Kafka数据源生成器
创建Topic:user_behavior
$ bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic user_behaviorWARNING: Due to limitations in metric names, topics with a period (".") or underscore ("_") could collide. To avoid issues it is best to use either, but not both.
$ bin/kafka-topics.sh --list --bootstrap-server localhost:9092
test
user_behavior
二.生成器代码
参考:SourceGenerator
Java代码:MockSourceGenerator
public class MockSourceGenerator { private static final long SPEED = 10; // 默认每秒10条 hecg
public static void main(String[] args) {
long speed = SPEED;
if (args.length > 0) {
speed = Long.valueOf(args[0]);
}
long delay = 1000_000 / speed; // 每条耗时多少毫秒
// 读取上面的数据集,按行为单位
try (InputStream inputStream = MockSourceGenerator.class.getClassLoader().getResourceAsStream("user_behavior.log")) {
BufferedReader reader = new BufferedReader(new InputStreamReader(inputStream));
long start = System.nanoTime();
while (reader.ready()) {
String line = reader.readLine();
System.out.println(line);
long end = System.nanoTime();
long diff = end - start;
while (diff < (delay*1000)) {
Thread.sleep(1);
end = System.nanoTime();
diff = end - start;
}
start = end;
}
reader.close();
} catch (IOException e) {
throw new RuntimeException(e);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
编译打包,命令行测试:后面参数表示每秒输出多少条数据
$ java -cp target/java-flink-1.0-SNAPSHOT.jar cn.rumoss.study.flink.MockSourceGenerator 1{"user_id": "543462", "item_id":"1715", "category_id": "1464116", "behavior": "pv", "ts": "2017-11-26T01:00:00Z"}
{"user_id": "662867", "item_id":"2244074", "category_id": "1575622", "behavior": "pv", "ts": "2017-11-26T01:00:00Z"}
{"user_id": "561558", "item_id":"3611281", "category_id": "965809", "behavior": "pv", "ts": "2017-11-26T01:00:00Z"}
...
三.使用管道,往Kafka中丢入数据
把上面的Jar
包复制到Kafka根目录下:
往Topic中生产数据:
$ java -cp java-flink-1.0-SNAPSHOT.jar cn.rumoss.study.flink.MockSourceGenerator 1 | bin/kafka-console-producer.sh --broker-list localhost:9092 --topic user_behavior
>>>...
订阅Topic消费放入的数据,可以看到陆续有数据进来:
$ bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic user_behavior --from-beginning
{"user_id": "543462", "item_id":"1715", "category_id": "1464116", "behavior": "pv", "ts": "2017-11-26T01:00:00Z"}
{"user_id": "662867", "item_id":"2244074", "category_id": "1575622", "behavior": "pv", "ts": "2017-11-26T01:00:00Z"}
{"user_id": "561558", "item_id":"3611281", "category_id": "965809", "behavior": "pv", "ts": "2017-11-26T01:00:00Z"}
...
以上是 Kafka数据源生成器 的全部内容, 来源链接: utcz.com/z/512907.html