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MIK commented on SPARK-25051: ----------------------------- df1 and df2, both are reading from S3 files df1 = spark.read.format("csv").option("header", "false"). option("codec", "org.apache.hadoop.io.compress.GzipCodec"). option("sep", "\t").schema(appUsageSchema).load(datafile) > where clause on dataset gives AnalysisException > ----------------------------------------------- > > Key: SPARK-25051 > URL: https://issues.apache.org/jira/browse/SPARK-25051 > Project: Spark > Issue Type: Bug > Components: Spark Core, SQL > Affects Versions: 2.3.0 > Reporter: MIK > Priority: Major > > *schemas :* > df1 > => id ts > df2 > => id name country > *code:* > val df = df1.join(df2, Seq("id"), "left_outer").where(df2("id").isNull) > *error*: > org.apache.spark.sql.AnalysisException:Resolved attribute(s) id#0 missing > from xx#15,xx#9L,id#5,xx#6,xx#11,xx#14,xx#13,xx#12,xx#7,xx#16,xx#10,xx#8L in > operator !Filter isnull(id#0). Attribute(s) with the same name appear in the > operation: id. Please check if the right attribute(s) are used.;; > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:41) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:91) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:289) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:80) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:80) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:91) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:104) > at > org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57) > at > org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47) > at org.apache.spark.sql.Dataset.<init>(Dataset.scala:172) > at org.apache.spark.sql.Dataset.<init>(Dataset.scala:178) > at org.apache.spark.sql.Dataset$.apply(Dataset.scala:65) > at org.apache.spark.sql.Dataset.withTypedPlan(Dataset.scala:3300) > at org.apache.spark.sql.Dataset.filter(Dataset.scala:1458) > at org.apache.spark.sql.Dataset.where(Dataset.scala:1486) > This works fine in spark 2.2.2 -- 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