History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biyearly"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 337 | 2025-10-12 12:57:00 | biyearly | 1 | 82945 | 1 | 1.313 | 63172.1 |
| 336 | 2025-09-19 16:41:58 | biyearly | 3 | 146162 | 30 | 7.393 | 19770.3 |
| 335 | 2025-09-12 02:04:50 | biyearly | 1 | 82945 | 1 | 1.420 | 58412.0 |
| 334 | 2025-09-10 06:18:09 | biyearly | 2 | 121059 | 3 | 3.313 | 36540.6 |
| 333 | 2025-09-08 08:47:06 | biyearly | 3 | 146162 | 30 | 7.470 | 19566.5 |
| 332 | 2025-08-31 23:34:21 | biyearly | 4 | 161609 | 365 | 12.143 | 13308.8 |
| 331 | 2025-08-31 10:14:20 | biyearly | 4 | 161609 | 365 | 10.563 | 15299.5 |
| 330 | 2025-08-30 05:54:24 | biyearly | 1 | 82945 | 1 | 1.280 | 64800.8 |
| 329 | 2025-08-30 00:09:25 | biyearly | 4 | 161609 | 365 | 12.313 | 13125.1 |
| 328 | 2025-08-29 18:54:15 | biyearly | 2 | 121059 | 3 | 4.783 | 25310.3 |
| 327 | 2025-08-29 18:52:26 | biyearly | 3 | 146162 | 30 | 6.750 | 21653.6 |
| 326 | 2025-08-10 11:09:34 | biyearly | 3 | 146162 | 30 | 17.610 | 8299.9 |
| 325 | 2025-08-06 11:43:39 | biyearly | 3 | 146162 | 30 | 37.206 | 3928.5 |
| 324 | 2025-08-04 11:57:46 | biyearly | 2 | 121059 | 3 | 16.186 | 7479.2 |
| 323 | 2025-08-04 10:09:20 | biyearly | 3 | 146162 | 30 | 33.296 | 4389.8 |
| 322 | 2025-07-31 05:05:24 | biyearly | 1 | 82945 | 1 | 2.123 | 39069.7 |
| 321 | 2025-07-30 21:47:55 | biyearly | 1 | 82945 | 1 | 8.376 | 9902.7 |
| 320 | 2025-07-27 11:02:15 | biyearly | 1 | 82945 | 1 | 5.080 | 16327.8 |
| 319 | 2025-07-24 01:53:32 | biyearly | 1 | 82945 | 1 | 7.266 | 11415.5 |
| 318 | 2025-07-22 21:46:28 | biyearly | 1 | 82945 | 1 | 5.013 | 16546.0 |
| 317 | 2025-07-22 08:13:54 | biyearly | 1 | 82945 | 1 | 3.203 | 25896.0 |
| 316 | 2025-07-10 01:00:40 | biyearly | 1 | 82945 | 1 | 5.576 | 14875.4 |
| 315 | 2025-07-02 18:00:23 | biyearly | 1 | 82945 | 1 | 7.126 | 11639.8 |
| 314 | 2025-06-26 11:11:09 | biyearly | 1 | 82945 | 1 | 5.860 | 14154.4 |
| 313 | 2025-06-21 20:32:04 | biyearly | 3 | 146162 | 30 | 31.566 | 4630.4 |
| 312 | 2025-06-20 14:01:27 | biyearly | 1 | 82945 | 1 | 7.093 | 11693.9 |
| 311 | 2025-06-19 23:59:26 | biyearly | 1 | 82945 | 1 | 7.033 | 11793.7 |
| 310 | 2025-06-19 19:22:36 | biyearly | 3 | 146162 | 30 | 14.453 | 10112.9 |
| 309 | 2025-06-18 21:51:18 | biyearly | 1 | 82945 | 1 | 1.440 | 57600.7 |
| 308 | 2025-06-15 10:50:02 | biyearly | 1 | 82945 | 1 | 3.826 | 21679.3 |
| 307 | 2025-06-15 06:17:43 | biyearly | 1 | 82945 | 1 | 1.470 | 56425.2 |
| 306 | 2025-06-08 03:31:30 | biyearly | 3 | 146162 | 30 | 32.643 | 4477.6 |
| 305 | 2025-05-26 20:20:35 | biyearly | 3 | 146162 | 30 | 37.130 | 3936.5 |
| 304 | 2025-05-26 00:42:36 | biyearly | 1 | 82945 | 1 | 4.390 | 18894.1 |
| 303 | 2025-05-16 09:16:25 | biyearly | 1 | 82945 | 1 | 7.610 | 10899.5 |
| 302 | 2025-05-14 17:51:43 | biyearly | 1 | 82945 | 1 | 6.423 | 12913.7 |
| 301 | 2025-05-14 15:01:31 | biyearly | 1 | 82945 | 1 | 4.076 | 20349.6 |
| 300 | 2025-05-03 05:35:40 | biyearly | 1 | 82945 | 1 | 10.690 | 7759.1 |
| 299 | 2025-05-02 06:33:36 | biyearly | 1 | 82945 | 1 | 4.160 | 19938.7 |
| 298 | 2025-04-25 23:14:58 | biyearly | 1 | 82945 | 1 | 3.360 | 24686.0 |
| 297 | 2025-04-23 10:11:42 | biyearly | 1 | 82945 | 1 | 5.966 | 13903.0 |
| 296 | 2025-04-11 18:00:39 | biyearly | 3 | 146162 | 30 | 29.376 | 4975.6 |
| 295 | 2025-04-10 23:17:47 | biyearly | 1 | 82945 | 1 | 8.936 | 9282.1 |
| 294 | 2025-04-03 19:57:44 | biyearly | 3 | 146162 | 30 | 32.263 | 4530.3 |
| 293 | 2025-04-03 03:41:13 | biyearly | 3 | 146162 | 30 | 26.126 | 5594.5 |
| 292 | 2025-04-02 16:24:53 | biyearly | 1 | 82945 | 1 | 4.610 | 17992.4 |
| 291 | 2025-04-01 04:14:48 | biyearly | 3 | 146162 | 30 | 43.113 | 3390.2 |
| 290 | 2025-03-31 08:18:12 | biyearly | 1 | 82945 | 1 | 4.736 | 17513.7 |
| 289 | 2025-03-28 05:10:24 | biyearly | 3 | 146162 | 30 | 10.830 | 13496.0 |
| 288 | 2025-03-25 17:30:05 | biyearly | 2 | 121059 | 3 | 28.876 | 4192.4 |
| 287 | 2025-03-25 05:06:23 | biyearly | 3 | 146162 | 30 | 39.490 | 3701.2 |
| 286 | 2025-03-25 02:57:59 | biyearly | 3 | 146162 | 30 | 37.530 | 3894.5 |
| 285 | 2025-03-24 20:41:29 | biyearly | 2 | 121059 | 3 | 16.940 | 7146.3 |
| 284 | 2025-03-24 19:30:16 | biyearly | 3 | 146162 | 30 | 9.096 | 16068.8 |
| 283 | 2025-03-24 00:33:42 | biyearly | 1 | 82945 | 1 | 6.373 | 13015.1 |
| 282 | 2025-03-22 12:41:35 | biyearly | 1 | 82945 | 1 | 4.796 | 17294.6 |
| 281 | 2025-03-14 07:25:43 | biyearly | 3 | 146162 | 30 | 18.423 | 7933.7 |
| 280 | 2025-03-14 04:40:49 | biyearly | 3 | 146162 | 30 | 36.313 | 4025.1 |
| 279 | 2025-03-13 21:40:35 | biyearly | 3 | 146162 | 30 | 33.190 | 4403.8 |
| 278 | 2025-03-13 21:40:34 | biyearly | 2 | 121059 | 3 | 14.846 | 8154.3 |
| 277 | 2025-03-13 21:40:17 | biyearly | 1 | 82945 | 1 | 3.253 | 25498.0 |
| 276 | 2025-03-13 21:31:45 | biyearly | 4 | 161609 | 365 | 58.913 | 2743.2 |
| 275 | 2025-03-13 00:27:22 | biyearly | 4 | 161609 | 365 | 53.863 | 3000.4 |
| 274 | 2025-03-12 16:29:46 | biyearly | 4 | 161609 | 365 | 56.360 | 2867.4 |
| 273 | 2025-02-26 13:27:02 | biyearly | 1 | 82945 | 1 | 3.450 | 24042.0 |
| 272 | 2025-02-22 23:08:05 | biyearly | 1 | 82945 | 1 | 5.200 | 15951.0 |
| 271 | 2025-02-01 08:19:00 | biyearly | 1 | 82945 | 1 | 3.420 | 24252.9 |
| 270 | 2025-01-27 18:30:07 | biyearly | 3 | 146162 | 30 | 26.283 | 5561.1 |
| 269 | 2025-01-27 16:08:22 | biyearly | 3 | 146162 | 30 | 37.236 | 3925.3 |
| 268 | 2025-01-27 09:30:35 | biyearly | 4 | 161609 | 365 | 61.250 | 2638.5 |
| 267 | 2025-01-26 17:35:23 | biyearly | 4 | 161609 | 365 | 68.706 | 2352.2 |
| 266 | 2025-01-26 15:33:04 | biyearly | 4 | 161609 | 365 | 62.123 | 2601.4 |
| 265 | 2025-01-26 15:09:14 | biyearly | 4 | 161609 | 365 | 12.830 | 12596.2 |
| 264 | 2025-01-26 15:09:17 | biyearly | 2 | 121059 | 3 | 3.766 | 32145.2 |
| 263 | 2025-01-26 15:09:11 | biyearly | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 262 | 2025-01-23 02:28:57 | biyearly | 1 | 82945 | 1 | 6.110 | 13575.3 |
| 261 | 2025-01-21 23:00:03 | biyearly | 1 | 82945 | 1 | 6.796 | 12205.0 |
| 260 | 2025-01-16 20:56:53 | biyearly | 3 | 146162 | 30 | 28.510 | 5126.7 |
| 259 | 2024-12-27 06:30:07 | biyearly | 3 | 146162 | 30 | 28.016 | 5217.1 |
| 258 | 2024-12-27 02:37:00 | biyearly | 3 | 146162 | 30 | 35.736 | 4090.0 |
| 257 | 2024-12-26 09:12:45 | biyearly | 1 | 82945 | 1 | 6.746 | 12295.4 |
| 256 | 2024-12-25 17:34:13 | biyearly | 3 | 146162 | 30 | 9.703 | 15063.6 |
| 255 | 2024-12-19 17:58:04 | biyearly | 2 | 121059 | 3 | 6.610 | 18314.5 |
| 254 | 2024-12-19 17:57:54 | biyearly | 1 | 82945 | 1 | 1.263 | 65673.0 |
| 253 | 2024-12-18 17:23:17 | biyearly | 3 | 146162 | 30 | 13.046 | 11203.6 |
| 252 | 2024-12-03 10:01:09 | biyearly | 1 | 82945 | 1 | 6.906 | 12010.6 |
| 251 | 2024-11-29 00:40:32 | biyearly | 3 | 146162 | 30 | 22.920 | 6377.1 |
| 250 | 2024-11-28 16:55:49 | biyearly | 3 | 146162 | 30 | 35.633 | 4101.9 |
| 249 | 2024-11-28 06:08:15 | biyearly | 3 | 146162 | 30 | 50.566 | 2890.5 |
| 248 | 2024-11-28 03:30:55 | biyearly | 4 | 161609 | 365 | 52.360 | 3086.5 |
| 247 | 2024-11-28 03:31:05 | biyearly | 3 | 146162 | 30 | 34.846 | 4194.5 |
| 246 | 2024-11-28 03:31:00 | biyearly | 2 | 121059 | 3 | 18.016 | 6719.5 |
| 245 | 2024-11-28 03:30:42 | biyearly | 1 | 82945 | 1 | 6.516 | 12729.4 |
| 244 | 2024-11-25 10:59:33 | biyearly | 3 | 146162 | 30 | 26.936 | 5426.3 |
| 243 | 2024-11-24 23:07:25 | biyearly | 1 | 82945 | 1 | 8.926 | 9292.5 |
| 242 | 2024-11-20 04:56:30 | biyearly | 3 | 146162 | 30 | 28.703 | 5092.2 |
| 241 | 2024-10-28 15:36:47 | biyearly | 2 | 121059 | 3 | 5.200 | 23280.6 |
| 240 | 2024-10-28 15:36:43 | biyearly | 1 | 82945 | 1 | 3.513 | 23610.9 |
| 239 | 2024-10-27 08:50:22 | biyearly | 3 | 146162 | 30 | 40.656 | 3595.1 |
| 238 | 2024-10-26 10:17:14 | biyearly | 3 | 146162 | 30 | 38.066 | 3839.7 |