「Spark」Spark SQL Thrift Server运行方式

Posted 2021-03-12 ilovezihan

Spark SQL可以使用JDBC/ODBC或命令行接口充当分布式查询引擎。这种模式，用户或者应用程序可以直接与Spark SQL交互，以运行SQL查询，无需编写任何代码。

Spark SQL提供两种方式来运行SQL：

• 通过运行Thrift Server
• 直接执行Spark SQL命令行

运行Thrift Server方式

1、先运行Hive metastore

nohup hive --service metastore &

2、在 hdfs-site.xml 中添加以下配置

<property>
       <name>fs.hdfs.impl.disable.cache</name>
       <value>true</value>
</property>

3、启动Thrift Server

[root@node1 sbin]# pwd
/export/servers/spark-2.2.0-bin-hadoop2.6/sbin

[root@node1 sbin]# ./start-thriftserver.sh --master local[*]
starting org.apache.spark.sql.hive.thriftserver.HiveThriftServer2, logging to /export/servers/spark-2.2.0-bin-hadoop2.6/logs/spark-root-org.apache.spark.sql.hive.thriftserver.HiveThriftServer2-1-node1.out

默认的端口是：10000

注意：启动 Thrift Server 的命令兼容spark-submit的所有命令

4、使用 beeline 连接 Thrift Server

[root@node1 bin]# ./beeline
Beeline version 1.2.1.spark2 by Apache Hive
beeline> !connect jdbc:hive2://node1:10000
Connecting to jdbc:hive2://node1:10000
Enter username for jdbc:hive2://node1:10000: root
Enter password for jdbc:hive2://node1:10000:
20/02/01 22:26:41 INFO jdbc.Utils: Supplied authorities: node1:10000
20/02/01 22:26:41 INFO jdbc.Utils: Resolved authority: node1:10000
20/02/01 22:26:41 INFO jdbc.HiveConnection: Will try to open client transport with JDBC Uri: jdbc:hive2://node1:10000
Connected to: Spark SQL (version 2.2.0)
Driver: Hive JDBC (version 1.2.1.spark2)
Transaction isolation: TRANSACTION_REPEATABLE_READ
0: jdbc:hive2://node1:10000> show databases;
+---------------+--+
| databaseName  |
+---------------+--+
| default       |
| demo          |
| job_analysis  |
| test          |
+---------------+--+
4 rows selected (0.629 seconds)