Github user pnowojski commented on a diff in the pull request:
https://github.com/apache/flink/pull/5977#discussion_r187646041
--- Diff:
flink-core/src/main/java/org/apache/flink/api/common/functions/RuntimeContext.java
---
@@ -71,6 +71,17 @@
@PublicEvolving
MetricGroup getMetricGroup();
+ /**
+ * Returned value is guaranteed to be unique between operators within
the same job and to be
+ * stable and the same across job submissions.
+ *
+ * <p>This operation is currently only supported in Streaming
(DataStream) contexts.
+ *
+ * @return String representation of the operator's unique id.
+ */
+ @PublicEvolving
+ String getOperatorUniqueID();
--- End diff --
Probably better solution from the perspective of this particular use case,
but do the UDF's have an access to `StreamingRuntimeContext`? If not, casting
requirement would be huge blocker for any users from using this, thus making
this almost a private API.
However I do not mind one way or the other.
PS, There are already operations/methods that do not work in streaming/batch
---
