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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2019/12/24 01:45:00 UTC

[jira] [Updated] (HIVE-22224) Support Parquet-Avro Timestamp Type

     [ https://issues.apache.org/jira/browse/HIVE-22224?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated HIVE-22224:
----------------------------------
    Labels: parquet pull-request-available  (was: parquet)

> Support Parquet-Avro Timestamp Type
> -----------------------------------
>
>                 Key: HIVE-22224
>                 URL: https://issues.apache.org/jira/browse/HIVE-22224
>             Project: Hive
>          Issue Type: Bug
>          Components: Database/Schema
>    Affects Versions: 2.3.5, 2.3.6
>            Reporter: cdmikechen
>            Assignee: cdmikechen
>            Priority: Major
>              Labels: parquet, pull-request-available
>             Fix For: 2.3.7
>
>
> When user create an external table and import a parquet-avro data with 1.8.2 version which supported logical_type in Hive2.3 or before version, Hive can not read timestamp type column data correctly.
> Hive will read it as LongWritable which it actually stores as long(logical_type=timestamp-millis).So we may add some codes in org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableTimestampObjectInspector.java to let Hive cast long type to timestamp type.
> Some code like below:
>  
> public Timestamp getPrimitiveJavaObject(Object o) {
>   if (o instanceof LongWritable) {
>     return new Timestamp(((LongWritable) o).get());
>   }
>   return o == null ? null : ((TimestampWritable) o).getTimestamp();
> }
>  



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