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Table of Contents

DRAFT

Current state: Under Discussion: Merged

Voting thread: here

Discussion thread: here [Change the link from the KIP proposal email archive to your own email thread]

JIRA:

Jira
serverASF JIRA
serverId5aa69414-a9e9-3523-82ec-879b028fb15b
keyKAFKA-12317
Jira
serverASF JIRA
serverId5aa69414-a9e9-3523-82ec-879b028fb15b
keyKAFKA-14748

Motivation

Kafka Streams enforces a strict non-null-key policy in the DSL across all key-dependent operations (like aggregations and joins).
For left-joins, it makes sense to still accept a `null`, and add the left-hand record with an empty right-hand-side to the result.
SimilarilySimilarly, for outer-joins it makes sense to keep the record.
The defined semantics for  left/outer  join are: keep the stream record if no matching join record was found.
Thus, Kstreams todays Kafka Streams today's behavior is incosistent inconsistent with the defined semantics.

Public Interfaces Proposed Changes

This KIP won't change any public interfaces. However, It it will change the behavior of several stream dsl operators:

  • left KStream-Ktable/GlobalTable
  • left/outer Kstream-Kstream
  • left-foreign-key Ktable-Ktable - allow foreign key to be null.

...

the following:

Operators

  • left join  Kstream-Kstream: no longer drop left records with null-key and call ValueJoiner with 'null' for right value.
  • outer join  Kstream-Kstream: no longer drop left/right records with null-key and call ValueJoiner with 'null' for right/left value.
  • left-foreign-key join Ktable-Ktable: no longer drop left records with null-foreign-key returned by the ForeignKeyExtractor and call ValueJoiner with 'null' for right value.
  • left join KStream-Ktable: no longer drop left records with null-key and call ValueJoiner with 'null' for right value.
  • left join KStream-Ktable/GlobalTable: emits record even when left key is null.no longer drop records when KeyValueMapper returns 'null' and call ValueJoiner with 'null' for right value.

Repartition of null-key records

Currently, repartitioning causes records with 'null'-keys to be dropped.
This behavior needs to be changed.
The above described change in behavior would otherwise not work for topologies with repartitioning.
Going forward, they will be sent to an arbitrary partition.

Compatibility, Deprecation, and Migration Plan

Keeping the old behavior

Users who want to keep the current behavior can prepend a .filter() operator to the aforementioned operators and filter accordingly.E.g.

Examples
//currentleft join Kstream-Kstream
leftStream
.filter((key, value) -> key != null)
.leftJoin(rightStream, (lv, rv) -> join(lv, rv), windows);

//newouter if old behavior is needed
rightStream = rightStreamjoin Kstream-Kstream
rightStream
.filter((key, value) -> key != null);
leftStream
&& value != null);
leftStream.filter((key, value) -> key != null && value != null)
.leftJoin.outerJoin(rightStream, (lv, rv) -> join(lv, rv), windows);

//Both key and value needs to be null checked as current defined behavior for stream-stream join is:
...
*
* If an input record key or value is {@code null} the record will not be included in the join operation and thus no
* output record will be added to the resulting {@code KStream}.
*
...

Why not make this change opt in?
By default we would like the DSL be consistent with the defined semantics.
left-foreign-key join Ktable-Ktable
Function<String, String> foreignKeyExtractor = leftValue -> ...
leftTable
.filter((key, value) -> foreignKeyExtractor.apply(value) != null)
.leftJoin(rightTable, foreignKeyExtractor, (lv, rv) -> join(lv, rv), Named.as("left-foreign-key-table-join"));

//left join Kstream-Ktable
leftStream
.filter((key, value) -> key != null)
.leftJoin(ktable, (k, lv, rv) -> join(lv, rv));

//left join KStream-GlobalTable
KeyValueMapper<String, String, String> keyValueMapper = (k, v) -> ...;
leftStream
.filter((key, value) -> keyValueMapper.apply(key,value) != null)
.leftJoin(globalTable, keyValueMapper, (lv, rv) -> join(lv, rv));
Remarks

Note that the above list of operator examples is not exhaustive.
E.g. There is only one example with a 'ValueJoinerWithKey'. All other examples pass a 'ValueJoiner' into the operator.


We will hint to the DSL users via Java docs that they have now have the option to distinguish between the following scenarios within a KTable-KTable foreign- key-left-join operator:
"null-key" v.s. "not-null-key but null-value" by passing a 'ValueJoinerWithKey' instead of 'ValueJoiner' to the left join operator.
The remark will be made in the Java docs of all left join methods with a 'ValueJoiner' as a parameter.


As part of this KIP the above information on how to keep the old behavior will also be documented here: https://kafka.apache.org/documentation/streams/upgrade-guide
Plus, https://cwiki.apache.org/confluence/display/KAFKA/Kafka+Streams+Join+Semantics and https://kafka.apache.org/35/documentation/streams/developer-guide/dsl-api.html#joining will be updated accordingly.

Why not make this change opt in?

By default we would like the behavior of a stream defined via DSL to be consistent with the defined semanticsPart of this KIP is also to make a Section in the upgrade guide to further elaborate on how the old behavior can be achieved if needed.