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[BUG] test_from_json_map failed #6359

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jlowe opened this issue Aug 18, 2022 · 2 comments
Closed

[BUG] test_from_json_map failed #6359

jlowe opened this issue Aug 18, 2022 · 2 comments
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@jlowe
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bug Something isn't working cudf_dependency An issue or PR with this label depends on a new feature in cudf P0 Must have for release

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@jlowe
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jlowe commented Aug 18, 2022

test_from_json_map failed in a nightly test run:

def test_from_json_map():
        # The test here is working around some inconsistencies in how the keys are parsed for maps
        # on the GPU the keys are dense, but on the CPU they are sparse
        json_string_gen = StringGen("{\"a\": \"[0-9]{0,5}\"(, \"b\": \"[A-Z]{0,5}\")?}")
>       assert_gpu_and_cpu_are_equal_collect(
            lambda spark : unary_op_df(spark, json_string_gen)\
                    .selectExpr("from_json(a, \"MAP<STRING,STRING>\") as parsed")\
                    .selectExpr("parsed[\"a\"] as pa", "parsed[\"b\"] as pb"),
            conf={"spark.rapids.sql.expression.JsonToStructs": "true"})

../../src/main/python/json_test.py:367: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../src/main/python/asserts.py:508: in assert_gpu_and_cpu_are_equal_collect
    _assert_gpu_and_cpu_are_equal(func, 'COLLECT', conf=conf, is_cpu_first=is_cpu_first)
../../src/main/python/asserts.py:428: in _assert_gpu_and_cpu_are_equal
    run_on_gpu()
../../src/main/python/asserts.py:422: in run_on_gpu
    from_gpu = with_gpu_session(bring_back, conf=conf)
../../src/main/python/spark_session.py:132: in with_gpu_session
    return with_spark_session(func, conf=copy)
../../src/main/python/spark_session.py:99: in with_spark_session
    ret = func(_spark)
../../src/main/python/asserts.py:201: in <lambda>
    bring_back = lambda spark: limit_func(spark).collect()
/home/jenkins/agent/workspace/rapids_it-AQE-dev-github/jars/spark-3.1.2-bin-hadoop3.2/python/lib/pyspark.zip/pyspark/sql/dataframe.py:677: in collect
    sock_info = self._jdf.collectToPython()
/home/jenkins/agent/workspace/rapids_it-AQE-dev-github/jars/spark-3.1.2-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py:1304: in __call__
    return_value = get_return_value(
/home/jenkins/agent/workspace/rapids_it-AQE-dev-github/jars/spark-3.1.2-bin-hadoop3.2/python/lib/pyspark.zip/pyspark/sql/utils.py:111: in deco
    return f(*a, **kw)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

answer = 'xro328854'
gateway_client = <py4j.java_gateway.GatewayClient object at 0x7f913cf454f0>
target_id = 'o328853', name = 'collectToPython'

    def get_return_value(answer, gateway_client, target_id=None, name=None):
        """Converts an answer received from the Java gateway into a Python object.
    
        For example, string representation of integers are converted to Python
        integer, string representation of objects are converted to JavaObject
        instances, etc.
    
        :param answer: the string returned by the Java gateway
        :param gateway_client: the gateway client used to communicate with the Java
            Gateway. Only necessary if the answer is a reference (e.g., object,
            list, map)
        :param target_id: the name of the object from which the answer comes from
            (e.g., *object1* in `object1.hello()`). Optional.
        :param name: the name of the member from which the answer comes from
            (e.g., *hello* in `object1.hello()`). Optional.
        """
        if is_error(answer)[0]:
            if len(answer) > 1:
                type = answer[1]
                value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
                if answer[1] == REFERENCE_TYPE:
>                   raise Py4JJavaError(
                        "An error occurred while calling {0}{1}{2}.\n".
                        format(target_id, ".", name), value)
E                   py4j.protocol.Py4JJavaError: An error occurred while calling o328853.collectToPython.
E                   : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3933.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3933.0 (TID 4648) (10.233.89.240 executor 0): java.lang.IllegalArgumentException: Creating an empty list column of nested types is not currently supported
E                   	at ai.rapids.cudf.ColumnVector.makeList(ColumnVector.java:455)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$makeMap$5(GpuJsonToStructs.scala:92)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:46)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:44)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$makeMap$3(GpuJsonToStructs.scala:91)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:46)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:44)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.makeMap(GpuJsonToStructs.scala:87)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$doColumnar$6(GpuJsonToStructs.scala:141)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:46)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:44)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$doColumnar$1(GpuJsonToStructs.scala:140)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.doColumnar(GpuJsonToStructs.scala:105)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.doItColumnar(GpuExpressions.scala:192)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.$anonfun$columnarEval$1(GpuExpressions.scala:203)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.columnarEval(GpuExpressions.scala:202)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)
E                   	at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval(GpuExpressions.scala:252)
E                   	at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval$(GpuExpressions.scala:251)
E                   	at org.apache.spark.sql.rapids.GpuGetMapValue.columnarEval(complexTypeExtractors.scala:190)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)
E                   	at com.nvidia.spark.rapids.GpuAlias.columnarEval(namedExpressions.scala:109)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)
E                   	at com.nvidia.spark.rapids.GpuExpressionsUtils$.columnarEvalToColumn(GpuExpressions.scala:93)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.projectSingle(basicPhysicalOperators.scala:102)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.$anonfun$project$1(basicPhysicalOperators.scala:109)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1(implicits.scala:216)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1$adapted(implicits.scala:213)
E                   	at scala.collection.immutable.List.foreach(List.scala:392)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.safeMap(implicits.scala:213)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$AutoCloseableProducingSeq.safeMap(implicits.scala:248)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.project(basicPhysicalOperators.scala:109)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.projectAndClose(basicPhysicalOperators.scala:73)
E                   	at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$doExecuteColumnar$1(basicPhysicalOperators.scala:149)
E                   	at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$fetchNextBatch$2(GpuColumnarToRowExec.scala:228)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.withResource(GpuColumnarToRowExec.scala:174)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.fetchNextBatch(GpuColumnarToRowExec.scala:225)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:202)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.hasNext(GpuColumnarToRowExec.scala:242)
E                   	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
E                   	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
E                   	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
E                   	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
E                   	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
E                   	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
E                   	at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
E                   	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
E                   	at org.apache.spark.scheduler.Task.run(Task.scala:131)
E                   	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
E                   	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
E                   	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
E                   	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
E                   	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
E                   	at java.lang.Thread.run(Thread.java:750)
E                   
E                   Driver stacktrace:
E                   	at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2258)
E                   	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2207)
E                   	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2206)
E                   	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
E                   	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
E                   	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
E                   	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2206)
E                   	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1079)
E                   	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1079)
E                   	at scala.Option.foreach(Option.scala:407)
E                   	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1079)
E                   	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2445)
E                   	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2387)
E                   	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2376)
E                   	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
E                   	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868)
E                   	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2196)
E                   	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2217)
E                   	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236)
E                   	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
E                   	at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
E                   	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
E                   	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
E                   	at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
E                   	at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
E                   	at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:390)
E                   	at org.apache.spark.sql.Dataset.$anonfun$collectToPython$1(Dataset.scala:3519)
E                   	at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
E                   	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
E                   	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
E                   	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
E                   	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
E                   	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
E                   	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
E                   	at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3516)
E                   	at sun.reflect.GeneratedMethodAccessor79.invoke(Unknown Source)
E                   	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
E                   	at java.lang.reflect.Method.invoke(Method.java:498)
E                   	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
E                   	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
E                   	at py4j.Gateway.invoke(Gateway.java:282)
E                   	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
E                   	at py4j.commands.CallCommand.execute(CallCommand.java:79)
E                   	at py4j.GatewayConnection.run(GatewayConnection.java:238)
E                   	at java.lang.Thread.run(Thread.java:750)
E                   Caused by: java.lang.IllegalArgumentException: Creating an empty list column of nested types is not currently supported
E                   	at ai.rapids.cudf.ColumnVector.makeList(ColumnVector.java:455)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$makeMap$5(GpuJsonToStructs.scala:92)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:46)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:44)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$makeMap$3(GpuJsonToStructs.scala:91)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:46)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:44)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.makeMap(GpuJsonToStructs.scala:87)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$doColumnar$6(GpuJsonToStructs.scala:141)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:46)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:44)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.$anonfun$doColumnar$1(GpuJsonToStructs.scala:140)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at org.apache.spark.sql.rapids.GpuJsonToStructs.doColumnar(GpuJsonToStructs.scala:105)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.doItColumnar(GpuExpressions.scala:192)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.$anonfun$columnarEval$1(GpuExpressions.scala:203)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.withResource(GpuExpressions.scala:186)
E                   	at com.nvidia.spark.rapids.GpuUnaryExpression.columnarEval(GpuExpressions.scala:202)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)
E                   	at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval(GpuExpressions.scala:252)
E                   	at com.nvidia.spark.rapids.GpuBinaryExpression.columnarEval$(GpuExpressions.scala:251)
E                   	at org.apache.spark.sql.rapids.GpuGetMapValue.columnarEval(complexTypeExtractors.scala:190)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)
E                   	at com.nvidia.spark.rapids.GpuAlias.columnarEval(namedExpressions.scala:109)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$ReallyAGpuExpression.columnarEval(implicits.scala:34)
E                   	at com.nvidia.spark.rapids.GpuExpressionsUtils$.columnarEvalToColumn(GpuExpressions.scala:93)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.projectSingle(basicPhysicalOperators.scala:102)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.$anonfun$project$1(basicPhysicalOperators.scala:109)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1(implicits.scala:216)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1$adapted(implicits.scala:213)
E                   	at scala.collection.immutable.List.foreach(List.scala:392)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.safeMap(implicits.scala:213)
E                   	at com.nvidia.spark.rapids.RapidsPluginImplicits$AutoCloseableProducingSeq.safeMap(implicits.scala:248)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.project(basicPhysicalOperators.scala:109)
E                   	at com.nvidia.spark.rapids.GpuProjectExec$.projectAndClose(basicPhysicalOperators.scala:73)
E                   	at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$doExecuteColumnar$1(basicPhysicalOperators.scala:149)
E                   	at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$fetchNextBatch$2(GpuColumnarToRowExec.scala:228)
E                   	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
E                   	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.withResource(GpuColumnarToRowExec.scala:174)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.fetchNextBatch(GpuColumnarToRowExec.scala:225)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:202)
E                   	at com.nvidia.spark.rapids.ColumnarToRowIterator.hasNext(GpuColumnarToRowExec.scala:242)
E                   	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
E                   	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
E                   	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
E                   	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
E                   	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
E                   	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
E                   	at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
E                   	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
E                   	at org.apache.spark.scheduler.Task.run(Task.scala:131)
E                   	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
E                   	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
E                   	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
E                   	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
E                   	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
E                   	... 1 more
@jlowe jlowe added bug Something isn't working ? - Needs Triage Need team to review and classify P0 Must have for release labels Aug 18, 2022
@jlowe jlowe self-assigned this Aug 18, 2022
@jlowe
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jlowe commented Aug 18, 2022

This was caused by rapidsai/cudf#11364 and will be fixed by rapidsai/cudf#11566.

@sameerz sameerz removed the ? - Needs Triage Need team to review and classify label Aug 18, 2022
@jlowe
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jlowe commented Aug 19, 2022

cudf fix has been merged and integrated into the published spark-rapids-jni snapshot. Test is now passing.

@jlowe jlowe closed this as completed Aug 19, 2022
@jlowe jlowe added the cudf_dependency An issue or PR with this label depends on a new feature in cudf label Aug 19, 2022
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