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guoxiaolong d2b8b63b93 [SAPRK-20785][WEB-UI][SQL] Spark should provide jump links and add (count) in the SQL web ui. 
## What changes were proposed in this pull request?

propose:

it provide links that jump to Running Queries,Completed Queries and Failed Queries.
it add (count) about Running Queries,Completed Queries and Failed Queries.
This is a small optimization in in the SQL web ui.

fix before:

![1](https://user-images.githubusercontent.com/26266482/30840686-36025cc0-a2ab-11e7-8d8d-1de0122a84fb.png)

fix after:
![2](https://user-images.githubusercontent.com/26266482/30840723-6cc67a52-a2ab-11e7-8002-9191a55895a6.png)

## How was this patch tested?

manual tests

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: guoxiaolong <guo.xiaolong1@zte.com.cn>

Closes #19346 from guoxiaolongzte/SPARK-20785.
2017-09-27 20:48:55 +08:00
..
catalyst [SPARK-22141][SQL] Propagate empty relation before checking Cartesian products 2017-09-27 12:44:10 +02:00
core [SAPRK-20785][WEB-UI][SQL] Spark should provide jump links and add (count) in the SQL web ui. 2017-09-27 20:48:55 +08:00
hive [SPARK-22120][SQL] TestHiveSparkSession.reset() should clean out Hive warehouse directory 2017-09-25 14:16:11 -07:00
hive-thriftserver [SPARK-22087][SPARK-14650][WIP][BUILD][REPL][CORE] Compile Spark REPL for Scala 2.12 + other 2.12 fixes 2017-09-24 09:40:13 +01:00
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.