【雲星データ---Apache Flink実戦シリーズ(逸品版)】:Apache Flink高級特性と高級応用015-Flink中放送変数と分布式キャッシュ001
3848 ワード
1.flinkのブロードキャスト変数
じっこうプログラム
効果の実行
flink worker , 。
じっこうプログラム
package code.book.batch.sinksource.scala
import java.util
import org.apache.flink.api.common.functions.RichMapFunction
import org.apache.flink.api.scala.{DataSet, ExecutionEnvironment, _}
import org.apache.flink.configuration.Configuration
object BroadcastVariables001 {
def main(args: Array[String]): Unit = {
val env = ExecutionEnvironment.getExecutionEnvironment
//1. ( map)
case class Worker(name: String, salaryPerMonth: Double)
val workers: DataSet[Worker] = env.fromElements(
Worker("zhagnsan", 1356.67),
Worker("lisi", 1476.67)
)
//2 ( , withBroadcastSet )
case class Count(name: String, month: Int)
val counts: DataSet[Count] = env.fromElements(
Count("zhagnsan", 4),
Count("lisi", 5)
)
//3. map
workers.map(new RichMapFunction[Worker, Worker] {
private var cwork: util.List[Count] = null
override def open(parameters: Configuration): Unit = {
super.open(parameters)
// 3.1
cwork = getRuntimeContext.getBroadcastVariable[Count]("countWorkInfo")
}
override def map(w: Worker): Worker = {
//3.2
var i = 0
while (i < cwork.size()) {
val c = cwork.get(i)
i += 1
if (c.name.equalsIgnoreCase(w.name)) {
//
return Worker(w.name, w.salaryPerMonth * c.month)
}
}
//
Worker("###", 0)
}
}).withBroadcastSet(counts, "countWorkInfo").print()
}
}
効果の実行
Worker(zhagnsan,5426.68)
Worker(lisi,7383.35)