History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"specialest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 321 | 2025-12-05 06:06:45 | specialest | 2 | 108824 | 9 | 3.250 | 33484.3 |
| 320 | 2025-11-28 21:09:39 | specialest | 4 | 161450 | 145 | 31.750 | 5085.0 |
| 319 | 2025-11-26 13:57:57 | specialest | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 318 | 2025-11-16 03:14:39 | specialest | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 317 | 2025-11-16 02:01:15 | specialest | 3 | 140603 | 31 | 9.313 | 15097.5 |
| 316 | 2025-11-14 23:29:56 | specialest | 3 | 140603 | 31 | 6.796 | 20689.1 |
| 315 | 2025-11-07 16:28:25 | specialest | 4 | 161450 | 145 | 10.143 | 15917.4 |
| 314 | 2025-11-01 07:13:49 | specialest | 3 | 140603 | 31 | 17.596 | 7990.6 |
| 313 | 2025-10-31 10:09:35 | specialest | 3 | 140603 | 31 | 5.626 | 24991.6 |
| 312 | 2025-10-30 13:20:45 | specialest | 2 | 108824 | 9 | 3.156 | 34481.6 |
| 311 | 2025-10-23 19:52:18 | specialest | 3 | 140603 | 31 | 48.456 | 2901.7 |
| 310 | 2025-10-23 19:52:18 | specialest | 2 | 108824 | 9 | 14.920 | 7293.8 |
| 309 | 2025-10-23 19:51:38 | specialest | 3 | 140603 | 31 | 22.316 | 6300.5 |
| 308 | 2025-10-23 19:51:38 | specialest | 2 | 108824 | 9 | 13.890 | 7834.7 |
| 307 | 2025-10-23 18:06:48 | specialest | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 306 | 2025-10-20 11:16:44 | specialest | 4 | 161450 | 145 | 68.736 | 2348.8 |
| 305 | 2025-10-20 11:16:27 | specialest | 4 | 161450 | 145 | 58.910 | 2740.6 |
| 304 | 2025-10-20 11:16:21 | specialest | 4 | 161450 | 145 | 54.036 | 2987.8 |
| 303 | 2025-10-20 11:16:03 | specialest | 4 | 161450 | 145 | 50.970 | 3167.5 |
| 302 | 2025-10-19 21:22:35 | specialest | 4 | 161450 | 145 | 61.910 | 2607.8 |
| 301 | 2025-10-09 13:57:01 | specialest | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 300 | 2025-09-21 05:41:46 | specialest | 4 | 161450 | 145 | 10.346 | 15605.1 |
| 299 | 2025-09-12 12:48:11 | specialest | 3 | 140603 | 31 | 10.500 | 13390.8 |
| 298 | 2025-09-12 04:22:17 | specialest | 2 | 108824 | 9 | 2.750 | 39572.4 |
| 297 | 2025-09-11 07:35:11 | specialest | 4 | 161450 | 145 | 11.126 | 14511.1 |
| 296 | 2025-09-11 01:19:27 | specialest | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 295 | 2025-09-02 18:02:29 | specialest | 4 | 161450 | 145 | 10.906 | 14803.8 |
| 294 | 2025-08-27 14:31:43 | specialest | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 293 | 2025-08-22 03:12:26 | specialest | 2 | 108824 | 9 | 3.076 | 35378.4 |
| 292 | 2025-08-19 01:10:12 | specialest | 1 | 67641 | 2 | 3.000 | 22547.0 |
| 291 | 2025-08-18 19:46:23 | specialest | 1 | 67641 | 2 | 8.470 | 7986.0 |
| 290 | 2025-08-18 10:18:58 | specialest | 3 | 140603 | 31 | 5.763 | 24397.5 |
| 289 | 2025-08-17 19:24:47 | specialest | 2 | 108824 | 9 | 23.533 | 4624.3 |
| 288 | 2025-08-17 19:12:00 | specialest | 3 | 140603 | 31 | 32.830 | 4282.8 |
| 287 | 2025-08-16 12:26:57 | specialest | 1 | 67641 | 2 | 1.060 | 63812.3 |
| 286 | 2025-08-12 23:00:11 | specialest | 3 | 140603 | 31 | 16.456 | 8544.2 |
| 285 | 2025-08-11 08:21:33 | specialest | 2 | 108824 | 9 | 2.686 | 40515.3 |
| 284 | 2025-08-11 04:33:44 | specialest | 3 | 140603 | 31 | 25.393 | 5537.1 |
| 283 | 2025-08-09 08:22:14 | specialest | 1 | 67641 | 2 | 5.346 | 12652.6 |
| 282 | 2025-08-09 06:26:33 | specialest | 1 | 67641 | 2 | 9.580 | 7060.6 |
| 281 | 2025-08-08 04:31:49 | specialest | 3 | 140603 | 31 | 6.563 | 21423.6 |
| 280 | 2025-08-04 02:00:07 | specialest | 1 | 67641 | 2 | 2.030 | 33320.7 |
| 279 | 2025-08-01 19:15:13 | specialest | 2 | 108824 | 9 | 15.453 | 7042.3 |
| 278 | 2025-07-31 23:59:33 | specialest | 3 | 140603 | 31 | 43.940 | 3199.9 |
| 277 | 2025-07-31 21:06:38 | specialest | 4 | 161450 | 145 | 68.560 | 2354.9 |
| 276 | 2025-07-31 06:41:04 | specialest | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 275 | 2025-07-29 19:31:21 | specialest | 4 | 161450 | 145 | 30.326 | 5323.8 |
| 274 | 2025-07-24 14:13:04 | specialest | 1 | 67641 | 2 | 5.220 | 12958.0 |
| 273 | 2025-07-24 07:20:22 | specialest | 1 | 67641 | 2 | 3.580 | 18894.1 |
| 272 | 2025-07-21 04:59:48 | specialest | 4 | 161450 | 145 | 15.576 | 10365.3 |
| 271 | 2025-07-21 04:13:23 | specialest | 2 | 108824 | 9 | 2.970 | 36641.1 |
| 270 | 2025-07-21 03:47:18 | specialest | 3 | 140603 | 31 | 6.890 | 20406.8 |
| 269 | 2025-07-13 01:21:22 | specialest | 1 | 67641 | 2 | 2.080 | 32519.7 |
| 268 | 2025-07-09 14:07:01 | specialest | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 267 | 2025-07-08 06:13:05 | specialest | 1 | 67641 | 2 | 5.626 | 12022.9 |
| 266 | 2025-07-05 15:43:15 | specialest | 1 | 67641 | 2 | 4.890 | 13832.5 |
| 265 | 2025-06-28 06:54:26 | specialest | 1 | 67641 | 2 | 4.750 | 14240.2 |
| 264 | 2025-06-15 10:45:00 | specialest | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 263 | 2025-06-14 20:22:33 | specialest | 1 | 67641 | 2 | 3.563 | 18984.3 |
| 262 | 2025-06-08 05:20:45 | specialest | 1 | 67641 | 2 | 5.280 | 12810.8 |
| 261 | 2025-06-07 10:28:13 | specialest | 1 | 67641 | 2 | 1.076 | 62863.4 |
| 260 | 2025-06-06 11:10:10 | specialest | 1 | 67641 | 2 | 5.966 | 11337.7 |
| 259 | 2025-05-29 11:14:12 | specialest | 3 | 140603 | 31 | 41.440 | 3392.9 |
| 258 | 2025-05-25 07:07:27 | specialest | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 257 | 2025-05-19 06:09:00 | specialest | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 256 | 2025-04-28 17:56:08 | specialest | 1 | 67641 | 2 | 2.406 | 28113.5 |
| 255 | 2025-04-26 14:49:22 | specialest | 1 | 67641 | 2 | 7.233 | 9351.7 |
| 254 | 2025-04-26 05:00:26 | specialest | 1 | 67641 | 2 | 8.610 | 7856.1 |
| 253 | 2025-04-24 01:07:25 | specialest | 1 | 67641 | 2 | 4.936 | 13703.6 |
| 252 | 2025-03-23 23:16:57 | specialest | 1 | 67641 | 2 | 2.986 | 22652.7 |
| 251 | 2025-03-15 05:20:53 | specialest | 1 | 67641 | 2 | 4.326 | 15635.9 |
| 250 | 2025-02-26 08:43:09 | specialest | 1 | 67641 | 2 | 5.030 | 13447.5 |
| 249 | 2025-02-16 09:35:07 | specialest | 3 | 140603 | 31 | 28.483 | 4936.4 |
| 248 | 2025-02-12 00:56:48 | specialest | 3 | 140603 | 31 | 35.673 | 3941.4 |
| 247 | 2025-02-04 02:24:28 | specialest | 1 | 67641 | 2 | 2.796 | 24192.1 |
| 246 | 2025-02-02 19:38:00 | specialest | 2 | 108824 | 9 | 15.156 | 7180.3 |
| 245 | 2025-02-02 19:34:33 | specialest | 1 | 67641 | 2 | 2.733 | 24749.7 |
| 244 | 2025-02-01 07:04:03 | specialest | 3 | 140603 | 31 | 35.173 | 3997.5 |
| 243 | 2025-01-31 17:55:40 | specialest | 3 | 140603 | 31 | 32.423 | 4336.5 |
| 242 | 2025-01-29 06:22:04 | specialest | 4 | 161450 | 145 | 65.690 | 2457.8 |
| 241 | 2025-01-29 06:22:02 | specialest | 3 | 140603 | 31 | 30.830 | 4560.6 |
| 240 | 2025-01-29 06:21:59 | specialest | 2 | 108824 | 9 | 15.720 | 6922.6 |
| 239 | 2025-01-29 06:19:59 | specialest | 1 | 67641 | 2 | 5.500 | 12298.4 |
| 238 | 2025-01-04 22:49:43 | specialest | 4 | 161450 | 145 | 84.583 | 1908.8 |
| 237 | 2025-01-04 16:42:57 | specialest | 3 | 140603 | 31 | 22.893 | 6141.7 |
| 236 | 2025-01-04 16:42:54 | specialest | 3 | 140603 | 31 | 23.566 | 5966.3 |
| 235 | 2025-01-04 16:39:30 | specialest | 1 | 67641 | 2 | 3.716 | 18202.6 |
| 234 | 2025-01-04 02:01:24 | specialest | 1 | 67641 | 2 | 6.000 | 11273.5 |
| 233 | 2025-01-01 03:24:13 | specialest | 4 | 161450 | 145 | 57.753 | 2795.5 |
| 232 | 2025-01-01 03:24:15 | specialest | 3 | 140603 | 31 | 30.800 | 4565.0 |
| 231 | 2025-01-01 03:22:43 | specialest | 1 | 67641 | 2 | 1.266 | 53428.9 |
| 230 | 2024-12-26 09:07:44 | specialest | 1 | 67641 | 2 | 1.200 | 56367.5 |
| 229 | 2024-12-03 09:31:40 | specialest | 2 | 108824 | 9 | 21.186 | 5136.6 |
| 228 | 2024-12-02 03:52:03 | specialest | 1 | 67641 | 2 | 5.283 | 12803.5 |
| 227 | 2024-11-28 18:24:35 | specialest | 2 | 108824 | 9 | 8.126 | 13392.1 |
| 226 | 2024-11-28 12:15:31 | specialest | 1 | 67641 | 2 | 4.156 | 16275.5 |
| 225 | 2024-10-28 06:04:37 | specialest | 2 | 108824 | 9 | 7.420 | 14666.3 |
| 224 | 2024-10-28 06:03:30 | specialest | 1 | 67641 | 2 | 5.860 | 11542.8 |
| 223 | 2024-10-24 22:25:34 | specialest | 4 | 161450 | 145 | 88.180 | 1830.9 |
| 222 | 2024-10-23 23:52:48 | specialest | 3 | 140603 | 31 | 28.330 | 4963.0 |