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streamingpro-spark-common/src/main/java/streaming/core/AsyncJobRunner.scala
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streamingpro-spark-common/src/main/java/streaming/core/JobCanceller.scala
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streamingpro-spark-common/src/main/java/streaming/core/StreamingproJobManager.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,124 @@ | ||
| package streaming.core | ||
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| import java.util.concurrent.{ConcurrentHashMap, Executors, TimeUnit} | ||
| import java.util.concurrent.atomic.AtomicInteger | ||
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| import org.apache.log4j.Logger | ||
| import org.apache.spark.SparkContext | ||
| import scala.collection.JavaConversions._ | ||
| import scala.collection.mutable.ArrayBuffer | ||
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| import org.apache.spark.sql.SparkSession | ||
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| /** | ||
| * Created by allwefantasy on 15/5/2017. | ||
| */ | ||
| object StreamingproJobManager { | ||
| val logger = Logger.getLogger(classOf[StreamingproJobManager]) | ||
| private[this] var _jobManager: StreamingproJobManager = _ | ||
| private[this] val _executor = Executors.newFixedThreadPool(100) | ||
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| def init(sc: SparkContext, initialDelay: Long = 30, checkTimeInterval: Long = 5) = { | ||
| synchronized { | ||
| if (_jobManager == null) { | ||
| logger.info(s"JobCanceller Timer started with initialDelay=${initialDelay} checkTimeInterval=${checkTimeInterval}") | ||
| _jobManager = new StreamingproJobManager(sc, initialDelay, checkTimeInterval) | ||
| _jobManager.run | ||
| } | ||
| } | ||
| } | ||
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| // def runWithGroup(sc: SparkContext, timeout: Long, f: () => Unit) = { | ||
| // if (_jobManager == null) { | ||
| // f() | ||
| // } else { | ||
| // val groupId = _jobManager.nextGroupId.incrementAndGet().toString | ||
| // sc.setJobGroup(groupId, "", true) | ||
| // try { | ||
| // _jobManager.groupIdToTime.put(groupId, JobTime(System.currentTimeMillis(), timeout)) | ||
| // f() | ||
| // } | ||
| // finally { | ||
| // sc.clearJobGroup() | ||
| // } | ||
| // } | ||
| // } | ||
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| def run(session: SparkSession, job: StreamingproJobInfo, f: () => Unit): Unit = { | ||
| if (_jobManager == null) { | ||
| f() | ||
| } else { | ||
| session.sparkContext.setJobGroup(job.groupId, job.jobName, true) | ||
| try { | ||
| _jobManager.groupIdToStringproJobInfo.put(job.groupId, job) | ||
| f() | ||
| } | ||
| finally { | ||
| session.sparkContext.clearJobGroup() | ||
| } | ||
| } | ||
| } | ||
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| def asyncRun(session: SparkSession, job: StreamingproJobInfo, f: () => Unit) = { | ||
| _executor.execute(new Runnable { | ||
| override def run(): Unit = { | ||
| _jobManager.groupIdToStringproJobInfo.put(job.groupId, job) | ||
| session.sparkContext.setJobGroup(job.groupId, job.jobName, true) | ||
| f() | ||
| } | ||
| }) | ||
| } | ||
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| def getStreamingproJobInfo(owner: String, | ||
| jobType: String, | ||
| jobName: String, | ||
| jobContent: String, | ||
| timeout: Long): StreamingproJobInfo = { | ||
| val startTime = System.currentTimeMillis() | ||
| val groupId = _jobManager.nextGroupId.incrementAndGet().toString | ||
| StreamingproJobInfo(owner, jobType, jobName, jobContent, groupId, startTime, timeout) | ||
| } | ||
| } | ||
|
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| class StreamingproJobManager(sc: SparkContext, initialDelay: Long, checkTimeInterval: Long) { | ||
| val groupIdToStringproJobInfo = new ConcurrentHashMap[String, StreamingproJobInfo]() | ||
| val nextGroupId = new AtomicInteger(0) | ||
| val logger = Logger.getLogger(classOf[StreamingproJobManager]) | ||
| val executor = Executors.newSingleThreadScheduledExecutor() | ||
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| def run = { | ||
| executor.scheduleWithFixedDelay(new Runnable { | ||
| override def run(): Unit = { | ||
| val items = new ArrayBuffer[String]() | ||
| groupIdToStringproJobInfo.foreach { f => | ||
| val elapseTime = System.currentTimeMillis() - f._2.startTime | ||
| if (elapseTime >= f._2.timeout) { | ||
| items += f._1 | ||
| cancelJobGroup(f._1) | ||
| } | ||
| } | ||
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| items.foreach(f => groupIdToStringproJobInfo.remove(f)) | ||
| } | ||
| }, initialDelay, checkTimeInterval, TimeUnit.SECONDS) | ||
| } | ||
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| def cancelJobGroup(groupId: String): Unit = { | ||
| logger.info("JobCanceller Timer cancel job group " + groupId) | ||
| sc.cancelJobGroup(groupId) | ||
| } | ||
| } | ||
|
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| case object StreamingproJobType { | ||
| val SCRIPT = "script" | ||
| val SQL = "sql" | ||
| } | ||
|
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| case class StreamingproJobInfo( | ||
| owner: String, | ||
| jobType: String, | ||
| jobName: String, | ||
| jobContent: String, | ||
| groupId: String, | ||
| startTime: Long, | ||
| timeout: Long) |