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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10364) Support Parquet logical type TIMESTAMP_MILLIS
Date Wed, 05 Oct 2016 00:35:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10364?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15547189#comment-15547189
] 

Apache Spark commented on SPARK-10364:
--------------------------------------

User 'dilipbiswal' has created a pull request for this issue:
https://github.com/apache/spark/pull/15332

> 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
>
> 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.



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