• Spark记录-SparkSQL远程操作MySQL和ORACLE

    1.项目引入mysql和oracle驱动

    2.将mysql和oracle驱动上传到hdfs

    3.远程调试源代码如下：

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    import org.apache.spark.sql.SQLContext
    import org.apache.spark.{SparkConf, SparkContext}
    object jdbc {
      def main(args: Array[String]): Unit = {
        System.setProperty("hadoop.home.dir", "D:\hadoop") //加载hadoop组件
        val conf = new SparkConf().setAppName("mysql").setMaster("spark://192.168.66.66:7077")
          .set("spark.executor.memory", "1g")
          .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
          //.setJars(Seq("D:\workspace\scala\out\scala.jar"))//加载远程spark
          .setJars(Array("hdfs://192.168.66.66:9000/spark-jars/ojdbc14-10.2.0.1.0.jar",
         "hdfs://192.168.66.66:9000/spark-jars/mysql-connector-java-5.1.39.jar"))
        val sc = new SparkContext(conf)
        val sqlContext = new SQLContext(sc)
        //操作MySQL
        val mysql = sqlContext.read.format("jdbc").option("url","jdbc:mysql://192.168.66.66:3306/test").
          option("dbtable","student").option("driver","com.mysql.jdbc.Driver").
          option("user","root").option("password","1").load()
        mysql.show()
        val mysql2= sqlContext.read.format("jdbc").options(
          Map(
           "driver" -> "com.mysql.jdbc.Driver",
            "url" -> "jdbc:mysql://192.168.66.66:3306",
            "dbtable" -> "test.student",
           "user" -> "root",
            "password" -> "1",
            "fetchsize" -> "3")).load()
        mysql2.show
        mysql.registerTempTable("student")
        mysql.sqlContext.sql("select * from student").collect().foreach(println)
        //操作ORACLE
        val oracle= sqlContext.read.format("jdbc").options(
          Map(
            "driver" -> "oracle.jdbc.driver.OracleDriver",
            "url" -> "jdbc:oracle:thin:@10.2.1.169:1521:BIT",
            "dbtable" -> "tab_lg",
            "user" -> "lxb",
            "password" -> "lxb123",
            "fetchsize" -> "3")).load()
        //oracle.show
        oracle.registerTempTable("tab_lg")
        oracle.sqlContext.sql("select * from tab_lg limit 10").collect().foreach(println)
      }
    }
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    Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
    SLF4J: Class path contains multiple SLF4J bindings.
    SLF4J: Found binding in [jar:file:/C:/Users/xinfang/.m2/repository/org/slf4j/slf4j-log4j12/1.7.22/slf4j-log4j12-1.7.22.jar!/org/slf4j/impl/StaticLoggerBinder.class]
    SLF4J: Found binding in [jar:file:/C:/Users/xinfang/.m2/repository/org/apache/logging/log4j/log4j-slf4j-impl/2.4.1/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
    SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
    SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
    17/12/11 16:03:49 INFO SparkContext: Running Spark version 1.6.3
    17/12/11 16:03:51 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    17/12/11 16:03:51 INFO SecurityManager: Changing view acls to: xinfang
    17/12/11 16:03:51 INFO SecurityManager: Changing modify acls to: xinfang
    17/12/11 16:03:51 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(xinfang); users with modify permissions: Set(xinfang)
    17/12/11 16:03:52 INFO Utils: Successfully started service 'sparkDriver' on port 55112.
    17/12/11 16:03:53 INFO Slf4jLogger: Slf4jLogger started
    17/12/11 16:03:53 INFO Remoting: Starting remoting
    17/12/11 16:03:53 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@172.20.107.151:55125]
    17/12/11 16:03:53 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 55125.
    17/12/11 16:03:53 INFO SparkEnv: Registering MapOutputTracker
    17/12/11 16:03:53 INFO SparkEnv: Registering BlockManagerMaster
    17/12/11 16:03:53 INFO DiskBlockManager: Created local directory at C:UsersxinfangAppDataLocalTemplockmgr-7ffc898d-c1fc-42e3-bcd6-72c47e1564cd
    17/12/11 16:03:53 INFO MemoryStore: MemoryStore started with capacity 1122.0 MB
    17/12/11 16:03:54 INFO SparkEnv: Registering OutputCommitCoordinator
    17/12/11 16:03:54 INFO Utils: Successfully started service 'SparkUI' on port 4040.
    17/12/11 16:03:54 INFO SparkUI: Started SparkUI at http://172.20.107.151:4040
    17/12/11 16:03:54 INFO SparkContext: Added JAR hdfs://192.168.66.66:9000/spark-jars/ojdbc14-10.2.0.1.0.jar at hdfs://192.168.66.66:9000/spark-jars/ojdbc14-10.2.0.1.0.jar with timestamp 1512979434526
    17/12/11 16:03:54 INFO SparkContext: Added JAR hdfs://192.168.66.66:9000/spark-jars/mysql-connector-java-5.1.39.jar at hdfs://192.168.66.66:9000/spark-jars/mysql-connector-java-5.1.39.jar with timestamp 1512979434527
    17/12/11 16:03:54 INFO AppClient$ClientEndpoint: Connecting to master spark://192.168.66.66:7077...
    17/12/11 16:04:04 INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app-20171211160233-0013
    17/12/11 16:04:04 INFO AppClient$ClientEndpoint: Executor added: app-20171211160233-0013/0 on worker-20171210231635-192.168.66.66-7078 (192.168.66.66:7078) with 2 cores
    17/12/11 16:04:04 INFO SparkDeploySchedulerBackend: Granted executor ID app-20171211160233-0013/0 on hostPort 192.168.66.66:7078 with 2 cores, 1024.0 MB RAM
    17/12/11 16:04:04 INFO AppClient$ClientEndpoint: Executor updated: app-20171211160233-0013/0 is now RUNNING
    17/12/11 16:04:04 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 55147.
    17/12/11 16:04:04 INFO NettyBlockTransferService: Server created on 55147
    17/12/11 16:04:04 INFO BlockManagerMaster: Trying to register BlockManager
    17/12/11 16:04:04 INFO BlockManagerMasterEndpoint: Registering block manager 172.20.107.151:55147 with 1122.0 MB RAM, BlockManagerId(driver, 172.20.107.151, 55147)
    17/12/11 16:04:04 INFO BlockManagerMaster: Registered BlockManager
    17/12/11 16:04:04 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
    17/12/11 16:04:08 INFO SparkDeploySchedulerBackend: Registered executor NettyRpcEndpointRef(null) (xinfang:55156) with ID 0
    17/12/11 16:04:08 INFO BlockManagerMasterEndpoint: Registering block manager xinfang:18681 with 511.1 MB RAM, BlockManagerId(0, xinfang, 18681)
    17/12/11 16:04:08 INFO SparkContext: Starting job: show at jdbc.scala:18
    17/12/11 16:04:08 INFO DAGScheduler: Got job 0 (show at jdbc.scala:18) with 1 output partitions
    17/12/11 16:04:08 INFO DAGScheduler: Final stage: ResultStage 0 (show at jdbc.scala:18)
    17/12/11 16:04:08 INFO DAGScheduler: Parents of final stage: List()
    17/12/11 16:04:08 INFO DAGScheduler: Missing parents: List()
    17/12/11 16:04:08 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at show at jdbc.scala:18), which has no missing parents
    17/12/11 16:04:09 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 4.9 KB, free 1122.0 MB)
    17/12/11 16:04:09 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2.4 KB, free 1122.0 MB)
    17/12/11 16:04:09 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 172.20.107.151:55147 (size: 2.4 KB, free: 1122.0 MB)
    17/12/11 16:04:09 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
    17/12/11 16:04:09 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at show at jdbc.scala:18)
    17/12/11 16:04:09 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
    17/12/11 16:04:09 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, xinfang, partition 0,PROCESS_LOCAL, 2069 bytes)
    17/12/11 16:04:14 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on xinfang:18681 (size: 2.4 KB, free: 511.1 MB)
    17/12/11 16:04:22 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 13334 ms on xinfang (1/1)
    17/12/11 16:04:22 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
    17/12/11 16:04:22 INFO DAGScheduler: ResultStage 0 (show at jdbc.scala:18) finished in 13.369 s
    17/12/11 16:04:23 INFO DAGScheduler: Job 0 finished: show at jdbc.scala:18, took 14.822540 s
    +---+----+---+---+
    | id|name|age|sex|
    +---+----+---+---+
    |  1|  信方| 26|  男|
    |  2|  瑶瑶| 22|  女|
    +---+----+---+---+
     
    17/12/11 16:04:23 INFO SparkContext: Starting job: show at jdbc.scala:27
    17/12/11 16:04:23 INFO DAGScheduler: Got job 1 (show at jdbc.scala:27) with 1 output partitions
    17/12/11 16:04:23 INFO DAGScheduler: Final stage: ResultStage 1 (show at jdbc.scala:27)
    17/12/11 16:04:23 INFO DAGScheduler: Parents of final stage: List()
    17/12/11 16:04:23 INFO DAGScheduler: Missing parents: List()
    17/12/11 16:04:23 INFO DAGScheduler: Submitting ResultStage 1 (MapPartitionsRDD[3] at show at jdbc.scala:27), which has no missing parents
    17/12/11 16:04:23 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 4.9 KB, free 1122.0 MB)
    17/12/11 16:04:23 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2.4 KB, free 1122.0 MB)
    17/12/11 16:04:23 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 172.20.107.151:55147 (size: 2.4 KB, free: 1122.0 MB)
    17/12/11 16:04:23 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1006
    17/12/11 16:04:23 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (MapPartitionsRDD[3] at show at jdbc.scala:27)
    17/12/11 16:04:23 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks
    17/12/11 16:04:23 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, xinfang, partition 0,PROCESS_LOCAL, 2069 bytes)
    17/12/11 16:04:24 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on xinfang:18681 (size: 2.4 KB, free: 511.1 MB)
    17/12/11 16:04:24 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 425 ms on xinfang (1/1)
    17/12/11 16:04:24 INFO DAGScheduler: ResultStage 1 (show at jdbc.scala:27) finished in 0.426 s
    17/12/11 16:04:24 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
    17/12/11 16:04:24 INFO DAGScheduler: Job 1 finished: show at jdbc.scala:27, took 0.485020 s
    +---+----+---+---+
    | id|name|age|sex|
    +---+----+---+---+
    |  1|  信方| 26|  男|
    |  2|  瑶瑶| 22|  女|
    +---+----+---+---+
     
    17/12/11 16:04:25 INFO SparkContext: Starting job: collect at jdbc.scala:29
    17/12/11 16:04:25 INFO DAGScheduler: Got job 2 (collect at jdbc.scala:29) with 1 output partitions
    17/12/11 16:04:25 INFO DAGScheduler: Final stage: ResultStage 2 (collect at jdbc.scala:29)
    17/12/11 16:04:25 INFO DAGScheduler: Parents of final stage: List()
    17/12/11 16:04:25 INFO DAGScheduler: Missing parents: List()
    17/12/11 16:04:25 INFO DAGScheduler: Submitting ResultStage 2 (MapPartitionsRDD[5] at collect at jdbc.scala:29), which has no missing parents
    17/12/11 16:04:25 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 5.0 KB, free 1122.0 MB)
    17/12/11 16:04:25 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 2.4 KB, free 1122.0 MB)
    17/12/11 16:04:25 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 172.20.107.151:55147 (size: 2.4 KB, free: 1122.0 MB)
    17/12/11 16:04:25 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1006
    17/12/11 16:04:25 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (MapPartitionsRDD[5] at collect at jdbc.scala:29)
    17/12/11 16:04:25 INFO TaskSchedulerImpl: Adding task set 2.0 with 1 tasks
    17/12/11 16:04:25 INFO TaskSetManager: Starting task 0.0 in stage 2.0 (TID 2, xinfang, partition 0,PROCESS_LOCAL, 2069 bytes)
    17/12/11 16:04:25 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on xinfang:18681 (size: 2.4 KB, free: 511.1 MB)
    17/12/11 16:04:25 INFO TaskSetManager: Finished task 0.0 in stage 2.0 (TID 2) in 287 ms on xinfang (1/1)
    17/12/11 16:04:25 INFO TaskSchedulerImpl: Removed TaskSet 2.0, whose tasks have all completed, from pool
    17/12/11 16:04:25 INFO DAGScheduler: ResultStage 2 (collect at jdbc.scala:29) finished in 0.290 s
    17/12/11 16:04:25 INFO DAGScheduler: Job 2 finished: collect at jdbc.scala:29, took 0.333871 s
    [1,信方,26,男]
    [2,瑶瑶,22,女]
    17/12/11 16:04:26 INFO SparkContext: Starting job: collect at jdbc.scala:41
    17/12/11 16:04:26 INFO DAGScheduler: Got job 3 (collect at jdbc.scala:41) with 1 output partitions
    17/12/11 16:04:26 INFO DAGScheduler: Final stage: ResultStage 3 (collect at jdbc.scala:41)
    17/12/11 16:04:26 INFO DAGScheduler: Parents of final stage: List()
    17/12/11 16:04:26 INFO DAGScheduler: Missing parents: List()
    17/12/11 16:04:26 INFO DAGScheduler: Submitting ResultStage 3 (MapPartitionsRDD[7] at collect at jdbc.scala:41), which has no missing parents
    17/12/11 16:04:26 INFO MemoryStore: Block broadcast_3 stored as values in memory (estimated size 5.9 KB, free 1122.0 MB)
    17/12/11 16:04:26 INFO MemoryStore: Block broadcast_3_piece0 stored as bytes in memory (estimated size 2.8 KB, free 1122.0 MB)
    17/12/11 16:04:26 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory on 172.20.107.151:55147 (size: 2.8 KB, free: 1122.0 MB)
    17/12/11 16:04:26 INFO SparkContext: Created broadcast 3 from broadcast at DAGScheduler.scala:1006
    17/12/11 16:04:26 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 3 (MapPartitionsRDD[7] at collect at jdbc.scala:41)
    17/12/11 16:04:26 INFO TaskSchedulerImpl: Adding task set 3.0 with 1 tasks
    17/12/11 16:04:26 INFO TaskSetManager: Starting task 0.0 in stage 3.0 (TID 3, xinfang, partition 0,PROCESS_LOCAL, 2069 bytes)
    17/12/11 16:04:26 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory on xinfang:18681 (size: 2.8 KB, free: 511.1 MB)
    17/12/11 16:04:29 INFO TaskSetManager: Finished task 0.0 in stage 3.0 (TID 3) in 3053 ms on xinfang (1/1)
    17/12/11 16:04:29 INFO TaskSchedulerImpl: Removed TaskSet 3.0, whose tasks have all completed, from pool
    17/12/11 16:04:29 INFO DAGScheduler: ResultStage 3 (collect at jdbc.scala:41) finished in 3.055 s
    17/12/11 16:04:29 INFO DAGScheduler: Job 3 finished: collect at jdbc.scala:41, took 3.101476 s
    [96.0000000000,2015-08-18,深圳市宝安区石岩人民医院官田社区健康服务中心,宝安区,7.0000000000,113.947973,22.683914,25.0000000000]
    [97.0000000000,2016-03-03,深圳市龙岗区第三人民医院,龙岗区,76.0000000000,114.2070007,22.65066798,367.0000000000]
    [98.0000000000,2016-03-15,深圳市龙岗区第三人民医院,龙岗区,120.0000000000,114.2070007,22.65066798,439.0000000000]
    [99.0000000000,2014-03-17,深圳市光明新区人民医院,光明新区,117.0000000000,113.914073,22.72181,637.0000000000]
    [100.0000000000,2015-06-21,深圳市龙岗区南湾人民医院,龙岗区,84.0000000000,114.235159,22.732797,339.0000000000]
    [101.0000000000,2015-12-28,深圳市福田区园岭医院上林社区健康服务中心,福田区,49.0000000000,114.06297,22.529945,78.0000000000]
    [102.0000000000,2014-03-08,深圳市坪山新区人民医院,坪山新区,46.0000000000,114.357942,22.693397,165.0000000000]
    [103.0000000000,2016-02-27,深圳市宝安区福永医院兴围社区健康服务中心,宝安区,65.0000000000,113.852402,22.70585,95.0000000000]
    [104.0000000000,2016-03-04,深圳市宝安区松岗人民医院沙埔社区健康服务中心,宝安区,45.0000000000,113.855092,22.770395,63.0000000000]
    [105.0000000000,2015-03-06,深圳市儿童医院,福田区,253.0000000000,114.0507065,22.5502964,864.0000000000]
    17/12/11 16:04:29 INFO SparkContext: Invoking stop() from shutdown hook
    17/12/11 16:04:29 INFO SparkUI: Stopped Spark web UI at http://172.20.107.151:4040
    17/12/11 16:04:29 INFO SparkDeploySchedulerBackend: Shutting down all executors
    17/12/11 16:04:29 INFO SparkDeploySchedulerBackend: Asking each executor to shut down
    17/12/11 16:04:29 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
    17/12/11 16:04:29 INFO MemoryStore: MemoryStore cleared
    17/12/11 16:04:29 INFO BlockManager: BlockManager stopped
    17/12/11 16:04:29 INFO BlockManagerMaster: BlockManagerMaster stopped
    17/12/11 16:04:29 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
    17/12/11 16:04:29 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
    17/12/11 16:04:29 INFO SparkContext: Successfully stopped SparkContext
    17/12/11 16:04:29 INFO ShutdownHookManager: Shutdown hook called
    17/12/11 16:04:30 INFO ShutdownHookManager: Deleting directory C:UsersxinfangAppDataLocalTempspark-318cb532-3e2f-44dd-bdc6-07637f0f37b6
    17/12/11 16:04:30 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
     
    Process finished with exit code 0

     
     
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  • 原文地址：https://www.cnblogs.com/liuys635/p/11090323.html
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