Closed youngkangrui closed 2 years ago
youngkangrui
commented
4 years ago 我更换到这段代码后，cpu正常，由于我使用hbase存储，hbase的随机写要快于随机读，所以要将读替换成写
sourceVertex = hugeGraph.addVertex(T.label,sourceLabel,sourceKey, sourceValue);
targetVertex = hugeGraph.addVertex(T.label,targetLabel,targetKey,targetValue);
sourceVertex.addEdge(edgeLabel,targetVertex);
hugeGraph.tx().commit();
javeme
commented
4 years ago @youngkangrui 感谢详细的反馈。是的，防止产生随机读是性能优化的关键点。
另外，如果CPU过高时，可以调小缓存大小降低gc压力，比如：
vertex.cache_capacity=10000
edge.cache_capacity=1000
CPJ-data
commented
4 years ago @youngkangrui 大佬你好 程序之前使用gremlin语法查询单个点耗时比较长
2020-03-12 16:15:37 180082579 [gremlin-server-exec-15] [WARN ] org.apache.tinkerpop.gremlin.groovy.jsr223.GremlinGroovyScriptEngine [] - Script compilation g.V().has("eid","e66c7ce822a9ab65f687ab9ef2116b8b") took 12301ms
现在想换成hugeGraph.traversal().V()，看大佬你也是这么操作的，但在操作的时候遇到一点问题不知道怎么搞，就是使用hugegraph-api中hugegraph时，不知道具体参数需要传什么，麻烦大佬帮忙解答一下或者方便的话贴一下大佬你操作hugegraph这块代码参考一下，非常感谢。hugegraph代码如下：
HugeConfig hugeConfig = new HugeConfig(configuration); GraphManager graphManager = new GraphManager(); HugeGraph hugeGraph = graphManager.graph("graph");
youngkangrui
commented
4 years ago @youngkangrui 大佬你好 程序之前使用gremlin语法查询单个点耗时比较长
2020-03-12 16:15:37 180082579 [gremlin-server-exec-15] [WARN ] org.apache.tinkerpop.gremlin.groovy.jsr223.GremlinGroovyScriptEngine [] - Script compilation g.V().has("eid","e66c7ce822a9ab65f687ab9ef2116b8b") took 12301ms
现在想换成hugeGraph.traversal().V()，看大佬你也是这么操作的，但在操作的时候遇到一点问题不知道怎么搞，就是使用hugegraph-api中hugegraph时，不知道具体参数需要传什么，麻烦大佬帮忙解答一下或者方便的话贴一下大佬你操作hugegraph这块代码参考一下，非常感谢。hugegraph代码如下：
HugeConfig hugeConfig = new HugeConfig(configuration); GraphManager graphManager = new GraphManager(); HugeGraph hugeGraph = graphManager.graph("graph");
单点查询时间过长的问题没有遇到过，操作hugeGraph的代码如下
OptionSpace.register("hbase",
"com.baidu.hugegraph.backend.store.hbase.HbaseOptions");
SerializerFactory.register("hbase",
"com.baidu.hugegraph.backend.store.hbase.HbaseSerializer");
BackendProviderFactory.register("hbase",
"com.baidu.hugegraph.backend.store.hbase.HbaseStoreProvider");
PropertiesConfiguration conf = new PropertiesConfiguration();
conf.setDelimiterParsingDisabled(true);
conf.setProperty("backend","hbase");
conf.setProperty("serializer","hbase");
conf.setProperty("hbase.hosts", "192.169.45.10");
conf.setProperty("hbase.port","2181");
conf.setProperty("hbase.znode_parent","/hbase");
conf.setProperty("store","hugegraph");
conf.setProperty("store.graph",tableName);
HugeGraph hugeGraph = HugeFactory.open(conf);
hugeGraph.initBackend();
github-actions[bot]
commented
3 years ago Due to the lack of activity, the current issue is marked as stale and will be closed after 20 days, any update will remove the stale label
cpu飙高期间的stack信息中，最主要的cpu消耗是下面线程的内容：
主要业务功能是先查询节点，在节点之间加入边，对应代码中的是