On common hardware stores up to 150.000 documents per second,10
billions of documents per day. Big Graphs are loaded in few
milliseconds without executing costly JOIN such as the Relational
DBMSs.

但是,执行以下代码可以显示：插入150000个简单文档需要17000ms.

import com.orientechnologies.orient.core.db.document.ODatabaseDocumentTx;
import com.orientechnologies.orient.core.record.impl.ODocument;

public final class OrientDBTrial {

    public static void main(String[] args) {
        ODatabaseDocumentTx db = new ODatabaseDocumentTx("remote:localhost/foo");
        try {
            db.open("admin","admin");

            long a = System.currentTimeMillis();
            for (int i = 1; i < 150000; ++i) {
                final ODocument foo = new ODocument("Foo");
                foo.field("code",i);
                foo.save();
            }
            long b = System.currentTimeMillis();
            System.out.println(b - a + "ms");

            for (ODocument doc : db.browseClass("Foo")) {
                doc.delete();
            }
        } finally {
            db.close();
        }
    }

}

我的硬件：

> Dell Optiplex 780
> Intel(R)Core(TM)2 Duo cpu E7500 @ 2.93Ghz
> 8GB RAM
> Windows 7 64位

我究竟做错了什么？

在10个并发线程中分割保存以最大限度地减少Java的开销,使其运行在大约13000ms.仍然远远低于OrientDB首页所说的.