History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"purchases"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1034 | 2025-12-24 10:18:08 | purchases | 3 | 148641 | 56 | 6.750 | 22020.9 |
| 1033 | 2025-12-12 03:09:22 | purchases | 3 | 148641 | 56 | 12.300 | 12084.6 |
| 1032 | 2025-12-11 23:02:59 | purchases | 4 | 165329 | 512 | 19.923 | 8298.4 |
| 1031 | 2025-12-11 20:56:49 | purchases | 4 | 165329 | 512 | 13.016 | 12702.0 |
| 1030 | 2025-12-11 04:15:12 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1029 | 2025-12-09 14:40:17 | purchases | 1 | 81242 | 5 | 1.376 | 59042.2 |
| 1028 | 2025-12-02 17:12:11 | purchases | 1 | 81242 | 5 | 1.373 | 59171.2 |
| 1027 | 2025-12-01 00:19:03 | purchases | 4 | 165329 | 512 | 11.016 | 15008.1 |
| 1026 | 2025-11-29 20:42:47 | purchases | 1 | 81242 | 5 | 5.016 | 16196.6 |
| 1025 | 2025-11-22 19:34:55 | purchases | 3 | 148641 | 56 | 14.910 | 9969.2 |
| 1024 | 2025-11-21 02:24:40 | purchases | 1 | 81242 | 5 | 2.546 | 31909.7 |
| 1023 | 2025-11-14 04:50:46 | purchases | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 1022 | 2025-11-14 03:04:04 | purchases | 1 | 81242 | 5 | 1.456 | 55798.1 |
| 1021 | 2025-11-14 01:12:31 | purchases | 4 | 165329 | 512 | 12.110 | 13652.3 |
| 1020 | 2025-11-12 07:53:56 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1019 | 2025-11-09 17:35:08 | purchases | 4 | 165329 | 512 | 12.533 | 13191.5 |
| 1018 | 2025-11-09 13:32:37 | purchases | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 1017 | 2025-11-09 05:03:05 | purchases | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 1016 | 2025-11-08 11:41:19 | purchases | 4 | 165329 | 512 | 11.530 | 14339.0 |
| 1015 | 2025-11-07 04:13:44 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 1014 | 2025-11-06 20:55:02 | purchases | 4 | 165329 | 512 | 19.873 | 8319.3 |
| 1013 | 2025-11-04 19:11:51 | purchases | 4 | 165329 | 512 | 20.813 | 7943.5 |
| 1012 | 2025-11-04 00:11:50 | purchases | 4 | 165329 | 512 | 10.923 | 15135.9 |
| 1011 | 2025-11-02 10:02:16 | purchases | 3 | 148641 | 56 | 7.596 | 19568.3 |
| 1010 | 2025-10-29 21:40:55 | purchases | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 1009 | 2025-10-29 08:03:08 | purchases | 1 | 81242 | 5 | 2.673 | 30393.6 |
| 1008 | 2025-10-18 00:35:50 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 1007 | 2025-10-17 03:20:39 | purchases | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 1006 | 2025-10-11 04:11:13 | purchases | 1 | 81242 | 5 | 1.283 | 63321.9 |
| 1005 | 2025-10-07 05:21:30 | purchases | 1 | 81242 | 5 | 1.513 | 53696.0 |
| 1004 | 2025-09-29 05:49:02 | purchases | 1 | 81242 | 5 | 3.030 | 26812.5 |
| 1003 | 2025-09-28 22:00:31 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1002 | 2025-09-28 14:25:21 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1001 | 2025-09-28 08:11:29 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1000 | 2025-09-28 07:56:54 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 999 | 2025-09-16 03:18:34 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 998 | 2025-09-10 04:15:57 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 997 | 2025-09-06 14:21:37 | purchases | 1 | 81242 | 5 | 1.253 | 64838.0 |
| 996 | 2025-08-28 21:48:36 | purchases | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 995 | 2025-08-28 05:38:24 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 994 | 2025-08-19 14:18:02 | purchases | 1 | 81242 | 5 | 3.656 | 22221.6 |
| 993 | 2025-08-10 04:38:54 | purchases | 1 | 81242 | 5 | 3.203 | 25364.3 |
| 992 | 2025-08-05 10:46:24 | purchases | 1 | 81242 | 5 | 6.640 | 12235.2 |
| 991 | 2025-07-18 17:32:00 | purchases | 1 | 81242 | 5 | 7.046 | 11530.2 |
| 990 | 2025-07-14 17:19:52 | purchases | 2 | 121436 | 7 | 15.626 | 7771.4 |
| 989 | 2025-07-14 16:02:43 | purchases | 1 | 81242 | 5 | 6.686 | 12151.1 |
| 988 | 2025-07-14 10:08:39 | purchases | 3 | 148641 | 56 | 38.923 | 3818.8 |
| 987 | 2025-07-07 23:28:30 | purchases | 1 | 81242 | 5 | 6.703 | 12120.2 |
| 986 | 2025-07-07 07:02:07 | purchases | 1 | 81242 | 5 | 5.860 | 13863.8 |
| 985 | 2025-06-30 08:10:55 | purchases | 4 | 165329 | 512 | 60.286 | 2742.4 |
| 984 | 2025-06-28 05:30:20 | purchases | 1 | 81242 | 5 | 8.126 | 9997.8 |
| 983 | 2025-06-27 07:30:56 | purchases | 4 | 165329 | 512 | 47.143 | 3507.0 |
| 982 | 2025-06-25 00:20:19 | purchases | 4 | 165329 | 512 | 68.643 | 2408.5 |
| 981 | 2025-06-24 21:48:26 | purchases | 4 | 165329 | 512 | 66.243 | 2495.8 |
| 980 | 2025-06-24 10:54:29 | purchases | 4 | 165329 | 512 | 58.003 | 2850.4 |
| 979 | 2025-06-24 07:48:12 | purchases | 4 | 165329 | 512 | 67.690 | 2442.4 |
| 978 | 2025-06-22 11:35:29 | purchases | 4 | 165329 | 512 | 60.470 | 2734.1 |
| 977 | 2025-06-18 20:59:09 | purchases | 4 | 165329 | 512 | 11.450 | 14439.2 |
| 976 | 2025-06-07 23:14:55 | purchases | 1 | 81242 | 5 | 10.123 | 8025.5 |
| 975 | 2025-06-07 12:20:48 | purchases | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 974 | 2025-06-06 06:38:25 | purchases | 1 | 81242 | 5 | 7.500 | 10832.3 |
| 973 | 2025-06-05 04:16:40 | purchases | 1 | 81242 | 5 | 10.313 | 7877.6 |
| 972 | 2025-06-02 06:56:49 | purchases | 1 | 81242 | 5 | 4.376 | 18565.4 |
| 971 | 2025-06-02 03:44:58 | purchases | 1 | 81242 | 5 | 6.860 | 11842.9 |
| 970 | 2025-05-29 05:08:57 | purchases | 4 | 165329 | 512 | 75.116 | 2201.0 |
| 969 | 2025-05-24 09:20:36 | purchases | 4 | 165329 | 512 | 57.063 | 2897.3 |
| 968 | 2025-05-22 15:08:59 | purchases | 1 | 81242 | 5 | 7.016 | 11579.5 |
| 967 | 2025-05-21 10:55:34 | purchases | 4 | 165329 | 512 | 31.596 | 5232.6 |
| 966 | 2025-05-19 08:25:21 | purchases | 4 | 165329 | 512 | 49.486 | 3340.9 |
| 965 | 2025-05-18 04:09:08 | purchases | 1 | 81242 | 5 | 3.563 | 22801.6 |
| 964 | 2025-05-15 21:30:37 | purchases | 4 | 165329 | 512 | 52.160 | 3169.7 |
| 963 | 2025-05-14 01:49:37 | purchases | 4 | 165329 | 512 | 62.083 | 2663.0 |
| 962 | 2025-05-12 07:48:30 | purchases | 4 | 165329 | 512 | 41.563 | 3977.8 |
| 961 | 2025-05-11 20:33:06 | purchases | 4 | 165329 | 512 | 14.576 | 11342.5 |
| 960 | 2025-05-09 21:27:24 | purchases | 4 | 165329 | 512 | 36.606 | 4516.4 |
| 959 | 2025-05-02 06:32:04 | purchases | 1 | 81242 | 5 | 3.750 | 21664.5 |
| 958 | 2025-04-30 04:00:30 | purchases | 2 | 121436 | 7 | 19.876 | 6109.7 |
| 957 | 2025-04-29 12:11:19 | purchases | 1 | 81242 | 5 | 6.860 | 11842.9 |
| 956 | 2025-04-24 21:10:38 | purchases | 1 | 81242 | 5 | 1.406 | 57782.4 |
| 955 | 2025-04-23 22:29:51 | purchases | 3 | 148641 | 56 | 29.236 | 5084.2 |
| 954 | 2025-04-23 21:24:12 | purchases | 1 | 81242 | 5 | 6.546 | 12410.9 |
| 953 | 2025-04-22 22:40:34 | purchases | 1 | 81242 | 5 | 9.076 | 8951.3 |
| 952 | 2025-04-20 17:39:09 | purchases | 3 | 148641 | 56 | 6.516 | 22811.7 |
| 951 | 2025-04-20 05:09:26 | purchases | 1 | 81242 | 5 | 6.453 | 12589.8 |
| 950 | 2025-04-20 03:18:46 | purchases | 1 | 81242 | 5 | 3.983 | 20397.2 |
| 949 | 2025-04-19 03:10:19 | purchases | 4 | 165329 | 512 | 11.606 | 14245.1 |
| 948 | 2025-04-18 09:34:20 | purchases | 4 | 165329 | 512 | 65.223 | 2534.8 |
| 947 | 2025-04-13 21:27:10 | purchases | 4 | 165329 | 512 | 53.706 | 3078.4 |
| 946 | 2025-04-12 17:19:47 | purchases | 3 | 148641 | 56 | 7.876 | 18872.7 |
| 945 | 2025-04-11 12:37:51 | purchases | 4 | 165329 | 512 | 55.303 | 2989.5 |
| 944 | 2025-04-09 08:48:47 | purchases | 2 | 121436 | 7 | 15.313 | 7930.3 |
| 943 | 2025-04-09 00:53:30 | purchases | 4 | 165329 | 512 | 80.236 | 2060.5 |
| 942 | 2025-04-08 04:24:21 | purchases | 1 | 81242 | 5 | 6.503 | 12493.0 |
| 941 | 2025-03-29 15:15:52 | purchases | 3 | 148641 | 56 | 27.113 | 5482.3 |
| 940 | 2025-03-29 08:20:07 | purchases | 1 | 81242 | 5 | 3.690 | 22016.8 |
| 939 | 2025-03-26 17:03:22 | purchases | 3 | 148641 | 56 | 32.766 | 4536.4 |
| 938 | 2025-03-24 08:31:01 | purchases | 3 | 148641 | 56 | 31.563 | 4709.3 |
| 937 | 2025-03-24 01:58:32 | purchases | 2 | 121436 | 7 | 3.533 | 34371.9 |
| 936 | 2025-03-21 06:41:11 | purchases | 3 | 148641 | 56 | 35.813 | 4150.5 |
| 935 | 2025-03-20 16:16:19 | purchases | 1 | 81242 | 5 | 7.360 | 11038.3 |