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73x 882x 882x 382x 882x 882x 882x 882x 882x 439x 882x 882x 26x 26x 882x 882x 198x 880x 880x 2112x 2112x 2112x 2112x 1784x 2112x 24x 24x 24x 5x 29x 29x 29x 29x 29x 845x 845x 845x 845x 845x 240x 845x 844x 1116x 1368x 1116x 1116x 1116x 845x 304x 349x 434x 349x 349x 349x 845x 127x 134x 159x 134x 134x 134x 845x 856x 371x 371x 646x 646x 544x 544x 544x 544x 646x 524x 524x 5x 519x 519x 519x 482x 853x 127x 134x 77x 77x 77x 77x 77x 77x 77x 77x 77x 77x 73x 11x 11x 8x 3x 3x 3x 11x 11x 11x 11x 10x 10x 10x 8x 8x 3x 5x 8x 5x 3x 11x 3x 11x 3x 11x 11x 11x 11x 11x 11x 3x 8x | /**
* 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,
CacheConfig,
ExplainOptions,
ExplainResult,
ExecutionOptions
} from './types'
import { resolveSqlExpression } from './cube-utils'
import { FilterCacheManager, getFilterKey, getTimeDimensionFilterKey, flattenFilters } from './filter-cache'
import { generateCacheKey } from './cache-utils'
import { QueryBuilder } from './query-builder'
import { QueryPlanner } from './query-planner'
import { CTEBuilder } from './cte-builder'
import { MeasureBuilder } from './builders/measure-builder'
import { validateQueryAgainstCubes } from './compiler'
import { applyGapFilling } from './gap-filler'
import type { DatabaseAdapter } from './adapters/base-adapter'
import { ComparisonQueryBuilder } from './comparison-query-builder'
import { FunnelQueryBuilder } from './funnel-query-builder'
import { FlowQueryBuilder } from './flow-query-builder'
import { RetentionQueryBuilder } from './retention-query-builder'
export class QueryExecutor {
private queryBuilder: QueryBuilder
private queryPlanner: QueryPlanner
private cteBuilder: CTEBuilder
private databaseAdapter: DatabaseAdapter
private comparisonQueryBuilder: ComparisonQueryBuilder
private funnelQueryBuilder: FunnelQueryBuilder
private flowQueryBuilder: FlowQueryBuilder
private retentionQueryBuilder: RetentionQueryBuilder
private cacheConfig?: CacheConfig
constructor(private dbExecutor: DatabaseExecutor, cacheConfig?: CacheConfig) {
// 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()
this.cteBuilder = new CTEBuilder(this.queryBuilder)
this.comparisonQueryBuilder = new ComparisonQueryBuilder(this.databaseAdapter)
this.funnelQueryBuilder = new FunnelQueryBuilder(this.databaseAdapter)
this.flowQueryBuilder = new FlowQueryBuilder(this.databaseAdapter)
this.retentionQueryBuilder = new RetentionQueryBuilder(this.databaseAdapter)
this.cacheConfig = cacheConfig
}
/**
* Unified query execution method that handles both single and multi-cube queries
* @param options.skipCache - Skip cache lookup (but still cache the fresh result)
*/
async execute(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext,
options?: ExecutionOptions
): Promise<QueryResult> {
try {
// Check for funnel queries FIRST - funnel queries have different validation
if (this.funnelQueryBuilder.hasFunnel(query)) {
// Validate funnel configuration separately
const funnelValidation = this.funnelQueryBuilder.validateConfig(query.funnel!, cubes)
if (!funnelValidation.isValid) {
throw new Error(`Funnel validation failed: ${funnelValidation.errors.join(', ')}`)
}
// Skip standard validation for funnel queries and go directly to execution
// (after cache check below)
} else if (this.flowQueryBuilder.hasFlow(query)) {
// Validate flow configuration separately
const flowValidation = this.flowQueryBuilder.validateConfig(query.flow!, cubes)
if (!flowValidation.isValid) {
throw new Error(`Flow validation failed: ${flowValidation.errors.join(', ')}`)
}
// Skip standard validation for flow queries and go directly to execution
// (after cache check below)
I} else if (this.retentionQueryBuilder.hasRetention(query)) {
// Validate retention configuration separately
const retentionValidation = this.retentionQueryBuilder.validateConfig(query.retention!, cubes)
if (!retentionValidation.isValid) {
throw new Error(`Retention validation failed: ${retentionValidation.errors.join(', ')}`)
}
// Skip standard validation for retention queries and go directly to execution
// (after cache check below)
} else {
// Standard validation for non-funnel/non-flow queries
const validation = validateQueryAgainstCubes(cubes, query)
if (!validation.isValid) {
throw new Error(`Query validation failed: ${validation.errors.join(', ')}`)
}
}
// Check cache BEFORE expensive operations (after validation, includes security context)
// Skip cache lookup if options.skipCache is true (but still cache the result later)
let cacheKey: string | undefined
if (this.cacheConfig?.enabled !== false && this.cacheConfig?.provider) {
cacheKey = generateCacheKey(query, securityContext, this.cacheConfig)
// Only do cache lookup if not explicitly bypassing cache
if (!options?.skipCache) {
try {
const startTime = Date.now()
const cacheResult = await this.cacheConfig.provider.get<QueryResult>(cacheKey)
if (cacheResult) {
this.cacheConfig.onCacheEvent?.({
type: 'hit',
key: cacheKey,
durationMs: Date.now() - startTime
})
// Return cached result WITH cache metadata
return {
...cacheResult.value,
cache: cacheResult.metadata
? {
hit: true,
cachedAt: new Date(cacheResult.metadata.cachedAt).toISOString(),
ttlMs: cacheResult.metadata.ttlMs,
ttlRemainingMs: cacheResult.metadata.ttlRemainingMs
}
: {
hit: true,
cachedAt: new Date().toISOString(),
ttlMs: 0,
ttlRemainingMs: 0
}
}
}
this.cacheConfig.onCacheEvent?.({
type: 'miss',
key: cacheKey,
durationMs: Date.now() - startTime
})
} catch (error) {
this.cacheConfig.onError?.(error as Error, 'get')
// Continue without cache - failures are non-fatal
}
} else E{
// skipCache requested - emit a bypass event if handler exists
this.cacheConfig.onCacheEvent?.({
type: 'miss',
key: cacheKey,
durationMs: 0
})
}
}
// Check for compareDateRange queries and route to comparison execution
if (this.comparisonQueryBuilder.hasComparison(query)) {
return this.executeComparisonQueryWithCache(cubes, query, securityContext, cacheKey)
}
// Check for funnel queries and route to funnel execution
if (this.funnelQueryBuilder.hasFunnel(query)) {
return this.executeFunnelQueryWithCache(cubes, query, securityContext, cacheKey)
}
// Check for flow queries and route to flow execution
if (this.flowQueryBuilder.hasFlow(query)) {
return this.executeFlowQueryWithCache(cubes, query, securityContext, cacheKey)
}
// Check for retention queries and route to retention execution
Iif (this.retentionQueryBuilder.hasRetention(query)) {
return this.executeRetentionQueryWithCache(cubes, query, securityContext, cacheKey)
}
// Create filter cache for parameter deduplication across CTEs
const filterCache = new FilterCacheManager()
// Create query context with filter cache
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext,
filterCache
}
// Pre-build filter SQL for reuse across CTEs and main query
this.preloadFilterCache(query, filterCache, cubes, context)
// Create unified query plan (works for both single and multi-cube)
const queryPlan = this.queryPlanner.createQueryPlan(cubes, query, context)
// Validate security context is applied to all cubes in the query plan
this.validateSecurityContext(queryPlan, 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)
const result: QueryResult = {
data: filledData,
annotation
}
// Cache result before returning (without cache metadata - that's only on cache hits)
if (cacheKey && this.cacheConfig?.provider) {
try {
const startTime = Date.now()
await this.cacheConfig.provider.set(
cacheKey,
result,
this.cacheConfig.defaultTtlMs ?? 300000
)
this.cacheConfig.onCacheEvent?.({
type: 'set',
key: cacheKey,
durationMs: Date.now() - startTime
})
} catch (error) {
this.cacheConfig.onError?.(error as Error, 'set')
// Continue without caching - failures are non-fatal
}
}
return result
} catch (error) {
// Extract the actual database error from the cause chain
// Drizzle ORM wraps database errors, but the real error is in the cause
Eif (error instanceof Error) {
let dbError: Error = error
while (dbError.cause instanceof Error) {
dbError = dbError.cause
}
// Build comprehensive error message with the actual database error
let message = dbError.message
// Add PostgreSQL-specific details if available
const pgError = dbError as any
if (pgError.code) message += ` [${pgError.code}]`
Iif (pgError.detail) message += ` Detail: ${pgError.detail}`
Iif (pgError.hint) message += ` Hint: ${pgError.hint}`
error.message = `Query execution failed: ${message}`
throw error
}
throw new Error(`Query execution failed: 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)
}
/**
* Execute a comparison query with caching support
* Wraps executeComparisonQuery with cache set logic
*/
private async executeComparisonQueryWithCache(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext,
cacheKey: string | undefined
): Promise<QueryResult> {
const result = await this.executeComparisonQuery(cubes, query, securityContext)
// Cache result before returning (without cache metadata - that's only on cache hits)
Iif (cacheKey && this.cacheConfig?.provider) {
try {
const startTime = Date.now()
await this.cacheConfig.provider.set(
cacheKey,
result,
this.cacheConfig.defaultTtlMs ?? 300000
)
this.cacheConfig.onCacheEvent?.({
type: 'set',
key: cacheKey,
durationMs: Date.now() - startTime
})
} catch (error) {
this.cacheConfig.onError?.(error as Error, 'set')
// Continue without caching - failures are non-fatal
}
}
return result
}
/**
* Execute a comparison query with multiple date periods
* Expands compareDateRange into multiple sub-queries and merges results
*/
private async executeComparisonQuery(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
// Get the time dimension with compareDateRange
const timeDimension = this.comparisonQueryBuilder.getComparisonTimeDimension(query)
Iif (!timeDimension || !timeDimension.compareDateRange) {
throw new Error('No compareDateRange found in query')
}
// Normalize periods (parse relative dates, etc.)
const periods = this.comparisonQueryBuilder.normalizePeriods(
timeDimension.compareDateRange
)
Iif (periods.length < 2) {
throw new Error('compareDateRange requires at least 2 periods')
}
// Get granularity (default to 'day' if not specified)
const granularity = timeDimension.granularity || 'day'
// Execute query for each period in parallel
const periodResultPromises = periods.map(async (period) => {
// Create a sub-query for this specific period
const periodQuery = this.comparisonQueryBuilder.createPeriodQuery(query, period)
// Execute using the standard path (this.execute handles the rest)
// Note: We call executeStandardQuery to avoid recursion
const result = await this.executeStandardQuery(cubes, periodQuery, securityContext)
return { result, period }
})
// Wait for all period queries to complete
const periodResults = await Promise.all(periodResultPromises)
// Merge results with period metadata
const mergedResult = this.comparisonQueryBuilder.mergeComparisonResults(
periodResults,
timeDimension,
granularity
)
// Sort by period index and time dimension
mergedResult.data = this.comparisonQueryBuilder.sortComparisonResults(
mergedResult.data as any,
timeDimension.dimension
)
return mergedResult
}
/**
* Execute a funnel query with caching support
*/
private async executeFunnelQueryWithCache(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext,
cacheKey: string | undefined
): Promise<QueryResult> {
const result = await this.executeFunnelQuery(cubes, query, securityContext)
// Cache result before returning
Iif (cacheKey && this.cacheConfig?.provider) {
try {
const startTime = Date.now()
await this.cacheConfig.provider.set(
cacheKey,
result,
this.cacheConfig.defaultTtlMs ?? 300000
)
this.cacheConfig.onCacheEvent?.({
type: 'set',
key: cacheKey,
durationMs: Date.now() - startTime
})
} catch (error) {
this.cacheConfig.onError?.(error as Error, 'set')
}
}
// Return result with cache metadata (miss - freshly computed)
return {
...result,
cache: {
hit: false
}
}
}
/**
* Execute a funnel analysis query
*/
private async executeFunnelQuery(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
const config = query.funnel!
// Validate funnel configuration
const validation = this.funnelQueryBuilder.validateConfig(config, cubes)
Iif (!validation.isValid) {
throw new Error(`Funnel validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Build funnel query using Drizzle query builder
// The refactored buildFunnelQuery returns a query builder with .toSQL() support
const funnelQuery = this.funnelQueryBuilder.buildFunnelQuery(config, cubes, context)
// Execute the query builder directly
const rawResult = await funnelQuery as unknown as Record<string, unknown>[]
// Transform to step rows
const funnelRows = this.funnelQueryBuilder.transformResult(rawResult, config)
// Build annotation with funnel metadata
// Note: Funnel queries have a different annotation structure
// The funnel property contains the funnel-specific metadata
const annotation: QueryResult['annotation'] & { funnel?: unknown } = {
measures: {} as Record<string, MeasureAnnotation>,
dimensions: {} as Record<string, DimensionAnnotation>,
segments: {},
timeDimensions: {} as Record<string, TimeDimensionAnnotation>
}
// Add funnel metadata to annotation (as additional property)
;(annotation as any).funnel = {
config,
steps: config.steps.map((step, index) => ({
name: step.name,
index,
timeToConvert: step.timeToConvert
}))
}
return {
data: funnelRows as unknown as Record<string, unknown>[],
annotation
}
}
/**
* Execute a flow query with caching support
*/
private async executeFlowQueryWithCache(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext,
cacheKey: string | undefined
): Promise<QueryResult> {
const result = await this.executeFlowQuery(cubes, query, securityContext)
// Cache result before returning
Iif (cacheKey && this.cacheConfig?.provider) {
try {
const startTime = Date.now()
await this.cacheConfig.provider.set(
cacheKey,
result,
this.cacheConfig.defaultTtlMs ?? 300000
)
this.cacheConfig.onCacheEvent?.({
type: 'set',
key: cacheKey,
durationMs: Date.now() - startTime
})
} catch (error) {
this.cacheConfig.onError?.(error as Error, 'set')
}
}
// Return result with cache metadata (miss - freshly computed)
return {
...result,
cache: {
hit: false
}
}
}
/**
* Execute a flow analysis query
* Produces Sankey diagram data (nodes and links)
*/
private async executeFlowQuery(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
const config = query.flow!
// Validate flow configuration
const validation = this.flowQueryBuilder.validateConfig(config, cubes)
Iif (!validation.isValid) {
throw new Error(`Flow validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Build flow query using Drizzle query builder
const flowQuery = this.flowQueryBuilder.buildFlowQuery(config, cubes, context)
// Execute the query
const rawResult = await flowQuery as unknown as Record<string, unknown>[]
// Transform to FlowResultRow (nodes and links)
const flowData = this.flowQueryBuilder.transformResult(rawResult)
// Build annotation with flow metadata
const annotation: QueryResult['annotation'] & { flow?: unknown } = {
measures: {} as Record<string, MeasureAnnotation>,
dimensions: {} as Record<string, DimensionAnnotation>,
segments: {},
timeDimensions: {} as Record<string, TimeDimensionAnnotation>
}
// Add flow metadata to annotation
;(annotation as any).flow = {
config,
startingStep: {
name: config.startingStep.name,
},
stepsBefore: config.stepsBefore,
stepsAfter: config.stepsAfter,
}
return {
data: [flowData] as unknown as Record<string, unknown>[],
annotation
}
}
/**
* Execute a retention query with caching support
*/
private async executeRetentionQueryWithCache(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext,
cacheKey: string | undefined
): Promise<QueryResult> {
const result = await this.executeRetentionQuery(cubes, query, securityContext)
// Cache result before returning
if (cacheKey && this.cacheConfig?.provider) {
try {
const startTime = Date.now()
await this.cacheConfig.provider.set(
cacheKey,
result,
this.cacheConfig.defaultTtlMs ?? 300000
)
this.cacheConfig.onCacheEvent?.({
type: 'set',
key: cacheKey,
durationMs: Date.now() - startTime
})
} catch (error) {
this.cacheConfig.onError?.(error as Error, 'set')
}
}
// Return result with cache metadata (miss - freshly computed)
return {
...result,
cache: {
hit: false
}
}
}
/**
* Execute a retention analysis query
* Calculates cohort-based retention rates
*/
private async executeRetentionQuery(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
const config = query.retention!
// Validate retention configuration
const validation = this.retentionQueryBuilder.validateConfig(config, cubes)
if (!validation.isValid) {
throw new Error(`Retention validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Build retention query using Drizzle query builder
const retentionQuery = this.retentionQueryBuilder.buildRetentionQuery(config, cubes, context)
// Execute the query
const rawResult = await retentionQuery as unknown as Record<string, unknown>[]
// Transform to RetentionResultRow
const retentionRows = this.retentionQueryBuilder.transformResult(rawResult, config)
// Build annotation with retention metadata
const annotation: QueryResult['annotation'] & { retention?: unknown } = {
measures: {} as Record<string, MeasureAnnotation>,
dimensions: {} as Record<string, DimensionAnnotation>,
segments: {},
timeDimensions: {} as Record<string, TimeDimensionAnnotation>
}
// Add retention metadata to annotation
;(annotation as any).retention = {
config,
granularity: config.granularity,
periods: config.periods,
retentionType: config.retentionType,
breakdownDimensions: config.breakdownDimensions
}
return {
data: retentionRows as unknown as Record<string, unknown>[],
annotation
}
}
/**
* Standard query execution (non-comparison)
* This is the core execution logic extracted for use by comparison queries
*/
private async executeStandardQuery(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<QueryResult> {
// Create filter cache for parameter deduplication across CTEs
const filterCache = new FilterCacheManager()
// Create query context with filter cache
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext,
filterCache
}
// Pre-build filter SQL for reuse across CTEs and main query
this.preloadFilterCache(query, filterCache, cubes, context)
// 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 }
Eif (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
Eif (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
}
}
/**
* Validate that all cubes in the query plan have proper security filtering.
* Emits a warning if a cube's sql() function doesn't return a WHERE clause.
*
* Security is critical in multi-tenant applications - this validation helps
* detect cubes that may leak data across tenants.
*/
private validateSecurityContext(queryPlan: QueryPlan, context: QueryContext): void {
// Only run validation in development or when explicitly enabled
// Use safe check for process.env to support edge runtimes (Cloudflare Workers, etc.)
const nodeEnv = typeof process !== 'undefined' ? process.env?.NODE_ENV : undefined
const warnSecurity = typeof process !== 'undefined' ? process.env?.DRIZZLE_CUBE_WARN_SECURITY : undefined
Eif (nodeEnv !== 'development' && !warnSecurity) {
return
}
// Collect all cubes in the query (primary + joined cubes + CTE cubes)
const cubesToCheck: Cube[] = [queryPlan.primaryCube]
for (const joinInfo of queryPlan.joinCubes || []) {
cubesToCheck.push(joinInfo.cube)
}
for (const cteInfo of queryPlan.preAggregationCTEs || []) {
cubesToCheck.push(cteInfo.cube)
}
// Track unique cubes to avoid duplicate warnings
const checkedCubes = new Set<string>()
// Check each cube's security context
for (const cube of cubesToCheck) {
if (checkedCubes.has(cube.name)) continue
checkedCubes.add(cube.name)
try {
// Skip warning for cubes explicitly marked as public
if (cube.public) continue
const securityResult = cube.sql(context)
// A properly secured cube should have a 'where' clause that filters by security context
// If no 'where' clause is present, the cube might be returning all data
if (!securityResult.where) {
console.warn(
`[drizzle-cube] WARNING: Cube '${cube.name}' has no security filtering. ` +
`If this cube contains public data, add 'public: true' to suppress this warning. ` +
`Otherwise, ensure sql() returns: { from: table, where: eq(table.orgId, ctx.securityContext.orgId) }`
)
}
} catch {
// If calling sql() throws, skip validation for this cube
// The actual execution will catch the error with better context
}
}
}
/**
* Build unified query that works for both single and multi-cube queries
*/
private buildUnifiedQuery(
queryPlan: any,
query: SemanticQuery,
context: QueryContext
) {
// Pre-build filter SQL for propagating filters to enable parameter deduplication
// This ensures the same filter values are shared between CTE subqueries and main query
const preBuiltFilterMap = new Map<string, SQL[]>()
if (queryPlan.preAggregationCTEs && queryPlan.preAggregationCTEs.length > 0) {
for (const cteInfo of queryPlan.preAggregationCTEs) {
if (cteInfo.propagatingFilters && cteInfo.propagatingFilters.length > 0) {
for (const propFilter of cteInfo.propagatingFilters) {
const sourceCubeName = propFilter.sourceCube.name
// Build filter SQL once if not already built for this cube
if (!preBuiltFilterMap.has(sourceCubeName)) {
const syntheticQuery: SemanticQuery = {
filters: propFilter.filters
}
const cubeMap = new Map([[sourceCubeName, propFilter.sourceCube]])
const filterSQL = this.queryBuilder.buildWhereConditions(
cubeMap,
syntheticQuery,
context
)
preBuiltFilterMap.set(sourceCubeName, filterSQL)
}
// Store the pre-built SQL in the propagating filter for reuse
const preBuiltSQL = preBuiltFilterMap.get(sourceCubeName)
if (preBuiltSQL && preBuiltSQL.length > 0) {
propFilter.preBuiltFilterSQL = preBuiltSQL.length === 1
? preBuiltSQL[0]
: and(...preBuiltSQL) as SQL
}
}
}
}
}
// Build pre-aggregation CTEs if needed
const ctes: any[] = []
const cteAliasMap = new Map<string, string>()
// Map downstream cubes to their CTE info (for cubes that join THROUGH a CTE)
const downstreamCubeMap = new Map<string, { cteAlias: string; joinKeys: Array<{ sourceColumn: string; targetColumn: string; sourceColumnObj?: any; targetColumnObj?: any }> }>()
if (queryPlan.preAggregationCTEs && queryPlan.preAggregationCTEs.length > 0) {
for (const cteInfo of queryPlan.preAggregationCTEs) {
const cte = this.cteBuilder.buildPreAggregationCTE(cteInfo, query, context, queryPlan, preBuiltFilterMap)
if (cte) {
ctes.push(cte)
cteAliasMap.set(cteInfo.cube.name, cteInfo.cteAlias)
// Build downstream cube map for cubes that should join through this CTE
if (cteInfo.downstreamJoinKeys) {
for (const downstream of cteInfo.downstreamJoinKeys) {
downstreamCubeMap.set(downstream.targetCubeName, {
cteAlias: cteInfo.cteAlias,
joinKeys: downstream.joinKeys
})
}
}
} 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)
Eif (cube && cube.measures && cube.measures[fieldName]) {
const measure = cube.measures[fieldName]
const cteColumn = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`
// For aggregate CTEs, 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
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)}.${sql.identifier(fieldName)}`.as(selectionName) as unknown as SQL
}
// For non-join-key dimensions from CTE cubes that aren't handled above,
// the original selection will be kept (which may cause SQL errors if not properly handled)
}
}
}
}
}
// Handle post-aggregation window functions
// These window functions reference a base measure and operate on aggregated data
if (query.measures) {
const allCubes = this.getCubesFromPlan(queryPlan)
for (const measureName of query.measures) {
const [cubeName, fieldName] = measureName.split('.')
const cube = allCubes.get(cubeName)
Eif (cube?.measures?.[fieldName]) {
const measure = cube.measures[fieldName]
// Check if this is a post-aggregation window function
if (MeasureBuilder.isPostAggregationWindow(measure)) {
const baseMeasureName = MeasureBuilder.getWindowBaseMeasure(measure, cubeName)
Eif (baseMeasureName) {
// Build the base measure expression fresh (without alias)
// We can't use modifiedSelections because those are aliased and SQL doesn't
// allow referencing SELECT aliases in the same SELECT clause
const [baseCubeName, baseFieldName] = baseMeasureName.split('.')
const baseCube = allCubes.get(baseCubeName)
Eif (baseCube?.measures?.[baseFieldName]) {
const baseMeasure = baseCube.measures[baseFieldName]
// Check if the base measure is from a CTE cube (hasMany relationship)
// If so, we should reference the CTE column with re-aggregation
// because the main query has its own GROUP BY
const cteInfo = queryPlan.preAggregationCTEs?.find(
(cte: any) => cte.cube?.name === baseCubeName && cte.measures?.includes(baseMeasureName)
)
let baseMeasureExpr: SQL
if (cteInfo) {
// Base measure is from a CTE - reference the CTE column
// The CTE already contains the aggregated value (e.g., totalLinesOfCode)
// But the main query may have additional GROUP BY, so we need to re-aggregate
const cteColumn = sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(baseFieldName)}`
// Apply sum() to the CTE column to re-aggregate for the main query's GROUP BY
baseMeasureExpr = sql`sum(${cteColumn})`
} else {
// Not from a CTE - build the raw aggregation expression (e.g., SUM(column))
baseMeasureExpr = this.queryBuilder.buildMeasureExpression(baseMeasure, context, baseCube)
}
// Ensure the base measure is also in the selections (for display)
if (!modifiedSelections[baseMeasureName]) {
modifiedSelections[baseMeasureName] = sql`${baseMeasureExpr}`.as(baseMeasureName) as unknown as SQL
}
// Build the window function expression
const windowExpr = this.buildPostAggregationWindowExpression(
measure,
baseMeasureExpr,
query,
context,
cube,
queryPlan
)
Eif (windowExpr) {
modifiedSelections[measureName] = sql`${windowExpr}`.as(measureName) as unknown as SQL
}
}
}
}
}
}
}
// 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
}
}
}
// Track which cubes have their security handled in JOIN ON clause
// This prevents duplicate security conditions in WHERE clause
const cubesWithSecurityInJoin = new Set<string>()
// 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)
// NOTE: For junction tables (belongsToMany), security filters STAY in WHERE clause
// because the semantics of many-to-many relationships require filtering out
// non-matching records rather than returning them as NULLs.
// The security-in-JOIN-ON logic only applies to regular LEFT JOINs (hasMany/hasOne).
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
}
// Junction table security goes in WHERE clause to properly filter records
Eif (junctionWhereConditions.length > 0) {
allWhereConditions.push(...junctionWhereConditions)
}
} catch {
// Junction table join failed, continuing
}
}
let joinTarget: any
let joinCondition: any
let securityCondition: SQL | undefined
if (cteAlias) {
// Join to CTE instead of base table - use sql table reference
joinTarget = sql`${sql.identifier(cteAlias)}`
// Build CTE join condition using the CTE alias
joinCondition = this.cteBuilder.buildCTEJoinCondition(joinCube, cteAlias, queryPlan)
// CTE already has security applied inside it, don't apply again
securityCondition = undefined
} else {
// Check if this cube should join through a CTE (downstream cube)
// Example: Teams joins through EmployeeTeams CTE when EmployeeTeams has measures
const downstreamInfo = downstreamCubeMap.get(joinCube.cube.name)
// Regular join to base table
// Get the cube's SQL definition ONCE to avoid SQL object mutation issues
const joinCubeBase = joinCube.cube.sql(context)
joinTarget = joinCubeBase.from
// Get security condition for this cube (for LEFT JOINs, will be added to ON clause)
securityCondition = joinCubeBase.where
Iif (downstreamInfo) {
// This cube joins THROUGH a CTE - build join condition referencing CTE alias
// e.g., Teams.id = employeeteams_agg.team_id
const conditions: SQL[] = []
for (const joinKey of downstreamInfo.joinKeys) {
// Source column is in the CTE (e.g., team_id in employeeteams_agg)
const cteCol = sql`${sql.identifier(downstreamInfo.cteAlias)}.${sql.identifier(joinKey.sourceColumn)}`
// Target column is in the downstream cube's table (e.g., id in teams)
const targetCol = joinKey.targetColumnObj || sql.identifier(joinKey.targetColumn)
conditions.push(eq(cteCol as any, targetCol as any))
}
joinCondition = conditions.length === 1 ? conditions[0] : and(...conditions)
} else {
// Standard join using original join condition
joinCondition = joinCube.joinCondition
}
}
const cubeJoinType = joinCube.joinType || 'left'
// For LEFT/RIGHT/FULL JOINs, include security in ON clause
// For INNER JOINs, security can go in WHERE (no difference in behavior)
const effectiveJoinCondition =
cubeJoinType !== 'inner' && securityCondition
? and(joinCondition, securityCondition)
: joinCondition
try {
switch (cubeJoinType) {
case 'left':
drizzleQuery = drizzleQuery.leftJoin(joinTarget, effectiveJoinCondition)
// Track that this cube's security is handled in JOIN ON
if (securityCondition) {
cubesWithSecurityInJoin.add(joinCube.cube.name)
}
break
case 'inner':
drizzleQuery = drizzleQuery.innerJoin(joinTarget, joinCondition)
// Security can go in WHERE for INNER JOINs (no difference)
break
case 'right':
drizzleQuery = drizzleQuery.rightJoin(joinTarget, effectiveJoinCondition)
if (securityCondition) {
cubesWithSecurityInJoin.add(joinCube.cube.name)
}
break
case 'full':
drizzleQuery = drizzleQuery.fullJoin(joinTarget, effectiveJoinCondition)
if (securityCondition) {
cubesWithSecurityInJoin.add(joinCube.cube.name)
}
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
}
// Skip cubes whose security is already in JOIN ON clause (for LEFT/RIGHT/FULL JOINs)
// This prevents duplicate security conditions and preserves NULL rows in LEFT JOINs
if (cubesWithSecurityInJoin.has(joinCube.cube.name)) {
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
// Pass preBuiltFilterMap to reuse filter SQL and deduplicate parameters
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
preBuiltFilterMap // Reuse pre-built filters for parameter deduplication
)
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 for a funnel query without execution (dry-run)
* Returns the actual CTE-based SQL that would be executed
*/
async dryRunFunnel(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<{ sql: string; params?: any[] }> {
// Validate funnel query
if (!this.funnelQueryBuilder.hasFunnel(query)) {
throw new Error('Query does not contain a valid funnel configuration')
}
const config = query.funnel!
// Validate funnel configuration
const validation = this.funnelQueryBuilder.validateConfig(config, cubes)
if (!validation.isValid) {
throw new Error(`Funnel validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Build funnel query using Drizzle query builder
// The refactored buildFunnelQuery returns a query builder with .toSQL() support
const funnelQuery = this.funnelQueryBuilder.buildFunnelQuery(config, cubes, context)
// Use .toSQL() to get the SQL string and parameters
// This now works because buildFunnelQuery returns a Drizzle query builder
const sqlObj = funnelQuery.toSQL()
return {
sql: sqlObj.sql,
params: sqlObj.params
}
}
/**
* Generate SQL for a flow query without execution (dry-run)
* Returns the actual CTE-based SQL that would be executed
*/
async dryRunFlow(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<{ sql: string; params?: any[] }> {
// Validate flow query
if (!this.flowQueryBuilder.hasFlow(query)) {
throw new Error('Query does not contain a valid flow configuration')
}
const config = query.flow!
// Validate flow configuration
const validation = this.flowQueryBuilder.validateConfig(config, cubes)
if (!validation.isValid) {
throw new Error(`Flow validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Build flow query using Drizzle query builder
const flowQuery = this.flowQueryBuilder.buildFlowQuery(config, cubes, context)
// Use .toSQL() to get the SQL string and parameters
const sqlObj = flowQuery.toSQL()
return {
sql: sqlObj.sql,
params: sqlObj.params
}
}
/**
* Generate SQL for a retention query without execution (dry-run)
* Returns the actual CTE-based SQL that would be executed
*/
async dryRunRetention(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext
): Promise<{ sql: string; params?: any[] }> {
// Validate retention query
if (!this.retentionQueryBuilder.hasRetention(query)) {
throw new Error('Query does not contain a valid retention configuration')
}
const config = query.retention!
// Validate retention configuration
const validation = this.retentionQueryBuilder.validateConfig(config, cubes)
if (!validation.isValid) {
throw new Error(`Retention validation failed: ${validation.errors.join(', ')}`)
}
// Create query context
const context: QueryContext = {
db: this.dbExecutor.db,
schema: this.dbExecutor.schema,
securityContext
}
// Build retention query using Drizzle query builder
const retentionQuery = this.retentionQueryBuilder.buildRetentionQuery(config, cubes, context)
// Use .toSQL() to get the SQL string and parameters
const sqlObj = retentionQuery.toSQL()
return {
sql: sqlObj.sql,
params: sqlObj.params
}
}
/**
* Execute EXPLAIN on a query to get the execution plan
* Generates the SQL using the same secure path as execute/generateSQL,
* then runs EXPLAIN on the database.
*/
async explainQuery(
cubes: Map<string, Cube>,
query: SemanticQuery,
securityContext: SecurityContext,
options?: ExplainOptions
): Promise<ExplainResult> {
// Generate the SQL using the appropriate method
let sqlResult: { sql: string; params?: any[] }
if (this.funnelQueryBuilder.hasFunnel(query)) {
sqlResult = await this.dryRunFunnel(cubes, query, securityContext)
} else if (this.flowQueryBuilder.hasFlow(query)) {
sqlResult = await this.dryRunFlow(cubes, query, securityContext)
} else if (this.retentionQueryBuilder.hasRetention(query)) {
sqlResult = await this.dryRunRetention(cubes, query, securityContext)
} else {
sqlResult = await this.generateUnifiedSQL(cubes, query, securityContext)
}
// Execute EXPLAIN using the database executor
return this.dbExecutor.explainQuery(
sqlResult.sql,
sqlResult.params || [],
options
)
}
/**
* 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].filter(Boolean)
if (queryPlan.joinCubes && queryPlan.joinCubes.length > 0) {
allCubes.push(...queryPlan.joinCubes.map((jc: any) => jc.cube).filter(Boolean))
}
// 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?.[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
}
}
/**
* Pre-build filter SQL and store in cache for reuse across CTEs and main query
* This enables parameter deduplication - the same filter values are shared
* rather than appearing as separate parameters in different parts of the query
*/
private preloadFilterCache(
query: SemanticQuery,
filterCache: FilterCacheManager,
cubes: Map<string, Cube>,
context: QueryContext
): void {
// Pre-build regular filters
if (query.filters && query.filters.length > 0) {
// Flatten nested AND/OR filters to get individual conditions
const flatFilters = flattenFilters(query.filters)
for (const filter of flatFilters) {
const key = getFilterKey(filter)
// Skip if already cached (from a previous filter in the same query)
if (filterCache.has(key)) continue
// Find the cube for this filter's member
const [cubeName, fieldName] = filter.member.split('.')
const cube = cubes.get(cubeName)
Iif (!cube) continue
const dimension = cube.dimensions?.[fieldName]
if (!dimension) continue
// 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(filter.operator)
if (isArrayOperator) {
// Skip caching array operator filters - they require special column handling
// and will be built fresh each time to ensure proper array encoding
continue
}
// Build the filter SQL using the query builder
const fieldExpr = resolveSqlExpression(dimension.sql, context)
const filterSQL = this.queryBuilder.buildFilterConditionPublic(
fieldExpr,
filter.operator,
filter.values,
dimension,
filter.dateRange
)
if (filterSQL) {
filterCache.set(key, filterSQL)
}
}
// NOTE: We do NOT cache logical filters (AND/OR) because they can contain
// mixed cube references. When some cubes are in CTEs, the cached version
// would reference wrong table contexts. Individual simple filters within
// logical filters are still cached for deduplication.
}
// Pre-build time dimension date range filters
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
if (timeDim.dateRange) {
const key = getTimeDimensionFilterKey(timeDim.dimension, timeDim.dateRange)
// Skip if already cached
Iif (filterCache.has(key)) continue
const [cubeName, fieldName] = timeDim.dimension.split('.')
const cube = cubes.get(cubeName)
Iif (!cube) continue
const dimension = cube.dimensions?.[fieldName]
Iif (!dimension) continue
const fieldExpr = resolveSqlExpression(dimension.sql, context)
const dateCondition = this.queryBuilder.buildDateRangeCondition(fieldExpr, timeDim.dateRange)
if (dateCondition) {
filterCache.set(key, dateCondition)
}
}
}
}
}
/**
* Build post-aggregation window function expression
*
* Post-aggregation windows operate on already-aggregated data:
* 1. The base measure is aggregated (e.g., SUM(revenue))
* 2. The window function is applied (e.g., LAG(...) OVER ORDER BY date)
* 3. An optional operation is applied (e.g., current - previous)
*
* @param measure - The window function measure definition
* @param baseMeasureExpr - The aggregated base measure expression
* @param query - The semantic query (for dimension context)
* @param context - Query context
* @param cube - The cube containing this measure
* @returns SQL expression for the window function
*/
private buildPostAggregationWindowExpression(
measure: any,
baseMeasureExpr: any,
query: SemanticQuery,
context: QueryContext,
cube: Cube,
queryPlan?: any
): SQL | null {
const windowConfig = measure.windowConfig || {}
// Helper to check if a dimension's cube is in a CTE
// If so, return the CTE's pre-computed column reference instead of re-computing
const getCTEDimensionExpr = (dimCubeName: string, fieldName: string): SQL | null => {
if (!queryPlan?.preAggregationCTEs) return null
const cteInfo = queryPlan.preAggregationCTEs.find((cte: any) => cte.cube?.name === dimCubeName)
Eif (cteInfo && cteInfo.cteAlias) {
// Check if this dimension is in the CTE's selections (time dimensions are included)
// We reference the CTE's pre-computed column directly
return sql`${sql.identifier(cteInfo.cteAlias)}.${sql.identifier(fieldName)}`
}
return null
}
// Build ORDER BY expression for the window function
// Use time dimensions or specified orderBy fields
type OrderByExpr = { field: any; direction: 'asc' | 'desc' }
let orderByExprs: OrderByExpr[] | undefined
if (windowConfig.orderBy && windowConfig.orderBy.length > 0) {
orderByExprs = windowConfig.orderBy
.map((orderSpec: { field: string; direction: 'asc' | 'desc' }): OrderByExpr | null => {
const fieldName = orderSpec.field.includes('.') ? orderSpec.field.split('.')[1] : orderSpec.field
// First check if it's a time dimension in the query (with granularity)
// This takes priority because time dimensions need the granularity-applied expression
if (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
const [timeDimCubeName, timeDimField] = timeDim.dimension.split('.')
if (timeDimField === fieldName) {
// Check if this dimension's cube is in a CTE
// If so, use the CTE's pre-computed date column
const cteExpr = getCTEDimensionExpr(timeDimCubeName, fieldName)
if (cteExpr) {
return {
field: cteExpr,
direction: orderSpec.direction
}
}
// Not from CTE - build the time dimension expression with granularity
const timeDimension = cube.dimensions?.[timeDimField]
if (timeDimension) {
return {
field: this.queryBuilder.buildTimeDimensionExpression(
timeDimension.sql,
timeDim.granularity,
context
),
direction: orderSpec.direction
}
}
}
}
}
// Fall back to regular dimensions if not a time dimension
const dimension = cube.dimensions?.[fieldName]
Iif (dimension) {
return {
field: resolveSqlExpression(dimension.sql, context),
direction: orderSpec.direction
}
}
// Check if the ORDER BY field references the base measure itself
// This is common for RANK/DENSE_RANK where we order by the aggregated value
const baseMeasureFieldName = windowConfig.measure?.includes('.')
? windowConfig.measure.split('.')[1]
: windowConfig.measure
if (fieldName === baseMeasureFieldName || orderSpec.field === windowConfig.measure) {
// Use the base measure expression for ordering
return {
field: baseMeasureExpr,
direction: orderSpec.direction
}
}
return null
})
.filter((expr: OrderByExpr | null): expr is OrderByExpr => expr !== null)
E} else if (query.timeDimensions && query.timeDimensions.length > 0) {
// Default to first time dimension for ordering
const timeDim = query.timeDimensions[0]
const [timeCubeName, timeDimField] = timeDim.dimension.split('.')
// Check if the time dimension's cube is in a CTE
const cteExpr = getCTEDimensionExpr(timeCubeName, timeDimField)
if (cteExpr) {
orderByExprs = [{
field: cteExpr,
direction: 'asc' as const
}]
} else {
const timeCube = cube.name === timeCubeName ? cube : undefined
if (timeCube?.dimensions?.[timeDimField]) {
const timeDimension = timeCube.dimensions[timeDimField]
orderByExprs = [{
field: this.queryBuilder.buildTimeDimensionExpression(
timeDimension.sql,
timeDim.granularity,
context
),
direction: 'asc' as const
}]
}
}
}
// Build PARTITION BY expression if specified
let partitionByExprs: any[] | undefined
Iif (windowConfig.partitionBy && windowConfig.partitionBy.length > 0) {
partitionByExprs = windowConfig.partitionBy
.map((dimRef: string) => {
const dimName = dimRef.includes('.') ? dimRef.split('.')[1] : dimRef
const dimension = cube.dimensions?.[dimName]
if (dimension) {
return resolveSqlExpression(dimension.sql, context)
}
return null
})
.filter((expr: any): expr is any => expr !== null)
}
// Build the base window function using the database adapter
const windowResult = this.databaseAdapter.buildWindowFunction(
measure.type,
baseMeasureExpr,
partitionByExprs,
orderByExprs,
{
offset: windowConfig.offset,
defaultValue: windowConfig.defaultValue,
nTile: windowConfig.nTile,
frame: windowConfig.frame
}
)
Iif (!windowResult) {
return null
}
// Apply the operation (difference, ratio, percentChange)
const operation = windowConfig.operation || MeasureBuilder.getDefaultWindowOperation(measure.type)
switch (operation) {
case 'difference':
// For LAG: current - previous (baseMeasure - LAG(baseMeasure))
// For LEAD: current - next (baseMeasure - LEAD(baseMeasure))
return sql`${baseMeasureExpr} - ${windowResult}`
case 'ratio':
// current / window (with NULL protection)
return sql`${baseMeasureExpr} / NULLIF(${windowResult}, 0)`
case 'percentChange':
// ((current - window) / window) * 100
return sql`((${baseMeasureExpr} - ${windowResult}) / NULLIF(${windowResult}, 0)) * 100`
case 'raw':
default:
// Return the window function result directly
return windowResult
}
}
} |