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Chao Sun 1a6708918b [SPARK-34947][SQL] Streaming write to a V2 table should invalidate its associated cache 
### What changes were proposed in this pull request?

Populate table catalog and identifier from `DataStreamWriter` to `WriteToMicroBatchDataSource` so that we can invalidate cache for tables that are updated by a streaming write.

This is somewhat related [SPARK-27484](https://issues.apache.org/jira/browse/SPARK-27484) and [SPARK-34183](https://issues.apache.org/jira/browse/SPARK-34183) (#31700), as ideally we may want to replace `WriteToMicroBatchDataSource` and `WriteToDataSourceV2` with logical write nodes and feed them to analyzer. That will potentially change the code path involved in this PR.

### Why are the changes needed?

Currently `WriteToDataSourceV2` doesn't have cache invalidation logic, and therefore, when the target table for a micro batch streaming job is cached, the cache entry won't be removed when the table is updated.

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

Yes now when a DSv2 table which supports streaming write is updated by a streaming job, its cache will also be invalidated.

### How was this patch tested?

Added a new UT.

Closes #32039 from sunchao/streaming-cache.

Authored-by: Chao Sun <sunchao@apple.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-04-13 13:31:09 +00:00
..
catalyst [SPARK-34947][SQL] Streaming write to a V2 table should invalidate its associated cache 2021-04-13 13:31:09 +00:00
core [SPARK-34947][SQL] Streaming write to a V2 table should invalidate its associated cache 2021-04-13 13:31:09 +00:00
hive [SPARK-34989] Improve the performance of mapChildren and withNewChildren methods 2021-04-09 15:06:26 +02:00
hive-thriftserver [MINOR][TESTS] Enhance the test instruction of ThriftServerQueryTestSuite 2021-04-13 16:49:20 +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-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

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.