Zhenxiao Luo created PARQUET-131:
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Summary: Supporting Vectorized APIs in Parquet
Key: PARQUET-131
URL: https://issues.apache.org/jira/browse/PARQUET-131
Project: Parquet
Issue Type: Improvement
Components: parquet-mr
Reporter: Zhenxiao Luo
Assignee: Zhenxiao Luo
Vectorized Query Execution could have big performance improvement for SQL
engines like Hive, Drill, and Presto. Instead of processing one row at a time,
Vectorized Query Execution could streamline operations by processing a batch of
rows at a time. Within one batch, each column is represented as a vector of a
primitive data type. SQL engines could apply predicates very efficiently on
these vectors, avoiding a single row going through all the operators before the
next row can be processed.
As an efficient columnar data representation, it would be nice if Parquet could
support Vectorized APIs, so that all SQL engines could read vectors from
Parquet files, and do vectorized execution for Parquet File Format.
Detail proposal:
https://gist.github.com/zhenxiao/2728ce4fe0a7be2d3b30
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