Alex 的 Hadoop 菜鸟教程: 第17课 更快速的MapReduce

[root@host1 impala]# spark-shell2015-02-10 09:02:07,059 INFO [main] spark.SecurityManager (Logging.scala:logInfo(59)) – Changing view acls to: root2015-02-10 09:02:07,069 INFO [main] spark.SecurityManager (Logging.scala:logInfo(59)) – Changing modify acls to: root2015-02-10 09:02:07,070 INFO [main] spark.SecurityManager (Logging.scala:logInfo(59)) – SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)2015-02-10 09:02:07,072 INFO [main] spark.HttpServer (Logging.scala:logInfo(59)) – Starting HTTP Server2015-02-10 09:02:07,217 INFO [main] server.Server (Server.java:doStart(272)) – jetty-8.y.z-SNAPSHOT2015-02-10 09:02:07,350 INFO [main] server.AbstractConnector (AbstractConnector.java:doStart(338)) – Started SocketConnector@0.0.0.0:590582015-02-10 09:02:07,352 INFO [main] util.Utils (Logging.scala:logInfo(59)) – Successfully started service ‘HTTP class server‘ on port 59058.Welcome to______/ __/__ ___ _____/ /___\ \/ _ \/ _ `/ __/ ‘_/ /___/ .__/\_,_/_/ /_/\_\ version 1.2.0/_/Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_25)…2015-02-10 09:02:21,572 INFO [main] storage.BlockManagerMaster (Logging.scala:logInfo(59)) – Registered BlockManager2015-02-10 09:02:22,472 INFO [main] scheduler.EventLoggingListener (Logging.scala:logInfo(59)) – Logging events to file:/user/spark/applicationHistory/local-14235301409862015-02-10 09:02:22,672 INFO [main] repl.SparkILoop (Logging.scala:logInfo(59)) – Created spark context..Spark context available as sc.scala> 我们来开始玩一下Spark。还是做之前用YARN做的wordcount任务,看看Spark如何完成这项任务。

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Alex 的 Hadoop 菜鸟教程: 第17课 更快速的MapReduce

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