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Describe the bug format_number / FormatNumber Spark UT failed because Type conversion is not allowed error.
Steps/Code to reproduce bug
run:
mvn test -Dbuildver=330 -DwildcardSuites=org.apache.spark.sql.rapids.suites.RapidsStringExpressionsSuite
- format_number / FormatNumber *** FAILED ***
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 334.0 failed 1 times, most recent failure: Lost task 1.0 in stage 334.0 (TID 669) (spark-haoyang executor driver): java.lang.AssertionError: Type conversion is not allowed from INT8 to StringType expected STRING
at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:711)
at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:791)
at org.apache.spark.sql.rapids.GpuFormatNumber.doColumnar(stringFunctions.scala:2387)
at com.nvidia.spark.rapids.GpuBinaryExpression.$anonfun$columnarEval$3(GpuExpressions.scala:320)
at com.nvidia.spark.rapids.Arm$.withResourceIfAllowed(Arm.scala:84)
at com.nvidia.spark.rapids.GpuBinaryExpression.$anonfun$columnarEval$2(GpuExpressions.scala:311)
at com.nvidia.spark.rapids.Arm$.withResourceIfAllowed(Arm.scala:84)
at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval(GpuExpressions.scala:310)
at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval$(GpuExpressions.scala:309)
at org.apache.spark.sql.rapids.GpuFormatNumber.columnarEval(stringFunctions.scala:2140)
at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:35)
at com.nvidia.spark.rapids.GpuAlias.columnarEval(namedExpressions.scala:110)
at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:35)
at com.nvidia.spark.rapids.GpuProjectExec$.$anonfun$project$1(basicPhysicalOperators.scala:110)
at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1(implicits.scala:221)
at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1$adapted(implicits.scala:218)
at scala.collection.immutable.List.foreach(List.scala:431)
at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.safeMap(implicits.scala:218)
at com.nvidia.spark.rapids.RapidsPluginImplicits$AutoCloseableProducingSeq.safeMap(implicits.scala:253)
at com.nvidia.spark.rapids.GpuProjectExec$.project(basicPhysicalOperators.scala:110)
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$project$2(basicPhysicalOperators.scala:619)
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
at com.nvidia.spark.rapids.GpuTieredProject.recurse$2(basicPhysicalOperators.scala:618)
at com.nvidia.spark.rapids.GpuTieredProject.project(basicPhysicalOperators.scala:631)
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$5(basicPhysicalOperators.scala:567)
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$.withRestoreOnRetry(RmmRapidsRetryIterator.scala:272)
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$4(basicPhysicalOperators.scala:567)
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$3(basicPhysicalOperators.scala:565)
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$NoInputSpliterator.next(RmmRapidsRetryIterator.scala:395)
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryIterator.next(RmmRapidsRetryIterator.scala:613)
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryAutoCloseableIterator.next(RmmRapidsRetryIterator.scala:517)
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$.drainSingleWithVerification(RmmRapidsRetryIterator.scala:291)
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$.withRetryNoSplit(RmmRapidsRetryIterator.scala:185)
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$1(basicPhysicalOperators.scala:565)
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:39)
at com.nvidia.spark.rapids.GpuTieredProject.projectWithRetrySingleBatchInternal(basicPhysicalOperators.scala:562)
at com.nvidia.spark.rapids.GpuTieredProject.projectAndCloseWithRetrySingleBatch(basicPhysicalOperators.scala:601)
at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$internalDoExecuteColumnar$2(basicPhysicalOperators.scala:384)
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$internalDoExecuteColumnar$1(basicPhysicalOperators.scala:380)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$fetchNextBatch$3(GpuColumnarToRowExec.scala:290)
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
at com.nvidia.spark.rapids.ColumnarToRowIterator.fetchNextBatch(GpuColumnarToRowExec.scala:287)
at com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:257)
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$5(basicPhysicalOperators.scala:567) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$.withRestoreOnRetry(RmmRapidsRetryIterator.scala:272) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$4(basicPhysicalOperators.scala:567) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$3(basicPhysicalOperators.scala:565) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$NoInputSpliterator.next(RmmRapidsRetryIterator.scala:395) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryIterator.next(RmmRapidsRetryIterator.scala:613) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryAutoCloseableIterator.next(RmmRapidsRetryIterator.scala:517) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$.drainSingleWithVerification(RmmRapidsRetryIterator.scala:291) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.RmmRapidsRetryIterator$.withRetryNoSplit(RmmRapidsRetryIterator.scala:185) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuTieredProject.$anonfun$projectWithRetrySingleBatchInternal$1(basicPhysicalOperators.scala:565) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:39) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuTieredProject.projectWithRetrySingleBatchInternal(basicPhysicalOperators.scala:562) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuTieredProject.projectAndCloseWithRetrySingleBatch(basicPhysicalOperators.scala:601) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$internalDoExecuteColumnar$2(basicPhysicalOperators.scala:384) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$internalDoExecuteColumnar$1(basicPhysicalOperators.scala:380) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) ~[scala-library-2.12.15.jar:?]
at com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$fetchNextBatch$3(GpuColumnarToRowExec.scala:290) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.ColumnarToRowIterator.fetchNextBatch(GpuColumnarToRowExec.scala:287) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:257) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at com.nvidia.spark.rapids.ColumnarToRowIterator.hasNext(GpuColumnarToRowExec.scala:304) ~[rapids-4-spark-aggregator_2.12-24.06.0-SNAPSHOT-spark330.jar:?]
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) ~[scala-library-2.12.15.jar:?]
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364) ~[spark-sql_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at com.nvidia.spark.rapids.ColumnarToRowIterator.hasNext(GpuColumnarToRowExec.scala:304)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
at scala.Option.foreach(Option.scala:407)
...
Cause: java.lang.AssertionError: Type conversion is not allowed from INT8 to StringType expected STRING
at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:711)
at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:791)
at org.apache.spark.sql.rapids.GpuFormatNumber.doColumnar(stringFunctions.scala:2387)
at com.nvidia.spark.rapids.GpuBinaryExpression.$anonfun$columnarEval$3(GpuExpressions.scala:320)
at com.nvidia.spark.rapids.Arm$.withResourceIfAllowed(Arm.scala:84)
at com.nvidia.spark.rapids.GpuBinaryExpression.$anonfun$columnarEval$2(GpuExpressions.scala:311)
at com.nvidia.spark.rapids.Arm$.withResourceIfAllowed(Arm.scala:84)
at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval(GpuExpressions.scala:310)
at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval$(GpuExpressions.scala:309)
at org.apache.spark.sql.rapids.GpuFormatNumber.columnarEval(stringFunctions.scala:2140)
...
to_number($345, S$999,099.99) is being evaluated with Scalar Parameter
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.scheduler.Task.run(Task.scala:136) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) ~[spark-core_2.12-3.3.0.jar:3.3.0]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) ~[?:1.8.0_402]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ~[?:1.8.0_402]
at java.lang.Thread.run(Thread.java:750) ~[?:1.8.0_402]
24/05/27 10:15:27.928 task-result-getter-1 ERROR TaskSetManager: Task 1 in stage 334.0 failed 1 times; aborting job
Expected behavior
It should pass
Environment details (please complete the following information)
local spark 330
The text was updated successfully, but these errors were encountered:
Describe the bug
format_number / FormatNumber
Spark UT failed becauseType conversion is not allowed
error.Steps/Code to reproduce bug
run:
Expected behavior
It should pass
Environment details (please complete the following information)
local spark 330
The text was updated successfully, but these errors were encountered: