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Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
配置DIS Spark Streaming依赖 项目中可通过以下配置引入DIS Spark Streaming依赖： <dependency> <groupId>com.cloud.dis</groupId> <artifactId>cloud-dis-spark-streaming
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK
配置DIS Flink Connector依赖 项目中可通过以下配置引入DIS Flink Connector依赖： <dependency> <groupId>com.cloud.dis</groupId> <artifactId>cloud-dis-flink-connector
${region}.cloud.com ${region} YOU_AK YOU_SK YOU_PROJECTID YOU_STREAM_NAME latest 10 参数顺序与含义在示例代码中有，可以参考。 最终IDEA的配置如下图所示，确认无误后单击“OK”关闭此窗口。
- DLI数据库 单击“选择”，在“选择DLI数据库”窗口选择一个数据库。 此配置项仅支持选择，不可手动输入。 - DLI数据表 单击“选择”，在“选择DLI数据表”窗口选择一个数据表。仅支持数据位置为DLI类型的数据表，且用户需具有该表的插入权限。
${region}.cloud.com agent.sources.dissource.group.id = YOU_APP_NAME # 定义 Channel agent.channels.memoryChannel.type = memory agent.channels.memoryChannel.capacity
云审计服务（Cloud Trace Service，简称CTS） 云审计服务记录DIS相关的操作事件，方便用户日后的查询、审计和回溯。CTS的更多信息，请参见《云审计服务用户指南》。
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