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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/08/12 04:18:00 UTC
[jira] [Resolved] (SPARK-32586) Fix NumberFormatException error
message when ansi is enabled
[ https://issues.apache.org/jira/browse/SPARK-32586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-32586.
----------------------------------
Fix Version/s: 3.1.0
3.0.1
Resolution: Fixed
Issue resolved by pull request 29405
[https://github.com/apache/spark/pull/29405]
> Fix NumberFormatException error message when ansi is enabled
> ------------------------------------------------------------
>
> Key: SPARK-32586
> URL: https://issues.apache.org/jira/browse/SPARK-32586
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Yuming Wang
> Assignee: Yuming Wang
> Priority: Major
> Fix For: 3.0.1, 3.1.0
>
>
> How to reproduce:
> {noformat}
> spark-sql> set spark.sql.ansi.enabled=true;
> spark.sql.ansi.enabled true
> spark-sql> create table SPARK_32586 using parquet as select 's' s;
> spark-sql> select * from SPARK_32586 where s > 1.13D;
> 20/08/10 23:38:31 ERROR Executor: Exception in task 0.0 in stage 10.0 (TID 10)
> java.lang.NumberFormatException: invalid input syntax for type numeric: columnartorow_value_0
> 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$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
> at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:127)
> at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
> at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
> at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630)
> at java.base/java.lang.Thread.run(Thread.java:832)
> 20/08/10 23:38:31 WARN TaskSetManager: Lost task 0.0 in stage 10.0 (TID 10, spark-3267648.lvs02.dev.ebayc3.com, executor driver): java.lang.NumberFormatException: invalid input syntax for type numeric: columnartorow_value_0
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$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$3(Executor.scala:444)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
> at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
> at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630)
> at java.base/java.lang.Thread.run(Thread.java:832)
> {noformat}
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