[jira] [Assigned] (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 ] Hyukjin Kwon reassigned SPARK-23157: Assignee: Henry Robinson > 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 >Assignee: Henry Robinson >Priority: Minor > Fix For: 2.3.0 > > > 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$$withPlan(Dataset.scala:2884) > at org.apache.spark.sql.Dataset.select(Dataset.scala:1150) > at org.apache.spark.sql.Dataset.withColumn(Dataset.scala:1905) > ... 48 elided > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23157) withColumn fails for a column that is a result of mapped DataSet
[ https://issues.apache.org/jira/browse/SPARK-23157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23157: Assignee: Apache Spark > withColumn fails for a column that is a result of mapped DataSet > > > Key: SPARK-23157 > URL: https://issues.apache.org/jira/browse/SPARK-23157 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.2.1 >Reporter: Tomasz Bartczak >Assignee: Apache Spark >Priority: Minor > > Having > {code:java} > case class R(id: String) > val ds = spark.createDataset(Seq(R("1"))) > {code} > This works: > {code} > scala> ds.withColumn("n", ds.col("id")) > res16: org.apache.spark.sql.DataFrame = [id: string, n: string] > {code} > but when we map over ds it fails: > {code} > scala> ds.withColumn("n", ds.map(a => a).col("id")) > org.apache.spark.sql.AnalysisException: resolved attribute(s) id#55 missing > from id#4 in operator !Project [id#4, id#55 AS n#57];; > !Project [id#4, id#55 AS n#57] > +- LocalRelation [id#4] > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:39) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:91) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$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} -- 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] [Assigned] (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 ] Apache Spark reassigned SPARK-23157: Assignee: (was: Apache Spark) > 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} -- 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