You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Jingsong Lee (Jira)" <ji...@apache.org> on 2022/07/20 03:13:00 UTC
[jira] [Closed] (FLINK-27307) Flink table store support append-only ingestion without primary keys.
[ https://issues.apache.org/jira/browse/FLINK-27307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jingsong Lee closed FLINK-27307.
--------------------------------
Resolution: Fixed
> Flink table store support append-only ingestion without primary keys.
> ---------------------------------------------------------------------
>
> Key: FLINK-27307
> URL: https://issues.apache.org/jira/browse/FLINK-27307
> Project: Flink
> Issue Type: New Feature
> Components: Table Store
> Reporter: Zheng Hu
> Assignee: Zheng Hu
> Priority: Minor
> Labels: pull-request-available
> Fix For: table-store-0.2.0
>
>
> Currently, flink table store only support row data ingestion with defined primary keys. Those tables are quite suitable for maintaining CDC events or flink upsert stream.
> But in fact, there are many real scenarios which don't have the required primary keys. Such as user clicks logs, we only need to maintain those data like a Hive/iceberg table. I mean we don't need to define the primary keys, and we don't need to maintain all those rows into a sorted LSM. We only need to partition those rows into the correct partitions and maintain the basic statistics to speed the query.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)