History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"softening"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 195 | 2024-06-03 15:10:48 | softening | 1 | 81242 | 1 | 1.470 | 55266.7 |
| 194 | 2024-06-02 23:19:55 | softening | 1 | 81242 | 1 | 2.720 | 29868.4 |
| 193 | 2024-05-15 11:35:29 | softening | 4 | 165329 | 879 | 36.546 | 4523.9 |
| 192 | 2024-05-15 11:35:28 | softening | 3 | 148641 | 86 | 17.063 | 8711.3 |
| 191 | 2024-05-15 11:35:27 | softening | 2 | 121436 | 5 | 10.936 | 11104.2 |
| 190 | 2024-05-14 14:25:15 | softening | 1 | 81242 | 1 | 1.470 | 55266.7 |
| 189 | 2024-05-12 19:28:32 | softening | 1 | 81242 | 1 | 3.313 | 24522.2 |
| 188 | 2024-05-05 01:50:12 | softening | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 187 | 2024-05-03 17:07:24 | softening | 1 | 81242 | 1 | 1.533 | 52995.4 |
| 186 | 2024-05-03 16:33:11 | softening | 1 | 81242 | 1 | 1.533 | 52995.4 |
| 185 | 2024-05-03 12:07:40 | softening | 4 | 165329 | 879 | 12.546 | 13177.8 |
| 184 | 2024-05-03 11:23:16 | softening | 4 | 165329 | 879 | 24.860 | 6650.4 |
| 183 | 2024-05-03 11:13:43 | softening | 1 | 81242 | 1 | 2.266 | 35852.6 |
| 182 | 2024-05-03 08:07:47 | softening | 3 | 148641 | 86 | 9.703 | 15319.1 |
| 181 | 2024-05-03 08:07:52 | softening | 2 | 121436 | 5 | 4.483 | 27088.1 |
| 180 | 2024-05-03 07:19:14 | softening | 4 | 165329 | 879 | 23.750 | 6961.2 |
| 179 | 2024-05-03 03:15:43 | softening | 1 | 81242 | 1 | 1.563 | 51978.2 |
| 178 | 2024-05-01 19:52:01 | softening | 1 | 81242 | 1 | 1.486 | 54671.6 |
| 177 | 2024-04-25 12:35:58 | softening | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 176 | 2024-04-11 08:06:37 | softening | 1 | 81242 | 1 | 1.470 | 55266.7 |
| 175 | 2024-04-06 22:34:21 | softening | 2 | 121436 | 5 | 12.576 | 9656.2 |
| 174 | 2024-04-06 22:33:17 | softening | 1 | 81242 | 1 | 5.626 | 14440.5 |
| 173 | 2024-04-06 08:31:51 | softening | 2 | 121436 | 5 | 13.563 | 8953.5 |
| 172 | 2024-04-03 17:30:29 | softening | 3 | 148641 | 86 | 17.126 | 8679.3 |
| 171 | 2024-04-03 17:28:51 | softening | 2 | 121436 | 5 | 8.720 | 13926.1 |
| 170 | 2024-04-03 16:15:50 | softening | 1 | 81242 | 1 | 3.436 | 23644.4 |
| 169 | 2024-04-02 19:21:25 | softening | 4 | 165329 | 879 | 34.236 | 4829.1 |
| 168 | 2024-04-01 18:56:30 | softening | 3 | 148641 | 86 | 17.660 | 8416.8 |
| 167 | 2024-03-31 23:12:39 | softening | 4 | 165329 | 879 | 46.593 | 3548.4 |
| 166 | 2024-03-31 23:01:57 | softening | 4 | 165329 | 879 | 30.376 | 5442.8 |
| 165 | 2024-03-31 23:02:21 | softening | 1 | 81242 | 1 | 3.233 | 25129.0 |
| 164 | 2024-03-31 23:02:03 | softening | 3 | 148641 | 86 | 19.780 | 7514.7 |
| 163 | 2024-03-31 23:01:58 | softening | 2 | 121436 | 5 | 4.140 | 29332.4 |
| 162 | 2024-03-31 23:01:02 | softening | 1 | 81242 | 1 | 3.060 | 26549.7 |
| 161 | 2024-03-12 00:03:35 | softening | 1 | 81242 | 1 | 2.686 | 30246.5 |
| 160 | 2024-02-28 10:58:59 | softening | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 159 | 2024-02-15 17:01:30 | softening | 1 | 81242 | 1 | 4.923 | 16502.5 |
| 158 | 2024-01-27 16:36:35 | softening | 1 | 81242 | 1 | 1.466 | 55417.5 |
| 157 | 2023-12-31 17:55:02 | softening | 1 | 81242 | 1 | 1.360 | 59736.8 |
| 156 | 2023-12-29 03:34:33 | softening | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 155 | 2023-12-11 04:35:49 | softening | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 154 | 2023-11-06 23:41:05 | softening | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 153 | 2022-07-04 12:58:04 | softening | 3 | 148641 | 86 | 6.126 | 24264.0 |
| 152 | 2022-07-04 12:57:38 | softening | 2 | 121436 | 5 | 3.563 | 34082.5 |
| 151 | 2022-06-27 04:17:21 | softening | 3 | 148641 | 86 | 6.970 | 21325.8 |
| 150 | 2022-06-27 04:17:01 | softening | 2 | 121436 | 5 | 3.216 | 37760.0 |
| 149 | 2022-06-09 10:34:18 | softening | 3 | 148641 | 86 | 7.143 | 20809.3 |
| 148 | 2022-06-09 10:33:58 | softening | 2 | 121436 | 5 | 3.296 | 36843.4 |
| 147 | 2022-06-02 13:25:39 | softening | 3 | 148641 | 86 | 7.250 | 20502.2 |
| 146 | 2022-05-19 20:44:25 | softening | 3 | 148641 | 86 | 6.346 | 23422.8 |
| 145 | 2022-03-22 21:13:21 | softening | 1 | 81242 | 1 | 1.563 | 51978.2 |
| 144 | 2022-02-15 18:20:43 | softening | 1 | 81242 | 1 | 1.610 | 50460.9 |
| 143 | 2021-05-01 12:06:38 | softening | 1 | 81242 | 1 | 1.373 | 59171.2 |
| 142 | 2021-01-14 10:14:20 | softening | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 141 | 2020-10-30 15:54:14 | softening | 1 | 81242 | 1 | 1.326 | 61268.5 |
| 140 | 2020-10-30 06:13:37 | softening | 1 | 81242 | 1 | 1.293 | 62832.2 |
| 139 | 2020-10-29 02:47:03 | softening | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 138 | 2020-10-01 12:21:44 | softening | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 137 | 2020-03-24 11:17:27 | softening | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 136 | 2020-03-19 13:22:11 | softening | 1 | 81242 | 1 | 1.940 | 41877.3 |
| 135 | 2020-03-07 14:25:40 | softening | 1 | 81242 | 1 | 1.280 | 63470.3 |
| 134 | 2020-02-29 23:08:01 | softening | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 133 | 2020-02-29 17:09:12 | softening | 1 | 81242 | 1 | 3.033 | 26786.0 |
| 132 | 2020-02-25 06:44:59 | softening | 1 | 81242 | 1 | 3.266 | 24875.1 |
| 131 | 2020-02-08 02:22:46 | softening | 1 | 81242 | 1 | 1.513 | 53696.0 |
| 130 | 2020-02-07 02:37:48 | softening | 1 | 81242 | 1 | 2.483 | 32719.3 |
| 129 | 2020-02-04 23:42:57 | softening | 1 | 81242 | 1 | 1.593 | 50999.4 |
| 128 | 2020-02-02 02:16:16 | softening | 1 | 81242 | 1 | 1.313 | 61875.1 |
| 127 | 2020-01-23 23:32:19 | softening | 1 | 81242 | 1 | 1.546 | 52549.8 |
| 126 | 2020-01-19 18:29:39 | softening | 1 | 81242 | 1 | 3.156 | 25742.1 |
| 125 | 2020-01-11 14:21:34 | softening | 1 | 81242 | 1 | 2.330 | 34867.8 |
| 124 | 2020-01-06 08:17:55 | softening | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 123 | 2020-01-02 00:08:26 | softening | 1 | 81242 | 1 | 1.486 | 54671.6 |
| 122 | 2020-01-01 11:43:00 | softening | 1 | 81242 | 1 | 1.466 | 55417.5 |
| 121 | 2019-12-01 17:52:04 | softening | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 120 | 2019-08-30 07:33:11 | softening | 1 | 81242 | 1 | 1.326 | 61268.5 |
| 119 | 2019-07-25 03:53:17 | softening | 1 | 81242 | 1 | 1.256 | 64683.1 |
| 118 | 2019-07-09 10:51:03 | softening | 1 | 81242 | 1 | 1.226 | 66265.9 |
| 117 | 2019-06-26 02:15:46 | softening | 1 | 81242 | 1 | 1.356 | 59913.0 |
| 116 | 2019-06-23 14:17:30 | softening | 1 | 81242 | 1 | 1.263 | 64324.6 |
| 115 | 2019-06-16 20:11:17 | softening | 1 | 81242 | 1 | 1.293 | 62832.2 |
| 114 | 2019-06-11 07:51:54 | softening | 1 | 81242 | 1 | 1.293 | 62832.2 |
| 113 | 2019-06-07 13:24:09 | softening | 1 | 81242 | 1 | 1.276 | 63669.3 |
| 112 | 2019-05-21 07:44:15 | softening | 1 | 81242 | 1 | 1.450 | 56029.0 |
| 111 | 2019-04-30 12:33:10 | softening | 1 | 81242 | 1 | 1.336 | 60809.9 |
| 110 | 2019-04-09 03:37:16 | softening | 1 | 81242 | 1 | 1.230 | 66050.4 |
| 109 | 2019-02-09 17:34:29 | softening | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 108 | 2019-01-30 07:56:58 | softening | 1 | 81242 | 1 | 1.246 | 65202.2 |
| 107 | 2019-01-13 16:01:19 | softening | 1 | 81242 | 1 | 1.326 | 61268.5 |
| 106 | 2019-01-04 23:38:46 | softening | 1 | 81242 | 1 | 1.456 | 55798.1 |
| 105 | 2019-01-01 16:05:30 | softening | 1 | 81242 | 1 | 1.410 | 57618.4 |
| 104 | 2018-12-17 22:13:10 | softening | 1 | 81242 | 1 | 1.883 | 43145.0 |
| 103 | 2018-12-06 20:20:52 | softening | 1 | 81242 | 1 | 1.403 | 57905.9 |
| 102 | 2018-11-14 06:00:54 | softening | 1 | 81242 | 1 | 1.386 | 58616.2 |
| 101 | 2018-09-27 01:08:14 | softening | 1 | 81242 | 1 | 1.486 | 54671.6 |
| 100 | 2018-09-26 16:02:08 | softening | 1 | 81242 | 1 | 1.273 | 63819.3 |
| 99 | 2018-09-24 06:32:52 | softening | 1 | 81242 | 1 | 1.293 | 62832.2 |
| 98 | 2018-09-13 01:31:37 | softening | 1 | 81242 | 1 | 1.353 | 60045.8 |
| 97 | 2018-06-27 07:16:56 | softening | 1 | 81242 | 1 | 1.620 | 50149.4 |
| 96 | 2018-02-17 09:13:45 | softening | 1 | 81242 | 1 | 1.736 | 46798.4 |