History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"capsulized"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 344 | 2025-09-19 17:31:41 | capsulized | 2 | 108824 | 6 | 3.123 | 34846.0 |
| 343 | 2025-09-14 13:06:34 | capsulized | 2 | 108824 | 6 | 3.076 | 35378.4 |
| 342 | 2025-09-12 01:34:27 | capsulized | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 341 | 2025-09-07 22:06:12 | capsulized | 3 | 140603 | 20 | 6.453 | 21788.8 |
| 340 | 2025-08-28 18:01:26 | capsulized | 3 | 140603 | 20 | 6.706 | 20966.7 |
| 339 | 2025-08-23 16:25:51 | capsulized | 1 | 67641 | 3 | 2.953 | 22905.9 |
| 338 | 2025-08-21 07:15:39 | capsulized | 3 | 140603 | 20 | 21.066 | 6674.4 |
| 337 | 2025-08-18 08:02:17 | capsulized | 3 | 140603 | 20 | 6.470 | 21731.5 |
| 336 | 2025-08-17 16:14:36 | capsulized | 1 | 67641 | 3 | 2.720 | 24868.0 |
| 335 | 2025-08-08 23:20:34 | capsulized | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 334 | 2025-08-08 22:46:29 | capsulized | 1 | 67641 | 3 | 3.186 | 21230.7 |
| 333 | 2025-08-04 09:07:13 | capsulized | 1 | 67641 | 3 | 4.593 | 14727.0 |
| 332 | 2025-08-03 21:53:36 | capsulized | 1 | 67641 | 3 | 3.940 | 17167.8 |
| 331 | 2025-08-03 06:35:44 | capsulized | 1 | 67641 | 3 | 5.203 | 13000.4 |
| 330 | 2025-07-27 09:41:27 | capsulized | 1 | 67641 | 3 | 4.656 | 14527.7 |
| 329 | 2025-07-19 03:35:10 | capsulized | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 328 | 2025-07-15 09:21:40 | capsulized | 3 | 140603 | 20 | 32.173 | 4370.2 |
| 327 | 2025-07-13 18:06:32 | capsulized | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 326 | 2025-07-04 09:13:05 | capsulized | 1 | 67641 | 3 | 5.860 | 11542.8 |
| 325 | 2025-06-26 21:31:03 | capsulized | 1 | 67641 | 3 | 5.310 | 12738.4 |
| 324 | 2025-06-16 14:35:24 | capsulized | 3 | 140603 | 20 | 35.533 | 3957.0 |
| 323 | 2025-06-16 14:24:17 | capsulized | 3 | 140603 | 20 | 31.546 | 4457.1 |
| 322 | 2025-06-10 12:56:31 | capsulized | 1 | 67641 | 3 | 5.623 | 12029.3 |
| 321 | 2025-06-02 17:25:00 | capsulized | 1 | 67641 | 3 | 6.486 | 10428.8 |
| 320 | 2025-05-27 14:59:08 | capsulized | 1 | 67641 | 3 | 4.450 | 15200.2 |
| 319 | 2025-05-27 02:56:45 | capsulized | 3 | 140603 | 20 | 39.000 | 3605.2 |
| 318 | 2025-05-23 22:55:56 | capsulized | 3 | 140603 | 20 | 29.873 | 4706.7 |
| 317 | 2025-05-23 21:52:09 | capsulized | 1 | 67641 | 3 | 4.610 | 14672.7 |
| 316 | 2025-05-22 07:51:37 | capsulized | 1 | 67641 | 3 | 3.843 | 17601.1 |
| 315 | 2025-05-01 20:40:50 | capsulized | 3 | 140603 | 20 | 33.800 | 4159.9 |
| 314 | 2025-04-30 17:33:08 | capsulized | 1 | 67641 | 3 | 2.860 | 23650.7 |
| 313 | 2025-04-29 08:15:42 | capsulized | 3 | 140603 | 20 | 35.753 | 3932.6 |
| 312 | 2025-04-28 20:47:43 | capsulized | 2 | 108824 | 6 | 8.640 | 12595.4 |
| 311 | 2025-04-27 17:14:18 | capsulized | 1 | 67641 | 3 | 1.060 | 63812.3 |
| 310 | 2025-04-20 20:58:33 | capsulized | 4 | 161450 | 101 | 55.036 | 2933.5 |
| 309 | 2025-04-18 14:13:33 | capsulized | 4 | 161450 | 101 | 57.270 | 2819.1 |
| 308 | 2025-04-18 12:44:31 | capsulized | 4 | 161450 | 101 | 39.360 | 4101.9 |
| 307 | 2025-04-16 20:33:19 | capsulized | 4 | 161450 | 101 | 10.440 | 15464.6 |
| 306 | 2025-04-11 15:31:18 | capsulized | 1 | 67641 | 3 | 2.483 | 27241.6 |
| 305 | 2025-03-31 22:22:06 | capsulized | 4 | 161450 | 101 | 30.766 | 5247.7 |
| 304 | 2025-03-26 22:35:06 | capsulized | 1 | 67641 | 3 | 2.593 | 26086.0 |
| 303 | 2025-03-16 02:20:14 | capsulized | 1 | 67641 | 3 | 5.453 | 12404.4 |
| 302 | 2025-03-14 08:53:42 | capsulized | 4 | 161450 | 101 | 83.490 | 1933.8 |
| 301 | 2025-03-13 05:11:47 | capsulized | 4 | 161450 | 101 | 74.473 | 2167.9 |
| 300 | 2025-03-12 07:13:36 | capsulized | 3 | 140603 | 20 | 28.876 | 4869.2 |
| 299 | 2025-03-10 01:11:02 | capsulized | 4 | 161450 | 101 | 70.316 | 2296.1 |
| 298 | 2025-03-10 01:11:02 | capsulized | 3 | 140603 | 20 | 30.910 | 4548.8 |
| 297 | 2025-03-10 01:11:01 | capsulized | 2 | 108824 | 6 | 8.080 | 13468.3 |
| 296 | 2025-03-10 01:10:58 | capsulized | 1 | 67641 | 3 | 8.373 | 8078.5 |
| 295 | 2025-02-04 14:54:45 | capsulized | 2 | 108824 | 6 | 19.250 | 5653.2 |
| 294 | 2025-02-04 14:54:17 | capsulized | 1 | 67641 | 3 | 3.970 | 17038.0 |
| 293 | 2025-02-01 23:43:34 | capsulized | 3 | 140603 | 20 | 24.940 | 5637.7 |
| 292 | 2025-02-01 14:42:50 | capsulized | 3 | 140603 | 20 | 39.376 | 3570.8 |
| 291 | 2025-02-01 00:23:39 | capsulized | 1 | 67641 | 3 | 4.296 | 15745.1 |
| 290 | 2025-01-29 22:08:42 | capsulized | 3 | 140603 | 20 | 43.206 | 3254.2 |
| 289 | 2025-01-29 22:08:45 | capsulized | 2 | 108824 | 6 | 7.810 | 13933.9 |
| 288 | 2025-01-29 22:07:43 | capsulized | 1 | 67641 | 3 | 2.406 | 28113.5 |
| 287 | 2025-01-29 22:05:39 | capsulized | 3 | 140603 | 20 | 16.876 | 8331.5 |
| 286 | 2025-01-29 15:04:46 | capsulized | 3 | 140603 | 20 | 32.500 | 4326.2 |
| 285 | 2025-01-29 09:23:38 | capsulized | 3 | 140603 | 20 | 36.050 | 3900.2 |
| 284 | 2025-01-29 06:30:50 | capsulized | 4 | 161450 | 101 | 39.003 | 4139.4 |
| 283 | 2025-01-29 06:30:47 | capsulized | 3 | 140603 | 20 | 42.033 | 3345.1 |
| 282 | 2025-01-29 06:30:57 | capsulized | 2 | 108824 | 6 | 12.906 | 8432.0 |
| 281 | 2025-01-29 06:26:52 | capsulized | 1 | 67641 | 3 | 3.750 | 18037.6 |
| 280 | 2024-12-28 16:06:42 | capsulized | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 279 | 2024-12-25 22:18:46 | capsulized | 2 | 108824 | 6 | 10.970 | 9920.1 |
| 278 | 2024-12-25 22:16:21 | capsulized | 1 | 67641 | 3 | 2.313 | 29243.8 |
| 277 | 2024-12-24 12:42:02 | capsulized | 3 | 140603 | 20 | 26.706 | 5264.8 |
| 276 | 2024-12-23 22:54:30 | capsulized | 3 | 140603 | 20 | 28.956 | 4855.7 |
| 275 | 2024-12-18 14:32:40 | capsulized | 2 | 108824 | 6 | 19.530 | 5572.1 |
| 274 | 2024-12-18 14:25:36 | capsulized | 1 | 67641 | 3 | 5.283 | 12803.5 |
| 273 | 2024-12-18 01:16:14 | capsulized | 3 | 140603 | 20 | 33.613 | 4183.0 |
| 272 | 2024-12-17 13:00:51 | capsulized | 4 | 161450 | 101 | 58.003 | 2783.5 |
| 271 | 2024-12-17 13:00:55 | capsulized | 3 | 140603 | 20 | 32.766 | 4291.1 |
| 270 | 2024-12-17 13:00:56 | capsulized | 2 | 108824 | 6 | 16.343 | 6658.8 |
| 269 | 2024-12-17 12:55:54 | capsulized | 1 | 67641 | 3 | 3.046 | 22206.5 |
| 268 | 2024-12-01 15:05:11 | capsulized | 3 | 140603 | 20 | 16.156 | 8702.8 |
| 267 | 2024-11-26 13:31:38 | capsulized | 3 | 140603 | 20 | 42.926 | 3275.5 |
| 266 | 2024-11-26 13:31:40 | capsulized | 2 | 108824 | 6 | 10.533 | 10331.7 |
| 265 | 2024-11-26 13:05:37 | capsulized | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 264 | 2024-11-25 00:21:04 | capsulized | 4 | 161450 | 101 | 54.283 | 2974.2 |
| 263 | 2024-11-21 02:57:04 | capsulized | 4 | 161450 | 101 | 69.036 | 2338.6 |
| 262 | 2024-11-16 01:41:44 | capsulized | 4 | 161450 | 101 | 75.803 | 2129.9 |
| 261 | 2024-11-15 16:21:19 | capsulized | 4 | 161450 | 101 | 55.236 | 2922.9 |
| 260 | 2024-11-15 16:21:41 | capsulized | 2 | 108824 | 6 | 18.890 | 5760.9 |
| 259 | 2024-11-15 16:21:20 | capsulized | 3 | 140603 | 20 | 17.436 | 8063.9 |
| 258 | 2024-11-15 16:19:27 | capsulized | 1 | 67641 | 3 | 8.176 | 8273.1 |
| 257 | 2024-11-15 06:40:23 | capsulized | 2 | 108824 | 6 | 11.683 | 9314.7 |
| 256 | 2024-11-15 06:37:31 | capsulized | 1 | 67641 | 3 | 2.263 | 29890.0 |
| 255 | 2024-11-14 18:41:39 | capsulized | 1 | 67641 | 3 | 2.800 | 24157.5 |
| 254 | 2024-10-23 14:19:26 | capsulized | 3 | 140603 | 20 | 28.126 | 4999.0 |
| 253 | 2024-10-23 14:19:22 | capsulized | 2 | 108824 | 6 | 18.253 | 5962.0 |
| 252 | 2024-10-23 14:19:21 | capsulized | 3 | 140603 | 20 | 18.296 | 7684.9 |
| 251 | 2024-10-22 16:41:25 | capsulized | 1 | 67641 | 3 | 5.313 | 12731.2 |
| 250 | 2024-10-22 14:25:27 | capsulized | 3 | 140603 | 20 | 44.893 | 3132.0 |
| 249 | 2024-10-20 18:15:23 | capsulized | 4 | 161450 | 101 | 44.396 | 3636.6 |
| 248 | 2024-10-20 18:15:11 | capsulized | 3 | 140603 | 20 | 30.880 | 4553.2 |
| 247 | 2024-10-20 18:15:05 | capsulized | 2 | 108824 | 6 | 15.236 | 7142.6 |
| 246 | 2024-10-19 21:52:24 | capsulized | 4 | 161450 | 101 | 59.083 | 2732.6 |
| 245 | 2024-10-19 21:52:25 | capsulized | 3 | 140603 | 20 | 29.000 | 4848.4 |