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From "Ganesha Shreedhara (Jira)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-21492) VectorizedParquetRecordReader can't to read parquet file generated using thrift/custom tool
Date Sat, 04 Apr 2020 01:53:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-21492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ganesha Shreedhara updated HIVE-21492:
--------------------------------------
    Status: Patch Available  (was: Open)

> VectorizedParquetRecordReader can't to read parquet file generated using thrift/custom
tool
> -------------------------------------------------------------------------------------------
>
>                 Key: HIVE-21492
>                 URL: https://issues.apache.org/jira/browse/HIVE-21492
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Ganesha Shreedhara
>            Assignee: Ganesha Shreedhara
>            Priority: Major
>         Attachments: HIVE-21492.2.patch, HIVE-21492.3.patch, HIVE-21492.4.patch, HIVE-21492.patch
>
>
> Taking an example of a parquet table having array of integers as below. 
> {code:java}
> CREATE EXTERNAL TABLE ( list_of_ints` array<int>)
> STORED AS PARQUET 
> LOCATION '{location}';
> {code}
> Parquet file generated using hive will have schema for Type as below:
> {code:java}
> group list_of_ints (LIST) { repeated group bag { optional int32 array;\n};\n} {code}
> Parquet file generated using thrift or any custom tool (using org.apache.parquet.io.api.RecordConsumer)
> may have schema for Type as below:
> {code:java}
> required group list_of_ints (LIST) { repeated int32 list_of_tuple} {code}
> VectorizedParquetRecordReader handles only parquet file generated using hive. It throws
the following exception when parquet file generated using thrift is read because of the changes
done as part of HIVE-18553 .
> {code:java}
> Caused by: java.lang.ClassCastException: repeated int32 list_of_ints_tuple is not a group
>  at org.apache.parquet.schema.Type.asGroupType(Type.java:207)
>  at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.getElementType(VectorizedParquetRecordReader.java:479)
>  at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.buildVectorizedParquetReader(VectorizedParquetRecordReader.java:532)
>  at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.checkEndOfRowGroup(VectorizedParquetRecordReader.java:440)
>  at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:401)
>  at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.next(VectorizedParquetRecordReader.java:353)
>  at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.next(VectorizedParquetRecordReader.java:92)
>  at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:365){code}
>  
>  I have done a small change to handle the case where the child type of group type can
be PrimitiveType.



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