我正在尝试在启动时将 LinkedMDB(6.1m 三元组)导入我的本地版本的 jena-fuseki:
/path/to/fuseki-server --file=/path/to/linkedmdb.nt /ds
运行一分钟,然后死于以下错误:
Exception in thread "main" java.lang.OutOfMemoryError: GC overhead limit exceeded
at com.hp.hpl.jena.graph.Node$3.construct(Node.java:318)
at com.hp.hpl.jena.graph.Node.create(Node.java:344)
at com.hp.hpl.jena.graph.NodeFactory.createURI(NodeFactory.java:48)
at org.apache.jena.riot.system.RiotLib.createIRIorBNode(RiotLib.java:80)
at org.apache.jena.riot.system.ParserProfileBase.createURI(ParserProfileBase.java:107)
at org.apache.jena.riot.system.ParserProfileBase.create(ParserProfileBase.java:156)
at org.apache.jena.riot.lang.LangNTriples.tokenAsNode(LangNTriples.java:97)
at org.apache.jena.riot.lang.LangNTriples.parseOne(LangNTriples.java:90)
at org.apache.jena.riot.lang.LangNTriples.runParser(LangNTriples.java:54)
at org.apache.jena.riot.lang.LangBase.parse(LangBase.java:42)
at org.apache.jena.riot.RDFParserRegistry$ReaderRIOTFactoryImpl$1.read(RDFParserRegistry.java:142)
at org.apache.jena.riot.RDFDataMgr.process(RDFDataMgr.java:818)
at org.apache.jena.riot.RDFDataMgr.parse(RDFDataMgr.java:679)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:211)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:104)
at org.apache.jena.fuseki.FusekiCmd.processModulesAndArgs(FusekiCmd.java:251)
at arq.cmdline.CmdArgModule.process(CmdArgModule.java:51)
at arq.cmdline.CmdMain.mainMethod(CmdMain.java:100)
at arq.cmdline.CmdMain.mainRun(CmdMain.java:63)
at arq.cmdline.CmdMain.mainRun(CmdMain.java:50)
at org.apache.jena.fuseki.FusekiCmd.main(FusekiCmd.java:141)
有没有办法提高内存限制或以不太密集的方式导入数据?
为了比较,当我使用一个 100 万的三重源文件时,它的导入时间不到 10 秒。
最佳答案
增加堆内存,java -Xmx2048M -jar fuseki-sys.jar ......
用编辑器打开fuseki-server你会发现JVM_ARGS=${JVM_ARGS:--Xmx1200M}
行修改为JVM_ARGS=${JVM_ARGS:--Xmx2048M}
关于java - 数据导入期间超出 Fuseki GC 开销限制,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/21197198/