scala mysql jdbc oper
内容导读
互联网集市收集整理的这篇技术教程文章主要介绍了scala mysql jdbc oper，小编现在分享给大家，供广大互联网技能从业者学习和参考。文章包含12241字，纯文字阅读大概需要18分钟。
内容图文
internal.xsltc.compiler.util.IntType
import org.apache.spark.sql.types._
import org.apache.spark.sql.{Row, SparkSession}
import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkConf, SparkContext}
object jdbc {
def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("JdbcOperation").setMaster("local")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
///////////////////////read///////////////////////////
val properties = new Properties() properties.put("user","root") properties.put("password","xxx") val url = "jdbc:mysql://127.0.0.1:3306/spark?useUnicode=true&characterEncoding=gbk&zeroDateTimeBehavior=convertToNull" val stud_scoreDF = sqlContext.read.jdbc(url,"dtspark",properties) stud_scoreDF.show() ///////////////////////write/////////////////////////// //通过并行化创建RDD val personRDD = sc.parallelize(Array("blm 5 144", "jerry 18 188", "kitty 5 166")).map(_.split(" ")) //通过StrutType直接指定每个字段的schema val schema = StructType( List( StructField("name",StringType,true), StructField("age",IntegerType,true), StructField("score",IntegerType,true) ) ) //将RDD映射到rowRDD val rowRDD = personRDD.map(p => Row(p(0).trim, p(1).toInt, p(2).toInt)) //将schema信息应用到rowRDD上 val personDataFrame = sqlContext.createDataFrame(rowRDD,schema) //创建Properties存储数据库相关属性 //将数据追加到数据库 personDataFrame.write.mode("append").jdbc("jdbc:mysql://127.0.0.1:3306/spark", "dtspark",properties) //停止SparkContext //print again stud_scoreDF.show() sc.stop() } } ================================ Using Spark‘s default log4j profile: org/apache/spark/log4j-defaults.properties 18/01/29 20:24:17 INFO SparkContext: Running Spark version 2.2.1 18/01/29 20:24:19 INFO SparkContext: Submitted application: JdbcOperation 18/01/29 20:24:19 INFO SecurityManager: Changing view acls to: fangping 18/01/29 20:24:19 INFO SecurityManager: Changing modify acls to: fangping 18/01/29 20:24:19 INFO SecurityManager: Changing view acls groups to: 18/01/29 20:24:19 INFO SecurityManager: Changing modify acls groups to: 18/01/29 20:24:19 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(fangping); groups with view permissions: Set(); users with modify permissions: Set(fangping); groups with modify permissions: Set() 18/01/29 20:24:19 INFO Utils: Successfully started service ‘sparkDriver‘ on port 51005. 18/01/29 20:24:19 INFO SparkEnv: Registering MapOutputTracker 18/01/29 20:24:19 INFO SparkEnv: Registering BlockManagerMaster 18/01/29 20:24:19 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 18/01/29 20:24:19 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 18/01/29 20:24:19 INFO DiskBlockManager: Created local directory at C:\Users\fangping\AppData\Local\Temp\blockmgr-b8154e0d-e77b-4ba9-818b-71d3ffb8c553 18/01/29 20:24:19 INFO MemoryStore: MemoryStore started with capacity 339.6 MB 18/01/29 20:24:20 INFO SparkEnv: Registering OutputCommitCoordinator 18/01/29 20:24:20 INFO Utils: Successfully started service ‘SparkUI‘ on port 4040. 18/01/29 20:24:20 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://172.18.3.13:4040 18/01/29 20:24:20 INFO Executor: Starting executor ID driver on host localhost 18/01/29 20:24:20 INFO Utils: Successfully started service ‘org.apache.spark.network.netty.NettyBlockTransferService‘ on port 51014. 18/01/29 20:24:20 INFO NettyBlockTransferService: Server created on 172.18.3.13:51014 18/01/29 20:24:20 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 18/01/29 20:24:20 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 172.18.3.13, 51014, None) 18/01/29 20:24:20 INFO BlockManagerMasterEndpoint: Registering block manager 172.18.3.13:51014 with 339.6 MB RAM, BlockManagerId(driver, 172.18.3.13, 51014, None) 18/01/29 20:24:20 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 172.18.3.13, 51014, None) 18/01/29 20:24:20 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 172.18.3.13, 51014, None) 18/01/29 20:24:20 INFO SharedState: Setting hive.metastore.warehouse.dir (‘null‘) to the value of spark.sql.warehouse.dir (‘file:/E:/back/scalaWs/Spark2Demo/spark-warehouse/‘). 18/01/29 20:24:20 INFO SharedState: Warehouse path is ‘file:/E:/back/scalaWs/Spark2Demo/spark-warehouse/‘. 18/01/29 20:24:21 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint 18/01/29 20:24:26 INFO CodeGenerator: Code generated in 239.883814 ms 18/01/29 20:24:27 INFO CodeGenerator: Code generated in 15.603579 ms 18/01/29 20:24:27 INFO SparkContext: Starting job: show at jdbc.scala:20 18/01/29 20:24:27 INFO DAGScheduler: Got job 0 (show at jdbc.scala:20) with 1 output partitions 18/01/29 20:24:27 INFO DAGScheduler: Final stage: ResultStage 0 (show at jdbc.scala:20) 18/01/29 20:24:27 INFO DAGScheduler: Parents of final stage: List() 18/01/29 20:24:27 INFO DAGScheduler: Missing parents: List() 18/01/29 20:24:27 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[2] at show at jdbc.scala:20), which has no missing parents 18/01/29 20:24:29 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 7.5 KB, free 339.6 MB) 18/01/29 20:24:29 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 4.2 KB, free 339.6 MB) 18/01/29 20:24:29 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 172.18.3.13:51014 (size: 4.2 KB, free: 339.6 MB) 18/01/29 20:24:29 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006 18/01/29 20:24:29 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[2] at show at jdbc.scala:20) (first 15 tasks are for partitions Vector(0)) 18/01/29 20:24:29 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 18/01/29 20:24:29 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, executor driver, partition 0, PROCESS_LOCAL, 4649 bytes) 18/01/29 20:24:29 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 18/01/29 20:24:29 INFO JDBCRDD: closed connection 18/01/29 20:24:29 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 1251 bytes result sent to driver 18/01/29 20:24:29 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 206 ms on localhost (executor driver) (1/1) 18/01/29 20:24:29 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 18/01/29 20:24:29 INFO DAGScheduler: ResultStage 0 (show at jdbc.scala:20) finished in 0.224 s 18/01/29 20:24:29 INFO DAGScheduler: Job 0 finished: show at jdbc.scala:20, took 2.466901 s +-----+---+-----+ | name|age|score| +-----+---+-----+ | swk|500|45455| | blm| 5| 144| |jerry| 18| 188| |kitty| 5| 166| +-----+---+-----+ 18/01/29 20:24:30 INFO SparkContext: Starting job: jdbc at jdbc.scala:44 18/01/29 20:24:30 INFO DAGScheduler: Got job 1 (jdbc at jdbc.scala:44) with 1 output partitions 18/01/29 20:24:30 INFO DAGScheduler: Final stage: ResultStage 1 (jdbc at jdbc.scala:44) 18/01/29 20:24:30 INFO DAGScheduler: Parents of final stage: List() 18/01/29 20:24:30 INFO DAGScheduler: Missing parents: List() 18/01/29 20:24:30 INFO DAGScheduler: Submitting ResultStage 1 (MapPartitionsRDD[9] at jdbc at jdbc.scala:44), which has no missing parents 18/01/29 20:24:30 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 10.8 KB, free 339.6 MB) 18/01/29 20:24:30 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 5.8 KB, free 339.6 MB) 18/01/29 20:24:30 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 172.18.3.13:51014 (size: 5.8 KB, free: 339.6 MB) 18/01/29 20:24:30 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1006 18/01/29 20:24:30 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (MapPartitionsRDD[9] at jdbc at jdbc.scala:44) (first 15 tasks are for partitions Vector(0)) 18/01/29 20:24:30 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks 18/01/29 20:24:30 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, localhost, executor driver, partition 0, PROCESS_LOCAL, 4868 bytes) 18/01/29 20:24:30 INFO Executor: Running task 0.0 in stage 1.0 (TID 1) 18/01/29 20:24:30 INFO CodeGenerator: Code generated in 13.199986 ms 18/01/29 20:24:30 INFO CodeGenerator: Code generated in 86.854105 ms 18/01/29 20:24:30 INFO Executor: Finished task 0.0 in stage 1.0 (TID 1). 970 bytes result sent to driver 18/01/29 20:24:30 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 472 ms on localhost (executor driver) (1/1) 18/01/29 20:24:30 INFO DAGScheduler: ResultStage 1 (jdbc at jdbc.scala:44) finished in 0.473 s 18/01/29 20:24:30 INFO DAGScheduler: Job 1 finished: jdbc at jdbc.scala:44, took 0.496857 s 18/01/29 20:24:30 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool 18/01/29 20:24:30 INFO SparkContext: Starting job: show at jdbc.scala:49 18/01/29 20:24:30 INFO DAGScheduler: Got job 2 (show at jdbc.scala:49) with 1 output partitions 18/01/29 20:24:30 INFO DAGScheduler: Final stage: ResultStage 2 (show at jdbc.scala:49) 18/01/29 20:24:30 INFO DAGScheduler: Parents of final stage: List() 18/01/29 20:24:30 INFO DAGScheduler: Missing parents: List() 18/01/29 20:24:30 INFO DAGScheduler: Submitting ResultStage 2 (MapPartitionsRDD[13] at show at jdbc.scala:49), which has no missing parents 18/01/29 20:24:30 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 7.5 KB, free 339.6 MB) 18/01/29 20:24:30 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 4.2 KB, free 339.6 MB) 18/01/29 20:24:30 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 172.18.3.13:51014 (size: 4.2 KB, free: 339.6 MB) 18/01/29 20:24:30 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1006 18/01/29 20:24:30 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (MapPartitionsRDD[13] at show at jdbc.scala:49) (first 15 tasks are for partitions Vector(0)) 18/01/29 20:24:30 INFO TaskSchedulerImpl: Adding task set 2.0 with 1 tasks 18/01/29 20:24:30 INFO TaskSetManager: Starting task 0.0 in stage 2.0 (TID 2, localhost, executor driver, partition 0, PROCESS_LOCAL, 4649 bytes) 18/01/29 20:24:30 INFO Executor: Running task 0.0 in stage 2.0 (TID 2) 18/01/29 20:24:30 INFO JDBCRDD: closed connection 18/01/29 20:24:30 INFO Executor: Finished task 0.0 in stage 2.0 (TID 2). 1217 bytes result sent to driver 18/01/29 20:24:30 INFO TaskSetManager: Finished task 0.0 in stage 2.0 (TID 2) in 26 ms on localhost (executor driver) (1/1) 18/01/29 20:24:30 INFO TaskSchedulerImpl: Removed TaskSet 2.0, whose tasks have all completed, from pool 18/01/29 20:24:30 INFO DAGScheduler: ResultStage 2 (show at jdbc.scala:49) finished in 0.027 s 18/01/29 20:24:30 INFO DAGScheduler: Job 2 finished: show at jdbc.scala:49, took 0.088025 s +-----+---+-----+ | name|age|score| +-----+---+-----+ | swk|500|45455| | blm| 5| 144| |jerry| 18| 188| |kitty| 5| 166| | blm| 5| 144| |jerry| 18| 188| |kitty| 5| 166| +-----+---+-----+ 18/01/29 20:24:30 INFO SparkUI: Stopped Spark web UI at http://172.18.3.13:4040 18/01/29 20:24:30 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 18/01/29 20:24:30 INFO MemoryStore: MemoryStore cleared 18/01/29 20:24:30 INFO BlockManager: BlockManager stopped 18/01/29 20:24:30 INFO BlockManagerMaster: BlockManagerMaster stopped 18/01/29 20:24:30 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 18/01/29 20:24:30 INFO SparkContext: Successfully stopped SparkContext 18/01/29 20:24:30 INFO ShutdownHookManager: Shutdown hook called 18/01/29 20:24:30 INFO ShutdownHookManager: Deleting directory C:\Users\\AppData\Local\Temp\spark-e888fd39-2e41-43e5-829b-ca203b786cef
scala mysql jdbc oper
标签：数据库 coding shared dom finish end back val generate
本文系统来源：https://www.cnblogs.com/alamps/p/8379372.html
内容总结
以上是互联网集市为您收集整理的scala mysql jdbc oper全部内容，希望文章能够帮你解决scala mysql jdbc oper所遇到的程序开发问题。 如果觉得互联网集市技术教程内容还不错，欢迎将互联网集市网站推荐给程序员好友。
内容备注
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 gblab@vip.qq.com 举报，一经查实，本站将立刻删除。
内容手机端
扫描二维码推送至手机访问。
来源：【匿名】