[jira] [Commented] (SPARK-23459) Improve the error message when unknown column is specified in partition columns
[ https://issues.apache.org/jira/browse/SPARK-23459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16371891#comment-16371891 ] Apache Spark commented on SPARK-23459: -- User 'kiszk' has created a pull request for this issue: https://github.com/apache/spark/pull/20653 > Improve the error message when unknown column is specified in partition > columns > --- > > Key: SPARK-23459 > URL: https://issues.apache.org/jira/browse/SPARK-23459 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.3.0 >Reporter: Xiao Li >Priority: Major > Labels: starter > > {noformat} > test("save with an unknown partition column") { > withTempDir { dir => > val path = dir.getCanonicalPath > Seq(1L -> "a").toDF("i", "j").write > .format("parquet") > .partitionBy("unknownColumn") > .save(path) > } > } > {noformat} > We got the following error message: > {noformat} > Partition column unknownColumn not found in schema > StructType(StructField(i,LongType,false), StructField(j,StringType,true)); > {noformat} > We should not call toString, but catalogString in the function > `partitionColumnsSchema` of `PartitioningUtils.scala` -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23459) Improve the error message when unknown column is specified in partition columns
[ https://issues.apache.org/jira/browse/SPARK-23459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16371474#comment-16371474 ] Kazuaki Ishizaki commented on SPARK-23459: -- I am working for this. > Improve the error message when unknown column is specified in partition > columns > --- > > Key: SPARK-23459 > URL: https://issues.apache.org/jira/browse/SPARK-23459 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.3.0 >Reporter: Xiao Li >Priority: Major > Labels: starter > > {noformat} > test("save with an unknown partition column") { > withTempDir { dir => > val path = dir.getCanonicalPath > Seq(1L -> "a").toDF("i", "j").write > .format("parquet") > .partitionBy("unknownColumn") > .save(path) > } > } > {noformat} > We got the following error message: > {noformat} > Partition column unknownColumn not found in schema > StructType(StructField(i,LongType,false), StructField(j,StringType,true)); > {noformat} > We should not call toString, but catalogString in the function > `partitionColumnsSchema` of `PartitioningUtils.scala` -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23459) Improve the error message when unknown column is specified in partition columns
[ https://issues.apache.org/jira/browse/SPARK-23459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16369346#comment-16369346 ] Kazuaki Ishizaki commented on SPARK-23459: -- Have you started working for this? If not, I can take it. > Improve the error message when unknown column is specified in partition > columns > --- > > Key: SPARK-23459 > URL: https://issues.apache.org/jira/browse/SPARK-23459 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.3.0 >Reporter: Xiao Li >Priority: Major > Labels: starter > > {noformat} > test("save with an unknown partition column") { > withTempDir { dir => > val path = dir.getCanonicalPath > Seq(1L -> "a").toDF("i", "j").write > .format("parquet") > .partitionBy("unknownColumn") > .save(path) > } > } > {noformat} > We got the following error message: > {noformat} > Partition column unknownColumn not found in schema > StructType(StructField(i,LongType,false), StructField(j,StringType,true)); > {noformat} > We should not call toString, but catalogString in the function > `partitionColumnsSchema` of `PartitioningUtils.scala` -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org