LadyForest commented on code in PR #159: URL: https://github.com/apache/flink-table-store/pull/159#discussion_r898755770
########## docs/content/_index.md: ########## @@ -24,16 +24,13 @@ under the License. # Apache Flink Table Store -Flink Table Store is a unified streaming and batch store for building dynamic -tables on Apache Flink. It is designed to be the best connector to Flink as -the storage for streaming warehouse. It uses a full Log-Structured Merge-Tree -(LSM) structure for high speed and large amount of data update & query capability. - -Flink Table Store supports the following usage: -- **Streaming Insert**: Write changelog streams, including CDC from database and streams. -- **Batch Insert**: Write batch data as offline warehouse, including OVERWRITE support. -- **Batch/OLAP Query**: Read snapshot of the storage, efficient querying of real-time data. -- **Streaming Query**: Read changes of the storage, ensure exactly-once consistency. +Flink Table Store is a unified storage to build dynamic tables for both streaming and +batch processing in Flink, supporting high speed data ingestion and timely data query. +Table Store offers the following core capabilities: +- Support storage of large datasets and allows read / write in both batch and streaming manner. +- Support streaming queries with minimum latency down to milliseconds. +- Support Batch/OLAP queries with minimum latency down to the second level. +- Support incremental snapshots for stream consumption by default. So users don’t need to solve the problem of combining different stores by themselves. Review Comment: ```suggestion - Support incremental snapshots for stream consumption by default. So users do not need to combine different pipelines by themself. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
