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我正在试验京都内阁 HashDB。我的数据库将增长到 110 TB。键是 20 字节,值是 128 KB。我正在尝试插入大约 5 亿条记录。这是迄今为止我得到的最好的表现:

时间以秒为单位。'n' 是输入的 10000 条记录的数量。例如,第 10000 条记录需要 1 秒。第 5 条 10000 条记录耗时 5 秒,以此类推。如您所见,在输入大约 200 万条记录后性能开始下降。我创建了存储桶编号设置为 70 亿的数据库,其他一切都是默认设置。我正在使用 C/C++ 库,并将内存映射容量设置为 30 GB(我有 32 GB RAM)db.tune_map(30LL << 30);

Inserted 10000 records. n: 1. Time: 1
Inserted 10000 records. n: 2. Time: 1
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Inserted 10000 records. n: 565. Time: 49
Inserted 10000 records. n: 566. Time: 47
Inserted 10000 records. n: 567. Time: 49
Inserted 10000 records. n: 568. Time: 45
Inserted 10000 records. n: 569. Time: 41
Inserted 10000 records. n: 570. Time: 39
Inserted 10000 records. n: 571. Time: 43
Inserted 10000 records. n: 572. Time: 68
Inserted 10000 records. n: 573. Time: 41
Inserted 10000 records. n: 574. Time: 33
Inserted 10000 records. n: 575. Time: 54
Inserted 10000 records. n: 576. Time: 39
Inserted 10000 records. n: 577. Time: 45
Inserted 10000 records. n: 578. Time: 50
Inserted 10000 records. n: 579. Time: 34
Inserted 10000 records. n: 580. Time: 36
Inserted 10000 records. n: 581. Time: 47
Inserted 10000 records. n: 582. Time: 59
Inserted 10000 records. n: 583. Time: 40
Inserted 10000 records. n: 584. Time: 37
Inserted 10000 records. n: 585. Time: 35
Inserted 10000 records. n: 586. Time: 59
Inserted 10000 records. n: 587. Time: 62
Inserted 10000 records. n: 588. Time: 26
Inserted 10000 records. n: 589. Time: 54
Inserted 10000 records. n: 590. Time: 54
Inserted 10000 records. n: 591. Time: 47
Inserted 10000 records. n: 592. Time: 53
Inserted 10000 records. n: 593. Time: 41
Inserted 10000 records. n: 594. Time: 45
Inserted 10000 records. n: 595. Time: 39
Inserted 10000 records. n: 596. Time: 45
Inserted 10000 records. n: 597. Time: 55
Inserted 10000 records. n: 598. Time: 50
Inserted 10000 records. n: 599. Time: 47
Inserted 10000 records. n: 600. Time: 39
Inserted 10000 records. n: 601. Time: 48
Inserted 10000 records. n: 602. Time: 43
Inserted 10000 records. n: 603. Time: 57
Inserted 10000 records. n: 604. Time: 38
Inserted 10000 records. n: 605. Time: 42
Inserted 10000 records. n: 606. Time: 44
Inserted 10000 records. n: 607. Time: 55
Inserted 10000 records. n: 608. Time: 46
Inserted 10000 records. n: 609. Time: 49
Inserted 10000 records. n: 610. Time: 44
Inserted 10000 records. n: 611. Time: 43
Inserted 10000 records. n: 612. Time: 43
Inserted 10000 records. n: 613. Time: 48
Inserted 10000 records. n: 614. Time: 36
Inserted 10000 records. n: 615. Time: 55
Inserted 10000 records. n: 616. Time: 58
Inserted 10000 records. n: 617. Time: 39

有什么方法可以将性能线性保持在每 10000 条记录大约 9-10 秒?

4

2 回答 2

0

您的计算集中在密钥方面(密钥是否适合 RAM?)。这很重要,但是在达到一定的数据库大小(在您的情况下由值方主导)之后,写入磁盘的值将变得与速度更相关。我担心你只能在这种情况下优化你的磁盘(任何细节?)。

于 2013-04-04T07:59:36.120 回答
0

你也修改了msiz吗?

您是否尝试过较低的 bnum 参数(例如 1 或 20 亿)?

你的文件系统是什么(在我的测试中,ext4 的性能比 ext3 好得多)?

于 2013-04-04T12:53:45.537 回答