ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Shixiong Zhu 12411b5edf [SPARK-21732][SQL] Lazily init hive metastore client 
## What changes were proposed in this pull request?

This PR changes the codes to lazily init hive metastore client so that we can create SparkSession without talking to the hive metastore sever.

It's pretty helpful when you set a hive metastore server but it's down. You can still start the Spark shell to debug.

## How was this patch tested?

The new unit test.

Author: Shixiong Zhu <shixiong@databricks.com>

Closes #18944 from zsxwing/hive-lazy-init.
2017-08-14 23:46:52 -07:00
..
catalyst [SPARK-21724][SQL][DOC] Adds since information in the documentation of date functions 2017-08-14 23:44:25 -07:00
core [SPARK-21732][SQL] Lazily init hive metastore client 2017-08-14 23:46:52 -07:00
hive [SPARK-21721][SQL] Clear FileSystem deleteOnExit cache when paths are successfully removed 2017-08-14 22:29:15 -07:00
hive-thriftserver [SPARK-21732][SQL] Lazily init hive metastore client 2017-08-14 23:46:52 -07:00
create-docs.sh [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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.