Spark教程——(10)Spark SQL读取Phoenix数据本地执行计算

韩恺
2023-12-01

添加配置文件 phoenixConnectMode.scala :

package statistics.benefits

import org.apache.hadoop.conf.Configuration
import org.apache.spark.sql.{DataFrame, SQLContext}
import org.apache.phoenix.spark._

object phoenixConnectMode {

  private val zookeeper = "node3:2181"

  def getMode1(sqlContext: SQLContext, tableName: String, columns: Array[String]): DataFrame = {
    val configuration = new Configuration()
    configuration.set("phoenix.schema.isNamespaceMappingEnabled", "true")
    configuration.set("phoenix.schema.mapSystemTablesToNamespace", "true")
    configuration.set("hbase.zookeeper.quorum", zookeeper)
    val df = sqlContext.phoenixTableAsDataFrame(tableName, columns, conf = configuration)
    df
  }
}

Spark SQL源文件 costDay.scala :

package statistics

import common.util.timeUtil
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.SQLContext
import statistics.benefits.phoenixConnectMode
//import common.util.{phoenixConnectMode, timeUtil}
import common.util.timeUtil
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.functions.col
/*
每天执行
 */
object costDay {
  def main(args: Array[String]): Unit = {

    val conf = new SparkConf()
          .setAppName("fdsf").setMaster("local")
    val sc = new SparkContext(conf)
    val sqlContext = new SQLContext(sc)

//    val df = sqlContext.load(
//      "org.apache.phoenix.spark"
//      , Map("table" -> "ASSET_NORMAL"
//        , "zkUrl" -> "node3,node4,node5:2181")
//    )
val tableName = "ASSET_NORMAL"
    val columes = Array(
      "ID",
      "ASSET_ID",
      "ASSET_NAME",
      "ASSET_FIRST_DEGREE_ID",
      "ASSET_FIRST_DEGREE_NAME",
      "ASSET_SECOND_DEGREE_ID",
      "ASSET_SECOND_DEGREE_NAME",
      "GB_DEGREE_ID",
      "GB_DEGREE_NAME",
      "ASSET_USE_FIRST_DEGREE_ID",
      "ASSET_USE_FIRST_DEGREE_NAME",
      "ASSET_USE_SECOND_DEGREE_ID",
      "ASSET_USE_SECOND_DEGREE_NAME",
      "MANAGEMENT_TYPE_ID",
      "MANAGEMENT_TYPE_NAME",
      "ASSET_MODEL",
      "FACTORY_NUMBER",
      "ASSET_COUNTRY_ID",
      "ASSET_COUNTRY_NAME",
      "MANUFACTURER",
      "SUPPLIER",
      "SUPPLIER_TEL",
      "ORIGINAL_VALUE",
      "USE_DEPARTMENT_ID",
      "USE_DEPARTMENT_NAME",
      "USER_ID",
      "USER_NAME",
      "ASSET_LOCATION_OF_PARK_ID",
      "ASSET_LOCATION_OF_PARK_NAME",
      "ASSET_LOCATION_OF_BUILDING_ID",
      "ASSET_LOCATION_OF_BUILDING_NAME",
      "ASSET_LOCATION_OF_ROOM_ID",
      "ASSET_LOCATION_OF_ROOM_NUMBER",
      "PRODUCTION_DATE",
      "ACCEPTANCE_DATE",
      "REQUISITION_DATE",
      "PERFORMANCE_INDEX",
      "ASSET_STATE_ID",
      "ASSET_STATE_NAME",
      "INSPECTION_TYPE_ID",
      "INSPECTION_TYPE_NAME",
      "SEAL_DATE",
      "SEAL_CAUSE",
      "COST_ITEM_ID",
      "COST_ITEM_NAME",
      "ITEM_COMMENTS",
      "UNSEAL_DATE",
      "SCRAP_DATE",
      "PURCHASE_NUMBER",
      "WARRANTY_PERIOD",
      "DEPRECIABLE_LIVES_ID",
      "DEPRECIABLE_LIVES_NAME",
      "MEASUREMENT_UNITS_ID",
      "MEASUREMENT_UNITS_NAME",
      "ANNEX",
      "REMARK",
      "ACCOUNTING_TYPE_ID",
      "ACCOUNTING_TYPE_NAME",
      "SYSTEM_TYPE_ID",
      "SYSTEM_TYPE_NAME",
      "ASSET_ID_PARENT",
      "CLASSIFIED_LEVEL_ID",
      "CLASSIFIED_LEVEL_NAME",
      "ASSET_PICTURE",
      "MILITARY_SPECIAL_CODE",
      "CHECK_CYCLE_ID",
      "CHECK_CYCLE_NAME",
      "CHECK_DATE",
      "CHECK_EFFECTIVE_DATE",
      "CHECK_MODE_ID",
      "CHECK_MODE_NAME",
      "CHECK_DEPARTMENT_ID",
      "CHECK_DEPARTMENT_NAME",
      "RENT_STATUS_ID",
      "RENT_STATUS_NAME",
      "STORAGE_TIME",
      "UPDATE_USER",
      "UPDATE_TIME",
      "IS_ON_PROCESS",
      "IS_DELETED",
      "FIRST_DEPARTMENT_ID",
      "FIRST_DEPARTMENT_NAME",
      "SECOND_DEPARTMENT_ID",
      "SECOND_DEPARTMENT_NAME",
      "CREATE_USER",
      "CREATE_TIME"
    )
    val df = phoenixConnectMode.getMode1(sqlContext, tableName, columes)
      .filter(col("USE_DEPARTMENT_ID") isNotNull)
    df.registerTempTable("asset_normal")
    //    df.show(false)

    def costingWithin(originalValue: Double, years: Int): Double =  (originalValue*0.95)/(years*365)
    sqlContext.udf.register("costingWithin", costingWithin _)

    def costingBeyond(originalValue: Double): Double = originalValue*0.05/365
    sqlContext.udf.register("costingBeyond", costingBeyond _)

    def expire(acceptanceDate: String, years: Int): Boolean = timeUtil.dateStrAddYears2TimeStamp(acceptanceDate, timeUtil.SECOND_TIME_FORMAT, years) > System.currentTimeMillis()
    sqlContext.udf.register("expire", expire _)

    val costDay = sqlContext
      .sql(
        "select " +
          "ID" +
          ",USE_DEPARTMENT_ID as FIRST_DEPARTMENT_ID" +
          ",case when expire(ACCEPTANCE_DATE, DEPRECIABLE_LIVES_NAME) then costingWithin(ORIGINAL_VALUE, DEPRECIABLE_LIVES_NAME) else costingBeyond(ORIGINAL_VALUE) end as ACTUAL_COST" +
          ",ORIGINAL_VALUE" +
          ",current_timestamp() as GENERATION_TIME" +
          " from asset_normal"
      )

    costDay.show(false)
//    costDay.write
//      .format("org.apache.phoenix.spark")
//      .mode("overwrite")
//      .option("table", "ASSET_FINANCIAL_DETAIL_DAY")
//      .option("zkUrl", "node3,node4,node5:2181")
//      .save()
  }
}

返回信息:Process finished with exit code 0,执行成功!

执行结果:

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statistics.costDay
19/09/19 23:38:24 INFO spark.SparkContext: Running Spark version 1.6.0
19/09/19 23:38:25 INFO spark.SecurityManager: Changing view acls to: cf_pc
19/09/19 23:38:25 INFO spark.SecurityManager: Changing modify acls to: cf_pc
19/09/19 23:38:25 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(cf_pc); users with modify permissions: Set(cf_pc)
19/09/19 23:38:26 INFO util.Utils: Successfully started service 'sparkDriver' on port 56564.
19/09/19 23:38:27 INFO slf4j.Slf4jLogger: Slf4jLogger started
19/09/19 23:38:27 INFO Remoting: Starting remoting
19/09/19 23:38:27 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@10.200.74.156:56580]
19/09/19 23:38:27 INFO Remoting: Remoting now listens on addresses: [akka.tcp://sparkDriverActorSystem@10.200.74.156:56580]
19/09/19 23:38:27 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 56580.
19/09/19 23:38:27 INFO spark.SparkEnv: Registering MapOutputTracker
19/09/19 23:38:27 INFO spark.SparkEnv: Registering BlockManagerMaster
19/09/19 23:38:27 INFO storage.DiskBlockManager: Created local directory at C:\Users\cf_pc\AppData\Local\Temp\blockmgr-76b81e6b-b765-4620-a1c0-5078286a7cfc
19/09/19 23:38:27 INFO storage.MemoryStore: MemoryStore started with capacity 478.2 MB
19/09/19 23:38:27 INFO spark.SparkEnv: Registering OutputCommitCoordinator
19/09/19 23:38:28 INFO server.Server: jetty-8.y.z-SNAPSHOT
19/09/19 23:38:28 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
19/09/19 23:38:28 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
19/09/19 23:38:28 INFO ui.SparkUI: Started SparkUI at http://10.200.74.156:4040
19/09/19 23:38:28 INFO executor.Executor: Starting executor ID driver on host localhost
19/09/19 23:38:28 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 56589.
19/09/19 23:38:28 INFO netty.NettyBlockTransferService: Server created on 56589
19/09/19 23:38:28 INFO storage.BlockManagerMaster: Trying to register BlockManager
19/09/19 23:38:28 INFO storage.BlockManagerMasterEndpoint: Registering block manager localhost:56589 with 478.2 MB RAM, BlockManagerId(driver, localhost, 56589)
19/09/19 23:38:28 INFO storage.BlockManagerMaster: Registered BlockManager
19/09/19 23:38:30 INFO storage.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 247.5 KB, free 477.9 MB)
19/09/19 23:38:30 INFO storage.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 15.4 KB, free 477.9 MB)
19/09/19 23:38:30 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:56589 (size: 15.4 KB, free: 478.2 MB)
19/09/19 23:38:30 INFO spark.SparkContext: Created broadcast 0 from newAPIHadoopRDD at PhoenixRDD.scala:49
19/09/19 23:38:30 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Trying to connect to a secure cluster as 2181 with keytab /hbase
19/09/19 23:38:30 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Successful login to secure cluster
19/09/19 23:38:30 INFO log.QueryLoggerDisruptor: Starting  QueryLoggerDisruptor for with ringbufferSize=8192, waitStrategy=BlockingWaitStrategy, exceptionHandler=org.apache.phoenix.log.QueryLoggerDefaultExceptionHandler@59edb4f5...
19/09/19 23:38:30 INFO query.ConnectionQueryServicesImpl: An instance of ConnectionQueryServices was created.
19/09/19 23:38:30 INFO zookeeper.RecoverableZooKeeper: Process identifier=hconnection-0x73041b7d connecting to ZooKeeper ensemble=node3:2181
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:host.name=DESKTOP-0CDQ4PM
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:java.version=1.8.0_212
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:java.home=C:\3rd\Java\jdk1.8.0_212\jre
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client 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19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:os.version=10.0
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:user.name=cf_pc
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:user.home=C:\Users\cf_pc
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Client environment:user.dir=C:\development\statistics
19/09/19 23:38:30 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=node3:2181 sessionTimeout=90000 watcher=hconnection-0x73041b7d0x0, quorum=node3:2181, baseZNode=/hbase
19/09/19 23:38:30 INFO zookeeper.ClientCnxn: Opening socket connection to server node3/10.200.101.133:2181. Will not attempt to authenticate using SASL (unknown error)
19/09/19 23:38:30 INFO zookeeper.ClientCnxn: Socket connection established to node3/10.200.101.133:2181, initiating session
19/09/19 23:38:30 INFO zookeeper.ClientCnxn: Session establishment complete on server node3/10.200.101.133:2181, sessionid = 0x36ca2ccfed66850, negotiated timeout = 60000
19/09/19 23:38:31 INFO query.ConnectionQueryServicesImpl: HConnection established. Stacktrace for informational purposes: hconnection-0x73041b7d java.lang.Thread.getStackTrace(Thread.java:1559)
org.apache.phoenix.util.LogUtil.getCallerStackTrace(LogUtil.java:55)
org.apache.phoenix.query.ConnectionQueryServicesImpl.openConnection(ConnectionQueryServicesImpl.java:427)
org.apache.phoenix.query.ConnectionQueryServicesImpl.access$400(ConnectionQueryServicesImpl.java:267)
org.apache.phoenix.query.ConnectionQueryServicesImpl$12.call(ConnectionQueryServicesImpl.java:2515)
org.apache.phoenix.query.ConnectionQueryServicesImpl$12.call(ConnectionQueryServicesImpl.java:2491)
org.apache.phoenix.util.PhoenixContextExecutor.call(PhoenixContextExecutor.java:76)
org.apache.phoenix.query.ConnectionQueryServicesImpl.init(ConnectionQueryServicesImpl.java:2491)
org.apache.phoenix.jdbc.PhoenixDriver.getConnectionQueryServices(PhoenixDriver.java:255)
org.apache.phoenix.jdbc.PhoenixEmbeddedDriver.createConnection(PhoenixEmbeddedDriver.java:150)
org.apache.phoenix.jdbc.PhoenixDriver.connect(PhoenixDriver.java:221)
java.sql.DriverManager.getConnection(DriverManager.java:664)
java.sql.DriverManager.getConnection(DriverManager.java:208)
org.apache.phoenix.mapreduce.util.ConnectionUtil.getConnection(ConnectionUtil.java:113)
org.apache.phoenix.mapreduce.util.ConnectionUtil.getInputConnection(ConnectionUtil.java:58)
org.apache.phoenix.mapreduce.util.PhoenixConfigurationUtil.getSelectColumnMetadataList(PhoenixConfigurationUtil.java:354)
org.apache.phoenix.spark.PhoenixRDD.toDataFrame(PhoenixRDD.scala:118)
org.apache.phoenix.spark.SparkSqlContextFunctions.phoenixTableAsDataFrame(SparkSqlContextFunctions.scala:39)
statistics.benefits.phoenixConnectMode$.getMode1(phoenixConnectMode.scala:16)
statistics.costDay$.main(costDay.scala:117)
statistics.costDay.main(costDay.scala)

19/09/19 23:38:32 INFO Configuration.deprecation: hadoop.native.lib is deprecated. Instead, use io.native.lib.available
19/09/19 23:38:33 INFO mapreduce.PhoenixInputFormat: UseSelectColumns=true, selectColumnList.size()=86, selectColumnList=ID,ASSET_ID,ASSET_NAME,ASSET_FIRST_DEGREE_ID,ASSET_FIRST_DEGREE_NAME,ASSET_SECOND_DEGREE_ID,ASSET_SECOND_DEGREE_NAME,GB_DEGREE_ID,GB_DEGREE_NAME,ASSET_USE_FIRST_DEGREE_ID,ASSET_USE_FIRST_DEGREE_NAME,ASSET_USE_SECOND_DEGREE_ID,ASSET_USE_SECOND_DEGREE_NAME,MANAGEMENT_TYPE_ID,MANAGEMENT_TYPE_NAME,ASSET_MODEL,FACTORY_NUMBER,ASSET_COUNTRY_ID,ASSET_COUNTRY_NAME,MANUFACTURER,SUPPLIER,SUPPLIER_TEL,ORIGINAL_VALUE,USE_DEPARTMENT_ID,USE_DEPARTMENT_NAME,USER_ID,USER_NAME,ASSET_LOCATION_OF_PARK_ID,ASSET_LOCATION_OF_PARK_NAME,ASSET_LOCATION_OF_BUILDING_ID,ASSET_LOCATION_OF_BUILDING_NAME,ASSET_LOCATION_OF_ROOM_ID,ASSET_LOCATION_OF_ROOM_NUMBER,PRODUCTION_DATE,ACCEPTANCE_DATE,REQUISITION_DATE,PERFORMANCE_INDEX,ASSET_STATE_ID,ASSET_STATE_NAME,INSPECTION_TYPE_ID,INSPECTION_TYPE_NAME,SEAL_DATE,SEAL_CAUSE,COST_ITEM_ID,COST_ITEM_NAME,ITEM_COMMENTS,UNSEAL_DATE,SCRAP_DATE,PURCHASE_NUMBER,WARRANTY_PERIOD,DEPRECIABLE_LIVES_ID,DEPRECIABLE_LIVES_NAME,MEASUREMENT_UNITS_ID,MEASUREMENT_UNITS_NAME,ANNEX,REMARK,ACCOUNTING_TYPE_ID,ACCOUNTING_TYPE_NAME,SYSTEM_TYPE_ID,SYSTEM_TYPE_NAME,ASSET_ID_PARENT,CLASSIFIED_LEVEL_ID,CLASSIFIED_LEVEL_NAME,ASSET_PICTURE,MILITARY_SPECIAL_CODE,CHECK_CYCLE_ID,CHECK_CYCLE_NAME,CHECK_DATE,CHECK_EFFECTIVE_DATE,CHECK_MODE_ID,CHECK_MODE_NAME,CHECK_DEPARTMENT_ID,CHECK_DEPARTMENT_NAME,RENT_STATUS_ID,RENT_STATUS_NAME,STORAGE_TIME,UPDATE_USER,UPDATE_TIME,IS_ON_PROCESS,IS_DELETED,FIRST_DEPARTMENT_ID,FIRST_DEPARTMENT_NAME,SECOND_DEPARTMENT_ID,SECOND_DEPARTMENT_NAME,CREATE_USER,CREATE_TIME 
19/09/19 23:38:36 INFO Configuration.deprecation: io.bytes.per.checksum is deprecated. Instead, use dfs.bytes-per-checksum
19/09/19 23:38:36 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Trying to connect to a secure cluster as 2181 with keytab /hbase
19/09/19 23:38:36 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Successful login to secure cluster
19/09/19 23:38:36 INFO Configuration.deprecation: io.bytes.per.checksum is deprecated. Instead, use dfs.bytes-per-checksum
19/09/19 23:38:36 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Trying to connect to a secure cluster as 2181 with keytab /hbase
19/09/19 23:38:36 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Successful login to secure cluster
19/09/19 23:38:36 INFO mapreduce.PhoenixInputFormat: UseSelectColumns=true, selectColumnList.size()=86, selectColumnList=ID,ASSET_ID,ASSET_NAME,ASSET_FIRST_DEGREE_ID,ASSET_FIRST_DEGREE_NAME,ASSET_SECOND_DEGREE_ID,ASSET_SECOND_DEGREE_NAME,GB_DEGREE_ID,GB_DEGREE_NAME,ASSET_USE_FIRST_DEGREE_ID,ASSET_USE_FIRST_DEGREE_NAME,ASSET_USE_SECOND_DEGREE_ID,ASSET_USE_SECOND_DEGREE_NAME,MANAGEMENT_TYPE_ID,MANAGEMENT_TYPE_NAME,ASSET_MODEL,FACTORY_NUMBER,ASSET_COUNTRY_ID,ASSET_COUNTRY_NAME,MANUFACTURER,SUPPLIER,SUPPLIER_TEL,ORIGINAL_VALUE,USE_DEPARTMENT_ID,USE_DEPARTMENT_NAME,USER_ID,USER_NAME,ASSET_LOCATION_OF_PARK_ID,ASSET_LOCATION_OF_PARK_NAME,ASSET_LOCATION_OF_BUILDING_ID,ASSET_LOCATION_OF_BUILDING_NAME,ASSET_LOCATION_OF_ROOM_ID,ASSET_LOCATION_OF_ROOM_NUMBER,PRODUCTION_DATE,ACCEPTANCE_DATE,REQUISITION_DATE,PERFORMANCE_INDEX,ASSET_STATE_ID,ASSET_STATE_NAME,INSPECTION_TYPE_ID,INSPECTION_TYPE_NAME,SEAL_DATE,SEAL_CAUSE,COST_ITEM_ID,COST_ITEM_NAME,ITEM_COMMENTS,UNSEAL_DATE,SCRAP_DATE,PURCHASE_NUMBER,WARRANTY_PERIOD,DEPRECIABLE_LIVES_ID,DEPRECIABLE_LIVES_NAME,MEASUREMENT_UNITS_ID,MEASUREMENT_UNITS_NAME,ANNEX,REMARK,ACCOUNTING_TYPE_ID,ACCOUNTING_TYPE_NAME,SYSTEM_TYPE_ID,SYSTEM_TYPE_NAME,ASSET_ID_PARENT,CLASSIFIED_LEVEL_ID,CLASSIFIED_LEVEL_NAME,ASSET_PICTURE,MILITARY_SPECIAL_CODE,CHECK_CYCLE_ID,CHECK_CYCLE_NAME,CHECK_DATE,CHECK_EFFECTIVE_DATE,CHECK_MODE_ID,CHECK_MODE_NAME,CHECK_DEPARTMENT_ID,CHECK_DEPARTMENT_NAME,RENT_STATUS_ID,RENT_STATUS_NAME,STORAGE_TIME,UPDATE_USER,UPDATE_TIME,IS_ON_PROCESS,IS_DELETED,FIRST_DEPARTMENT_ID,FIRST_DEPARTMENT_NAME,SECOND_DEPARTMENT_ID,SECOND_DEPARTMENT_NAME,CREATE_USER,CREATE_TIME 
19/09/19 23:38:36 INFO mapreduce.PhoenixInputFormat: Select Statement: SELECT "ID","0"."ASSET_ID","0"."ASSET_NAME","0"."ASSET_FIRST_DEGREE_ID","0"."ASSET_FIRST_DEGREE_NAME","0"."ASSET_SECOND_DEGREE_ID","0"."ASSET_SECOND_DEGREE_NAME","0"."GB_DEGREE_ID","0"."GB_DEGREE_NAME","0"."ASSET_USE_FIRST_DEGREE_ID","0"."ASSET_USE_FIRST_DEGREE_NAME","0"."ASSET_USE_SECOND_DEGREE_ID","0"."ASSET_USE_SECOND_DEGREE_NAME","0"."MANAGEMENT_TYPE_ID","0"."MANAGEMENT_TYPE_NAME","0"."ASSET_MODEL","0"."FACTORY_NUMBER","0"."ASSET_COUNTRY_ID","0"."ASSET_COUNTRY_NAME","0"."MANUFACTURER","0"."SUPPLIER","0"."SUPPLIER_TEL","0"."ORIGINAL_VALUE","0"."USE_DEPARTMENT_ID","0"."USE_DEPARTMENT_NAME","0"."USER_ID","0"."USER_NAME","0"."ASSET_LOCATION_OF_PARK_ID","0"."ASSET_LOCATION_OF_PARK_NAME","0"."ASSET_LOCATION_OF_BUILDING_ID","0"."ASSET_LOCATION_OF_BUILDING_NAME","0"."ASSET_LOCATION_OF_ROOM_ID","0"."ASSET_LOCATION_OF_ROOM_NUMBER","0"."PRODUCTION_DATE","0"."ACCEPTANCE_DATE","0"."REQUISITION_DATE","0"."PERFORMANCE_INDEX","0"."ASSET_STATE_ID","0"."ASSET_STATE_NAME","0"."INSPECTION_TYPE_ID","0"."INSPECTION_TYPE_NAME","0"."SEAL_DATE","0"."SEAL_CAUSE","0"."COST_ITEM_ID","0"."COST_ITEM_NAME","0"."ITEM_COMMENTS","0"."UNSEAL_DATE","0"."SCRAP_DATE","0"."PURCHASE_NUMBER","0"."WARRANTY_PERIOD","0"."DEPRECIABLE_LIVES_ID","0"."DEPRECIABLE_LIVES_NAME","0"."MEASUREMENT_UNITS_ID","0"."MEASUREMENT_UNITS_NAME","0"."ANNEX","0"."REMARK","0"."ACCOUNTING_TYPE_ID","0"."ACCOUNTING_TYPE_NAME","0"."SYSTEM_TYPE_ID","0"."SYSTEM_TYPE_NAME","0"."ASSET_ID_PARENT","0"."CLASSIFIED_LEVEL_ID","0"."CLASSIFIED_LEVEL_NAME","0"."ASSET_PICTURE","0"."MILITARY_SPECIAL_CODE","0"."CHECK_CYCLE_ID","0"."CHECK_CYCLE_NAME","0"."CHECK_DATE","0"."CHECK_EFFECTIVE_DATE","0"."CHECK_MODE_ID","0"."CHECK_MODE_NAME","0"."CHECK_DEPARTMENT_ID","0"."CHECK_DEPARTMENT_NAME","0"."RENT_STATUS_ID","0"."RENT_STATUS_NAME","0"."STORAGE_TIME","0"."UPDATE_USER","0"."UPDATE_TIME","0"."IS_ON_PROCESS","0"."IS_DELETED","0"."FIRST_DEPARTMENT_ID","0"."FIRST_DEPARTMENT_NAME","0"."SECOND_DEPARTMENT_ID","0"."SECOND_DEPARTMENT_NAME","0"."CREATE_USER","0"."CREATE_TIME" FROM ASSET_NORMAL
19/09/19 23:38:36 INFO zookeeper.RecoverableZooKeeper: Process identifier=hconnection-0x5f8da82 connecting to ZooKeeper ensemble=node3:2181
19/09/19 23:38:36 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=node3:2181 sessionTimeout=90000 watcher=hconnection-0x5f8da820x0, quorum=node3:2181, baseZNode=/hbase
19/09/19 23:38:36 INFO zookeeper.ClientCnxn: Opening socket connection to server node3/10.200.101.133:2181. Will not attempt to authenticate using SASL (unknown error)
19/09/19 23:38:36 INFO zookeeper.ClientCnxn: Socket connection established to node3/10.200.101.133:2181, initiating session
19/09/19 23:38:36 INFO zookeeper.ClientCnxn: Session establishment complete on server node3/10.200.101.133:2181, sessionid = 0x36ca2ccfed66851, negotiated timeout = 60000
19/09/19 23:38:36 INFO util.RegionSizeCalculator: Calculating region sizes for table "IDX_ASSET_NORMAL".
19/09/19 23:38:37 INFO client.ConnectionManager$HConnectionImplementation: Closing master protocol: MasterService
19/09/19 23:38:37 INFO client.ConnectionManager$HConnectionImplementation: Closing zookeeper sessionid=0x36ca2ccfed66851
19/09/19 23:38:37 INFO zookeeper.ZooKeeper: Session: 0x36ca2ccfed66851 closed
19/09/19 23:38:37 INFO zookeeper.ClientCnxn: EventThread shut down
19/09/19 23:38:37 INFO spark.SparkContext: Starting job: show at costDay.scala:142
19/09/19 23:38:37 INFO scheduler.DAGScheduler: Got job 0 (show at costDay.scala:142) with 1 output partitions
19/09/19 23:38:37 INFO scheduler.DAGScheduler: Final stage: ResultStage 0 (show at costDay.scala:142)
19/09/19 23:38:37 INFO scheduler.DAGScheduler: Parents of final stage: List()
19/09/19 23:38:37 INFO scheduler.DAGScheduler: Missing parents: List()
19/09/19 23:38:37 INFO scheduler.DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[7] at show at costDay.scala:142), which has no missing parents
19/09/19 23:38:37 INFO storage.MemoryStore: Block broadcast_1 stored as values in memory (estimated size 23.6 KB, free 477.9 MB)
19/09/19 23:38:37 INFO storage.MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 9.0 KB, free 477.9 MB)
19/09/19 23:38:37 INFO storage.BlockManagerInfo: Added broadcast_1_piece0 in memory on localhost:56589 (size: 9.0 KB, free: 478.1 MB)
19/09/19 23:38:37 INFO spark.SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1004
19/09/19 23:38:37 INFO scheduler.DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[7] at show at costDay.scala:142) (first 15 tasks are for partitions Vector(0))
19/09/19 23:38:37 INFO scheduler.TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
19/09/19 23:38:37 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, executor driver, partition 0, ANY, 2549 bytes)
19/09/19 23:38:37 INFO executor.Executor: Running task 0.0 in stage 0.0 (TID 0)
19/09/19 23:38:37 INFO rdd.NewHadoopRDD: Input split: org.apache.phoenix.mapreduce.PhoenixInputSplit@20b488
19/09/19 23:38:37 INFO Configuration.deprecation: io.bytes.per.checksum is deprecated. Instead, use dfs.bytes-per-checksum
19/09/19 23:38:37 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Trying to connect to a secure cluster as 2181 with keytab /hbase
19/09/19 23:38:37 INFO jdbc.PhoenixEmbeddedDriver$ConnectionInfo: Successful login to secure cluster
19/09/19 23:38:37 INFO codegen.GeneratePredicate: Code generated in 219.2327 ms
19/09/19 23:38:37 INFO codegen.GenerateUnsafeProjection: Code generated in 67.2901 ms
19/09/19 23:38:37 INFO codegen.GenerateSafeProjection: Code generated in 12.9857 ms
19/09/19 23:38:38 INFO executor.Executor: Finished task 0.0 in stage 0.0 (TID 0). 5544 bytes result sent to driver
19/09/19 23:38:38 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 968 ms on localhost (executor driver) (1/1)
19/09/19 23:38:38 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
19/09/19 23:38:38 INFO scheduler.DAGScheduler: ResultStage 0 (show at costDay.scala:142) finished in 1.000 s
19/09/19 23:38:38 INFO scheduler.DAGScheduler: Job 0 finished: show at costDay.scala:142, took 1.145145 s
+--------------------------------+-------------------+-----------------------+--------------+-----------------------+
|ID                              |FIRST_DEPARTMENT_ID|ACTUAL_COST            |ORIGINAL_VALUE|GENERATION_TIME        |
+--------------------------------+-------------------+-----------------------+--------------+-----------------------+
|0001d3d568924f89b073ab7fd10b67f7|1149569976173203456|-40.1654794520548      |-123456.0     |2019-09-19 23:38:36.197|
|0004b28d29124bcc954586b481078bc4|1149569393206890501|526.0068664383562      |1616779.0     |2019-09-19 23:38:36.197|
|0004c64dddda4c289dfc4a9ffb8f14d8|1149569393206890498|443.4765924657534      |1363107.0     |2019-09-19 23:38:36.197|
|0004f257d4b04337bd7a7f46e00e3c72|1149569393206890504|889.779890410959       |8546570.0     |2019-09-19 23:38:36.197|
|00060d2e73314c3a925b0f4408ff8062|1149569393202696199|1391.364794520548      |2672885.0     |2019-09-19 23:38:36.197|
|00064088a53247f8b2435586aad51fb1|1149569976173203457|499.9789041095891      |3649846.0     |2019-09-19 23:38:36.197|
|0008cf0ea69f4c46b1853af91da12f43|1149569393202696200|483.5152054794521      |3529661.0     |2019-09-19 23:38:36.197|
|000aa24e859e4df29f4c14c1f89c5222|1149569393206890503|1923.8509863013699     |3695819.0     |2019-09-19 23:38:36.197|
|000b893786444874b2be42f13093ac30|1149569393206890501|898.7884931506851      |6561156.0     |2019-09-19 23:38:36.197|
|000bce624409453bbc2e29e688b33939|1149569976173203461|2405.1813698630135     |7392768.0     |2019-09-19 23:38:36.197|
|000c1624c43147859b4a8cc210a9bc3d|1149569976173203462|641.9117465753424      |1973034.0     |2019-09-19 23:38:36.197|
|000cd7f91a8b420fa6af8038cd8d2d38|1149569393206890502|803.4142191780821      |3086802.0     |2019-09-19 23:38:36.197|
|000f9ce45af141d581f6be97f925efea|1149569393202696198|-2.6027397260273974E-13|-1.0E-9       |2019-09-19 23:38:36.197|
|0010d45656fe44bbabbb07554d57938e|1149564326588321792|3572.157726027397      |6862303.0     |2019-09-19 23:38:36.197|
|001139ff8a604c3db5c5bb03dfc0b25e|1149564326588321792|1151.3453424657534     |4423590.0     |2019-09-19 23:38:36.197|
|00138f888e9e47eeb713fdfa946ad958|1149569393202696196|93.60389041095891      |899090.0      |2019-09-19 23:38:36.197|
|0013f431b4444fd6a5e9c99e9f96402b|1149569393206890498|350.0574315068493      |1075966.0     |2019-09-19 23:38:36.197|
|00143021a36246dd8ecb07dbe6ece34d|1149569393202696201|632.7836               |6078053.0     |2019-09-19 23:38:36.197|
|00178d016bc4459796a74b9dbf8932af|1149569393202696197|1904.5558356164383     |7317504.0     |2019-09-19 23:38:36.197|
|001e56309b41437385b6b9165b224c32|1149569976173203463|758.8970630136986      |7289406.0     |2019-09-19 23:38:36.197|
+--------------------------------+-------------------+-----------------------+--------------+-----------------------+
only showing top 20 rows

19/09/19 23:38:38 INFO spark.SparkContext: Invoking stop() from shutdown hook
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/static/sql,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/SQL/execution/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/SQL/execution,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/SQL/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/SQL,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/metrics/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/api,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/static,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
19/09/19 23:38:38 INFO handler.ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs,null}
19/09/19 23:38:38 INFO ui.SparkUI: Stopped Spark web UI at http://10.200.74.156:4040
19/09/19 23:38:38 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
19/09/19 23:38:38 INFO storage.MemoryStore: MemoryStore cleared
19/09/19 23:38:38 INFO storage.BlockManager: BlockManager stopped
19/09/19 23:38:38 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
19/09/19 23:38:38 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
19/09/19 23:38:38 INFO spark.SparkContext: Successfully stopped SparkContext
19/09/19 23:38:38 INFO util.ShutdownHookManager: Shutdown hook called
19/09/19 23:38:38 INFO util.ShutdownHookManager: Deleting directory C:\Users\cf_pc\AppData\Local\Temp\spark-0ab01cf8-9dc3-4ad5-a435-d84098223ee3

Process finished with exit code 0

从中得到Spark SQL计算的结果:

+--------------------------------+-------------------+-----------------------+--------------+-----------------------+
|ID                              |FIRST_DEPARTMENT_ID|ACTUAL_COST            |ORIGINAL_VALUE|GENERATION_TIME        |
+--------------------------------+-------------------+-----------------------+--------------+-----------------------+
|0001d3d568924f89b073ab7fd10b67f7|1149569976173203456|-40.1654794520548      |-123456.0     |2019-09-19 23:38:36.197|
|0004b28d29124bcc954586b481078bc4|1149569393206890501|526.0068664383562      |1616779.0     |2019-09-19 23:38:36.197|
|0004c64dddda4c289dfc4a9ffb8f14d8|1149569393206890498|443.4765924657534      |1363107.0     |2019-09-19 23:38:36.197|
|0004f257d4b04337bd7a7f46e00e3c72|1149569393206890504|889.779890410959       |8546570.0     |2019-09-19 23:38:36.197|
|00060d2e73314c3a925b0f4408ff8062|1149569393202696199|1391.364794520548      |2672885.0     |2019-09-19 23:38:36.197|
|00064088a53247f8b2435586aad51fb1|1149569976173203457|499.9789041095891      |3649846.0     |2019-09-19 23:38:36.197|
|0008cf0ea69f4c46b1853af91da12f43|1149569393202696200|483.5152054794521      |3529661.0     |2019-09-19 23:38:36.197|
|000aa24e859e4df29f4c14c1f89c5222|1149569393206890503|1923.8509863013699     |3695819.0     |2019-09-19 23:38:36.197|
|000b893786444874b2be42f13093ac30|1149569393206890501|898.7884931506851      |6561156.0     |2019-09-19 23:38:36.197|
|000bce624409453bbc2e29e688b33939|1149569976173203461|2405.1813698630135     |7392768.0     |2019-09-19 23:38:36.197|
|000c1624c43147859b4a8cc210a9bc3d|1149569976173203462|641.9117465753424      |1973034.0     |2019-09-19 23:38:36.197|
|000cd7f91a8b420fa6af8038cd8d2d38|1149569393206890502|803.4142191780821      |3086802.0     |2019-09-19 23:38:36.197|
|000f9ce45af141d581f6be97f925efea|1149569393202696198|-2.6027397260273974E-13|-1.0E-9       |2019-09-19 23:38:36.197|
|0010d45656fe44bbabbb07554d57938e|1149564326588321792|3572.157726027397      |6862303.0     |2019-09-19 23:38:36.197|
|001139ff8a604c3db5c5bb03dfc0b25e|1149564326588321792|1151.3453424657534     |4423590.0     |2019-09-19 23:38:36.197|
|00138f888e9e47eeb713fdfa946ad958|1149569393202696196|93.60389041095891      |899090.0      |2019-09-19 23:38:36.197|
|0013f431b4444fd6a5e9c99e9f96402b|1149569393206890498|350.0574315068493      |1075966.0     |2019-09-19 23:38:36.197|
|00143021a36246dd8ecb07dbe6ece34d|1149569393202696201|632.7836               |6078053.0     |2019-09-19 23:38:36.197|
|00178d016bc4459796a74b9dbf8932af|1149569393202696197|1904.5558356164383     |7317504.0     |2019-09-19 23:38:36.197|
|001e56309b41437385b6b9165b224c32|1149569976173203463|758.8970630136986      |7289406.0     |2019-09-19 23:38:36.197|
+--------------------------------+-------------------+-----------------------+--------------+-----------------------+
only showing top 20 rows

 

转载于:https://www.cnblogs.com/ratels/p/11553400.html

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