layout: page title: Configuration nav_order: 15 ————-
Spark base configurations for Gluten plugin
Type: ⚓ Static - can only be set before the Spark application starts; 🔄 Dynamic - can be changed at runtime, e.g. with SET.
| Key | Type | Recommend Setting | Description |
|---|---|---|---|
| spark.plugins | ⚓ | org.apache.gluten.GlutenPlugin | To load Gluten’s components by Spark’s plug-in loader. |
| spark.memory.offHeap.enabled | ⚓ | true | Gluten use off-heap memory for certain operations. |
| spark.memory.offHeap.size | ⚓ | 30G | The absolute amount of memory which can be used for off-heap allocation, in bytes unless otherwise specified. Note: Gluten Plugin will leverage this setting to allocate memory space for native usage even offHeap is disabled. The value is based on your system and it is recommended to set it larger if you are facing Out of Memory issue in Gluten Plugin. |
| spark.shuffle.manager | ⚓ | org.apache.spark.shuffle.sort.ColumnarShuffleManager | To turn on Gluten Columnar Shuffle Plugin. |
| spark.driver.extraClassPath | ⚓ | /path/to/gluten_jar_file | Gluten Plugin jar file to prepend to the classpath of the driver. |
| spark.executor.extraClassPath | ⚓ | /path/to/gluten_jar_file | Gluten Plugin jar file to prepend to the classpath of executors. |
Gluten configurations
Type: ⚓ Static - can only be set before the Spark application starts; 🔄 Dynamic - can be changed at runtime, e.g. with SET.
| Key | Type | Default | Description |
|---|---|---|---|
| spark.gluten.costModel | 🔄 | legacy | The class name of user-defined cost model that will be used by Gluten’s transition planner. If not specified, a legacy built-in cost model will be used. The legacy cost model exhaustively offloads computations, and helps transition planner choose columnar-to-columnar transition over others. |
| spark.gluten.enabled | 🔄 | true | Whether to enable gluten. Default value is true. Just an experimental property. Recommend to enable/disable Gluten through the setting for spark.plugins. |
| spark.gluten.execution.resource.expired.time | 🔄 | 86400 | Expired time of execution with resource relation has cached. |
| spark.gluten.expression.blacklist | 🔄 | <undefined> | A black list of expression to skip transform, multiple values separated by commas. |
| spark.gluten.loadLibFromJar | 🔄 | false | Whether to load shared libraries from jars. |
| spark.gluten.loadLibOS | 🔄 | <undefined> | The shared library loader’s OS name. |
| spark.gluten.loadLibOSVersion | 🔄 | <undefined> | The shared library loader’s OS version. |
| spark.gluten.memory.isolation | 🔄 | false | Enable isolated memory mode. If true, Gluten controls the maximum off-heap memory can be used by each task to X, X = executor memory / max task slots. It’s recommended to set true if Gluten serves concurrent queries within a single session, since not all memory Gluten allocated is guaranteed to be spillable. In the case, the feature should be enabled to avoid OOM. |
| spark.gluten.memory.overAcquiredMemoryRatio | 🔄 | 0.3 | If larger than 0, Velox backend will try over-acquire this ratio of the total allocated memory as backup to avoid OOM. |
| spark.gluten.memory.reservationBlockSize | 🔄 | 8MB | Block size of native reservation listener reserve memory from Spark. |
| spark.gluten.numTaskSlotsPerExecutor | 🔄 | -1 | Must provide default value since non-execution operations (e.g. org.apache.spark.sql.Dataset#summary) doesn’t propagate configurations using org.apache.spark.sql.execution.SQLExecution#withSQLConfPropagated |
| spark.gluten.shuffleWriter.bufferSize | 🔄 | <undefined> | |
| spark.gluten.soft-affinity.duplicateReading.maxCacheItems | 🔄 | 10000 | Enable Soft Affinity duplicate reading detection |
| spark.gluten.soft-affinity.duplicateReadingDetect.enabled | 🔄 | false | If true, Enable Soft Affinity duplicate reading detection |
| spark.gluten.soft-affinity.enabled | 🔄 | false | Whether to enable Soft Affinity scheduling. |
| spark.gluten.soft-affinity.min.target-hosts | 🔄 | 1 | For on HDFS, if there are already target hosts, and then prefer to use the original target hosts to schedule |
| spark.gluten.soft-affinity.replications.num | 🔄 | 2 | Calculate the number of the replications for scheduling to the target executors per file |
| spark.gluten.sql.adaptive.costEvaluator.enabled | ⚓ | true | If true, use org.apache.spark.sql.execution.adaptive.GlutenCostEvaluator as custom cost evaluator class, else follow the configuration spark.sql.adaptive.customCostEvaluatorClass. |
| spark.gluten.sql.ansiFallback.enabled | 🔄 | true | When true (default), Gluten will fall back to Spark when ANSI mode is enabled. When false, Gluten will attempt to execute in ANSI mode. |
| spark.gluten.sql.cacheWholeStageTransformerContext | 🔄 | false | When true, WholeStageTransformer will cache the WholeStageTransformerContext when executing. It is used to get substrait plan node and native plan string. |
| spark.gluten.sql.collapseGetJsonObject.enabled | 🔄 | false | Collapse nested get_json_object functions as one for optimization. |
| spark.gluten.sql.columnar.appendData | 🔄 | true | Enable or disable columnar v2 command append data. |
| spark.gluten.sql.columnar.arrowUdf | 🔄 | true | Enable or disable columnar arrow udf. |
| spark.gluten.sql.columnar.batchscan | 🔄 | true | Enable or disable columnar batchscan. |
| spark.gluten.sql.columnar.batchscan.maxInputPartitions | 🔄 | 2147483647 | Maximum number of Spark task partitions for supported DataSource V2 batch scans. |
| spark.gluten.sql.columnar.broadcastExchange | 🔄 | true | Enable or disable columnar broadcastExchange. |
| spark.gluten.sql.columnar.broadcastJoin | 🔄 | true | Enable or disable columnar broadcastJoin. |
| spark.gluten.sql.columnar.broadcastNestedLoopJoin.enabled | 🔄 | true | Enable or disable columnar broadcastNestedLoopJoin. |
| spark.gluten.sql.columnar.cartesianProduct.enabled | 🔄 | true | Enable or disable columnar cartesianProduct. |
| spark.gluten.sql.columnar.cast.avg | 🔄 | true | |
| spark.gluten.sql.columnar.coalesce | 🔄 | true | Enable or disable columnar coalesce. |
| spark.gluten.sql.columnar.collectLimit | 🔄 | true | Enable or disable columnar collectLimit. |
| spark.gluten.sql.columnar.collectTail | 🔄 | true | Enable or disable columnar collectTail. |
| spark.gluten.sql.columnar.emptyRelation | 🔄 | true | Enable or disable columnar execution of EmptyRelationExec (Spark 4.0+). When true, Gluten replaces EmptyRelationExec (a leaf node AQE creates when it proves a subtree produces no output) with a columnar transformer, avoiding unnecessary ColumnarToRow / RowToColumnar transitions around the empty relation. |
| spark.gluten.sql.columnar.enableNestedColumnPruningInHiveTableScan | 🔄 | true | Enable or disable nested column pruning in hivetablescan. |
| spark.gluten.sql.columnar.enableVanillaVectorizedReaders | ⚓ | true | Enable or disable vanilla vectorized scan. |
| spark.gluten.sql.columnar.executor.libpath | 🔄 | The gluten executor library path. | |
| spark.gluten.sql.columnar.expand | 🔄 | true | Enable or disable columnar expand. |
| spark.gluten.sql.columnar.fallback.expressions.threshold | 🔄 | 50 | Fall back filter/project if number of nested expressions reaches this threshold, considering Spark codegen can bring better performance for such case. |
| spark.gluten.sql.columnar.fallback.ignoreRowToColumnar | 🔄 | true | When true, the fallback policy ignores the RowToColumnar when counting fallback number. |
| spark.gluten.sql.columnar.fallback.preferColumnar | 🔄 | true | When true, the fallback policy prefers to use Gluten plan rather than vanilla Spark plan if the both of them contains ColumnarToRow and the vanilla Spark plan ColumnarToRow number is not smaller than Gluten plan. |
| spark.gluten.sql.columnar.filescan | 🔄 | true | Enable or disable columnar filescan. |
| spark.gluten.sql.columnar.filter | 🔄 | true | Enable or disable columnar filter. |
| spark.gluten.sql.columnar.force.hashagg | 🔄 | true | Whether to force to use gluten’s hash agg for replacing vanilla spark’s sort agg. |
| spark.gluten.sql.columnar.forceShuffledHashJoin | 🔄 | true | |
| spark.gluten.sql.columnar.generate | 🔄 | true | |
| spark.gluten.sql.columnar.hashagg | 🔄 | true | Enable or disable columnar hashagg. |
| spark.gluten.sql.columnar.hivetablescan | 🔄 | true | Enable or disable columnar hivetablescan. |
| spark.gluten.sql.columnar.libname | 🔄 | gluten | The gluten library name. |
| spark.gluten.sql.columnar.libpath | 🔄 | The gluten library path. | |
| spark.gluten.sql.columnar.limit | 🔄 | true | |
| spark.gluten.sql.columnar.localTableScan | 🔄 | false | Enable or disable native columnar execution of LocalTableScanExec. When true, Gluten attempts to replace LocalTableScanExec (a driver-side local collection) with a backend transformer that converts the rows into columnar batches natively. |
| spark.gluten.sql.columnar.maxBatchSize | 🔄 | 4096 | |
| spark.gluten.sql.columnar.overwriteByExpression | 🔄 | true | Enable or disable columnar v2 command overwrite by expression. |
| spark.gluten.sql.columnar.overwritePartitionsDynamic | 🔄 | true | Enable or disable columnar v2 command overwrite partitions dynamic. |
| spark.gluten.sql.columnar.parquet.write.blockSize | 🔄 | 128MB | |
| spark.gluten.sql.columnar.partial.generate | 🔄 | true | Evaluates the non-offload-able HiveUDTF using vanilla Spark generator |
| spark.gluten.sql.columnar.partial.project | 🔄 | true | Break up one project node into 2 phases when some of the expressions are non offload-able. Phase one is a regular offloaded project transformer that evaluates the offload-able expressions in native, phase two preserves the output from phase one and evaluates the remaining non-offload-able expressions using vanilla Spark projections |
| spark.gluten.sql.columnar.physicalJoinOptimizationLevel | 🔄 | 12 | Fallback to row operators if there are several continuous joins. |
| spark.gluten.sql.columnar.physicalJoinOptimizationOutputSize | 🔄 | 52 | Fallback to row operators if there are several continuous joins and matched output size. |
| spark.gluten.sql.columnar.physicalJoinOptimizeEnable | 🔄 | false | Enable or disable columnar physicalJoinOptimize. |
| spark.gluten.sql.columnar.preferStreamingAggregate | 🔄 | true | Velox backend supports StreamingAggregate. StreamingAggregate uses the less memory as it does not need to hold all groups in memory, so it could avoid spill. When true and the child output ordering satisfies the grouping key then Gluten will choose StreamingAggregate as the native operator. |
| spark.gluten.sql.columnar.project | 🔄 | true | Enable or disable columnar project. |
| spark.gluten.sql.columnar.project.collapse | 🔄 | true | Combines two columnar project operators into one and perform alias substitution |
| spark.gluten.sql.columnar.query.fallback.threshold | 🔄 | -1 | The threshold for whether query will fall back by counting the number of ColumnarToRow & vanilla leaf node. |
| spark.gluten.sql.columnar.range | 🔄 | true | Enable or disable columnar range. |
| spark.gluten.sql.columnar.replaceData | 🔄 | true | Enable or disable columnar v2 command replace data. |
| spark.gluten.sql.columnar.scanOnly | 🔄 | false | When enabled, only scan and the filter after scan will be offloaded to native. |
| spark.gluten.sql.columnar.shuffle | 🔄 | true | Enable or disable columnar shuffle. |
| spark.gluten.sql.columnar.shuffle.celeborn.fallback.enabled | ⚓ | true | If enabled, fall back to ColumnarShuffleManager when celeborn service is unavailable.Otherwise, throw an exception. |
| spark.gluten.sql.columnar.shuffle.celeborn.useRssSort | 🔄 | true | If true, use RSS sort implementation for Celeborn sort-based shuffle.If false, use Gluten’s row-based sort implementation. Only valid when spark.celeborn.client.spark.shuffle.writer is set to sort. |
| spark.gluten.sql.columnar.shuffle.codec | 🔄 | <undefined> | By default, the supported codecs are lz4 and zstd. When spark.gluten.sql.columnar.shuffle.codecBackend=qat,the supported codecs are gzip and zstd. |
| spark.gluten.sql.columnar.shuffle.codecBackend | 🔄 | <undefined> | |
| spark.gluten.sql.columnar.shuffle.compression.threshold | 🔄 | 100 | If number of rows in a batch falls below this threshold, will copy all buffers into one buffer to compress. |
| spark.gluten.sql.columnar.shuffle.dictionary.enabled | 🔄 | false | Enable dictionary in hash-based shuffle. |
| spark.gluten.sql.columnar.shuffle.merge.threshold | 🔄 | 0.25 | |
| spark.gluten.sql.columnar.shuffle.partitionBufferEvictThreshold | 🔄 | -1 | For Velox hash shuffle writer, evict partition buffers larger than this threshold after splitting an input batch. Use non-positive value to disable this feature. |
| spark.gluten.sql.columnar.shuffle.readerBufferSize | 🔄 | 1MB | Buffer size in bytes for shuffle reader reading input stream from local or remote. |
| spark.gluten.sql.columnar.shuffle.realloc.threshold | 🔄 | 0.25 | |
| spark.gluten.sql.columnar.shuffle.sort.columns.threshold | 🔄 | 100000 | The threshold to determine whether to use sort-based columnar shuffle. Sort-based shuffle will be used if the number of columns is greater than this threshold. |
| spark.gluten.sql.columnar.shuffle.sort.deserializerBufferSize | 🔄 | 1MB | Buffer size in bytes for sort-based shuffle reader deserializing raw input to columnar batch. |
| spark.gluten.sql.columnar.shuffle.sort.partitions.threshold | 🔄 | 4000 | The threshold to determine whether to use sort-based columnar shuffle. Sort-based shuffle will be used if the number of partitions is greater than this threshold. |
| spark.gluten.sql.columnar.shuffle.typeAwareCompress.enabled | 🔄 | false | Enable type-aware compression (e.g. FFor for 64-bit integers) in shuffle. Not compatible with dictionary encoding; if both are enabled, type-aware compression is automatically disabled. |
| spark.gluten.sql.columnar.shuffledHashJoin | 🔄 | true | Enable or disable columnar shuffledHashJoin. |
| spark.gluten.sql.columnar.shuffledHashJoin.optimizeBuildSide | 🔄 | true | Whether to allow Gluten to choose an optimal build side for shuffled hash join. |
| spark.gluten.sql.columnar.smallFileThreshold | 🔄 | 0.5 | The total size threshold of small files in table scan.To avoid small files being placed into the same partition, Gluten will try to distribute small files into different partitions when the total size of small files is below this threshold. |
| spark.gluten.sql.columnar.sort | 🔄 | true | Enable or disable columnar sort. |
| spark.gluten.sql.columnar.sortMergeJoin | 🔄 | true | Enable or disable columnar sortMergeJoin. This should be set with preferSortMergeJoin=false. |
| spark.gluten.sql.columnar.tableCache | ⚓ | true | Enable or disable columnar table cache. |
| spark.gluten.sql.columnar.tableCache.partitionStats.enabled | 🔄 | false | When true, the Velox columnar cache serializer computes per-partition min/max/null/row-count stats and embeds them in the cached payload so that the Spark optimizer can prune whole partitions on equality / range predicates. When false (default), the serializer still writes the V3 per-column payload with empty stats so projected cache reads can lazily materialize only requested columns, while partition pruning is disabled. |
| spark.gluten.sql.columnar.takeOrderedAndProject | 🔄 | true | |
| spark.gluten.sql.columnar.union | 🔄 | true | Enable or disable columnar union. |
| spark.gluten.sql.columnar.wholeStage.fallback.threshold | 🔄 | -1 | The threshold for whether whole stage will fall back in AQE supported case by counting the number of ColumnarToRow & vanilla leaf node. |
| spark.gluten.sql.columnar.window | 🔄 | true | Enable or disable columnar window. |
| spark.gluten.sql.columnar.window.group.limit | 🔄 | true | Enable or disable columnar window group limit. |
| spark.gluten.sql.columnar.writeToDataSourceV2 | 🔄 | true | Enable or disable columnar v2 command write to data source v2. |
| spark.gluten.sql.columnarSampleEnabled | 🔄 | false | Disable or enable columnar sample. |
| spark.gluten.sql.columnarToRowMemoryThreshold | 🔄 | 64MB | |
| spark.gluten.sql.countDistinctWithoutExpand | 🔄 | false | Convert Count Distinct to a UDAF called count_distinct to prevent SparkPlanner converting it to Expand+Count. WARNING: When enabled, count distinct queries will fail to fallback!!! |
| spark.gluten.sql.extendedColumnPruning.enabled | 🔄 | true | Do extended nested column pruning for cases ignored by vanilla Spark. |
| spark.gluten.sql.fallbackRegexpExpressions | 🔄 | false | If true, fall back all regexp expressions. There are a few incompatible cases between RE2 (used by native engine) and java.util.regex (used by Spark). User should enable this property if their incompatibility is intolerable. |
| spark.gluten.sql.fallbackUnexpectedMetadataParquet | 🔄 | false | If enabled, Gluten will not offload scan when unexpected metadata is detected. |
| spark.gluten.sql.fallbackUnexpectedMetadataParquet.limit | 🔄 | 10 | If supplied, metadata of limit number of Parquet files will be checked to determine whether to fall back to java scan. |
| spark.gluten.sql.fallbackUnexpectedMetadataParquet.samplePercentage | 🔄 | 0.1 | The percentage of root paths to sample for metadata validation when the number of root paths is large. Value range is (0, 1.0]. 1.0 means check all paths (no sampling). A smaller value reduces validation cost for tables with many partitions. |
| spark.gluten.sql.injectNativePlanStringToExplain | 🔄 | false | When true, Gluten will inject native plan tree to Spark’s explain output. |
| spark.gluten.sql.mergeTwoPhasesAggregate.enabled | 🔄 | true | Whether to merge two phases aggregate if there are no other operators between them. |
| spark.gluten.sql.native.bloomFilter | 🔄 | true | |
| spark.gluten.sql.native.hive.writer.enabled | 🔄 | true | This is config to specify whether to enable the native columnar writer for HiveFileFormat. Currently only supports HiveFileFormat with Parquet as the output file type. |
| spark.gluten.sql.native.hyperLogLog.Aggregate | 🔄 | true | |
| spark.gluten.sql.native.parquet.write.blockRows | 🔄 | 100000000 | |
| spark.gluten.sql.native.union | 🔄 | false | Enable or disable native union where computation is completely offloaded to backend. |
| spark.gluten.sql.native.writeColumnMetadataExclusionList | 🔄 | comment | Native write files does not support column metadata. Metadata in list would be removed to support native write files. Multiple values separated by commas. |
| spark.gluten.sql.native.writer.enabled | 🔄 | <undefined> | This is config to specify whether to enable the native columnar parquet/orc writer |
| spark.gluten.sql.orc.charType.scan.fallback.enabled | 🔄 | true | Force fallback for orc char type scan. |
| spark.gluten.sql.pushAggregateThroughJoin.enabled | 🔄 | false | Enables the push-aggregate-through-join optimization in Gluten. When enabled, aggregate operators may be pushed below joins during logical optimization and corresponding physical plans may be rewritten to execute the aggregation earlier. |
| spark.gluten.sql.pushAggregateThroughJoin.maxDepth | 🔄 | 2147483647 | Maximum join traversal depth when applying the push-aggregate-through-join optimization. A value of 1 allows pushing an aggregate through a single join; larger values allow the rule to traverse and push through multiple consecutive joins. |
| spark.gluten.sql.pushAggregateThroughJoin.partialMerge.enabled | 🔄 | false | Retains local partial merges between joins crossed by aggregate pushdown. |
| spark.gluten.sql.pushAggregateThroughJoin.twoStage.mode | 🔄 | NONE | Controls physical staging of the final join aggregate: NONE uses a single final stage; FINAL adds a local partial merge before the final aggregation exchange. |
| spark.gluten.sql.removeNativeWriteFilesSortAndProject | 🔄 | true | When true, Gluten will remove the vanilla Spark V1Writes added sort and project for velox backend. |
| spark.gluten.sql.rewrite.dateTimestampComparison | 🔄 | true | Rewrite the comparision between date and timestamp to timestamp comparison.For example from_unixtime(ts) > date will be rewritten to ts > to_unixtime(date) |
| spark.gluten.sql.scan.detailedMetrics.enabled | 🔄 | true | When true (default), Velox backend scan operators register all detailed SQL metrics. When false, only essential scan metrics are registered to reduce driver memory usage. Also enabled automatically when spark.gluten.sql.debug is true. Does not affect the ClickHouse backend. |
| spark.gluten.sql.scan.fileSchemeValidation.enabled | 🔄 | true | When true, enable file path scheme validation for scan. Validation will fail if file scheme is not supported by registered file systems, which will cause scan operator fall back. |
| spark.gluten.sql.supported.flattenNestedFunctions | 🔄 | and,or | Flatten nested functions as one for optimization. |
| spark.gluten.sql.text.input.empty.as.default | 🔄 | false | treat empty fields in CSV input as default values. |
| spark.gluten.sql.text.input.max.block.size | 🔄 | 8KB | the max block size for text input rows |
| spark.gluten.sql.validation.printStackOnFailure | 🔄 | false | |
| spark.gluten.storage.hdfsViewfs.enabled | ⚓ | false | If enabled, gluten will convert the viewfs path to hdfs path in scala side |
| spark.gluten.supported.hive.udfs | 🔄 | Supported hive udf names. | |
| spark.gluten.supported.python.udfs | 🔄 | Supported python udf names. | |
| spark.gluten.supported.scala.udfs | 🔄 | Supported scala udf names. | |
| spark.gluten.ui.enabled | ⚓ | true | Whether to enable the gluten web UI, If true, attach the gluten UI page to the Spark web UI. |
Gluten experimental configurations
Type: ⚓ Static - can only be set before the Spark application starts; 🔄 Dynamic - can be changed at runtime, e.g. with SET.
| Key | Type | Default | Description |
|---|---|---|---|
| spark.gluten.auto.adjustStageResource.enabled | 🔄 | false | Experimental: If enabled, gluten will try to set the stage resource according to stage execution plan. Only worked when aqe is enabled at the same time!! |
| spark.gluten.auto.adjustStageResources.fallenNode.ratio.threshold | 🔄 | 0.5 | Experimental: Increase executor heap memory when stage contains fallen node count exceeds the total node count ratio. |
| spark.gluten.auto.adjustStageResources.heap.ratio | 🔄 | 2.0 | Experimental: Increase executor heap memory when match adjust stage resource rule. |
| spark.gluten.auto.adjustStageResources.offheap.ratio | 🔄 | 0.5 | Experimental: Decrease executor offheap memory when match adjust stage resource rule. |
| spark.gluten.memory.dynamic.offHeap.sizing.enabled | ⚓ | false | Experimental: When set to true, the offheap config (spark.memory.offHeap.size) will be ignored and instead we will consider onheap and offheap memory in combination, both counting towards the executor memory config (spark.executor.memory). We will make use of JVM APIs to determine how much onheap memory is use, alongside tracking offheap allocations made by Gluten. We will then proceed to enforcing a total memory quota, calculated by the sum of what memory is committed and in use in the Java heap. Since the calculation of the total quota happens as offheap allocation happens and not as JVM heap memory is allocated, it is possible that we can oversubscribe memory. Additionally, note that this change is experimental and may have performance implications. |
| spark.gluten.memory.dynamic.offHeap.sizing.memory.fraction | ⚓ | 0.6 | Experimental: Determines the memory fraction used to determine the total memory available for offheap and onheap allocations when the dynamic offheap sizing feature is enabled. The default is set to match spark.executor.memoryFraction. |
| spark.gluten.sql.columnar.cudf | 🔄 | false | Enable or disable cudf support. This is an experimental feature. |
| spark.gluten.sql.columnar.gpu.onlyOffloadJoinStage | 🔄 | false | If true, Gluten will only offload join stages to GPU. Other stages will be executed on CPU. |
| spark.gluten.sql.columnar.hybridExecution.cpuResource.name | ⚓ | cpu | The CPU resource name (Spark custom resource). This must match the resource name configured via spark. |
| spark.gluten.sql.columnar.hybridExecution.enabled | ⚓ | false | Enable CPU/GPU hybrid execution. At runtime, the execution will be scheduled to target nodes based on the selected execution mode. |
| spark.gluten.sql.columnar.hybridExecution.gpuResource.amountPerTask | ⚓ | 0.1 | The GPU resource amount per task. This is used to limit GPU tasks to target nodes. |
| spark.gluten.sql.columnar.hybridExecution.gpuResource.name | ⚓ | gpu | The GPU resource name (Spark custom resource). This must match the resource name configured via spark. |