Question

我正在试验Kyoto Cabinet HashDB。我的数据库将增长到110 TB。密钥是20字节，值是128 KB。我试图插入大约5亿条记录。这是迄今为止我获得的最佳表现：

时间以秒为单位。 'n'是输入的10000条记录的数量。例如，1万条记录需要1秒。第5万条记录耗时5秒，依此类推。正如您所看到的，在输入大约200万条记录后，性能开始降低。我创建了数据库，其桶号设置为7亿，其他一切都是默认的。我正在使用C / C ++库，并使用db.tune_map(30LL << 30);将内存映射容量设置为30 GB（我有32 GB RAM）。

Inserted 10000 records. n: 1. Time: 1
Inserted 10000 records. n: 2. Time: 1
Inserted 10000 records. n: 3. Time: 1
Inserted 10000 records. n: 4. Time: 1
Inserted 10000 records. n: 5. Time: 4
Inserted 10000 records. n: 6. Time: 4
Inserted 10000 records. n: 7. Time: 4
Inserted 10000 records. n: 8. Time: 4
Inserted 10000 records. n: 9. Time: 4
Inserted 10000 records. n: 10. Time: 4
Inserted 10000 records. n: 11. Time: 4
Inserted 10000 records. n: 12. Time: 4
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Inserted 10000 records. n: 20. Time: 4
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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

有没有办法让每10000条记录的性能线性保持在9-10秒左右？

Answer 1

你的计算集中在关键方面（键是否适合RAM？）。这很重要，但是在达到某个数据库大小（在您的情况下由值侧控制）之后，写入磁盘的值将变得更加与速度相关。我担心在这种情况下你只能优化你的磁盘（任何细节？）。

Answer 2

你也修改了msiz吗？

您是否尝试过较低的bnum参数（类似1或2亿）？

你的文件系统是什么（在我的测试中，ext4的性能远远超过ext3）？

Kyoto Cabinet HashDB插入不是O（1）

2 个答案: