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hi, I'm trying to convert a document in JSON-LD to N-triples using rdfpro 0.6 in a fedora 29 machine with 8GB RAM, but I get out-of-memory errors:
% rdfpro '{' @read wn.jsonld , @write out-json-ld.nt '}'
EXECUTION FAILED. Parsing of wn.jsonld failed
eu.fbk.rdfpro.RDFSourceException: Parsing of wn.jsonld failed
at eu.fbk.rdfpro.RDFSources$FileSource$ParseJob.run(RDFSources.java:608)
at eu.fbk.rdfpro.RDFSources$FileSource$2.run(RDFSources.java:494)
at eu.fbk.rdfpro.RDFSources$FileSource.parse(RDFSources.java:516)
at eu.fbk.rdfpro.RDFSources$FileSource.emit(RDFSources.java:416)
at eu.fbk.rdfpro.RDFProcessor$1.emit(RDFProcessor.java:103)
at eu.fbk.rdfpro.RDFProcessors$InjectSourceHandler.inject(RDFProcessors.java:1007)
at eu.fbk.rdfpro.RDFProcessors$InjectSourceHandler.access$000(RDFProcessors.java:925)
at eu.fbk.rdfpro.RDFProcessors$InjectSourceHandler$1.run(RDFProcessors.java:961)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
at java.lang.AbstractStringBuilder.<init>(AbstractStringBuilder.java:68)
at java.lang.StringBuilder.<init>(StringBuilder.java:101)
at org.semarglproject.jsonld.JsonLdParser.unescape(JsonLdParser.java:368)
at org.semarglproject.jsonld.JsonLdParser.processStringChar(JsonLdParser.java:235)
at org.semarglproject.jsonld.JsonLdParser.process(JsonLdParser.java:163)
at org.semarglproject.jsonld.JsonLdParser.process(JsonLdParser.java:42)
at eu.fbk.rdfpro.jsonld.JSONLDParser.parse(JSONLDParser.java:96)
at eu.fbk.rdfpro.RDFSources$FileSource$ParseJob.run(RDFSources.java:600)
... 10 more
hi, I'm trying to convert a document in JSON-LD to N-triples using rdfpro 0.6 in a fedora 29 machine with 8GB RAM, but I get out-of-memory errors:
any idea what could be causing this?
a sample file would be this one: test.jsonld.gz
but github doesn't allow me to attach the original big here (200MB, 30MB compressed)
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