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Jungtaek Lim (HeartSaVioR) 5f3658a8d8 [SPARK-26170][SS] Add missing metrics in FlatMapGroupsWithState 
## What changes were proposed in this pull request?

This patch addresses measuring possible metrics in StateStoreWriter to FlatMapGroupsWithStateExec. Please note that some metrics like time to remove elements are not addressed because they are coupled with state function.

## How was this patch tested?

Manually tested with https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/sql/streaming/StructuredSessionization.scala.

Snapshots below:

![screen shot 2018-11-26 at 4 13 40 pm](https://user-images.githubusercontent.com/1317309/48999346-b5f7b400-f199-11e8-89c7-8795f13470d6.png)
![screen shot 2018-11-26 at 4 13 54 pm](https://user-images.githubusercontent.com/1317309/48999347-b5f7b400-f199-11e8-91ef-ef0b2f816b2e.png)

Closes #23142 from HeartSaVioR/SPARK-26170.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan@gmail.com>
Signed-off-by: Jose Torres <torres.joseph.f+github@gmail.com>
2019-01-25 13:37:42 -08:00
..
catalyst [SPARK-26720][SQL] Remove DateTimeUtils methods based on system default time zone 2019-01-25 17:06:22 +08:00
core [SPARK-26170][SS] Add missing metrics in FlatMapGroupsWithState 2019-01-25 13:37:42 -08:00
hive [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core. 2019-01-25 10:36:00 -08:00
hive-thriftserver [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core. 2019-01-25 10:36:00 -08:00
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.