我正试图使广播状态只是为了开始使用flink
错误:(78,24)值getBroadcastState不是org.apache.flink.streaming.api.functions.co.KeyedBroadcastProcessFunction [String,realtimealert.LogsTest,realtimealert.PatternStream,(String,String,String)的成员]val模式= ctx.getBroadcastState(patternStateDescriptor)
我进口的商品
import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.api.common.state.{MapStateDescriptor, ValueState, ValueStateDescriptor}
import org.apache.flink.api.scala.typeutils.Types
import org.apache.flink.configuration.Configuration
import org.apache.flink.streaming.api.datastream.BroadcastStream
import org.apache.flink.streaming.api.functions.co.KeyedBroadcastProcessFunction
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010
import org.apache.flink.streaming.api.scala._
import org.apache.flink.util.Collector
这里是代码
val env = StreamExecutionEnvironment.getExecutionEnvironment
val properties = new Properties()
properties.setProperty("bootstrap.servers","localhost:9092")
val patternStream = new FlinkKafkaConsumer010("output", new SimpleStringSchema, properties)
val patterns = env.addSource(patternStream)
var patternData = patterns.map {
str =>
val splitted_str = str.split(",")
PatternStream(splitted_str(0).trim, splitted_str(1).trim, splitted_str(2).trim)
}
val logsStream = new FlinkKafkaConsumer010("logs-data", new SimpleStringSchema, properties)
// logsStream.setStartFromEarliest()
val logs = env.addSource(logsStream)
var data = logs.map {
str =>
val splitted_str = str.split(",")
LogsTest(splitted_str.head.trim, splitted_str(1).trim, splitted_str(2).trim)
}
val keyedData: KeyedStream[LogsTest, String] = data.keyBy(_.metric)
val bcStateDescriptor = new MapStateDescriptor("patterns", Types.STRING, Types.STRING ) // first type defined is for the key and second data type defined is for the value
val broadcastPatterns: BroadcastStream[String] = patterns.broadcast(bcStateDescriptor)
val alerts = keyedData
.connect(broadcastPatterns)
.process(new PatternEvaluator())
alerts.print()
env.execute("Flink Broadcast State Job")
}
class PatternEvaluator()
extends KeyedBroadcastProcessFunction[String, LogsTest, PatternStream, (String, String, String)] {
private lazy val patternStateDescriptor = new MapStateDescriptor("patterns", classOf[String], classOf[String])
private var lastMetricState: ValueState[String] = _
override def open(parameters: Configuration): Unit = {
val lastMetricDescriptor = new ValueStateDescriptor[String]("last-metric", classOf[String])
lastMetricState = getRuntimeContext.getState[String](lastMetricDescriptor)
}
override def processElement(reading: LogsTest,
readOnlyCtx: KeyedBroadcastProcessFunction[String, LogsTest, PatternStream, (String, String, String)]#ReadOnlyContext,
out: Collector[(String, String, String)]): Unit = {
val metrics = readOnlyCtx.getBroadcastState(patternStateDescriptor)
if (metrics.contains(reading.metric)) {
val metricPattern: String = metrics.get(reading.metric)
val metricPatternValue: String = metrics.get(reading.value)
val lastMetric = lastMetricState.value()
val logsMetric = (reading.metric)
val logsValue = (reading.value)
if (logsMetric == metricPattern) {
if(metricPatternValue == logsValue) {
out.collect((reading.timestamp,reading.value,reading.metric))
}
}
}
}
override def processBroadcastElement(
update: PatternStream,
ctx: KeyedBroadcastProcessFunction[String, LogsTest, PatternStream, (String, String, String)]#Context,
out: Collector[(String, String, String)]
): Unit = {
val patterns = ctx.getBroadcastState(patternStateDescriptor)
if (update.metric == "IP") {
patterns.put(/*update.metric, */update.operator, update.value)
}
}
}
问题是,在processElement
方法中,readOnlyCtx
是错误的类型。应该是