@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 {\n  filter,\n  groupBy,\n  groupByOperators,\n  map,\n  serializeValue,\n} from '@tanstack/db-ivm'\nimport { Func, PropRef, getHavingExpression, isExpressionLike } from '../ir.js'\nimport {\n  AggregateFunctionNotInSelectError,\n  NonAggregateExpressionNotInGroupByError,\n  UnknownHavingExpressionTypeError,\n  UnsupportedAggregateFunctionError,\n} from '../../errors.js'\nimport { compileExpression, toBooleanPredicate } 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` || containsAggregate(expr)) {\n      // Aggregate expressions (plain or wrapped) 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 $selected 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    // Expressions that wrap aggregates (e.g. coalesce(count(...), 0)).\n    // Keys are the original SELECT aliases; values are pre-compiled evaluators\n    // over the transformed (aggregate-free) expression.\n    const wrappedAggExprs: Record<string, (data: any) => any> = {}\n    const aggCounter = { value: 0 }\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          aggregates[alias] = getAggregateFunction(expr)\n        } else if (containsAggregate(expr)) {\n          const { transformed, extracted } = extractAndReplaceAggregates(\n            expr as BasicExpression | Aggregate,\n            aggCounter,\n          )\n          for (const [syntheticAlias, aggExpr] of Object.entries(extracted)) {\n            aggregates[syntheticAlias] = getAggregateFunction(aggExpr)\n          }\n          wrappedAggExprs[alias] = compileExpression(transformed)\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 $selected to include aggregate values\n    pipeline = pipeline.pipe(\n      map(([, aggregatedRow]) => {\n        // Start with the existing $selected from early SELECT processing\n        const selectResults = (aggregatedRow as any).$selected || {}\n        const finalResults: Record<string, any> = { ...selectResults }\n\n        if (selectClause) {\n          // First pass: populate plain aggregate results and synthetic aliases\n          for (const [alias, expr] of Object.entries(selectClause)) {\n            if (expr.type === `agg`) {\n              finalResults[alias] = aggregatedRow[alias]\n            }\n          }\n          evaluateWrappedAggregates(\n            finalResults,\n            aggregatedRow as Record<string, any>,\n            wrappedAggExprs,\n          )\n        }\n\n        // Use a single key for the result and update $selected\n        return [\n          `single_group`,\n          {\n            ...aggregatedRow,\n            $selected: finalResults,\n          },\n        ] as [unknown, Record<string, any>]\n      }),\n    )\n\n    // Apply HAVING clauses if present\n    if (havingClauses && havingClauses.length > 0) {\n      for (const havingClause of havingClauses) {\n        const havingExpression = getHavingExpression(havingClause)\n        const transformedHavingClause = replaceAggregatesByRefs(\n          havingExpression,\n          selectClause || {},\n          `$selected`,\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 = { $selected: (row as any).$selected }\n            return toBooleanPredicate(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 = { $selected: (row as any).$selected }\n            return toBooleanPredicate(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((e) =>\n    compileExpression(e),\n  )\n\n  // Create a key extractor function using simple __key_X format\n  const keyExtractor = ([, row]: [\n    string,\n    NamespacedRow & { $selected?: any },\n  ]) => {\n    // Use the original namespaced row for GROUP BY expressions, not $selected\n    const namespacedRow = { ...row }\n    delete (namespacedRow as any).$selected\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  const wrappedAggExprs: Record<string, (data: any) => any> = {}\n  const aggCounter = { value: 0 }\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        aggregates[alias] = getAggregateFunction(expr)\n      } else if (containsAggregate(expr)) {\n        const { transformed, extracted } = extractAndReplaceAggregates(\n          expr as BasicExpression | Aggregate,\n          aggCounter,\n        )\n        for (const [syntheticAlias, aggExpr] of Object.entries(extracted)) {\n          aggregates[syntheticAlias] = getAggregateFunction(aggExpr)\n        }\n        wrappedAggExprs[alias] = compileExpression(transformed)\n      }\n    }\n  }\n\n  // Apply the groupBy operator\n  pipeline = pipeline.pipe(groupBy(keyExtractor, aggregates))\n\n  // Update $selected to handle GROUP BY results\n  pipeline = pipeline.pipe(\n    map(([, aggregatedRow]) => {\n      // Start with the existing $selected from early SELECT processing\n      const selectResults = (aggregatedRow as any).$selected || {}\n      const finalResults: Record<string, any> = {}\n\n      if (selectClause) {\n        // First pass: populate group keys, plain aggregates, and synthetic aliases\n        for (const [alias, expr] of Object.entries(selectClause)) {\n          if (expr.type === `agg`) {\n            finalResults[alias] = aggregatedRow[alias]\n          } else if (!wrappedAggExprs[alias]) {\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_${groupIndex}`]\n            } else {\n              // Fallback to original SELECT results\n              finalResults[alias] = selectResults[alias]\n            }\n          }\n        }\n        evaluateWrappedAggregates(\n          finalResults,\n          aggregatedRow as Record<string, any>,\n          wrappedAggExprs,\n        )\n      } else {\n        // No SELECT clause - just use the group keys\n        for (let i = 0; i < groupByClause.length; i++) {\n          finalResults[`__key_${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 = serializeValue(keyParts)\n      }\n\n      return [\n        finalKey,\n        {\n          ...aggregatedRow,\n          $selected: 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 havingExpression = getHavingExpression(havingClause)\n      const transformedHavingClause = replaceAggregatesByRefs(\n        havingExpression,\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 = { $selected: (row as any).$selected }\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 = { $selected: (row as any).$selected }\n          return toBooleanPredicate(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    if (typeof value === `number`) {\n      return value\n    }\n    return value != null ? Number(value) : 0\n  }\n\n  // Create a value extractor function for min/max that preserves comparable types\n  const valueExtractorForMinMax = ([, namespacedRow]: [\n    string,\n    NamespacedRow,\n  ]) => {\n    const value = compiledExpr(namespacedRow)\n    // Preserve strings, numbers, Dates, and bigints for comparison\n    if (\n      typeof value === `number` ||\n      typeof value === `string` ||\n      typeof value === `bigint` ||\n      value instanceof Date\n    ) {\n      return value\n    }\n    return value != null ? Number(value) : 0\n  }\n\n  // Create a raw value extractor function for the expression to aggregate\n  const rawValueExtractor = ([, namespacedRow]: [string, NamespacedRow]) => {\n    return compiledExpr(namespacedRow)\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(rawValueExtractor)\n    case `avg`:\n      return avg(valueExtractor)\n    case `min`:\n      return min(valueExtractorForMinMax)\n    case `max`:\n      return max(valueExtractorForMinMax)\n    default:\n      throw new UnsupportedAggregateFunctionError(aggExpr.name)\n  }\n}\n\n/**\n * Transforms expressions to replace aggregate functions with references to computed values.\n *\n * For aggregate expressions, finds matching aggregates in the SELECT clause and replaces them\n * with PropRef([resultAlias, alias]) to reference the computed aggregate value.\n *\n * Ref expressions (table columns and $selected fields) and value expressions are passed through unchanged.\n * Function expressions are recursively transformed.\n *\n * @param havingExpr - The expression to transform (can be aggregate, ref, func, or val)\n * @param selectClause - The SELECT clause containing aliases and aggregate definitions\n * @param resultAlias - The namespace alias for SELECT results (default: '$selected')\n * @returns A transformed BasicExpression that references computed values instead of raw expressions\n */\nexport function replaceAggregatesByRefs(\n  havingExpr: BasicExpression | Aggregate,\n  selectClause: Select,\n  resultAlias: string = `$selected`,\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([resultAlias, 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          replaceAggregatesByRefs(arg, selectClause),\n      )\n      return new Func(funcExpr.name, transformedArgs)\n    }\n\n    case `ref`:\n      // Ref expressions are passed through unchanged - they reference either:\n      // - $selected fields (which are already in the correct namespace)\n      // - Table column references (which remain valid)\n      return havingExpr as BasicExpression\n\n    case `val`:\n      // Return as-is\n      return havingExpr as BasicExpression\n\n    default:\n      throw new UnknownHavingExpressionTypeError((havingExpr as any).type)\n  }\n}\n\n/**\n * Evaluates wrapped-aggregate expressions against the aggregated row.\n * Copies synthetic __agg_N values into finalResults so the compiled wrapper\n * expressions can reference them, evaluates each wrapper, then removes the\n * synthetic keys so they don't leak onto user-visible result rows.\n */\nfunction evaluateWrappedAggregates(\n  finalResults: Record<string, any>,\n  aggregatedRow: Record<string, any>,\n  wrappedAggExprs: Record<string, (data: any) => any>,\n): void {\n  for (const key of Object.keys(aggregatedRow)) {\n    if (key.startsWith(`__agg_`)) {\n      finalResults[key] = aggregatedRow[key]\n    }\n  }\n  for (const [alias, evaluator] of Object.entries(wrappedAggExprs)) {\n    finalResults[alias] = evaluator({ $selected: finalResults })\n  }\n  for (const key of Object.keys(finalResults)) {\n    if (key.startsWith(`__agg_`)) delete finalResults[key]\n  }\n}\n\n/**\n * Checks whether an expression contains an aggregate anywhere in its tree.\n * Returns true for a top-level Aggregate, or a Func whose args (recursively)\n * contain an Aggregate. Safely returns false for nested Select objects.\n */\nexport function containsAggregate(\n  expr: BasicExpression | Aggregate | Select,\n): boolean {\n  if (!isExpressionLike(expr)) {\n    return false\n  }\n  if (expr.type === `agg`) {\n    return true\n  }\n  if (expr.type === `func`) {\n    return expr.args.some((arg: BasicExpression | Aggregate) =>\n      containsAggregate(arg),\n    )\n  }\n  return false\n}\n\n/**\n * Walks an expression tree containing nested aggregates.\n * Each Aggregate node is extracted, assigned a synthetic alias (__agg_N),\n * and replaced with PropRef([\"$selected\", \"__agg_N\"]) so the wrapper\n * expression can be compiled as a pure BasicExpression after groupBy\n * populates the synthetic values.\n */\nfunction extractAndReplaceAggregates(\n  expr: BasicExpression | Aggregate,\n  counter: { value: number },\n): {\n  transformed: BasicExpression\n  extracted: Record<string, Aggregate>\n} {\n  if (expr.type === `agg`) {\n    const alias = `__agg_${counter.value++}`\n    return {\n      transformed: new PropRef([`$selected`, alias]),\n      extracted: { [alias]: expr },\n    }\n  }\n\n  if (expr.type === `func`) {\n    const allExtracted: Record<string, Aggregate> = {}\n    const newArgs = expr.args.map((arg: BasicExpression | Aggregate) => {\n      const result = extractAndReplaceAggregates(arg, counter)\n      Object.assign(allExtracted, result.extracted)\n      return result.transformed\n    })\n    return {\n      transformed: new Func(expr.name, newArgs),\n      extracted: allExtracted,\n    }\n  }\n\n  // ref / val – pass through unchanged\n  return { transformed: expr as BasicExpression, extracted: {} }\n}\n\n/**\n * Checks if two aggregate expressions are equal\n */\nfunction aggregatesEqual(agg1: Aggregate, agg2: Aggregate): boolean {\n  return (\n    agg1.name === agg2.name &&\n    agg1.args.length === agg2.args.length &&\n    agg1.args.every((arg, i) => expressionsEqual(arg, agg2.args[i]))\n  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