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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2016/08/24 05:17:21 UTC

[jira] [Commented] (SPARK-17198) ORC fixed char literal filter does not work

    [ https://issues.apache.org/jira/browse/SPARK-17198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15434191#comment-15434191 ] 

Dongjoon Hyun commented on SPARK-17198:
---------------------------------------

Hi, [~tuming].
The reported error scenario in HIVE-11312 seems to work without problems in Spark 2.0 like the following.

{code}
scala> sql("create table orc_test( col1 string, col2 char(10)) stored as orc tblproperties ('orc.compress'='NONE')")
scala> sql("insert into orc_test values ('val1', '1')")
scala> sql("select * from orc_test where col2='1'").show
+----+----+
|col1|col2|
+----+----+
|val1|   1|
+----+----+
scala> spark.version
res3: String = 2.0.0
{code}

Could you give us some reproducible examples?

> ORC fixed char literal filter does not work
> -------------------------------------------
>
>                 Key: SPARK-17198
>                 URL: https://issues.apache.org/jira/browse/SPARK-17198
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.1
>            Reporter: tuming
>
> I have got wrong result when I run the following query in SparkSQL. 
> select * from orc_table where char_col ='5LZS';
> Table orc_table is a ORC format table.
> Column char_col is defined as char(6). 
> The hive record reader will return a char(6) string to the spark. And the spark has no fixed char type. All fixed char type attributes are converted to String by default. Meanwhile the constant literal is parsed to a string Literal.  So it won't return true forever while doing the equal comparison. For instance: '5LZS'=='5LZS  '.
> But I can get correct result in Hive using same data and sql string because hive append spaces for those constant literal. Please refer to:
> https://issues.apache.org/jira/browse/HIVE-11312
> I found there is no such patch for spark.
>  



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