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https://issues.apache.org/jira/browse/FLINK-11899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014909#comment-17014909
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Jingsong Lee commented on FLINK-11899:
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Hi [~hpeter], another way is re-writing readers instead of re-using hive
readers, just like:
[https://github.com/flink-tpc-ds/flink/tree/tpcds-master/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/parquet]
I think that is better way, otherwise we will deal with multi hive versions
again... Which is annoying.
> Introduce vectorized parquet InputFormat for blink runtime
> ----------------------------------------------------------
>
> Key: FLINK-11899
> URL: https://issues.apache.org/jira/browse/FLINK-11899
> Project: Flink
> Issue Type: Sub-task
> Components: Table SQL / Runtime
> Reporter: Jingsong Lee
> Assignee: Zhenqiu Huang
> Priority: Major
> Fix For: 1.11.0
>
>
> VectorizedParquetInputFormat is introduced to read parquet data in batches.
> When returning each row of data, instead of actually retrieving each field,
> we use BaseRow's abstraction to return a Columnar Row-like view.
> This will greatly improve the downstream filtered scenarios, so that there is
> no need to access redundant fields on the filtered data.
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