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UID:SESS-207@sf26-agenda
DTSTAMP:20261020T151709Z
DTSTART:20261105T183000Z
DTEND:20261105T191500Z
SUMMARY:Introducing the Flink State Catalog: A New Era in State Observabili
 ty
LOCATION:Room 2002
DESCRIPTION:Gyula Fora\n\nStateful stream processing is one of Apache Flink
 ’s defining capabilities\, yet inspecting and understanding application 
 state remains difficult. Queryable State and the State Processor API addre
 ssed parts of this problem\, but relied on tightly coupled programmatic AP
 Is\, application-specific code\, and access to the original job artifacts.
  The State Catalog introduces a new approach: representing Flink applicati
 on state through a clean\, read-only Flink SQL abstraction. It automatical
 ly discovers checkpoints and savepoints\, infers their schemas\, and expos
 es keyed\, windowed\, and operator state—along with state metadata—as 
 relational tables. Crucially\, users can explore and query state without d
 eploying the original application or requiring its JARs on the classpath. 
 In this session\, we will walk through the State Catalog’s architecture\
 , including snapshot discovery\, schema inference\, state-to-table mapping
 s\, and class-independent deserialization. Through practical examples\, we
  will demonstrate how it enables SQL-based inspection and debugging of rea
 l-world stateful streaming applications.
URL:https://sf26.rmoff.net/s/introducing-the-flink-state-catalog-a-new-era-
 in-state-207
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