I have this table on Hive:
CREATE TABLE `mydb`.`raw_sales` (`combustivel` STRING,`regiao` STRING,`estado` STRING,`jan` STRING,`fev` STRING,`mar` STRING,`abr` STRING,`mai` STRING,`jun` STRING,`jul` STRING,`ago` STRING,`set` STRING,`out` STRING,`nov` STRING,`dez` STRING,`total` STRING,`created_at` TIMESTAMP,`ano` STRING)USING orcLOCATION 'hdfs://localhost:9000/jobs/etl/tables/raw_sales.orc'TBLPROPERTIES ('transient_lastDdlTime' = '1601322056','ORC.COMPRESS' = 'SNAPPY')There is data on table, but when I try this query at bellow:
spark.sql("SELECT * FROM mydb.raw_sales WHERE ano = '2000' AND combustivel like '%GASOLINA%'").show()It's crashing!
>>> spark.sql("SELECT * FROM mydb.raw_sales WHERE ano = 2000 AND combustivel like '%GASOLINA%'").show() [164/3679]20/09/28 19:25:30 ERROR executor.Executor: Exception in task 0.0 in stage 61.0 (TID 133) java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137) at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245) at scala.collection.immutable.List.foreach(List.scala:392) at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245) at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242) at scala.collection.immutable.List.flatMap(List.scala:355) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4$adapted(OrcFileFormat.scala:188) at scala.Option.map(Option.scala:230) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) 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:748)20/09/28 19:25:30 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 61.0 (TID 133, 639773a482b8, executor driver): java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137) at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245) at scala.collection.immutable.List.foreach(List.scala:392) at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245) at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242) at scala.collection.immutable.List.flatMap(List.scala:355) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75) [112/3679] at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4$adapted(OrcFileFormat.scala:188) at scala.Option.map(Option.scala:230) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)20/09/28 19:25:30 ERROR scheduler.TaskSetManager: Task 0 in stage 61.0 failed 1 times; aborting jobTraceback (most recent call last): File "<stdin>", line 1, in <module> File "/opt/spark/current/python/pyspark/sql/dataframe.py", line 440, in show print(self._jdf.showString(n, 20, vertical)) File "/opt/spark/current/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1304, in __call__ File "/opt/spark/current/python/pyspark/sql/utils.py", line 128, in deco return f(*a, **kw) File "/opt/spark/current/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 326, in get_return_valuepy4j.protocol.Py4JJavaError: An error occurred while calling o122.showString.: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 61.0 failed 1 times, most recent failure: Lost task 0.0 in stage 61.0 (TID 133, 639773a482b8, executor driver): java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137) at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245) at scala.collection.immutable.List.foreach(List.scala:392) at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245) at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242) at scala.collection.immutable.List.flatMap(List.scala:355) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189) at scala.Option.map(Option.scala:230) [59/3679] at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) 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:748)Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007) 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:2007) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:467) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47) at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3627) at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2697) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) [7/3679] at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616) at org.apache.spark.sql.Dataset.head(Dataset.scala:2697) at org.apache.spark.sql.Dataset.take(Dataset.scala:2904) at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300) at org.apache.spark.sql.Dataset.showString(Dataset.scala:337) at sun.reflect.GeneratedMethodAccessor64.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748)Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137) at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245) at scala.collection.immutable.List.foreach(List.scala:392) at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245) at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242) at scala.collection.immutable.List.flatMap(List.scala:355) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136) at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4$adapted(OrcFileFormat.scala:188) at scala.Option.map(Option.scala:230) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ... 1 moreHowever, this query at bellow works!
spark.sql("SELECT * FROM mydb.raw_sales WHERE ano = 2000").show()And this works too!
spark.sql("SELECT combustivel FROM mydb.raw_sales WHERE combustivel like '%GASOLINA C%'").show()My environment
- Hadoop 2.10.0
- Hive 2.3.7
- Tez 0.9.2
- Spark 3.0.1
The results is the same for pyspark and Scala.
I'm completely lost here! Maybe you can help me!
Thanks!