datahub.DatahubInputDStream.scala Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of datahub-spark Show documentation
The newest version!
/*
 * 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.streaming.aliyun.datahub

import com.aliyun.datahub.model.RecordEntry
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.dstream.ReceiverInputDStream
import org.apache.spark.streaming.receiver.Receiver

import scala.reflect.ClassTag

class DatahubInputDStream[T: ClassTag](
                           @transient _ssc: StreamingContext,
                           projectName: String,
                           topicName: String,
                           subId: String,
                           accessKeyId: String,
                           accessKeySecret: String,
                           endpoint: String,
                           shardId: String,
                           func: RecordEntry => T,
                           storageLevel: StorageLevel,
                           useReliableReceiver: Boolean)
  extends ReceiverInputDStream[T](_ssc) {
  //获取spark的配置
  val sparkDatahubConf = _ssc.sparkContext.getConf.getAll.toMap
  override def getReceiver(): Receiver[T] =
    if (useReliableReceiver) {
      new ReliableDatahubReceiver[T](
        projectName,
        topicName,
        subId,
        accessKeyId,
        accessKeySecret,
        endpoint,
        shardId,
        func,
        storageLevel,
        sparkDatahubConf
      )
    } else {
      new DatahubReceiver[T](
        projectName,
        topicName,
        subId,
        accessKeyId,
        accessKeySecret,
        endpoint,
        shardId,
        func,
        storageLevel,
        sparkDatahubConf
      )
    }

}