SparkSQL使用之Thrift JDBC server

Thrift JDBC Server描述

Thrift JDBC Server使用的是HIVE0.12的HiveServer2实现。能够使用Spark或者hive0.12版本的beeline脚本与JDBC Server进行交互使用。Thrift JDBC Server默认监听端口是10000。

 

使用Thrift JDBC Server前需要注意：

1、将hive-site.xml配置文件拷贝到$SPARK_HOME/conf目录下；

2、需要在$SPARK_HOME/conf/spark-env.sh中的SPARK_CLASSPATH添加jdbc驱动的jar包

export SPARK_CLASSPATH=$SPARK_CLASSPATH:/home/hadoop/software/mysql-connector-java-5.1.27-bin.jar

 

Thrift JDBC Server命令使用帮助：

cd $SPARK_HOME/sbin
start-thriftserver.sh --help

Usage: ./sbin/start-thriftserver [options] [thrift server options]
Spark assembly has been built with Hive, including Datanucleus jars on classpath
Options:
  --master MASTER_URL         spark://host:port, mesos://host:port, yarn, or local.
  --deploy-mode DEPLOY_MODE   Whether to launch the driver program locally ("client") or
                              on one of the worker machines inside the cluster ("cluster")
                              (Default: client).
  --class CLASS_NAME          Your application's main class (for Java / Scala apps).
  --name NAME                 A name of your application.
  --jars JARS                 Comma-separated list of local jars to include on the driver
                              and executor classpaths.
  --py-files PY_FILES         Comma-separated list of .zip, .egg, or .py files to place
                              on the PYTHONPATH for Python apps.
  --files FILES               Comma-separated list of files to be placed in the working
                              directory of each executor.

  --conf PROP=VALUE           Arbitrary Spark configuration property.
  --properties-file FILE      Path to a file from which to load extra properties. If not
                              specified, this will look for conf/spark-defaults.conf.

  --driver-memory MEM         Memory for driver (e.g. 1000M, 2G) (Default: 512M).
  --driver-java-options       Extra Java options to pass to the driver.
  --driver-library-path       Extra library path entries to pass to the driver.
  --driver-class-path         Extra class path entries to pass to the driver. Note that
                              jars added with --jars are automatically included in the
                              classpath.

  --executor-memory MEM       Memory per executor (e.g. 1000M, 2G) (Default: 1G).

  --help, -h                  Show this help message and exit
  --verbose, -v               Print additional debug output

 Spark standalone with cluster deploy mode only:
  --driver-cores NUM          Cores for driver (Default: 1).
  --supervise                 If given, restarts the driver on failure.

 Spark standalone and Mesos only:
  --total-executor-cores NUM  Total cores for all executors.

 YARN-only:
  --executor-cores NUM        Number of cores per executor (Default: 1).
  --queue QUEUE_NAME          The YARN queue to submit to (Default: "default").
  --num-executors NUM         Number of executors to launch (Default: 2).
  --archives ARCHIVES         Comma separated list of archives to be extracted into the
                              working directory of each executor.

Thrift server options:
    --hiveconf <property=value>   Use value for given property

master的描述与Spark SQL CLI一致 

 

beeline命令使用帮助：

cd $SPARK_HOME/bin
beeline --help

Usage: java org.apache.hive.cli.beeline.BeeLine 
   -u <database url>               the JDBC URL to connect to
   -n <username>                   the username to connect as
   -p <password>                   the password to connect as
   -d <driver class>               the driver class to use
   -e <query>                      query that should be executed
   -f <file>                       script file that should be executed
   --color=[true/false]            control whether color is used for display
   --showHeader=[true/false]       show column names in query results
   --headerInterval=ROWS;          the interval between which heades are displayed
   --fastConnect=[true/false]      skip building table/column list for tab-completion
   --autoCommit=[true/false]       enable/disable automatic transaction commit
   --verbose=[true/false]          show verbose error messages and debug info
   --showWarnings=[true/false]     display connection warnings
   --showNestedErrs=[true/false]   display nested errors
   --numberFormat=[pattern]        format numbers using DecimalFormat pattern
   --force=[true/false]            continue running script even after errors
   --maxWidth=MAXWIDTH             the maximum width of the terminal
   --maxColumnWidth=MAXCOLWIDTH    the maximum width to use when displaying columns
   --silent=[true/false]           be more silent
   --autosave=[true/false]         automatically save preferences
   --outputformat=[table/vertical/csv/tsv]   format mode for result display
   --isolation=LEVEL               set the transaction isolation level
   --help                          display this message

 

Thrift JDBC Server/beeline启动

启动Thrift JDBC Server：默认端口是10000

cd $SPARK_HOME/sbin
start-thriftserver.sh

如何修改Thrift JDBC Server的默认监听端口号？借助于--hiveconf

start-thriftserver.sh  --hiveconf hive.server2.thrift.port=14000

HiveServer2 Clients 详情参见：https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients

 

启动beeline

cd $SPARK_HOME/bin
beeline -u jdbc:hive2://hadoop000:10000/default -n hadoop

 

sql脚本测试

SELECT track_time, url, session_id, referer, ip, end_user_id, city_id FROM page_views WHERE city_id = -1000 limit 10;
SELECT session_id, count(*) c FROM page_views group by session_id order by c desc limit 10;