cc852d4eec
### What changes were proposed in this pull request? Hive 2.3 will set a new UDFClassLoader to hiveConf.classLoader when initializing SessionState since HIVE-11878, and 1. ADDJarCommand will add jars to clientLoader.classLoader. 2. --jar passed jar will be added to clientLoader.classLoader 3. jar passed by hive conf `hive.aux.jars` [SPARK-28954](https://github.com/apache/spark/pull/25653) [SPARK-28840](https://github.com/apache/spark/pull/25542) will be added to clientLoader.classLoader too For these reason we cannot load the jars added by ADDJarCommand because of class loader got changed. We reset it to clientLoader.ClassLoader here. ### Why are the changes needed? support for jdk11 ### Does this PR introduce any user-facing change? NO ### How was this patch tested? UT ``` export JAVA_HOME=/usr/lib/jdk-11.0.3 export PATH=$JAVA_HOME/bin:$PATH build/sbt -Phive-thriftserver -Phadoop-3.2 hive/test-only *HiveSparkSubmitSuite -- -z "SPARK-8368: includes jars passed in through --jars" hive-thriftserver/test-only *HiveThriftBinaryServerSuite -- -z "test add jar" ``` Closes #25775 from AngersZhuuuu/SPARK-29015-STS-JDK11. Authored-by: angerszhu <angers.zhu@gmail.com> Signed-off-by: Sean Owen <sean.owen@databricks.com> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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
.