spark-instrumented-optimizer/sql
Ryan Blue 5ea134c354 [SPARK-28628][SQL] Implement SupportsNamespaces in V2SessionCatalog
## What changes were proposed in this pull request?

This adds namespace support to V2SessionCatalog.

## How was this patch tested?

WIP: will add tests for v2 session catalog namespace methods.

Closes #25363 from rdblue/SPARK-28628-support-namespaces-in-v2-session-catalog.

Authored-by: Ryan Blue <blue@apache.org>
Signed-off-by: Burak Yavuz <brkyvz@gmail.com>
2019-09-03 13:13:27 -07:00
..
catalyst [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table 2019-09-03 13:40:06 +08:00
core [SPARK-28628][SQL] Implement SupportsNamespaces in V2SessionCatalog 2019-09-03 13:13:27 -07:00
hive [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table 2019-09-03 13:40:06 +08:00
hive-thriftserver [SPARK-28527][SQL][TEST][FOLLOW-UP] Ignores Thrift server ThriftServerQueryTestSuite 2019-08-27 15:41:22 +09:00
create-docs.sh
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
README.md [SPARK-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -07:00

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.