[jira] [Resolved] (SPARK-12477) [SQL] Tungsten projection fails for null values in array fields

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-12477.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0
                   1.6.1
                   1.5.3

> [SQL] Tungsten projection fails for null values in array fields
> ---------------------------------------------------------------
>
>                 Key: SPARK-12477
>                 URL: https://issues.apache.org/jira/browse/SPARK-12477
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.2, 1.6.0
>            Reporter: Pierre Borckmans
>            Assignee: Apache Spark
>             Fix For: 1.5.3, 1.6.1, 2.0.0
>
>
> Accessing null elements in an array field fails when tungsten is enabled.
> It works in Spark 1.3.1, and in Spark > 1.5 with Tungsten disabled.
> Example:
> {code}
> // Array of String
> case class AS( as: Seq[String] )
> val dfAS = sc.parallelize( Seq( AS ( Seq("a",null,"b") ) ) ).toDF
> dfAS.registerTempTable("T_AS")
> for (i <- 0 to 2) { println(i + " = " + sqlContext.sql(s"select as[$i] from T_AS").collect.mkString(","))}
> {code}
> With Tungsten disabled:
> {code}
> 0 = [a]
> 1 = [null]
> 2 = [b]
> {code}
> With Tungsten enabled:
> {code}
> 0 = [a]
> 15/12/22 09:32:50 ERROR Executor: Exception in task 7.0 in stage 1.0 (TID 15)
> java.lang.NullPointerException
>     at org.apache.spark.sql.catalyst.expressions.UnsafeRowWriters$UTF8StringWriter.getSize(UnsafeRowWriters.java:90)
>     at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
>     at org.apache.spark.sql.execution.TungstenProject$$anonfun$3$$anonfun$apply$3.apply(basicOperators.scala:90)
>     at org.apache.spark.sql.execution.TungstenProject$$anonfun$3$$anonfun$apply$3.apply(basicOperators.scala:88)
>     at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>     at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>     at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>     at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> {code}
> ------------------------------
> More examples below.
> The following code works in Spark 1.3.1, and in Spark > 1.5 with Tungsten disabled:
> {code}
> // Array of String
> case class AS( as: Seq[String] )
> val dfAS = sc.parallelize( Seq( AS ( Seq("a",null,"b") ) ) ).toDF
> dfAS.registerTempTable("T_AS")
> for (i <- 0 to 10) { println(i + " = " + sqlContext.sql(s"select as[$i] from T_AS").collect.mkString(","))}
> // Array of Int
> case class AI( ai: Seq[Option[Int]] )
> val dfAI = sc.parallelize( Seq( AI ( Seq(Some(1),None,Some(2) ) ) ) ).toDF
> dfAI.registerTempTable("T_AI")
> for (i <- 0 to 10) { println(i + " = " + sqlContext.sql(s"select ai[$i] from T_AI").collect.mkString(","))}
> // Array of struct[Int,String]
> case class B(x: Option[Int], y: String)
> case class A( b: Seq[B] )
> val df1 = sc.parallelize( Seq( A ( Seq( B(Some(1),"a"),B(Some(2),"b"), B(None, "c"), B(Some(4),null), B(None,null), null ) ) ) ).toDF
> df1.registerTempTable("T1")
> val df2 = sc.parallelize( Seq( A ( Seq( B(Some(1),"a"),B(Some(2),"b"), B(None, "c"), B(Some(4),null), B(None,null), null ) ), A(null) ) ).toDF
> df2.registerTempTable("T2")
> for (i <- 0 to 10) { println(i + " = " + sqlContext.sql(s"select b[$i].x, b[$i].y from T1").collect.mkString(","))}
> for (i <- 0 to 10) { println(i + " = " + sqlContext.sql(s"select b[$i].x, b[$i].y from T2").collect.mkString(","))}
> // Struct[Int,String]
> case class C(b: B)
> val df3 = sc.parallelize( Seq( C ( B(Some(1),"test") ), C(null) ) ).toDF
> df3.registerTempTable("T3")
> sqlContext.sql("select b.x, b.y from T3").collect
> {code}
> With Tungsten enabled, it reaches NullPointerException.



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