Vectorized Reader In Parquet

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

**Reporter**: [Zhenxiao Luo](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=zhenxiao) / @zhenxiao
**Assignee**: [Zhenxiao Luo](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=zhenxiao) / @zhenxiao
#### Subtasks:
- [ ] [[Vectorized Reader] Support Complex Types (Map, Array, Struct) in Parquet Vectorized Reader](https://github.com/apache/parquet-java/issues/1824)
- [ ] [[Vectorized Reader] ColumnVector length should be in terms of rows, not DataPages](https://github.com/apache/parquet-java/issues/1439)
- [ ] [[Vectorized Reader] Make sure all encodings work in Parquet Vectorized Reader](https://github.com/apache/parquet-java/issues/1825)
- [ ] [[Vectorized Reader] Lazy Load in Vectorized Reader](https://github.com/apache/parquet-java/issues/1826)
- [ ] [[Vectorized Reader] Lazy Decoding in Vectorized Reader](https://github.com/apache/parquet-java/issues/1827)
- [ ] [[Vectorized Reader] Add Testcases/Benchmarks for ParquetVectorizedReader](https://github.com/apache/parquet-java/issues/1828)
- [ ] [[Vectorized Reader] Add attributes in ColumnVector and RowBatch](https://github.com/apache/parquet-java/issues/1852)
#### Related issues:
- [Improve Parquet Vectorization](https://issues.apache.org/jira/browse/HIVE-8128) (is related to)
#### Original Issue Attachments:
- [ParquetInPresto.pdf](https://issues.apache.org/jira/secure/attachment/12684592/ParquetInPresto.pdf)
- [Parquet-Vectorized-APIs.pdf](https://issues.apache.org/jira/secure/attachment/12684393/Parquet-Vectorized-APIs.pdf)

_{**Note**: *This issue was originally created as [PARQUET-131](https://issues.apache.org/jira/browse/PARQUET-131). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

从链接的 vectorized API 提案开始，针对当前范围检查列出的子任务，尤其关注复杂类型、编码、延迟加载和基准测试。完成的标准是 Parquet 提供适用于 SQL 引擎的向量化读取支持，并且列出的 reader 行为以及测试或基准测试覆盖已得到处理。

由索引模型根据 Issue 内容生成。