回复： 回复：fink新增计算逻辑时kafka从头开始追平消费记录

[Evan]

   苟刚你好,刚才看了你的kafka消费代码，建议你在获取consumer后，增加一行如下代码 
“consumer.setStartFromLatest();”然后再测试一下。


/**
     * @param env
     * @param topic
     * @param time  订阅的时间
     * @return
     * @throws IllegalAccessException
     */
&nbsp; &nbsp; public static DataStreamSource<XlogStreamBasicBean&gt; 
buildSource(StreamExecutionEnvironment env, String topic, Long time) throws 
IllegalAccessException {
&nbsp; &nbsp; &nbsp; &nbsp; ParameterTool parameterTool = (ParameterTool) 
env.getConfig().getGlobalJobParameters();
&nbsp; &nbsp; &nbsp; &nbsp; Properties props = buildKafkaProps(parameterTool);
&nbsp; &nbsp; &nbsp; &nbsp; FlinkKafkaConsumer011<XlogStreamBasicBean&gt; 
consumer = new FlinkKafkaConsumer011<&gt;(
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; topic,
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; new MetricSchema(),
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; props);


&nbsp; &nbsp; &nbsp; &nbsp; consumer.setStartFromLatest();

&nbsp; &nbsp; &nbsp; &nbsp; consumer.assignTimestampsAndWatermarks(new 
AscendingTimestampExtractor<XlogStreamBasicBean&gt;() {
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; @Override
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; public long 
extractAscendingTimestamp(XlogStreamBasicBean element) {
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if (element == null || 
element.getTimestamp() == null) {
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; return 
System.currentTimeMillis();
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; }
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; return 
element.getTimestamp() - 10000;
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; }
&nbsp; &nbsp; &nbsp; &nbsp; });
&nbsp; &nbsp; &nbsp; &nbsp; return env.addSource(consumer);
&nbsp; &nbsp; }


}





------------------&nbsp;原始邮件&nbsp;------------------
发件人:&nbsp;"gang.gou"<gougang_1...@163.com&gt;;
发送时间:&nbsp;2020年4月7日(星期二) 下午2:32
收件人:&nbsp;"user-zh"<user-zh@flink.apache.org&gt;;

主题:&nbsp;Re: 回复：fink新增计算逻辑时kafka从头开始追平消费记录



我的kafka版本是0.11；flink版本是1.6.3；我没有显示设置offset自动提交，但是看kafka的官网文档，默认应该是true




在 2020/4/7 
下午2:10，“Evan”<user-zh-return-2816-gougang_1991=163....@flink.apache.org 代表 
chengyanan1...@foxmail.com&gt; 写入:

&nbsp;&nbsp;&nbsp; 苟刚你好：请问你使用的kafka是什么版本的，还有就是有没有设置offset自动提交
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; ------------------&amp;nbsp;原始邮件&amp;nbsp;------------------
&nbsp;&nbsp;&nbsp; 发件人:&amp;nbsp;"苟刚"<gougang_1...@163.com&amp;gt;;
&nbsp;&nbsp;&nbsp; 发送时间:&amp;nbsp;2020年4月7日(星期二) 中午11:27
&nbsp;&nbsp;&nbsp; 收件人:&amp;nbsp;"user-zh"<user-zh@flink.apache.org&amp;gt;;
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 主题:&amp;nbsp;fink新增计算逻辑时kafka从头开始追平消费记录
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; Hello,
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
我遇到一个问题，我用flink做实时统计的时候，每次新增一种计算类型，算子就会从kafka的最早的消息开始消费，导致我每次重启后都需要花费好长的时间去追平记录，请问有什么办法解决吗？
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
我的wartermark是设置在kafka的consumer上的，下面的每新增一个process的时候都会从头开始消费。
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; flink版本：1.6.3
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 部分代码如下：
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; public static void main(String[] args) throws Exception {
&nbsp;&nbsp;&nbsp; final ParameterTool parameterTool = 
ExecutionEnvUtil.createParameterTool(args);
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; StreamExecutionEnvironment 
env = ExecutionEnvUtil.prepare(parameterTool);
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
DataStreamSource<XlogStreamBasicBean&amp;gt; data = KafkaTools.buildSource(env);
&nbsp;&nbsp;&nbsp; // 处理timing数据
&nbsp;&nbsp;&nbsp; processTimingData(parameterTool, data);
&nbsp;&nbsp;&nbsp; // 处理front error数据
&nbsp;&nbsp;&nbsp; processFrontErrorData(parameterTool, data);
&nbsp;&nbsp;&nbsp; // 处理img error数据
&nbsp;&nbsp;&nbsp; processImgLoadErrorData(parameterTool, data);
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; env.execute("xlog compute");
&nbsp;&nbsp;&nbsp; }
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; kafka的连接参数配置：
&nbsp;&nbsp;&nbsp; public static Properties buildKafkaProps(ParameterTool 
parameterTool) {
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; Properties props = 
parameterTool.getProperties();
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
props.put("bootstrap.servers", parameterTool.get(KAFKA_BROKERS, 
DEFAULT_KAFKA_BROKERS));
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
props.put("zookeeper.connect", parameterTool.get(KAFKA_ZOOKEEPER_CONNECT, 
DEFAULT_KAFKA_ZOOKEEPER_CONNECT));
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; props.put("group.id", 
parameterTool.get(KAFKA_GROUP_ID, DEFAULT_KAFKA_GROUP_ID));
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; props.put("key.deserializer", 
"org.apache.kafka.common.serialization.StringDeserializer");
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
props.put("value.deserializer", 
"org.apache.kafka.common.serialization.StringDeserializer");
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; 
props.put("auto.offset.reset", "latest");
&nbsp;&nbsp;&nbsp; return props;
&nbsp;&nbsp;&nbsp; }
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; --
&nbsp;&nbsp;&nbsp; 
&nbsp;&nbsp;&nbsp; Best Wishes
&nbsp;&nbsp;&nbsp; &amp;nbsp;&amp;nbsp; Galen.K