History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"compactest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 317 | 2025-10-27 04:55:03 | compactest | 3 | 140603 | 32 | 5.690 | 24710.5 |
| 316 | 2025-10-26 02:39:50 | compactest | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 315 | 2025-10-23 04:59:45 | compactest | 1 | 67641 | 1 | 6.923 | 9770.5 |
| 314 | 2025-10-23 04:59:22 | compactest | 1 | 67641 | 1 | 5.656 | 11959.2 |
| 313 | 2025-10-23 04:59:06 | compactest | 1 | 67641 | 1 | 8.393 | 8059.2 |
| 312 | 2025-10-23 04:58:44 | compactest | 1 | 67641 | 1 | 8.796 | 7690.0 |
| 311 | 2025-10-19 20:50:44 | compactest | 4 | 161450 | 150 | 50.956 | 3168.4 |
| 310 | 2025-10-16 05:53:57 | compactest | 4 | 161450 | 150 | 10.280 | 15705.3 |
| 309 | 2025-10-15 18:01:08 | compactest | 4 | 161450 | 150 | 10.046 | 16071.1 |
| 308 | 2025-10-14 07:43:39 | compactest | 3 | 140603 | 32 | 6.063 | 23190.3 |
| 307 | 2025-09-28 06:26:15 | compactest | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 306 | 2025-09-22 05:36:39 | compactest | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 305 | 2025-09-13 01:17:49 | compactest | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 304 | 2025-09-12 22:09:19 | compactest | 2 | 108824 | 7 | 2.923 | 37230.2 |
| 303 | 2025-09-12 11:09:45 | compactest | 3 | 140603 | 32 | 12.783 | 10999.2 |
| 302 | 2025-09-12 11:09:20 | compactest | 3 | 140603 | 32 | 11.143 | 12618.1 |
| 301 | 2025-09-11 23:34:06 | compactest | 2 | 108824 | 7 | 2.923 | 37230.2 |
| 300 | 2025-08-23 20:50:26 | compactest | 2 | 108824 | 7 | 2.686 | 40515.3 |
| 299 | 2025-08-21 06:28:13 | compactest | 1 | 67641 | 1 | 4.953 | 13656.6 |
| 298 | 2025-08-20 05:16:07 | compactest | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 297 | 2025-08-16 05:27:05 | compactest | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 296 | 2025-08-13 09:08:07 | compactest | 1 | 67641 | 1 | 2.940 | 23007.1 |
| 295 | 2025-07-27 06:34:04 | compactest | 1 | 67641 | 1 | 6.690 | 10110.8 |
| 294 | 2025-07-24 06:43:04 | compactest | 1 | 67641 | 1 | 5.393 | 12542.4 |
| 293 | 2025-07-23 23:15:21 | compactest | 1 | 67641 | 1 | 7.783 | 8690.9 |
| 292 | 2025-07-22 12:43:00 | compactest | 1 | 67641 | 1 | 5.703 | 11860.6 |
| 291 | 2025-07-14 19:58:53 | compactest | 3 | 140603 | 32 | 48.476 | 2900.5 |
| 290 | 2025-07-14 06:04:15 | compactest | 3 | 140603 | 32 | 36.470 | 3855.3 |
| 289 | 2025-07-13 06:40:37 | compactest | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 288 | 2025-06-26 06:09:35 | compactest | 1 | 67641 | 1 | 5.610 | 12057.2 |
| 287 | 2025-06-16 05:47:19 | compactest | 1 | 67641 | 1 | 4.173 | 16209.2 |
| 286 | 2025-05-31 19:32:34 | compactest | 1 | 67641 | 1 | 6.656 | 10162.4 |
| 285 | 2025-05-26 06:37:37 | compactest | 1 | 67641 | 1 | 4.000 | 16910.3 |
| 284 | 2025-05-14 16:33:12 | compactest | 1 | 67641 | 1 | 5.813 | 11636.2 |
| 283 | 2025-05-10 06:45:39 | compactest | 1 | 67641 | 1 | 5.670 | 11929.6 |
| 282 | 2025-04-30 03:00:33 | compactest | 1 | 67641 | 1 | 4.983 | 13574.4 |
| 281 | 2025-04-29 21:42:24 | compactest | 3 | 140603 | 32 | 23.346 | 6022.6 |
| 280 | 2025-04-26 05:55:05 | compactest | 1 | 67641 | 1 | 3.940 | 17167.8 |
| 279 | 2025-04-26 02:18:37 | compactest | 3 | 140603 | 32 | 28.226 | 4981.3 |
| 278 | 2025-04-25 04:45:17 | compactest | 3 | 140603 | 32 | 27.960 | 5028.7 |
| 277 | 2025-04-21 14:21:42 | compactest | 3 | 140603 | 32 | 42.143 | 3336.3 |
| 276 | 2025-04-21 07:13:10 | compactest | 3 | 140603 | 32 | 39.970 | 3517.7 |
| 275 | 2025-04-20 04:26:54 | compactest | 1 | 67641 | 1 | 4.016 | 16842.9 |
| 274 | 2025-03-29 04:07:52 | compactest | 1 | 67641 | 1 | 3.190 | 21204.1 |
| 273 | 2025-03-25 07:16:37 | compactest | 1 | 67641 | 1 | 5.736 | 11792.4 |
| 272 | 2025-03-15 04:17:27 | compactest | 3 | 140603 | 32 | 27.673 | 5080.9 |
| 271 | 2025-03-10 03:36:22 | compactest | 1 | 67641 | 1 | 6.706 | 10086.6 |
| 270 | 2025-03-09 23:35:06 | compactest | 4 | 161450 | 150 | 56.190 | 2873.3 |
| 269 | 2025-03-09 19:26:52 | compactest | 4 | 161450 | 150 | 32.500 | 4967.7 |
| 268 | 2025-03-09 05:00:05 | compactest | 3 | 140603 | 32 | 26.683 | 5269.4 |
| 267 | 2025-03-09 05:00:03 | compactest | 2 | 108824 | 7 | 13.920 | 7817.8 |
| 266 | 2025-03-09 04:59:14 | compactest | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 265 | 2025-03-08 11:38:44 | compactest | 3 | 140603 | 32 | 33.596 | 4185.1 |
| 264 | 2025-03-08 07:58:49 | compactest | 3 | 140603 | 32 | 41.156 | 3416.3 |
| 263 | 2025-03-08 07:58:50 | compactest | 3 | 140603 | 32 | 33.143 | 4242.3 |
| 262 | 2025-03-08 04:26:30 | compactest | 4 | 161450 | 150 | 86.783 | 1860.4 |
| 261 | 2025-03-08 04:26:30 | compactest | 3 | 140603 | 32 | 33.610 | 4183.4 |
| 260 | 2025-03-08 04:26:28 | compactest | 2 | 108824 | 7 | 15.313 | 7106.6 |
| 259 | 2025-03-08 04:24:49 | compactest | 1 | 67641 | 1 | 2.533 | 26703.9 |
| 258 | 2025-02-07 16:09:00 | compactest | 3 | 140603 | 32 | 27.206 | 5168.1 |
| 257 | 2025-02-04 19:58:17 | compactest | 1 | 67641 | 1 | 5.623 | 12029.3 |
| 256 | 2025-02-04 04:30:28 | compactest | 3 | 140603 | 32 | 39.743 | 3537.8 |
| 255 | 2025-02-04 02:51:32 | compactest | 1 | 67641 | 1 | 5.873 | 11517.3 |
| 254 | 2025-01-29 04:03:31 | compactest | 3 | 140603 | 32 | 32.330 | 4349.0 |
| 253 | 2025-01-29 03:54:56 | compactest | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 252 | 2025-01-16 04:08:10 | compactest | 3 | 140603 | 32 | 39.486 | 3560.8 |
| 251 | 2025-01-16 04:08:11 | compactest | 2 | 108824 | 7 | 15.983 | 6808.7 |
| 250 | 2025-01-16 04:07:47 | compactest | 3 | 140603 | 32 | 29.440 | 4775.9 |
| 249 | 2025-01-16 04:02:14 | compactest | 1 | 67641 | 1 | 4.656 | 14527.7 |
| 248 | 2025-01-07 05:16:07 | compactest | 3 | 140603 | 32 | 32.190 | 4367.9 |
| 247 | 2025-01-02 03:35:30 | compactest | 3 | 140603 | 32 | 32.533 | 4321.9 |
| 246 | 2025-01-02 03:35:31 | compactest | 2 | 108824 | 7 | 13.906 | 7825.7 |
| 245 | 2025-01-02 03:35:12 | compactest | 1 | 67641 | 1 | 4.563 | 14823.8 |
| 244 | 2024-12-09 18:09:02 | compactest | 1 | 67641 | 1 | 4.576 | 14781.7 |
| 243 | 2024-12-07 11:18:42 | compactest | 1 | 67641 | 1 | 5.126 | 13195.7 |
| 242 | 2024-12-04 16:44:16 | compactest | 4 | 161450 | 150 | 68.453 | 2358.6 |
| 241 | 2024-12-04 10:38:01 | compactest | 4 | 161450 | 150 | 70.173 | 2300.7 |
| 240 | 2024-12-03 20:15:36 | compactest | 4 | 161450 | 150 | 58.173 | 2775.3 |
| 239 | 2024-12-03 14:40:00 | compactest | 4 | 161450 | 150 | 45.736 | 3530.0 |
| 238 | 2024-12-03 14:36:00 | compactest | 1 | 67641 | 1 | 3.153 | 21452.9 |
| 237 | 2024-11-30 12:12:53 | compactest | 3 | 140603 | 32 | 27.736 | 5069.3 |
| 236 | 2024-11-26 20:47:50 | compactest | 3 | 140603 | 32 | 29.343 | 4791.7 |
| 235 | 2024-11-26 20:46:41 | compactest | 2 | 108824 | 7 | 15.720 | 6922.6 |
| 234 | 2024-11-26 12:33:30 | compactest | 3 | 140603 | 32 | 32.706 | 4299.0 |
| 233 | 2024-11-23 19:33:26 | compactest | 3 | 140603 | 32 | 42.053 | 3343.5 |
| 232 | 2024-11-23 19:33:26 | compactest | 2 | 108824 | 7 | 16.296 | 6678.0 |
| 231 | 2024-11-23 19:30:18 | compactest | 1 | 67641 | 1 | 5.123 | 13203.4 |
| 230 | 2024-11-07 13:07:01 | compactest | 1 | 67641 | 1 | 6.000 | 11273.5 |
| 229 | 2024-11-04 03:05:04 | compactest | 1 | 67641 | 1 | 5.906 | 11452.9 |
| 228 | 2024-10-27 02:23:52 | compactest | 3 | 140603 | 32 | 49.316 | 2851.1 |
| 227 | 2024-10-27 02:23:42 | compactest | 2 | 108824 | 7 | 16.110 | 6755.1 |
| 226 | 2024-10-22 06:11:18 | compactest | 1 | 67641 | 1 | 2.563 | 26391.3 |
| 225 | 2024-10-21 08:12:14 | compactest | 2 | 108824 | 7 | 16.126 | 6748.4 |
| 224 | 2024-10-20 03:54:36 | compactest | 3 | 140603 | 32 | 40.693 | 3455.2 |
| 223 | 2024-10-20 03:54:45 | compactest | 3 | 140603 | 32 | 26.846 | 5237.4 |
| 222 | 2024-10-19 09:55:58 | compactest | 3 | 140603 | 32 | 33.360 | 4214.7 |
| 221 | 2024-10-19 09:55:01 | compactest | 3 | 140603 | 32 | 21.453 | 6554.0 |
| 220 | 2024-10-19 09:55:01 | compactest | 2 | 108824 | 7 | 11.690 | 9309.2 |
| 219 | 2024-10-18 13:13:52 | compactest | 3 | 140603 | 32 | 33.500 | 4197.1 |
| 218 | 2024-10-16 01:56:18 | compactest | 3 | 140603 | 32 | 42.876 | 3279.3 |