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https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Raman Katsora updated FOP-2860:
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Description:
when a single element (e.g. {{<fo:block>}}) contains a sufficiently large
amount of text, the fo-to-pdf transformation causes very large memory
consumption.
Transforming a document with {{<fo:block>}} containing 1.5 million characters
(.fo is about 1.5Mb) requires about 3Gb of RAM.
A heapdump shows 27.5 millions
{{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb)
was:
when a single element (e.g. {{<fo:block>}}) contains a sufficiently large
amount of text, the fo-to-pdf transformation causes very large memory
consumption.
Transforming a document with {{<fo:block>}} containing 1.5 million characters
(.fo is about 1.5Mb) requires about 3Gb of RAM.
A heapdump shows 27.5 millions
{{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb)
> BreakingAlgorithm causes high memory consumption
> ------------------------------------------------
>
> Key: FOP-2860
> URL: https://issues.apache.org/jira/browse/FOP-2860
> Project: FOP
> Issue Type: Bug
> Affects Versions: 2.3
> Reporter: Raman Katsora
> Priority: Critical
> Attachments: image-2019-04-16-10-07-53-502.png, test.fo
>
>
> when a single element (e.g. {{<fo:block>}}) contains a sufficiently large
> amount of text, the fo-to-pdf transformation causes very large memory
> consumption.
> Transforming a document with {{<fo:block>}} containing 1.5 million characters
> (.fo is about 1.5Mb) requires about 3Gb of RAM.
> A heapdump shows 27.5 millions
> {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb)
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