History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"finenesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 319 | 2024-06-03 22:11:56 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 318 | 2024-06-03 15:15:44 | finenesses | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 317 | 2024-05-31 01:41:17 | finenesses | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 316 | 2024-05-17 16:56:01 | finenesses | 2 | 108824 | 28 | 7.563 | 14389.0 |
| 315 | 2024-05-17 16:50:24 | finenesses | 1 | 67641 | 1 | 3.906 | 17317.2 |
| 314 | 2024-05-09 06:24:37 | finenesses | 2 | 108824 | 28 | 3.593 | 30287.8 |
| 313 | 2024-05-09 06:22:42 | finenesses | 3 | 140603 | 175 | 18.783 | 7485.7 |
| 312 | 2024-05-09 06:00:55 | finenesses | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 311 | 2024-05-08 06:01:07 | finenesses | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 310 | 2024-05-07 15:10:30 | finenesses | 1 | 67641 | 1 | 2.736 | 24722.6 |
| 309 | 2024-05-07 11:26:31 | finenesses | 2 | 108824 | 28 | 5.643 | 19284.8 |
| 308 | 2024-05-07 11:24:31 | finenesses | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 307 | 2024-05-05 09:06:34 | finenesses | 1 | 67641 | 1 | 1.563 | 43276.4 |
| 306 | 2024-05-03 02:51:23 | finenesses | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 305 | 2024-04-27 09:00:41 | finenesses | 3 | 140603 | 175 | 8.046 | 17474.9 |
| 304 | 2024-04-16 22:19:16 | finenesses | 1 | 67641 | 1 | 3.610 | 18737.1 |
| 303 | 2024-04-06 19:03:19 | finenesses | 1 | 67641 | 1 | 4.796 | 14103.6 |
| 302 | 2024-04-05 11:27:45 | finenesses | 2 | 108824 | 28 | 5.376 | 20242.6 |
| 301 | 2024-04-05 11:20:57 | finenesses | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 300 | 2024-04-02 13:43:29 | finenesses | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 299 | 2024-03-29 12:09:31 | finenesses | 3 | 140603 | 175 | 20.406 | 6890.3 |
| 298 | 2024-03-28 00:58:55 | finenesses | 3 | 140603 | 175 | 16.263 | 8645.6 |
| 297 | 2024-03-28 00:58:52 | finenesses | 2 | 108824 | 28 | 7.110 | 15305.8 |
| 296 | 2024-03-21 00:00:03 | finenesses | 3 | 140603 | 175 | 9.533 | 14749.1 |
| 295 | 2024-03-20 07:12:08 | finenesses | 3 | 140603 | 175 | 23.410 | 6006.1 |
| 294 | 2024-03-20 07:12:08 | finenesses | 2 | 108824 | 28 | 10.890 | 9993.0 |
| 293 | 2024-03-20 05:04:26 | finenesses | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 292 | 2024-03-13 07:17:06 | finenesses | 2 | 108824 | 28 | 7.300 | 14907.4 |
| 291 | 2024-03-12 10:59:30 | finenesses | 2 | 108824 | 28 | 10.703 | 10167.6 |
| 290 | 2024-03-12 10:55:49 | finenesses | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 289 | 2024-03-07 09:05:49 | finenesses | 1 | 67641 | 1 | 3.876 | 17451.2 |
| 288 | 2024-03-02 11:42:46 | finenesses | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 287 | 2024-03-01 20:35:43 | finenesses | 3 | 140603 | 175 | 7.390 | 19026.1 |
| 286 | 2024-03-01 12:39:35 | finenesses | 1 | 67641 | 1 | 1.483 | 45610.9 |
| 285 | 2024-02-26 16:19:36 | finenesses | 3 | 140603 | 175 | 22.736 | 6184.2 |
| 284 | 2024-02-22 16:38:54 | finenesses | 3 | 140603 | 175 | 7.126 | 19731.0 |
| 283 | 2024-02-22 16:38:52 | finenesses | 2 | 108824 | 28 | 3.313 | 32847.6 |
| 282 | 2024-02-10 01:55:10 | finenesses | 3 | 140603 | 175 | 13.440 | 10461.5 |
| 281 | 2024-02-08 20:51:03 | finenesses | 3 | 140603 | 175 | 8.360 | 16818.5 |
| 280 | 2024-02-08 20:51:03 | finenesses | 2 | 108824 | 28 | 3.563 | 30542.8 |
| 279 | 2024-02-08 20:38:32 | finenesses | 1 | 67641 | 1 | 2.516 | 26884.3 |
| 278 | 2024-01-31 15:58:20 | finenesses | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 277 | 2024-01-30 12:25:02 | finenesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 276 | 2024-01-29 04:47:56 | finenesses | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 275 | 2024-01-23 11:11:21 | finenesses | 2 | 108824 | 28 | 10.470 | 10393.9 |
| 274 | 2024-01-23 10:20:29 | finenesses | 3 | 140603 | 175 | 22.736 | 6184.2 |
| 273 | 2024-01-14 22:17:46 | finenesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 272 | 2024-01-12 14:04:29 | finenesses | 3 | 140603 | 175 | 6.813 | 20637.5 |
| 271 | 2023-12-02 21:53:08 | finenesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 270 | 2023-11-30 22:26:28 | finenesses | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 269 | 2023-11-14 21:30:05 | finenesses | 3 | 140603 | 175 | 5.936 | 23686.5 |
| 268 | 2023-11-14 21:30:08 | finenesses | 2 | 108824 | 28 | 3.030 | 35915.5 |
| 267 | 2023-11-07 21:15:11 | finenesses | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 266 | 2023-10-27 00:05:05 | finenesses | 3 | 140603 | 175 | 5.436 | 25865.2 |
| 265 | 2023-10-27 00:05:02 | finenesses | 2 | 108824 | 28 | 2.800 | 38865.7 |
| 264 | 2023-10-26 20:25:47 | finenesses | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 263 | 2023-10-20 23:39:20 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 262 | 2023-10-15 23:35:47 | finenesses | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 261 | 2023-10-12 02:32:06 | finenesses | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 260 | 2023-10-09 00:05:54 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 259 | 2023-08-28 03:06:10 | finenesses | 1 | 67641 | 1 | 1.096 | 61716.2 |
| 258 | 2023-06-25 01:08:04 | finenesses | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 257 | 2023-05-29 19:43:49 | finenesses | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 256 | 2023-03-23 17:47:50 | finenesses | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 255 | 2023-03-12 18:33:34 | finenesses | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 254 | 2023-01-08 09:00:04 | finenesses | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 253 | 2022-11-24 15:33:42 | finenesses | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 252 | 2022-10-08 04:32:32 | finenesses | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 251 | 2022-07-28 10:12:56 | finenesses | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 250 | 2022-05-27 10:00:36 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 249 | 2022-05-25 04:15:04 | finenesses | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 248 | 2022-04-09 18:20:56 | finenesses | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 247 | 2022-02-08 15:47:18 | finenesses | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 246 | 2021-12-25 14:52:07 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 245 | 2021-12-15 00:02:24 | finenesses | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 244 | 2021-09-15 04:47:11 | finenesses | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 243 | 2021-06-15 05:24:52 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 242 | 2021-05-29 16:04:31 | finenesses | 3 | 140603 | 175 | 10.000 | 14060.3 |
| 241 | 2021-05-04 03:58:14 | finenesses | 3 | 140603 | 175 | 6.283 | 22378.3 |
| 240 | 2021-03-27 18:35:27 | finenesses | 1 | 67641 | 1 | 0.986 | 68601.4 |
| 239 | 2021-03-15 20:14:15 | finenesses | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 238 | 2021-02-12 18:00:14 | finenesses | 3 | 140603 | 175 | 6.076 | 23140.7 |
| 237 | 2021-01-17 08:15:40 | finenesses | 3 | 140603 | 175 | 5.516 | 25490.0 |
| 236 | 2021-01-11 01:47:00 | finenesses | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 235 | 2020-12-12 20:46:21 | finenesses | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 234 | 2020-11-09 04:31:36 | finenesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 233 | 2020-10-29 00:16:58 | finenesses | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 232 | 2020-10-28 13:51:37 | finenesses | 3 | 140603 | 175 | 6.126 | 22951.8 |
| 231 | 2020-10-23 16:42:09 | finenesses | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 230 | 2020-10-21 10:09:13 | finenesses | 1 | 67641 | 1 | 1.690 | 40024.3 |
| 229 | 2020-09-12 11:01:31 | finenesses | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 228 | 2020-09-07 22:20:40 | finenesses | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 227 | 2020-08-13 18:12:26 | finenesses | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 226 | 2020-07-15 01:32:36 | finenesses | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 225 | 2020-06-06 17:23:54 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 224 | 2020-03-25 07:33:15 | finenesses | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 223 | 2020-03-02 07:55:04 | finenesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 222 | 2020-02-23 16:27:49 | finenesses | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 221 | 2020-02-17 19:02:04 | finenesses | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 220 | 2020-02-14 04:58:25 | finenesses | 1 | 67641 | 1 | 2.013 | 33602.1 |