Github user StephanEwen commented on a diff in the pull request:
https://github.com/apache/flink/pull/5977#discussion_r187640541
--- 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 --
Rather than adding this here and failing for *DataSet* programs, hoe about
adding this to `StreamingRuntimeContext` and casting inside the Kafka Producer?
Not super pretty, but nicer than having something that looks like a pretty
generic concept (operator id) throwing an exception in a whole class of
programs (batch jobs). This problem should go away anyways with the batch /
streaming unification later.
---
