History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trainband"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 270 | 2025-09-09 00:15:55 | trainband | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 269 | 2025-08-09 12:41:26 | trainband | 1 | 81242 | 3 | 3.720 | 21839.2 |
| 268 | 2025-07-25 06:36:05 | trainband | 1 | 81242 | 3 | 3.533 | 22995.2 |
| 267 | 2025-07-25 05:18:57 | trainband | 1 | 81242 | 3 | 3.530 | 23014.7 |
| 266 | 2025-07-24 22:07:37 | trainband | 1 | 81242 | 3 | 2.640 | 30773.5 |
| 265 | 2025-07-23 05:07:44 | trainband | 1 | 81242 | 3 | 3.343 | 24302.1 |
| 264 | 2025-07-15 11:52:59 | trainband | 1 | 81242 | 3 | 6.690 | 12143.8 |
| 263 | 2025-07-14 18:30:56 | trainband | 3 | 148641 | 20 | 55.940 | 2657.2 |
| 262 | 2025-07-11 11:13:09 | trainband | 3 | 148641 | 20 | 50.973 | 2916.1 |
| 261 | 2025-07-11 08:44:00 | trainband | 3 | 148641 | 20 | 42.113 | 3529.6 |
| 260 | 2025-07-10 14:44:53 | trainband | 1 | 81242 | 3 | 4.703 | 17274.5 |
| 259 | 2025-07-08 19:23:58 | trainband | 1 | 81242 | 3 | 1.356 | 59913.0 |
| 258 | 2025-06-12 07:51:58 | trainband | 1 | 81242 | 3 | 3.610 | 22504.7 |
| 257 | 2025-06-04 09:52:18 | trainband | 1 | 81242 | 3 | 7.283 | 11155.0 |
| 256 | 2025-06-04 07:36:41 | trainband | 3 | 148641 | 20 | 43.096 | 3449.1 |
| 255 | 2025-06-01 10:26:33 | trainband | 3 | 148641 | 20 | 27.393 | 5426.2 |
| 254 | 2025-05-09 03:22:05 | trainband | 2 | 121436 | 5 | 5.686 | 21357.0 |
| 253 | 2025-04-20 05:00:29 | trainband | 3 | 148641 | 20 | 25.516 | 5825.4 |
| 252 | 2025-04-13 21:07:47 | trainband | 3 | 148641 | 20 | 36.236 | 4102.0 |
| 251 | 2025-04-02 12:07:20 | trainband | 2 | 121436 | 5 | 19.610 | 6192.6 |
| 250 | 2025-04-01 21:24:36 | trainband | 4 | 165329 | 150 | 58.016 | 2849.7 |
| 249 | 2025-04-01 16:55:54 | trainband | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 248 | 2025-04-01 09:20:38 | trainband | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 247 | 2025-03-26 23:58:43 | trainband | 3 | 148641 | 20 | 23.533 | 6316.3 |
| 246 | 2025-03-26 07:07:34 | trainband | 3 | 148641 | 20 | 35.203 | 4222.4 |
| 245 | 2025-03-23 22:06:35 | trainband | 3 | 148641 | 20 | 41.220 | 3606.0 |
| 244 | 2025-03-18 05:02:59 | trainband | 1 | 81242 | 3 | 6.563 | 12378.8 |
| 243 | 2025-03-16 05:06:53 | trainband | 3 | 148641 | 20 | 42.753 | 3476.7 |
| 242 | 2025-03-13 15:35:59 | trainband | 3 | 148641 | 20 | 29.283 | 5076.0 |
| 241 | 2025-03-13 15:34:17 | trainband | 3 | 148641 | 20 | 49.173 | 3022.8 |
| 240 | 2025-03-13 15:33:39 | trainband | 3 | 148641 | 20 | 29.783 | 4990.8 |
| 239 | 2025-03-12 13:13:20 | trainband | 4 | 165329 | 150 | 61.953 | 2668.6 |
| 238 | 2025-03-12 13:13:19 | trainband | 3 | 148641 | 20 | 40.220 | 3695.7 |
| 237 | 2025-03-12 13:13:15 | trainband | 2 | 121436 | 5 | 18.050 | 6727.8 |
| 236 | 2025-03-12 13:10:34 | trainband | 1 | 81242 | 3 | 4.360 | 18633.5 |
| 235 | 2025-02-28 12:14:48 | trainband | 1 | 81242 | 3 | 6.640 | 12235.2 |
| 234 | 2025-02-24 03:29:36 | trainband | 1 | 81242 | 3 | 6.703 | 12120.2 |
| 233 | 2025-02-23 15:49:51 | trainband | 3 | 148641 | 20 | 24.050 | 6180.5 |
| 232 | 2025-02-23 15:49:39 | trainband | 2 | 121436 | 5 | 10.860 | 11182.0 |
| 231 | 2025-02-23 15:49:00 | trainband | 3 | 148641 | 20 | 34.626 | 4292.8 |
| 230 | 2025-02-23 15:44:51 | trainband | 1 | 81242 | 3 | 6.093 | 13333.7 |
| 229 | 2025-01-27 01:27:19 | trainband | 1 | 81242 | 3 | 6.593 | 12322.5 |
| 228 | 2025-01-19 19:38:39 | trainband | 1 | 81242 | 3 | 6.750 | 12035.9 |
| 227 | 2025-01-18 17:48:22 | trainband | 1 | 81242 | 3 | 8.660 | 9381.3 |
| 226 | 2025-01-14 21:24:24 | trainband | 3 | 148641 | 20 | 36.003 | 4128.6 |
| 225 | 2025-01-14 03:25:25 | trainband | 3 | 148641 | 20 | 36.753 | 4044.3 |
| 224 | 2025-01-12 20:20:51 | trainband | 4 | 165329 | 150 | 60.813 | 2718.6 |
| 223 | 2025-01-12 20:21:14 | trainband | 3 | 148641 | 20 | 35.360 | 4203.6 |
| 222 | 2025-01-12 20:21:19 | trainband | 2 | 121436 | 5 | 18.736 | 6481.4 |
| 221 | 2025-01-12 20:19:59 | trainband | 1 | 81242 | 3 | 6.890 | 11791.3 |
| 220 | 2024-12-19 03:36:45 | trainband | 2 | 121436 | 5 | 18.890 | 6428.6 |
| 219 | 2024-12-19 03:35:55 | trainband | 3 | 148641 | 20 | 19.486 | 7628.1 |
| 218 | 2024-12-19 03:35:25 | trainband | 3 | 148641 | 20 | 38.050 | 3906.5 |
| 217 | 2024-12-19 03:34:28 | trainband | 1 | 81242 | 3 | 5.906 | 13755.8 |
| 216 | 2024-12-18 22:05:30 | trainband | 3 | 148641 | 20 | 54.963 | 2704.4 |
| 215 | 2024-12-13 09:25:28 | trainband | 3 | 148641 | 20 | 36.830 | 4035.9 |
| 214 | 2024-12-13 09:25:36 | trainband | 2 | 121436 | 5 | 17.610 | 6895.9 |
| 213 | 2024-12-13 09:22:52 | trainband | 1 | 81242 | 3 | 5.126 | 15849.0 |
| 212 | 2024-12-13 07:06:48 | trainband | 1 | 81242 | 3 | 3.983 | 20397.2 |
| 211 | 2024-11-15 01:09:54 | trainband | 3 | 148641 | 20 | 37.190 | 3996.8 |
| 210 | 2024-11-15 01:10:05 | trainband | 2 | 121436 | 5 | 16.503 | 7358.4 |
| 209 | 2024-11-15 01:08:39 | trainband | 1 | 81242 | 3 | 6.436 | 12623.1 |
| 208 | 2024-11-13 12:53:15 | trainband | 3 | 148641 | 20 | 51.830 | 2867.9 |
| 207 | 2024-11-13 12:53:06 | trainband | 3 | 148641 | 20 | 50.016 | 2971.9 |
| 206 | 2024-11-13 12:53:11 | trainband | 2 | 121436 | 5 | 17.546 | 6921.0 |
| 205 | 2024-11-13 11:47:07 | trainband | 1 | 81242 | 3 | 2.953 | 27511.7 |
| 204 | 2024-11-07 14:28:43 | trainband | 3 | 148641 | 20 | 33.486 | 4438.9 |
| 203 | 2024-11-07 10:42:34 | trainband | 1 | 81242 | 3 | 5.296 | 15340.3 |
| 202 | 2024-11-06 15:24:26 | trainband | 3 | 148641 | 20 | 37.656 | 3947.3 |
| 201 | 2024-11-06 15:24:06 | trainband | 3 | 148641 | 20 | 49.783 | 2985.8 |
| 200 | 2024-11-06 15:24:07 | trainband | 2 | 121436 | 5 | 18.863 | 6437.8 |
| 199 | 2024-10-27 21:00:13 | trainband | 1 | 81242 | 3 | 1.203 | 67532.8 |
| 198 | 2024-10-12 03:20:31 | trainband | 1 | 81242 | 3 | 2.253 | 36059.5 |
| 197 | 2024-10-11 07:12:53 | trainband | 2 | 121436 | 5 | 20.516 | 5919.1 |
| 196 | 2024-10-11 07:11:18 | trainband | 1 | 81242 | 3 | 6.533 | 12435.6 |
| 195 | 2024-10-08 08:39:44 | trainband | 1 | 81242 | 3 | 8.873 | 9156.1 |
| 194 | 2024-09-18 06:06:06 | trainband | 3 | 148641 | 20 | 58.736 | 2530.7 |
| 193 | 2024-09-17 07:19:08 | trainband | 3 | 148641 | 20 | 59.393 | 2502.7 |
| 192 | 2024-09-11 03:16:30 | trainband | 2 | 121436 | 5 | 29.066 | 4177.9 |
| 191 | 2024-09-11 03:15:20 | trainband | 1 | 81242 | 3 | 8.876 | 9153.0 |
| 190 | 2024-09-11 03:01:11 | trainband | 3 | 148641 | 20 | 46.436 | 3201.0 |
| 189 | 2024-08-31 16:33:25 | trainband | 2 | 121436 | 5 | 27.876 | 4356.3 |
| 188 | 2024-08-31 11:03:12 | trainband | 4 | 165329 | 150 | 127.943 | 1292.2 |
| 187 | 2024-08-31 11:03:27 | trainband | 3 | 148641 | 20 | 75.253 | 1975.2 |
| 186 | 2024-08-31 11:03:20 | trainband | 2 | 121436 | 5 | 40.456 | 3001.7 |
| 185 | 2024-08-31 10:58:35 | trainband | 1 | 81242 | 3 | 11.843 | 6859.9 |
| 184 | 2024-08-31 10:55:57 | trainband | 1 | 81242 | 3 | 3.953 | 20552.0 |
| 183 | 2024-08-29 23:15:49 | trainband | 1 | 81242 | 3 | 8.763 | 9271.0 |
| 182 | 2024-07-25 11:51:15 | trainband | 3 | 148641 | 20 | 22.803 | 6518.5 |
| 181 | 2024-07-25 10:24:21 | trainband | 3 | 148641 | 20 | 39.753 | 3739.1 |
| 180 | 2024-07-25 10:17:00 | trainband | 1 | 81242 | 3 | 3.940 | 20619.8 |
| 179 | 2024-07-22 08:06:55 | trainband | 3 | 148641 | 20 | 37.486 | 3965.2 |
| 178 | 2024-07-22 08:07:00 | trainband | 2 | 121436 | 5 | 18.206 | 6670.1 |
| 177 | 2024-07-22 08:05:28 | trainband | 1 | 81242 | 3 | 1.906 | 42624.3 |
| 176 | 2024-07-14 18:22:12 | trainband | 3 | 148641 | 20 | 42.923 | 3463.0 |
| 175 | 2024-07-14 18:22:06 | trainband | 2 | 121436 | 5 | 15.830 | 7671.3 |
| 174 | 2024-07-14 18:19:57 | trainband | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 173 | 2024-07-13 07:47:07 | trainband | 4 | 165329 | 150 | 30.876 | 5354.6 |
| 172 | 2024-07-12 10:34:08 | trainband | 4 | 165329 | 150 | 61.706 | 2679.3 |
| 171 | 2024-07-11 06:59:08 | trainband | 3 | 148641 | 20 | 21.313 | 6974.2 |