@tanstack/db/dist/cjs/query/compiler/group-by.cjs.map

A reactive client store for building super fast apps on sync

{"version":3,"file":"group-by.cjs","sources":["../../../../src/query/compiler/group-by.ts"],"sourcesContent":["import { filter, groupBy, groupByOperators, map } from \"@tanstack/db-ivm\"\nimport { Func, PropRef } from \"../ir.js\"\nimport {\n  AggregateFunctionNotInSelectError,\n  NonAggregateExpressionNotInGroupByError,\n  UnknownHavingExpressionTypeError,\n  UnsupportedAggregateFunctionError,\n} from \"../../errors.js\"\nimport { compileExpression } from \"./evaluators.js\"\nimport type {\n  Aggregate,\n  BasicExpression,\n  GroupBy,\n  Having,\n  Select,\n} from \"../ir.js\"\nimport type { NamespacedAndKeyedStream, NamespacedRow } from \"../../types.js\"\n\nconst { sum, count, avg, min, max } = groupByOperators\n\n/**\n * Interface for caching the mapping between GROUP BY expressions and SELECT expressions\n */\ninterface GroupBySelectMapping {\n  selectToGroupByIndex: Map<string, number> // Maps SELECT alias to GROUP BY expression index\n  groupByExpressions: Array<any> // The GROUP BY expressions for reference\n}\n\n/**\n * Validates that all non-aggregate expressions in SELECT are present in GROUP BY\n * and creates a cached mapping for efficient lookup during processing\n */\nfunction validateAndCreateMapping(\n  groupByClause: GroupBy,\n  selectClause?: Select\n): GroupBySelectMapping {\n  const selectToGroupByIndex = new Map<string, number>()\n  const groupByExpressions = [...groupByClause]\n\n  if (!selectClause) {\n    return { selectToGroupByIndex, groupByExpressions }\n  }\n\n  // Validate each SELECT expression\n  for (const [alias, expr] of Object.entries(selectClause)) {\n    if (expr.type === `agg`) {\n      // Aggregate expressions are allowed and don't need to be in GROUP BY\n      continue\n    }\n\n    // Non-aggregate expression must be in GROUP BY\n    const groupIndex = groupByExpressions.findIndex((groupExpr) =>\n      expressionsEqual(expr, groupExpr)\n    )\n\n    if (groupIndex === -1) {\n      throw new NonAggregateExpressionNotInGroupByError(alias)\n    }\n\n    // Cache the mapping\n    selectToGroupByIndex.set(alias, groupIndex)\n  }\n\n  return { selectToGroupByIndex, groupByExpressions }\n}\n\n/**\n * Processes the GROUP BY clause with optional HAVING and SELECT\n * Works with the new __select_results structure from early SELECT processing\n */\nexport function processGroupBy(\n  pipeline: NamespacedAndKeyedStream,\n  groupByClause: GroupBy,\n  havingClauses?: Array<Having>,\n  selectClause?: Select,\n  fnHavingClauses?: Array<(row: any) => any>\n): NamespacedAndKeyedStream {\n  // Handle empty GROUP BY (single-group aggregation)\n  if (groupByClause.length === 0) {\n    // For single-group aggregation, create a single group with all data\n    const aggregates: Record<string, any> = {}\n\n    if (selectClause) {\n      // Scan the SELECT clause for aggregate functions\n      for (const [alias, expr] of Object.entries(selectClause)) {\n        if (expr.type === `agg`) {\n          const aggExpr = expr\n          aggregates[alias] = getAggregateFunction(aggExpr)\n        }\n      }\n    }\n\n    // Use a constant key for single group\n    const keyExtractor = () => ({ __singleGroup: true })\n\n    // Apply the groupBy operator with single group\n    pipeline = pipeline.pipe(\n      groupBy(keyExtractor, aggregates)\n    ) as NamespacedAndKeyedStream\n\n    // Update __select_results to include aggregate values\n    pipeline = pipeline.pipe(\n      map(([, aggregatedRow]) => {\n        // Start with the existing __select_results from early SELECT processing\n        const selectResults = (aggregatedRow as any).__select_results || {}\n        const finalResults: Record<string, any> = { ...selectResults }\n\n        if (selectClause) {\n          // Update with aggregate results\n          for (const [alias, expr] of Object.entries(selectClause)) {\n            if (expr.type === `agg`) {\n              finalResults[alias] = aggregatedRow[alias]\n            }\n            // Non-aggregates keep their original values from early SELECT processing\n          }\n        }\n\n        // Use a single key for the result and update __select_results\n        return [\n          `single_group`,\n          {\n            ...aggregatedRow,\n            __select_results: finalResults,\n          },\n        ] as [unknown, Record<string, any>]\n      })\n    )\n\n    // Apply HAVING clauses if present\n    if (havingClauses && havingClauses.length > 0) {\n      for (const havingClause of havingClauses) {\n        const transformedHavingClause = transformHavingClause(\n          havingClause,\n          selectClause || {}\n        )\n        const compiledHaving = compileExpression(transformedHavingClause)\n\n        pipeline = pipeline.pipe(\n          filter(([, row]) => {\n            // Create a namespaced row structure for HAVING evaluation\n            const namespacedRow = { result: (row as any).__select_results }\n            return compiledHaving(namespacedRow)\n          })\n        )\n      }\n    }\n\n    // Apply functional HAVING clauses if present\n    if (fnHavingClauses && fnHavingClauses.length > 0) {\n      for (const fnHaving of fnHavingClauses) {\n        pipeline = pipeline.pipe(\n          filter(([, row]) => {\n            // Create a namespaced row structure for functional HAVING evaluation\n            const namespacedRow = { result: (row as any).__select_results }\n            return fnHaving(namespacedRow)\n          })\n        )\n      }\n    }\n\n    return pipeline\n  }\n\n  // Multi-group aggregation logic...\n  // Validate and create mapping for non-aggregate expressions in SELECT\n  const mapping = validateAndCreateMapping(groupByClause, selectClause)\n\n  // Pre-compile groupBy expressions\n  const compiledGroupByExpressions = groupByClause.map(compileExpression)\n\n  // Create a key extractor function using simple __key_X format\n  const keyExtractor = ([, row]: [\n    string,\n    NamespacedRow & { __select_results?: any },\n  ]) => {\n    // Use the original namespaced row for GROUP BY expressions, not __select_results\n    const namespacedRow = { ...row }\n    delete (namespacedRow as any).__select_results\n\n    const key: Record<string, unknown> = {}\n\n    // Use simple __key_X format for each groupBy expression\n    for (let i = 0; i < groupByClause.length; i++) {\n      const compiledExpr = compiledGroupByExpressions[i]!\n      const value = compiledExpr(namespacedRow)\n      key[`__key_${i}`] = value\n    }\n\n    return key\n  }\n\n  // Create aggregate functions for any aggregated columns in the SELECT clause\n  const aggregates: Record<string, any> = {}\n\n  if (selectClause) {\n    // Scan the SELECT clause for aggregate functions\n    for (const [alias, expr] of Object.entries(selectClause)) {\n      if (expr.type === `agg`) {\n        const aggExpr = expr\n        aggregates[alias] = getAggregateFunction(aggExpr)\n      }\n    }\n  }\n\n  // Apply the groupBy operator\n  pipeline = pipeline.pipe(groupBy(keyExtractor, aggregates))\n\n  // Update __select_results to handle GROUP BY results\n  pipeline = pipeline.pipe(\n    map(([, aggregatedRow]) => {\n      // Start with the existing __select_results from early SELECT processing\n      const selectResults = (aggregatedRow as any).__select_results || {}\n      const finalResults: Record<string, any> = {}\n\n      if (selectClause) {\n        // Process each SELECT expression\n        for (const [alias, expr] of Object.entries(selectClause)) {\n          if (expr.type !== `agg`) {\n            // Use cached mapping to get the corresponding __key_X for non-aggregates\n            const groupIndex = mapping.selectToGroupByIndex.get(alias)\n            if (groupIndex !== undefined) {\n              finalResults[alias] = aggregatedRow[`__key_${groupIndex}`]\n            } else {\n              // Fallback to original SELECT results\n              finalResults[alias] = selectResults[alias]\n            }\n          } else {\n            // Use aggregate results\n            finalResults[alias] = aggregatedRow[alias]\n          }\n        }\n      } else {\n        // No SELECT clause - just use the group keys\n        for (let i = 0; i < groupByClause.length; i++) {\n          finalResults[`__key_${i}`] = aggregatedRow[`__key_${i}`]\n        }\n      }\n\n      // Generate a simple key for the live collection using group values\n      let finalKey: unknown\n      if (groupByClause.length === 1) {\n        finalKey = aggregatedRow[`__key_0`]\n      } else {\n        const keyParts: Array<unknown> = []\n        for (let i = 0; i < groupByClause.length; i++) {\n          keyParts.push(aggregatedRow[`__key_${i}`])\n        }\n        finalKey = JSON.stringify(keyParts)\n      }\n\n      return [\n        finalKey,\n        {\n          ...aggregatedRow,\n          __select_results: finalResults,\n        },\n      ] as [unknown, Record<string, any>]\n    })\n  )\n\n  // Apply HAVING clauses if present\n  if (havingClauses && havingClauses.length > 0) {\n    for (const havingClause of havingClauses) {\n      const transformedHavingClause = transformHavingClause(\n        havingClause,\n        selectClause || {}\n      )\n      const compiledHaving = compileExpression(transformedHavingClause)\n\n      pipeline = pipeline.pipe(\n        filter(([, row]) => {\n          // Create a namespaced row structure for HAVING evaluation\n          const namespacedRow = { result: (row as any).__select_results }\n          return compiledHaving(namespacedRow)\n        })\n      )\n    }\n  }\n\n  // Apply functional HAVING clauses if present\n  if (fnHavingClauses && fnHavingClauses.length > 0) {\n    for (const fnHaving of fnHavingClauses) {\n      pipeline = pipeline.pipe(\n        filter(([, row]) => {\n          // Create a namespaced row structure for functional HAVING evaluation\n          const namespacedRow = { result: (row as any).__select_results }\n          return fnHaving(namespacedRow)\n        })\n      )\n    }\n  }\n\n  return pipeline\n}\n\n/**\n * Helper function to check if two expressions are equal\n */\nfunction expressionsEqual(expr1: any, expr2: any): boolean {\n  if (!expr1 || !expr2) return false\n  if (expr1.type !== expr2.type) return false\n\n  switch (expr1.type) {\n    case `ref`:\n      // Compare paths as arrays\n      if (!expr1.path || !expr2.path) return false\n      if (expr1.path.length !== expr2.path.length) return false\n      return expr1.path.every(\n        (segment: string, i: number) => segment === expr2.path[i]\n      )\n    case `val`:\n      return expr1.value === expr2.value\n    case `func`:\n      return (\n        expr1.name === expr2.name &&\n        expr1.args?.length === expr2.args?.length &&\n        (expr1.args || []).every((arg: any, i: number) =>\n          expressionsEqual(arg, expr2.args[i])\n        )\n      )\n    case `agg`:\n      return (\n        expr1.name === expr2.name &&\n        expr1.args?.length === expr2.args?.length &&\n        (expr1.args || []).every((arg: any, i: number) =>\n          expressionsEqual(arg, expr2.args[i])\n        )\n      )\n    default:\n      return false\n  }\n}\n\n/**\n * Helper function to get an aggregate function based on the Agg expression\n */\nfunction getAggregateFunction(aggExpr: Aggregate) {\n  // Pre-compile the value extractor expression\n  const compiledExpr = compileExpression(aggExpr.args[0]!)\n\n  // Create a value extractor function for the expression to aggregate\n  const valueExtractor = ([, namespacedRow]: [string, NamespacedRow]) => {\n    const value = compiledExpr(namespacedRow)\n    // Ensure we return a number for numeric aggregate functions\n    return typeof value === `number` ? value : value != null ? Number(value) : 0\n  }\n\n  // Return the appropriate aggregate function\n  switch (aggExpr.name.toLowerCase()) {\n    case `sum`:\n      return sum(valueExtractor)\n    case `count`:\n      return count() // count() doesn't need a value extractor\n    case `avg`:\n      return avg(valueExtractor)\n    case `min`:\n      return min(valueExtractor)\n    case `max`:\n      return max(valueExtractor)\n    default:\n      throw new UnsupportedAggregateFunctionError(aggExpr.name)\n  }\n}\n\n/**\n * Transforms a HAVING clause to replace Agg expressions with references to computed values\n */\nfunction transformHavingClause(\n  havingExpr: BasicExpression | Aggregate,\n  selectClause: Select\n): BasicExpression {\n  switch (havingExpr.type) {\n    case `agg`: {\n      const aggExpr = havingExpr\n      // Find matching aggregate in SELECT clause\n      for (const [alias, selectExpr] of Object.entries(selectClause)) {\n        if (selectExpr.type === `agg` && aggregatesEqual(aggExpr, selectExpr)) {\n          // Replace with a reference to the computed aggregate\n          return new PropRef([`result`, alias])\n        }\n      }\n      // If no matching aggregate found in SELECT, throw error\n      throw new AggregateFunctionNotInSelectError(aggExpr.name)\n    }\n\n    case `func`: {\n      const funcExpr = havingExpr\n      // Transform function arguments recursively\n      const transformedArgs = funcExpr.args.map(\n        (arg: BasicExpression | Aggregate) =>\n          transformHavingClause(arg, selectClause)\n      )\n      return new Func(funcExpr.name, transformedArgs)\n    }\n\n    case `ref`: {\n      const refExpr = havingExpr\n      // Check if this is a direct reference to a SELECT alias\n      if (refExpr.path.length === 1) {\n        const alias = refExpr.path[0]!\n        if (selectClause[alias]) {\n          // This is a reference to a SELECT alias, convert to result.alias\n          return new PropRef([`result`, alias])\n        }\n      }\n      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