[jira] [Commented] (SPARK-11374) skip.header.line.count is ignored in HiveContext

[Stephane Maarek (JIRA)]

    [ 
https://issues.apache.org/jira/browse/SPARK-11374?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15238689#comment-15238689
 ] 

Stephane Maarek commented on SPARK-11374:
-----------------------------------------

any updates on this?
Just some log:

{code}

CREATE SCHEMA IF NOT EXISTS spark_testing;
DROP TABLE IF EXISTS spark_testing.test_csv_2;
CREATE EXTERNAL TABLE `spark_testing.test_csv_2`(
  column_1 varchar(10),
  column_2 decimal(4,2))
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE LOCATION '/spark_testing_2'
TBLPROPERTIES('serialization.null.format'='', "skip.header.line.count"="1");
select * from spark_testing.test_csv_2;

hive> select * from spark_testing.test_csv_2;
OK
NULL    3
{code}

spark:

{code}

scala> sqlContext.sql("select * from spark_testing.test_csv_2").show()

+--------+--------+
|column_1|column_2|
+--------+--------+
|       a|    null|
|    null|    3.00|
+--------+--------+

{code}

That's a big problem

> skip.header.line.count is ignored in HiveContext
> ------------------------------------------------
>
>                 Key: SPARK-11374
>                 URL: https://issues.apache.org/jira/browse/SPARK-11374
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.1
>            Reporter: Daniel Haviv
>
> csv table in Hive which is configured to skip the header row using 
> TBLPROPERTIES("skip.header.line.count"="1").
> When querying from Hive the header row is not included in the data, but when 
> running the same query via HiveContext I get the header row.
> "show create table " via the HiveContext confirms that it is aware of the 
> setting.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org