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https://issues.apache.org/jira/browse/KAFKA-8037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17035215#comment-17035215
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Patrik Kleindl commented on KAFKA-8037:
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[~ableegoldman] Interesting proposal.
At 2. you mean "with_out_ deserializing", right?
One question for me would be how you would remove records from the
inverse-changelog in case a good records is received after a bad one. Otherwise
the good one would be loaded and removed afterwards. Unless you do some extra
timestamp-checking etc.
And if I understand it correctly this would only work for problems with value
deserialization, not if the key is affected, which is rare but possible.
> KTable restore may load bad data
> --------------------------------
>
> Key: KAFKA-8037
> URL: https://issues.apache.org/jira/browse/KAFKA-8037
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Matthias J. Sax
> Priority: Minor
> Labels: pull-request-available
>
> If an input topic contains bad data, users can specify a
> `deserialization.exception.handler` to drop corrupted records on read.
> However, this mechanism may be by-passed on restore. Assume a
> `builder.table()` call reads and drops a corrupted record. If the table state
> is lost and restored from the changelog topic, the corrupted record may be
> copied into the store, because on restore plain bytes are copied.
> If the KTable is used in a join, an internal `store.get()` call to lookup the
> record would fail with a deserialization exception if the value part cannot
> be deserialized.
> GlobalKTables are affected, too (cf. KAFKA-7663 that may allow a fix for
> GlobalKTable case). It's unclear to me atm, how this issue could be addressed
> for KTables though.
> Note, that user state stores are not affected, because they always have a
> dedicated changelog topic (and don't reuse an input topic) and thus the
> corrupted record would not be written into the changelog.
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