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Wenchen Fan 73857cdd87 [SPARK-34524][SQL] Simplify v2 partition commands resolution 
### What changes were proposed in this pull request?

This PR simplifies the resolution of v2 partition commands:
1. Add a common trait for v2 partition commands, so that we don't need to match them one by one in the rules.
2. Make partition spec an expression, so that it's easier to resolve them via tree node transformation.
3. Add `TruncatePartition` so that `TruncateTable` doesn't need to be a v2 partition command.
4. Simplify `CheckAnalysis` to only check if the table is partitioned. For partitioned tables, partition spec is always resolved, so we don't need to check it. The `SupportsAtomicPartitionManagement` check is also done in the runtime. Since Spark eagerly executes commands, exception in runtime will also be thrown at analysis time.

### Why are the changes needed?

code cleanup

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

no

### How was this patch tested?

existing tests

Closes #31637 from cloud-fan/simplify.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-02-26 11:44:42 +00:00
..
catalyst [SPARK-34524][SQL] Simplify v2 partition commands resolution 2021-02-26 11:44:42 +00:00
core [SPARK-34524][SQL] Simplify v2 partition commands resolution 2021-02-26 11:44:42 +00:00
hive [SPARK-34515][SQL] Fix NPE if InSet contains null value during getPartitionsByFilter 2021-02-24 21:32:19 +08:00
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.