当我尝试从mysql加载大量数据时，我使用cassandra后端和elasticsearch将每个记录提交到janusgraph，使用8个线程建立索引；
开始时，程序将以每秒280条记录的速度加载；
但当它处理秒数时，它会下降到1~10个记录/秒；
我尝试修改了缓冲区大小、页面大小、块大小、更新百分比等配置，但没有明显改善；
我只是想知道我是否错过了什么，是什么导致了这种情况。。。
下面的代码是我的提交过程，datamap是一个fastjson对象，g是janusgraph遍历源代码；

Long countryId = dataMap.getLong("countryId");

    Long uid = dataMap.getLong("uid");
    String phoneNum = dataMap.getString("phoneNumber");
    String fbId = dataMap.getString("fbId");
    Long createTime = dataMap.getLong("createTime");

    if (uid == null) {
        return;
    }
    Vertex uidVertex = g.addV("uid").next();
    uidVertex.property("uid_code", uid);

    if (createTime != null)
        uidVertex.property("create_time", createTime);
    if (status != null)
        uidVertex.property("status", status);

    g.tx().commit();

    if (phoneNum != null) {
         Vertex phoneVertex = KfkMsgParser.createMerge(g, "phone", "phone_num", phoneNum);

        Edge selfPhone = uidVertex.addEdge("user_phone", phoneVertex);
        selfPhone.property("create_time", bind.of("create_time", dataMap.getLong("createTime")));
        selfPhone.property("uid_code", bind.of("uid_code", uid));
        selfPhone.property("phone_num", bind.of("phone_num", phoneNum));
        g.tx().commit();
    }

    if(fbId != null){
        long endTamp2 = System.currentTimeMillis();
        Vertex fbVertext = KfkMsgParser.createMerge(g, "fb_id", "fb_account",fbId);

        Edge selfFb = uidVertex.addEdge("user_fb",fbVertext);
        if (createTime != null)
            selfFb.property("create_time",bind.of("create_time",createTime));
        g.tx().commit();
    }

以下是createmerge函数：

private static Vertex createMerge(GraphTraversalSource g, String label, String propertyKey, Object propertyValue) {
    Optional<Vertex> vertexOptional = g.V().hasLabel(label).has(propertyKey, propertyValue).tryNext();
    if (vertexOptional.isPresent()) {
        return vertexOptional.get();
    }
    Vertex vertex = g.addV(label).next();
    vertex.property(propertyKey, propertyValue);
    return vertex;
}