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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/08/18 05:44:02 UTC
[jira] [Resolved] (SPARK-21739) timestamp partition would fail in
v2.2.0
[ https://issues.apache.org/jira/browse/SPARK-21739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li resolved SPARK-21739.
-----------------------------
Resolution: Fixed
Assignee: Feng Zhu
Fix Version/s: 2.3.0
2.2.1
> timestamp partition would fail in v2.2.0
> ----------------------------------------
>
> Key: SPARK-21739
> URL: https://issues.apache.org/jira/browse/SPARK-21739
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: wangzhihao
> Assignee: Feng Zhu
> Priority: Critical
> Fix For: 2.2.1, 2.3.0
>
>
> The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we select data from a table with timestamp partitions.
> The steps to reproduce it:
> {code:java}
> spark.sql("create table test (foo string) parititioned by (ts timestamp)")
> spark.sql("insert into table test partition(ts = 1) values('hi')")
> spark.table("test").show()
> {code}
> The root cause is that TableReader.scala#230 try to cast the string to timestamp regardless if the timeZone exists.
> Here is the error stack trace
> {code}
> java.util.NoSuchElementException: None.get
> at scala.None$.get(Option.scala:347)
> at scala.None$.get(Option.scala:345)
> at org.apache.spark.sql.catalyst.expressions.TimeZoneAwareExpression$class.timeZone(datetimeExpressions.scala:46)
> at org.apache.spark.sql.catalyst.expressions.Cast.timeZone$lzycompute(Cast.scala:172) at org.apache.spark.sql.catalyst.expressions.Cast.timeZone(Cast.scala:172)
> at org.apache.spark.sql.catalyst.expressions.Cast$$anonfun$castToTimestamp$1$$anonfun$apply$24.apply(Cast.scala:253)
> at org.apache.spark.sql.catalyst.expressions.Cast$$anonfun$castToTimestamp$1$$anonfun$apply$24.apply(Cast.scala:253)
> at org.apache.spark.sql.catalyst.expressions.Cast.org$apache$spark$sql$catalyst$expressions$Cast$$buildCast(Cast.scala:201)
> at org.apache.spark.sql.catalyst.expressions.Cast$$anonfun$castToTimestamp$1.apply(Cast.scala:253)
> at org.apache.spark.sql.catalyst.expressions.Cast.nullSafeEval(Cast.scala:533)
> at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:327)
> at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$5$$anonfun$fillPartitionKeys$1$1.apply(TableReader.scala:230)
> at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$5$$anonfun$fillPartitionKeys$1$1.apply(TableReader.scala:228)
> {code}
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