debezium.connector 设置时区
时间: 2023-08-29 17:10:47 浏览: 52
在Debezium Connector中,可以通过以下两种方式设置时区:
1. 在Connector配置文件中设置时区:
```
{
"name": "my-connector",
"config": {
...
"database.timezone": "America/New_York",
...
}
}
```
2. 在Kafka Connect Worker配置文件中设置时区:
如果要在所有Connector中使用相同的时区,则可以在Kafka Connect Worker配置文件中设置时区。在配置文件中添加以下行:
```
offset.storage.file.timezone=America/New_York
```
注意,以上两种方式设置的时区都是针对offset的,也就是说,它们只影响Debezium的更改事件中的TIMESTAMP和其他时间戳。其他时间戳(如数据库中的时间戳)不受这些设置的影响。
相关问题
flink-connector-mysql-cdc 和 mysql-connector-java 依赖冲突Could not initialize class io.debezium.connector.my
flink-connector-mysql-cdc 是 Flink 的一个连接器,用于从 MySQL 数据库中读取数据并将其转换为 Flink 流处理程序的数据源。而 mysql-connector-java 则是 MySQL 官方提供的 Java 数据库连接驱动,用于连接和操作 MySQL 数据库。
关于依赖冲突的问题,一般来说是由于不同版本的依赖库存在冲突导致的。在这个问题中,可能是 flink-connector-mysql-cdc 和 mysql-connector-java 引用的某些依赖库版本不兼容导致的。可以尝试升级或降级相关依赖库的版本,或者检查是否有其他依赖库冲突导致此问题。
如果您需要更具体的帮助,请提供更多的错误信息以及您正在使用的相关依赖库的版本号。我将尽力帮助您解决这个问题。
debezium-connector-oracle
Debezium Connector for Oracle is a software tool that provides continuous data streaming and change data capture (CDC) capabilities for Oracle databases. It allows users to capture changes to the data in real-time and convert them into a stream of events that can be consumed by other applications, such as Apache Kafka.
The Debezium Connector for Oracle uses Oracle's LogMiner technology to read the database's transaction logs and capture changes as they occur. It supports both on-premises and cloud-based Oracle databases and can be configured to capture changes to specific tables or entire databases.
Some of the benefits of using the Debezium Connector for Oracle include:
- Real-time data streaming: The connector captures changes to data in real-time, allowing other applications to consume the data as soon as it's available.
- Reduced data integration complexity: With the Debezium Connector, users can easily integrate data from Oracle databases into other applications without the need for complex ETL processes.
- Improved data accuracy: By capturing changes to data as they occur, the connector ensures that the data being consumed by other applications is always up-to-date and accurate.
- Lower latency and improved performance: Because the connector captures changes in real-time, it eliminates the need for expensive polling and reduces the latency of data delivery.
- High availability and scalability: The connector is designed to be highly available and scalable, making it suitable for use in large-scale enterprise environments.
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