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From Loïc Monney (JIRA) <j...@apache.org>
Subject [jira] [Commented] (KAFKA-6168) Connect Schema comparison is slow for large schemas
Date Tue, 14 Nov 2017 22:17:00 GMT

    [ https://issues.apache.org/jira/browse/KAFKA-6168?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16252532#comment-16252532

Loïc Monney commented on KAFKA-6168:

Hello [~rhauch],
First, thank you very much for creating this issue and helping us :)
I created this morning an issue in the schema-registry (https://github.com/confluentinc/schema-registry/issues/665)
that illustrates the problems you mentioned above with the maps and the significant usages
of `hashCode` and `equals`.

> Connect Schema comparison is slow for large schemas
> ---------------------------------------------------
>                 Key: KAFKA-6168
>                 URL: https://issues.apache.org/jira/browse/KAFKA-6168
>             Project: Kafka
>          Issue Type: Improvement
>          Components: KafkaConnect
>    Affects Versions: 1.0.0
>            Reporter: Randall Hauch
>            Assignee: Ted Yu
>            Priority: Critical
>         Attachments: 6168.v1.txt
> The {{ConnectSchema}} implementation computes the hash code every time its needed, and
{{equals(Object)}} is a deep equality check. This extra work can be expensive for large schemas,
especially in code like the {{AvroConverter}} (or rather {{AvroData}} in the converter) that
uses instances as keys in a hash map that then requires significant use of {{hashCode}} and
> The {{ConnectSchema}} is an immutable object and should at a minimum precompute the hash
code. Also, the order that the fields are compared in {{equals(...)}} should use the cheapest
comparisons first (e.g., the {{name}} field is one of the _last_ fields to be checked). Finally,
it might be worth considering having each instance precompute and cache a string or byte[]
representation of all fields that can be used for faster equality checking.

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