spark-instrumented-optimizer/sql
Liang-Chi Hsieh 0e64a22b28 [SPARK-34116][SS][TEST] Separate state store numKeys metric test and validate metrics after committing
### What changes were proposed in this pull request?

This patch proposes to pull the test of `numKeys` metric into a separate test in `StateStoreSuite`.

### Why are the changes needed?

Right now in `StateStoreSuite`, the tests of get/put/remove/commit are mixed with `numKeys` metric test. I found it is flaky when I was testing with other `StateStore` implementation.

Current test logic is tightly bound to the in-memory map behavior of `HDFSBackedStateStore`. For example, put can immediately show up in the `numKeys` metric.

But for a `StateStore` implementation relying on external storage, e.g. RocksDB, the metric might be updated once the data is actually committed. And `StateStoreSuite` should be a common test suite for all kinds of StateStore implementations.

Specifically, we also are able to check these metrics after state store is updated (committed). So I think we can refactor the test a little bit to make it easier to incorporate other `StateStore` externally.

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

No, dev only.

### How was this patch tested?

Unit test.

Closes #31183 from viirya/SPARK-34116.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-01-14 15:03:22 -08:00
..
catalyst [SPARK-33989][SQL] Strip auto-generated cast when using Cast.sql 2021-01-14 15:27:14 +00:00
core [SPARK-34116][SS][TEST] Separate state store numKeys metric test and validate metrics after committing 2021-01-14 15:03:22 -08:00
hive [SPARK-34068][CORE][SQL][MLLIB][GRAPHX] Remove redundant collection conversion 2021-01-13 18:07:02 -06:00
hive-thriftserver [SPARK-34068][CORE][SQL][MLLIB][GRAPHX] Remove redundant collection conversion 2021-01-13 18:07:02 -06:00
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-34022][DOCS][FOLLOW-UP] Fix typo in SQL built-in function docs 2021-01-06 09:28:22 -08:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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.