History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"manufacture"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 805 | 2025-09-01 23:29:18 | manufacture | 2 | 86808 | 7 | 2.093 | 41475.4 |
| 804 | 2025-09-01 19:01:58 | manufacture | 3 | 121633 | 13 | 5.033 | 24167.1 |
| 803 | 2025-08-15 06:00:22 | manufacture | 3 | 121633 | 13 | 13.156 | 9245.4 |
| 802 | 2025-08-10 23:35:18 | manufacture | 1 | 49908 | 4 | 1.720 | 29016.3 |
| 801 | 2025-08-01 12:03:45 | manufacture | 1 | 49908 | 4 | 5.280 | 9452.3 |
| 800 | 2025-07-30 23:07:43 | manufacture | 3 | 121633 | 13 | 12.920 | 9414.3 |
| 799 | 2025-07-25 16:05:13 | manufacture | 1 | 49908 | 4 | 1.970 | 25334.0 |
| 798 | 2025-07-24 11:58:01 | manufacture | 1 | 49908 | 4 | 3.610 | 13824.9 |
| 797 | 2025-07-23 14:39:01 | manufacture | 1 | 49908 | 4 | 2.410 | 20708.7 |
| 796 | 2025-07-18 23:08:36 | manufacture | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 795 | 2025-07-16 19:46:01 | manufacture | 1 | 49908 | 4 | 1.983 | 25167.9 |
| 794 | 2025-07-16 01:34:55 | manufacture | 1 | 49908 | 4 | 0.843 | 59202.8 |
| 793 | 2025-07-01 10:19:54 | manufacture | 1 | 49908 | 4 | 0.846 | 58992.9 |
| 792 | 2025-06-29 22:44:12 | manufacture | 1 | 49908 | 4 | 5.156 | 9679.6 |
| 791 | 2025-06-28 04:04:36 | manufacture | 1 | 49908 | 4 | 4.330 | 11526.1 |
| 790 | 2025-06-04 16:06:40 | manufacture | 1 | 49908 | 4 | 5.406 | 9232.0 |
| 789 | 2025-05-28 15:38:09 | manufacture | 1 | 49908 | 4 | 3.263 | 15295.1 |
| 788 | 2025-04-17 03:21:38 | manufacture | 3 | 121633 | 13 | 5.843 | 20816.9 |
| 787 | 2025-03-05 15:34:38 | manufacture | 3 | 121633 | 13 | 19.910 | 6109.1 |
| 786 | 2025-03-02 12:46:24 | manufacture | 3 | 121633 | 13 | 20.643 | 5892.2 |
| 785 | 2025-02-24 23:55:11 | manufacture | 3 | 121633 | 13 | 10.283 | 11828.6 |
| 784 | 2025-02-23 08:26:16 | manufacture | 3 | 121633 | 13 | 33.593 | 3620.8 |
| 783 | 2025-02-23 08:26:09 | manufacture | 2 | 86808 | 7 | 11.690 | 7425.8 |
| 782 | 2025-02-17 06:09:01 | manufacture | 1 | 49908 | 4 | 3.860 | 12929.5 |
| 781 | 2025-02-15 20:34:22 | manufacture | 1 | 49908 | 4 | 2.140 | 23321.5 |
| 780 | 2025-02-15 20:14:52 | manufacture | 3 | 121633 | 13 | 22.580 | 5386.8 |
| 779 | 2025-02-15 20:00:32 | manufacture | 2 | 86808 | 7 | 14.876 | 5835.4 |
| 778 | 2025-02-14 21:15:46 | manufacture | 4 | 148819 | 23 | 54.630 | 2724.1 |
| 777 | 2025-02-14 21:15:59 | manufacture | 2 | 86808 | 7 | 12.236 | 7094.5 |
| 776 | 2025-02-14 21:13:28 | manufacture | 1 | 49908 | 4 | 4.216 | 11837.8 |
| 775 | 2025-02-12 01:33:40 | manufacture | 4 | 148819 | 23 | 38.783 | 3837.2 |
| 774 | 2025-02-10 03:09:19 | manufacture | 2 | 86808 | 7 | 6.670 | 13014.7 |
| 773 | 2025-02-10 02:06:42 | manufacture | 1 | 49908 | 4 | 2.626 | 19005.3 |
| 772 | 2025-02-02 06:39:01 | manufacture | 4 | 148819 | 23 | 41.986 | 3544.5 |
| 771 | 2025-02-02 06:39:04 | manufacture | 3 | 121633 | 13 | 26.563 | 4579.0 |
| 770 | 2025-01-24 09:13:36 | manufacture | 3 | 121633 | 13 | 25.860 | 4703.5 |
| 769 | 2025-01-18 12:40:08 | manufacture | 4 | 148819 | 23 | 59.643 | 2495.2 |
| 768 | 2025-01-17 02:13:26 | manufacture | 1 | 49908 | 4 | 3.830 | 13030.8 |
| 767 | 2025-01-16 08:00:46 | manufacture | 1 | 49908 | 4 | 4.190 | 11911.2 |
| 766 | 2025-01-15 15:01:45 | manufacture | 3 | 121633 | 13 | 23.890 | 5091.4 |
| 765 | 2025-01-07 23:34:38 | manufacture | 1 | 49908 | 4 | 2.440 | 20454.1 |
| 764 | 2025-01-03 09:40:11 | manufacture | 4 | 148819 | 23 | 47.940 | 3104.3 |
| 763 | 2024-12-25 00:09:53 | manufacture | 3 | 121633 | 13 | 26.736 | 4549.4 |
| 762 | 2024-12-25 00:09:50 | manufacture | 2 | 86808 | 7 | 12.343 | 7033.0 |
| 761 | 2024-12-22 17:46:27 | manufacture | 4 | 148819 | 23 | 54.906 | 2710.4 |
| 760 | 2024-12-22 17:45:55 | manufacture | 3 | 121633 | 13 | 33.020 | 3683.6 |
| 759 | 2024-12-22 17:45:55 | manufacture | 2 | 86808 | 7 | 12.170 | 7132.9 |
| 758 | 2024-12-21 16:10:08 | manufacture | 4 | 148819 | 23 | 49.080 | 3032.2 |
| 757 | 2024-12-19 06:03:18 | manufacture | 4 | 148819 | 23 | 36.660 | 4059.4 |
| 756 | 2024-12-19 03:06:35 | manufacture | 4 | 148819 | 23 | 47.540 | 3130.4 |
| 755 | 2024-12-19 03:06:31 | manufacture | 4 | 148819 | 23 | 46.163 | 3223.8 |
| 754 | 2024-12-19 03:06:46 | manufacture | 3 | 121633 | 13 | 28.316 | 4295.6 |
| 753 | 2024-12-19 03:06:35 | manufacture | 2 | 86808 | 7 | 9.983 | 8695.6 |
| 752 | 2024-12-19 03:04:33 | manufacture | 1 | 49908 | 4 | 2.143 | 23288.8 |
| 751 | 2024-12-13 13:01:42 | manufacture | 1 | 49908 | 4 | 2.530 | 19726.5 |
| 750 | 2024-12-13 09:21:28 | manufacture | 1 | 49908 | 4 | 5.733 | 8705.4 |
| 749 | 2024-12-08 18:55:31 | manufacture | 1 | 49908 | 4 | 5.906 | 8450.4 |
| 748 | 2024-11-10 03:38:11 | manufacture | 1 | 49908 | 4 | 2.046 | 24393.0 |
| 747 | 2024-11-04 08:18:57 | manufacture | 3 | 121633 | 13 | 24.986 | 4868.0 |
| 746 | 2024-11-03 10:35:55 | manufacture | 4 | 148819 | 23 | 61.300 | 2427.7 |
| 745 | 2024-11-03 10:35:54 | manufacture | 4 | 148819 | 23 | 56.083 | 2653.5 |
| 744 | 2024-11-03 10:35:53 | manufacture | 4 | 148819 | 23 | 38.876 | 3828.0 |
| 743 | 2024-11-03 10:35:56 | manufacture | 3 | 121633 | 13 | 33.423 | 3639.2 |
| 742 | 2024-11-03 10:36:00 | manufacture | 2 | 86808 | 7 | 10.796 | 8040.8 |
| 741 | 2024-11-03 10:34:18 | manufacture | 1 | 49908 | 4 | 1.986 | 25129.9 |
| 740 | 2024-11-03 00:16:09 | manufacture | 1 | 49908 | 4 | 4.420 | 11291.4 |
| 739 | 2024-10-25 11:58:20 | manufacture | 1 | 49908 | 4 | 1.780 | 28038.2 |
| 738 | 2024-10-23 11:33:29 | manufacture | 2 | 86808 | 7 | 11.343 | 7653.0 |
| 737 | 2024-10-22 01:11:37 | manufacture | 1 | 49908 | 4 | 2.110 | 23653.1 |
| 736 | 2024-10-03 18:48:57 | manufacture | 1 | 49908 | 4 | 4.470 | 11165.1 |
| 735 | 2024-10-03 02:27:01 | manufacture | 1 | 49908 | 4 | 3.093 | 16135.8 |
| 734 | 2024-09-26 19:29:45 | manufacture | 3 | 121633 | 13 | 25.346 | 4798.9 |
| 733 | 2024-09-26 19:29:36 | manufacture | 2 | 86808 | 7 | 12.280 | 7069.1 |
| 732 | 2024-09-26 19:25:56 | manufacture | 1 | 49908 | 4 | 3.110 | 16047.6 |
| 731 | 2024-09-19 08:09:06 | manufacture | 3 | 121633 | 13 | 30.236 | 4022.8 |
| 730 | 2024-09-19 08:09:07 | manufacture | 3 | 121633 | 13 | 24.470 | 4970.7 |
| 729 | 2024-09-19 08:09:08 | manufacture | 3 | 121633 | 13 | 20.063 | 6062.6 |
| 728 | 2024-09-19 08:09:09 | manufacture | 2 | 86808 | 7 | 18.013 | 4819.2 |
| 727 | 2024-09-14 01:24:02 | manufacture | 3 | 121633 | 13 | 58.473 | 2080.2 |
| 726 | 2024-09-14 01:24:13 | manufacture | 3 | 121633 | 13 | 45.300 | 2685.1 |
| 725 | 2024-09-14 01:24:09 | manufacture | 3 | 121633 | 13 | 38.000 | 3200.9 |
| 724 | 2024-09-14 01:24:19 | manufacture | 3 | 121633 | 13 | 19.983 | 6086.8 |
| 723 | 2024-09-14 01:23:35 | manufacture | 1 | 49908 | 4 | 6.000 | 8318.0 |
| 722 | 2024-09-02 10:03:25 | manufacture | 1 | 49908 | 4 | 3.580 | 13940.8 |
| 721 | 2024-08-22 07:05:22 | manufacture | 3 | 121633 | 13 | 57.830 | 2103.3 |
| 720 | 2024-08-22 07:05:20 | manufacture | 2 | 86808 | 7 | 18.266 | 4752.4 |
| 719 | 2024-08-22 07:04:33 | manufacture | 1 | 49908 | 4 | 9.046 | 5517.1 |
| 718 | 2024-08-20 01:00:12 | manufacture | 1 | 49908 | 4 | 12.170 | 4100.9 |
| 717 | 2024-08-18 01:22:49 | manufacture | 1 | 49908 | 4 | 10.623 | 4698.1 |
| 716 | 2024-08-18 01:19:56 | manufacture | 1 | 49908 | 4 | 7.716 | 6468.1 |
| 715 | 2024-08-18 00:57:47 | manufacture | 1 | 49908 | 4 | 7.283 | 6852.7 |
| 714 | 2024-08-05 15:28:44 | manufacture | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 713 | 2024-07-31 20:41:16 | manufacture | 3 | 121633 | 13 | 10.670 | 11399.5 |
| 712 | 2024-07-31 20:41:06 | manufacture | 2 | 86808 | 7 | 10.110 | 8586.4 |
| 711 | 2024-07-31 19:15:22 | manufacture | 1 | 49908 | 4 | 1.390 | 35905.0 |
| 710 | 2024-07-31 17:57:51 | manufacture | 1 | 49908 | 4 | 1.783 | 27991.0 |
| 709 | 2024-07-31 17:50:29 | manufacture | 1 | 49908 | 4 | 3.266 | 15281.1 |
| 708 | 2024-07-30 16:48:51 | manufacture | 1 | 49908 | 4 | 4.186 | 11922.6 |
| 707 | 2024-07-25 15:15:59 | manufacture | 1 | 49908 | 4 | 3.063 | 16293.8 |
| 706 | 2024-07-21 09:16:59 | manufacture | 5 | 164607 | 93 | 76.833 | 2142.4 |