[jira] [Assigned] (SPARK-10364) Support Parquet logical type TIMESTAMP_MILLIS

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10364?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-10364:
------------------------------------

    Assignee: Apache Spark

> Support Parquet logical type TIMESTAMP_MILLIS
> ---------------------------------------------
>
>                 Key: SPARK-10364
>                 URL: https://issues.apache.org/jira/browse/SPARK-10364
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Cheng Lian
>            Assignee: Apache Spark
>
> The {{TimestampType}} in Spark SQL is of microsecond precision. Ideally, we should convert Spark SQL timestamp values into Parquet {{TIMESTAMP_MICROS}}. But unfortunately parquet-mr hasn't supported it yet.
> For the read path, we should be able to read {{TIMESTAMP_MILLIS}} Parquet values and pad a 0 microsecond part to read values.
> For the write path, currently we are writing timestamps as {{INT96}}, similar to Impala and Hive. One alternative is that, we can have a separate SQL option to let users be able to write Spark SQL timestamp values as {{TIMESTAMP_MILLIS}}. Of course, in this way the microsecond part will be truncated.



--
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