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https://issues.apache.org/jira/browse/TIKA-2520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16489163#comment-16489163
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ASF GitHub Bot commented on TIKA-2520:
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mbaechler opened a new pull request #237: TIKA-2520 optimize
OptimaizeLangDetector default loadModel()
URL: https://github.com/apache/tika/pull/237
When using tika-server, every single call triggers loadModel and
this method is very CPU intensive.
Optimaize uses immutable objects so we can easily reuse the
default model when no configuration is provided, it's a
20x improvement for my workload.
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> OptimaizeLangDetector#loadModels() should not be called for every single
> langdetect HTTP request
> ------------------------------------------------------------------------------------------------
>
> Key: TIKA-2520
> URL: https://issues.apache.org/jira/browse/TIKA-2520
> Project: Tika
> Issue Type: Improvement
> Components: server
> Affects Versions: 1.16
> Reporter: Vincent van Donselaar
> Priority: Minor
> Labels: performance
> Original Estimate: 2h
> Remaining Estimate: 2h
>
> Tika REST server's `/language` resource invokes the relatively heavy
> `loadModels` operation for every language detect call:
> {code:title=LanguageResource.java}
> public String detect(final String string) throws IOException {
> LanguageResult language = new
> OptimaizeLangDetector().loadModels().detect(string);
> String detectedLang = language.getLanguage();
> LOG.info("Detecting language for incoming resource: [{}]",
> detectedLang);
> return detectedLang;
> }
> {code}
> This could be optimized by (lazy?) loading the models only once and keep them
> in memory. I assume the `LanguageDetector` is not thread safe, so I expect
> this requires an ExecutorService with language detectors.
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