Status

Motivation

Overall

Table Store supports streaming and batch data processing, Flink ETL jobs can read data from and write data to Table Store in streaming and batch. Following is the architecture

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Suppose the following case: there's a base table in database, a user creates cascaded views or materialized views Table1, Table2 and Table3 based on it. Then the user executes complex queries on Table1, Table2, and Table3 and the query results are consistent with the base tablestable. When the user creates the three tables in Table Store and incrementally updates data of them by Flink ETL jobs in real-time, these tables can be regarded as materialized views that are incrementally updated in real time. Unfortunately, Flink ETL jobs mainly have four HOWs in this case(general streaming and batch ETL):

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