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Posted to issues@spark.apache.org by "Don Drake (JIRA)" <ji...@apache.org> on 2016/09/02 20:22:20 UTC
[jira] [Created] (SPARK-17384) SQL - Running query with outer join
from 1.6 fails
Don Drake created SPARK-17384:
---------------------------------
Summary: SQL - Running query with outer join from 1.6 fails
Key: SPARK-17384
URL: https://issues.apache.org/jira/browse/SPARK-17384
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.0
Reporter: Don Drake
I have some complex (10-table joins) SQL queries that utilize outer joins that work fine in Spark 1.6.2, but fail under Spark 2.0. I was able to duplicate the problem using a simple test case.
Here's the code for Spark 2.0 that doesn't run (this runs fine in Spark 1.6.2):
{code}
case class C1(f1: String, f2: String, f3: String, f4: String)
case class C2(g1: String, g2: String, g3: String, g4: String)
case class C3(h1: String, h2: String, h3: String, h4: String)
val sqlContext = spark.sqlContext
val c1 = sc.parallelize(Seq(
C1("h1", "c1a1", "c1b1", "c1c1"),
C1("h2", "c1a2", "c1b2", "c1c2"),
C1(null, "c1a3", "c1b3", "c1c3")
)).toDF
c1.createOrReplaceTempView("c1")
val c2 = sc.parallelize(Seq(
C2("h1", "c2a1", "c2b1", "c2c1"),
C2("h2", "c2a2", "c2b2", "c2c2"),
C2(null, "c2a3", "c2b3", "c2c3"),
C2(null, "c2a4", "c2b4", "c2c4"),
C2("h333", "c2a333", "c2b333", "c2c333")
)).toDF
c2.createOrReplaceTempView("c2")
val c3 = sc.parallelize(Seq(
C3("h1", "c3a1", "c3b1", "c3c1"),
C3("h2", "c3a2", "c3b2", "c3c2"),
C3(null, "c3a3", "c3b3", "c3c3")
)).toDF
c3.createOrReplaceTempView("c3")
// doesn't work in Spark 2.0, works in Spark 1.6
val bad_df = sqlContext.sql("""
select *
from c1, c3
left outer join c2 on (c1.f1 = c2.g1)
where c1.f1 = c3.h1
""").show()
// works in both
val works_df = sqlContext.sql("""
select *
from c1
left outer join c2 on (c1.f1 = c2.g1),
c3
where c1.f1 = c3.h1
""").show()
{code}
Here's the output after running bad_df in Spark 2.0:
{code}
scala> val bad_df = sqlContext.sql("""
| select *
| from c1, c3
| left outer join c2 on (c1.f1 = c2.g1)
| where c1.f1 = c3.h1
| """).show()
org.apache.spark.sql.AnalysisException: cannot resolve '`c1.f1`' given input columns: [h3, g3, h4, g2, g4, h2, h1, g1]; line 4 pos 25
at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:77)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:74)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:301)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:301)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:300)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:298)
at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:190)
at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:201)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$5.apply(QueryPlan.scala:209)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:209)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:74)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:67)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:126)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:125)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:125)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:125)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:67)
at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:58)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:682)
... 53 elided
scala>
{code}
I confirmed this fails on the Spark 2.0 nightly build as well. This runs just fine in Spark 1.6.2.
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