【发布时间】:2020-05-12 23:54:09
【问题描述】:
我想提取嵌入每条消息的时间戳并将它们作为 json 有效负载发送到我的数据库中。
我想获取以下三个时间戳。
活动时间: The point in time when an event or data record occurred, i.e. was originally created “by the source”.
处理时间: The point in time when the event or data record happens to be processed by the stream processing application, i.e. when the record is being consumed.
摄取时间: The point in time when an event or data record is stored in a topic partition by a Kafka broker.
这是我的流应用程序代码:
Properties props = new Properties();
props.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-pipe");
props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, BROKER_URL + ":9092"); // pass from env localhost:9092 ,BROKER_URL + ":9092"
props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
final StreamsBuilder builder = new StreamsBuilder();
KStream<String, String> source_o365_user_activity = builder.stream("o365_user_activity");
source_o365_user_activity.flatMapValues(new ValueMapper<String, Iterable<String>>() {
@Override
public Iterable<String> apply(String value) {
System.out.println("========> o365_user_activity_by_date Log: " + value);
ArrayList<String> keywords = new ArrayList<String>();
try {
JSONObject send = new JSONObject();
JSONObject received = new JSONObject(value);
send.put("current_date", getCurrentDate().toString()); // UTC TIME
send.put("activity_time", received.get("CreationTime")); // CONSTANTS FINAL STATIC(Topic Names, Cassandra keys)
send.put("user_id", received.get("UserId"));
send.put("operation", received.get("Operation"));
send.put("workload", received.get("Workload"));
keywords.add(send.toString());
} catch (Exception e) {
// TODO: handle exception
System.err.println("Unable to convert to json");
e.printStackTrace();
}
return keywords;
}
}).to("o365_user_activity_by_date");
在代码中,我只是获取每条记录,对其进行一些流处理并将其发送到不同的主题。
现在我要发送的每条记录都嵌入在有效负载中。
我查看了FailOnInvalidTimestamp 和WallclockTimestampExtractor,但对如何使用它们感到困惑。
请指导我如何实现这一目标。
【问题讨论】:
标签: java apache-kafka apache-kafka-streams