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* Unified Drizzle Query Executor
* Handles both single and multi-cube queries through a unified execution path
* Uses QueryBuilder for SQL generation and QueryPlanner for query planning
*/
import {
and,
eq,
sql,
SQL,
sum,
min,
max
} from 'drizzle-orm'
import type {
SecurityContext,
SemanticQuery,
QueryResult,
MeasureAnnotation,
DimensionAnnotation,
TimeDimensionAnnotation,
DatabaseExecutor,
Cube,
QueryContext,
QueryPlan,
JoinKeyInfo
} from './types'
import { resolveSqlExpression } from './cube-utils'
import { QueryBuilder } from './query-builder'
import { QueryPlanner } from './query-planner'
import { validateQueryAgainstCubes } from './compiler'
import { applyGapFilling } from './gap-filler'
import type { DatabaseAdapter } from './adapters/base-adapter'
export class QueryExecutor {
private queryBuilder: QueryBuilder
private queryPlanner: QueryPlanner
private databaseAdapter: DatabaseAdapter
constructor(private dbExecutor: DatabaseExecutor) {
// Get the database adapter from the executor
this.databaseAdapter = dbExecutor.databaseAdapter
Iif (!this.databaseAdapter) {
throw new Error('DatabaseExecutor must have a databaseAdapter property')
}
this.queryBuilder = new QueryBuilder(this.databaseAdapter)
this.queryPlanner = new QueryPlanner()
}
/**
* Unified query execution method that handles both single and multi-cube queries
*/
async execute(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
try {
// Validate query before execution
const validation = validateQueryAgainstCubes(cubes, query)
if (!validation.isValid) {
throw new Error(`Query validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Create unified query plan (works for both single and multi-cube)
const queryPlan = this.queryPlanner.createQueryPlan(cubes, query, context)
// Build the query using unified approach
const builtQuery = this.buildUnifiedQuery(queryPlan, query, context)
// Execute query - pass numeric field names for selective conversion
const numericFields = this.queryBuilder.collectNumericFields(cubes, query)
const data = await this.dbExecutor.execute(builtQuery, numericFields)
// Process time dimension results
const mappedData = Array.isArray(data) ? data.map(row => {
const mappedRow = { ...row }
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
Eif (timeDim.dimension in mappedRow) {
let dateValue = mappedRow[timeDim.dimension]
// If we have a date that is not 'T' in the center and Z at the end, we need to fix it
if (typeof dateValue === 'string' && dateValue.match(/^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}/)) {
const isoString = dateValue.replace(' ', 'T')
const finalIsoString = !isoString.endsWith('Z') && !isoString.includes('+')
? isoString + 'Z'
: isoString
dateValue = new Date(finalIsoString)
}
// Convert time dimension result using database adapter if required
dateValue = this.databaseAdapter.convertTimeDimensionResult(dateValue)
mappedRow[timeDim.dimension] = dateValue
}
}
}
return mappedRow
}) : [data]
// Apply gap filling for time series if requested
const measureNames = query.measures || []
const filledData = applyGapFilling(mappedData, query, measureNames)
// Generate annotations for UI
const annotation = this.generateAnnotations(queryPlan, query)
return {
data: filledData,
annotation
}
} catch (error) {
throw new Error(`Query execution failed: ${error instanceof Error ? error.message : 'Unknown error'}`)
}
}
/**
* Legacy interface for single cube queries
*/
async executeQuery(
cube: Cube,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
// Convert single cube to map for unified execution
const cubes = new Map<string, Cube>()
cubes.set(cube.name, cube)
return this.execute(cubes, query, securityContext)
}
/**
* Build pre-aggregation CTE for hasMany relationships
*/
private buildPreAggregationCTE(
cteInfo: NonNullable<QueryPlan['preAggregationCTEs']>[0],
query: SemanticQuery,
context: QueryContext,
queryPlan: QueryPlan
): any {
const cube = cteInfo.cube
const cubeBase = cube.sql(context) // Gets security filtering!
// Build selections for CTE - include join keys and measures
const cteSelections: Record<string, any> = {}
// Add join key columns - use the stored column objects
for (const joinKey of cteInfo.joinKeys) {
// Use the stored Drizzle column object if available
if (joinKey.targetColumnObj) {
cteSelections[joinKey.targetColumn] = joinKey.targetColumnObj
// Also add an aliased version if there's a matching dimension with a different name
// This allows the main query to reference it by dimension name
for (const [dimName, dimension] of Object.entries(cube.dimensions || {}) as Array<[string, any]>) {
if (dimension.sql === joinKey.targetColumnObj && dimName !== joinKey.targetColumn) {
// Add an aliased version: "column_name" as "dimensionName"
cteSelections[dimName] = sql`${joinKey.targetColumnObj}`.as(dimName) as unknown as any
}
}
} else E{
// No target column object stored for CTE join key
}
}
// Add measures with aggregation using the centralized helper
const cubeName = cube.name
const cubeMap = new Map([[cubeName, cube]])
const resolvedMeasures = this.queryBuilder.buildResolvedMeasures(
cteInfo.measures,
cubeMap,
context
)
// Add all resolved measures to CTE selections
for (const measureName of cteInfo.measures) {
const [, fieldName] = measureName.split('.')
const measureBuilder = resolvedMeasures.get(measureName)
if (measureBuilder) {
const measureExpr = measureBuilder()
// Use just the field name as the column alias (SQL identifiers can't have dots)
cteSelections[fieldName] = sql`${measureExpr}`.as(fieldName)
}
}
// Add dimensions that are requested in the query from this cube
if (query.dimensions) {
for (const dimensionName of query.dimensions) {
const [dimCubeName, fieldName] = dimensionName.split('.')
if (dimCubeName === cubeName && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
const dimensionExpr = this.queryBuilder.buildMeasureExpression({ sql: dimension.sql, type: 'number' }, context)
cteSelections[fieldName] = sql`${dimensionExpr}`.as(fieldName)
}
}
}
// Add time dimensions that are requested in the query from this cube
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [timeCubeName, fieldName] = timeDim.dimension.split('.')
if (timeCubeName === cubeName && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
const timeExpr = this.queryBuilder.buildTimeDimensionExpression(dimension.sql, timeDim.granularity, context)
cteSelections[fieldName] = sql`${timeExpr}`.as(fieldName)
}
}
}
// Ensure we have at least one selection
Iif (Object.keys(cteSelections).length === 0) {
// No selections found for CTE
return null
}
// Build CTE query with security context applied
let cteQuery = context.db
.select(cteSelections)
.from(cubeBase.from)
// Add additional query-specific WHERE conditions for this cube
// IMPORTANT: Only apply dimension filters in CTE WHERE clause, not measure filters
// Measure filters should only be applied in HAVING clause of the main query
// Create a modified query plan that doesn't skip filters for the current CTE cube
const cteQueryPlan = queryPlan ? {
...queryPlan,
preAggregationCTEs: queryPlan.preAggregationCTEs?.filter((cte: any) => cte.cube.name !== cube.name)
} : undefined
const whereConditions = this.queryBuilder.buildWhereConditions(cube, query, context, cteQueryPlan)
// Also add time dimension filters for this cube within the CTE
const cteTimeFilters: any[] = []
// Handle dateRange from timeDimensions property
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [timeCubeName, fieldName] = timeDim.dimension.split('.')
if (timeCubeName === cubeName && cube.dimensions && cube.dimensions[fieldName] && timeDim.dateRange) {
const dimension = cube.dimensions[fieldName]
// Use the raw field expression for date filtering (not the truncated version)
const fieldExpr = this.queryBuilder.buildMeasureExpression({ sql: dimension.sql, type: 'number' }, context)
const dateCondition = this.queryBuilder.buildDateRangeCondition(fieldExpr, timeDim.dateRange)
Eif (dateCondition) {
cteTimeFilters.push(dateCondition)
}
}
}
}
// Handle inDateRange filters from filters array for time dimensions of this cube
if (query.filters) {
for (const filter of query.filters) {
// Only handle simple filter conditions (not logical AND/OR)
if (!('and' in filter) && !('or' in filter) && 'member' in filter && 'operator' in filter) {
const filterCondition = filter as any
const [filterCubeName, filterFieldName] = filterCondition.member.split('.')
// Check if this filter is for a time dimension of this cube
if (filterCubeName === cubeName && cube.dimensions && cube.dimensions[filterFieldName]) {
const dimension = cube.dimensions[filterFieldName]
// Check if this is a time dimension (date/time related) and has inDateRange filter
if (filterCondition.operator === 'inDateRange') {
const fieldExpr = this.queryBuilder.buildMeasureExpression({ sql: dimension.sql, type: 'number' }, context)
const dateCondition = this.queryBuilder.buildDateRangeCondition(fieldExpr, filterCondition.values)
Eif (dateCondition) {
cteTimeFilters.push(dateCondition)
}
}
}
}
}
}
// Combine security context, regular WHERE conditions, and time dimension filters into one WHERE clause
// IMPORTANT: Must combine all conditions in a single WHERE call to avoid overriding
const allCteConditions = []
Eif (cubeBase.where) {
allCteConditions.push(cubeBase.where)
}
allCteConditions.push(...whereConditions, ...cteTimeFilters)
Eif (allCteConditions.length > 0) {
const combinedWhere = allCteConditions.length === 1
? allCteConditions[0]
: and(...allCteConditions)
cteQuery = cteQuery.where(combinedWhere)
}
// Group by join keys (essential for pre-aggregation) and requested dimensions
const groupByFields: any[] = []
// Add join key columns to GROUP BY
for (const joinKey of cteInfo.joinKeys) {
Eif (joinKey.targetColumnObj) {
groupByFields.push(joinKey.targetColumnObj)
}
}
// Add dimensions that are requested in the query from this cube to GROUP BY
if (query.dimensions) {
for (const dimensionName of query.dimensions) {
const [dimCubeName, fieldName] = dimensionName.split('.')
if (dimCubeName === cubeName && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
const dimensionExpr = resolveSqlExpression(dimension.sql, context)
groupByFields.push(dimensionExpr)
}
}
}
// Add time dimensions that are requested in the query from this cube to GROUP BY
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [timeCubeName, fieldName] = timeDim.dimension.split('.')
if (timeCubeName === cubeName && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
const timeExpr = this.queryBuilder.buildTimeDimensionExpression(dimension.sql, timeDim.granularity, context)
groupByFields.push(timeExpr)
}
}
}
Eif (groupByFields.length > 0) {
cteQuery = cteQuery.groupBy(...groupByFields)
}
return context.db.$with(cteInfo.cteAlias).as(cteQuery)
}
// Removed unused getActualJoinTargetColumn method
/**
* Build join condition for CTE
*/
private buildCTEJoinCondition(
joinCube: QueryPlan['joinCubes'][0],
cteAlias: string,
queryPlan: QueryPlan
): SQL {
// Find the pre-aggregation info for this join cube
const cteInfo = queryPlan.preAggregationCTEs?.find((cte: any) => cte.cube.name === joinCube.cube.name)
Iif (!cteInfo) {
throw new Error(`CTE info not found for cube ${joinCube.cube.name}`)
}
const conditions: SQL[] = []
// Build join conditions using join keys
for (const joinKey of cteInfo.joinKeys) {
// Use the stored source column object if available, otherwise fall back to identifier
const sourceCol = joinKey.sourceColumnObj || sql.identifier(joinKey.sourceColumn)
const cteCol = sql`${sql.identifier(cteAlias)}.${sql.identifier(joinKey.targetColumn)}` // CTE column
conditions.push(eq(sourceCol as any, cteCol))
}
return conditions.length === 1 ? conditions[0] : and(...conditions)!
}
/**
* Build unified query that works for both single and multi-cube queries
*/
private buildUnifiedQuery(
queryPlan: any,
query: SemanticQuery,
context: QueryContext
) {
// Build pre-aggregation CTEs if needed
const ctes: any[] = []
const cteAliasMap = new Map<string, string>()
if (queryPlan.preAggregationCTEs && queryPlan.preAggregationCTEs.length > 0) {
for (const cteInfo of queryPlan.preAggregationCTEs) {
const cte = this.buildPreAggregationCTE(cteInfo, query, context, queryPlan)
if (cte) {
ctes.push(cte)
cteAliasMap.set(cteInfo.cube.name, cteInfo.cteAlias)
} else E{
// Failed to build CTE
}
}
}
// Get primary cube's base SQL definition
const primaryCubeBase = queryPlan.primaryCube.sql(context)
// Build selections using QueryBuilder - but modify for CTEs
const selections = this.queryBuilder.buildSelections(
queryPlan.joinCubes.length > 0
? this.getCubesFromPlan(queryPlan) // Multi-cube
: queryPlan.primaryCube, // Single cube
query,
context
)
// Replace selections from pre-aggregated cubes with CTE references
const modifiedSelections = { ...selections }
if (queryPlan.preAggregationCTEs) {
for (const cteInfo of queryPlan.preAggregationCTEs) {
const cubeName = cteInfo.cube.name
// Handle measures from CTE cubes
for (const measureName of cteInfo.measures) {
if (modifiedSelections[measureName]) {
const [, fieldName] = measureName.split('.')
const cube = this.getCubesFromPlan(queryPlan).get(cubeName)
if (cube && cube.measures && cube.measures[fieldName]) {
const measure = cube.measures[fieldName]
// Use appropriate Drizzle aggregate function based on measure type
// Since CTE is already pre-aggregated, we need to aggregate the pre-aggregated values
let aggregatedExpr: SQL
if (measure.type === 'calculated' && measure.calculatedSql) {
// Use QueryBuilder's helper to build calculated measure from CTE columns
const allCubes = this.getCubesFromPlan(queryPlan)
aggregatedExpr = this.queryBuilder.buildCTECalculatedMeasure(
measure,
cube,
cteInfo,
allCubes,
context
)
} else {
// For non-calculated measures, aggregate the CTE column directly
const cteColumn = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`
switch (measure.type) {
case 'count':
case 'countDistinct':
case 'sum':
aggregatedExpr = sum(cteColumn)
break
case 'avg':
// For average of averages, we should use a weighted average, but for now use simple avg
aggregatedExpr = this.databaseAdapter.buildAvg(cteColumn)
break
case 'min':
aggregatedExpr = min(cteColumn)
break
case 'max':
aggregatedExpr = max(cteColumn)
break
case 'number':
// For number type, use sum to combine values
aggregatedExpr = sum(cteColumn)
break
default:
aggregatedExpr = sum(cteColumn)
}
}
modifiedSelections[measureName] = sql`${aggregatedExpr}`.as(measureName) as unknown as SQL
}
}
}
// Handle dimensions from CTE cubes (these need to reference join keys in CTE)
for (const selectionName in modifiedSelections) {
const [selectionCubeName, fieldName] = selectionName.split('.')
if (selectionCubeName === cubeName) {
// This is a dimension/time dimension from a CTE cube
const cube = this.getCubesFromPlan(queryPlan).get(cubeName)
// Check if this is a dimension or time dimension from this cube
const isDimension = cube && cube.dimensions?.[fieldName]
const isTimeDimension = selectionName.startsWith(cubeName + '.')
Eif (isDimension || isTimeDimension) {
// Check if this is one of the join keys that's already in the CTE
// First try exact name match
let matchingJoinKey = cteInfo.joinKeys.find((jk: JoinKeyInfo) => jk.targetColumn === fieldName)
// If no exact match, check if the dimension SQL matches any join key target column
if (!matchingJoinKey && cube?.dimensions?.[fieldName]) {
const dimensionSql = cube.dimensions[fieldName].sql
matchingJoinKey = cteInfo.joinKeys.find((jk: any) => {
// Check if the dimension's SQL column matches the join key's target column object
return jk.targetColumnObj === dimensionSql
})
}
if (matchingJoinKey) {
// Reference the join key from the CTE using the dimension name
modifiedSelections[selectionName] = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`.as(selectionName) as unknown as SQL
} else if (isTimeDimension && cube?.dimensions?.[fieldName]) {
// This is a time dimension that should be available in the CTE
modifiedSelections[selectionName] = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`.as(selectionName) as unknown as SQL
}
// For non-join-key dimensions from CTE cubes that aren't handled above,
// the original selection will be kept (which may cause SQL errors if not properly handled)
}
}
}
}
}
// Collect all WHERE conditions (declared early for junction table security)
const allWhereConditions: SQL[] = []
// Start building the query from the primary cube
let drizzleQuery = context.db
.select(modifiedSelections)
.from(primaryCubeBase.from)
// Add CTEs to the query - Drizzle CTEs are added at the start
if (ctes.length > 0) {
drizzleQuery = context.db
.with(...ctes)
.select(modifiedSelections)
.from(primaryCubeBase.from)
}
// Add joins from primary cube base (intra-cube joins)
Iif (primaryCubeBase.joins) {
for (const join of primaryCubeBase.joins) {
switch (join.type || 'left') {
case 'left':
drizzleQuery = drizzleQuery.leftJoin(join.table, join.on)
break
case 'inner':
drizzleQuery = drizzleQuery.innerJoin(join.table, join.on)
break
case 'right':
drizzleQuery = drizzleQuery.rightJoin(join.table, join.on)
break
case 'full':
drizzleQuery = drizzleQuery.fullJoin(join.table, join.on)
break
}
}
}
// Add multi-cube joins (inter-cube joins)
if (queryPlan.joinCubes && queryPlan.joinCubes.length > 0) {
for (const joinCube of queryPlan.joinCubes) {
// Check if this cube has been pre-aggregated into a CTE
const cteAlias = cteAliasMap.get(joinCube.cube.name)
// Handle belongsToMany junction table first if present
if (joinCube.junctionTable) {
const junctionTable = joinCube.junctionTable
// Collect all WHERE conditions for junction table including security context
const junctionWhereConditions: SQL[] = []
Eif (junctionTable.securitySql) {
const junctionSecurity = junctionTable.securitySql(context.securityContext)
Iif (Array.isArray(junctionSecurity)) {
junctionWhereConditions.push(...junctionSecurity)
} else {
junctionWhereConditions.push(junctionSecurity)
}
}
// Add junction table join (source -> junction)
try {
switch (junctionTable.joinType || 'left') {
case 'left':
drizzleQuery = drizzleQuery.leftJoin(junctionTable.table, junctionTable.joinCondition)
break
case 'inner':
drizzleQuery = drizzleQuery.innerJoin(junctionTable.table, junctionTable.joinCondition)
break
case 'right':
drizzleQuery = drizzleQuery.rightJoin(junctionTable.table, junctionTable.joinCondition)
break
case 'full':
drizzleQuery = drizzleQuery.fullJoin(junctionTable.table, junctionTable.joinCondition)
break
}
// Add junction table security conditions to WHERE clause
Eif (junctionWhereConditions.length > 0) {
allWhereConditions.push(...junctionWhereConditions)
}
} catch {
// Junction table join failed, continuing
}
}
let joinTarget: any
let joinCondition: any
if (cteAlias) {
// Join to CTE instead of base table - use sql table reference
joinTarget = sql`${sql.identifier(cteAlias)}`
// Build CTE join condition using the CTE alias
joinCondition = this.buildCTEJoinCondition(joinCube, cteAlias, queryPlan)
} else {
// Regular join to base table
const joinCubeBase = joinCube.cube.sql(context)
joinTarget = joinCubeBase.from
joinCondition = joinCube.joinCondition
}
try {
switch (joinCube.joinType || 'left') {
case 'left':
drizzleQuery = drizzleQuery.leftJoin(joinTarget, joinCondition)
break
case 'inner':
drizzleQuery = drizzleQuery.innerJoin(joinTarget, joinCondition)
break
case 'right':
drizzleQuery = drizzleQuery.rightJoin(joinTarget, joinCondition)
break
case 'full':
drizzleQuery = drizzleQuery.fullJoin(joinTarget, joinCondition)
break
}
} catch {
// If join fails (e.g., duplicate alias), log and continue
// Multi-cube join failed, continuing
}
}
}
// Add base WHERE conditions from primary cube
Eif (primaryCubeBase.where) {
allWhereConditions.push(primaryCubeBase.where)
}
// Add WHERE conditions from all joined cubes (including their security context filters)
if (queryPlan.joinCubes && queryPlan.joinCubes.length > 0) {
for (const joinCube of queryPlan.joinCubes) {
// Skip if this cube is handled by a CTE (WHERE conditions are applied within the CTE)
const cteAlias = cteAliasMap.get(joinCube.cube.name)
if (cteAlias) {
continue
}
// Get the base query definition for this joined cube to access its WHERE conditions
const joinCubeBase = joinCube.cube.sql(context)
Eif (joinCubeBase.where) {
allWhereConditions.push(joinCubeBase.where)
}
}
}
// Add query-specific WHERE conditions using QueryBuilder
const queryWhereConditions = this.queryBuilder.buildWhereConditions(
queryPlan.joinCubes.length > 0
? this.getCubesFromPlan(queryPlan) // Multi-cube
: queryPlan.primaryCube, // Single cube
query,
context,
queryPlan // Pass the queryPlan to handle CTE scenarios
)
if (queryWhereConditions.length > 0) {
allWhereConditions.push(...queryWhereConditions)
}
// Apply combined WHERE conditions
Eif (allWhereConditions.length > 0) {
const combinedWhere = allWhereConditions.length === 1
? allWhereConditions[0]
: and(...allWhereConditions) as SQL
drizzleQuery = drizzleQuery.where(combinedWhere)
}
// Add GROUP BY using QueryBuilder
const groupByFields = this.queryBuilder.buildGroupByFields(
queryPlan.joinCubes.length > 0
? this.getCubesFromPlan(queryPlan) // Multi-cube
: queryPlan.primaryCube, // Single cube
query,
context,
queryPlan // Pass the queryPlan to handle CTE scenarios
)
if (groupByFields.length > 0) {
drizzleQuery = drizzleQuery.groupBy(...groupByFields)
}
// Add HAVING conditions using QueryBuilder (after GROUP BY)
const havingConditions = this.queryBuilder.buildHavingConditions(
queryPlan.joinCubes.length > 0
? this.getCubesFromPlan(queryPlan) // Multi-cube
: queryPlan.primaryCube, // Single cube
query,
context,
queryPlan // Pass the queryPlan to handle CTE scenarios
)
if (havingConditions.length > 0) {
const combinedHaving = havingConditions.length === 1
? havingConditions[0]
: and(...havingConditions) as SQL
drizzleQuery = drizzleQuery.having(combinedHaving)
}
// Add ORDER BY using QueryBuilder
const orderByFields = this.queryBuilder.buildOrderBy(query)
if (orderByFields.length > 0) {
drizzleQuery = drizzleQuery.orderBy(...orderByFields)
}
// Add LIMIT and OFFSET using QueryBuilder
drizzleQuery = this.queryBuilder.applyLimitAndOffset(drizzleQuery, query)
return drizzleQuery
}
/**
* Convert query plan to cube map for QueryBuilder methods
*/
private getCubesFromPlan(queryPlan: any): Map<string, Cube> {
const cubes = new Map<string, Cube>()
cubes.set(queryPlan.primaryCube.name, queryPlan.primaryCube)
Eif (queryPlan.joinCubes) {
for (const joinCube of queryPlan.joinCubes) {
cubes.set(joinCube.cube.name, joinCube.cube)
}
}
return cubes
}
/**
* Generate raw SQL for debugging (without execution) - unified approach
*/
async generateSQL(
cube: Cube,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<{ sql: string; params?: any[] }> {
const cubes = new Map<string, Cube>()
cubes.set(cube.name, cube)
return this.generateUnifiedSQL(cubes, query, securityContext)
}
/**
* Generate raw SQL for multi-cube queries without execution - unified approach
*/
async generateMultiCubeSQL(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<{ sql: string; params?: any[] }> {
return this.generateUnifiedSQL(cubes, query, securityContext)
}
/**
* Generate SQL using unified approach (works for both single and multi-cube)
*/
private async generateUnifiedSQL(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<{ sql: string; params?: any[] }> {
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema!,
securityContext
}
// Create unified query plan
const queryPlan = this.queryPlanner.createQueryPlan(cubes, query, context)
// Build the query using unified approach
const builtQuery = this.buildUnifiedQuery(queryPlan, query, context)
// Extract SQL from the built query
const sqlObj = builtQuery.toSQL()
return {
sql: sqlObj.sql,
params: sqlObj.params
}
}
/**
* Generate annotations for UI metadata - unified approach
*/
private generateAnnotations(
queryPlan: any,
query: SemanticQuery
) {
const measures: Record<string, MeasureAnnotation> = {}
const dimensions: Record<string, DimensionAnnotation> = {}
const timeDimensions: Record<string, TimeDimensionAnnotation> = {}
// Get all cubes involved (primary + join cubes)
const allCubes = [queryPlan.primaryCube]
if (queryPlan.joinCubes && queryPlan.joinCubes.length > 0) {
allCubes.push(...queryPlan.joinCubes.map((jc: any) => jc.cube))
}
// Generate measure annotations from all cubes
if (query.measures) {
for (const measureName of query.measures) {
const [cubeName, fieldName] = measureName.split('.')
const cube = allCubes.find(c => c.name === cubeName)
Eif (cube && cube.measures[fieldName]) {
const measure = cube.measures[fieldName]
measures[measureName] = {
title: measure.title || fieldName,
shortTitle: measure.title || fieldName,
type: measure.type
}
}
}
}
// Generate dimension annotations from all cubes
if (query.dimensions) {
for (const dimensionName of query.dimensions) {
const [cubeName, fieldName] = dimensionName.split('.')
const cube = allCubes.find(c => c.name === cubeName)
Eif (cube && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
dimensions[dimensionName] = {
title: dimension.title || fieldName,
shortTitle: dimension.title || fieldName,
type: dimension.type
}
}
}
}
// Generate time dimension annotations from all cubes
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [cubeName, fieldName] = timeDim.dimension.split('.')
const cube = allCubes.find(c => c.name === cubeName)
Eif (cube && cube.dimensions && cube.dimensions[fieldName]) {
const dimension = cube.dimensions[fieldName]
timeDimensions[timeDim.dimension] = {
title: dimension.title || fieldName,
shortTitle: dimension.title || fieldName,
type: dimension.type,
granularity: timeDim.granularity
}
}
}
}
return {
measures,
dimensions,
segments: {},
timeDimensions
}
}
} |