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Maciej Obuchowski commented on FLINK-31275: ------------------------------------------- [~zjureel] I think this is a step in the right direction. For `StreamingFacet`, if the intention is to attach it to connectors interfacing with services like Kafka, Kinesis, Pulsar, PubSub then I believe it needs ability to describe multiple topics - since, at least for Kafka, you can read from either list of topics or wildcard pattern. The same for `SchemaFacet` - the topics can have different schema. The way that OpenLineage deals with this - and Flink could do too - is associating those with concept of `Dataset`, rather than job itself. So, we'd have roughly public interface LineageVertex { /* List of input (for source) or output (for sink) datasets interacted with by the connector */ List<Dataset> datasets; /* Facets for the lineage vertex to describe the general information of source/sink. */ Map<String, Facet> facets; /* Config for the lineage vertex contains all the options for the connector. */ Map<String, String> config; } public interface Dataset { /* Name for this particular dataset. */ String name; /* Unique name for this dataset's datasource. */ String namespace; /* Facets for the lineage vertex to describe the particular information of dataset. */ Map<String, Facet> facets; } > Flink supports reporting and storage of source/sink tables relationship > ----------------------------------------------------------------------- > > Key: FLINK-31275 > URL: https://issues.apache.org/jira/browse/FLINK-31275 > Project: Flink > Issue Type: Improvement > Components: Table SQL / Planner > Affects Versions: 1.18.0 > Reporter: Fang Yong > Assignee: Fang Yong > Priority: Major > > FLIP-314 has been accepted > https://cwiki.apache.org/confluence/display/FLINK/FLIP-314%3A+Support+Customized+Job+Lineage+Listener -- This message was sent by Atlassian Jira (v8.20.10#820010)