This topic describes the new and updated features of Realtime Compute for Apache Flink in 2022. This topic also provides relevant links for your reference.

Updates in March 2022

Release date Feature Category Description References
2022-03-04 Fully managed Flink New version Code templates can help you quickly understand the features and related syntax of fully managed Flink and implement your own business logic. This topic describes the usage scenarios for code templates and how to use a code template. Code templates
2022-03-04 Fully managed Flink New version You can use a data synchronization template to quickly generate Flink SQL job code for data synchronization. This topic describes how to use a multi-database multi-table synchronization template or a sharded-data merging template to synchronize data. Data synchronization templates
2022-03-04 Fully managed Flink New version If a job has a risk or is abnormal, you can use the job diagnosis feature to automatically locate the possible causes of the risk or exception. Then, you can quickly restore the job to normal based on the handling suggestions that are provided by fully managed Flink. This topic describes how to use the job diagnosis feature. Job diagnostics
2022-03-04 Fully managed Flink New version On the Deployments page of the console of fully managed Flink, you can quickly view the numbers and lists of normal jobs, abnormal jobs, and jobs that have risks to learn the health status of the jobs in real time. This topic describes how to view the numbers and lists of abnormal jobs and jobs that have risks. View jobs that have risks and abnormal jobs
2022-03-04 Fully managed Flink New version This topic describes how to view the exception logs of a job, including logs of JobManager exceptions, logs of failed TaskManagers, and logs of the TaskManagers on which checkpoints are created at a low speed. View the exception logs of a job
2022-03-04 Fully managed Flink New version If you cannot locate an issue based on the logs at the INFO level, you can change the level of logs to DEBUG. This topic describes how to change the level of logs for a job and provides the related limits and precautions. Change the level of logs for a job
2022-03-04 Fully managed Flink New version These topics provide the DDL syntax that is used to create an AnalyticDB for PostgreSQL result table and the DDL syntax that is used to create an AnalyticDB for PostgreSQL dimension table, describe the parameters in the WITH clause, and provide data type mappings.
2022-03-04 Fully managed Flink New version These topics provide the DDL syntax that is used to create a Faker source table and the DDL syntax that is used to create a Faker dimension table, describe the limits and the parameters in the WITH clause, and provide sample code.
2022-03-04 Fully managed Flink New version The AUTO OPTIMIZE statement can be used to start a streaming optimization task to automatically optimize tables in external data lakes. This topic describes the background information, prerequisites, limits, precautions, basic syntax, and parameter configurations of the AUTO OPTIMIZE statement. AUTO OPTIMIZE statement
2022-03-04 Fully managed Flink New version After you configure a Data Lake Formation (DLF) catalog, you can access the tables of a DLF instance in the console of fully managed Flink. This topic describes how to configure, view, and delete a DLF catalog in the console of fully managed Flink. -

Updates in January 2022

Release date Feature Category Description References
2022-01-25 Fully managed Flink New version This topic describes how the system checks the compatibility between the state data that you select and an SQL job. References for Flink state data compatibility
2022-01-20 Fully managed Flink New version These topics provide the DDL syntax that is used to create a Hudi source table and the DDL syntax that is used to create a Hudi result table, describe the background information, limits, and parameters in the WITH clause, and provide examples.
2022-01-10 Fully managed Flink New version This topic describes how to view the performance of the JobManager and TaskManagers of a job instance, including the central processing unit (CPU) utilization of the JobManager and TaskManagers, and the dynamic memory and thread usage of TaskManagers. View job performance
2022-01-10 Fully managed Flink New version This topic describes how to view the logs of a historical job instance on the Logs tab in the console of fully managed Flink, on Object Storage Service (OSS), or on Log Service. View the logs of a historical job instance
2022-01-10 Fully managed Flink New version This topic describes how to view the logs of a job instance that is running, including startup logs and operational logs. View startup logs and operational logs of a job
2022-01-05 Fully managed Flink New version This topic describes how to configure and reference a variable. After you configure a variable, you can reference the variable in the SQL editor of a job, in the Additional Configuration section of the Advanced tab for the job, or in the Additional Configuration section of the Deployment Defaults page for the job in the console of fully managed Flink. Configure a variable