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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/01/30 06:22:00 UTC
[jira] [Resolved] (SPARK-23157) withColumn fails for a column that
is a result of mapped DataSet
[ https://issues.apache.org/jira/browse/SPARK-23157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li resolved SPARK-23157.
-----------------------------
Resolution: Invalid
> withColumn fails for a column that is a result of mapped DataSet
> ----------------------------------------------------------------
>
> Key: SPARK-23157
> URL: https://issues.apache.org/jira/browse/SPARK-23157
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.1
> Reporter: Tomasz Bartczak
> Priority: Minor
>
> Having
> {code:java}
> case class R(id: String)
> val ds = spark.createDataset(Seq(R("1")))
> {code}
> This works:
> {code}
> scala> ds.withColumn("n", ds.col("id"))
> res16: org.apache.spark.sql.DataFrame = [id: string, n: string]
> {code}
> but when we map over ds it fails:
> {code}
> scala> ds.withColumn("n", ds.map(a => a).col("id"))
> org.apache.spark.sql.AnalysisException: resolved attribute(s) id#55 missing from id#4 in operator !Project [id#4, id#55 AS n#57];;
> !Project [id#4, id#55 AS n#57]
> +- LocalRelation [id#4]
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:39)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:91)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:347)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:78)
> at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:78)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:91)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:52)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:67)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withPlan(Dataset.scala:2884)
> at org.apache.spark.sql.Dataset.select(Dataset.scala:1150)
> at org.apache.spark.sql.Dataset.withColumn(Dataset.scala:1905)
> ... 48 elided
> {code}
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