ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Kent Yao f45ae7f2c5 [SPARK-31038][SQL] Add checkValue for spark.sql.session.timeZone 
### What changes were proposed in this pull request?

The `spark.sql.session.timeZone` config can accept any string value including invalid time zone ids, then it will fail other queries that rely on the time zone. We should do the value checking in the set phase and fail fast if the zone value is invalid.

### Why are the changes needed?

improve configuration
### Does this PR introduce any user-facing change?

yes, will fail fast if the value is a wrong timezone id
### How was this patch tested?

add ut

Closes #27792 from yaooqinn/SPARK-31038.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-03-05 19:38:20 +08:00
..
catalyst [SPARK-31038][SQL] Add checkValue for spark.sql.session.timeZone 2020-03-05 19:38:20 +08:00
core [SPARK-31038][SQL] Add checkValue for spark.sql.session.timeZone 2020-03-05 19:38:20 +08:00
hive [SPARK-31024][SQL] Allow specifying session catalog name spark_catalog in qualified column names for v1 tables 2020-03-05 18:33:59 +08:00
hive-thriftserver [SPARK-30049][SQL] SQL fails to parse when comment contains an unmatched quote character 2020-03-03 09:55:15 -06:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
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.