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Wenchen Fan dce1610ae3 [SPARK-22514][SQL] move ColumnVector.Array and ColumnarBatch.Row to individual files 
## What changes were proposed in this pull request?

Logically the `Array` doesn't belong to `ColumnVector`, and `Row` doesn't belong to `ColumnarBatch`. e.g. `ColumnVector` needs to return `Array` for `getArray`, and `Row` for `getStruct`. `Array` and `Row` can return each other with the `getArray`/`getStruct` methods.

This is also a step to make `ColumnVector` public, it's cleaner to have `Array` and `Row` as top-level classes.

This PR is just code moving around, with 2 renaming: `Array` -> `VectorBasedArray`, `Row` -> `VectorBasedRow`.

## How was this patch tested?

existing tests.

Author: Wenchen Fan <wenchen@databricks.com>

Closes #19740 from cloud-fan/vector.
2017-11-15 14:42:37 +01:00
..
catalyst [SPARK-17074][SQL] Generate equi-height histogram in column statistics 2017-11-14 16:41:43 +01:00
core [SPARK-22514][SQL] move ColumnVector.Array and ColumnarBatch.Row to individual files 2017-11-15 14:42:37 +01:00
hive [SPARK-17074][SQL] Generate equi-height histogram in column statistics 2017-11-14 16:41:43 +01:00
hive-thriftserver [SPARK-22487][SQL][FOLLOWUP] still keep spark.sql.hive.version 2017-11-13 13:10:13 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.