History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"phenomena"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 309 | 2025-09-08 14:28:01 | phenomena | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 308 | 2025-08-25 05:32:46 | phenomena | 1 | 81242 | 3 | 4.063 | 19995.6 |
| 307 | 2025-08-21 01:10:19 | phenomena | 1 | 81242 | 3 | 3.153 | 25766.6 |
| 306 | 2025-08-10 21:00:39 | phenomena | 1 | 81242 | 3 | 3.170 | 25628.4 |
| 305 | 2025-08-09 11:48:22 | phenomena | 1 | 81242 | 3 | 6.483 | 12531.5 |
| 304 | 2025-08-03 06:26:27 | phenomena | 1 | 81242 | 3 | 9.610 | 8453.9 |
| 303 | 2025-07-24 17:36:32 | phenomena | 1 | 81242 | 3 | 4.343 | 18706.4 |
| 302 | 2025-07-23 17:39:30 | phenomena | 1 | 81242 | 3 | 8.173 | 9940.3 |
| 301 | 2025-07-22 01:52:29 | phenomena | 1 | 81242 | 3 | 1.403 | 57905.9 |
| 300 | 2025-07-17 07:43:47 | phenomena | 3 | 148641 | 20 | 31.093 | 4780.5 |
| 299 | 2025-07-16 05:26:39 | phenomena | 1 | 81242 | 3 | 6.906 | 11764.0 |
| 298 | 2025-07-14 03:08:41 | phenomena | 1 | 81242 | 3 | 6.720 | 12089.6 |
| 297 | 2025-07-10 13:34:29 | phenomena | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 296 | 2025-07-07 23:06:01 | phenomena | 4 | 165329 | 116 | 57.346 | 2883.0 |
| 295 | 2025-07-02 02:16:15 | phenomena | 4 | 165329 | 116 | 80.286 | 2059.3 |
| 294 | 2025-06-28 08:33:49 | phenomena | 4 | 165329 | 116 | 63.740 | 2593.8 |
| 293 | 2025-06-11 05:30:48 | phenomena | 3 | 148641 | 20 | 28.986 | 5128.0 |
| 292 | 2025-06-09 20:59:01 | phenomena | 1 | 81242 | 3 | 6.830 | 11894.9 |
| 291 | 2025-06-08 03:04:35 | phenomena | 3 | 148641 | 20 | 20.593 | 7218.0 |
| 290 | 2025-06-04 04:35:59 | phenomena | 3 | 148641 | 20 | 39.123 | 3799.3 |
| 289 | 2025-06-03 20:15:40 | phenomena | 3 | 148641 | 20 | 37.016 | 4015.6 |
| 288 | 2025-05-31 03:42:17 | phenomena | 1 | 81242 | 3 | 7.923 | 10253.9 |
| 287 | 2025-05-26 02:42:15 | phenomena | 1 | 81242 | 3 | 5.906 | 13755.8 |
| 286 | 2025-05-23 04:27:26 | phenomena | 1 | 81242 | 3 | 3.546 | 22910.9 |
| 285 | 2025-05-23 04:13:00 | phenomena | 1 | 81242 | 3 | 3.030 | 26812.5 |
| 284 | 2025-05-23 03:48:03 | phenomena | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 283 | 2025-05-23 03:34:41 | phenomena | 1 | 81242 | 3 | 6.346 | 12802.1 |
| 282 | 2025-05-23 03:21:14 | phenomena | 1 | 81242 | 3 | 6.783 | 11977.3 |
| 281 | 2025-05-19 12:25:43 | phenomena | 3 | 148641 | 20 | 6.800 | 21859.0 |
| 280 | 2025-05-18 05:00:54 | phenomena | 1 | 81242 | 3 | 10.143 | 8009.7 |
| 279 | 2025-05-01 02:53:31 | phenomena | 3 | 148641 | 20 | 37.580 | 3955.3 |
| 278 | 2025-04-28 10:51:14 | phenomena | 1 | 81242 | 3 | 6.280 | 12936.6 |
| 277 | 2025-04-26 10:42:33 | phenomena | 1 | 81242 | 3 | 3.513 | 23126.1 |
| 276 | 2025-04-26 06:00:27 | phenomena | 3 | 148641 | 20 | 35.143 | 4229.6 |
| 275 | 2025-04-20 21:17:53 | phenomena | 1 | 81242 | 3 | 6.516 | 12468.1 |
| 274 | 2025-04-16 14:13:27 | phenomena | 4 | 165329 | 116 | 64.506 | 2563.0 |
| 273 | 2025-04-14 10:10:24 | phenomena | 4 | 165329 | 116 | 49.753 | 3323.0 |
| 272 | 2025-04-13 21:50:42 | phenomena | 2 | 121436 | 7 | 11.203 | 10839.6 |
| 271 | 2025-04-13 04:49:53 | phenomena | 3 | 148641 | 20 | 6.983 | 21286.1 |
| 270 | 2025-04-11 16:14:36 | phenomena | 3 | 148641 | 20 | 43.423 | 3423.1 |
| 269 | 2025-03-23 16:37:29 | phenomena | 2 | 121436 | 7 | 18.970 | 6401.5 |
| 268 | 2025-03-23 02:33:10 | phenomena | 1 | 81242 | 3 | 9.623 | 8442.5 |
| 267 | 2025-03-19 22:15:54 | phenomena | 1 | 81242 | 3 | 3.403 | 23873.6 |
| 266 | 2025-03-18 16:57:31 | phenomena | 3 | 148641 | 20 | 6.563 | 22648.3 |
| 265 | 2025-03-16 19:39:14 | phenomena | 3 | 148641 | 20 | 35.983 | 4130.9 |
| 264 | 2025-03-13 14:57:49 | phenomena | 3 | 148641 | 20 | 48.440 | 3068.6 |
| 263 | 2025-03-06 11:30:30 | phenomena | 2 | 121436 | 7 | 14.173 | 8568.1 |
| 262 | 2025-03-06 11:28:31 | phenomena | 1 | 81242 | 3 | 6.873 | 11820.5 |
| 261 | 2025-03-05 23:55:28 | phenomena | 3 | 148641 | 20 | 36.800 | 4039.2 |
| 260 | 2025-02-16 05:39:31 | phenomena | 2 | 121436 | 7 | 25.813 | 4704.5 |
| 259 | 2025-02-15 20:04:46 | phenomena | 2 | 121436 | 7 | 14.046 | 8645.6 |
| 258 | 2025-02-13 19:21:34 | phenomena | 3 | 148641 | 20 | 27.406 | 5423.7 |
| 257 | 2025-02-13 15:58:40 | phenomena | 3 | 148641 | 20 | 36.240 | 4101.6 |
| 256 | 2025-02-13 15:58:28 | phenomena | 2 | 121436 | 7 | 19.500 | 6227.5 |
| 255 | 2025-02-10 09:22:02 | phenomena | 1 | 81242 | 3 | 5.140 | 15805.8 |
| 254 | 2025-02-06 15:44:57 | phenomena | 1 | 81242 | 3 | 5.253 | 15465.8 |
| 253 | 2025-02-03 19:48:34 | phenomena | 3 | 148641 | 20 | 37.190 | 3996.8 |
| 252 | 2025-01-30 21:28:56 | phenomena | 3 | 148641 | 20 | 29.830 | 4982.9 |
| 251 | 2025-01-29 01:57:16 | phenomena | 1 | 81242 | 3 | 8.830 | 9200.7 |
| 250 | 2025-01-25 19:02:17 | phenomena | 1 | 81242 | 3 | 5.016 | 16196.6 |
| 249 | 2025-01-22 20:21:05 | phenomena | 3 | 148641 | 20 | 49.376 | 3010.4 |
| 248 | 2025-01-09 21:29:10 | phenomena | 1 | 81242 | 3 | 3.656 | 22221.6 |
| 247 | 2025-01-05 01:06:55 | phenomena | 3 | 148641 | 20 | 35.843 | 4147.0 |
| 246 | 2025-01-02 01:29:54 | phenomena | 3 | 148641 | 20 | 42.380 | 3507.3 |
| 245 | 2025-01-02 01:30:09 | phenomena | 2 | 121436 | 7 | 17.456 | 6956.7 |
| 244 | 2024-12-22 04:27:19 | phenomena | 3 | 148641 | 20 | 43.610 | 3408.4 |
| 243 | 2024-12-22 04:27:11 | phenomena | 3 | 148641 | 20 | 26.673 | 5572.7 |
| 242 | 2024-12-22 04:27:23 | phenomena | 2 | 121436 | 7 | 13.470 | 9015.3 |
| 241 | 2024-12-22 04:26:52 | phenomena | 1 | 81242 | 3 | 2.266 | 35852.6 |
| 240 | 2024-12-19 02:19:52 | phenomena | 2 | 121436 | 7 | 18.063 | 6722.9 |
| 239 | 2024-12-19 02:18:40 | phenomena | 1 | 81242 | 3 | 6.686 | 12151.1 |
| 238 | 2024-12-17 09:31:35 | phenomena | 3 | 148641 | 20 | 37.126 | 4003.7 |
| 237 | 2024-12-16 04:16:54 | phenomena | 1 | 81242 | 3 | 6.610 | 12290.8 |
| 236 | 2024-12-10 20:55:19 | phenomena | 3 | 148641 | 20 | 37.173 | 3998.6 |
| 235 | 2024-12-01 10:38:17 | phenomena | 3 | 148641 | 20 | 40.943 | 3630.4 |
| 234 | 2024-11-29 20:21:31 | phenomena | 3 | 148641 | 20 | 19.876 | 7478.4 |
| 233 | 2024-11-29 00:35:15 | phenomena | 1 | 81242 | 3 | 7.420 | 10949.1 |
| 232 | 2024-11-17 17:58:53 | phenomena | 2 | 121436 | 7 | 20.296 | 5983.2 |
| 231 | 2024-11-16 11:03:24 | phenomena | 3 | 148641 | 20 | 31.626 | 4700.0 |
| 230 | 2024-11-16 11:03:03 | phenomena | 2 | 121436 | 7 | 12.110 | 10027.7 |
| 229 | 2024-11-16 11:02:23 | phenomena | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 228 | 2024-11-15 01:40:04 | phenomena | 3 | 148641 | 20 | 33.723 | 4407.7 |
| 227 | 2024-11-13 12:01:40 | phenomena | 1 | 81242 | 3 | 5.093 | 15951.7 |
| 226 | 2024-11-01 19:54:48 | phenomena | 3 | 148641 | 20 | 29.423 | 5051.9 |
| 225 | 2024-10-30 17:42:55 | phenomena | 3 | 148641 | 20 | 33.626 | 4420.4 |
| 224 | 2024-10-30 02:06:08 | phenomena | 4 | 165329 | 116 | 70.963 | 2329.8 |
| 223 | 2024-10-30 02:06:23 | phenomena | 3 | 148641 | 20 | 38.763 | 3834.6 |
| 222 | 2024-10-30 02:06:15 | phenomena | 2 | 121436 | 7 | 18.283 | 6642.0 |
| 221 | 2024-10-30 01:34:08 | phenomena | 1 | 81242 | 3 | 2.843 | 28576.2 |
| 220 | 2024-10-16 16:28:55 | phenomena | 3 | 148641 | 20 | 25.533 | 5821.5 |
| 219 | 2024-10-16 16:28:57 | phenomena | 2 | 121436 | 7 | 17.390 | 6983.1 |
| 218 | 2024-10-16 05:32:25 | phenomena | 3 | 148641 | 20 | 45.080 | 3297.3 |
| 217 | 2024-10-12 04:06:21 | phenomena | 3 | 148641 | 20 | 34.923 | 4256.2 |
| 216 | 2024-09-18 19:52:49 | phenomena | 1 | 81242 | 3 | 10.050 | 8083.8 |
| 215 | 2024-09-17 13:54:02 | phenomena | 1 | 81242 | 3 | 12.296 | 6607.2 |
| 214 | 2024-09-16 07:31:50 | phenomena | 1 | 81242 | 3 | 5.623 | 14448.2 |
| 213 | 2024-09-15 23:55:12 | phenomena | 3 | 148641 | 20 | 56.603 | 2626.0 |
| 212 | 2024-09-15 21:16:26 | phenomena | 1 | 81242 | 3 | 12.156 | 6683.3 |
| 211 | 2024-09-12 00:50:18 | phenomena | 3 | 148641 | 20 | 78.843 | 1885.3 |
| 210 | 2024-08-15 12:19:30 | phenomena | 1 | 81242 | 3 | 6.313 | 12869.0 |