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Posted to issues@hive.apache.org by "Ganesha Shreedhara (Jira)" <ji...@apache.org> on 2020/04/02 02:43:00 UTC
[jira] [Work started] (HIVE-21492) VectorizedParquetRecordReader
can't to read parquet file generated using thrift/custom tool
[ https://issues.apache.org/jira/browse/HIVE-21492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Work on HIVE-21492 started by Ganesha Shreedhara.
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> 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.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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