SQLConf¶

SQLConf is an internal configuration store of the configuration properties and hints used in Spark SQL.

SQLConf offers methods to get, set, unset or clear values of the configuration properties and hints as well as to read the current values.

Accessing SQLConf¶

You can access a SQLConf using:

• SQLConf.get (preferred) - the SQLConf of the current active SparkSession

• SessionState - direct access through SessionState of the SparkSession of your choice (that gives more flexibility on what SparkSession is used that can be different from the current active SparkSession)

import org.apache.spark.sql.internal.SQLConf

// Use type-safe access to configuration properties
// using SQLConf.get.getConf
val parallelFileListingInStatsComputation = SQLConf.get.getConf(SQLConf.PARALLEL_FILE_LISTING_IN_STATS_COMPUTATION)

// or even simpler
SQLConf.get.parallelFileListingInStatsComputation

scala> :type spark
org.apache.spark.sql.SparkSession

// Direct access to the session SQLConf
val sqlConf = spark.sessionState.conf
scala> :type sqlConf
org.apache.spark.sql.internal.SQLConf

scala> println(sqlConf.offHeapColumnVectorEnabled)
false

// Or simply import the conf value
import spark.sessionState.conf

// accessing properties through accessor methods
scala> conf.numShufflePartitions
res1: Int = 200

// Prefer SQLConf.get (over direct access)
import org.apache.spark.sql.internal.SQLConf
val cc = SQLConf.get
scala> cc == conf
res4: Boolean = true

// setting properties using aliases
import org.apache.spark.sql.internal.SQLConf.SHUFFLE_PARTITIONS
conf.setConf(SHUFFLE_PARTITIONS, 2)
scala> conf.numShufflePartitions
res2: Int = 2

// unset aka reset properties to the default value
conf.unsetConf(SHUFFLE_PARTITIONS)
scala> conf.numShufflePartitions
res3: Int = 200

ADAPTIVE_AUTO_BROADCASTJOIN_THRESHOLD¶

spark.sql.adaptive.autoBroadcastJoinThreshold

Used when:

• JoinSelectionHelper is requested to canBroadcastBySize

ADAPTIVE_EXECUTION_FORCE_APPLY¶

spark.sql.adaptive.forceApply configuration property

Used when:

• InsertAdaptiveSparkPlan physical optimization is executed

adaptiveExecutionEnabled¶

The value of spark.sql.adaptive.enabled configuration property

Used when:

• InsertAdaptiveSparkPlan physical optimization is executed
• SQLConf is requested for the numShufflePartitions

adaptiveExecutionLogLevel¶

The value of spark.sql.adaptive.logLevel configuration property

Used when AdaptiveSparkPlanExec physical operator is executed

ADAPTIVE_MAX_SHUFFLE_HASH_JOIN_LOCAL_MAP_THRESHOLD¶

spark.sql.adaptive.maxShuffledHashJoinLocalMapThreshold configuration property

Used when:

• DynamicJoinSelection is requested to preferShuffledHashJoin

ADAPTIVE_OPTIMIZER_EXCLUDED_RULES¶

spark.sql.adaptive.optimizer.excludedRules

ADVISORY_PARTITION_SIZE_IN_BYTES¶

spark.sql.adaptive.advisoryPartitionSizeInBytes configuration property

Used when:

• CoalesceShufflePartitions and OptimizeSkewedJoin physical optimizations are executed

autoBroadcastJoinThreshold¶

The value of spark.sql.autoBroadcastJoinThreshold configuration property

Used when:

• JoinSelection execution planning strategy is executed

autoBucketedScanEnabled¶

The value of spark.sql.sources.bucketing.autoBucketedScan.enabled configuration property

Used when:

• DisableUnnecessaryBucketedScan physical optimization is executed

allowStarWithSingleTableIdentifierInCount¶

spark.sql.legacy.allowStarWithSingleTableIdentifierInCount

Used when:

• ResolveReferences logical resolution rule is executed

arrowPySparkSelfDestructEnabled¶

spark.sql.execution.arrow.pyspark.selfDestruct.enabled

Used when:

• PandasConversionMixin is requested to toPandas

allowAutoGeneratedAliasForView¶

spark.sql.legacy.allowAutoGeneratedAliasForView

Used when:

• ViewHelper utility is used to verifyAutoGeneratedAliasesNotExists

allowNonEmptyLocationInCTAS¶

spark.sql.legacy.allowNonEmptyLocationInCTAS

Used when:

• DataWritingCommand utility is used to assertEmptyRootPath

allowNonEmptyLocationInCTAS¶

spark.sql.adaptive.optimizeSkewsInRebalancePartitions.enabled

Used when:

• OptimizeSkewInRebalancePartitions physical optimization is executed

ADAPTIVE_CUSTOM_COST_EVALUATOR_CLASS¶

spark.sql.adaptive.customCostEvaluatorClass

autoSizeUpdateEnabled¶

The value of spark.sql.statistics.size.autoUpdate.enabled configuration property

Used when:

• CommandUtils is requested for updating existing table statistics
• AlterTableAddPartitionCommand logical command is executed

avroCompressionCodec¶

The value of spark.sql.avro.compression.codec configuration property

Used when AvroOptions is requested for the compression configuration property (and it was not set explicitly)

broadcastTimeout¶

The value of spark.sql.broadcastTimeout configuration property

Used in BroadcastExchangeExec (for broadcasting a table to executors)

bucketingEnabled¶

The value of spark.sql.sources.bucketing.enabled configuration property

Used when FileSourceScanExec physical operator is requested for the input RDD and to determine output partitioning and ordering

cacheVectorizedReaderEnabled¶

The value of spark.sql.inMemoryColumnarStorage.enableVectorizedReader configuration property

Used when InMemoryTableScanExec physical operator is requested for supportsBatch flag.

CAN_CHANGE_CACHED_PLAN_OUTPUT_PARTITIONING¶

spark.sql.optimizer.canChangeCachedPlanOutputPartitioning

Used when:

• CacheManager is requested to getOrCloneSessionWithConfigsOff

caseSensitiveAnalysis¶

The value of spark.sql.caseSensitive configuration property

cboEnabled¶

The value of spark.sql.cbo.enabled configuration property

Used in:

• ReorderJoin logical plan optimization (and indirectly in StarSchemaDetection for reorderStarJoins)
• CostBasedJoinReorder logical plan optimization

cliPrintHeader¶

spark.sql.cli.print.header

Used when:

• SparkSQLCLIDriver is requested to processCmd

coalesceBucketsInJoinEnabled¶

The value of spark.sql.bucketing.coalesceBucketsInJoin.enabled configuration property

Used when:

• CoalesceBucketsInJoin physical optimization is executed

COALESCE_PARTITIONS_MIN_PARTITION_SIZE¶

spark.sql.adaptive.coalescePartitions.minPartitionSize configuration property

Used when:

• CoalesceShufflePartitions physical optimization is executed

COALESCE_PARTITIONS_PARALLELISM_FIRST¶

spark.sql.adaptive.coalescePartitions.parallelismFirst configuration property

Used when:

• CoalesceShufflePartitions physical optimization is executed

coalesceShufflePartitionsEnabled¶

The value of spark.sql.adaptive.coalescePartitions.enabled configuration property

Used when:

• CoalesceShufflePartitions and EnsureRequirements physical optimizations are executed

codegenCacheMaxEntries¶

spark.sql.codegen.cache.maxEntries

columnBatchSize¶

The value of spark.sql.inMemoryColumnarStorage.batchSize configuration property

Used when:

• CacheManager is requested to cache a structured query
• RowToColumnarExec physical operator is requested to doExecuteColumnar

constraintPropagationEnabled¶

The value of spark.sql.constraintPropagation.enabled configuration property

Used when:

• InferFiltersFromConstraints logical optimization is executed
• QueryPlanConstraints is requested for the constraints

CONVERT_METASTORE_ORC¶

The value of spark.sql.hive.convertMetastoreOrc configuration property

Used when RelationConversions logical post-hoc evaluation rule is executed (and requested to isConvertible)

CONVERT_METASTORE_PARQUET¶

The value of spark.sql.hive.convertMetastoreParquet configuration property

Used when RelationConversions logical post-hoc evaluation rule is executed (and requested to isConvertible)

csvExpressionOptimization¶

spark.sql.optimizer.enableCsvExpressionOptimization

Used when:

• OptimizeCsvJsonExprs logical optimization is executed

dataFramePivotMaxValues¶

The value of spark.sql.pivotMaxValues configuration property

Used in pivot operator.

dataFrameRetainGroupColumns¶

spark.sql.retainGroupColumns

decorrelateInnerQueryEnabled¶

spark.sql.optimizer.decorrelateInnerQuery.enabled

Used when:

• CheckAnalysis is requested to checkCorrelationsInSubquery (with a Project unary logical operator)
• PullupCorrelatedPredicates logical optimization is executed

DEFAULT_CATALOG¶

The value of spark.sql.defaultCatalog configuration property

Used when CatalogManager is requested for the current CatalogPlugin

defaultDataSourceName¶

spark.sql.sources.default

defaultSizeInBytes¶

spark.sql.defaultSizeInBytes

Used when:

• DetermineTableStats logical resolution rule could not compute the table size or spark.sql.statistics.fallBackToHdfs is disabled
• ExternalRDD, LogicalRDD and DataSourceV2Relation are requested to compute stats
• (Spark Structured Streaming) StreamingRelation, StreamingExecutionRelation, StreamingRelationV2 and ContinuousExecutionRelation are requested for statistics (i.e. computeStats)
• DataSource creates a HadoopFsRelation for FileFormat data source (and builds a CatalogFileIndex when no table statistics are available)
• BaseRelation is requested for an estimated size of this relation (in bytes)

dynamicPartitionPruningEnabled¶

spark.sql.optimizer.dynamicPartitionPruning.enabled

dynamicPartitionPruningFallbackFilterRatio¶

The value of spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio configuration property

Used when:

• PartitionPruning logical optimization rule is executed

dynamicPartitionPruningPruningSideExtraFilterRatio¶

The value of spark.sql.optimizer.dynamicPartitionPruning.pruningSideExtraFilterRatio configuration property

Used when:

• PartitionPruning logical optimization rule is executed

dynamicPartitionPruningReuseBroadcastOnly¶

spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly

dynamicPartitionPruningUseStats¶

spark.sql.optimizer.dynamicPartitionPruning.useStats

ENABLE_FULL_OUTER_SHUFFLED_HASH_JOIN_CODEGEN¶

spark.sql.codegen.join.fullOuterShuffledHashJoin.enabled

enableDefaultColumns¶

spark.sql.defaultColumn.enabled

enableRadixSort¶

spark.sql.sort.enableRadixSort

Used when:

• SortExec physical operator is requested to create an UnsafeExternalRowSorter.

enableTwoLevelAggMap¶

spark.sql.codegen.aggregate.map.twolevel.enabled

enableVectorizedHashMap¶

spark.sql.codegen.aggregate.map.vectorized.enable

exchangeReuseEnabled¶

spark.sql.exchange.reuse

Used when:

• AdaptiveSparkPlanExec physical operator is requested to createQueryStages

• PartitionPruning logical optimization rule is executed.

• PlanDynamicPruningFilters and ReuseExchange physical optimizations are executed

fallBackToHdfsForStatsEnabled¶

spark.sql.statistics.fallBackToHdfs

Used when DetermineTableStats logical resolution rule is executed.

fastHashAggregateRowMaxCapacityBit¶

spark.sql.codegen.aggregate.fastHashMap.capacityBit

fetchShuffleBlocksInBatch¶

The value of spark.sql.adaptive.fetchShuffleBlocksInBatch configuration property

Used when ShuffledRowRDD is created

fileCommitProtocolClass¶

spark.sql.sources.commitProtocolClass

fileCompressionFactor¶

The value of spark.sql.sources.fileCompressionFactor configuration property

Used when:

• HadoopFsRelation is requested for a size
• FileScan is requested to estimate statistics

filesMaxPartitionBytes¶

spark.sql.files.maxPartitionBytes

filesMinPartitionNum¶

spark.sql.files.minPartitionNum

filesOpenCostInBytes¶

spark.sql.files.openCostInBytes

filesourcePartitionFileCacheSize¶

spark.sql.hive.filesourcePartitionFileCacheSize

histogramEnabled¶

The value of spark.sql.statistics.histogram.enabled configuration property

Used when AnalyzeColumnCommand logical command is executed.

histogramNumBins¶

spark.sql.statistics.histogram.numBins

Used when AnalyzeColumnCommand is AnalyzeColumnCommand.md#run[executed] with configuration-properties.md#spark.sql.statistics.histogram.enabled[spark.sql.statistics.histogram.enabled] turned on (and AnalyzeColumnCommand.md#computePercentiles[calculates percentiles]).

HIVE_TABLE_PROPERTY_LENGTH_THRESHOLD¶

spark.sql.hive.tablePropertyLengthThreshold

Used when:

• CatalogTable is requested to splitLargeTableProp

hugeMethodLimit¶

spark.sql.codegen.hugeMethodLimit

ignoreCorruptFiles¶

The value of spark.sql.files.ignoreCorruptFiles configuration property

Used when:

• AvroUtils utility is requested to inferSchema
• OrcFileFormat is requested to inferSchema and buildReader
• FileScanRDD is created (and then to compute a partition)
• SchemaMergeUtils utility is requested to mergeSchemasInParallel
• OrcUtils utility is requested to readSchema
• FilePartitionReader is requested to ignoreCorruptFiles

ignoreMissingFiles¶

The value of spark.sql.files.ignoreMissingFiles configuration property

Used when:

• FileScanRDD is created (and then to compute a partition)
• InMemoryFileIndex utility is requested to bulkListLeafFiles
• FilePartitionReader is requested to ignoreMissingFiles

inMemoryPartitionPruning¶

spark.sql.inMemoryColumnarStorage.partitionPruning

isParquetBinaryAsString¶

spark.sql.parquet.binaryAsString

isParquetINT96AsTimestamp¶

spark.sql.parquet.int96AsTimestamp

isParquetINT96TimestampConversion¶

spark.sql.parquet.int96TimestampConversion

Used when ParquetFileFormat is requested to build a data reader with partition column values appended.

isParquetSchemaMergingEnabled¶

spark.sql.parquet.mergeSchema

isParquetSchemaRespectSummaries¶

spark.sql.parquet.respectSummaryFiles

Used when:

• ParquetUtils is used to inferSchema

joinReorderEnabled¶

spark.sql.cbo.joinReorder.enabled

Used in CostBasedJoinReorder logical plan optimization

legacyIntervalEnabled¶

spark.sql.legacy.interval.enabled

Used when:

• SubtractTimestamps expression is created
• SubtractDates expression is created
• AstBuilder is requested to visitTypeConstructor and visitInterval

limitScaleUpFactor¶

spark.sql.limit.scaleUpFactor

Used when a physical operator is requested the first n rows as an array.

LOCAL_SHUFFLE_READER_ENABLED¶

spark.sql.adaptive.localShuffleReader.enabled

Used when:

• OptimizeShuffleWithLocalRead adaptive physical optimization is executed

manageFilesourcePartitions¶

spark.sql.hive.manageFilesourcePartitions

maxConcurrentOutputFileWriters¶

The value of spark.sql.maxConcurrentOutputFileWriters configuration property

Used when:

• FileFormatWriter is requested to write out a query result

maxMetadataStringLength¶

spark.sql.maxMetadataStringLength

Used when:

• DataSourceScanExec is requested for simpleString
• FileScan is requested for description and metadata
• HiveTableRelation is requested for simpleString

maxRecordsPerFile¶

spark.sql.files.maxRecordsPerFile

Used when:

• FileFormatWriter utility is used to write out a query result
• FileWrite is requested for a BatchWrite

maxToStringFields¶

The value of spark.sql.debug.maxToStringFields configuration property

metastorePartitionPruning¶

spark.sql.hive.metastorePartitionPruning

Used when HiveTableScanExec physical operator is executed with a partitioned table (and requested for rawPartitions)

methodSplitThreshold¶

spark.sql.codegen.methodSplitThreshold

Used when:

• Expression is requested to reduceCodeSize
• CodegenContext is requested to buildCodeBlocks and subexpressionEliminationForWholeStageCodegen
• ExpandExec physical operator is requested to doConsume
• HashAggregateExec physical operator is requested to generateEvalCodeForAggFuncs

minNumPostShufflePartitions¶

spark.sql.adaptive.minNumPostShufflePartitions

Used when EnsureRequirements physical optimization is executed (for Adaptive Query Execution).

nestedSchemaPruningEnabled¶

The value of spark.sql.optimizer.nestedSchemaPruning.enabled configuration property

Used when SchemaPruning, ColumnPruning and V2ScanRelationPushDown logical optimizations are executed

nonEmptyPartitionRatioForBroadcastJoin¶

The value of spark.sql.adaptive.nonEmptyPartitionRatioForBroadcastJoin configuration property

Used when:

• DynamicJoinSelection adaptive logical optimization is executed (and shouldDemoteBroadcastHashJoin)

numShufflePartitions¶

spark.sql.shuffle.partitions

offHeapColumnVectorEnabled¶

spark.sql.columnVector.offheap.enabled

rangeExchangeSampleSizePerPartition¶

The value of spark.sql.execution.rangeExchange.sampleSizePerPartition configuration property

Used when:

• ShuffleExchangeExec physical operator is executed

REMOVE_REDUNDANT_SORTS_ENABLED¶

The value of spark.sql.execution.removeRedundantSorts configuration property

Used when:

• RemoveRedundantSorts physical optimization is executed

REPLACE_HASH_WITH_SORT_AGG_ENABLED¶

spark.sql.execution.replaceHashWithSortAgg

runtimeFilterBloomFilterEnabled¶

spark.sql.optimizer.runtime.bloomFilter.enabled

RUNTIME_BLOOM_FILTER_MAX_NUM_BITS¶

spark.sql.optimizer.runtime.bloomFilter.maxNumBits

RUNTIME_FILTER_NUMBER_THRESHOLD¶

spark.sql.optimizer.runtimeFilter.number.threshold

runtimeFilterSemiJoinReductionEnabled¶

spark.sql.optimizer.runtimeFilter.semiJoinReduction.enabled

SKEW_JOIN_SKEWED_PARTITION_FACTOR¶

spark.sql.adaptive.skewJoin.skewedPartitionFactor configuration property

Used when:

• OptimizeSkewedJoin physical optimization is executed

SKEW_JOIN_SKEWED_PARTITION_THRESHOLD¶

spark.sql.adaptive.skewJoin.skewedPartitionThresholdInBytes configuration property

Used when:

• OptimizeSkewedJoin physical optimization is executed

SKEW_JOIN_ENABLED¶

spark.sql.adaptive.skewJoin.enabled configuration property

Used when:

• OptimizeSkewedJoin physical optimization is executed

objectAggSortBasedFallbackThreshold¶

spark.sql.objectHashAggregate.sortBased.fallbackThreshold

offHeapColumnVectorEnabled¶

spark.sql.columnVector.offheap.enabled

Used when:

• InMemoryTableScanExec is requested for the vectorTypes and the input RDD
• OrcFileFormat is requested to buildReaderWithPartitionValues
• ParquetFileFormat is requested for vectorTypes and build a data reader with partition column values appended

OPTIMIZE_ONE_ROW_RELATION_SUBQUERY¶

spark.sql.optimizer.optimizeOneRowRelationSubquery

Used when:

• OptimizeOneRowRelationSubquery logical optimization is executed

optimizeNullAwareAntiJoin¶

spark.sql.optimizeNullAwareAntiJoin configuration property

Used when:

• ExtractSingleColumnNullAwareAntiJoin Scala extractor is executed

optimizerExcludedRules¶

The value of spark.sql.optimizer.excludedRules configuration property

Used when Optimizer is requested for the batches

optimizerInSetConversionThreshold¶

spark.sql.optimizer.inSetConversionThreshold

Used when OptimizeIn logical query optimization is executed

orcVectorizedReaderNestedColumnEnabled¶

spark.sql.orc.enableNestedColumnVectorizedReader

Used when:

• OrcFileFormat is requested to supportBatchForNestedColumn

OUTPUT_COMMITTER_CLASS¶

spark.sql.sources.outputCommitterClass

Used when:

• SQLHadoopMapReduceCommitProtocol is requested to setupCommitter
• ParquetFileFormat is requested to prepareWrite
• ParquetWrite is requested to prepareWrite

parallelFileListingInStatsComputation¶

spark.sql.statistics.parallelFileListingInStatsComputation.enabled

Used when CommandUtils helper object is requested to calculate the total size of a table (with partitions) (for AnalyzeColumnCommand and AnalyzeTableCommand commands)

parquetAggregatePushDown¶

spark.sql.parquet.aggregatePushdown

parquetCompressionCodec¶

spark.sql.parquet.compression.codec

Used when:

• ParquetOptions is requested for compressionCodecClassName

parquetFilterPushDown¶

spark.sql.parquet.filterPushdown

parquetFilterPushDownDate¶

spark.sql.parquet.filterPushdown.date

Used when:

• ParquetFileFormat is requested to build a data reader (with partition column values appended)

parquetFilterPushDownDecimal¶

spark.sql.parquet.filterPushdown.decimal

Used when:

• ParquetFileFormat is requested to build a data reader (with partition column values appended)
• ParquetPartitionReaderFactory is requested to buildReaderBase
• ParquetScanBuilder is requested for pushedParquetFilters

parquetFilterPushDownInFilterThreshold¶

spark.sql.parquet.pushdown.inFilterThreshold

Used when:

• ParquetFileFormat is requested to build a data reader (with partition column values appended)
• ParquetPartitionReaderFactory is requested to buildReaderBase
• ParquetScanBuilder is requested for pushedParquetFilters

parquetFilterPushDownStringPredicate¶

spark.sql.parquet.filterPushdown.stringPredicate

parquetFilterPushDownStringStartWith¶

spark.sql.parquet.filterPushdown.string.startsWith

parquetFilterPushDownTimestamp¶

spark.sql.parquet.filterPushdown.timestamp

Used when:

• ParquetFileFormat is requested to build a data reader (with partition column values appended)
• ParquetPartitionReaderFactory is requested to buildReaderBase
• ParquetScanBuilder is requested for pushedParquetFilters

parquetOutputCommitterClass¶

spark.sql.parquet.output.committer.class

Used when:

• ParquetFileFormat is requested to prepareWrite
• ParquetWrite is requested to prepareWrite

parquetOutputTimestampType¶

spark.sql.parquet.outputTimestampType

Used when:

• ParquetFileFormat is requested to prepareWrite
• SparkToParquetSchemaConverter is created
• ParquetWriteSupport is requested to init
• ParquetWrite is requested to prepareWrite

parquetRecordFilterEnabled¶

spark.sql.parquet.recordLevelFilter.enabled

Used when ParquetFileFormat is requested to build a data reader (with partition column values appended).

parquetVectorizedReaderBatchSize¶

spark.sql.parquet.columnarReaderBatchSize

parquetVectorizedReaderEnabled¶

spark.sql.parquet.enableVectorizedReader

Used when:

• FileSourceScanExec is requested for needsUnsafeRowConversion flag
• ParquetFileFormat is requested for supportBatch flag and build a data reader with partition column values appended

parquetVectorizedReaderNestedColumnEnabled¶

spark.sql.parquet.enableNestedColumnVectorizedReader

partitionOverwriteMode¶

The value of spark.sql.sources.partitionOverwriteMode configuration property

Used when InsertIntoHadoopFsRelationCommand logical command is executed

planChangeLogLevel¶

The value of spark.sql.planChangeLog.level configuration property

Used when:

• PlanChangeLogger is created

planChangeBatches¶

The value of spark.sql.planChangeLog.batches configuration property

Used when:

• PlanChangeLogger is requested to logBatch

planChangeRules¶

The value of spark.sql.planChangeLog.rules configuration property

Used when:

• PlanChangeLogger is requested to logRule

preferSortMergeJoin¶

spark.sql.join.preferSortMergeJoin

Used in JoinSelection execution planning strategy to prefer sort merge join over shuffle hash join.

LEAF_NODE_DEFAULT_PARALLELISM¶

spark.sql.leafNodeDefaultParallelism

Used when:

• SparkSession is requested for the leafNodeDefaultParallelism

LEGACY_CTE_PRECEDENCE_POLICY¶

spark.sql.legacy.ctePrecedencePolicy

PROPAGATE_DISTINCT_KEYS_ENABLED¶

spark.sql.optimizer.propagateDistinctKeys.enabled

replaceDatabricksSparkAvroEnabled¶

spark.sql.legacy.replaceDatabricksSparkAvro.enabled

replaceExceptWithFilter¶

spark.sql.optimizer.replaceExceptWithFilter

Used when ReplaceExceptWithFilter logical optimization is executed

runSQLonFile¶

spark.sql.runSQLOnFiles

Used when:

• ResolveSQLOnFile is requested to maybeSQLFile

RUNTIME_BLOOM_FILTER_EXPECTED_NUM_ITEMS¶

spark.sql.optimizer.runtime.bloomFilter.expectedNumItems

runtimeRowLevelOperationGroupFilterEnabled¶

spark.sql.optimizer.runtime.rowLevelOperationGroupFilter.enabled

sessionLocalTimeZone¶

spark.sql.session.timeZone

sessionWindowBufferInMemoryThreshold¶

spark.sql.sessionWindow.buffer.in.memory.threshold

Used when:

• UpdatingSessionsExec unary physical operator is executed

sessionWindowBufferSpillThreshold¶

spark.sql.sessionWindow.buffer.spill.threshold

Used when:

• UpdatingSessionsExec unary physical operator is executed

sortBeforeRepartition¶

The value of spark.sql.execution.sortBeforeRepartition configuration property

Used when ShuffleExchangeExec physical operator is executed

starSchemaDetection¶

spark.sql.cbo.starSchemaDetection

Used in ReorderJoin logical optimization (and indirectly in StarSchemaDetection)

stringRedactionPattern¶

spark.sql.redaction.string.regex

Used when:

• DataSourceScanExec is requested to redact sensitive information (in text representations)
• QueryExecution is requested to redact sensitive information (in text representations)

subexpressionEliminationEnabled¶

spark.sql.subexpressionElimination.enabled

Used when SparkPlan is requested for subexpressionEliminationEnabled flag.

subqueryReuseEnabled¶

spark.sql.execution.reuseSubquery

Used when:

• ReuseAdaptiveSubquery adaptive physical optimization is executed
• ReuseExchangeAndSubquery physical optimization is executed

supportQuotedRegexColumnName¶

spark.sql.parser.quotedRegexColumnNames

Used when:

• Dataset.col operator is used
• AstBuilder is requested to parse a dereference and column reference in a SQL statement

targetPostShuffleInputSize¶

spark.sql.adaptive.shuffle.targetPostShuffleInputSize

Used when EnsureRequirements physical optimization is executed (for Adaptive Query Execution)

THRIFTSERVER_FORCE_CANCEL¶

spark.sql.thriftServer.interruptOnCancel

Used when:

• SparkExecuteStatementOperation is created (forceCancel)

truncateTableIgnorePermissionAcl¶

spark.sql.truncateTable.ignorePermissionAcl.enabled

Used when TruncateTableCommand logical command is executed

useCompression¶

The value of spark.sql.inMemoryColumnarStorage.compressed configuration property

Used when CacheManager is requested to cache a structured query

useObjectHashAggregation¶

spark.sql.execution.useObjectHashAggregateExec

Used when Aggregation execution planning strategy is executed (and uses AggUtils to create an aggregation physical operator).

variableSubstituteEnabled¶

spark.sql.variable.substitute

Used when:

• VariableSubstitution is requested to substitute variables in a SQL command

wholeStageEnabled¶

spark.sql.codegen.wholeStage

Used in:

• CollapseCodegenStages to control codegen
• ParquetFileFormat to control row batch reading

wholeStageFallback¶

spark.sql.codegen.fallback

wholeStageMaxNumFields¶

spark.sql.codegen.maxFields

Used in:

• CollapseCodegenStages to control codegen
• ParquetFileFormat to control row batch reading

wholeStageSplitConsumeFuncByOperator¶

spark.sql.codegen.splitConsumeFuncByOperator

Used when CodegenSupport is requested to consume

wholeStageUseIdInClassName¶

spark.sql.codegen.useIdInClassName

Used when WholeStageCodegenExec is requested to generate the Java source code for the child physical plan subtree (when created)

windowExecBufferInMemoryThreshold¶

spark.sql.windowExec.buffer.in.memory.threshold

Used when:

• WindowExec unary physical operator is executed

windowExecBufferSpillThreshold¶

spark.sql.windowExec.buffer.spill.threshold

Used when:

• WindowExec unary physical operator is executed