Spark Spark Streaming Graphx MLlib Machine learning Spark

Spark生态系统 Spark Streaming Graphx MLlib Machine learning Spark Mesos YARN Tachyon HDFS MPI Map.

二、Spark平台的相关技术（二）Spark程序运行模式-独立（Standlone)模式 zookeeper Master Slave Task Driver Task Your. Application Executor Slave Task Executor

Operator示例 RDD 1 Operation 1 2 3 partitions 4 5 6 7 RDD 2

$一个完整的实例：wordcount import org. apache. spark. _ import Spark. Context. _ object Word. Count {$

（三）应用 ✤技术架构和部署架构 Web Service Spark MVC 离线加层 Logback ��理� ��理� Mahout

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Spark生态系统 Spark Streaming Graphx MLlib Machine learning Spark Mesos YARN Tachyon HDFS MPI Map. Reduce Spark SQL

二、Spark平台的相关技术（二）Spark程序运行模式-独立（Standlone)模式 zookeeper Master Slave Task Driver Task Your. Application Executor Slave Task Executor Driver Your Application

Operator示例 RDD 1 Operation 1 2 3 partitions 4 5 6 7 RDD 2 Operation 2 3 4 MAP( + 1 ) 5 6 SAVEASTEXTFILE(“HD FS: //…”) 7 8 作用在RDD上的operation Storage System HDFS

$一个完整的实例：wordcount import org. apache. spark. _ import Spark. Context. _ object Word. Count {$

一个完整的实例：wordcount import org. apache. spark. _ import Spark. Context. _ object Word. Count { def main(args: Array[String]) { if (args. length != 3 ){ println("usage is org. test. Word. Count <master> <input> <output>") return } Master地址作业名称 val sc = new Spark. Context(args(0), "Word. Count", Spark安装目录 System. getenv("SPARK_HOME"), Seq(System. getenv("SPARK_TEST_JAR"))) val text. File = sc. text. File(args(1)) val result = text. File. flat. Map(line => line. split("\s+")) 输入数据所在目录，比如: hdfs: //host: port/input/data. map(word => (word, 1)). reduce. By. Key(_ + _) result. save. As. Text. File(args(2)) } } 数据输出目录，比如: hdfs: //host: port/output/data 依赖的jar包

（三）应用 ✤技术架构和部署架构 Web Service Spark MVC 离线加层 Logback ��理� ��理� Mahout Spark streaming Map/Reduce MLLib JDBC FTP HDFS 具 Sqlite Spark HDFS HBase 数据层访问层数据层