[jira] [Work logged] (HIVE-23345) INT64 Parquet timestamps cannot be read into bigint Hive type

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HIVE-23345?focusedWorklogId=429477&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-429477 ]

ASF GitHub Bot logged work on HIVE-23345:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 01/May/20 13:26
            Start Date: 01/May/20 13:26
    Worklog Time Spent: 10m 
      Work Description: pgaref opened a new pull request #1001:
URL: https://github.com/apache/hive/pull/1001


   Enable Parquet timestamps types (INT64 and INT96) conversion to Hive BIGINT type
   
   Adding test cases
   
   Change-Id: I8666a95cc7ff7495a86b960c2ea173cd875bfa4f


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Issue Time Tracking
-------------------

            Worklog Id:     (was: 429477)
    Remaining Estimate: 0h
            Time Spent: 10m

> INT64 Parquet timestamps cannot be read into bigint Hive type
> -------------------------------------------------------------
>
>                 Key: HIVE-23345
>                 URL: https://issues.apache.org/jira/browse/HIVE-23345
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 4.0.0
>            Reporter: Marta Kuczora
>            Assignee: Panagiotis Garefalakis
>            Priority: Major
>         Attachments: HIVE-23345.01.patch
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> How to reproduce:
> - create external table ts_pq (ts timestamp) stored as parquet;
> - insert into ts_pq values ('1998-10-03 09:58:31.231');
> - create external table ts_pq_2 (ts bigint) stored as parquet location '<location of ts_pq>';
> - select * from ts_pq_2;
> The following exception occurs during the select:
> Failed with exception java.io.IOException:org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.ClassCastException: org.apache.hadoop.hive.serde2.io.TimestampWritableV2 cannot be cast to org.apache.hadoop.io.LongWritable



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