spark-instrumented-optimizer/sql
Liang-Chi Hsieh 9c41bfd83c [SPARK-27502][SQL][TEST] Update nested schema benchmark result for Orc V2
## What changes were proposed in this pull request?

We added nested schema pruning support to Orc V2 recently. The benchmark result should be updated. The benchmark numbers are obtained by running benchmark on r3.xlarge machine.

## How was this patch tested?

Test only change.

Closes #24399 from viirya/update-orcv2-benchmark.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-04-18 08:08:22 -07:00
..
catalyst [SPARK-27423][SQL][FOLLOWUP] Minor polishes to Cast codegen templates for Date <-> Timestamp 2019-04-18 14:27:33 +08:00
core [SPARK-27502][SQL][TEST] Update nested schema benchmark result for Orc V2 2019-04-18 08:08:22 -07:00
hive [SPARK-27448][SQL] File source V2 table provider should be compatible with V1 provider 2019-04-16 14:26:38 +08:00
hive-thriftserver [SPARK-27404][CORE][SQL][STREAMING][YARN] Fix build warnings for 3.0: postfixOps edition 2019-04-11 13:43:44 -05:00
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-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.