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zuotingbing 3f9247de1e [SPARK-27010][SQL] Find out the actual port number when hive.server2.thrift.port=0 
## What changes were proposed in this pull request?
Currently, if we set hive.server2.thrift.port=0, it hard to find out the actual port number which one we should use when using beeline to connect.

before:
![2019-02-28_170942](https://user-images.githubusercontent.com/24823338/53557240-779ad800-3b80-11e9-9567-175f28aa61da.png)

after:
![2019-02-28_170904](https://user-images.githubusercontent.com/24823338/53557255-7f5a7c80-3b80-11e9-8ba6-9764c03e5407.png)

use beeline to connect success:
![2019-02-28_170844](https://user-images.githubusercontent.com/24823338/53557267-85e8f400-3b80-11e9-90a5-f7f53a51cc32.png)

## How was this patch tested?
 manual tests

Closes #23917 from zuotingbing/SPARK-27010.

Authored-by: zuotingbing <zuo.tingbing9@zte.com.cn>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-03-12 13:38:41 -05:00
..
catalyst [SPARK-27011][SQL] reset command fails with cache 2019-03-12 11:02:09 +08:00
core [SPARK-27090][CORE] Removing old LEGACY_DRIVER_IDENTIFIER ("<driver>") 2019-03-12 13:29:39 -05:00
hive [SPARK-27118][SQL] Upgrade Hive Metastore Client to the latest versions for Hive 1.0.x/1.1.x 2019-03-09 16:50:10 -08:00
hive-thriftserver [SPARK-27010][SQL] Find out the actual port number when hive.server2.thrift.port=0 2019-03-12 13:38:41 -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-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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.