You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2015/08/24 09:48:45 UTC
[jira] [Updated] (SPARK-10177) Parquet support interprets timestamp
values differently from Hive 0.14.0+
[ https://issues.apache.org/jira/browse/SPARK-10177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Cheng Lian updated SPARK-10177:
-------------------------------
Summary: Parquet support interprets timestamp values differently from Hive 0.14.0+ (was: Parquet support interpret timestamp values differently from Hive 0.14.0+)
> Parquet support interprets timestamp values differently from Hive 0.14.0+
> -------------------------------------------------------------------------
>
> Key: SPARK-10177
> URL: https://issues.apache.org/jira/browse/SPARK-10177
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Priority: Blocker
>
> Running the following SQL under Hive 0.14.0+ (tested against 0.14.0 and 1.2.1):
> {code:sql}
> CREATE TABLE ts_test STORED AS PARQUET
> AS SELECT CAST("2015-01-01 00:00:00" AS TIMESTAMP);
> {code}
> Then read the Parquet file generated by Hive with Spark SQL:
> {noformat}
> scala> sqlContext.read.parquet("hdfs://localhost:9000/user/hive/warehouse_hive14/ts_test").collect()
> res1: Array[org.apache.spark.sql.Row] = Array([2015-01-01 12:00:00.0])
> {noformat}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org