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-rw-r--r--examples/src/main/scala/org/apache/spark/examples/streaming/FlumePollingEventCount.scala67
1 files changed, 67 insertions, 0 deletions
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.examples.streaming
+
+import org.apache.spark.SparkConf
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.flume._
+import org.apache.spark.util.IntParam
+import java.net.InetSocketAddress
+
+/**
+ * Produces a count of events received from Flume.
+ *
+ * This should be used in conjunction with the Spark Sink running in a Flume agent. See
+ * the Spark Streaming programming guide for more details.
+ *
+ * Usage: FlumePollingEventCount <host> <port>
+ * `host` is the host on which the Spark Sink is running.
+ * `port` is the port at which the Spark Sink is listening.
+ *
+ * To run this example:
+ * `$ bin/run-example org.apache.spark.examples.streaming.FlumePollingEventCount [host] [port] `
+ */
+object FlumePollingEventCount {
+ def main(args: Array[String]) {
+ if (args.length < 2) {
+ System.err.println(
+ "Usage: FlumePollingEventCount <host> <port>")
+ System.exit(1)
+ }
+
+ StreamingExamples.setStreamingLogLevels()
+
+ val Array(host, IntParam(port)) = args
+
+ val batchInterval = Milliseconds(2000)
+
+ // Create the context and set the batch size
+ val sparkConf = new SparkConf().setAppName("FlumePollingEventCount")
+ val ssc = new StreamingContext(sparkConf, batchInterval)
+
+ // Create a flume stream that polls the Spark Sink running in a Flume agent
+ val stream = FlumeUtils.createPollingStream(ssc, host, port)
+
+ // Print out the count of events received from this server in each batch
+ stream.count().map(cnt => "Received " + cnt + " flume events." ).print()
+
+ ssc.start()
+ ssc.awaitTermination()
+ }
+}