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.
Kylin Spark Thriftserver Project, implement Thriftserver HA with zookeeper
该项目改进：
1、ThriftServer HA
2、client JDBC使用zookeeper连接串
3、不同用户提交的sql跑在自己的队列
目前已经在以下版本中测试发布：
Java version = 1.8.0_60
Scala version = 2.11.8
Spark version = 2.1.1
Hive version = 1.2.1
Hadoop version = 2.7.3