本地启动spark-shell

本地启动spark-shell

由于spark-1.3作为一个里程碑式的发布, 加入众多的功能特性,所以,有必要好好的研究一把,spark-1.3需要scala-2.10.x的版本支持,而系统上默认的scala的版本为2.9,需要进行升级, 可以参考Ubuntu 安装 2.10.x版本的scala，见  . 配置好scala的环境后,下载spark的cdh版本, 点我下载.

下载好后,直接解压,然后在bin目录直接运行./spark-shell 即可：

日志如下：

www.bkjia.com@Hadoop01:~/spark-evn/spark-1.3.0-bin-cdh4/bin$ ./spark-shell
Spark assembly has been built with Hive, including Datanucleus jars on classpath
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
15/04/14 00:03:30 INFO SecurityManager: Changing view acls to: zhangchao3
15/04/14 00:03:30 INFO SecurityManager: Changing modify acls to: zhangchao3
15/04/14 00:03:30 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(zhangchao3); users with modify permissions: Set(zhangchao3)
15/04/14 00:03:30 INFO HttpServer: Starting HTTP Server
15/04/14 00:03:30 INFO Server: jetty-8.y.z-SNAPSHOT
15/04/14 00:03:30 INFO AbstractConnector: Started [email protected]:45918
15/04/14 00:03:30 INFO Utils: Successfully started service 'HTTP class server' on port 45918.
Welcome to
      ____              __
    / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
  /___/ .__/\_,_/_/ /_/\_\  version 1.3.0
      /_/

Using Scala version 2.10.4 (OpenJDK 64-Bit Server VM, Java 1.7.0_75)
Type in expressions to have them evaluated.
Type :help for more information.
15/04/14 00:03:33 WARN Utils: Your hostname, hadoop01 resolves to a loopback address: 127.0.1.1; using 172.18.147.71 instead (on interface em1)
15/04/14 00:03:33 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
15/04/14 00:03:33 INFO SparkContext: Running Spark version 1.3.0
15/04/14 00:03:33 INFO SecurityManager: Changing view acls to: zhangchao3
15/04/14 00:03:33 INFO SecurityManager: Changing modify acls to: zhangchao3
15/04/14 00:03:33 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(zhangchao3); users with modify permissions: Set(zhangchao3)
15/04/14 00:03:33 INFO Slf4jLogger: Slf4jLogger started
15/04/14 00:03:33 INFO Remoting: Starting remoting
15/04/14 00:03:33 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://[email protected]:51629]
15/04/14 00:03:33 INFO Utils: Successfully started service 'sparkDriver' on port 51629.
15/04/14 00:03:33 INFO SparkEnv: Registering MapOutputTracker
15/04/14 00:03:33 INFO SparkEnv: Registering BlockManagerMaster
15/04/14 00:03:33 INFO DiskBlockManager: Created local directory at /tmp/spark-d398c8f3-6345-41f9-a712-36cad4a45e67/blockmgr-255070a6-19a9-49a5-a117-e4e8733c250a
15/04/14 00:03:33 INFO MemoryStore: MemoryStore started with capacity 265.4 MB
15/04/14 00:03:33 INFO HttpFileServer: HTTP File server directory is /tmp/spark-296eb142-92fc-46e9-bea8-f6065aa8f49d/httpd-4d6e4295-dd96-48bc-84b8-c26815a9364f
15/04/14 00:03:33 INFO HttpServer: Starting HTTP Server
15/04/14 00:03:33 INFO Server: jetty-8.y.z-SNAPSHOT
15/04/14 00:03:33 INFO AbstractConnector: Started [email protected]:56529
15/04/14 00:03:33 INFO Utils: Successfully started service 'HTTP file server' on port 56529.
15/04/14 00:03:33 INFO SparkEnv: Registering OutputCommitCoordinator
15/04/14 00:03:33 INFO Server: jetty-8.y.z-SNAPSHOT
15/04/14 00:03:33 INFO AbstractConnector: Started [email protected]:4040
15/04/14 00:03:33 INFO Utils: Successfully started service 'SparkUI' on port 4040.
15/04/14 00:03:33 INFO SparkUI: Started SparkUI at http://172.18.147.71:4040
15/04/14 00:03:33 INFO Executor: Starting executor ID <driver> on host localhost
15/04/14 00:03:33 INFO Executor: Using REPL class URI: http://172.18.147.71:45918
15/04/14 00:03:33 INFO AkkaUtils: Connecting to HeartbeatReceiver: akka.tcp://[email protected]:51629/user/HeartbeatReceiver
15/04/14 00:03:33 INFO NettyBlockTransferService: Server created on 55429
15/04/14 00:03:33 INFO BlockManagerMaster: Trying to register BlockManager
15/04/14 00:03:33 INFO BlockManagerMasterActor: Registering block manager localhost:55429 with 265.4 MB RAM, BlockManagerId(<driver>, localhost, 55429)
15/04/14 00:03:33 INFO BlockManagerMaster: Registered BlockManager
15/04/14 00:03:34 INFO SparkILoop: Created spark context..
Spark context available as sc.
15/04/14 00:03:34 INFO SparkILoop: Created sql context (with Hive support)..
SQL context available as sqlContext.

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http://172.18.147.71:4040/jobs/ ，可以看到spark运行情况：

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Spark1.0.0部署指南

CentOS 6.2(64位)下安装Spark0.8.0详细记录

Spark简介及其在Ubuntu下的安装使用

安装Spark集群(在CentOS上)

Hadoop vs Spark性能对比

Spark安装与学习

Spark 并行计算模型

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Spark 的详细介绍：请点这里
Spark 的下载地址：请点这里

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