sjwiesman commented on a change in pull request #14932:
URL: https://github.com/apache/flink/pull/14932#discussion_r583088569
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File path: docs/content/docs/ops/state/checkpoints.md
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@@ -35,6 +35,64 @@ the same semantics as a failure-free execution.
See [Checkpointing]({{< ref
"docs/dev/datastream/fault-tolerance/checkpointing" >}}) for how to enable and
configure checkpoints for your program.
+## Checkpoint Storage
+
+When checkpointing is activated, such state is persisted upon checkpoints to
guard against data loss and recover consistently.
+Where the state is persisted upon checkpoints depends on the chosen
**Checkpoint Storage**.
+
+## Available State Backends
+
+Out of the box, Flink bundles these checkpoint storage types:
+
+ - *JobManagerCheckpointStorage*
+ - *FileSystemCheckpointStorage*
+
+{{< hint info >}}
+If a checkpoint directory is configured `FileSystemCheckpointStorage` will be
used, otherwise the system will use the `JobManagerCheckpointStorage`.
+{{< /hint >}}
+
+### The JobManagerCheckpointStorage
+
+The *JobManagerCheckpointStorage* stores checkpoint snapshots on in the
JobManager heap.
+
+holds data internally as objects on the Java heap. Key/value state and window
operators hold hash tables
+that store the values, triggers, etc.
+
+Upon checkpoints, this state backend will snapshot the state and send it as
part of the checkpoint acknowledgement messages to the
+JobManager, which stores it on its heap as well.
+
+The MemoryStateBackend can be configured to fail the checkpoint if it goes
over a certain size to avoid `OutOfMemoryError`'s on the JobManager. To set
this feature, users can instantiate a `JobManagerCheckpointStorage` with the
corresponding max size:
+
+```java
+new JobManagerCheckpointStorage(MAX_MEM_STATE_SIZE);
+```
+
+Limitations of the JobManagerCheckpointStorage:
+
+ - The size of each individual state is by default limited to 5 MB. This
value can be increased in the constructor of the JobManagerCheckpointStorage.
+ - Irrespective of the configured maximal state size, the state cannot be
larger than the akka frame size (see [Configuration]({{< ref
"docs/deployment/config" >}})).
+ - The aggregate state must fit into the JobManager memory.
+
+The JobManagerCheckpointStorage is encouraged for:
+
+ - Local development and debugging
+ - Jobs that do hold little state, such as jobs that consist only of
record-at-a-time functions (Map, FlatMap, Filter, ...). The Kafka Consumer
requires very little state.
Review comment:
Good point
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