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Jungtaek Lim fa8c37acb1 [SPARK-34891][SS] Introduce state store manager for session window in streaming query 
Introduction: this PR is a part of SPARK-10816 (`EventTime based sessionization (session window)`). Please refer #31937 to see the overall view of the code change. (Note that code diff could be diverged a bit.)

### What changes were proposed in this pull request?

This PR introduces state store manager for session window in streaming query. Session window in batch query wouldn't need to leverage state store manager.

This PR ensures versioning on state format for state store manager, so that we can apply further optimization after releasing Spark version. StreamingSessionWindowStateManager is a trait defining the available methods in session window state store manager. Its subclasses are classes implementing the trait with versioning.

The format of version 1 leverages the new feature of "prefix match scan" to represent the session windows:

* full key : [ group keys, start time in session window ]
* prefix key [ group keys ]

### Why are the changes needed?

This part is a one of required on implementing SPARK-10816.

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

No.

### How was this patch tested?

New test suite added

Closes #31989 from HeartSaVioR/SPARK-34891-SPARK-10816-PR-31570-part-3.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
(cherry picked from commit 0fe2d809d6)
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
2021-07-13 08:58:42 -07:00
..
catalyst [SPARK-36033][SQL][TEST] Validate partitioning requirements in TPCDS tests 2021-07-13 21:17:25 +08:00
core [SPARK-34891][SS] Introduce state store manager for session window in streaming query 2021-07-13 08:58:42 -07:00
hive [SPARK-36012][SQL] Add null flag in SHOW CREATE TABLE 2021-07-09 01:21:57 +08:00
hive-thriftserver [SPARK-35749][SPARK-35773][SQL] Parse unit list interval literals as tightest year-month/day-time interval types 2021-07-13 18:55:22 +08:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md

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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.