infoverload commented on a change in pull request #17260:
URL: https://github.com/apache/flink/pull/17260#discussion_r707412562
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File path: docs/content/docs/dev/table/concepts/overview.md
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@@ -32,6 +32,79 @@ This means that Table API and SQL queries have the same
semantics regardless whe
The following pages explain concepts, practical limitations, and
stream-specific configuration parameters of Flink's relational APIs on
streaming data.
+State Management
+----------------
+
+Table programs that run in streaming mode leverage all capabilities of Flink
as a stateful stream
+processor.
+
+In particular, a table program can be configured with a [state backend]({{<
ref "docs/ops/state/state_backends" >}})
+and various [checkpointing options]({{< ref
"docs/dev/datastream/fault-tolerance/checkpointing" >}})
+for handling large amounts of state and fault tolerance. It is possible to
take a savepoint of a running
+Table API & SQL pipeline and to restore the application's state at later point
in time.
+
+### State Usage
+
+Due to the declarative nature of Table API & SQL program, it is not always
obvious where and how much
+state is used within a table pipeline. The planner decides about when state is
necessary to compute a correct
+result. A pipeline is optimized to claim as little state as possible given the
current set of optimizer
+rules.
+
+{{< hint info >}}
+Source tables are never kept entirely in state. This depends on the used
operations.
+{{< /hint >}}
+
+Simple `SELECT ... FROM ... WHERE` queries that only consist of field
projections or filters are usually
+stateless pipelines. However, operations such as joins, aggregations, or
deduplications require to keep
+intermediate results in a fault tolerant storage for which Flink's state
abstractions are used.
Review comment:
```suggestion
Queries such as `SELECT ... FROM ... WHERE` that only consist of field
projections or filters are usually
stateless pipelines. However, operations such as joins, aggregations, or
deduplications require keeping
intermediate results in a fault-tolerant storage for which Flink's state
abstractions are used.
```
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