/
TestDatahub.scala
98 lines (88 loc) · 3.06 KB
/
TestDatahub.scala
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
/*
* 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 com.aliyun.emr.examples.streaming
import com.aliyun.datahub.model.RecordEntry
import org.apache.spark.SparkConf
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.{Milliseconds, StreamingContext}
import org.apache.spark.streaming.aliyun.datahub.DatahubUtils
import org.apache.spark.streaming.dstream.DStream
object TestDatahub {
def main(args: Array[String]): Unit = {
if (args.length < 7) {
// scalastyle:off
System.err.println(
"""Usage: TestDatahub <project> <topic> <subscribe Id> <access key id>
| <access key secret> <endpoint> <batch interval seconds> [<shard Id>]
""".stripMargin)
// scalastyle:on
System.exit(1)
}
var isShardDefined = false
if (args.length == 8) {
isShardDefined = true
}
val project = args(0)
val topic = args(1)
val subId = args(2)
val accessKeyId = args(3)
val accessKeySecret = args(4)
val endpoint = args(5)
val batchInterval = Milliseconds(args(6).toInt * 1000)
def functionToCreateContext(): StreamingContext = {
val conf = new SparkConf().setAppName("Test Datahub")
val ssc = new StreamingContext(conf, batchInterval)
var datahubStream: DStream[Array[Byte]] = null
if (isShardDefined) {
val shardId = args(7)
datahubStream = DatahubUtils.createStream(
ssc,
project,
topic,
subId,
accessKeyId,
accessKeySecret,
endpoint,
shardId,
read(_),
StorageLevel.MEMORY_AND_DISK)
} else {
datahubStream = DatahubUtils.createStream(
ssc,
project,
topic,
subId,
accessKeyId,
accessKeySecret,
endpoint,
read(_),
StorageLevel.MEMORY_AND_DISK)
}
// scalastyle:off
datahubStream.checkpoint(batchInterval * 2).foreachRDD(rdd => println(rdd.count()))
// scalastyle:on
ssc.checkpoint("hdfs:///tmp/spark/streaming") // set checkpoint directory
ssc
}
val ssc = StreamingContext.getOrCreate("hdfs:///tmp/spark/streaming", functionToCreateContext _)
ssc.start()
ssc.awaitTermination()
}
def read(record: RecordEntry): String = {
record.getString(0)
}
}