对应不同版本的问题主要有：
2.kafka-connect创建主题中的默认数据格式为 {"schema":{"type":"struct","fields":[{"type":"int32","optional":false,"field":"ID"},{"type":"string","optional":false,"field":"NAME"},{"type":"int64","optional":false,"name":"org.apache.kafka.connect.data.Timestamp","version":1,"f...
2.kafka-connect创建主题中的默认数据格式为 {"schema":{"type":"struct","fields":[{"type":"int32","optional":false,"field":"ID"},{"type":"string","optional":false,"field":"NAME"},{"type":"int64","optional":false,"name":"org.apache.kafka.connect.data.Timestamp","version":1,"f...
Flink CDC 1.13.3 oracle-cdc2.2 数据库Oracle19c遇到的问题 : CPU 使用率非常高 ,见下图经过排查发现: 下面的SQL查询频率非常高 ,每分钟上千次 (任务越多,使用的表越多,越频繁。)SELECT SCN, SQL_REDO, OPERATION_CODE, TIMESTAMP, XID, CSF, TABLE_NAME, SEG_OWNER, OPERATION, USERNAME, ROW_ID, RO...
2.kafka-connect创建主题中的默认数据格式为 {"schema":{"type":"struct","fields":[{"type":"int32","optional":false,"field":"ID"},{"type":"string","optional":false,"field":"NAME"},{"type":"int64","optional":false,"name":"org.apache.kafka.connect.data.Timestamp","...
搜索一下:org.apache.kafka.connect.json.JsonSerializer这个类,竟然在flink-connector-mysql-cdc-1.1.1.jar中找到了这个类,于是去pom文件找kafka相关包,最终找到是由于flink-connector-kafka-0.11_2.11的原因引起。 <dependency><groupId>org.apache.flink</groupId><artifactId>flink-connector-kafka-0.11_2.11</art...
Typical installations of Flink and Kafka start with event streams being pushed to Kafka, which can be consumed by Flink jobs. Azure Event Hubs provides an Apache Kafka endpoint on an event hub, which enables users to connect to the event hub using the Kafka protocol....
实时计算处理中,kafka是重要的分布式消息队列,常作为 Flink 计算的输入和输出,本博客将使用 Flink 1.2实现 kafka 对数据的输入和输出操作。 资料 官方Flink 1.12 Table API&SQL kafka操作文档地址 过程 从kafka:input...flink 热词统计(2): 使用Kafka 前言 本篇文章将引入Kafka 0.11,实现真正的实时流计算 改造 ...
expansion_service=kafka_process_expansion_service ) ) if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO) run() But I got stuck with ERROR below: INFO org.apache.flink.runtime.taskexecutor.TaskExecutor [] - Receive ...
例如您正则表达式mydb.users_\d{3}去监控mydb数据库下users_001，users_002，……， users_999这些...