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Terry Kim 59db1f617a [SPARK-29609][SQL] DataSourceV2: Support DROP NAMESPACE 
### What changes were proposed in this pull request?

This PR adds `DROP NAMESPACE` support for V2 catalogs.

### Why are the changes needed?

Currently, you cannot drop namespaces for v2 catalogs.

### Does this PR introduce any user-facing change?

The user can now perform the following:
```SQL
CREATE NAMESPACE mycatalog.ns
DROP NAMESPACE mycatalog.ns
SHOW NAMESPACES IN mycatalog # Will show no namespaces
```
to drop a namespace `ns` inside `mycatalog` V2 catalog.

### How was this patch tested?

Added unit tests.

Closes #26262 from imback82/drop_namespace.

Authored-by: Terry Kim <yuminkim@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-10-28 15:00:22 -07:00
..
catalyst [SPARK-29609][SQL] DataSourceV2: Support DROP NAMESPACE 2019-10-28 15:00:22 -07:00
core [SPARK-29609][SQL] DataSourceV2: Support DROP NAMESPACE 2019-10-28 15:00:22 -07:00
hive [SPARK-28158][SQL] Hive UDFs supports UDT type 2019-10-28 20:50:34 +09:00
hive-thriftserver [SPARK-29599][WEBUI] Support pagination for session table in JDBC/ODBC Tab 2019-10-28 08:45:21 -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 [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow 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.