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Wenchen Fan c7307acdad [SPARK-15689][SQL] data source v2 read path 
## What changes were proposed in this pull request?

This PR adds the infrastructure for data source v2, and implement features which Spark already have in data source v1, i.e. column pruning, filter push down, catalyst expression filter push down, InternalRow scan, schema inference, data size report. The write path is excluded to avoid making this PR growing too big, and will be added in follow-up PR.

## How was this patch tested?

new tests

Author: Wenchen Fan <wenchen@databricks.com>

Closes #19136 from cloud-fan/data-source-v2.
2017-09-15 22:18:36 +08:00
..
catalyst [SPARK-22018][SQL] Preserve top-level alias metadata when collapsing projects 2017-09-14 22:32:16 -07:00
core [SPARK-15689][SQL] data source v2 read path 2017-09-15 22:18:36 +08:00
hive [SPARK-4131][FOLLOW-UP] Support "Writing data into the filesystem from queries" 2017-09-14 14:48:04 +08:00
hive-thriftserver [SPARK-18061][THRIFTSERVER] Add spnego auth support for ThriftServer thrift/http protocol 2017-09-06 09:39:39 +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.