Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 | 276x 2024x 2024x 2024x 2024x 2024x 2024x 2483x 2024x 2768x 2768x 2768x 2678x 2678x 27x 27x 54x 27x 27x 57x 57x 57x 57x 57x 6x 9x 2651x 2024x 2801x 2801x 2801x 2711x 2711x 2678x 27x 33x 6x 2024x 2678x 2678x 2678x 2678x 2708x 2024x 27x 27x 33x 33x 33x 36x 2024x 1718x 1718x 1718x 681x 801x 801x 801x 801x 801x 801x 1718x 1715x 1715x 2279x 2279x 2279x 2279x 1718x 303x 324x 324x 324x 324x 324x 324x 1718x 1718x 42x 42x 42x 42x 6x 6x 6x 6x 12x 12x 12x 12x 12x 12x 12x 12x 12x 12x 6x 81x 48x 48x 45x 45x 45x 33x 12x 36x 2819x 2819x 2819x 2819x 114x 114x 114x 114x 114x 114x 114x 2819x 507x 1211x 648x 336x 18x 24x 75x 717x 717x 12x 705x 2027x 2027x 2027x 1046x 1116x 1116x 810x 2017x 369x 402x 402x 402x 213x 60x 60x 30x 183x 183x 183x 183x 177x 2017x 1708x 1708x 1708x 889x 932x 932x 81x 1708x 5087x 1410x 1410x 843x 1779x 1779x 843x 567x 567x 1260x 1260x 567x 3677x 3677x 3677x 3677x 3563x 3563x 3563x 5087x 3563x 1728x 309x 309x 90x 1638x 1638x 1728x 1835x 126x 1709x 81x 81x 1628x 1719x 102x 6x 96x 3x 93x 1617x 63x 6x 57x 1554x 99348x 99321x 99318x 1554x 18x 12x 6x 1535x 1535x 462x 17x 17x 445x 445x 445x 9x 9x 9x 114x 6x 12x 6x 129x 54x 171x 12x 78x 63x 63x 63x 48x 48x 45x 45x 45x 45x 15x 30x 48x 30x 39x 39x 39x 30x 30x 27x 3x 120x 114x 6x 6x 6x 117x 117x 36x 36x 81x 18x 6x 6x 3x 7x 3x 4x 7x 5x 2x 3x 1x 2x 3x 315x 315x 135x 135x 135x 135x 135x 135x 135x 135x 45x 90x 135x 180x 180x 180x 156x 52x 52x 52x 104x 104x 156x 24x 24x 18x 180x 180x 180x 180x 180x 6x 6x 6x 12x 12x 18x 180x 180x 180x 180x 180x 180x 180x 9x 9x 9x 9x 9x 171x 6x 6x 6x 6x 6x 6x 6x 165x 6x 6x 6x 6x 6x 6x 6x 6x 159x 15x 15x 15x 144x 6x 6x 6x 6x 138x 12x 12x 12x 126x 126x 36x 36x 36x 36x 36x 36x 36x 90x 90x 3x 3x 3x 3x 3x 3x 3x 3x 87x 6x 6x 6x 6x 6x 6x 6x 6x 81x 6x 6x 6x 75x 6x 6x 6x 6x 6x 6x 69x 12x 12x 12x 57x 15x 15x 15x 15x 42x 42x 9x 9x 9x 9x 9x 33x 33x 9x 9x 9x 9x 9x 24x 495x 495x 495x 495x 495x 447x 447x 441x 147x 294x 48x 48x 30x 10x 20x 1708x 1708x 1708x 3x 1705x 1708x 678x 795x 795x 795x 795x 795x 36x 36x 36x 36x 36x 759x 759x 759x 1705x 303x 324x 324x 324x 324x 324x 69x 69x 69x 69x 69x 255x 255x 255x 1705x 1708x 1708x 324x 1708x 204x 225x 3x 222x 225x 1705x 303x 303x 21x 303x 324x 240x 1705x 1606x 1606x 1606x 1603x 1606x 594x 714x 714x 714x 714x 714x 258x 1606x 1705x 1705x 3x 1705x 1705x 153x 3x 150x 1702x 51x 3x 48x 1699x | /**
* Shared Query Builder
* Contains all SQL building logic that was previously duplicated between executor and multi-cube-builder
* Single source of truth for all SQL generation
*/
import {
sql,
and,
or,
eq,
ne,
gt,
gte,
lt,
lte,
isNull,
isNotNull,
inArray,
notInArray,
count,
sum,
min,
max,
countDistinct,
asc,
desc,
SQL,
type AnyColumn,
arrayContains as drizzleArrayContains,
arrayContained as drizzleArrayContained,
arrayOverlaps as drizzleArrayOverlaps
} from 'drizzle-orm'
import type {
SemanticQuery,
FilterOperator,
Filter,
FilterCondition,
LogicalFilter,
TimeGranularity,
Cube,
QueryContext,
QueryPlan,
JoinKeyInfo
} from './types'
import { resolveSqlExpression } from './cube-utils'
import type { DatabaseAdapter } from './adapters/base-adapter'
import { CalculatedMeasureResolver } from './calculated-measure-resolver'
import { substituteTemplate, getMemberReferences, type ResolvedMeasures } from './template-substitution'
export class QueryBuilder {
constructor(private databaseAdapter: DatabaseAdapter) {}
/**
* Build resolvedMeasures map for a set of measures
* This centralizes the logic for building both regular and calculated measures
* in dependency order, avoiding duplication across main queries and CTEs
*
* @param measureNames - Array of measure names to resolve (e.g., ["Employees.count", "Employees.activePercentage"])
* @param cubeMap - Map of all cubes involved in the query
* @param context - Query context with database and security context
* @param customMeasureBuilder - Optional function to override how individual measures are built
* @returns Map of measure names to SQL builder functions
*/
buildResolvedMeasures(
measureNames: string[],
cubeMap: Map<string, Cube>,
context: QueryContext,
customMeasureBuilder?: (measureName: string, measure: any, cube: Cube) => SQL
): ResolvedMeasures {
const resolvedMeasures: ResolvedMeasures = new Map()
const regularMeasures: string[] = []
const calculatedMeasures: string[] = []
const allMeasuresToResolve = new Set<string>(measureNames)
// Build dependency graph
const resolver = new CalculatedMeasureResolver(cubeMap)
for (const cube of cubeMap.values()) {
resolver.buildGraph(cube)
}
// First pass: classify user-requested measures and collect dependencies
for (const measureName of measureNames) {
const [cubeName, fieldName] = measureName.split('.')
const cube = cubeMap.get(cubeName)
if (cube && cube.measures && cube.measures[fieldName]) {
const measure = cube.measures[fieldName]
if (CalculatedMeasureResolver.isCalculatedMeasure(measure)) {
calculatedMeasures.push(measureName)
// Add all dependencies to measures that need to be resolved
const deps = getMemberReferences(measure.calculatedSql!, cubeName)
deps.forEach(dep => allMeasuresToResolve.add(dep))
// Also add transitive calculated measure dependencies
const calculatedDeps = resolver.getAllDependencies(measureName)
calculatedDeps.forEach(dep => {
const [depCubeName, depFieldName] = dep.split('.')
const depCube = cubeMap.get(depCubeName)
Eif (depCube && depCube.measures[depFieldName]) {
const depMeasure = depCube.measures[depFieldName]
if (CalculatedMeasureResolver.isCalculatedMeasure(depMeasure)) {
const nestedDeps = getMemberReferences(depMeasure.calculatedSql!, depCubeName)
nestedDeps.forEach(nestedDep => allMeasuresToResolve.add(nestedDep))
}
}
})
} else {
regularMeasures.push(measureName)
}
}
}
// Second pass: classify all measures that need to be resolved (including dependencies)
for (const measureName of allMeasuresToResolve) {
const [cubeName, fieldName] = measureName.split('.')
const cube = cubeMap.get(cubeName)
if (cube && cube.measures && cube.measures[fieldName]) {
const measure = cube.measures[fieldName]
if (!CalculatedMeasureResolver.isCalculatedMeasure(measure)) {
if (!regularMeasures.includes(measureName)) {
regularMeasures.push(measureName)
}
} else {
if (!calculatedMeasures.includes(measureName)) {
calculatedMeasures.push(measureName)
}
}
}
}
// Build regular measures first
for (const measureName of regularMeasures) {
const [cubeName, fieldName] = measureName.split('.')
const cube = cubeMap.get(cubeName)!
const measure = cube.measures[fieldName]
// Use custom builder if provided, otherwise use default
Iif (customMeasureBuilder) {
const builtExpr = customMeasureBuilder(measureName, measure, cube)
resolvedMeasures.set(measureName, () => builtExpr)
} else {
// Store a FUNCTION that builds the SQL expression to avoid mutation issues
resolvedMeasures.set(measureName, () => this.buildMeasureExpression(measure, context))
}
}
// Build calculated measures in dependency order
if (calculatedMeasures.length > 0) {
const sortedCalculated = resolver.topologicalSort(calculatedMeasures)
for (const measureName of sortedCalculated) {
const [cubeName, fieldName] = measureName.split('.')
const cube = cubeMap.get(cubeName)!
const measure = cube.measures[fieldName]
// Store a FUNCTION that builds the calculated measure SQL
resolvedMeasures.set(measureName, () => this.buildCalculatedMeasure(
measure,
cube,
cubeMap,
resolvedMeasures,
context
))
}
}
return resolvedMeasures
}
/**
* Build dynamic selections for measures, dimensions, and time dimensions
* Works for both single and multi-cube queries
* Handles calculated measures with dependency resolution
*/
buildSelections(
cubes: Map<string, Cube> | Cube,
query: SemanticQuery,
context: QueryContext
): Record<string, SQL | AnyColumn> {
const selections: Record<string, SQL | AnyColumn> = {}
// Convert single cube to map for consistent handling
const cubeMap = cubes instanceof Map ? cubes : new Map([[cubes.name, cubes]])
// Add dimensions
if (query.dimensions) {
for (const dimensionName of query.dimensions) {
const [cubeName, fieldName] = dimensionName.split('.')
const cube = cubeMap.get(cubeName)
Eif (cube && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
const sqlExpr = resolveSqlExpression(dimension.sql, context)
// Use explicit alias for dimension expressions so they can be referenced in ORDER BY
selections[dimensionName] = sql`${sqlExpr}`.as(dimensionName) as unknown as SQL
}
}
}
// Add measures with aggregations using the centralized helper
if (query.measures) {
const resolvedMeasures = this.buildResolvedMeasures(
query.measures,
cubeMap,
context
)
// Add user-requested measures to selections
for (const measureName of query.measures) {
const measureBuilder = resolvedMeasures.get(measureName)
Eif (measureBuilder) {
const measureExpr = measureBuilder()
selections[measureName] = sql`${measureExpr}`.as(measureName) as unknown as SQL
}
}
}
// Add time dimensions with granularity
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [cubeName, fieldName] = timeDim.dimension.split('.')
const cube = cubeMap.get(cubeName)
Eif (cube && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
const timeExpr = this.buildTimeDimensionExpression(
dimension.sql,
timeDim.granularity,
context
)
// Use explicit alias for time dimension expressions so they can be referenced in ORDER BY
selections[timeDim.dimension] = sql`${timeExpr}`.as(timeDim.dimension) as unknown as SQL
}
}
}
// Default to COUNT(*) if no selections
Iif (Object.keys(selections).length === 0) {
selections.count = count()
}
return selections
}
/**
* Build calculated measure expression by substituting {member} references
* with resolved SQL expressions
*/
public buildCalculatedMeasure(
measure: any,
cube: Cube,
allCubes: Map<string, Cube>,
resolvedMeasures: ResolvedMeasures,
context: QueryContext
): SQL {
Iif (!measure.calculatedSql) {
throw new Error(
`Calculated measure '${cube.name}.${measure.name}' missing calculatedSql property`
)
}
// Preprocess template for database-specific transformations (e.g., SQLite float division)
const preprocessedSql = this.databaseAdapter.preprocessCalculatedTemplate(measure.calculatedSql)
// Substitute {member} references with resolved SQL
const substitutedSql = substituteTemplate(preprocessedSql, {
cube,
allCubes,
resolvedMeasures,
queryContext: context
})
return substitutedSql
}
/**
* Build resolved measures map for a calculated measure from CTE columns
* This handles re-aggregating pre-aggregated CTE columns for calculated measures
*
* IMPORTANT: For calculated measures in CTEs, we cannot sum/avg pre-computed ratios.
* We must recalculate from the base measures that were pre-aggregated in the CTE.
*
* @param measure - The calculated measure to build
* @param cube - The cube containing this measure
* @param cteInfo - CTE metadata (alias, measures, cube reference)
* @param allCubes - Map of all cubes in the query
* @param context - Query context
* @returns SQL expression for the calculated measure using CTE column references
*/
public buildCTECalculatedMeasure(
measure: any,
cube: Cube,
cteInfo: { cteAlias: string; measures: string[]; cube: Cube },
allCubes: Map<string, Cube>,
context: QueryContext
): SQL {
Iif (!measure.calculatedSql) {
throw new Error(
`Calculated measure '${cube.name}.${measure.name || 'unknown'}' missing calculatedSql property`
)
}
// Build a resolvedMeasures map with CTE column references
const cteResolvedMeasures = new Map<string, () => SQL>()
// Get all dependencies for this calculated measure
const deps = getMemberReferences(measure.calculatedSql, cube.name)
for (const depMeasureName of deps) {
const [depCubeName, depFieldName] = depMeasureName.split('.')
const depCube = allCubes.get(depCubeName)
Eif (depCube && depCube.measures[depFieldName]) {
const depMeasure = depCube.measures[depFieldName]
// Check if this dependency is also in the CTE
Eif (cteInfo.measures.includes(depMeasureName)) {
// Reference the CTE column and apply appropriate aggregation
const cteDepColumn = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(depFieldName)}`
// Apply aggregation based on the dependency's type
// For pre-aggregated values in CTEs, we need to re-aggregate them properly:
// - count/sum values should be summed
// - avg values should be averaged (though ideally weighted average)
// - min/max values should take min/max
let aggregatedDep: SQL
switch (depMeasure.type) {
case 'count':
case 'countDistinct':
case 'sum':
aggregatedDep = sum(cteDepColumn)
break
case 'avg':
aggregatedDep = this.databaseAdapter.buildAvg(cteDepColumn)
break
case 'min':
aggregatedDep = min(cteDepColumn)
break
case 'max':
aggregatedDep = max(cteDepColumn)
break
case 'number':
aggregatedDep = sum(cteDepColumn)
break
default:
aggregatedDep = sum(cteDepColumn)
}
// Store the aggregated CTE column as a builder function
cteResolvedMeasures.set(depMeasureName, () => aggregatedDep)
}
}
}
// Re-apply the calculated measure template with CTE-based dependencies
return this.buildCalculatedMeasure(
measure,
cube,
allCubes,
cteResolvedMeasures,
context
)
}
/**
* Build measure expression for HAVING clause, handling CTE references correctly
*/
private buildHavingMeasureExpression(
cubeName: string,
fieldKey: string,
measure: any,
context: QueryContext,
queryPlan?: QueryPlan
): SQL {
// Check if this measure is from a CTE cube
if (queryPlan && queryPlan.preAggregationCTEs) {
const cteInfo = queryPlan.preAggregationCTEs.find(cte => cte.cube.name === cubeName)
if (cteInfo && cteInfo.measures.includes(`${cubeName}.${fieldKey}`)) {
// This measure is from a CTE - reference the CTE alias instead of the original table
Iif (measure.type === 'calculated' && measure.calculatedSql) {
// Get the cube for this measure
const cube = queryPlan.primaryCube.name === cubeName
? queryPlan.primaryCube
: queryPlan.joinCubes?.find(jc => jc.cube.name === cubeName)?.cube
if (!cube) {
throw new Error(`Cube ${cubeName} not found in query plan`)
}
// Build a cubeMap for the calculated measure builder
const cubeMap = new Map<string, Cube>([[queryPlan.primaryCube.name, queryPlan.primaryCube]])
if (queryPlan.joinCubes) {
for (const jc of queryPlan.joinCubes) {
cubeMap.set(jc.cube.name, jc.cube)
}
}
// Use the shared helper to build calculated measure from CTE columns
return this.buildCTECalculatedMeasure(
measure,
cube,
cteInfo,
cubeMap,
context
)
} else {
// For non-calculated measures, aggregate the CTE column directly
const cteColumn = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldKey)}`
// Apply aggregation function based on measure type
switch (measure.type) {
case 'count':
case 'countDistinct':
case 'sum':
return sum(cteColumn)
case 'avg':
// For average of averages, we should use a weighted average, but for now use simple avg
return this.databaseAdapter.buildAvg(cteColumn)
case 'min':
return min(cteColumn)
case 'max':
return max(cteColumn)
case 'number':
// For number type, use sum to combine values
return sum(cteColumn)
default:
return sum(cteColumn)
}
}
}
}
// Not from CTE - use regular measure expression
return this.buildMeasureExpression(measure, context)
}
/**
* Build measure expression with aggregation and filters
* Note: This should NOT be called for calculated measures
*/
buildMeasureExpression(
measure: any,
context: QueryContext
): SQL {
// Calculated measures should be built via buildCalculatedMeasure
Iif (measure.type === 'calculated') {
throw new Error(
`Cannot build calculated measure '${measure.name}' directly. ` +
`Use buildCalculatedMeasure instead.`
)
}
// Non-calculated measures must have sql property
Iif (!measure.sql) {
throw new Error(
`Measure '${measure.name}' of type '${measure.type}' is missing required 'sql' property. ` +
`Only calculated measures can omit 'sql'.`
)
}
// resolveSqlExpression already applies isolation via isolateSqlExpression()
// This protects against Drizzle SQL object mutation during reuse
let baseExpr = resolveSqlExpression(measure.sql, context)
// Apply measure filters if they exist
if (measure.filters && measure.filters.length > 0) {
const filterConditions = measure.filters.map((filter: (ctx: QueryContext) => SQL) => {
const filterResult = filter(context)
// Single wrap is OK here - we're creating fresh SQL for grouping in parentheses
// The filter function itself should handle isolation if needed
return filterResult ? sql`(${filterResult})` : undefined
}).filter(Boolean) // Remove any undefined conditions
Eif (filterConditions.length > 0) {
// Use CASE WHEN for conditional aggregation via adapter
const andCondition = filterConditions.length === 1 ? filterConditions[0] : and(...filterConditions)
const caseExpr = this.databaseAdapter.buildCaseWhen([
{ when: andCondition!, then: baseExpr }
])
baseExpr = caseExpr
}
}
// Apply aggregation function based on measure type
switch (measure.type) {
case 'count':
return count(baseExpr)
case 'countDistinct':
return countDistinct(baseExpr)
case 'sum':
return sum(baseExpr)
case 'avg':
return this.databaseAdapter.buildAvg(baseExpr)
case 'min':
return min(baseExpr)
case 'max':
return max(baseExpr)
case 'number':
return baseExpr as SQL
default:
return count(baseExpr)
}
}
/**
* Build time dimension expression with granularity using database adapter
*/
buildTimeDimensionExpression(
dimensionSql: any,
granularity: string | undefined,
context: QueryContext
): SQL {
const baseExpr = resolveSqlExpression(dimensionSql, context)
if (!granularity) {
// Ensure we return SQL even when no granularity is applied
return baseExpr instanceof SQL ? baseExpr : sql`${baseExpr}`
}
// Use database adapter for database-specific time dimension building
return this.databaseAdapter.buildTimeDimension(granularity as TimeGranularity, baseExpr)
}
/**
* Build WHERE conditions from semantic query filters (dimensions only)
* Works for both single and multi-cube queries
*/
buildWhereConditions(
cubes: Map<string, Cube> | Cube,
query: SemanticQuery,
context: QueryContext,
queryPlan?: QueryPlan
): SQL[] {
const conditions: SQL[] = []
// Convert single cube to map for consistent handling
const cubeMap = cubes instanceof Map ? cubes : new Map([[cubes.name, cubes]])
// Process regular filters (dimensions only for WHERE clause)
if (query.filters && query.filters.length > 0) {
for (const filter of query.filters) {
const condition = this.processFilter(filter, cubeMap, context, 'where', queryPlan)
if (condition) {
conditions.push(condition)
}
}
}
// Process time dimension date range filters
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [cubeName, fieldName] = timeDim.dimension.split('.')
const cube = cubeMap.get(cubeName)
if (cube && cube.dimensions[fieldName] && timeDim.dateRange) {
// Check if this cube is in a pre-aggregation CTE - if so, skip this filter in WHERE clause
// The time dimension filter will be applied within the CTE itself during pre-aggregation
if (queryPlan?.preAggregationCTEs) {
const isInCTE = queryPlan.preAggregationCTEs.some((cte: any) => cte.cube.name === cubeName)
if (isInCTE) {
continue // Skip this filter - it's handled in the CTE
}
}
const dimension = cube.dimensions[fieldName]
// Use the raw field expression for date filtering (not the truncated version)
// This ensures we filter on the actual timestamp values before aggregation
const fieldExpr = resolveSqlExpression(dimension.sql, context)
const dateCondition = this.buildDateRangeCondition(fieldExpr, timeDim.dateRange)
if (dateCondition) {
conditions.push(dateCondition)
}
}
}
}
return conditions
}
/**
* Build HAVING conditions from semantic query filters (measures only)
* Works for both single and multi-cube queries
*/
buildHavingConditions(
cubes: Map<string, Cube> | Cube,
query: SemanticQuery,
context: QueryContext,
queryPlan?: QueryPlan
): SQL[] {
const conditions: SQL[] = []
// Convert single cube to map for consistent handling
const cubeMap = cubes instanceof Map ? cubes : new Map([[cubes.name, cubes]])
// Process regular filters (measures only for HAVING clause)
if (query.filters && query.filters.length > 0) {
for (const filter of query.filters) {
const condition = this.processFilter(filter, cubeMap, context, 'having', queryPlan)
if (condition) {
conditions.push(condition)
}
}
}
return conditions
}
/**
* Process a single filter (basic or logical)
* @param filterType - 'where' for dimension filters, 'having' for measure filters
*/
private processFilter(
filter: Filter,
cubes: Map<string, Cube>,
context: QueryContext,
filterType: 'where' | 'having',
queryPlan?: QueryPlan
): SQL | null {
// Handle logical filters (AND/OR)
if ('and' in filter || 'or' in filter) {
const logicalFilter = filter as LogicalFilter
if (logicalFilter.and) {
const conditions = logicalFilter.and
.map(f => this.processFilter(f, cubes, context, filterType, queryPlan))
.filter((condition): condition is SQL => condition !== null)
return conditions.length > 0 ? and(...conditions) as SQL : null
}
Eif (logicalFilter.or) {
const conditions = logicalFilter.or
.map(f => this.processFilter(f, cubes, context, filterType, queryPlan))
.filter((condition): condition is SQL => condition !== null)
return conditions.length > 0 ? or(...conditions) as SQL : null
}
}
// Handle simple filter condition
const filterCondition = filter as FilterCondition
const [cubeName, fieldKey] = filterCondition.member.split('.')
const cube = cubes.get(cubeName)
if (!cube) return null
// Find the field in dimensions or measures
const dimension = cube.dimensions[fieldKey]
const measure = cube.measures[fieldKey]
const field = dimension || measure
Iif (!field) return null
// Apply filter based on type and what we're looking for
if (filterType === 'where' && dimension) {
// Check if this cube is in a pre-aggregation CTE - if so, skip this filter in WHERE clause
// The filter will be applied within the CTE itself
if (queryPlan?.preAggregationCTEs) {
const isInCTE = queryPlan.preAggregationCTEs.some((cte: any) => cte.cube.name === cubeName)
if (isInCTE) {
return null // Skip this filter - it's handled in the CTE
}
}
// For array operators, we need the raw column (not isolated SQL)
// because Drizzle's array functions need column type metadata for proper encoding
const isArrayOperator = ['arrayContains', 'arrayOverlaps', 'arrayContained'].includes(filterCondition.operator)
const fieldExpr = isArrayOperator
? (typeof dimension.sql === 'function' ? dimension.sql(context) : dimension.sql)
: resolveSqlExpression(dimension.sql, context)
return this.buildFilterCondition(
fieldExpr,
filterCondition.operator,
filterCondition.values,
field,
filterCondition.dateRange
)
} else if (filterType === 'where' && measure) {
// NEVER apply measure filters in WHERE clause - they should only be in HAVING
// This prevents incorrect behavior where measure filters are applied before aggregation
return null
} else if (filterType === 'having' && measure) {
// HAVING clause: use aggregated measure expression
// Check if this measure is from a CTE cube
const measureExpr = this.buildHavingMeasureExpression(cubeName, fieldKey, measure, context, queryPlan)
return this.buildFilterCondition(
measureExpr,
filterCondition.operator,
filterCondition.values,
field,
filterCondition.dateRange
)
}
// Skip if this filter doesn't match the type we're processing
return null
}
/**
* Build filter condition using Drizzle operators
*/
private buildFilterCondition(
fieldExpr: AnyColumn | SQL,
operator: FilterOperator,
values: any[],
field?: any,
dateRange?: string | string[]
): SQL | null {
// Handle dateRange for date filters
if (dateRange !== undefined) {
// Validate: dateRange only works with inDateRange operator
if (operator !== 'inDateRange') {
throw new Error(
`dateRange can only be used with 'inDateRange' operator, but got '${operator}'. ` +
`Use explicit date values in the 'values' array for other date operators.`
)
}
// Validate: field must be a time dimension
if (field && field.type !== 'time') {
throw new Error(
`dateRange can only be used on time dimensions, but field '${field.name || 'unknown'}' has type '${field.type}'`
)
}
// Use existing buildDateRangeCondition logic - dateRange takes precedence over values
return this.buildDateRangeCondition(fieldExpr, dateRange)
}
// Handle empty values
if (!values || values.length === 0) {
// For empty equals filter, return condition that matches nothing
if (operator === 'equals') {
return this.databaseAdapter.buildBooleanLiteral(false)
}
return null
}
// Filter out empty/null values and values containing null bytes for security
// For date operators, don't convert values yet - we'll normalize to Date first
const filteredValues = values.filter(v => {
if (v === null || v === undefined || v === '') return false
// Reject values containing null bytes for security
if (typeof v === 'string' && v.includes('\x00')) return false
return true
}).map(this.databaseAdapter.convertFilterValue)
// For certain operators, we need at least one non-empty value
if (filteredValues.length === 0 && !['set', 'notSet'].includes(operator)) {
// For empty equals filter, return condition that matches nothing
if (operator === 'equals') {
return this.databaseAdapter.buildBooleanLiteral(false)
}
return null
}
const value = filteredValues[0]
switch (operator) {
case 'equals':
if (filteredValues.length > 1) {
// For time-type fields, normalize all values
Iif (field?.type === 'time') {
const normalizedValues = filteredValues.map(v => this.normalizeDate(v) || v)
return inArray(fieldExpr as AnyColumn, normalizedValues)
}
return inArray(fieldExpr as AnyColumn, filteredValues)
E} else if (filteredValues.length === 1) {
// For time-type fields, normalize the single value
const finalValue = field?.type === 'time' ? this.normalizeDate(value) || value : value
return eq(fieldExpr as AnyColumn, finalValue)
}
return this.databaseAdapter.buildBooleanLiteral(false)
case 'notEquals':
Iif (filteredValues.length > 1) {
return notInArray(fieldExpr as AnyColumn, filteredValues)
E} else if (filteredValues.length === 1) {
return ne(fieldExpr as AnyColumn, value)
}
return null
case 'contains':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'contains', value)
case 'notContains':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'notContains', value)
case 'startsWith':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'startsWith', value)
case 'endsWith':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'endsWith', value)
case 'gt':
return gt(fieldExpr as AnyColumn, value)
case 'gte':
return gte(fieldExpr as AnyColumn, value)
case 'lt':
return lt(fieldExpr as AnyColumn, value)
case 'lte':
return lte(fieldExpr as AnyColumn, value)
case 'set':
return isNotNull(fieldExpr as AnyColumn)
case 'notSet':
return isNull(fieldExpr as AnyColumn)
case 'inDateRange':
if (filteredValues.length >= 2) {
const startDate = this.normalizeDate(filteredValues[0])
let endDate = this.normalizeDate(filteredValues[1])
if (startDate && endDate) {
// For date-only strings in original values, treat end date as end-of-day
// Check original values array (before filtering/conversion)
const originalEndValue = values[1]
if (typeof originalEndValue === 'string' && /^\d{4}-\d{2}-\d{2}$/.test(originalEndValue.trim())) {
const endDateObj = typeof endDate === 'number'
? new Date(endDate * (this.databaseAdapter.getEngineType() === 'sqlite' ? 1000 : 1))
: new Date(endDate)
const endOfDay = new Date(endDateObj)
endOfDay.setUTCHours(23, 59, 59, 999)
if (this.databaseAdapter.isTimestampInteger()) {
endDate = this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(endOfDay.getTime() / 1000)
: endOfDay.getTime()
} else {
// PostgreSQL and MySQL need ISO strings
endDate = endOfDay.toISOString()
}
}
return and(
gte(fieldExpr as AnyColumn, startDate),
lte(fieldExpr as AnyColumn, endDate)
) as SQL
}
}
return null
case 'beforeDate': {
const beforeValue = this.normalizeDate(value)
Eif (beforeValue) {
return lt(fieldExpr as AnyColumn, beforeValue)
}
return null
}
case 'afterDate': {
const afterValue = this.normalizeDate(value)
if (afterValue) {
return gt(fieldExpr as AnyColumn, afterValue)
}
return null
}
case 'between':
if (filteredValues.length >= 2) {
return and(
gte(fieldExpr as AnyColumn, filteredValues[0]),
lte(fieldExpr as AnyColumn, filteredValues[1])
) as SQL
}
return null
case 'notBetween':
Eif (filteredValues.length >= 2) {
return or(
lt(fieldExpr as AnyColumn, filteredValues[0]),
gt(fieldExpr as AnyColumn, filteredValues[1])
) as SQL
}
return null
case 'in':
Eif (filteredValues.length > 0) {
return inArray(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'notIn':
Eif (filteredValues.length > 0) {
return notInArray(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'like':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'like', value)
case 'notLike':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'notLike', value)
case 'ilike':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'ilike', value)
case 'regex':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'regex', value)
case 'notRegex':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'notRegex', value)
case 'isEmpty':
return or(
isNull(fieldExpr as AnyColumn),
eq(fieldExpr as AnyColumn, '')
) as SQL
case 'isNotEmpty':
return and(
isNotNull(fieldExpr as AnyColumn),
ne(fieldExpr as AnyColumn, '')
) as SQL
// PostgreSQL array operators - silent no-op for other databases
// These use Drizzle's built-in array operator functions
case 'arrayContains':
if (this.databaseAdapter.getEngineType() === 'postgres') {
return drizzleArrayContains(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'arrayOverlaps':
if (this.databaseAdapter.getEngineType() === 'postgres') {
return drizzleArrayOverlaps(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'arrayContained':
if (this.databaseAdapter.getEngineType() === 'postgres') {
return drizzleArrayContained(fieldExpr as AnyColumn, filteredValues)
}
return null
default:
return null
}
}
/**
* Build date range condition for time dimensions
*/
buildDateRangeCondition(
fieldExpr: AnyColumn | SQL,
dateRange: string | string[]
): SQL | null {
Iif (!dateRange) return null
// Handle array date range first
if (Array.isArray(dateRange) && dateRange.length >= 2) {
const startDate = this.normalizeDate(dateRange[0])
let endDate = this.normalizeDate(dateRange[1])
Iif (!startDate || !endDate) return null
// For date-only strings, treat end date as end-of-day (23:59:59.999)
// to include all records on that day
Eif (typeof dateRange[1] === 'string' && /^\d{4}-\d{2}-\d{2}$/.test(dateRange[1].trim())) {
const endDateObj = typeof endDate === 'number'
? new Date(endDate * (this.databaseAdapter.getEngineType() === 'sqlite' ? 1000 : 1))
: new Date(endDate)
const endOfDay = new Date(endDateObj)
endOfDay.setUTCHours(23, 59, 59, 999)
if (this.databaseAdapter.isTimestampInteger()) {
endDate = this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(endOfDay.getTime() / 1000)
: endOfDay.getTime()
} else {
// PostgreSQL and MySQL need ISO strings
endDate = endOfDay.toISOString()
}
}
return and(
gte(fieldExpr as AnyColumn, startDate),
lte(fieldExpr as AnyColumn, endDate)
) as SQL
}
// Handle string date range
Eif (typeof dateRange === 'string') {
// Handle relative date expressions
const relativeDates = this.parseRelativeDateRange(dateRange)
if (relativeDates) {
// Convert Date objects to appropriate format for the database
let start: string | number
let end: string | number
if (this.databaseAdapter.isTimestampInteger()) {
if (this.databaseAdapter.getEngineType() === 'sqlite') {
start = Math.floor(relativeDates.start.getTime() / 1000)
end = Math.floor(relativeDates.end.getTime() / 1000)
} else E{
start = relativeDates.start.getTime()
end = relativeDates.end.getTime()
}
} else {
// PostgreSQL and MySQL need ISO strings
start = relativeDates.start.toISOString()
end = relativeDates.end.toISOString()
}
return and(
gte(fieldExpr as AnyColumn, start),
lte(fieldExpr as AnyColumn, end)
) as SQL
}
// Handle absolute date (single date)
const normalizedDate = this.normalizeDate(dateRange)
if (!normalizedDate) return null
// For single date, create range for the whole day
// normalizedDate might be a timestamp (number) or ISO string depending on database
const dateObj = typeof normalizedDate === 'number'
? new Date(normalizedDate * (this.databaseAdapter.getEngineType() === 'sqlite' ? 1000 : 1))
: new Date(normalizedDate)
const startOfDay = new Date(dateObj)
startOfDay.setUTCHours(0, 0, 0, 0) // Ensure we start at midnight UTC
const endOfDay = new Date(dateObj)
endOfDay.setUTCHours(23, 59, 59, 999) // Ensure we end at 11:59:59.999 UTC
// Convert to appropriate format for the database
let startValue: string | number
let endValue: string | number
if (this.databaseAdapter.isTimestampInteger()) {
if (this.databaseAdapter.getEngineType() === 'sqlite') {
startValue = Math.floor(startOfDay.getTime() / 1000)
endValue = Math.floor(endOfDay.getTime() / 1000)
} else E{
startValue = startOfDay.getTime()
endValue = endOfDay.getTime()
}
} else {
// PostgreSQL and MySQL need ISO strings
startValue = startOfDay.toISOString()
endValue = endOfDay.toISOString()
}
return and(
gte(fieldExpr as AnyColumn, startValue),
lte(fieldExpr as AnyColumn, endValue)
) as SQL
}
return null
}
/**
* Parse relative date range expressions like "today", "yesterday", "last 7 days", "this month", etc.
* Handles all 14 DATE_RANGE_OPTIONS from the client
*/
private parseRelativeDateRange(dateRange: string): { start: Date; end: Date } | null {
const now = new Date()
const lowerRange = dateRange.toLowerCase().trim()
// Extract UTC date components for consistent calculations
const utcYear = now.getUTCFullYear()
const utcMonth = now.getUTCMonth()
const utcDate = now.getUTCDate()
const utcDay = now.getUTCDay()
// Handle "today"
if (lowerRange === 'today') {
const start = new Date(now)
start.setUTCHours(0, 0, 0, 0)
const end = new Date(now)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "yesterday"
if (lowerRange === 'yesterday') {
const start = new Date(now)
start.setUTCDate(utcDate - 1)
start.setUTCHours(0, 0, 0, 0)
const end = new Date(now)
end.setUTCDate(utcDate - 1)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "this week" (Monday to Sunday)
if (lowerRange === 'this week') {
const mondayOffset = utcDay === 0 ? -6 : 1 - utcDay // If Sunday, go back 6 days, otherwise go to Monday
const start = new Date(now)
start.setUTCDate(utcDate + mondayOffset)
start.setUTCHours(0, 0, 0, 0)
const end = new Date(start)
end.setUTCDate(start.getUTCDate() + 6) // Sunday
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "this month"
if (lowerRange === 'this month') {
const start = new Date(Date.UTC(utcYear, utcMonth, 1, 0, 0, 0, 0))
const end = new Date(Date.UTC(utcYear, utcMonth + 1, 0, 23, 59, 59, 999))
return { start, end }
}
// Handle "this quarter"
if (lowerRange === 'this quarter') {
const quarter = Math.floor(utcMonth / 3)
const start = new Date(Date.UTC(utcYear, quarter * 3, 1, 0, 0, 0, 0))
const end = new Date(Date.UTC(utcYear, quarter * 3 + 3, 0, 23, 59, 59, 999))
return { start, end }
}
// Handle "this year"
if (lowerRange === 'this year') {
const start = new Date(Date.UTC(utcYear, 0, 1, 0, 0, 0, 0))
const end = new Date(Date.UTC(utcYear, 11, 31, 23, 59, 59, 999))
return { start, end }
}
// Handle "last N days" pattern
const lastDaysMatch = lowerRange.match(/^last\s+(\d+)\s+days?$/)
if (lastDaysMatch) {
const days = parseInt(lastDaysMatch[1], 10)
const start = new Date(now)
start.setUTCDate(utcDate - days + 1) // Include today in the count
start.setUTCHours(0, 0, 0, 0)
const end = new Date(now)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "last N weeks" pattern
const lastWeeksMatch = lowerRange.match(/^last\s+(\d+)\s+weeks?$/)
if (lastWeeksMatch) {
const weeks = parseInt(lastWeeksMatch[1], 10)
const days = weeks * 7
const start = new Date(now)
start.setUTCDate(utcDate - days + 1) // Include today in the count
start.setUTCHours(0, 0, 0, 0)
const end = new Date(now)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "last week" (previous Monday to Sunday)
if (lowerRange === 'last week') {
const lastMondayOffset = utcDay === 0 ? -13 : -6 - utcDay // Go to previous Monday
const start = new Date(now)
start.setUTCDate(utcDate + lastMondayOffset)
start.setUTCHours(0, 0, 0, 0)
const end = new Date(start)
end.setUTCDate(start.getUTCDate() + 6) // Previous Sunday
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "last month"
if (lowerRange === 'last month') {
const start = new Date(Date.UTC(utcYear, utcMonth - 1, 1, 0, 0, 0, 0))
const end = new Date(Date.UTC(utcYear, utcMonth, 0, 23, 59, 59, 999))
return { start, end }
}
// Handle "last quarter"
if (lowerRange === 'last quarter') {
const currentQuarter = Math.floor(utcMonth / 3)
const lastQuarter = currentQuarter === 0 ? 3 : currentQuarter - 1
const year = currentQuarter === 0 ? utcYear - 1 : utcYear
const start = new Date(Date.UTC(year, lastQuarter * 3, 1, 0, 0, 0, 0))
const end = new Date(Date.UTC(year, lastQuarter * 3 + 3, 0, 23, 59, 59, 999))
return { start, end }
}
// Handle "last year"
if (lowerRange === 'last year') {
const start = new Date(Date.UTC(utcYear - 1, 0, 1, 0, 0, 0, 0))
const end = new Date(Date.UTC(utcYear - 1, 11, 31, 23, 59, 59, 999))
return { start, end }
}
// Handle "last 12 months" (rolling 12 months)
if (lowerRange === 'last 12 months') {
const start = new Date(Date.UTC(utcYear, utcMonth - 11, 1, 0, 0, 0, 0))
const end = new Date(now)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "last N months" pattern (legacy support)
const lastMonthsMatch = lowerRange.match(/^last\s+(\d+)\s+months?$/)
if (lastMonthsMatch) {
const months = parseInt(lastMonthsMatch[1], 10)
const start = new Date(Date.UTC(utcYear, utcMonth - months + 1, 1, 0, 0, 0, 0))
const end = new Date(now)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
// Handle "last N years" pattern (legacy support)
const lastYearsMatch = lowerRange.match(/^last\s+(\d+)\s+years?$/)
if (lastYearsMatch) {
const years = parseInt(lastYearsMatch[1], 10)
const start = new Date(Date.UTC(utcYear - years, 0, 1, 0, 0, 0, 0))
const end = new Date(now)
end.setUTCHours(23, 59, 59, 999)
return { start, end }
}
return null
}
/**
* Normalize date values to handle strings, numbers, and Date objects
* Returns ISO string for PostgreSQL/MySQL, Unix timestamp for SQLite, or null
* Ensures dates are in the correct format for each database engine
*/
private normalizeDate(value: any): string | number | null {
Iif (!value) return null
// If it's already a Date object, validate and convert to appropriate format
Iif (value instanceof Date) {
if (isNaN(value.getTime())) return null
// Return timestamp for integer-based databases, ISO string for others
// SQLite stores timestamps as Unix seconds (not milliseconds)
if (this.databaseAdapter.isTimestampInteger()) {
return this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(value.getTime() / 1000)
: value.getTime()
}
// PostgreSQL and MySQL need ISO strings, not Date objects
return value.toISOString()
}
// If it's a number, assume it's a timestamp
Iif (typeof value === 'number') {
// If it's a reasonable Unix timestamp in seconds (10 digits), convert to milliseconds
// Otherwise assume it's already in milliseconds
const timestamp = value < 10000000000 ? value * 1000 : value
const date = new Date(timestamp)
if (isNaN(date.getTime())) return null
// Return timestamp for integer-based databases, ISO string for others
// SQLite stores timestamps as Unix seconds (not milliseconds)
if (this.databaseAdapter.isTimestampInteger()) {
return this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(timestamp / 1000)
: timestamp
}
// PostgreSQL and MySQL need ISO strings, not Date objects
return date.toISOString()
}
// If it's a string, try to parse it as a Date
Eif (typeof value === 'string') {
// Check if it's a date-only string (YYYY-MM-DD format)
// Parse as UTC midnight to avoid timezone/DST issues
if (/^\d{4}-\d{2}-\d{2}$/.test(value.trim())) {
const parsed = new Date(value + 'T00:00:00Z')
if (isNaN(parsed.getTime())) return null
// Return timestamp for integer-based databases, ISO string for others
// SQLite stores timestamps as Unix seconds (not milliseconds)
if (this.databaseAdapter.isTimestampInteger()) {
return this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(parsed.getTime() / 1000)
: parsed.getTime()
}
// PostgreSQL and MySQL need ISO strings, not Date objects
return parsed.toISOString()
}
// For other formats (with time components), use default parsing
const parsed = new Date(value)
if (isNaN(parsed.getTime())) return null
// Return timestamp for integer-based databases, ISO string for others
// SQLite stores timestamps as Unix seconds (not milliseconds)
if (this.databaseAdapter.isTimestampInteger()) {
return this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(parsed.getTime() / 1000)
: parsed.getTime()
}
// PostgreSQL and MySQL need ISO strings, not Date objects
return parsed.toISOString()
}
// Try to parse any other type as date
const parsed = new Date(value)
if (isNaN(parsed.getTime())) return null
// Return timestamp for integer-based databases, ISO string for others
// SQLite stores timestamps as Unix seconds (not milliseconds)
if (this.databaseAdapter.isTimestampInteger()) {
return this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(parsed.getTime() / 1000)
: parsed.getTime()
}
// PostgreSQL and MySQL need ISO strings, not Date objects
return parsed.toISOString()
}
/**
* Build GROUP BY fields from dimensions and time dimensions
* Works for both single and multi-cube queries
*/
buildGroupByFields(
cubes: Map<string, Cube> | Cube,
query: SemanticQuery,
context: QueryContext,
queryPlan?: any // Optional QueryPlan for CTE handling
): (SQL | AnyColumn)[] {
const groupFields: (SQL | AnyColumn)[] = []
// Only add GROUP BY if we have measures (aggregations)
const hasMeasures = query.measures && query.measures.length > 0
if (!hasMeasures) {
return []
}
// Convert single cube to map for consistent handling
const cubeMap = cubes instanceof Map ? cubes : new Map([[cubes.name, cubes]])
// Add dimensions to GROUP BY
if (query.dimensions) {
for (const dimensionName of query.dimensions) {
const [cubeName, fieldName] = dimensionName.split('.')
const cube = cubeMap.get(cubeName)
Eif (cube && cube.dimensions && cube.dimensions[fieldName]) {
// Check if this dimension is from a CTE cube
const isFromCTE = queryPlan?.preAggregationCTEs?.some((cte: any) => cte.cube.name === cubeName)
if (isFromCTE) {
// For dimensions from CTE cubes, check if this is a join key that maps to the main table
const cteInfo = queryPlan.preAggregationCTEs.find((cte: any) => cte.cube.name === cubeName)
const matchingJoinKey = cteInfo.joinKeys.find((jk: JoinKeyInfo) => jk.targetColumn === fieldName)
Iif (matchingJoinKey && matchingJoinKey.sourceColumnObj) {
// Use the source column from the main table for GROUP BY instead of the CTE dimension
groupFields.push(matchingJoinKey.sourceColumnObj)
} else {
// This dimension from CTE cube is not a join key - we need to reference it from the CTE
// But only if it was included in the CTE selections
const cteDimensionExpr = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`
groupFields.push(cteDimensionExpr)
}
} else {
// Regular dimension from non-CTE cube
const dimension = cube.dimensions[fieldName]
const dimensionExpr = resolveSqlExpression(dimension.sql, context)
groupFields.push(dimensionExpr)
}
}
}
}
// Add time dimensions to GROUP BY
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [cubeName, fieldName] = timeDim.dimension.split('.')
const cube = cubeMap.get(cubeName)
Eif (cube && cube.dimensions && cube.dimensions[fieldName]) {
// Check if this time dimension is from a CTE cube
const isFromCTE = queryPlan?.preAggregationCTEs?.some((cte: any) => cte.cube.name === cubeName)
if (isFromCTE) {
// For time dimensions from CTE cubes, check if this is a join key that maps to the main table
const cteInfo = queryPlan.preAggregationCTEs.find((cte: any) => cte.cube.name === cubeName)
const matchingJoinKey = cteInfo.joinKeys.find((jk: JoinKeyInfo) => jk.targetColumn === fieldName)
Iif (matchingJoinKey && matchingJoinKey.sourceColumnObj) {
// Use the source column from the main table for GROUP BY with time granularity
// const dimension = cube.dimensions[fieldName] // Unused
const timeExpr = this.buildTimeDimensionExpression(
matchingJoinKey.sourceColumnObj,
timeDim.granularity,
context
)
groupFields.push(timeExpr)
} else {
// This time dimension from CTE cube is not a join key - reference it from the CTE
// The CTE already has the time dimension expression applied, so just reference the column
const cteDimensionExpr = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`
groupFields.push(cteDimensionExpr)
}
} else {
// Regular time dimension from non-CTE cube
const dimension = cube.dimensions[fieldName]
const timeExpr = this.buildTimeDimensionExpression(
dimension.sql,
timeDim.granularity,
context
)
groupFields.push(timeExpr)
}
}
}
}
// Note: We used to add join keys from CTEs to GROUP BY, but this is unnecessary
// Join keys are only needed for the JOIN condition, not for grouping
// The GROUP BY should only contain columns that are actually selected or used for aggregation
return groupFields
}
/**
* Build ORDER BY clause with automatic time dimension sorting
*/
buildOrderBy(query: SemanticQuery, selectedFields?: string[]): SQL[] {
const orderClauses: SQL[] = []
// Get all selected fields (measures + dimensions + timeDimensions)
const allSelectedFields = selectedFields || [
...(query.measures || []),
...(query.dimensions || []),
...(query.timeDimensions?.map(td => td.dimension) || [])
]
// First, add explicit ordering from query.order
if (query.order && Object.keys(query.order).length > 0) {
for (const [field, direction] of Object.entries(query.order)) {
// Validate that the field exists in the selected fields
if (!allSelectedFields.includes(field)) {
throw new Error(`Cannot order by '${field}': field is not selected in the query`)
}
// Use Drizzle's built-in asc/desc functions for proper ordering
const orderClause = direction === 'desc' ? desc(sql.identifier(field)) : asc(sql.identifier(field))
orderClauses.push(orderClause)
}
}
// Then, automatically add time dimension sorting for any time dimensions not explicitly ordered
if (query.timeDimensions && query.timeDimensions.length > 0) {
const explicitlyOrderedFields = new Set(Object.keys(query.order || {}))
// Sort time dimensions by their dimension name to ensure consistent ordering
const sortedTimeDimensions = [...query.timeDimensions].sort((a, b) =>
a.dimension.localeCompare(b.dimension)
)
for (const timeDim of sortedTimeDimensions) {
if (!explicitlyOrderedFields.has(timeDim.dimension)) {
// Automatically sort time dimensions in ascending order (earliest to latest)
orderClauses.push(asc(sql.identifier(timeDim.dimension)))
}
}
}
return orderClauses
}
/**
* Collect numeric field names (measures + numeric dimensions) for type conversion
* Works for both single and multi-cube queries
*/
collectNumericFields(cubes: Map<string, Cube> | Cube, query: SemanticQuery): string[] {
const numericFields: string[] = []
// Convert single cube to map for consistent handling
const cubeMap = cubes instanceof Map ? cubes : new Map([[cubes.name, cubes]])
// Add all measure fields (they are always numeric)
if (query.measures) {
numericFields.push(...query.measures)
}
// Add numeric dimension fields
if (query.dimensions) {
for (const dimensionName of query.dimensions) {
const [cubeName, fieldName] = dimensionName.split('.')
const cube = cubeMap.get(cubeName)
Eif (cube) {
const dimension = cube.dimensions[fieldName]
if (dimension && dimension.type === 'number') {
// Use the full name (with prefix) as it appears in the result
numericFields.push(dimensionName)
}
}
}
}
return numericFields
}
/**
* Apply LIMIT and OFFSET to a query with validation
* If offset is provided without limit, add a reasonable default limit
*/
applyLimitAndOffset<T>(query: T, semanticQuery: SemanticQuery): T {
// If offset is provided without limit, add a reasonable default limit
let effectiveLimit = semanticQuery.limit
if (semanticQuery.offset !== undefined && semanticQuery.offset > 0 && effectiveLimit === undefined) {
effectiveLimit = 50 // Default limit when offset is used
}
let result = query
if (effectiveLimit !== undefined) {
if (effectiveLimit < 0) {
throw new Error('Limit must be non-negative')
}
result = (result as any).limit(effectiveLimit)
}
if (semanticQuery.offset !== undefined) {
if (semanticQuery.offset < 0) {
throw new Error('Offset must be non-negative')
}
result = (result as any).offset(semanticQuery.offset)
}
return result
}
} |