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angerszhu a1629b4a57 [SPARK-32852][SQL] spark.sql.hive.metastore.jars support HDFS location 
### What changes were proposed in this pull request?
Support `spark.sql.hive.metastore.jars` use HDFS location.

When user need to use path to set hive metastore jars, you should set
`spark.sql.hive.metasstore.jars=path` and set real path in `spark.sql.hive.metastore.jars.path`
since we use `File.pathSeperator` to split path, but `FIle.pathSeparator` is `:` in unix, it will split hdfs location `hdfs://nameservice/xx`. So add new config `spark.sql.hive.metastore.jars.path` to set comma separated paths.
To keep both two way supported

### Why are the changes needed?
All spark app can fetch internal version hive jars in HDFS location, not need distribute to all node.

### Does this PR introduce _any_ user-facing change?
User can use HDFS location to store hive metastore jars

### How was this patch tested?
Manuel tested.

Closes #29881 from AngersZhuuuu/SPARK-32852.

Authored-by: angerszhu <angers.zhu@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-10-22 13:53:01 +00:00
..
catalyst [SPARK-26533][SQL] Support query auto timeout cancel on thriftserver 2020-10-22 17:23:10 +09:00
core [SPARK-33095][SQL] Support ALTER TABLE in JDBC v2 Table Catalog: add, update type and nullability of columns (MySQL dialect) 2020-10-22 13:51:42 +00:00
hive [SPARK-32852][SQL] spark.sql.hive.metastore.jars support HDFS location 2020-10-22 13:53:01 +00:00
hive-thriftserver [SPARK-26533][SQL] Support query auto timeout cancel on thriftserver 2020-10-22 17:23:10 +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.