ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Terry Kim b112e2bfa6 [SPARK-33714][SQL] Migrate ALTER VIEW ... SET/UNSET TBLPROPERTIES commands to use UnresolvedView to resolve the identifier 
### What changes were proposed in this pull request?

This PR adds `allowTemp` flag to `UnresolvedView` so that `Analyzer` can check whether to resolve temp views or not.

This PR also migrates `ALTER VIEW ... SET/UNSET TBLPROPERTIES` to use `UnresolvedView` to resolve the table/view identifier. This allows consistent resolution rules (temp view first, etc.) to be applied for both v1/v2 commands. More info about the consistent resolution rule proposal can be found in [JIRA](https://issues.apache.org/jira/browse/SPARK-29900) or [proposal doc](https://docs.google.com/document/d/1hvLjGA8y_W_hhilpngXVub1Ebv8RsMap986nENCFnrg/edit?usp=sharing).

### Why are the changes needed?

To use `UnresolvedView` for view resolution.

One benefit is that the exception message is better for `ALTER VIEW ... SET/UNSET TBLPROPERTIES`. Before, if a temp view is passed, you will just get `NoSuchTableException` with `Table or view 'tmpView' not found in database 'default'`. But with this PR, you will get more description exception message: `tmpView is a temp view. ALTER VIEW ... SET TBLPROPERTIES expects a permanent view`.

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

The exception message changes as describe above.

### How was this patch tested?

Updated existing tests.

Closes #30676 from imback82/alter_view_set_unset_properties.

Authored-by: Terry Kim <yuminkim@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-12-10 05:18:34 +00:00
..
catalyst [SPARK-33714][SQL] Migrate ALTER VIEW ... SET/UNSET TBLPROPERTIES commands to use UnresolvedView to resolve the identifier 2020-12-10 05:18:34 +00:00
core [SPARK-33714][SQL] Migrate ALTER VIEW ... SET/UNSET TBLPROPERTIES commands to use UnresolvedView to resolve the identifier 2020-12-10 05:18:34 +00:00
hive [SPARK-33714][SQL] Migrate ALTER VIEW ... SET/UNSET TBLPROPERTIES commands to use UnresolvedView to resolve the identifier 2020-12-10 05:18:34 +00:00
hive-thriftserver [SPARK-33655][SQL] Improve performance of processing FETCH_PRIOR 2020-12-09 18:35:24 +09:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +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.