[
https://issues.apache.org/jira/browse/SPARK-38481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Max Gekk updated SPARK-38481:
-----------------------------
Description:
Currently, Spark SQL can throw Java exceptions from the
timestampadd()/date_add()/dateadd() functions, for instance:
{code:java}
{code}
That might confuse non-Scala/Java users. Need to wrap such kind of exception by
Spark's exception using an error class.
was:
Currently, Spark SQL can throw Java exceptions from the
aes_encrypt()/aes_decrypt() functions, for instance:
{code:java}
java.lang.RuntimeException: javax.crypto.AEADBadTagException: Tag mismatch!
at
org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils.aesInternal(ExpressionImplUtils.java:93)
at
org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils.aesDecrypt(ExpressionImplUtils.java:43)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.project_doConsume_0$(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$1.hasNext(WholeStageCodegenExec.scala:759)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:354)
at
org.apache.spark.rdd.RDD.$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$3(Executor.scala:507)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1468)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:510)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: javax.crypto.AEADBadTagException: Tag mismatch!
at
com.sun.crypto.provider.GaloisCounterMode.decryptFinal(GaloisCounterMode.java:620)
at
com.sun.crypto.provider.CipherCore.finalNoPadding(CipherCore.java:1116)
at
com.sun.crypto.provider.CipherCore.fillOutputBuffer(CipherCore.java:1053)
at com.sun.crypto.provider.CipherCore.doFinal(CipherCore.java:853)
at com.sun.crypto.provider.AESCipher.engineDoFinal(AESCipher.java:446)
at javax.crypto.Cipher.doFinal(Cipher.java:2226)
at
org.apache.spark.sql.catalyst.expressions.ExpressionImplUtils.aesInternal(ExpressionImplUtils.java:87)
... 19 more
{code}
That might confuse non-Scala/Java users. Need to wrap such kind of exception by
Spark's exception.
> Substitute Java overflow exception from TIMESTAMPADD by Spark exception
> -----------------------------------------------------------------------
>
> Key: SPARK-38481
> URL: https://issues.apache.org/jira/browse/SPARK-38481
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Max Gekk
> Assignee: Max Gekk
> Priority: Major
> Fix For: 3.3.0
>
>
> Currently, Spark SQL can throw Java exceptions from the
> timestampadd()/date_add()/dateadd() functions, for instance:
> {code:java}
> {code}
> That might confuse non-Scala/Java users. Need to wrap such kind of exception
> by Spark's exception using an error class.
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