THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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Materialized View in SQL. Next, we hope to introduce materialized view syntax into Flink to improve user interaction experience. Queries can also be optimized based on materialized views to improve performance.
Improve MetaService capabilities. MetaService supports managing Flink ETL jobs and tables in Table Store, accessed by other computing engines such as Spark and being an agent of Hive Metastore later.
Improve OLAP performance. We have created issues in FLINK-25318] Improvement of scheduler and execution for Flink OLAP to manage improvement of OLAP in Flink. At the same time, we hope to continue to enhance the online query capability of Table Store and improve the OLAP performance of Flink + Table Store.
Improvement of data real-time. At present, our consistency design is based on Flink checkpoint mechanism and supports minute level delay. In the future, we will hope we hope to support second level or even millisecond level data real-time on the premise of ensuring data consistency.
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