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Posted to issues@flink.apache.org by "Hongshun Wang (Jira)" <ji...@apache.org> on 2026/05/22 09:01:00 UTC
[jira] [Created] (FLINK-39732) Introduce TableDiscoverer SPI for flexible table subscription (with default JdbcTableDiscoverer)
Hongshun Wang created FLINK-39732:
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Summary: Introduce TableDiscoverer SPI for flexible table subscription (with default JdbcTableDiscoverer)
Key: FLINK-39732
URL: https://issues.apache.org/jira/browse/FLINK-39732
Project: Flink
Issue Type: Improvement
Components: Flink CDC
Affects Versions: cdc-3.5.0
Reporter: Hongshun Wang
Fix For: cdc-3.6.0
h3. Background
Currently, Flink CDC only supports subscribing to source tables via a pattern (regex/glob) syntax. While this works well in many cases, it is not flexible enough for users who want to dynamically discover the tables to capture from the source database itself — for example, by querying the catalog of a PostgreSQL or MySQL instance, filtering by tags/owners, or applying business-specific selection rules.
h3. Motivation
* Users often want to subscribe to "all tables in database X that match some runtime condition", which cannot be expressed cleanly with a static pattern.
* Different databases (MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, etc.) and different organizations have different rules for what "the right set of tables" means.
* A pluggable discovery layer would let users (and connector authors) extend subscription behavior without touching CDC core code.
h3. Proposal
Introduce a new SPI: TableDiscoverer, responsible for resolving the concrete list of tables the CDC job should capture at job startup (and, optionally, periodically for newly created tables).
public interface TableDiscoverer extends Serializable \{
/** Identifier used in connector options, e.g. "pattern", "jdbc", "custom-x". */
String identifier(); /** Discover tables based on user configuration and source connection info. */
List<TableId> discover(TableDiscoveryContext context);
}
h3. Default implementation: JdbcTableDiscoverer
A built-in JdbcTableDiscoverer gives MySQL, PostgreSQL, Oracle, SQL Server, etc. a sensible default discovery strategy out of the box, while still letting each dialect override edge cases (e.g., PostgreSQL publication filtering, MySQL information_schema shortcuts).
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