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Posted to user-zh@flink.apache.org by 郭红科 <gu...@linkedsee.com> on 2020/03/18 12:53:51 UTC
ProcessWindowFunction 问题求助
大神:
报错信息:
Error:(73, 27) java: 对于process(com.linkedsee.aiops.CountErrorFunction), 找不到合适的方法
方法 org.apache.flink.streaming.api.datastream.DataStream.<R>process(org.apache.flink.streaming.api.functions.ProcessFunction<org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ObjectNode,R>)不适用
(无法推断类型变量 R
(参数不匹配; com.linkedsee.aiops.CountErrorFunction无法转换为org.apache.flink.streaming.api.functions.ProcessFunction<org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ObjectNode,R>))
方法 org.apache.flink.streaming.api.datastream.DataStream.<R>process(org.apache.flink.streaming.api.functions.ProcessFunction<org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ObjectNode,R>,org.apache.flink.api.common.typeinfo.TypeInformation<R>)不适用
(无法推断类型变量 R
(实际参数列表和形式参数列表长度不同))
StreamingJob.java
/*
* 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.linkedsee.aiops;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ObjectNode;
import org.apache.flink.streaming.api.TimeCharacteristic;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema;
import java.util.*;
/**
* Skeleton for a Flink Streaming Job.
*
* <p>For a tutorial how to write a Flink streaming application, check the
* tutorials and examples on the <a href="https://flink.apache.org/docs/stable/">Flink Website</a>.
*
* <p>To package your application into a JAR file for execution, run
* 'mvn clean package' on the command line.
*
* <p>If you change the name of the main class (with the public static void main(String[] args))
* method, change the respective entry in the POM.xml file (simply search for 'mainClass').
*/
public class StreamingJob {
public static void main(String[] args) throws Exception {
// set up the streaming execution environment
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.setParallelism(1);
Properties properties = new Properties();
properties.setProperty("bootstrap.servers", "xxx:9092");
properties.setProperty("auto.offset.reset", "earliest");
properties.setProperty("group.id", "test");
FlinkKafkaConsumer<ObjectNode> fConsumer =
new FlinkKafkaConsumer<>("aiops_log", new JSONKeyValueDeserializationSchema(false), properties);
fConsumer.assignTimestampsAndWatermarks(new AssignerWatermarks());
DataStream<ObjectNode> dataStream = env
.addSource(fConsumer);
dataStream
.keyBy(new KeySelector<ObjectNode, Object>() {
@Override
public Object getKey(ObjectNode objectNode) throws Exception {
return objectNode.get("value").get("type");
}
})
.timeWindow(Time.seconds(60));
dataStream.process(new CountErrorFunction());
dataStream.print();
/*
* Here, you can start creating your execution plan for Flink.
*
* Start with getting some data from the environment, like
* env.readTextFile(textPath);
*
* then, transform the resulting DataStream<String> using operations
* like
* .filter()
* .flatMap()
* .join()
* .coGroup()
*
* and many more.
* Have a look at the programming guide for the Java API:
*
* https://flink.apache.org/docs/latest/apis/streaming/index.html
*
*/
// execute program
env.execute("Error Detection");
}
}
CountErrorFunction.java
package com.linkedsee.aiops;
import jdk.nashorn.internal.ir.ObjectNode;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;
public class CountErrorFunction extends ProcessWindowFunction<ObjectNode, String, String, TimeWindow> {
@Override
public void process(String s, Context context, Iterable<ObjectNode> iterable, Collector<String> collector) throws Exception {
long count = 0;
for (ObjectNode objN : iterable) {
System.out.println(objN.getElements());
count++;
}
collector.collect("Window:" + context.window() + "count: " + count);
}
}
AssignerWatermarks.java
package com.linkedsee.aiops;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.node.ObjectNode;
import org.apache.flink.streaming.api.functions.AssignerWithPeriodicWatermarks;
import org.apache.flink.streaming.api.functions.AssignerWithPunctuatedWatermarks;
import org.apache.flink.streaming.api.watermark.Watermark;
import java.text.ParseException;
import java.text.SimpleDateFormat;
public class AssignerWatermarks implements AssignerWithPeriodicWatermarks<ObjectNode> {
private SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss,SSS");
private Long currentMaxTimestamp = 0L;
private Long maxOutOfOrderness = 1000L; // 最大允许的乱序时间是10s
@Override
public long extractTimestamp(ObjectNode objectNode, long previousElementTimestamp) throws RuntimeException{
long timestamp = 0L;
try {
System.out.println("msg:" + objectNode.toString());
String timestr = objectNode.get("value").get("timestamp").toString();
if (timestr == null){
timestamp = System.currentTimeMillis();
}else {
timestamp = sdf.parse(timestr).getTime();
}
}catch (ParseException ex){
timestamp = System.currentTimeMillis();
}
currentMaxTimestamp = Math.max(timestamp, currentMaxTimestamp);
return timestamp;
}
@Override
public Watermark getCurrentWatermark() {
return new Watermark(currentMaxTimestamp - maxOutOfOrderness);
}
}
kafka数据格式:
{"level":"INFO","timestamp":"2020-03-18 13:58:40,938","path":"/data/linkedsee/linkedsee_story/installer/logs/bi_aiops/bi_aiops.log","@timestamp":"2020-03-18T05:58:41.487Z","host":"aiops-dev2","type":"runtimelog","project":"metric","@version":"1","trace_id":"2b1c3d15-f322-3337-809f-767749aa8b1c","raw":"granularity is 10m"}
问题:无法定位问题出在哪里
如果 ObjectNode不能作为操作单元那应该怎么写?
谢谢