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Spark案例之WordCount

2021-10-15 22:00:01 其他

創建 Maven 專案

增加 Scala 插件

Spark 由 Scala 語言開發的，所以本課件接下來的開發所使用的語言也為 Scala ，咱們當前使用的 Spark 版本為 3.0.0 ，默認采用的 Scala 編譯版本為 2.12 ，所以后續開發時，我們依然采用這個版本，開發前請保證 IDEA 開發工具中含有 Scala 開發插件

增加依賴關系

修改 Maven 專案中的 POM 檔案，增加 Spark 框架的依賴關系，本次基于 Spark3.0 版
本，使用時請注意對應版本， 
    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.12</artifactId>
            <version>3.0.0</version>
        </dependency>
    </dependencies>

    <build>
    <plugins>
    <!-- 該插件用于將 Scala 代碼編譯成 class 檔案 -->
    <plugin>
    <groupId>net.alchim31.maven</groupId>
    <artifactId>scala-maven-plugin</artifactId>
    <version>3.2.2</version>
    <executions>
    <execution>
        <!-- 宣告系結到 maven 的 compile 階段 -->
        <goals>
            <goal>testCompile</goal>
        </goals>
    </execution>
    </executions>
    </plugin>
        <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-assembly-plugin</artifactId>
            <version>2.2.1</version>
            <configuration>
                <descriptorRefs>
                    <descriptorRef>jar-with-dependencies</descriptorRef>
                </descriptorRefs>
            </configuration>
            <executions>
                <execution>
                    <id>make-assembly</id>
                    <phase>package</phase>
                    <goals>
                        <goal>single</goal>
                    </goals>
                </execution>
            </executions>
        </plugin>
    </plugins>
    </build>

WordCount代碼

為了能直觀地感受 Spark 框架的效果，接下來我們實作一個大資料學科中最常見的教學
案例 WordCount 
package com.muzili.applications

import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext}

object wordcount {
  def main(args: Array[String]): Unit = {

    // 創建 Spark 運行配置物件
    val sparkConf = new SparkConf().setMaster("local[*]").setAppName("WordCount")
    // 創建 Spark 背景關系環境物件（連接物件）
    val sc : SparkContext = new SparkContext(sparkConf)
    // 讀取檔案資料
    val fileRDD: RDD[String] = sc.textFile("C:\\Users\\muzili\\Desktop/word.txt")
    // 將檔案中的資料進行分詞
    val wordRDD: RDD[String] = fileRDD.flatMap( _.split(" ") )
    // 轉換資料結構 word => (word, 1)
    val word2OneRDD: RDD[(String, Int)] = wordRDD.map((_,1))
    // 將轉換結構后的資料按照相同的單詞進行分組聚合
    val word2CountRDD: RDD[(String, Int)] = word2OneRDD.reduceByKey(_+_)
    // 將資料聚合結果采集到記憶體中
    val word2Count: Array[(String, Int)] = word2CountRDD.collect()
    // 列印結果
    word2Count.foreach(println)
    //關閉 Spark 連接
    sc.stop()

  }

}
并在桌面創建檔案word.txt: 
hello scala
hello spark
hello hadoop
hello flink
執行程序中，會產生大量的執行日志，日志見下文列印日志一，如果為了能夠更好的查看程式的執行結果，可以在專案的 resources 目錄中創建 log4j.properties 檔案，并添加日志配置資訊： 
log4j.rootCategory=ERROR, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd 
HH:mm:ss} %p %c{1}: %m%n
# Set the default spark-shell log level to ERROR. When running the spark-shell,
the
# log level for this class is used to overwrite the root logger's log level, so
that
# the user can have different defaults for the shell and regular Spark apps.
log4j.logger.org.apache.spark.repl.Main=ERROR
# Settings to quiet third party logs that are too verbose
log4j.logger.org.spark_project.jetty=ERROR
log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=ERROR
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=ERROR
log4j.logger.org.apache.parquet=ERROR
log4j.logger.parquet=ERROR
# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent
UDFs in SparkSQL with Hive support
log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR

列印日志一：

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com.sibat.applications.wordcount
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
21/10/13 17:44:17 INFO SparkContext: Running Spark version 2.4.4
21/10/13 17:44:17 INFO SparkContext: Submitted application: WordCount
21/10/13 17:44:17 INFO SecurityManager: Changing view acls to: muzili
21/10/13 17:44:17 INFO SecurityManager: Changing modify acls to: muzili
21/10/13 17:44:17 INFO SecurityManager: Changing view acls groups to: 
21/10/13 17:44:17 INFO SecurityManager: Changing modify acls groups to: 
21/10/13 17:44:17 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(muzili); groups with view permissions: Set(); users  with modify permissions: Set(muzili); groups with modify permissions: Set()
21/10/13 17:44:18 INFO Utils: Successfully started service 'sparkDriver' on port 51527.
21/10/13 17:44:19 INFO SparkEnv: Registering MapOutputTracker
21/10/13 17:44:19 INFO SparkEnv: Registering BlockManagerMaster
21/10/13 17:44:19 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
21/10/13 17:44:19 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
21/10/13 17:44:19 INFO DiskBlockManager: Created local directory at C:\Users\muzili\AppData\Local\Temp\blockmgr-a6f2f260-7970-4a16-82b5-93d659f2c49f
21/10/13 17:44:19 INFO MemoryStore: MemoryStore started with capacity 1975.8 MB
21/10/13 17:44:19 INFO SparkEnv: Registering OutputCommitCoordinator
21/10/13 17:44:19 INFO Utils: Successfully started service 'SparkUI' on port 4040.
21/10/13 17:44:19 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://LAPTOP-R0NFMTAH:4040
21/10/13 17:44:19 INFO Executor: Starting executor ID driver on host localhost
21/10/13 17:44:19 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 51568.
21/10/13 17:44:19 INFO NettyBlockTransferService: Server created on LAPTOP-R0NFMTAH:51568
21/10/13 17:44:19 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
21/10/13 17:44:19 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, LAPTOP-R0NFMTAH, 51568, None)
21/10/13 17:44:19 INFO BlockManagerMasterEndpoint: Registering block manager LAPTOP-R0NFMTAH:51568 with 1975.8 MB RAM, BlockManagerId(driver, LAPTOP-R0NFMTAH, 51568, None)
21/10/13 17:44:19 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, LAPTOP-R0NFMTAH, 51568, None)
21/10/13 17:44:19 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, LAPTOP-R0NFMTAH, 51568, None)
21/10/13 17:44:19 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 214.6 KB, free 1975.6 MB)
21/10/13 17:44:19 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 20.4 KB, free 1975.6 MB)
21/10/13 17:44:19 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on LAPTOP-R0NFMTAH:51568 (size: 20.4 KB, free: 1975.8 MB)
21/10/13 17:44:19 INFO SparkContext: Created broadcast 0 from textFile at wordcount.scala:14
21/10/13 17:44:19 INFO FileInputFormat: Total input paths to process : 1
21/10/13 17:44:19 INFO SparkContext: Starting job: collect at wordcount.scala:22
21/10/13 17:44:20 INFO DAGScheduler: Registering RDD 3 (map at wordcount.scala:18)
21/10/13 17:44:20 INFO DAGScheduler: Got job 0 (collect at wordcount.scala:22) with 2 output partitions
21/10/13 17:44:20 INFO DAGScheduler: Final stage: ResultStage 1 (collect at wordcount.scala:22)
21/10/13 17:44:20 INFO DAGScheduler: Parents of final stage: List(ShuffleMapStage 0)
21/10/13 17:44:20 INFO DAGScheduler: Missing parents: List(ShuffleMapStage 0)
21/10/13 17:44:20 INFO DAGScheduler: Submitting ShuffleMapStage 0 (MapPartitionsRDD[3] at map at wordcount.scala:18), which has no missing parents
21/10/13 17:44:20 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 5.0 KB, free 1975.6 MB)
21/10/13 17:44:20 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2.9 KB, free 1975.6 MB)
21/10/13 17:44:20 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on LAPTOP-R0NFMTAH:51568 (size: 2.9 KB, free: 1975.8 MB)
21/10/13 17:44:20 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1161
21/10/13 17:44:20 INFO DAGScheduler: Submitting 2 missing tasks from ShuffleMapStage 0 (MapPartitionsRDD[3] at map at wordcount.scala:18) (first 15 tasks are for partitions Vector(0, 1))
21/10/13 17:44:20 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
21/10/13 17:44:20 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, executor driver, partition 0, PROCESS_LOCAL, 7887 bytes)
21/10/13 17:44:20 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, localhost, executor driver, partition 1, PROCESS_LOCAL, 7887 bytes)
21/10/13 17:44:20 INFO Executor: Running task 1.0 in stage 0.0 (TID 1)
21/10/13 17:44:20 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
21/10/13 17:44:20 INFO HadoopRDD: Input split: file:/C:/Users/muzili/Desktop/word.txt:0+25
21/10/13 17:44:20 INFO HadoopRDD: Input split: file:/C:/Users/muzili/Desktop/word.txt:25+26
21/10/13 17:44:20 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 1157 bytes result sent to driver
21/10/13 17:44:20 INFO Executor: Finished task 1.0 in stage 0.0 (TID 1). 1157 bytes result sent to driver
21/10/13 17:44:20 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 165 ms on localhost (executor driver) (1/2)
21/10/13 17:44:20 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 181 ms on localhost (executor driver) (2/2)
21/10/13 17:44:20 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
21/10/13 17:44:20 INFO DAGScheduler: ShuffleMapStage 0 (map at wordcount.scala:18) finished in 0.256 s
21/10/13 17:44:20 INFO DAGScheduler: looking for newly runnable stages
21/10/13 17:44:20 INFO DAGScheduler: running: Set()
21/10/13 17:44:20 INFO DAGScheduler: waiting: Set(ResultStage 1)
21/10/13 17:44:20 INFO DAGScheduler: failed: Set()
21/10/13 17:44:20 INFO DAGScheduler: Submitting ResultStage 1 (ShuffledRDD[4] at reduceByKey at wordcount.scala:20), which has no missing parents
21/10/13 17:44:20 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 3.2 KB, free 1975.6 MB)
21/10/13 17:44:20 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 2029.0 B, free 1975.6 MB)
21/10/13 17:44:20 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on LAPTOP-R0NFMTAH:51568 (size: 2029.0 B, free: 1975.8 MB)
21/10/13 17:44:20 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1161
21/10/13 17:44:20 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 1 (ShuffledRDD[4] at reduceByKey at wordcount.scala:20) (first 15 tasks are for partitions Vector(0, 1))
21/10/13 17:44:20 INFO TaskSchedulerImpl: Adding task set 1.0 with 2 tasks
21/10/13 17:44:20 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 2, localhost, executor driver, partition 0, ANY, 7662 bytes)
21/10/13 17:44:20 INFO TaskSetManager: Starting task 1.0 in stage 1.0 (TID 3, localhost, executor driver, partition 1, ANY, 7662 bytes)
21/10/13 17:44:20 INFO Executor: Running task 1.0 in stage 1.0 (TID 3)
21/10/13 17:44:20 INFO Executor: Running task 0.0 in stage 1.0 (TID 2)
21/10/13 17:44:20 INFO ShuffleBlockFetcherIterator: Getting 2 non-empty blocks including 2 local blocks and 0 remote blocks
21/10/13 17:44:20 INFO ShuffleBlockFetcherIterator: Getting 2 non-empty blocks including 2 local blocks and 0 remote blocks
21/10/13 17:44:20 INFO ShuffleBlockFetcherIterator: Started 0 remote fetches in 8 ms
21/10/13 17:44:20 INFO ShuffleBlockFetcherIterator: Started 0 remote fetches in 8 ms
21/10/13 17:44:20 INFO Executor: Finished task 0.0 in stage 1.0 (TID 2). 1284 bytes result sent to driver
21/10/13 17:44:20 INFO Executor: Finished task 1.0 in stage 1.0 (TID 3). 1261 bytes result sent to driver
21/10/13 17:44:20 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 2) in 60 ms on localhost (executor driver) (1/2)
21/10/13 17:44:20 INFO TaskSetManager: Finished task 1.0 in stage 1.0 (TID 3) in 58 ms on localhost (executor driver) (2/2)
21/10/13 17:44:20 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool 
21/10/13 17:44:20 INFO DAGScheduler: ResultStage 1 (collect at wordcount.scala:22) finished in 0.070 s
21/10/13 17:44:20 INFO DAGScheduler: Job 0 finished: collect at wordcount.scala:22, took 0.561218 s
21/10/13 17:44:20 INFO SparkUI: Stopped Spark web UI at http://LAPTOP-R0NFMTAH:4040
(scala,1)
(flink,1)
(hello,4)
(spark,1)
(hadoop,1)
21/10/13 17:44:20 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
21/10/13 17:44:20 INFO MemoryStore: MemoryStore cleared
21/10/13 17:44:20 INFO BlockManager: BlockManager stopped
21/10/13 17:44:20 INFO BlockManagerMaster: BlockManagerMaster stopped
21/10/13 17:44:20 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
21/10/13 17:44:20 INFO SparkContext: Successfully stopped SparkContext
21/10/13 17:44:20 INFO ShutdownHookManager: Shutdown hook called
21/10/13 17:44:20 INFO ShutdownHookManager: Deleting directory C:\Users\muzili\AppData\Local\Temp\spark-74be267d-556a-40a4-9253-55fc0a910290

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