Merge branch 'main' into tvats-add-validation-in-having-expression

docs/api/openapi.yml

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

frontend/src/api/generated/services/sigNoz.schemas.ts

@@ -1006,6 +1006,18 @@ 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',
@@ -1367,6 +1379,7 @@ export interface Querybuildertypesv5LogAggregationDTO {
 }
 
 export interface Querybuildertypesv5MetricAggregationDTO {
+	comparisonSpaceAggregationParam?: MetrictypesComparisonSpaceAggregationParamDTO;
 	/**
 	 * @type string
 	 */

frontend/src/container/AppLayout/index.tsx

@@ -117,7 +117,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 	const [showSlowApiWarning, setShowSlowApiWarning] = useState(false);
 	const [slowApiWarningShown, setSlowApiWarningShown] = useState(false);
 
-	const { latestVersion } = useSelector<AppState, AppReducer>(
+	const { currentVersion } = useSelector<AppState, AppReducer>(
 		(state) => state.app,
 	);
 
@@ -213,9 +213,9 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 		},
 		{
 			queryFn: (): Promise<SuccessResponse<ChangelogSchema> | ErrorResponse> =>
-				getChangelogByVersion(latestVersion, changelogForTenant),
-			queryKey: ['getChangelogByVersion', latestVersion, changelogForTenant],
-			enabled: isLoggedIn && Boolean(latestVersion),
+				getChangelogByVersion(currentVersion, changelogForTenant),
+			queryKey: ['getChangelogByVersion', currentVersion, changelogForTenant],
+			enabled: isLoggedIn && Boolean(currentVersion),
 		},
 	]);
 
@@ -226,7 +226,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 			!changelog &&
 			!getChangelogByVersionResponse.isLoading &&
 			isLoggedIn &&
-			Boolean(latestVersion)
+			Boolean(currentVersion)
 		) {
 			getChangelogByVersionResponse.refetch();
 		}
@@ -237,9 +237,9 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 		let timer: ReturnType<typeof setTimeout>;
 		if (
 			isCloudUserVal &&
-			Boolean(latestVersion) &&
+			Boolean(currentVersion) &&
 			seenChangelogVersion != null &&
-			latestVersion !== seenChangelogVersion &&
+			currentVersion !== 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,
-		latestVersion,
+		currentVersion,
 		seenChangelogVersion,
 		toggleChangelogModal,
 		isWorkspaceAccessRestricted,

grammar/HavingExpression.g4

@@ -0,0 +1,182 @@
+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] ;

pkg/contextlinks/alert_link_visitor.go

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

pkg/parser/havingexpression/grammar/HavingExpression.interp

@@ -0,0 +1,70 @@
+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]

pkg/parser/havingexpression/grammar/HavingExpression.tokens

@@ -0,0 +1,36 @@
+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

pkg/parser/havingexpression/grammar/HavingExpressionLexer.tokens

@@ -0,0 +1,36 @@
+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

pkg/parser/havingexpression/grammar/havingexpression_base_listener.go

@@ -0,0 +1,112 @@
+// 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) {}

pkg/parser/havingexpression/grammar/havingexpression_base_visitor.go

@@ -0,0 +1,69 @@
+// 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)
+}

pkg/parser/havingexpression/grammar/havingexpression_lexer.go

@@ -0,0 +1,213 @@
+// 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
+)

pkg/parser/havingexpression/grammar/havingexpression_listener.go

@@ -0,0 +1,100 @@
+// 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)
+}

pkg/parser/havingexpression/grammar/havingexpression_visitor.go

@@ -0,0 +1,55 @@
+// 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{}
+}

pkg/querier/builder_query.go

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

pkg/querier/querier.go

@@ -276,15 +276,17 @@ 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, err = q.metadataStore.FetchTemporalityMulti(ctx, req.Start, req.End, metricNames...)
+		metricTemporality, metricTypes, err = q.metadataStore.FetchTemporalityAndTypeMulti(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", "metric_temporality", metricTemporality)
+		q.logger.DebugContext(ctx, "fetched metric temporalities and types", "metric_temporality", metricTemporality, "metric_types", metricTypes)
 	}
 
 	queries := make(map[string]qbtypes.Query)
@@ -380,6 +382,12 @@ 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)

pkg/querybuilder/filter_error_listener.go

@@ -88,6 +88,8 @@ 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)
 }

pkg/querybuilder/having_expression_validator.go

@@ -0,0 +1,277 @@
+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
+}

pkg/querybuilder/having_rewriter.go

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

pkg/querybuilder/having_rewriter_test.go

@@ -0,0 +1,733 @@
+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)
+			}
+		})
+	}
+}

pkg/querybuilder/never_true.go

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

pkg/querybuilder/query_to_keys.go

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

pkg/querybuilder/where_clause_visitor.go

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

pkg/querybuilder/where_clause_visitor_test.go

@@ -5,7 +5,7 @@ import (
 	"strings"
 	"testing"
 
-	grammar "github.com/SigNoz/signoz/pkg/parser/grammar"
+	grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/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{

pkg/telemetrylogs/statement_builder.go

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

pkg/telemetrylogs/stmt_builder_having_test.go

@@ -6,6 +6,7 @@ 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) {
@@ -14,6 +15,7 @@ func TestHavingExpressionRewriter_LogQueries(t *testing.T) {
 		havingExpression   string
 		aggregations       []qbtypes.LogAggregation
 		expectedExpression string
+		wantErr            bool
 	}{
 		{
 			name:             "single aggregation with alias",
@@ -66,13 +68,34 @@ 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 := rewriter.RewriteForLogs(tt.havingExpression, tt.aggregations)
-			assert.Equal(t, tt.expectedExpression, result)
+			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)
+			}
 		})
 	}
 }

pkg/telemetrymetadata/metadata.go

@@ -1616,40 +1616,52 @@ 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), nil
+		return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), nil
 	}
 
-	result := make(map[string]metrictypes.Temporality)
-	metricsTemporality, err := t.fetchMetricsTemporality(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
+	temporalities := make(map[string]metrictypes.Temporality)
+	types := make(map[string]metrictypes.Type)
+	metricsTemporality, metricTypes, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
 	if err != nil {
-		return nil, err
+		return nil, nil, err
 	}
 	// TODO: return error after table migration are run
-	meterMetricsTemporality, _ := t.fetchMeterSourceMetricsTemporality(ctx, metricNames...)
+	meterMetricsTemporality, meterMetricsTypes, _ := t.fetchMeterSourceMetricsTemporalityAndType(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 {
-				result[metricName] = metrictypes.Multiple
+				temporalities[metricName] = metrictypes.Multiple
 			} else {
-				result[metricName] = temporality[0]
+				temporalities[metricName] = temporality[0]
 			}
-			continue
+		} else if temporality, exists := meterMetricsTemporality[metricName]; exists {
+			temporalities[metricName] = temporality
+		} else {
+			temporalities[metricName] = metrictypes.Unknown
 		}
-		if temporality, exists := meterMetricsTemporality[metricName]; exists {
-			result[metricName] = temporality
-			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
 		}
-		result[metricName] = metrictypes.Unknown
 	}
 
-	return result, nil
+	return temporalities, types, nil
 }
 
-func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, error) {
-	result := make(map[string][]metrictypes.Temporality)
+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)
 
 	adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, nil)
 
@@ -1660,6 +1672,8 @@ func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryT
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"temporality",
+		"any(type) AS type",
+		"any(is_monotonic) as is_monotonic",
 	).
 		From(t.metricsDBName + "." + tsTableName)
 
@@ -1678,47 +1692,42 @@ func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryT
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
+		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		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 metricName string
 		var temporality metrictypes.Temporality
-		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
+		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")
 		}
 		if temporality != metrictypes.Unknown {
-			result[metricName] = append(result[metricName], temporality)
+			temporalities[metricName] = append(temporalities[metricName], temporality)
 		}
+		if metricType == metrictypes.SumType && !isMonotonic {
+			metricType = metrictypes.GaugeType
+		}
+		types[metricName] = metricType
 	}
 	if err := rows.Err(); err != nil {
-		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
+		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
 	}
 
-	return result, nil
+	return temporalities, types, nil
 }
 
-func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, error) {
-	result := make(map[string]metrictypes.Temporality)
+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)
 
 	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)
@@ -1733,35 +1742,27 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Cont
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
+		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		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 metricName string
 		var temporality metrictypes.Temporality
-		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
+		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")
 		}
-
-		result[metricName] = temporality
+		if metricType == metrictypes.SumType && !isMonotonic {
+			metricType = metrictypes.GaugeType
+		}
+		temporalities[metricName] = temporality
+		types[metricName] = metricType
 	}
 
-	return result, nil
+	return temporalities, types, nil
 }
 
 // chunkSizeFirstSeenMetricMetadata limits the number of tuples per SQL query to avoid hitting the max_query_size limit.

pkg/telemetrymetrics/statement_builder.go

@@ -123,8 +123,7 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 	origTimeAgg := query.Aggregations[0].TimeAggregation
 	origGroupBy := slices.Clone(query.GroupBy)
 
-	if query.Aggregations[0].SpaceAggregation.IsPercentile() &&
-		query.Aggregations[0].Type != metrictypes.ExpHistogramType {
+	if query.Aggregations[0].Type == metrictypes.HistogramType {
 		// add le in the group by if doesn't exist
 		leExists := false
 		for _, g := range query.GroupBy {
@@ -154,7 +153,11 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 
 		// make the time aggregation rate and space aggregation sum
-		query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
+		if query.Aggregations[0].SpaceAggregation.IsPercentile() {
+			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
+		} else {
+			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationIncrease
+		}
 		query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
 	}
 
@@ -551,6 +554,9 @@ 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
@@ -560,12 +566,8 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 
 	sb := sqlbuilder.NewSelectBuilder()
 
-	var quantile float64
-	if query.Aggregations[0].SpaceAggregation.IsPercentile() {
-		quantile = query.Aggregations[0].SpaceAggregation.Percentile()
-	}
-
-	if quantile != 0 && query.Aggregations[0].Type != metrictypes.ExpHistogramType {
+	if metricType == metrictypes.HistogramType && spaceAgg.IsPercentile() {
+		quantile := query.Aggregations[0].SpaceAggregation.Percentile()
 		sb.Select("ts")
 		for _, g := range query.GroupBy {
 			sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
@@ -577,22 +579,55 @@ 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 := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
+			rewrittenExpr, err := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
+			if err != nil {
+				return nil, err
+			}
 			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

pkg/telemetrymetrics/tables.go

@@ -1,6 +1,7 @@
 package telemetrymetrics
 
 import (
+	"fmt"
 	"time"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -308,3 +309,20 @@ 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: [`<=`, `>`]")
+	}
+
+}

pkg/telemetrytraces/statement_builder.go

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

pkg/telemetrytraces/trace_id_extractor.go

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

pkg/telemetrytraces/trace_operator_cte_builder.go

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

pkg/types/metrictypes/metrictypes.go

@@ -2,6 +2,7 @@ package metrictypes
 
 import (
 	"database/sql/driver"
+	"fmt"
 	"strings"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -256,3 +257,12 @@ 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)
+}

pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go

@@ -446,6 +446,8 @@ 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

pkg/types/querybuildertypes/querybuildertypesv5/validation.go

@@ -237,6 +237,12 @@ 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)
@@ -259,6 +265,12 @@ 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",
+				)
+			}
 		}
 	}
 

pkg/types/telemetrytypes/store.go

@@ -32,6 +32,8 @@ 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)
 

pkg/types/telemetrytypes/telemetrytypestest/metadata_store.go

@@ -16,6 +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
 	LogsJSONIndexesMap map[string][]schemamigrator.Index
 	LookupKeysMap      map[telemetrytypes.MetricMetadataLookupKey]int64
@@ -28,6 +29,7 @@ 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),
 		LogsJSONIndexesMap: make(map[string][]schemamigrator.Index),
 		LookupKeysMap:      make(map[telemetrytypes.MetricMetadataLookupKey]int64),
@@ -287,6 +289,27 @@ 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

pkg/variables/variable_replace_visitor.go

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

scripts/grammar/generate-go-parser.sh

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

tests/integration/fixtures/querier.py

@@ -52,6 +52,7 @@ 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,
@@ -74,7 +75,8 @@ def build_builder_query(
     }
     if temporality:
         spec["aggregations"][0]["temporality"] = temporality
-
+    if comparisonSpaceAggregationParam:
+        spec["aggregations"][0]["comparisonSpaceAggregationParam"] = comparisonSpaceAggregationParam
     if group_by:
         spec["groupBy"] = [
             {

tests/integration/src/querier/07_metrics_multi_temporality.py

@@ -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=600),
+        base_time=now - timedelta(minutes=1441),
         metric_name_override=metric_name,
     )
     insert_metrics(metrics)

tests/integration/src/querier/08_metrics_histogram.py

@@ -0,0 +1,322 @@
+"""
+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] 

tests/integration/src/querier/09_metrics_gauge.py

@@ -0,0 +1,141 @@
+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

tests/integration/src/querier/10_metrics_rate_delta_counter.py

@@ -0,0 +1,220 @@
+"""
+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}"

tests/integration/testdata/delta_counters_1h.jsonl

@@ -0,0 +1,288 @@
+{"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":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:10:00+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":"2025-01-10T10:11:00+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":"2025-01-10T10:12:00+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":"2025-01-10T10:13:00+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":"2025-01-10T10:14:00+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":"2025-01-10T10:15:00+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":"2025-01-10T10:16:00+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":"2025-01-10T10:17:00+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":"2025-01-10T10:18:00+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":"2025-01-10T10:19:00+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":"2025-01-10T10:20:00+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":"2025-01-10T10:21:00+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":"2025-01-10T10:22:00+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":"2025-01-10T10:23:00+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":"2025-01-10T10:24:00+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":"2025-01-10T10:25:00+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":"2025-01-10T10:26:00+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":"2025-01-10T10:27:00+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":"2025-01-10T10:28:00+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":"2025-01-10T10:29:00+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":"2025-01-10T10:30:00+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":"2025-01-10T10:31:00+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":"2025-01-10T10:32:00+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":"2025-01-10T10:33:00+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":"2025-01-10T10:34:00+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":"2025-01-10T10:35:00+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":"2025-01-10T10:36:00+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":"2025-01-10T10:37:00+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":"2025-01-10T10:38:00+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":"2025-01-10T10:39:00+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":"2025-01-10T10:40:00+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":"2025-01-10T10:41:00+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":"2025-01-10T10:42:00+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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