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Max Gekk 04c3125dcf [SPARK-34360][SQL] Support truncation of v2 tables 
### What changes were proposed in this pull request?
1. Add new interface `TruncatableTable` which represents tables that allow atomic truncation.
2. Implement new method in `InMemoryTable` and in `InMemoryPartitionTable`.

### Why are the changes needed?
To support `TRUNCATE TABLE` for v2 tables.

### Does this PR introduce _any_ user-facing change?
Should not.

### How was this patch tested?
Added new tests to `TableCatalogSuite` that check truncation of non-partitioned and partitioned tables:
```
$ build/sbt "test:testOnly *TableCatalogSuite"
```

Closes #31475 from MaxGekk/dsv2-truncate-table.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2021-02-21 17:50:38 +09:00
..
catalyst [SPARK-34360][SQL] Support truncation of v2 tables 2021-02-21 17:50:38 +09:00
core [SPARK-34481][SQL] Refactor dataframe reader/writer optionsWithPath logic 2021-02-20 17:57:43 -08:00
hive [SPARK-34451][SQL] Add alternatives for datetime rebasing SQL configs and deprecate legacy configs 2021-02-17 14:04:47 +00:00
hive-thriftserver [SPARK-34373][SQL] HiveThriftServer2 startWithContext may hang with a race issue 2021-02-21 17:37:12 +09:00
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

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.