[ 
https://issues.apache.org/jira/browse/SPARK-1959?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14012031#comment-14012031
 ] 

Cheng Lian commented on SPARK-1959:
-----------------------------------

The problematic line should be [this 
one|https://github.com/apache/spark/blob/master/sql%2Fhive%2Fsrc%2Fmain%2Fscala%2Forg%2Fapache%2Fspark%2Fsql%2Fhive%2FhiveOperators.scala#L154].
 I wonder under what circumstances, would Hive return a Java string {{"NULL"}} 
to represent a null value? Is it safe to simply remove this line? [~marmbrus]

> String "NULL" is interpreted as null value
> ------------------------------------------
>
>                 Key: SPARK-1959
>                 URL: https://issues.apache.org/jira/browse/SPARK-1959
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.0.0
>            Reporter: Cheng Lian
>
> The {{HiveTableScan}} operator unwraps string "NULL" (case insensitive) into 
> null values even if the column type is {{STRING}}.
> To reproduce the bug, we use 
> {{sql/hive/src/test/resources/groupby_groupingid.txt}} as test input, copied 
> to {{/tmp/groupby_groupingid.txt}}.
> Hive session:
> {code}
> hive> CREATE TABLE test_null(key INT, value STRING);
> hive> LOAD DATA LOCAL INPATH '/tmp/groupby_groupingid.txt' INTO table 
> test_null;
> hive> SELECT * FROM test_null WHERE value IS NOT NULL;
> ...
> OK
> 1       NULL
> 1       1
> 2       2
> 3       3
> 3       NULL
> 4       5
> {code}
> We can see that the {{NULL}} cells in the original input file are interpreted 
> as string {{"NULL"}} in Hive.
> Spark SQL session ({{sbt/sbt hive/console}}):
> {code}
> scala> hql("CREATE TABLE test_null(key INT, value STRING)")
> scala> hql("LOAD DATA LOCAL INPATH '/tmp/groupby_groupingid.txt' INTO table 
> test_null")
> scala> hql("SELECT * FROM test_null WHERE value IS NOT NULL").foreach(println)
> ...
> [1,1]
> [2,2]
> [3,3]
> [4,5]
> {code}
> As we can see, string {{"NULL"}} is interpreted as null values in Spark SQL.



--
This message was sent by Atlassian JIRA
(v6.2#6252)

Reply via email to