[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test-150.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). We start observing this issue, having about 300 thousand characters in a single element ([^test-30.fo]). But the high memory consumption isn't observed when processing 250 thousand characters ([^test-25.fo]). was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). We start observing this issue, having about 300 thousand characters in a single element ([^test-30.fo]). But the high memory consumption isn't observed when processing 250 thousand characters ([^test-25.fo]). > 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-150.fo, > test-25.fo, test-30.fo > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test-150.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). > We start observing this issue, having about 300 thousand characters in a > single element ([^test-30.fo]). But the high memory consumption isn't > observed when processing 250 thousand characters ([^test-25.fo]). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Attachment: (was: test.fo) > 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-150.fo, > test-25.fo, test-30.fo > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). > We start observing this issue, having about 300 thousand characters in a > single element ([^test-30.fo]). But the high memory consumption isn't > observed when processing 250 thousand characters ([^test-25.fo]). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Attachment: test-150.fo > 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-150.fo, > test-25.fo, test-30.fo > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). > We start observing this issue, having about 300 thousand characters in a > single element ([^test-30.fo]). But the high memory consumption isn't > observed when processing 250 thousand characters ([^test-25.fo]). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). We start observing this issue, having about 300 thousand characters in a single element ([^test-30.fo]). But the high memory consumption isn't observed when processing 250 thousand characters ([^test-25.fo]). was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). We start observing this issue when having about 300 thousand characters within a single element. > 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-25.fo, > test-30.fo, test.fo > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). > We start observing this issue, having about 300 thousand characters in a > single element ([^test-30.fo]). But the high memory consumption isn't > observed when processing 250 thousand characters ([^test-25.fo]). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). We start observing this issue when having about 300 thousand characters within a single element. was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{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-25.fo, > test-30.fo, test.fo > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). > We start observing this issue when having about 300 thousand characters > within a single element. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Attachment: test-30.fo test-25.fo > 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-25.fo, > test-30.fo, test.fo > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (FOP-2855) [PATCH] When using letter-spacing and white-space=pre inline elements after multiple spaces are sligthly moved to the right
[ https://issues.apache.org/jira/browse/FOP-2855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16819010#comment-16819010 ] Juan commented on FOP-2855: --- Found out that [^issue_fix.patch]causes this: !issue_after_fix1.png! So added another patch based on the first one. > [PATCH] When using letter-spacing and white-space=pre inline elements after > multiple spaces are sligthly moved to the right > --- > > Key: FOP-2855 > URL: https://issues.apache.org/jira/browse/FOP-2855 > Project: FOP > Issue Type: Bug > Components: layout/inline >Affects Versions: trunk >Reporter: Juan >Assignee: Matthias Reischenbacher >Priority: Trivial > Attachments: issue.png, issue.xml, issue_after_fix1.png, > issue_fix.patch, issue_fix_2.patch, issue_fixed.png > > > Inline elements inside code elements, that use white-space=pre and > letter-spacing > 0 (e.g. 1pt) are slightly moved to the right. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2855) [PATCH] When using letter-spacing and white-space=pre inline elements after multiple spaces are sligthly moved to the right
[ https://issues.apache.org/jira/browse/FOP-2855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Juan updated FOP-2855: -- Attachment: (was: issue_fixed.png) > [PATCH] When using letter-spacing and white-space=pre inline elements after > multiple spaces are sligthly moved to the right > --- > > Key: FOP-2855 > URL: https://issues.apache.org/jira/browse/FOP-2855 > Project: FOP > Issue Type: Bug > Components: layout/inline >Affects Versions: trunk >Reporter: Juan >Assignee: Matthias Reischenbacher >Priority: Trivial > Attachments: issue.png, issue.xml, issue_after_fix1.png, > issue_fix.patch, issue_fix_2.patch, issue_fixed.png > > > Inline elements inside code elements, that use white-space=pre and > letter-spacing > 0 (e.g. 1pt) are slightly moved to the right. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2855) [PATCH] When using letter-spacing and white-space=pre inline elements after multiple spaces are sligthly moved to the right
[ https://issues.apache.org/jira/browse/FOP-2855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Juan updated FOP-2855: -- Attachment: issue_fix_2.patch issue_fixed.png issue.xml issue_after_fix1.png > [PATCH] When using letter-spacing and white-space=pre inline elements after > multiple spaces are sligthly moved to the right > --- > > Key: FOP-2855 > URL: https://issues.apache.org/jira/browse/FOP-2855 > Project: FOP > Issue Type: Bug > Components: layout/inline >Affects Versions: trunk >Reporter: Juan >Assignee: Matthias Reischenbacher >Priority: Trivial > Attachments: issue.png, issue.xml, issue_after_fix1.png, > issue_fix.patch, issue_fix_2.patch, issue_fixed.png > > > Inline elements inside code elements, that use white-space=pre and > letter-spacing > 0 (e.g. 1pt) are slightly moved to the right. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2855) [PATCH] When using letter-spacing and white-space=pre inline elements after multiple spaces are sligthly moved to the right
[ https://issues.apache.org/jira/browse/FOP-2855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Juan updated FOP-2855: -- Attachment: (was: issue.xml) > [PATCH] When using letter-spacing and white-space=pre inline elements after > multiple spaces are sligthly moved to the right > --- > > Key: FOP-2855 > URL: https://issues.apache.org/jira/browse/FOP-2855 > Project: FOP > Issue Type: Bug > Components: layout/inline >Affects Versions: trunk >Reporter: Juan >Assignee: Matthias Reischenbacher >Priority: Trivial > Attachments: issue.png, issue.xml, issue_after_fix1.png, > issue_fix.patch, issue_fix_2.patch, issue_fixed.png > > > Inline elements inside code elements, that use white-space=pre and > letter-spacing > 0 (e.g. 1pt) are slightly moved to the right. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2855) [PATCH] When using letter-spacing and white-space=pre inline elements after multiple spaces are sligthly moved to the right
[ https://issues.apache.org/jira/browse/FOP-2855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Juan updated FOP-2855: -- Attachment: (was: issue.png) > [PATCH] When using letter-spacing and white-space=pre inline elements after > multiple spaces are sligthly moved to the right > --- > > Key: FOP-2855 > URL: https://issues.apache.org/jira/browse/FOP-2855 > Project: FOP > Issue Type: Bug > Components: layout/inline >Affects Versions: trunk >Reporter: Juan >Assignee: Matthias Reischenbacher >Priority: Trivial > Attachments: issue.png, issue.xml, issue_after_fix1.png, > issue_fix.patch, issue_fix_2.patch, issue_fixed.png > > > Inline elements inside code elements, that use white-space=pre and > letter-spacing > 0 (e.g. 1pt) are slightly moved to the right. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2855) [PATCH] When using letter-spacing and white-space=pre inline elements after multiple spaces are sligthly moved to the right
[ https://issues.apache.org/jira/browse/FOP-2855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Juan updated FOP-2855: -- Attachment: issue.png > [PATCH] When using letter-spacing and white-space=pre inline elements after > multiple spaces are sligthly moved to the right > --- > > Key: FOP-2855 > URL: https://issues.apache.org/jira/browse/FOP-2855 > Project: FOP > Issue Type: Bug > Components: layout/inline >Affects Versions: trunk >Reporter: Juan >Assignee: Matthias Reischenbacher >Priority: Trivial > Attachments: issue.png, issue.png, issue.xml, issue_fix.patch, > issue_fixed.png > > > Inline elements inside code elements, that use white-space=pre and > letter-spacing > 0 (e.g. 1pt) are slightly moved to the right. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very high memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very high memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 million {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. The 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (~1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 million > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 millions {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. The 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 millions > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb). -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 millions {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. The 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 millions > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. The heapdump shows 27.5 millions {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. A heapdump shows 27.5 millions {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) !image-2019-04-16-10-07-53-502.png|thumbnail! > 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. > The heapdump shows 27.5 millions > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. A heapdump shows 27.5 millions {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) !image-2019-04-16-10-07-53-502.png|thumbnail! was: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. > A heapdump shows 27.5 millions > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) > !image-2019-04-16-10-07-53-502.png|thumbnail! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. For instance, transforming a document with {{}} containing 1.5 million characters (.fo is about 1.5Mb [^test.fo]) 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. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with {{}} 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > For instance, transforming a document with {{}} containing 1.5 > million characters (.fo is about 1.5Mb [^test.fo]) requires about 3Gb of RAM. > A heapdump shows 27.5 millions > {{org.apache.fop.layoutmgr.BreakingAlgorithm.KnuthNode}} (~2.6Gb) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with {{}} 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. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with {{}} 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > Transforming a document with {{}} 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Attachment: test.fo > 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. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > Transforming a document with {{}} 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with {{}} 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. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with {{}} 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 > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > Transforming a document with {{}} 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. {{}}) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with {{}} 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. ) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with 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 > > > when a single element (e.g. {{}}) contains a sufficiently large > amount of text, the fo-to-pdf transformation causes very large memory > consumption. > Transforming a document with {{}} 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Description: when a single element (e.g. ) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with 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. ) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with 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) !image-2019-04-16-10-07-53-502.png! > 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 > > > when a single element (e.g. ) contains a sufficiently large amount > of text, the fo-to-pdf transformation causes very large memory consumption. > Transforming a document with 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FOP-2860) BreakingAlgorithm causes high memory consumption
[ https://issues.apache.org/jira/browse/FOP-2860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raman Katsora updated FOP-2860: --- Attachment: image-2019-04-16-10-07-53-502.png > 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 > > > when a single element (e.g. ) contains a sufficiently large amount > of text, the fo-to-pdf transformation causes very large memory consumption. > Transforming a document with 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Created] (FOP-2860) BreakingAlgorithm causes high memory consumption
Raman Katsora created FOP-2860: -- Summary: 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 when a single element (e.g. ) contains a sufficiently large amount of text, the fo-to-pdf transformation causes very large memory consumption. Transforming a document with 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) -- This message was sent by Atlassian JIRA (v7.6.3#76005)