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[SPARK-17912] [SQL] Refactor code generation to get data for ColumnVector/ColumnarBatch
Kazuaki Ishizaki authored 
## What changes were proposed in this pull request?

This PR refactors the code generation part to get data from `ColumnarVector` and `ColumnarBatch` by using a trait `ColumnarBatchScan` for ease of reuse. This is because this part will be reused by several components (e.g. parquet reader, Dataset.cache, and others) since `ColumnarBatch` will be first citizen.

This PR is a part of https://github.com/apache/spark/pull/15219. In advance, this PR makes the code generation for  `ColumnarVector` and `ColumnarBatch` reuseable as a trait. In general, this is very useful for other components from the reuseability view, too.
## How was this patch tested?

tested existing test suites

Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com>

Closes #15467 from kiszk/columnarrefactor.
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catalyst
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hive-thriftserver
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README.md
README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.