大家好,我有一个flink job, 消费kafka topic A, 然后写到kafka topic B. 当我通过savepoint的方式,重启任务之后,发现topic B中有重复消费的数据。有人可以帮我解答一下吗?谢谢!
My Versions Flink 1.12.4 Kafka 2.0.1 Java 1.8
Core code:
env.enableCheckpointing(300000); env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION); env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);
DataStream dataDS = env.addSource(kafkaConsumer).map(xxx);
tableEnv.createTemporaryView("data_table",dataDS); String sql = "select * from data_table a inner join hive_catalog.dim.dim.project for system_time as of a.proctime as b on a.id = b.id" Table table = tableEnv.sqlQuery(sql); DataStream resultDS = tableEnv.toAppendStream(table, Row.class).map(xx);
// Kafka producer parameter Properties producerProps = new Properties(); producerProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); producerProps.put(ProducerConfig.ACKS_CONFIG, "all"); producerProps.put(ProducerConfig.BUFFER_MEMORY_CONFIG, kafkaBufferMemory); producerProps.put(ProducerConfig.BATCH_SIZE_CONFIG, kafkaBatchSize); producerProps.put(ProducerConfig.LINGER_MS_CONFIG, kafkaLingerMs); producerProps.put(ProducerConfig.TRANSACTION_TIMEOUT_CONFIG, 300000); producerProps.put(ProducerConfig.MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION, "1"); producerProps.put(ProducerConfig.RETRIES_CONFIG, "5"); producerProps.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, "true"); producerProps.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "lz4");
resultDS.addSink(new FlinkKafkaProducer (sinkTopic, new JSONSchema(), producerProps, new FlinkFixedPartitioner<>(), FlinkKafkaProducer.Semantic.EXACTLY_ONCE, 5)) .setParallelism(sinkParallelism);*来自志愿者整理的flink邮件归档
我是通过savepoint的方式重启的,命令如下:
cancel command:
/home/datadev/flink-1.12.2/flink-1.12.2/bin/flink cancel
-yid application_1625497885855_698371
-s hdfs://ztcluster/flink_realtime_warehouse/checkpoint/UserClickLogAll/savepoint
59cf6ccc83aa163bd1e0cd3304dfe06a
print savepoint:
hdfs://ztcluster/flink_realtime_warehouse/checkpoint/UserClickLogAll/savepoint/savepoint-59cf6c-f82cb4317494
restart command:
/home/datadev/flink-1.12.2/flink-1.12.2/bin/flink run
-m yarn-cluster
-yjm 4096 -ytm 4096
-ynm User_Click_Log_Split_All
-yqu syh_offline
-ys 2
-d
-p 64
-s hdfs://ztcluster/flink_realtime_warehouse/checkpoint/UserClickLogAll/savepoint/savepoint-59cf6c-f82cb4317494
-n
-c com.datacenter.etl.ods.common.mobile.UserClickLogAll
/opt/case/app/realtime/v1.0/batch/buryingpoint/paiping/all/realtime_etl-1.0-SNAPSHOT.jar*来自志愿者整理的FLINK邮件归档
版权声明:本文内容由阿里云实名注册用户自发贡献,版权归原作者所有,阿里云开发者社区不拥有其著作权,亦不承担相应法律责任。具体规则请查看《阿里云开发者社区用户服务协议》和《阿里云开发者社区知识产权保护指引》。如果您发现本社区中有涉嫌抄袭的内容,填写侵权投诉表单进行举报,一经查实,本社区将立刻删除涉嫌侵权内容。