ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Wenchen Fan d3a1d9527b [SPARK-22786][SQL] only use AppStatusPlugin in history server 
## What changes were proposed in this pull request?

In https://github.com/apache/spark/pull/19681 we introduced a new interface called `AppStatusPlugin`, to register listeners and set up the UI for both live and history UI.

However I think it's an overkill for live UI. For example, we should not register `SQLListener` if users are not using SQL functions. Previously we register the `SQLListener` and set up SQL tab when `SparkSession` is firstly created, which indicates users are going to use SQL functions. But in #19681 , we register the SQL functions during `SparkContext` creation. The same thing should apply to streaming too.

I think we should keep the previous behavior, and only use this new interface for history server.

To reflect this change, I also rename the new interface to `SparkHistoryUIPlugin`

This PR also refines the tests for sql listener.

## How was this patch tested?

existing tests

Author: Wenchen Fan <wenchen@databricks.com>

Closes #19981 from cloud-fan/listener.
2017-12-22 01:08:13 +08:00
..
catalyst [SPARK-22668][SQL] Ensure no global variables in arguments of method split by CodegenContext.splitExpressions() 2017-12-22 00:21:27 +08:00
core [SPARK-22786][SQL] only use AppStatusPlugin in history server 2017-12-22 01:08:13 +08:00
hive [SPARK-22745][SQL] read partition stats from Hive 2017-12-13 16:27:29 +08:00
hive-thriftserver Revert "Revert "[SPARK-22496][SQL] thrift server adds operation logs"" 2017-12-19 07:30:29 +09:00
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.