaultTab, onClearActiveLog, onSetActiveLog, isTextSelected],
[activeLog?.id, defaultTab, onClearActiveLog, onSetActiveLog],
);
const handleCloseLogDetail = useCallback((): void => {

View File

@@ -1,10 +0,0 @@
import { useCallback } from 'react';
export function useIsTextSelected(): () => boolean {
return useCallback((): boolean => {
const selection = window.getSelection();
return (
!!selection && !selection.isCollapsed && selection.toString().length > 0
);
}, []);
}

View File

@@ -1,182 +0,0 @@
grammar HavingExpression;
/*
* Parser Rules
*/
query
: expression EOF
;
// Expression with standard boolean precedence:
// - parentheses > NOT > AND > OR
expression
: orExpression
;
// OR expressions
orExpression
: andExpression ( OR andExpression )*
;
// AND expressions + optional chaining with implicit AND if no OR is present
andExpression
: primary ( AND primary | primary )*
;
// Primary: an optionally negated parenthesized expression, or a comparison.
// NOT is only allowed on grouped expressions, not on bare comparisons.
// E.g.: NOT (count() > 100 AND sum(bytes) < 500)
primary
: NOT? LPAREN orExpression RPAREN
| comparison
;
/*
* Comparison between two arithmetic operands.
* E.g.: count() > 100, total_duration >= 500, __result_0 != 0
*/
comparison
: operand compOp operand
;
compOp
: EQUALS
| NOT_EQUALS
| NEQ
| LT
| LE
| GT
| GE
;
/*
* Operands support additive arithmetic (+/-).
* E.g.: sum(a) + sum(b) > 1000, count() - 10 > 0
*/
operand
: operand (PLUS | MINUS) term
| term
;
/*
* Terms support multiplicative arithmetic (*, /, %)
* E.g.: count() * 2 > 100, sum(bytes) / 1024 > 10
*/
term
: term (STAR | SLASH | PERCENT) factor
| factor
;
/*
* Factors: atoms or parenthesized operands for arithmetic grouping.
* E.g.: (sum(a) + sum(b)) * 2 > 100
*/
factor
: LPAREN operand RPAREN
| atom
;
/*
* Atoms are the basic building blocks of arithmetic operands:
* - aggregate function calls: count(), sum(bytes), avg(duration)
* - identifier references: aliases, result refs (__result, __result_0, __result0)
* - numeric literals: 100, 0.5, 1e6
*
* Quoted string literals are intentionally excluded — HAVING expressions
* compare aggregate results which are always numeric.
*/
atom
: functionCall
| identifier
| NUMBER
;
/*
* Aggregate function calls:
* - count()
* - sum(bytes)
* - avg(duration_nano)
*
* Arguments are restricted to a single column identifier.
* Nested function calls are not valid in HAVING expressions —
* reference nested aggregations by alias or expression string instead.
*/
functionCall
: IDENTIFIER LPAREN functionArgs? RPAREN
;
functionArgs
: functionArg ( COMMA functionArg )*
;
// Function argument: a column being aggregated (e.g. bytes, duration_nano)
functionArg
: IDENTIFIER
;
// Identifier references: aliases, field names, result references
// Examples: total_logs, error_count, __result, __result_0, __result0, p99
identifier
: IDENTIFIER
;
/*
* Lexer Rules
*/
// Punctuation
LPAREN : '(' ;
RPAREN : ')' ;
COMMA : ',' ;
// Comparison operators
EQUALS : '=' | '==' ;
NOT_EQUALS : '!=' ;
NEQ : '<>' ; // alternate not-equals operator
LT : '<' ;
LE : '<=' ;
GT : '>' ;
GE : '>=' ;
// Arithmetic operators
PLUS : '+' ;
MINUS : '-' ;
STAR : '*' ;
SLASH : '/' ;
PERCENT : '%' ;
// Boolean logic (case-insensitive)
NOT : [Nn][Oo][Tt] ;
AND : [Aa][Nn][Dd] ;
OR : [Oo][Rr] ;
// Boolean constants (case-insensitive)
BOOL
: [Tt][Rr][Uu][Ee]
| [Ff][Aa][Ll][Ss][Ee]
;
fragment SIGN : [+-] ;
// Numbers: optional sign, digits, optional decimal, optional scientific notation
// E.g.: 100, -10, 0.5, 1.5e3, .75, -3.14
NUMBER
: SIGN? DIGIT+ ('.' DIGIT*)? ([eE] SIGN? DIGIT+)?
| SIGN? '.' DIGIT+ ([eE] SIGN? DIGIT+)?
;
// Identifiers: start with a letter or underscore, followed by alphanumeric/underscores.
// Optionally dotted for nested field paths.
// Covers: count, sum, p99, total_logs, error_count, __result, __result_0, __result0,
// service.name, span.duration
IDENTIFIER
: [a-zA-Z_] [a-zA-Z0-9_]* ( '.' [a-zA-Z_] [a-zA-Z0-9_]* )*
;
// Skip whitespace
WS
: [ \t\r\n]+ -> skip
;
fragment DIGIT : [0-9] ;

View File

@@ -5,7 +5,7 @@ import (
"slices"
"strings"
parser "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
parser "github.com/SigNoz/signoz/pkg/parser/grammar"
"github.com/antlr4-go/antlr/v4"
"golang.org/x/exp/maps"

View File

@@ -87,7 +87,7 @@ func (m *module) ListPromotedAndIndexedPaths(ctx context.Context) ([]promotetype
}
func (m *module) listPromotedPaths(ctx context.Context) ([]string, error) {
paths, err := m.metadataStore.GetPromotedPaths(ctx)
paths, err := m.metadataStore.ListPromotedPaths(ctx)
if err != nil {
return nil, err
}
@@ -142,7 +142,7 @@ func (m *module) PromoteAndIndexPaths(
pathsStr = append(pathsStr, path.Path)
}
existingPromotedPaths, err := m.metadataStore.GetPromotedPaths(ctx, pathsStr...)
existingPromotedPaths, err := m.metadataStore.ListPromotedPaths(ctx, pathsStr...)
if err != nil {
return err
}

View File

@@ -1,70 +0,0 @@
token literal names:
null
'('
')'
','
null
'!='
'<>'
'<'
'<='
'>'
'>='
'+'
'-'
'*'
'/'
'%'
null
null
null
null
null
null
null
token symbolic names:
null
LPAREN
RPAREN
COMMA
EQUALS
NOT_EQUALS
NEQ
LT
LE
GT
GE
PLUS
MINUS
STAR
SLASH
PERCENT
NOT
AND
OR
BOOL
NUMBER
IDENTIFIER
WS
rule names:
query
expression
orExpression
andExpression
primary
comparison
compOp
operand
term
factor
atom
functionCall
functionArgs
functionArg
identifier
atn:
[4, 1, 22, 122, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2, 4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2, 10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 5, 2, 39, 8, 2, 10, 2, 12, 2, 42, 9, 2, 1, 3, 1, 3, 1, 3, 1, 3, 5, 3, 48, 8, 3, 10, 3, 12, 3, 51, 9, 3, 1, 4, 3, 4, 54, 8, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 3, 4, 61, 8, 4, 1, 5, 1, 5, 1, 5, 1, 5, 1, 6, 1, 6, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 7, 5, 7, 75, 8, 7, 10, 7, 12, 7, 78, 9, 7, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 1, 8, 5, 8, 86, 8, 8, 10, 8, 12, 8, 89, 9, 8, 1, 9, 1, 9, 1, 9, 1, 9, 1, 9, 3, 9, 96, 8, 9, 1, 10, 1, 10, 1, 10, 3, 10, 101, 8, 10, 1, 11, 1, 11, 1, 11, 3, 11, 106, 8, 11, 1, 11, 1, 11, 1, 12, 1, 12, 1, 12, 5, 12, 113, 8, 12, 10, 12, 12, 12, 116, 9, 12, 1, 13, 1, 13, 1, 14, 1, 14, 1, 14, 0, 2, 14, 16, 15, 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 0, 3, 1, 0, 4, 10, 1, 0, 11, 12, 1, 0, 13, 15, 118, 0, 30, 1, 0, 0, 0, 2, 33, 1, 0, 0, 0, 4, 35, 1, 0, 0, 0, 6, 43, 1, 0, 0, 0, 8, 60, 1, 0, 0, 0, 10, 62, 1, 0, 0, 0, 12, 66, 1, 0, 0, 0, 14, 68, 1, 0, 0, 0, 16, 79, 1, 0, 0, 0, 18, 95, 1, 0, 0, 0, 20, 100, 1, 0, 0, 0, 22, 102, 1, 0, 0, 0, 24, 109, 1, 0, 0, 0, 26, 117, 1, 0, 0, 0, 28, 119, 1, 0, 0, 0, 30, 31, 3, 2, 1, 0, 31, 32, 5, 0, 0, 1, 32, 1, 1, 0, 0, 0, 33, 34, 3, 4, 2, 0, 34, 3, 1, 0, 0, 0, 35, 40, 3, 6, 3, 0, 36, 37, 5, 18, 0, 0, 37, 39, 3, 6, 3, 0, 38, 36, 1, 0, 0, 0, 39, 42, 1, 0, 0, 0, 40, 38, 1, 0, 0, 0, 40, 41, 1, 0, 0, 0, 41, 5, 1, 0, 0, 0, 42, 40, 1, 0, 0, 0, 43, 49, 3, 8, 4, 0, 44, 45, 5, 17, 0, 0, 45, 48, 3, 8, 4, 0, 46, 48, 3, 8, 4, 0, 47, 44, 1, 0, 0, 0, 47, 46, 1, 0, 0, 0, 48, 51, 1, 0, 0, 0, 49, 47, 1, 0, 0, 0, 49, 50, 1, 0, 0, 0, 50, 7, 1, 0, 0, 0, 51, 49, 1, 0, 0, 0, 52, 54, 5, 16, 0, 0, 53, 52, 1, 0, 0, 0, 53, 54, 1, 0, 0, 0, 54, 55, 1, 0, 0, 0, 55, 56, 5, 1, 0, 0, 56, 57, 3, 4, 2, 0, 57, 58, 5, 2, 0, 0, 58, 61, 1, 0, 0, 0, 59, 61, 3, 10, 5, 0, 60, 53, 1, 0, 0, 0, 60, 59, 1, 0, 0, 0, 61, 9, 1, 0, 0, 0, 62, 63, 3, 14, 7, 0, 63, 64, 3, 12, 6, 0, 64, 65, 3, 14, 7, 0, 65, 11, 1, 0, 0, 0, 66, 67, 7, 0, 0, 0, 67, 13, 1, 0, 0, 0, 68, 69, 6, 7, -1, 0, 69, 70, 3, 16, 8, 0, 70, 76, 1, 0, 0, 0, 71, 72, 10, 2, 0, 0, 72, 73, 7, 1, 0, 0, 73, 75, 3, 16, 8, 0, 74, 71, 1, 0, 0, 0, 75, 78, 1, 0, 0, 0, 76, 74, 1, 0, 0, 0, 76, 77, 1, 0, 0, 0, 77, 15, 1, 0, 0, 0, 78, 76, 1, 0, 0, 0, 79, 80, 6, 8, -1, 0, 80, 81, 3, 18, 9, 0, 81, 87, 1, 0, 0, 0, 82, 83, 10, 2, 0, 0, 83, 84, 7, 2, 0, 0, 84, 86, 3, 18, 9, 0, 85, 82, 1, 0, 0, 0, 86, 89, 1, 0, 0, 0, 87, 85, 1, 0, 0, 0, 87, 88, 1, 0, 0, 0, 88, 17, 1, 0, 0, 0, 89, 87, 1, 0, 0, 0, 90, 91, 5, 1, 0, 0, 91, 92, 3, 14, 7, 0, 92, 93, 5, 2, 0, 0, 93, 96, 1, 0, 0, 0, 94, 96, 3, 20, 10, 0, 95, 90, 1, 0, 0, 0, 95, 94, 1, 0, 0, 0, 96, 19, 1, 0, 0, 0, 97, 101, 3, 22, 11, 0, 98, 101, 3, 28, 14, 0, 99, 101, 5, 20, 0, 0, 100, 97, 1, 0, 0, 0, 100, 98, 1, 0, 0, 0, 100, 99, 1, 0, 0, 0, 101, 21, 1, 0, 0, 0, 102, 103, 5, 21, 0, 0, 103, 105, 5, 1, 0, 0, 104, 106, 3, 24, 12, 0, 105, 104, 1, 0, 0, 0, 105, 106, 1, 0, 0, 0, 106, 107, 1, 0, 0, 0, 107, 108, 5, 2, 0, 0, 108, 23, 1, 0, 0, 0, 109, 114, 3, 26, 13, 0, 110, 111, 5, 3, 0, 0, 111, 113, 3, 26, 13, 0, 112, 110, 1, 0, 0, 0, 113, 116, 1, 0, 0, 0, 114, 112, 1, 0, 0, 0, 114, 115, 1, 0, 0, 0, 115, 25, 1, 0, 0, 0, 116, 114, 1, 0, 0, 0, 117, 118, 5, 21, 0, 0, 118, 27, 1, 0, 0, 0, 119, 120, 5, 21, 0, 0, 120, 29, 1, 0, 0, 0, 11, 40, 47, 49, 53, 60, 76, 87, 95, 100, 105, 114]

View File

@@ -1,36 +0,0 @@
LPAREN=1
RPAREN=2
COMMA=3
EQUALS=4
NOT_EQUALS=5
NEQ=6
LT=7
LE=8
GT=9
GE=10
PLUS=11
MINUS=12
STAR=13
SLASH=14
PERCENT=15
NOT=16
AND=17
OR=18
BOOL=19
NUMBER=20
IDENTIFIER=21
WS=22
'('=1
')'=2
','=3
'!='=5
'<>'=6
'<'=7
'<='=8
'>'=9
'>='=10
'+'=11
'-'=12
'*'=13
'/'=14
'%'=15

File diff suppressed because one or more lines are too long

View File

@@ -1,36 +0,0 @@
LPAREN=1
RPAREN=2
COMMA=3
EQUALS=4
NOT_EQUALS=5
NEQ=6
LT=7
LE=8
GT=9
GE=10
PLUS=11
MINUS=12
STAR=13
SLASH=14
PERCENT=15
NOT=16
AND=17
OR=18
BOOL=19
NUMBER=20
IDENTIFIER=21
WS=22
'('=1
')'=2
','=3
'!='=5
'<>'=6
'<'=7
'<='=8
'>'=9
'>='=10
'+'=11
'-'=12
'*'=13
'/'=14
'%'=15

View File

@@ -1,112 +0,0 @@
// Code generated from grammar/HavingExpression.g4 by ANTLR 4.13.2. DO NOT EDIT.
package parser // HavingExpression
import "github.com/antlr4-go/antlr/v4"
// BaseHavingExpressionListener is a complete listener for a parse tree produced by HavingExpressionParser.
type BaseHavingExpressionListener struct{}
var _ HavingExpressionListener = &BaseHavingExpressionListener{}
// VisitTerminal is called when a terminal node is visited.
func (s *BaseHavingExpressionListener) VisitTerminal(node antlr.TerminalNode) {}
// VisitErrorNode is called when an error node is visited.
func (s *BaseHavingExpressionListener) VisitErrorNode(node antlr.ErrorNode) {}
// EnterEveryRule is called when any rule is entered.
func (s *BaseHavingExpressionListener) EnterEveryRule(ctx antlr.ParserRuleContext) {}
// ExitEveryRule is called when any rule is exited.
func (s *BaseHavingExpressionListener) ExitEveryRule(ctx antlr.ParserRuleContext) {}
// EnterQuery is called when production query is entered.
func (s *BaseHavingExpressionListener) EnterQuery(ctx *QueryContext) {}
// ExitQuery is called when production query is exited.
func (s *BaseHavingExpressionListener) ExitQuery(ctx *QueryContext) {}
// EnterExpression is called when production expression is entered.
func (s *BaseHavingExpressionListener) EnterExpression(ctx *ExpressionContext) {}
// ExitExpression is called when production expression is exited.
func (s *BaseHavingExpressionListener) ExitExpression(ctx *ExpressionContext) {}
// EnterOrExpression is called when production orExpression is entered.
func (s *BaseHavingExpressionListener) EnterOrExpression(ctx *OrExpressionContext) {}
// ExitOrExpression is called when production orExpression is exited.
func (s *BaseHavingExpressionListener) ExitOrExpression(ctx *OrExpressionContext) {}
// EnterAndExpression is called when production andExpression is entered.
func (s *BaseHavingExpressionListener) EnterAndExpression(ctx *AndExpressionContext) {}
// ExitAndExpression is called when production andExpression is exited.
func (s *BaseHavingExpressionListener) ExitAndExpression(ctx *AndExpressionContext) {}
// EnterPrimary is called when production primary is entered.
func (s *BaseHavingExpressionListener) EnterPrimary(ctx *PrimaryContext) {}
// ExitPrimary is called when production primary is exited.
func (s *BaseHavingExpressionListener) ExitPrimary(ctx *PrimaryContext) {}
// EnterComparison is called when production comparison is entered.
func (s *BaseHavingExpressionListener) EnterComparison(ctx *ComparisonContext) {}
// ExitComparison is called when production comparison is exited.
func (s *BaseHavingExpressionListener) ExitComparison(ctx *ComparisonContext) {}
// EnterCompOp is called when production compOp is entered.
func (s *BaseHavingExpressionListener) EnterCompOp(ctx *CompOpContext) {}
// ExitCompOp is called when production compOp is exited.
func (s *BaseHavingExpressionListener) ExitCompOp(ctx *CompOpContext) {}
// EnterOperand is called when production operand is entered.
func (s *BaseHavingExpressionListener) EnterOperand(ctx *OperandContext) {}
// ExitOperand is called when production operand is exited.
func (s *BaseHavingExpressionListener) ExitOperand(ctx *OperandContext) {}
// EnterTerm is called when production term is entered.
func (s *BaseHavingExpressionListener) EnterTerm(ctx *TermContext) {}
// ExitTerm is called when production term is exited.
func (s *BaseHavingExpressionListener) ExitTerm(ctx *TermContext) {}
// EnterFactor is called when production factor is entered.
func (s *BaseHavingExpressionListener) EnterFactor(ctx *FactorContext) {}
// ExitFactor is called when production factor is exited.
func (s *BaseHavingExpressionListener) ExitFactor(ctx *FactorContext) {}
// EnterAtom is called when production atom is entered.
func (s *BaseHavingExpressionListener) EnterAtom(ctx *AtomContext) {}
// ExitAtom is called when production atom is exited.
func (s *BaseHavingExpressionListener) ExitAtom(ctx *AtomContext) {}
// EnterFunctionCall is called when production functionCall is entered.
func (s *BaseHavingExpressionListener) EnterFunctionCall(ctx *FunctionCallContext) {}
// ExitFunctionCall is called when production functionCall is exited.
func (s *BaseHavingExpressionListener) ExitFunctionCall(ctx *FunctionCallContext) {}
// EnterFunctionArgs is called when production functionArgs is entered.
func (s *BaseHavingExpressionListener) EnterFunctionArgs(ctx *FunctionArgsContext) {}
// ExitFunctionArgs is called when production functionArgs is exited.
func (s *BaseHavingExpressionListener) ExitFunctionArgs(ctx *FunctionArgsContext) {}
// EnterFunctionArg is called when production functionArg is entered.
func (s *BaseHavingExpressionListener) EnterFunctionArg(ctx *FunctionArgContext) {}
// ExitFunctionArg is called when production functionArg is exited.
func (s *BaseHavingExpressionListener) ExitFunctionArg(ctx *FunctionArgContext) {}
// EnterIdentifier is called when production identifier is entered.
func (s *BaseHavingExpressionListener) EnterIdentifier(ctx *IdentifierContext) {}
// ExitIdentifier is called when production identifier is exited.
func (s *BaseHavingExpressionListener) ExitIdentifier(ctx *IdentifierContext) {}

View File

@@ -1,69 +0,0 @@
// Code generated from grammar/HavingExpression.g4 by ANTLR 4.13.2. DO NOT EDIT.
package parser // HavingExpression
import "github.com/antlr4-go/antlr/v4"
type BaseHavingExpressionVisitor struct {
*antlr.BaseParseTreeVisitor
}
func (v *BaseHavingExpressionVisitor) VisitQuery(ctx *QueryContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitExpression(ctx *ExpressionContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitOrExpression(ctx *OrExpressionContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitAndExpression(ctx *AndExpressionContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitPrimary(ctx *PrimaryContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitComparison(ctx *ComparisonContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitCompOp(ctx *CompOpContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitOperand(ctx *OperandContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitTerm(ctx *TermContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitFactor(ctx *FactorContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitAtom(ctx *AtomContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitFunctionCall(ctx *FunctionCallContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitFunctionArgs(ctx *FunctionArgsContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitFunctionArg(ctx *FunctionArgContext) interface{} {
return v.VisitChildren(ctx)
}
func (v *BaseHavingExpressionVisitor) VisitIdentifier(ctx *IdentifierContext) interface{} {
return v.VisitChildren(ctx)
}

View File

@@ -1,213 +0,0 @@
// Code generated from grammar/HavingExpression.g4 by ANTLR 4.13.2. DO NOT EDIT.
package parser
import (
"fmt"
"github.com/antlr4-go/antlr/v4"
"sync"
"unicode"
)
// Suppress unused import error
var _ = fmt.Printf
var _ = sync.Once{}
var _ = unicode.IsLetter
type HavingExpressionLexer struct {
*antlr.BaseLexer
channelNames []string
modeNames []string
// TODO: EOF string
}
var HavingExpressionLexerLexerStaticData struct {
once sync.Once
serializedATN []int32
ChannelNames []string
ModeNames []string
LiteralNames []string
SymbolicNames []string
RuleNames []string
PredictionContextCache *antlr.PredictionContextCache
atn *antlr.ATN
decisionToDFA []*antlr.DFA
}
func havingexpressionlexerLexerInit() {
staticData := &HavingExpressionLexerLexerStaticData
staticData.ChannelNames = []string{
"DEFAULT_TOKEN_CHANNEL", "HIDDEN",
}
staticData.ModeNames = []string{
"DEFAULT_MODE",
}
staticData.LiteralNames = []string{
"", "'('", "')'", "','", "", "'!='", "'<>'", "'<'", "'<='", "'>'", "'>='",
"'+'", "'-'", "'*'", "'/'", "'%'",
}
staticData.SymbolicNames = []string{
"", "LPAREN", "RPAREN", "COMMA", "EQUALS", "NOT_EQUALS", "NEQ", "LT",
"LE", "GT", "GE", "PLUS", "MINUS", "STAR", "SLASH", "PERCENT", "NOT",
"AND", "OR", "BOOL", "NUMBER", "IDENTIFIER", "WS",
}
staticData.RuleNames = []string{
"LPAREN", "RPAREN", "COMMA", "EQUALS", "NOT_EQUALS", "NEQ", "LT", "LE",
"GT", "GE", "PLUS", "MINUS", "STAR", "SLASH", "PERCENT", "NOT", "AND",
"OR", "BOOL", "SIGN", "NUMBER", "IDENTIFIER", "WS", "DIGIT",
}
staticData.PredictionContextCache = antlr.NewPredictionContextCache()
staticData.serializedATN = []int32{
4, 0, 22, 189, 6, -1, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2,
4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2,
10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 2, 15,
7, 15, 2, 16, 7, 16, 2, 17, 7, 17, 2, 18, 7, 18, 2, 19, 7, 19, 2, 20, 7,
20, 2, 21, 7, 21, 2, 22, 7, 22, 2, 23, 7, 23, 1, 0, 1, 0, 1, 1, 1, 1, 1,
2, 1, 2, 1, 3, 1, 3, 1, 3, 3, 3, 59, 8, 3, 1, 4, 1, 4, 1, 4, 1, 5, 1, 5,
1, 5, 1, 6, 1, 6, 1, 7, 1, 7, 1, 7, 1, 8, 1, 8, 1, 9, 1, 9, 1, 9, 1, 10,
1, 10, 1, 11, 1, 11, 1, 12, 1, 12, 1, 13, 1, 13, 1, 14, 1, 14, 1, 15, 1,
15, 1, 15, 1, 15, 1, 16, 1, 16, 1, 16, 1, 16, 1, 17, 1, 17, 1, 17, 1, 18,
1, 18, 1, 18, 1, 18, 1, 18, 1, 18, 1, 18, 1, 18, 1, 18, 3, 18, 107, 8,
18, 1, 19, 1, 19, 1, 20, 3, 20, 112, 8, 20, 1, 20, 4, 20, 115, 8, 20, 11,
20, 12, 20, 116, 1, 20, 1, 20, 5, 20, 121, 8, 20, 10, 20, 12, 20, 124,
9, 20, 3, 20, 126, 8, 20, 1, 20, 1, 20, 3, 20, 130, 8, 20, 1, 20, 4, 20,
133, 8, 20, 11, 20, 12, 20, 134, 3, 20, 137, 8, 20, 1, 20, 3, 20, 140,
8, 20, 1, 20, 1, 20, 4, 20, 144, 8, 20, 11, 20, 12, 20, 145, 1, 20, 1,
20, 3, 20, 150, 8, 20, 1, 20, 4, 20, 153, 8, 20, 11, 20, 12, 20, 154, 3,
20, 157, 8, 20, 3, 20, 159, 8, 20, 1, 21, 1, 21, 5, 21, 163, 8, 21, 10,
21, 12, 21, 166, 9, 21, 1, 21, 1, 21, 1, 21, 5, 21, 171, 8, 21, 10, 21,
12, 21, 174, 9, 21, 5, 21, 176, 8, 21, 10, 21, 12, 21, 179, 9, 21, 1, 22,
4, 22, 182, 8, 22, 11, 22, 12, 22, 183, 1, 22, 1, 22, 1, 23, 1, 23, 0,
0, 24, 1, 1, 3, 2, 5, 3, 7, 4, 9, 5, 11, 6, 13, 7, 15, 8, 17, 9, 19, 10,
21, 11, 23, 12, 25, 13, 27, 14, 29, 15, 31, 16, 33, 17, 35, 18, 37, 19,
39, 0, 41, 20, 43, 21, 45, 22, 47, 0, 1, 0, 16, 2, 0, 78, 78, 110, 110,
2, 0, 79, 79, 111, 111, 2, 0, 84, 84, 116, 116, 2, 0, 65, 65, 97, 97, 2,
0, 68, 68, 100, 100, 2, 0, 82, 82, 114, 114, 2, 0, 85, 85, 117, 117, 2,
0, 69, 69, 101, 101, 2, 0, 70, 70, 102, 102, 2, 0, 76, 76, 108, 108, 2,
0, 83, 83, 115, 115, 2, 0, 43, 43, 45, 45, 3, 0, 65, 90, 95, 95, 97, 122,
4, 0, 48, 57, 65, 90, 95, 95, 97, 122, 3, 0, 9, 10, 13, 13, 32, 32, 1,
0, 48, 57, 205, 0, 1, 1, 0, 0, 0, 0, 3, 1, 0, 0, 0, 0, 5, 1, 0, 0, 0, 0,
7, 1, 0, 0, 0, 0, 9, 1, 0, 0, 0, 0, 11, 1, 0, 0, 0, 0, 13, 1, 0, 0, 0,
0, 15, 1, 0, 0, 0, 0, 17, 1, 0, 0, 0, 0, 19, 1, 0, 0, 0, 0, 21, 1, 0, 0,
0, 0, 23, 1, 0, 0, 0, 0, 25, 1, 0, 0, 0, 0, 27, 1, 0, 0, 0, 0, 29, 1, 0,
0, 0, 0, 31, 1, 0, 0, 0, 0, 33, 1, 0, 0, 0, 0, 35, 1, 0, 0, 0, 0, 37, 1,
0, 0, 0, 0, 41, 1, 0, 0, 0, 0, 43, 1, 0, 0, 0, 0, 45, 1, 0, 0, 0, 1, 49,
1, 0, 0, 0, 3, 51, 1, 0, 0, 0, 5, 53, 1, 0, 0, 0, 7, 58, 1, 0, 0, 0, 9,
60, 1, 0, 0, 0, 11, 63, 1, 0, 0, 0, 13, 66, 1, 0, 0, 0, 15, 68, 1, 0, 0,
0, 17, 71, 1, 0, 0, 0, 19, 73, 1, 0, 0, 0, 21, 76, 1, 0, 0, 0, 23, 78,
1, 0, 0, 0, 25, 80, 1, 0, 0, 0, 27, 82, 1, 0, 0, 0, 29, 84, 1, 0, 0, 0,
31, 86, 1, 0, 0, 0, 33, 90, 1, 0, 0, 0, 35, 94, 1, 0, 0, 0, 37, 106, 1,
0, 0, 0, 39, 108, 1, 0, 0, 0, 41, 158, 1, 0, 0, 0, 43, 160, 1, 0, 0, 0,
45, 181, 1, 0, 0, 0, 47, 187, 1, 0, 0, 0, 49, 50, 5, 40, 0, 0, 50, 2, 1,
0, 0, 0, 51, 52, 5, 41, 0, 0, 52, 4, 1, 0, 0, 0, 53, 54, 5, 44, 0, 0, 54,
6, 1, 0, 0, 0, 55, 59, 5, 61, 0, 0, 56, 57, 5, 61, 0, 0, 57, 59, 5, 61,
0, 0, 58, 55, 1, 0, 0, 0, 58, 56, 1, 0, 0, 0, 59, 8, 1, 0, 0, 0, 60, 61,
5, 33, 0, 0, 61, 62, 5, 61, 0, 0, 62, 10, 1, 0, 0, 0, 63, 64, 5, 60, 0,
0, 64, 65, 5, 62, 0, 0, 65, 12, 1, 0, 0, 0, 66, 67, 5, 60, 0, 0, 67, 14,
1, 0, 0, 0, 68, 69, 5, 60, 0, 0, 69, 70, 5, 61, 0, 0, 70, 16, 1, 0, 0,
0, 71, 72, 5, 62, 0, 0, 72, 18, 1, 0, 0, 0, 73, 74, 5, 62, 0, 0, 74, 75,
5, 61, 0, 0, 75, 20, 1, 0, 0, 0, 76, 77, 5, 43, 0, 0, 77, 22, 1, 0, 0,
0, 78, 79, 5, 45, 0, 0, 79, 24, 1, 0, 0, 0, 80, 81, 5, 42, 0, 0, 81, 26,
1, 0, 0, 0, 82, 83, 5, 47, 0, 0, 83, 28, 1, 0, 0, 0, 84, 85, 5, 37, 0,
0, 85, 30, 1, 0, 0, 0, 86, 87, 7, 0, 0, 0, 87, 88, 7, 1, 0, 0, 88, 89,
7, 2, 0, 0, 89, 32, 1, 0, 0, 0, 90, 91, 7, 3, 0, 0, 91, 92, 7, 0, 0, 0,
92, 93, 7, 4, 0, 0, 93, 34, 1, 0, 0, 0, 94, 95, 7, 1, 0, 0, 95, 96, 7,
5, 0, 0, 96, 36, 1, 0, 0, 0, 97, 98, 7, 2, 0, 0, 98, 99, 7, 5, 0, 0, 99,
100, 7, 6, 0, 0, 100, 107, 7, 7, 0, 0, 101, 102, 7, 8, 0, 0, 102, 103,
7, 3, 0, 0, 103, 104, 7, 9, 0, 0, 104, 105, 7, 10, 0, 0, 105, 107, 7, 7,
0, 0, 106, 97, 1, 0, 0, 0, 106, 101, 1, 0, 0, 0, 107, 38, 1, 0, 0, 0, 108,
109, 7, 11, 0, 0, 109, 40, 1, 0, 0, 0, 110, 112, 3, 39, 19, 0, 111, 110,
1, 0, 0, 0, 111, 112, 1, 0, 0, 0, 112, 114, 1, 0, 0, 0, 113, 115, 3, 47,
23, 0, 114, 113, 1, 0, 0, 0, 115, 116, 1, 0, 0, 0, 116, 114, 1, 0, 0, 0,
116, 117, 1, 0, 0, 0, 117, 125, 1, 0, 0, 0, 118, 122, 5, 46, 0, 0, 119,
121, 3, 47, 23, 0, 120, 119, 1, 0, 0, 0, 121, 124, 1, 0, 0, 0, 122, 120,
1, 0, 0, 0, 122, 123, 1, 0, 0, 0, 123, 126, 1, 0, 0, 0, 124, 122, 1, 0,
0, 0, 125, 118, 1, 0, 0, 0, 125, 126, 1, 0, 0, 0, 126, 136, 1, 0, 0, 0,
127, 129, 7, 7, 0, 0, 128, 130, 3, 39, 19, 0, 129, 128, 1, 0, 0, 0, 129,
130, 1, 0, 0, 0, 130, 132, 1, 0, 0, 0, 131, 133, 3, 47, 23, 0, 132, 131,
1, 0, 0, 0, 133, 134, 1, 0, 0, 0, 134, 132, 1, 0, 0, 0, 134, 135, 1, 0,
0, 0, 135, 137, 1, 0, 0, 0, 136, 127, 1, 0, 0, 0, 136, 137, 1, 0, 0, 0,
137, 159, 1, 0, 0, 0, 138, 140, 3, 39, 19, 0, 139, 138, 1, 0, 0, 0, 139,
140, 1, 0, 0, 0, 140, 141, 1, 0, 0, 0, 141, 143, 5, 46, 0, 0, 142, 144,
3, 47, 23, 0, 143, 142, 1, 0, 0, 0, 144, 145, 1, 0, 0, 0, 145, 143, 1,
0, 0, 0, 145, 146, 1, 0, 0, 0, 146, 156, 1, 0, 0, 0, 147, 149, 7, 7, 0,
0, 148, 150, 3, 39, 19, 0, 149, 148, 1, 0, 0, 0, 149, 150, 1, 0, 0, 0,
150, 152, 1, 0, 0, 0, 151, 153, 3, 47, 23, 0, 152, 151, 1, 0, 0, 0, 153,
154, 1, 0, 0, 0, 154, 152, 1, 0, 0, 0, 154, 155, 1, 0, 0, 0, 155, 157,
1, 0, 0, 0, 156, 147, 1, 0, 0, 0, 156, 157, 1, 0, 0, 0, 157, 159, 1, 0,
0, 0, 158, 111, 1, 0, 0, 0, 158, 139, 1, 0, 0, 0, 159, 42, 1, 0, 0, 0,
160, 164, 7, 12, 0, 0, 161, 163, 7, 13, 0, 0, 162, 161, 1, 0, 0, 0, 163,
166, 1, 0, 0, 0, 164, 162, 1, 0, 0, 0, 164, 165, 1, 0, 0, 0, 165, 177,
1, 0, 0, 0, 166, 164, 1, 0, 0, 0, 167, 168, 5, 46, 0, 0, 168, 172, 7, 12,
0, 0, 169, 171, 7, 13, 0, 0, 170, 169, 1, 0, 0, 0, 171, 174, 1, 0, 0, 0,
172, 170, 1, 0, 0, 0, 172, 173, 1, 0, 0, 0, 173, 176, 1, 0, 0, 0, 174,
172, 1, 0, 0, 0, 175, 167, 1, 0, 0, 0, 176, 179, 1, 0, 0, 0, 177, 175,
1, 0, 0, 0, 177, 178, 1, 0, 0, 0, 178, 44, 1, 0, 0, 0, 179, 177, 1, 0,
0, 0, 180, 182, 7, 14, 0, 0, 181, 180, 1, 0, 0, 0, 182, 183, 1, 0, 0, 0,
183, 181, 1, 0, 0, 0, 183, 184, 1, 0, 0, 0, 184, 185, 1, 0, 0, 0, 185,
186, 6, 22, 0, 0, 186, 46, 1, 0, 0, 0, 187, 188, 7, 15, 0, 0, 188, 48,
1, 0, 0, 0, 20, 0, 58, 106, 111, 116, 122, 125, 129, 134, 136, 139, 145,
149, 154, 156, 158, 164, 172, 177, 183, 1, 6, 0, 0,
}
deserializer := antlr.NewATNDeserializer(nil)
staticData.atn = deserializer.Deserialize(staticData.serializedATN)
atn := staticData.atn
staticData.decisionToDFA = make([]*antlr.DFA, len(atn.DecisionToState))
decisionToDFA := staticData.decisionToDFA
for index, state := range atn.DecisionToState {
decisionToDFA[index] = antlr.NewDFA(state, index)
}
}
// HavingExpressionLexerInit initializes any static state used to implement HavingExpressionLexer. By default the
// static state used to implement the lexer is lazily initialized during the first call to
// NewHavingExpressionLexer(). You can call this function if you wish to initialize the static state ahead
// of time.
func HavingExpressionLexerInit() {
staticData := &HavingExpressionLexerLexerStaticData
staticData.once.Do(havingexpressionlexerLexerInit)
}
// NewHavingExpressionLexer produces a new lexer instance for the optional input antlr.CharStream.
func NewHavingExpressionLexer(input antlr.CharStream) *HavingExpressionLexer {
HavingExpressionLexerInit()
l := new(HavingExpressionLexer)
l.BaseLexer = antlr.NewBaseLexer(input)
staticData := &HavingExpressionLexerLexerStaticData
l.Interpreter = antlr.NewLexerATNSimulator(l, staticData.atn, staticData.decisionToDFA, staticData.PredictionContextCache)
l.channelNames = staticData.ChannelNames
l.modeNames = staticData.ModeNames
l.RuleNames = staticData.RuleNames
l.LiteralNames = staticData.LiteralNames
l.SymbolicNames = staticData.SymbolicNames
l.GrammarFileName = "HavingExpression.g4"
// TODO: l.EOF = antlr.TokenEOF
return l
}
// HavingExpressionLexer tokens.
const (
HavingExpressionLexerLPAREN = 1
HavingExpressionLexerRPAREN = 2
HavingExpressionLexerCOMMA = 3
HavingExpressionLexerEQUALS = 4
HavingExpressionLexerNOT_EQUALS = 5
HavingExpressionLexerNEQ = 6
HavingExpressionLexerLT = 7
HavingExpressionLexerLE = 8
HavingExpressionLexerGT = 9
HavingExpressionLexerGE = 10
HavingExpressionLexerPLUS = 11
HavingExpressionLexerMINUS = 12
HavingExpressionLexerSTAR = 13
HavingExpressionLexerSLASH = 14
HavingExpressionLexerPERCENT = 15
HavingExpressionLexerNOT = 16
HavingExpressionLexerAND = 17
HavingExpressionLexerOR = 18
HavingExpressionLexerBOOL = 19
HavingExpressionLexerNUMBER = 20
HavingExpressionLexerIDENTIFIER = 21
HavingExpressionLexerWS = 22
)

View File

@@ -1,100 +0,0 @@
// Code generated from grammar/HavingExpression.g4 by ANTLR 4.13.2. DO NOT EDIT.
package parser // HavingExpression
import "github.com/antlr4-go/antlr/v4"
// HavingExpressionListener is a complete listener for a parse tree produced by HavingExpressionParser.
type HavingExpressionListener interface {
antlr.ParseTreeListener
// EnterQuery is called when entering the query production.
EnterQuery(c *QueryContext)
// EnterExpression is called when entering the expression production.
EnterExpression(c *ExpressionContext)
// EnterOrExpression is called when entering the orExpression production.
EnterOrExpression(c *OrExpressionContext)
// EnterAndExpression is called when entering the andExpression production.
EnterAndExpression(c *AndExpressionContext)
// EnterPrimary is called when entering the primary production.
EnterPrimary(c *PrimaryContext)
// EnterComparison is called when entering the comparison production.
EnterComparison(c *ComparisonContext)
// EnterCompOp is called when entering the compOp production.
EnterCompOp(c *CompOpContext)
// EnterOperand is called when entering the operand production.
EnterOperand(c *OperandContext)
// EnterTerm is called when entering the term production.
EnterTerm(c *TermContext)
// EnterFactor is called when entering the factor production.
EnterFactor(c *FactorContext)
// EnterAtom is called when entering the atom production.
EnterAtom(c *AtomContext)
// EnterFunctionCall is called when entering the functionCall production.
EnterFunctionCall(c *FunctionCallContext)
// EnterFunctionArgs is called when entering the functionArgs production.
EnterFunctionArgs(c *FunctionArgsContext)
// EnterFunctionArg is called when entering the functionArg production.
EnterFunctionArg(c *FunctionArgContext)
// EnterIdentifier is called when entering the identifier production.
EnterIdentifier(c *IdentifierContext)
// ExitQuery is called when exiting the query production.
ExitQuery(c *QueryContext)
// ExitExpression is called when exiting the expression production.
ExitExpression(c *ExpressionContext)
// ExitOrExpression is called when exiting the orExpression production.
ExitOrExpression(c *OrExpressionContext)
// ExitAndExpression is called when exiting the andExpression production.
ExitAndExpression(c *AndExpressionContext)
// ExitPrimary is called when exiting the primary production.
ExitPrimary(c *PrimaryContext)
// ExitComparison is called when exiting the comparison production.
ExitComparison(c *ComparisonContext)
// ExitCompOp is called when exiting the compOp production.
ExitCompOp(c *CompOpContext)
// ExitOperand is called when exiting the operand production.
ExitOperand(c *OperandContext)
// ExitTerm is called when exiting the term production.
ExitTerm(c *TermContext)
// ExitFactor is called when exiting the factor production.
ExitFactor(c *FactorContext)
// ExitAtom is called when exiting the atom production.
ExitAtom(c *AtomContext)
// ExitFunctionCall is called when exiting the functionCall production.
ExitFunctionCall(c *FunctionCallContext)
// ExitFunctionArgs is called when exiting the functionArgs production.
ExitFunctionArgs(c *FunctionArgsContext)
// ExitFunctionArg is called when exiting the functionArg production.
ExitFunctionArg(c *FunctionArgContext)
// ExitIdentifier is called when exiting the identifier production.
ExitIdentifier(c *IdentifierContext)
}

File diff suppressed because it is too large Load Diff

View File

@@ -1,55 +0,0 @@
// Code generated from grammar/HavingExpression.g4 by ANTLR 4.13.2. DO NOT EDIT.
package parser // HavingExpression
import "github.com/antlr4-go/antlr/v4"
// A complete Visitor for a parse tree produced by HavingExpressionParser.
type HavingExpressionVisitor interface {
antlr.ParseTreeVisitor
// Visit a parse tree produced by HavingExpressionParser#query.
VisitQuery(ctx *QueryContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#expression.
VisitExpression(ctx *ExpressionContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#orExpression.
VisitOrExpression(ctx *OrExpressionContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#andExpression.
VisitAndExpression(ctx *AndExpressionContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#primary.
VisitPrimary(ctx *PrimaryContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#comparison.
VisitComparison(ctx *ComparisonContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#compOp.
VisitCompOp(ctx *CompOpContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#operand.
VisitOperand(ctx *OperandContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#term.
VisitTerm(ctx *TermContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#factor.
VisitFactor(ctx *FactorContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#atom.
VisitAtom(ctx *AtomContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#functionCall.
VisitFunctionCall(ctx *FunctionCallContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#functionArgs.
VisitFunctionArgs(ctx *FunctionArgsContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#functionArg.
VisitFunctionArg(ctx *FunctionArgContext) interface{}
// Visit a parse tree produced by HavingExpressionParser#identifier.
VisitIdentifier(ctx *IdentifierContext) interface{}
}

View File

@@ -80,16 +80,11 @@ func (q *builderQuery[T]) Fingerprint() string {
case qbtypes.LogAggregation:
aggParts = append(aggParts, a.Expression)
case qbtypes.MetricAggregation:
var spaceAggParamStr string
if a.ComparisonSpaceAggregationParam != nil {
spaceAggParamStr = a.ComparisonSpaceAggregationParam.StringValue()
}
aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s:%s",
aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s",
a.MetricName,
a.Temporality.StringValue(),
a.TimeAggregation.StringValue(),
a.SpaceAggregation.StringValue(),
spaceAggParamStr,
))
}
}

View File

@@ -276,17 +276,15 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
// Fetch temporality for all metrics at once
var metricTemporality map[string]metrictypes.Temporality
var metricTypes map[string]metrictypes.Type
if len(metricNames) > 0 {
var err error
metricTemporality, metricTypes, err = q.metadataStore.FetchTemporalityAndTypeMulti(ctx, req.Start, req.End, metricNames...)
metricTemporality, err = q.metadataStore.FetchTemporalityMulti(ctx, req.Start, req.End, metricNames...)
if err != nil {
q.logger.WarnContext(ctx, "failed to fetch metric temporality", "error", err, "metrics", metricNames)
// Continue without temporality - statement builder will handle unspecified
metricTemporality = make(map[string]metrictypes.Temporality)
metricTypes = make(map[string]metrictypes.Type)
}
q.logger.DebugContext(ctx, "fetched metric temporalities and types", "metric_temporality", metricTemporality, "metric_types", metricTypes)
q.logger.DebugContext(ctx, "fetched metric temporalities", "metric_temporality", metricTemporality)
}
queries := make(map[string]qbtypes.Query)
@@ -382,12 +380,6 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
if spec.Aggregations[i].Temporality == metrictypes.Unknown {
spec.Aggregations[i].Temporality = metrictypes.Unspecified
}
if spec.Aggregations[i].MetricName != "" && spec.Aggregations[i].Type == metrictypes.UnspecifiedType {
if foundMetricType, ok := metricTypes[spec.Aggregations[i].MetricName]; ok && foundMetricType != metrictypes.UnspecifiedType {
spec.Aggregations[i].Type = foundMetricType
}
}
}
spec.ShiftBy = extractShiftFromBuilderQuery(spec)
timeRange := adjustTimeRangeForShift(spec, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType)

View File

@@ -88,8 +88,6 @@ func (e *SyntaxErr) Error() string {
exp := ""
if len(e.Expected) > 0 {
exp = "expecting one of {" + strings.Join(e.Expected, ", ") + "}" + " but got " + e.TokenTxt
} else if e.Msg != "" {
exp = e.Msg
}
return fmt.Sprintf("line %d:%d %s", e.Line, e.Col, exp)
}

View File

@@ -1,277 +0,0 @@
package querybuilder
import (
"sort"
"strings"
"github.com/SigNoz/signoz/pkg/errors"
grammar "github.com/SigNoz/signoz/pkg/parser/havingexpression/grammar"
"github.com/SigNoz/signoz/pkg/valuer"
"github.com/antlr4-go/antlr/v4"
)
// havingExpressionSemanticValidator walks a rewritten HavingExpression parse tree and
// validates that every remaining identifier or function-call token is a known SQL column name.
//
// By the time this validator runs, rewriteExpression has already replaced all valid
// user-facing references (aliases, expression strings, __result_N, etc.) with their
// corresponding SQL column names (e.g. __result_0, value). Any identifier or function
// call that survived the rewrite was not in the column map and is therefore invalid.
//
// Validation strategy:
// - IdentifierContext nodes are checked against validColumns (the SQL column name set).
// - FunctionCallContext nodes are checked as a unit: if the full call text is not a
// known SQL column name, the function name is reported as invalid.
// - FunctionArg children are not visited individually — they are part of a function
// call unit and are only reported when the whole call is rejected.
type havingExpressionSemanticValidator struct {
validColumns map[string]bool // SQL column names (the TO side of columnMap)
invalid []string // tokens not recognised as valid SQL columns
seen map[string]bool // deduplication
}
func newHavingExpressionSemanticValidator(validColumns map[string]bool) *havingExpressionSemanticValidator {
return &havingExpressionSemanticValidator{
validColumns: validColumns,
seen: make(map[string]bool),
}
}
// Visit dispatches on parse-tree node type. Unrecognised nodes recurse into their children.
func (v *havingExpressionSemanticValidator) Visit(tree antlr.ParseTree) {
switch t := tree.(type) {
case *grammar.FunctionCallContext:
// Validate as a single unit; do NOT recurse further so that function-arg
// IDENTIFIERs are not checked individually.
v.visitFunctionCall(t)
case *grammar.IdentifierContext:
v.visitIdentifier(t)
default:
for i := 0; i < tree.GetChildCount(); i++ {
if child, ok := tree.GetChild(i).(antlr.ParseTree); ok {
v.Visit(child)
}
}
}
}
// visitFunctionCall checks whether a function call is a known reference. After rewriting,
// all valid function-call references (e.g. "sum(bytes)") have been replaced with SQL
// column names, so any function call seen here was not in the column map. The function
// name is reported as invalid.
func (v *havingExpressionSemanticValidator) visitFunctionCall(ctx *grammar.FunctionCallContext) {
if v.validColumns[ctx.GetText()] {
return
}
funcName := ctx.IDENTIFIER().GetText()
if !v.seen[funcName] {
v.invalid = append(v.invalid, funcName)
v.seen[funcName] = true
}
}
// visitIdentifier checks that a bare identifier is a known SQL column name.
// After rewriting, valid references have been replaced (e.g. alias → __result_0),
// so any identifier not in validColumns was not a recognised reference.
func (v *havingExpressionSemanticValidator) visitIdentifier(ctx *grammar.IdentifierContext) {
name := ctx.IDENTIFIER().GetText()
if v.validColumns[name] {
return
}
if !v.seen[name] {
v.invalid = append(v.invalid, name)
v.seen[name] = true
}
}
// normalizeImplicitAND parses expression with ANTLR and reconstructs it with explicit AND
// inserted between any adjacent primaries that had no connector (implicit AND).
// If parsing fails, the original expression is returned unchanged.
func normalizeImplicitAND(expression string) string {
input := antlr.NewInputStream(expression)
lexer := grammar.NewHavingExpressionLexer(input)
errListener := NewErrorListener()
lexer.RemoveErrorListeners()
lexer.AddErrorListener(errListener)
tokens := antlr.NewCommonTokenStream(lexer, antlr.TokenDefaultChannel)
p := grammar.NewHavingExpressionParser(tokens)
p.RemoveErrorListeners()
p.AddErrorListener(errListener)
tree := p.Query()
if len(errListener.SyntaxErrors) > 0 || tree.Expression() == nil {
return expression
}
return normalizeExpression(expression, tree.Expression())
}
func normalizeExpression(original string, ctx grammar.IExpressionContext) string {
return normalizeOrExpression(original, ctx.OrExpression())
}
func normalizeOrExpression(original string, ctx grammar.IOrExpressionContext) string {
andExprs := ctx.AllAndExpression()
parts := make([]string, len(andExprs))
for i, ae := range andExprs {
parts[i] = normalizeAndExpression(original, ae)
}
return strings.Join(parts, " OR ")
}
func normalizeAndExpression(original string, ctx grammar.IAndExpressionContext) string {
primaries := ctx.AllPrimary()
parts := make([]string, len(primaries))
for i, p := range primaries {
parts[i] = normalizePrimary(original, p)
}
return strings.Join(parts, " AND ")
}
func normalizePrimary(original string, ctx grammar.IPrimaryContext) string {
if ctx.OrExpression() != nil {
inner := normalizeOrExpression(original, ctx.OrExpression())
if ctx.NOT() != nil {
return "NOT (" + inner + ")"
}
return "(" + inner + ")"
}
// Plain comparison: extract original text verbatim
start := ctx.GetStart().GetStart()
stop := ctx.GetStop().GetStop()
return original[start : stop+1]
}
// syntaxErrorMessages parses expression with ANTLR and returns any syntax error strings.
func syntaxErrorMessages(expression string) []string {
input := antlr.NewInputStream(expression)
lexer := grammar.NewHavingExpressionLexer(input)
lexerErr := NewErrorListener()
lexer.RemoveErrorListeners()
lexer.AddErrorListener(lexerErr)
tokens := antlr.NewCommonTokenStream(lexer, antlr.TokenDefaultChannel)
p := grammar.NewHavingExpressionParser(tokens)
parserErr := NewErrorListener()
p.RemoveErrorListeners()
p.AddErrorListener(parserErr)
p.Query()
all := append(lexerErr.SyntaxErrors, parserErr.SyntaxErrors...)
msgs := make([]string, 0, len(all))
for _, se := range all {
if m := se.Error(); m != "" {
msgs = append(msgs, m)
}
}
return msgs
}
// validateWithANTLR validates the `Having` expression after rewriting.
//
// original is the user-supplied expression before rewriting; rewritten is the result of
// rewriteExpression. Both are required so that syntax error messages can reference the
// original token names (e.g. "count()" or "total") instead of the rewritten SQL column
// names (e.g. "__result_0").
//
// Validation layers:
// 1. Quoted string literals are detected in the original expression → descriptive error.
// 2. ANTLR syntax errors on the rewritten expression → the original expression is
// re-parsed to produce error messages that reference user-facing token names.
// 3. Semantic errors (unknown identifiers / function calls in the rewritten tree) →
// lists the offending tokens; valid references from the column map are shown.
func (r *HavingExpressionRewriter) validateWithANTLR(original, rewritten string) error {
// Layer 1 Reject quoted string literals before parsing.
// `Having` expressions compare numeric aggregate results; string literals are not valid.
for _, ch := range original {
if ch == '\'' || ch == '"' {
return errors.NewInvalidInputf(
errors.CodeInvalidInput,
"`Having` expression contains string literals",
).WithAdditional("Aggregator results are numeric")
}
}
// Parse the rewritten expression (authoritative for semantic validation).
input := antlr.NewInputStream(rewritten)
lexer := grammar.NewHavingExpressionLexer(input)
lexerErrListener := NewErrorListener()
lexer.RemoveErrorListeners()
lexer.AddErrorListener(lexerErrListener)
tokens := antlr.NewCommonTokenStream(lexer, antlr.TokenDefaultChannel)
p := grammar.NewHavingExpressionParser(tokens)
parserErrListener := NewErrorListener()
p.RemoveErrorListeners()
p.AddErrorListener(parserErrListener)
tree := p.Query()
// Layer 2 ANTLR syntax errors.
// If the rewritten expression has syntax errors, re-parse the original so that the
// error messages reference the user's own token names rather than "__result_0" etc.
allSyntaxErrors := append(lexerErrListener.SyntaxErrors, parserErrListener.SyntaxErrors...)
if len(allSyntaxErrors) > 0 {
msgs := syntaxErrorMessages(original)
if len(msgs) == 0 {
// Fallback: use messages from the rewritten expression.
for _, se := range allSyntaxErrors {
if m := se.Error(); m != "" {
msgs = append(msgs, m)
}
}
}
detail := strings.Join(msgs, "; ")
if detail == "" {
detail = "check the expression syntax"
}
return errors.NewInvalidInputf(
errors.CodeInvalidInput,
"Syntax error in `Having` expression",
).WithAdditional(detail)
}
// Layer 3 Semantic validation: every remaining identifier must be a known
// SQL column name. Build validColumns from the TO side of columnMap.
validColumns := make(map[string]bool, len(r.columnMap))
for _, col := range r.columnMap {
validColumns[col] = true
}
sv := newHavingExpressionSemanticValidator(validColumns)
sv.Visit(tree)
if len(sv.invalid) > 0 {
sort.Strings(sv.invalid)
hasAggFunc := false
for _, ref := range sv.invalid {
if _, isAgg := AggreFuncMap[valuer.NewString(ref)]; isAgg {
hasAggFunc = true
break
}
}
if hasAggFunc {
// At least one invalid ref is an aggregation function — use tailored message
return errors.NewInvalidInputf(
errors.CodeInvalidInput,
"Functions are not allowed in `Having` expression",
)
}
validKeys := make([]string, 0, len(r.columnMap))
for k := range r.columnMap {
validKeys = append(validKeys, k)
}
sort.Strings(validKeys)
return errors.NewInvalidInputf(
errors.CodeInvalidInput,
"Invalid references in `Having` expression: [%s]",
strings.Join(sv.invalid, ", "),
).WithAdditional("Valid references are: [" + strings.Join(validKeys, ", ") + "]")
}
return nil
}

View File

@@ -3,7 +3,6 @@ package querybuilder
import (
"fmt"
"regexp"
"slices"
"strings"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
@@ -20,40 +19,19 @@ func NewHavingExpressionRewriter() *HavingExpressionRewriter {
}
}
func (r *HavingExpressionRewriter) RewriteForTraces(expression string, aggregations []qbtypes.TraceAggregation) (string, error) {
if len(strings.TrimSpace(expression)) == 0 {
return "", nil
}
func (r *HavingExpressionRewriter) RewriteForTraces(expression string, aggregations []qbtypes.TraceAggregation) string {
r.buildTraceColumnMap(aggregations)
rewritten := r.rewriteExpression(expression)
if err := r.validateWithANTLR(expression, rewritten); err != nil {
return "", err
}
return rewritten, nil
return r.rewriteExpression(expression)
}
func (r *HavingExpressionRewriter) RewriteForLogs(expression string, aggregations []qbtypes.LogAggregation) (string, error) {
if len(strings.TrimSpace(expression)) == 0 {
return "", nil
}
func (r *HavingExpressionRewriter) RewriteForLogs(expression string, aggregations []qbtypes.LogAggregation) string {
r.buildLogColumnMap(aggregations)
rewritten := r.rewriteExpression(expression)
if err := r.validateWithANTLR(expression, rewritten); err != nil {
return "", err
}
return rewritten, nil
return r.rewriteExpression(expression)
}
func (r *HavingExpressionRewriter) RewriteForMetrics(expression string, aggregations []qbtypes.MetricAggregation) (string, error) {
if len(strings.TrimSpace(expression)) == 0 {
return "", nil
}
func (r *HavingExpressionRewriter) RewriteForMetrics(expression string, aggregations []qbtypes.MetricAggregation) string {
r.buildMetricColumnMap(aggregations)
rewritten := r.rewriteExpression(expression)
if err := r.validateWithANTLR(expression, rewritten); err != nil {
return "", err
}
return rewritten, nil
return r.rewriteExpression(expression)
}
func (r *HavingExpressionRewriter) buildTraceColumnMap(aggregations []qbtypes.TraceAggregation) {
@@ -126,8 +104,6 @@ func (r *HavingExpressionRewriter) buildMetricColumnMap(aggregations []qbtypes.M
}
func (r *HavingExpressionRewriter) rewriteExpression(expression string) string {
expression = normalizeImplicitAND(expression)
quotedStrings := make(map[string]string)
quotePattern := regexp.MustCompile(`'[^']*'|"[^"]*"`)
quotedIdx := 0
@@ -149,9 +125,13 @@ func (r *HavingExpressionRewriter) rewriteExpression(expression string) string {
mappings = append(mappings, mapping{from: from, to: to})
}
slices.SortFunc(mappings, func(a, b mapping) int {
return len(b.from) - len(a.from)
})
for i := 0; i < len(mappings); i++ {
for j := i + 1; j < len(mappings); j++ {
if len(mappings[j].from) > len(mappings[i].from) {
mappings[i], mappings[j] = mappings[j], mappings[i]
}
}
}
for _, m := range mappings {
if strings.Contains(m.from, "(") {

View File

@@ -1,733 +0,0 @@
package querybuilder
import (
"testing"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/types/metrictypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func toTraceAggregations(logs []qbtypes.LogAggregation) []qbtypes.TraceAggregation {
out := make([]qbtypes.TraceAggregation, len(logs))
for i, l := range logs {
out[i] = qbtypes.TraceAggregation{Expression: l.Expression, Alias: l.Alias}
}
return out
}
func TestRewriteForLogsAndTraces(t *testing.T) {
tests := []struct {
name string
expression string
aggregations []qbtypes.LogAggregation
wantExpression string
wantErr bool
wantErrMsg string
wantAdditional []string
}{
// --- Happy path: reference types (alias, expression, __result variants) ---
{
name: "alias reference",
expression: "total_logs > 1000",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantExpression: "__result_0 > 1000",
},
{
name: "expression reference",
expression: "sum(bytes) > 1024000",
aggregations: []qbtypes.LogAggregation{
{Expression: "sum(bytes)"},
},
wantExpression: "__result_0 > 1024000",
},
{
name: "__result reference for single aggregation",
expression: "__result > 500",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantExpression: "__result_0 > 500",
},
{
name: "__result0 indexed reference",
expression: "__result0 > 100 AND __result1 < 1000",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
{Expression: "sum(bytes)"},
},
wantExpression: "__result_0 > 100 AND __result_1 < 1000",
},
{
name: "__result_0 underscore indexed reference",
expression: "__result_0 > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantExpression: "__result_0 > 100",
},
// --- Happy path: boolean logic (AND, OR, NOT, parentheses, implicit AND) ---
{
name: "two comparisons without boolean connector",
expression: "total > 100 count() < 500",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantExpression: "__result_0 > 100 AND __result_0 < 500",
},
{
name: "complex boolean with parentheses",
expression: "(total > 100 AND avg_duration < 500) OR total > 10000",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
{Expression: "avg(duration)", Alias: "avg_duration"},
},
wantExpression: "(__result_0 > 100 AND __result_1 < 500) OR __result_0 > 10000",
},
{
name: "mixed alias and expression reference",
expression: "error_count > 10 AND count() < 1000",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
{Expression: "countIf(level='error')", Alias: "error_count"},
},
wantExpression: "__result_1 > 10 AND __result_0 < 1000",
},
{
name: "NOT on grouped expression",
expression: "NOT (__result_0 > 100 AND __result_1 < 500)",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
{Expression: "sum(bytes)"},
},
wantExpression: "NOT (__result_0 > 100 AND __result_1 < 500)",
},
// --- Happy path: arithmetic operators (+, -, *, /, %) ---
{
name: "arithmetic on aggregations",
expression: "sum_a + sum_b > 1000",
aggregations: []qbtypes.LogAggregation{
{Expression: "sum(a)", Alias: "sum_a"},
{Expression: "sum(b)", Alias: "sum_b"},
},
wantExpression: "__result_0 + __result_1 > 1000",
},
// --- Happy path: comparison operators (=, ==, !=, <>, <, <=, >, >=) ---
{
name: "comparison operators != <> ==",
expression: "total != 0 AND count() <> 0 AND total == 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantExpression: "__result_0 != 0 AND __result_0 <> 0 AND __result_0 == 100",
},
{
name: "comparison operators < <= > >=",
expression: "total < 100 AND total <= 500 AND total > 10 AND total >= 50",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantExpression: "__result_0 < 100 AND __result_0 <= 500 AND __result_0 > 10 AND __result_0 >= 50",
},
// --- Happy path: numeric literals (negative, float, scientific notation) ---
{
name: "numeric literals",
expression: "total > -10 AND total > 500.5 AND total > 1e6",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantExpression: "__result_0 > -10 AND __result_0 > 500.5 AND __result_0 > 1e6",
},
{
name: "arithmetic modulo subtraction division multiplication",
expression: "cnt % 10 = 0 AND cnt - 10 > 0 AND errors / total > 0.05 AND cnt * 2 > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "cnt"},
{Expression: "sum(errors)", Alias: "errors"},
{Expression: "count()", Alias: "total"},
},
wantExpression: "__result_0 % 10 = 0 AND __result_0 - 10 > 0 AND __result_1 / __result_2 > 0.05 AND __result_0 * 2 > 100",
},
// --- Happy path: OR with multiple operands ---
{
name: "OR with three operands",
expression: "a > 1 OR b > 2 OR c > 3",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "a"},
{Expression: "count()", Alias: "b"},
{Expression: "count()", Alias: "c"},
},
wantExpression: "__result_0 > 1 OR __result_1 > 2 OR __result_2 > 3",
},
{
name: "NOT with single comparison",
expression: "NOT (total > 100)",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantExpression: "NOT (__result_0 > 100)",
},
{
name: "nested parentheses with OR and AND",
expression: "(a > 10 OR b > 20) AND c > 5",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "a"},
{Expression: "count()", Alias: "b"},
{Expression: "count()", Alias: "c"},
},
wantExpression: "(__result_0 > 10 OR __result_1 > 20) AND __result_2 > 5",
},
// --- Happy path: comparison between two aggregation references ---
{
name: "comparison between aggregations",
expression: "error_count > warn_count AND errors = warnings",
aggregations: []qbtypes.LogAggregation{
{Expression: "sum(errors)", Alias: "error_count"},
{Expression: "sum(warnings)", Alias: "warn_count"},
{Expression: "sum(errors)", Alias: "errors"},
{Expression: "sum(warnings)", Alias: "warnings"},
},
wantExpression: "__result_0 > __result_1 AND __result_2 = __result_3",
},
// --- Happy path: edge case (reserved keyword used as alias) ---
{
name: "reserved keyword as alias",
expression: "sum > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "sum"},
},
wantExpression: "__result_0 > 100",
},
// --- Happy path: empty or whitespace-only expression ---
{
name: "empty expression",
expression: "",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantExpression: "",
},
{
name: "whitespace only expression",
expression: " ",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantExpression: "",
},
// --- Error: bare operand / missing comparison operator ---
{
name: "bare expression (function call)",
expression: "count()",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:7 expecting one of {!=, '+', <, <=, <>, =, >, >=} but got EOF"},
},
{
name: "bare operand without comparison",
expression: "total_logs",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:10 expecting one of {!=, '+', <, <=, <>, =, >, >=} but got EOF"},
},
// --- Error: parentheses mismatch (unclosed, unexpected, empty) ---
{
name: "unclosed parenthesis",
expression: "(total_logs > 100 AND count() < 500",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:35 expecting one of {), ,} but got EOF"},
},
{
name: "unexpected closing parenthesis",
expression: "total_logs > 100)",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:16 extraneous input ')' expecting <EOF>"},
},
{
name: "dangling AND at end",
expression: "total_logs > 100 AND",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:20 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got EOF"},
},
{
name: "dangling OR at start",
expression: "OR total_logs > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:0 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got 'OR'"},
},
// --- Error: dangling or malformed boolean operators (AND, OR) ---
{
name: "consecutive boolean operators",
expression: "total_logs > 100 AND AND count() < 500",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:21 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got 'AND'"},
},
// --- Error: invalid operand types (string literals, boolean literal) ---
{
name: "string literal as comparison value",
expression: "sum(bytes) = 'xyz'",
aggregations: []qbtypes.LogAggregation{
{Expression: "sum(bytes)"},
},
wantErr: true,
wantErrMsg: "`Having` expression contains string literals",
wantAdditional: []string{"Aggregator results are numeric"},
},
{
name: "string literal without quotes as comparison value",
expression: "sum(bytes) = xyz",
aggregations: []qbtypes.LogAggregation{
{Expression: "sum(bytes)"},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [xyz]",
wantAdditional: []string{"Valid references are: [__result, __result0, sum(bytes)]"},
},
{
name: "double-quoted string literal",
expression: `total > "threshold"`,
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantErr: true,
wantErrMsg: "`Having` expression contains string literals",
wantAdditional: []string{"Aggregator results are numeric"},
},
// --- Error: invalid or unknown references ---
{
name: "unknown identifier",
expression: "unknown_alias > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [unknown_alias]",
wantAdditional: []string{"Valid references are: [__result, __result0, count(), total]"},
},
{
name: "expression not in column map",
expression: "sum(missing_field) > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Functions are not allowed in `Having` expression",
},
{
name: "one valid one invalid reference",
expression: "total > 100 AND ghost > 50",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [ghost]",
wantAdditional: []string{"Valid references are: [__result, __result0, count(), total]"},
},
{
name: "__result ambiguous with multiple aggregations",
expression: "__result > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
{Expression: "sum(bytes)"},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [__result]",
wantAdditional: []string{"Valid references are: [__result0, __result1, count(), sum(bytes)]"},
},
// --- Error: NOT syntax (must wrap comparison in parentheses) ---
{
name: "NOT without parentheses",
expression: "NOT count() > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:4 expecting one of {(, )} but got 'count'; line 1:10 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got ')'; line 1:12 mismatched input '>' expecting <EOF>"},
},
{
name: "out-of-range __result_N index",
expression: "__result_9 > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [__result_9]",
wantAdditional: []string{"Valid references are: [__result, __result0, count()]"},
},
// --- Error: boolean literal as comparison value ---
{
name: "boolean literal as comparison value",
expression: "count() > true",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:10 expecting one of {(, ), IDENTIFIER, number} but got 'true'"},
},
{
name: "double NOT without valid grouping",
expression: "NOT NOT (count() > 100)",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:4 expecting one of {(, )} but got 'NOT'"},
},
// --- Error: invalid function calls (cascaded, wrong args) ---
{
name: "cascaded function calls",
expression: "sum(count()) > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Functions are not allowed in `Having` expression",
},
// --- Error: standalone parentheses ---
{
name: "only opening parenthesis",
expression: "(",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:1 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got EOF"},
},
{
name: "only closing parenthesis",
expression: ")",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:0 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got ')'"},
},
{
name: "empty parentheses",
expression: "()",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:1 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got ')'"},
},
// --- Error: missing comparison operands or operator ---
{
name: "missing left operand",
expression: "> 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:0 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got '>'; line 1:5 expecting one of {!=, '+', <, <=, <>, =, >, >=} but got EOF"},
},
{
name: "missing right operand",
expression: "count() >",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:9 expecting one of {(, ), IDENTIFIER, number} but got EOF"},
},
{
name: "missing operator",
expression: "count() 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:8 expecting one of {!=, '+', <, <=, <>, =, >, >=} but got '100'"},
},
{
name: "dangling OR at end",
expression: "total > 100 OR",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:14 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got EOF"},
},
{
name: "AND OR without second operand",
expression: "total > 100 AND OR count() < 50",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:16 expecting one of {(, ), AND, IDENTIFIER, NOT, number} but got 'OR'"},
},
{
name: "NOT without parentheses on alias",
expression: "NOT total > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total"},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:4 expecting one of {(, )} but got 'total'; line 1:15 expecting one of {), ,} but got EOF"},
},
// --- Error: invalid function call (not in column map) ---
{
name: "function call with multiple args not in column map",
expression: "sum(a, b) > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "sum(a)"},
},
wantErr: true,
wantErrMsg: "Functions are not allowed in `Having` expression",
},
// --- Error: out-of-range __result index ---
{
name: "__result_1 out of range for single aggregation",
expression: "__result_1 > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()"},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [__result_1]",
wantAdditional: []string{"Valid references are: [__result, __result0, count()]"},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
r := NewHavingExpressionRewriter()
traceAggs := toTraceAggregations(tt.aggregations)
gotLogs, errLogs := r.RewriteForLogs(tt.expression, tt.aggregations)
r2 := NewHavingExpressionRewriter()
gotTraces, errTraces := r2.RewriteForTraces(tt.expression, traceAggs)
if tt.wantErr {
require.Error(t, errLogs)
assert.ErrorContains(t, errLogs, tt.wantErrMsg)
_, _, _, _, _, additionalLogs := errors.Unwrapb(errLogs)
assert.Equal(t, tt.wantAdditional, additionalLogs)
require.Error(t, errTraces)
assert.ErrorContains(t, errTraces, tt.wantErrMsg)
_, _, _, _, _, additionalTraces := errors.Unwrapb(errTraces)
assert.Equal(t, tt.wantAdditional, additionalTraces)
} else {
require.NoError(t, errLogs)
assert.Equal(t, tt.wantExpression, gotLogs)
require.NoError(t, errTraces)
assert.Equal(t, tt.wantExpression, gotTraces)
}
})
}
}
func TestRewriteForMetrics(t *testing.T) {
tests := []struct {
name string
expression string
aggregations []qbtypes.MetricAggregation
wantExpression string
wantErr bool
wantErrMsg string
wantAdditional []string
}{
// --- Happy path: reference types (time/space aggregation, __result, bare metric) ---
{
name: "time aggregation reference",
expression: "sum(cpu_usage) > 80",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantExpression: "value > 80",
},
{
name: "space aggregation reference",
expression: "avg(cpu_usage) > 50",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
SpaceAggregation: metrictypes.SpaceAggregationAvg,
TimeAggregation: metrictypes.TimeAggregationUnspecified,
},
},
wantExpression: "value > 50",
},
{
name: "__result reference",
expression: "__result > 90",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantExpression: "value > 90",
},
{
name: "bare metric name when no aggregations set",
expression: "cpu_usage > 80",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationUnspecified,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantExpression: "value > 80",
},
{
name: "combined space and time aggregation",
expression: "avg(sum(cpu_usage)) > 50",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationAvg,
},
},
wantExpression: "value > 50",
},
// --- Happy path: comparison operators and arithmetic ---
{
name: "comparison operators and arithmetic",
expression: "sum(cpu_usage) < 100 AND sum(cpu_usage) * 2 > 50",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantExpression: "value < 100 AND value * 2 > 50",
},
// --- Happy path: empty or bare operand ---
{
name: "empty expression",
expression: "",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantExpression: "",
},
// --- Error: invalid or unknown metric reference ---
{
name: "unknown metric reference",
expression: "wrong_metric > 80",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantErr: true,
wantErrMsg: "Invalid references in `Having` expression: [wrong_metric]",
wantAdditional: []string{"Valid references are: [__result, __result0, sum(cpu_usage)]"},
},
// --- Error: string literal (not allowed in HAVING) ---
{
name: "string literal rejected",
expression: "cpu_usage = 'high'",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantErr: true,
wantErrMsg: "`Having` expression contains string literals",
wantAdditional: []string{"Aggregator results are numeric"},
},
// --- Error: bare operand (no comparison) ---
{
name: "bare operand without comparison",
expression: "cpu_usage",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantErr: true,
wantErrMsg: "Syntax error in `Having` expression",
wantAdditional: []string{"line 1:9 expecting one of {!=, '+', <, <=, <>, =, >, >=} but got EOF"},
},
// --- Error: aggregation not in column map ---
{
name: "aggregation not in column map",
expression: "count(cpu_usage) > 10",
aggregations: []qbtypes.MetricAggregation{
{
MetricName: "cpu_usage",
TimeAggregation: metrictypes.TimeAggregationSum,
SpaceAggregation: metrictypes.SpaceAggregationUnspecified,
},
},
wantErr: true,
wantErrMsg: "Functions are not allowed in `Having` expression",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
r := NewHavingExpressionRewriter()
got, err := r.RewriteForMetrics(tt.expression, tt.aggregations)
if tt.wantErr {
require.Error(t, err)
assert.ErrorContains(t, err, tt.wantErrMsg)
_, _, _, _, _, additional := errors.Unwrapb(err)
assert.Equal(t, tt.wantAdditional, additional)
} else {
require.NoError(t, err)
assert.Equal(t, tt.wantExpression, got)
}
})
}
}

View File

@@ -6,7 +6,7 @@ import (
"strings"
"github.com/SigNoz/signoz/pkg/errors"
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/antlr4-go/antlr/v4"
)

View File

@@ -1,7 +1,7 @@
package querybuilder
import (
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/antlr4-go/antlr/v4"
)

View File

@@ -8,7 +8,7 @@ import (
"strings"
"github.com/SigNoz/signoz/pkg/errors"
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/antlr4-go/antlr/v4"

View File

@@ -5,7 +5,7 @@ import (
"strings"
"testing"
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/antlr4-go/antlr/v4"
@@ -467,7 +467,7 @@ func TestVisitKey(t *testing.T) {
expectedWarnings: nil,
expectedMainWrnURL: "",
},
{
{
name: "only attribute.custom_field is selected",
keyText: "attribute.attribute.custom_field",
fieldKeys: map[string][]*telemetrytypes.TelemetryFieldKey{

View File

@@ -412,10 +412,7 @@ func (b *logQueryStatementBuilder) buildTimeSeriesQuery(
if query.Having != nil && query.Having.Expression != "" {
// Rewrite having expression to use SQL column names
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForLogs(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForLogs(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}
@@ -441,10 +438,7 @@ func (b *logQueryStatementBuilder) buildTimeSeriesQuery(
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForLogs(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForLogs(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}
@@ -551,10 +545,7 @@ func (b *logQueryStatementBuilder) buildScalarQuery(
// Add having clause if needed
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForLogs(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForLogs(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}

View File

@@ -6,7 +6,6 @@ import (
"github.com/SigNoz/signoz/pkg/querybuilder"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestHavingExpressionRewriter_LogQueries(t *testing.T) {
@@ -15,7 +14,6 @@ func TestHavingExpressionRewriter_LogQueries(t *testing.T) {
havingExpression string
aggregations []qbtypes.LogAggregation
expectedExpression string
wantErr bool
}{
{
name: "single aggregation with alias",
@@ -68,34 +66,13 @@ func TestHavingExpressionRewriter_LogQueries(t *testing.T) {
},
expectedExpression: "__result_1 > 10 AND __result_0 < 1000",
},
{
name: "string literal in having expression",
havingExpression: "count() > 'threshold'",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: ""},
},
wantErr: true,
},
{
name: "unknown reference",
havingExpression: "no_such_alias > 100",
aggregations: []qbtypes.LogAggregation{
{Expression: "count()", Alias: "total_logs"},
},
wantErr: true,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
rewriter := querybuilder.NewHavingExpressionRewriter()
result, err := rewriter.RewriteForLogs(tt.havingExpression, tt.aggregations)
if tt.wantErr {
require.Error(t, err)
} else {
require.NoError(t, err)
assert.Equal(t, tt.expectedExpression, result)
}
result := rewriter.RewriteForLogs(tt.havingExpression, tt.aggregations)
assert.Equal(t, tt.expectedExpression, result)
})
}
}

View File

@@ -10,6 +10,7 @@ import (
"github.com/ClickHouse/clickhouse-go/v2/lib/chcol"
schemamigrator "github.com/SigNoz/signoz-otel-collector/cmd/signozschemamigrator/schema_migrator"
"github.com/SigNoz/signoz-otel-collector/constants"
"github.com/SigNoz/signoz-otel-collector/utils"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
@@ -112,7 +113,7 @@ func (t *telemetryMetaStore) buildBodyJSONPaths(ctx context.Context,
for _, fieldKey := range fieldKeys {
promotedKey := strings.Split(fieldKey.Name, telemetrytypes.ArraySep)[0]
fieldKey.Materialized = promoted[promotedKey]
fieldKey.Materialized = promoted.Contains(promotedKey)
fieldKey.Indexes = indexes[fieldKey.Name]
}
@@ -294,6 +295,33 @@ func (t *telemetryMetaStore) ListLogsJSONIndexes(ctx context.Context, filters ..
return indexes, nil
}
func (t *telemetryMetaStore) ListPromotedPaths(ctx context.Context, paths ...string) (map[string]struct{}, error) {
sb := sqlbuilder.Select("path").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
pathConditions := []string{}
for _, path := range paths {
pathConditions = append(pathConditions, sb.Equal("path", path))
}
sb.Where(sb.Or(pathConditions...))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, errors.WrapInternalf(err, CodeFailLoadPromotedPaths, "failed to load promoted paths")
}
defer rows.Close()
next := make(map[string]struct{})
for rows.Next() {
var path string
if err := rows.Scan(&path); err != nil {
return nil, errors.WrapInternalf(err, CodeFailLoadPromotedPaths, "failed to scan promoted path")
}
next[path] = struct{}{}
}
return next, nil
}
// TODO(Piyush): Remove this if not used in future
func (t *telemetryMetaStore) ListJSONValues(ctx context.Context, path string, limit int) (*telemetrytypes.TelemetryFieldValues, bool, error) {
path = CleanPathPrefixes(path)
@@ -456,12 +484,11 @@ func derefValue(v any) any {
return val.Interface()
}
// IsPathPromoted checks if a specific path is promoted (Column Evolution table: field_name for logs body).
// IsPathPromoted checks if a specific path is promoted
func (t *telemetryMetaStore) IsPathPromoted(ctx context.Context, path string) (bool, error) {
split := strings.Split(path, telemetrytypes.ArraySep)
pathSegment := split[0]
query := fmt.Sprintf("SELECT 1 FROM %s.%s WHERE signal = ? AND column_name = ? AND field_context = ? AND field_name = ? LIMIT 1", DBName, PromotedPathsTableName)
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, telemetrytypes.SignalLogs, telemetrylogs.LogsV2BodyPromotedColumn, telemetrytypes.FieldContextBody, pathSegment)
query := fmt.Sprintf("SELECT 1 FROM %s.%s WHERE path = ? LIMIT 1", DBName, PromotedPathsTableName)
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, split[0])
if err != nil {
return false, errors.WrapInternalf(err, CodeFailCheckPathPromoted, "failed to check if path %s is promoted", path)
}
@@ -470,24 +497,15 @@ func (t *telemetryMetaStore) IsPathPromoted(ctx context.Context, path string) (b
return rows.Next(), nil
}
// GetPromotedPaths returns promoted paths from the Column Evolution table (field_name for logs body).
func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...string) (map[string]bool, error) {
sb := sqlbuilder.Select("field_name").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
conditions := []string{
sb.Equal("signal", telemetrytypes.SignalLogs),
sb.Equal("column_name", telemetrylogs.LogsV2BodyPromotedColumn),
sb.Equal("field_context", telemetrytypes.FieldContextBody),
sb.NotEqual("field_name", "__all__"),
// GetPromotedPaths checks if a specific path is promoted
func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...string) (*utils.ConcurrentSet[string], error) {
sb := sqlbuilder.Select("path").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
pathConditions := []string{}
for _, path := range paths {
split := strings.Split(path, telemetrytypes.ArraySep)
pathConditions = append(pathConditions, sb.Equal("path", split[0]))
}
if len(paths) > 0 {
pathArgs := make([]interface{}, len(paths))
for i, path := range paths {
split := strings.Split(path, telemetrytypes.ArraySep)
pathArgs[i] = split[0]
}
conditions = append(conditions, sb.In("field_name", pathArgs))
}
sb.Where(sb.And(conditions...))
sb.Where(sb.Or(pathConditions...))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
@@ -496,13 +514,13 @@ func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...stri
}
defer rows.Close()
promotedPaths := make(map[string]bool)
promotedPaths := utils.NewConcurrentSet[string]()
for rows.Next() {
var fieldName string
if err := rows.Scan(&fieldName); err != nil {
var path string
if err := rows.Scan(&path); err != nil {
return nil, errors.WrapInternalf(err, CodeFailCheckPathPromoted, "failed to scan promoted path")
}
promotedPaths[fieldName] = true
promotedPaths.Insert(path)
}
return promotedPaths, nil
@@ -516,22 +534,21 @@ func CleanPathPrefixes(path string) string {
return path
}
// PromotePaths inserts promoted paths into the Column Evolution table (same schema as signoz-otel-collector metadata_migrations).
func (t *telemetryMetaStore) PromotePaths(ctx context.Context, paths ...string) error {
batch, err := t.telemetrystore.ClickhouseDB().PrepareBatch(ctx,
fmt.Sprintf("INSERT INTO %s.%s (signal, column_name, column_type, field_context, field_name, version, release_time) VALUES", DBName,
fmt.Sprintf("INSERT INTO %s.%s (path, created_at) VALUES", DBName,
PromotedPathsTableName))
if err != nil {
return errors.WrapInternalf(err, CodeFailedToPrepareBatch, "failed to prepare batch")
}
releaseTime := time.Now().UnixNano()
nowMs := uint64(time.Now().UnixMilli())
for _, p := range paths {
trimmed := strings.TrimSpace(p)
if trimmed == "" {
continue
}
if err := batch.Append(telemetrytypes.SignalLogs, telemetrylogs.LogsV2BodyPromotedColumn, "JSON()", telemetrytypes.FieldContextBody, trimmed, 0, releaseTime); err != nil {
if err := batch.Append(trimmed, nowMs); err != nil {
_ = batch.Abort()
return errors.WrapInternalf(err, CodeFailedToAppendPath, "failed to append path")
}

View File

@@ -1616,52 +1616,40 @@ func (t *telemetryMetaStore) FetchTemporality(ctx context.Context, queryTimeRang
}
func (t *telemetryMetaStore) FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
temporalities, _, err := t.FetchTemporalityAndTypeMulti(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
return temporalities, err
}
func (t *telemetryMetaStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
if len(metricNames) == 0 {
return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), nil
return make(map[string]metrictypes.Temporality), nil
}
temporalities := make(map[string]metrictypes.Temporality)
types := make(map[string]metrictypes.Type)
metricsTemporality, metricTypes, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
result := make(map[string]metrictypes.Temporality)
metricsTemporality, err := t.fetchMetricsTemporality(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
if err != nil {
return nil, nil, err
return nil, err
}
// TODO: return error after table migration are run
meterMetricsTemporality, meterMetricsTypes, _ := t.fetchMeterSourceMetricsTemporalityAndType(ctx, metricNames...)
meterMetricsTemporality, _ := t.fetchMeterSourceMetricsTemporality(ctx, metricNames...)
// For metrics not found in the database, set to Unknown
for _, metricName := range metricNames {
if temporality, exists := metricsTemporality[metricName]; exists && len(temporality) > 0 {
if len(temporality) > 1 {
temporalities[metricName] = metrictypes.Multiple
result[metricName] = metrictypes.Multiple
} else {
temporalities[metricName] = temporality[0]
result[metricName] = temporality[0]
}
} else if temporality, exists := meterMetricsTemporality[metricName]; exists {
temporalities[metricName] = temporality
} else {
temporalities[metricName] = metrictypes.Unknown
continue
}
if metricType, exists := metricTypes[metricName]; exists {
types[metricName] = metricType
} else if meterMetricType, exists := meterMetricsTypes[metricName]; exists {
types[metricName] = meterMetricType
} else {
types[metricName] = metrictypes.UnspecifiedType
if temporality, exists := meterMetricsTemporality[metricName]; exists {
result[metricName] = temporality
continue
}
result[metricName] = metrictypes.Unknown
}
return temporalities, types, nil
return result, nil
}
func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, map[string]metrictypes.Type, error) {
temporalities := make(map[string][]metrictypes.Temporality)
types := make(map[string]metrictypes.Type)
func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, error) {
result := make(map[string][]metrictypes.Temporality)
adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, nil)
@@ -1672,8 +1660,6 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
sb := sqlbuilder.Select(
"metric_name",
"temporality",
"any(type) AS type",
"any(is_monotonic) as is_monotonic",
).
From(t.metricsDBName + "." + tsTableName)
@@ -1692,42 +1678,47 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
}
defer rows.Close()
// Process results
for rows.Next() {
var metricName string
var metricName, temporalityStr string
if err := rows.Scan(&metricName, &temporalityStr); err != nil {
return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
}
// Convert string to Temporality type
var temporality metrictypes.Temporality
var metricType metrictypes.Type
var isMonotonic bool
if err := rows.Scan(&metricName, &temporality, &metricType, &isMonotonic); err != nil {
return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
switch temporalityStr {
case "Delta":
temporality = metrictypes.Delta
case "Cumulative":
temporality = metrictypes.Cumulative
case "Unspecified":
temporality = metrictypes.Unspecified
default:
// Unknown or empty temporality
temporality = metrictypes.Unknown
}
if temporality != metrictypes.Unknown {
temporalities[metricName] = append(temporalities[metricName], temporality)
result[metricName] = append(result[metricName], temporality)
}
if metricType == metrictypes.SumType && !isMonotonic {
metricType = metrictypes.GaugeType
}
types[metricName] = metricType
}
if err := rows.Err(); err != nil {
return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
}
return temporalities, types, nil
return result, nil
}
func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
temporalities := make(map[string]metrictypes.Temporality)
types := make(map[string]metrictypes.Type)
func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, error) {
result := make(map[string]metrictypes.Temporality)
sb := sqlbuilder.Select(
"metric_name",
"argMax(temporality, unix_milli) as temporality",
"any(type) AS type",
).From(t.meterDBName + "." + t.meterFieldsTblName)
// Filter by metric names (in the temporality column due to data mix-up)
@@ -1742,27 +1733,35 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx conte
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
}
defer rows.Close()
// Process results
for rows.Next() {
var metricName string
var metricName, temporalityStr string
if err := rows.Scan(&metricName, &temporalityStr); err != nil {
return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
}
// Convert string to Temporality type
var temporality metrictypes.Temporality
var metricType metrictypes.Type
var isMonotonic bool
if err := rows.Scan(&metricName, &temporality, &metricType, &isMonotonic); err != nil {
return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
switch temporalityStr {
case "Delta":
temporality = metrictypes.Delta
case "Cumulative":
temporality = metrictypes.Cumulative
case "Unspecified":
temporality = metrictypes.Unspecified
default:
// Unknown or empty temporality
temporality = metrictypes.Unknown
}
if metricType == metrictypes.SumType && !isMonotonic {
metricType = metrictypes.GaugeType
}
temporalities[metricName] = temporality
types[metricName] = metricType
result[metricName] = temporality
}
return temporalities, types, nil
return result, nil
}
// chunkSizeFirstSeenMetricMetadata limits the number of tuples per SQL query to avoid hitting the max_query_size limit.

View File

@@ -7,7 +7,6 @@ const (
AttributesMetadataTableName = "distributed_attributes_metadata"
AttributesMetadataLocalTableName = "attributes_metadata"
PathTypesTableName = otelcollectorconst.DistributedPathTypesTable
// Column Evolution table stores promoted paths as (signal, column_name, field_context, field_name); see signoz-otel-collector metadata_migrations.
PromotedPathsTableName = "distributed_column_evolution_metadata"
PromotedPathsTableName = otelcollectorconst.DistributedPromotedPathsTable
SkipIndexTableName = "system.data_skipping_indices"
)

View File

@@ -123,7 +123,8 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
origTimeAgg := query.Aggregations[0].TimeAggregation
origGroupBy := slices.Clone(query.GroupBy)
if query.Aggregations[0].Type == metrictypes.HistogramType {
if query.Aggregations[0].SpaceAggregation.IsPercentile() &&
query.Aggregations[0].Type != metrictypes.ExpHistogramType {
// add le in the group by if doesn't exist
leExists := false
for _, g := range query.GroupBy {
@@ -153,11 +154,7 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
}
// make the time aggregation rate and space aggregation sum
if query.Aggregations[0].SpaceAggregation.IsPercentile() {
query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
} else {
query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationIncrease
}
query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
}
@@ -554,9 +551,6 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
cteArgs [][]any,
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
) (*qbtypes.Statement, error) {
metricType := query.Aggregations[0].Type
spaceAgg := query.Aggregations[0].SpaceAggregation
combined := querybuilder.CombineCTEs(cteFragments)
var args []any
@@ -566,8 +560,12 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
sb := sqlbuilder.NewSelectBuilder()
if metricType == metrictypes.HistogramType && spaceAgg.IsPercentile() {
quantile := query.Aggregations[0].SpaceAggregation.Percentile()
var quantile float64
if query.Aggregations[0].SpaceAggregation.IsPercentile() {
quantile = query.Aggregations[0].SpaceAggregation.Percentile()
}
if quantile != 0 && query.Aggregations[0].Type != metrictypes.ExpHistogramType {
sb.Select("ts")
for _, g := range query.GroupBy {
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
@@ -579,55 +577,22 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
sb.From("__spatial_aggregation_cte")
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
sb.GroupBy("ts")
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
sb.Having(rewrittenExpr)
}
} else if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam != nil {
sb.Select("ts")
for _, g := range query.GroupBy {
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
}
aggQuery, err := AggregationQueryForHistogramCountWithParams(query.Aggregations[0].ComparisonSpaceAggregationParam)
if err != nil {
return nil, err
}
sb.SelectMore(aggQuery)
sb.From("__spatial_aggregation_cte")
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
sb.GroupBy("ts")
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}
} else {
// for count aggregation on histograms with no params, the exact result of spatial aggregation can be sent forward
sb.Select("*")
sb.From("__spatial_aggregation_cte")
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
sb.Where(rewrittenExpr)
}
}
sb.OrderBy(querybuilder.GroupByKeys(query.GroupBy)...)
sb.OrderBy("ts")
if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam == nil {
sb.OrderBy("toFloat64(le)")
}
q, a := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return &qbtypes.Statement{Query: combined + q, Args: append(args, a...)}, nil

View File

@@ -1,7 +1,6 @@
package telemetrymetrics
import (
"fmt"
"time"
"github.com/SigNoz/signoz/pkg/errors"
@@ -309,20 +308,3 @@ func AggregationColumnForSamplesTable(
}
return aggregationColumn, nil
}
func AggregationQueryForHistogramCountWithParams(param *metrictypes.ComparisonSpaceAggregationParam) (string, error) {
if param == nil {
return "", errors.New(errors.TypeInvalidInput, errors.CodeInvalidInput, "no aggregation param provided for histogram count")
}
histogramCountThreshold := param.Threshold
switch param.Operater {
case "<=":
return fmt.Sprintf("argMaxIf(value, toFloat64(le), toFloat64(le) <= %f) + (argMinIf(value, toFloat64(le), toFloat64(le) > %f) - argMaxIf(value, toFloat64(le), toFloat64(le) <= %f)) * (%f - maxIf(toFloat64(le), toFloat64(le) <= %f)) / (minIf(toFloat64(le), toFloat64(le) > %f) - maxIf(toFloat64(le), toFloat64(le) <= %f)) AS value", histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold), nil
case ">":
return fmt.Sprintf("argMax(value, toFloat64(le)) - (argMaxIf(value, toFloat64(le), toFloat64(le) <= %f) + (argMinIf(value, toFloat64(le), toFloat64(le) > %f) - argMaxIf(value, toFloat64(le), toFloat64(le) <= %f)) * (%f - maxIf(toFloat64(le), toFloat64(le) <= %f)) / (minIf(toFloat64(le), toFloat64(le) > %f) - maxIf(toFloat64(le), toFloat64(le) <= %f))) AS value", histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold), nil
default:
return "", errors.New(errors.TypeInvalidInput, errors.CodeInvalidInput, "invalid space aggregation operator, should be one of the following: [`<=`, `>`]")
}
}

View File

@@ -569,10 +569,7 @@ func (b *traceQueryStatementBuilder) buildTimeSeriesQuery(
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForTraces(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForTraces(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}
@@ -598,10 +595,7 @@ func (b *traceQueryStatementBuilder) buildTimeSeriesQuery(
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
if query.Having != nil && query.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForTraces(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForTraces(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}
@@ -707,10 +701,7 @@ func (b *traceQueryStatementBuilder) buildScalarQuery(
// Add having clause if needed
if query.Having != nil && query.Having.Expression != "" && !skipHaving {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForTraces(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
rewrittenExpr := rewriter.RewriteForTraces(query.Having.Expression, query.Aggregations)
sb.Having(rewrittenExpr)
}

View File

@@ -3,7 +3,7 @@ package telemetrytraces
import (
"strings"
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
"github.com/antlr4-go/antlr/v4"
)

View File

@@ -615,10 +615,7 @@ func (b *traceOperatorCTEBuilder) buildTimeSeriesQuery(ctx context.Context, sele
combinedArgs := append(allGroupByArgs, allAggChArgs...)
// Add HAVING clause if specified
err = b.addHavingClause(sb)
if err != nil {
return nil, err
}
b.addHavingClause(sb)
sql, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, combinedArgs...)
return &qbtypes.Statement{
@@ -730,10 +727,7 @@ func (b *traceOperatorCTEBuilder) buildTraceQuery(ctx context.Context, selectFro
sb.GroupBy(groupByKeys...)
}
err = b.addHavingClause(sb)
if err != nil {
return nil, err
}
b.addHavingClause(sb)
orderApplied := false
for _, orderBy := range b.operator.Order {
@@ -872,10 +866,7 @@ func (b *traceOperatorCTEBuilder) buildScalarQuery(ctx context.Context, selectFr
combinedArgs := append(allGroupByArgs, allAggChArgs...)
// Add HAVING clause if specified
err = b.addHavingClause(sb)
if err != nil {
return nil, err
}
b.addHavingClause(sb)
sql, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, combinedArgs...)
return &qbtypes.Statement{
@@ -884,16 +875,12 @@ func (b *traceOperatorCTEBuilder) buildScalarQuery(ctx context.Context, selectFr
}, nil
}
func (b *traceOperatorCTEBuilder) addHavingClause(sb *sqlbuilder.SelectBuilder) error {
func (b *traceOperatorCTEBuilder) addHavingClause(sb *sqlbuilder.SelectBuilder) {
if b.operator.Having != nil && b.operator.Having.Expression != "" {
rewriter := querybuilder.NewHavingExpressionRewriter()
rewrittenExpr, err := rewriter.RewriteForTraces(b.operator.Having.Expression, b.operator.Aggregations)
if err != nil {
return err
}
rewrittenExpr := rewriter.RewriteForTraces(b.operator.Having.Expression, b.operator.Aggregations)
sb.Having(rewrittenExpr)
}
return nil
}
func (b *traceOperatorCTEBuilder) addCTE(name, sql string, args []any, dependsOn []string) {

View File

@@ -2,7 +2,6 @@ package metrictypes
import (
"database/sql/driver"
"fmt"
"strings"
"github.com/SigNoz/signoz/pkg/errors"
@@ -257,12 +256,3 @@ type MetricTableHints struct {
type MetricValueFilter struct {
Value float64
}
type ComparisonSpaceAggregationParam struct {
Operater string `json:"operator" required:"true"`
Threshold float64 `json:"threshold" required:"true"`
}
func (param ComparisonSpaceAggregationParam) StringValue() string {
return fmt.Sprintf("operator=%s:threshold=%f", param.Operater, param.Threshold)
}

View File

@@ -446,8 +446,6 @@ type MetricAggregation struct {
TimeAggregation metrictypes.TimeAggregation `json:"timeAggregation"`
// space aggregation to apply to the query
SpaceAggregation metrictypes.SpaceAggregation `json:"spaceAggregation"`
// param for space aggregation if needed
ComparisonSpaceAggregationParam *metrictypes.ComparisonSpaceAggregationParam `json:"comparisonSpaceAggregationParam"`
// table hints to use for the query
TableHints *metrictypes.MetricTableHints `json:"-"`
// value filter to apply to the query

View File

@@ -237,12 +237,6 @@ func (q *QueryBuilderQuery[T]) validateAggregations(requestType RequestType) err
}
aliases[v.Alias] = true
}
if strings.Contains(strings.ToLower(v.Expression), " as ") {
return errors.NewInvalidInputf(
errors.CodeInvalidInput,
"aliasing is not allowed in expression. Use `alias` field instead",
)
}
case LogAggregation:
if v.Expression == "" {
aggId := fmt.Sprintf("aggregation #%d", i+1)
@@ -265,12 +259,6 @@ func (q *QueryBuilderQuery[T]) validateAggregations(requestType RequestType) err
}
aliases[v.Alias] = true
}
if strings.Contains(strings.ToLower(v.Expression), " as ") {
return errors.NewInvalidInputf(
errors.CodeInvalidInput,
"aliasing is not allowed in expression. Use `alias` field instead",
)
}
}
}

View File

@@ -32,13 +32,11 @@ type MetadataStore interface {
// FetchTemporalityMulti fetches the temporality for multiple metrics
FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error)
FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error)
// ListLogsJSONIndexes lists the JSON indexes for the logs table.
ListLogsJSONIndexes(ctx context.Context, filters ...string) (map[string][]schemamigrator.Index, error)
// ListPromotedPaths lists the promoted paths.
GetPromotedPaths(ctx context.Context, paths ...string) (map[string]bool, error)
ListPromotedPaths(ctx context.Context, paths ...string) (map[string]struct{}, error)
// PromotePaths promotes the paths.
PromotePaths(ctx context.Context, paths ...string) error

View File

@@ -16,8 +16,7 @@ type MockMetadataStore struct {
RelatedValuesMap map[string][]string
AllValuesMap map[string]*telemetrytypes.TelemetryFieldValues
TemporalityMap map[string]metrictypes.Temporality
TypeMap map[string]metrictypes.Type
PromotedPathsMap map[string]bool
PromotedPathsMap map[string]struct{}
LogsJSONIndexesMap map[string][]schemamigrator.Index
LookupKeysMap map[telemetrytypes.MetricMetadataLookupKey]int64
}
@@ -29,8 +28,7 @@ func NewMockMetadataStore() *MockMetadataStore {
RelatedValuesMap: make(map[string][]string),
AllValuesMap: make(map[string]*telemetrytypes.TelemetryFieldValues),
TemporalityMap: make(map[string]metrictypes.Temporality),
TypeMap: make(map[string]metrictypes.Type),
PromotedPathsMap: make(map[string]bool),
PromotedPathsMap: make(map[string]struct{}),
LogsJSONIndexesMap: make(map[string][]schemamigrator.Index),
LookupKeysMap: make(map[telemetrytypes.MetricMetadataLookupKey]int64),
}
@@ -289,27 +287,6 @@ func (m *MockMetadataStore) FetchTemporalityMulti(ctx context.Context, queryTime
return result, nil
}
// FetchTemporalityMulti fetches the temporality for multiple metrics
func (m *MockMetadataStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
temporalities := make(map[string]metrictypes.Temporality)
types := make(map[string]metrictypes.Type)
for _, metricName := range metricNames {
if temporality, exists := m.TemporalityMap[metricName]; exists {
temporalities[metricName] = temporality
} else {
temporalities[metricName] = metrictypes.Unknown
}
if metricType, exists := m.TypeMap[metricName]; exists {
types[metricName] = metricType
} else {
types[metricName] = metrictypes.UnspecifiedType
}
}
return temporalities, types, nil
}
// SetTemporality sets the temporality for a metric in the mock store
func (m *MockMetadataStore) SetTemporality(metricName string, temporality metrictypes.Temporality) {
m.TemporalityMap[metricName] = temporality
@@ -318,13 +295,13 @@ func (m *MockMetadataStore) SetTemporality(metricName string, temporality metric
// PromotePaths promotes the paths.
func (m *MockMetadataStore) PromotePaths(ctx context.Context, paths ...string) error {
for _, path := range paths {
m.PromotedPathsMap[path] = true
m.PromotedPathsMap[path] = struct{}{}
}
return nil
}
// GetPromotedPaths returns the promoted paths.
func (m *MockMetadataStore) GetPromotedPaths(ctx context.Context, paths ...string) (map[string]bool, error) {
// ListPromotedPaths lists the promoted paths.
func (m *MockMetadataStore) ListPromotedPaths(ctx context.Context, paths ...string) (map[string]struct{}, error) {
return m.PromotedPathsMap, nil
}

View File

@@ -6,7 +6,7 @@ import (
"strings"
"github.com/SigNoz/signoz/pkg/errors"
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/antlr4-go/antlr/v4"
)

View File

@@ -6,7 +6,6 @@ echo "Generating Go parser..."
mkdir -p pkg/parser
# Generate Go parser
antlr -visitor -Dlanguage=Go -o pkg/parser/filterquery grammar/FilterQuery.g4
antlr -visitor -Dlanguage=Go -o pkg/parser/havingexpression grammar/HavingExpression.g4
antlr -visitor -Dlanguage=Go -o pkg/parser grammar/FilterQuery.g4
echo "Go parser generation complete"

View File

@@ -52,7 +52,6 @@ def build_builder_query(
time_aggregation: str,
space_aggregation: str,
*,
comparisonSpaceAggregationParam: Optional[Dict] = None,
temporality: Optional[str] = None,
step_interval: int = DEFAULT_STEP_INTERVAL,
group_by: Optional[List[str]] = None,
@@ -75,8 +74,7 @@ def build_builder_query(
}
if temporality:
spec["aggregations"][0]["temporality"] = temporality
if comparisonSpaceAggregationParam:
spec["aggregations"][0]["comparisonSpaceAggregationParam"] = comparisonSpaceAggregationParam
if group_by:
spec["groupBy"] = [
{

View File

@@ -353,7 +353,7 @@ def test_for_week_long_time_range(
metrics = Metrics.load_from_file(
MULTI_TEMPORALITY_FILE_10h,
base_time=now - timedelta(minutes=1441),
base_time=now - timedelta(minutes=600),
metric_name_override=metric_name,
)
insert_metrics(metrics)

View File

@@ -1,322 +0,0 @@
"""
Look at the histogram_data_1h.jsonl file for the relevant data
"""
import random
from datetime import datetime, timedelta, timezone
from http import HTTPStatus
from typing import Callable, List
import pytest
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.metrics import Metrics
from fixtures.querier import (
build_builder_query,
get_all_series,
get_series_values,
make_query_request,
)
from fixtures.utils import get_testdata_file_path
FILE = get_testdata_file_path("histogram_data_1h.jsonl")
@pytest.mark.parametrize(
"threshold, operator, first_value, last_value",
[
(1000, "<=", 11, 69),
(100, "<=", 1.1, 6.9),
(7500, "<=", 16.75, 74.75),
(8000, "<=", 17, 75),
(80000, "<=", 17, 75), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
(1000, ">", 7, 7),
(100, ">", 16.9, 69.1),
(7500, ">", 1.25, 1.25),
(8000, ">", 1, 1),
(80000, ">", 1, 1), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
],
)
def test_histogram_count_for_one_endpoint(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
threshold: float,
operator: str,
first_value: float,
last_value: float,
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_one_endpoint_bucket"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"increase",
"count",
comparisonSpaceAggregationParam={
"threshold": threshold,
"operator": operator
},
filter_expression='endpoint = "/health"',
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == 59
assert result_values[0]["value"] == first_value
assert result_values[-1]["value"] == last_value
@pytest.mark.parametrize(
"threshold, operator, first_value, last_value",
[
(1000, "<=", 22, 138),
(100, "<=", 2.2, 13.8),
(7500, "<=", 33.5, 149.5),
(8000, "<=", 34, 150),
(80000, "<=", 34, 150), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
(1000, ">", 14, 14),
(100, ">", 33.8, 138.2),
(7500, ">", 2.5, 2.5),
(8000, ">", 2, 2),
(80000, ">", 2, 2), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
],
)
def test_histogram_count_for_one_service(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
threshold: float,
operator: str,
first_value: float,
last_value: float,
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_one_service_bucket"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"increase",
"count",
comparisonSpaceAggregationParam={
"threshold": threshold,
"operator": operator
},
filter_expression='service = "api"',
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == 59
assert result_values[0]["value"] == first_value
assert result_values[-1]["value"] == last_value
@pytest.mark.parametrize(
"threshold, operator, zeroth_value, first_value, last_value",
[
(1000, "<=", 12345, 11, 69),
(100, "<=", 1234.5, 1.1, 6.9),
(7500, "<=", 12345, 16.75, 74.75),
(8000, "<=", 12345, 17, 75),
(80000, "<=", 12345, 17, 75), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
(1000, ">", 0, 7, 7),
(100, ">", 11110.5, 16.9, 69.1),
(7500, ">", 0, 1.25, 1.25),
(8000, ">", 0, 1, 1),
(80000, ">", 0, 1, 1), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
],
)
def test_histogram_count_for_delta_service(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
threshold: float,
operator: str,
zeroth_value: float,
first_value: float,
last_value: float,
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_delta_service_bucket"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"increase",
"count",
comparisonSpaceAggregationParam={
"threshold": threshold,
"operator": operator
},
filter_expression='service = "web"',
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == 60 ## in delta, the value at 10:01 will also be reported
assert result_values[0]["value"] == zeroth_value
assert result_values[1]["value"] == first_value ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
assert result_values[-1]["value"] == last_value
@pytest.mark.parametrize(
"threshold, operator, zeroth_value, first_value, last_value",
[
(1000, "<=", 12345, 33, 207),
(100, "<=", 1234.5, 3.3, 20.7),
(7500, "<=", 12345, 50.25, 224.25),
(8000, "<=", 12345, 51, 225),
(80000, "<=", 12345, 51, 225),
(1000, ">", 0, 21, 21),
(100, ">", 11110.5, 50.7, 207.3),
(7500, ">", 0, 3.75, 3.75),
(8000, ">", 0, 3, 3),
(80000, ">", 0, 3, 3),
],
)
def test_histogram_count_for_all_services(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
threshold: float,
operator: str,
zeroth_value: float,
first_value: float,
last_value: float,
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_all_services_bucket"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"increase",
"count",
comparisonSpaceAggregationParam={
"threshold": threshold,
"operator": operator
},
## no services filter, this tests for multitemporality handling as well
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == 60 ## in delta, the value at 10:01 will also be reported
assert result_values[0]["value"] == zeroth_value
assert result_values[1]["value"] == first_value ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
assert result_values[-1]["value"] == last_value
def test_histogram_count_no_param(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_count_no_param_bucket"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"increase",
"count",
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
all_series = get_all_series(data, "A")
assert (
len(all_series) == 8
), f"Expected 8 series for 8 le buckets, got {len(all_series)}"
le_buckets = {}
for series in all_series:
le = series.get("labels", [{}])[0].get("value", "unknown")
values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
le_buckets[le] = values
expected_buckets = {"1000", "1500", "2000", "4000", "5000", "6000", "8000", "+Inf"}
assert (
set(le_buckets.keys()) == expected_buckets
), f"Expected endpoints {expected_buckets}, got {set(le_buckets.keys())}"
first_values = {"1000": 33, "1500": 36, "2000": 39, "4000": 42, "5000": 45, "6000": 48, "8000": 51, "+Inf": 54}
last_values = {"1000": 207, "1500": 210, "2000": 213, "4000": 216, "5000": 219, "6000": 222, "8000": 225, "+Inf": 228}
for le, values in le_buckets.items():
assert len(values) == 60
for v in values:
assert (
v["value"] >= 0
), f"Count for {le} should not be negative: {v['value']}"
assert values[0]["value"] == 12345
assert values[1]["value"] == first_values[le] ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
assert values[-1]["value"] == last_values[le]

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@@ -1,141 +0,0 @@
import random
from datetime import datetime, timedelta, timezone
from http import HTTPStatus
from typing import Callable, List
import pytest
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.metrics import Metrics
from fixtures.querier import (
build_builder_query,
get_all_series,
get_series_values,
make_query_request,
)
from fixtures.utils import get_testdata_file_path
FILE = get_testdata_file_path("gauge_data_1h.jsonl")
@pytest.mark.parametrize(
"time_agg, space_agg, service, num_elements, start_val, first_val, twentieth_min_val, after_twentieth_min_val",
[
("avg", "avg", "api", 60, 400, 800, 800, 400),
("avg", "avg", "web", 50, 800, 800, 800, 600),
("avg", "avg", "lab", 60, 500, 700, 700, 500),
("sum", "sum", "api", 60, 400, 800, 800, 400),
("sum", "sum", "web", 50, 800, 800, 800, 600),
("sum", "sum", "lab", 60, 1000, 1400, 1400, 1000),
("max", "max", "api", 60, 400, 800, 800, 400),
("max", "max", "web", 50, 800, 800, 800, 600),
("max", "max", "lab", 60, 600, 800, 800, 600),
("avg", "sum", "api", 60, 400, 800, 800, 400),
("avg", "sum", "web", 50, 800, 800, 800, 600),
("avg", "sum", "lab", 60, 500, 700, 700, 500),
("max", "sum", "api", 60, 400, 800, 800, 400),
("max", "sum", "web", 50, 800, 800, 800, 600),
("max", "sum", "lab", 60, 600, 800, 800, 600),
],
)
def test_for_one_service(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
time_agg: str,
space_agg: str,
service: str,
num_elements: float,
start_val: float,
first_val: float,
twentieth_min_val: float,
after_twentieth_min_val: float ## web service has a gap of 10 mins after the 20th minute
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = f"test_memory_{time_agg}_{space_agg}_{service}_usage"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
time_agg,
space_agg,
filter_expression=f'service = "{service}"',
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == num_elements
assert result_values[0]["value"] == start_val
assert result_values[1]["value"] == first_val
assert result_values[19]["value"] == twentieth_min_val
assert result_values[20]["value"] == after_twentieth_min_val
@pytest.mark.parametrize(
"time_agg, space_agg, start_val, first_val, twentieth_min_val, twenty_first_min_val, thirty_first_min_val",
[
("avg", "avg", 566.667, 766.667, 766.667, 450, 500),
("avg", "sum", 1700, 2300, 2300, 900, 1500),
("avg", "max", 800, 800, 800, 500, 600),
("max", "avg", 600, 800, 800, 500, 533.333),
("max", "sum", 1800, 2400, 2400, 1000, 1600),
("max", "max", 800, 800, 800, 600, 600),
],
)
def test_for_multiple_aggregations(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
time_agg: str,
space_agg: str,
start_val: float,
first_val: float,
twentieth_min_val: float,
twenty_first_min_val: float, ## web service has a gap of 10 mins after the 20th minute
thirty_first_min_val: float
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = f"test_memory_{time_agg}_{space_agg}_usage"
metrics = Metrics.load_from_file(
FILE,
base_time=now - timedelta(minutes=60),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
time_agg,
space_agg,
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == 60
assert result_values[0]["value"] == start_val
assert result_values[1]["value"] == first_val
assert result_values[19]["value"] == twentieth_min_val
assert result_values[20]["value"] == twenty_first_min_val
assert result_values[30]["value"] == thirty_first_min_val

View File

@@ -1,220 +0,0 @@
"""
Look at the delta_counters_1h.jsonl file for the relevant data
"""
import os
from datetime import datetime, timedelta, timezone
from http import HTTPStatus
from typing import Any, Callable, List
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.metrics import Metrics
from fixtures.querier import (
build_builder_query,
get_all_series,
get_series_values,
make_query_request,
)
TESTDATA_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "testdata")
DELTA_COUNTERS_FILE = os.path.join(TESTDATA_DIR, "delta_counters_1h.jsonl")
def test_rate_with_steady_values_and_reset(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_rate_stale"
metrics = Metrics.load_from_file(
DELTA_COUNTERS_FILE,
base_time=now - timedelta(minutes=61),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"rate",
"sum",
filter_expression='endpoint = "/orders"',
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) == 60 ## total 61 minutes covered, and 30th minute is missing
assert (
result_values[30]["value"] == 0.0333
) # reset happens and [30] is for 31st minute. 2/60 cuz delta divides by step interval
assert (
result_values[31]["value"] == 0.133
) # i.e 8/60 i.e 31st to 32nd minute changes
count_of_steady_rate = sum(1 for v in result_values if v["value"] == 0.0833)
assert (
count_of_steady_rate == 58
) # 1 reset + 1 high rate are excluded
# All rates should be non-negative (stale periods = 0 rate)
for v in result_values:
assert v["value"] >= 0, f"Rate should not be negative: {v['value']}"
def test_rate_group_by_endpoint(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[List[Metrics]], None],
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
end_ms = int(now.timestamp() * 1000)
metric_name = "test_rate_groupby"
metrics = Metrics.load_from_file(
DELTA_COUNTERS_FILE,
base_time=now - timedelta(minutes=61),
metric_name_override=metric_name,
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
query = build_builder_query(
"A",
metric_name,
"rate",
"sum",
group_by=["endpoint"],
)
response = make_query_request(signoz, token, start_ms, end_ms, [query])
assert response.status_code == HTTPStatus.OK
data = response.json()
all_series = get_all_series(data, "A")
# Should have 5 different endpoints
assert (
len(all_series) == 5
), f"Expected 5 series for 5 endpoints, got {len(all_series)}"
# endpoint -> values
endpoint_values = {}
for series in all_series:
endpoint = series.get("labels", [{}])[0].get("value", "unknown")
values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
endpoint_values[endpoint] = values
expected_endpoints = {"/products", "/health", "/checkout", "/orders", "/users"}
assert (
set(endpoint_values.keys()) == expected_endpoints
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_values.keys())}"
# at no point rate should be negative
for endpoint, values in endpoint_values.items():
for v in values:
assert (
v["value"] >= 0
), f"Rate for {endpoint} should not be negative: {v['value']}"
# /health: 60 data points (t01-t60), steady +10/min
# rate = 10/60 = 0.167
health_values = endpoint_values["/health"]
assert (
len(health_values) == 60
), f"Expected 60 values for /health, got {len(health_values)}"
count_steady_health = sum(1 for v in health_values if v["value"] == 0.167)
assert (
count_steady_health == 60
), f"Expected == 60 steady rate values (0.167) for /health, got {count_steady_health}"
# all /health rates should be 0.167 except possibly first/last due to boundaries
for v in health_values[1:-1]:
assert v["value"] == 0.167, f"Expected /health rate 0.167, got {v['value']}"
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
# rate = 20/60 = 0.333, gap causes lower averaged rate at boundary
products_values = endpoint_values["/products"]
assert (
len(products_values) == 51
), f"Expected 51 values for /products, got {len(products_values)}"
count_steady_products = sum(1 for v in products_values if v["value"] == 0.333)
assert (
count_steady_products == 51
), f"Expected 51 steady rate values (0.333) for /products, got {count_steady_products}"
# /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
# normal rate = 1/60 = 0.0167, spike rate = 50/60 = 0.833
checkout_values = endpoint_values["/checkout"]
assert (
len(checkout_values) == 61
), f"Expected 61 values for /checkout, got {len(checkout_values)}"
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == 0.0167)
assert (
count_steady_checkout == 56
), f"Expected 56 steady rate values (0.0167) for /checkout, got {count_steady_checkout}"
# check that spike values exist (traffic spike +50/min at t40-t44)
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == 0.833)
assert (
count_spike_checkout == 5
), f"Expected 5 spike rate values (0.833) for /checkout, got {count_spike_checkout}"
# spike values should be consecutive
spike_indices = [
i for i, v in enumerate[Any](checkout_values) if v["value"] == 0.833
]
assert len(spike_indices) == 5, f"Expected 5 spike indices, got {spike_indices}"
# consecutiveness
for i in range(1, len(spike_indices)):
assert (
spike_indices[i] == spike_indices[i - 1] + 1
), f"Spike indices should be consecutive, got {spike_indices}"
# /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
# rate = 5/60 = 0.0833
# reset at t31 causes: rate at t30 includes gap (lower), t31 has high rate after reset
orders_values = endpoint_values["/orders"]
assert (
len(orders_values) == 60
), f"Expected 59 values for /orders, got {len(orders_values)}"
count_steady_orders = sum(1 for v in orders_values if v["value"] == 0.0833)
assert (
count_steady_orders == 58
), f"Expected 58 steady rate values (0.0833) for /orders, got {count_steady_orders}"
# check for counter reset effects - there should be some non-standard values
non_standard_orders = [v["value"] for v in orders_values if v["value"] != 0.0833]
assert (
len(non_standard_orders) == 2
), f"Expected 2 non-standard values due to counter reset, got {non_standard_orders}"
# post-reset value should be higher (new counter value / interval)
high_rate_orders = [v for v in non_standard_orders if v > 0.0833]
assert (
len(high_rate_orders) == 1
), f"Expected one high rate value after counter reset, got {non_standard_orders}"
# /users: 56 data points (t05-t60), sparse +1 every 5 minutes (12 of them)
# Rate = 1/60 = 0.0167 during increment, 0 during flat periods
users_values = endpoint_values["/users"]
assert (
len(users_values) == 56
), f"Expected 56 values for /users, got {len(users_values)}"
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
# most values should be 0 (flat periods between increments)
assert (
count_zero_users == 44
), f"Expected 44 zero rate values for /users (sparse data), got {count_zero_users}"
# non-zero values should be 0.0167 (1/60 increment rate)
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
count_increment_rate = sum(1 for v in non_zero_users if v == 0.0167)
assert (
count_increment_rate == 12
), f"Expected 12 increment rate values (0.0167) for /users, got {count_increment_rate}"

View File

@@ -1,288 +0,0 @@
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:01:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:02:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:03:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:04:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:05:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:06:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:07:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:08:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:09:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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