davidradl commented on code in PR #26396:
URL: https://github.com/apache/flink/pull/26396#discussion_r2027100263
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docs/content.zh/docs/dev/table/functions/ptfs.md:
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@@ -708,6 +708,80 @@ class CountingFunction extends
ProcessTableFunction<String> {
{{< /tab >}}
{{< /tabs >}}
+### Large State
+
+Flink's state backends provide different types of state to efficiently handle
large state.
+
+Currently, PTFs support three types of state:
+
+- **Value state**: Represents a single value.
+- **List state**: Represents a list of values, supporting operations like
appending, removing, and iterating.
+- **Map state**: Represents a map (key-value pair) for efficient lookups,
modifications, and removal of individual entries.
+
+By default, state entries in a PTF are represented as value state. This means
that every state entry is fully read from
+the state backend when the evaluation method is called, and the value is
written back to the state backend once the
+evaluation method finishes.
+
+To optimize state access and avoid unnecessary (de)serialization, state
entries can be declared as:
+- `org.apache.flink.table.api.dataview.ListView` (for list state)
+- `org.apache.flink.table.api.dataview.MapView` (for map state)
+
+These provide direct views to the underlying Flink state backend.
+
+For example, when using a `MapView`, accessing a value via `MapView#get` will
only deserialize the value associated with
+the specified key. This allows for efficient access to individual entries
without needing to load the entire map. This
+approach is particularly useful when the map does not fit entirely into memory.
+
+{{< hint info >}}
+State TTL is applied individually to each entry in a list or map, allowing for
fine-grained expiration control over state
+elements.
+{{< /hint >}}
+
+{{< tabs "1837eeed-3d13-455c-8e2f-5e164da9f844" >}}
+{{< tab "Java" >}}
+```java
Review Comment:
I see this is example java code - but was hoping for a title or some
preceding words to give some context, maybe explaining the value of the anomaly
processing in the event history per user
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