[ https://issues.apache.org/jira/browse/FLINK-8545?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16350548#comment-16350548 ]
Hequn Cheng edited comment on FLINK-8545 at 2/2/18 4:08 PM: ------------------------------------------------------------ Hi, the {{Tuple}} input format is a good choice. It is consistent with the {{UpsertStreamTableSink}}. Yes, upsert stream source should have state so that to generate retract messages. As for the problem of deletes on non-inserted keys, if i understand correctly, do you mean caching the unordered delete message until the corresponding insert message comes? I was think the scenario that only delete messages are ingested. For example, users use flink job to ingest delete messages from a source database and output to a target database. was (Author: hequn8128): Hi, the {{Tuple}} input format is a good choice. It is consistent with the {{UpsertStreamTableSink}}. Yes, upsert stream source should have state so that to generate retract messages. As for the problem of deletes on non-inserted keys, if i understand correctly, do you mean caching the unordered delete message until the corresponding insert message comes? I was think the scenario that only delete messages are ingested. For example, users use flink job to sync delete messages from a source database to a target database. > Implement upsert stream table source > ------------------------------------- > > Key: FLINK-8545 > URL: https://issues.apache.org/jira/browse/FLINK-8545 > Project: Flink > Issue Type: New Feature > Components: Table API & SQL > Reporter: Hequn Cheng > Assignee: Hequn Cheng > Priority: Major > > As more and more users are eager for ingesting data with upsert mode in flink > sql/table-api, it is valuable to enable table source with upsert mode. I will > provide a design doc later and we can have more discussions. Any suggestions > are warmly welcomed ! > -- This message was sent by Atlassian JIRA (v7.6.3#76005)