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From "Ted Yu (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (KAFKA-6168) Connect Schema comparison is slow for large schemas
Date Fri, 03 Nov 2017 23:36:00 GMT

    [ https://issues.apache.org/jira/browse/KAFKA-6168?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16238561#comment-16238561
] 

Ted Yu edited comment on KAFKA-6168 at 11/3/17 11:35 PM:
---------------------------------------------------------

bq. considering having each instance precompute and cache a string or byte[] representation
of all fields

Should this be done for all fields (quite a few) ?
Or just selected fields such as keySchema ?


was (Author: yuzhihong@gmail.com):
Can I work on this ?

> 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
>            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
{{equals}}.
> 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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