[
https://issues.apache.org/jira/browse/SPARK-14757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Reynold Xin updated SPARK-14757:
--------------------------------
Description:
Content of table a:
|outgoing_0|
| false |
| true |
| null |
a has only one field: outgoing_0
Content of table b:
|outgoing_1|
| false |
| true |
| null |
b has only one filed: outgoing_1
After running this query:
{code}
select * from a FULL JOIN b ON ( outgoing_0<=>outgoing_1)
{code}
I got the following result:
|outgoing_0|outgoing_1|
| true | true |
| false | false |
| false | null |
| null | null |
The row with "false" as outgoing_0 and "null" as outgoing_1 is unexpected. The
operator <=> should match null with null.
While left "false" is matched with right "null", it is also strange to find
that the "false" on the right table does not match with "null" on the left
table (no row with "null" as outgoing_0 and "false" as outgoing_1)
You can easily reproduce this bug by pasting the following code fragment:
{code}
case class A( outgoing_0: Option[Boolean] )
case class B( outgoing_1: Option[Boolean] )
{code}
{code}
val a = sc.parallelize( Seq(
A( Some( false ) ),
A( Some( true ) ),
A( None )
) ).toDF()
a.show
val b = sc.parallelize( Seq(
B( Some( false ) ),
B( Some( true ) ),
B( None )
) ).toDF()
b.show
a.registerTempTable( "a" )
b.registerTempTable( "b" )
sqlContext.sql( "select * from a FULL JOIN b ON ( outgoing_0<=>outgoing_1)"
).show()
{code}
was:
Content of table a:
|outgoing_0|
| false |
| true |
| null |
a has only one field: outgoing_0
Content of table b:
|outgoing_1|
| false |
| true |
| null |
b has only one filed: outgoing_1
After running this query:
select * from a FULL JOIN b ON ( outgoing_0<=>outgoing_1)
I got the following result:
|outgoing_0|outgoing_1|
| true | true |
| false | false |
| false | null |
| null | null |
The row with "false" as outgoing_0 and "null" as outgoing_1 is unexpected. The
operator <=> should match null with null.
While left "false" is matched with right "null", it is also strange to find
that the "false" on the right table does not match with "null" on the left
table (no row with "null" as outgoing_0 and "false" as outgoing_1)
You can easily reproduce this bug by pasting the following code fragment:
{code}
case class A( outgoing_0: Option[Boolean] )
case class B( outgoing_1: Option[Boolean] )
{code}
{code}
val a = sc.parallelize( Seq(
A( Some( false ) ),
A( Some( true ) ),
A( None )
) ).toDF()
a.show
val b = sc.parallelize( Seq(
B( Some( false ) ),
B( Some( true ) ),
B( None )
) ).toDF()
b.show
a.registerTempTable( "a" )
b.registerTempTable( "b" )
sqlContext.sql( "select * from a FULL JOIN b ON ( outgoing_0<=>outgoing_1)"
).show()
{code}
> Incorrect behavior of Join operation in Spqrk SQL JOIN : "false" in the left
> table is joined to "null" on the right table
> -------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-14757
> URL: https://issues.apache.org/jira/browse/SPARK-14757
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Hong Huang
>
> Content of table a:
> |outgoing_0|
> | false |
> | true |
> | null |
> a has only one field: outgoing_0
> Content of table b:
> |outgoing_1|
> | false |
> | true |
> | null |
> b has only one filed: outgoing_1
> After running this query:
> {code}
> select * from a FULL JOIN b ON ( outgoing_0<=>outgoing_1)
> {code}
> I got the following result:
> |outgoing_0|outgoing_1|
> | true | true |
> | false | false |
> | false | null |
> | null | null |
> The row with "false" as outgoing_0 and "null" as outgoing_1 is unexpected.
> The operator <=> should match null with null.
> While left "false" is matched with right "null", it is also strange to find
> that the "false" on the right table does not match with "null" on the left
> table (no row with "null" as outgoing_0 and "false" as outgoing_1)
> You can easily reproduce this bug by pasting the following code fragment:
> {code}
> case class A( outgoing_0: Option[Boolean] )
> case class B( outgoing_1: Option[Boolean] )
> {code}
> {code}
> val a = sc.parallelize( Seq(
> A( Some( false ) ),
> A( Some( true ) ),
> A( None )
> ) ).toDF()
> a.show
> val b = sc.parallelize( Seq(
> B( Some( false ) ),
> B( Some( true ) ),
> B( None )
> ) ).toDF()
> b.show
> a.registerTempTable( "a" )
> b.registerTempTable( "b" )
> sqlContext.sql( "select * from a FULL JOIN b ON (
> outgoing_0<=>outgoing_1)" ).show()
> {code}
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