History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"truancies"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 332 | 2025-12-02 15:30:18 | truancies | 4 | 165329 | 681 | 10.956 | 15090.3 |
| 331 | 2025-12-02 07:58:35 | truancies | 4 | 165329 | 681 | 22.050 | 7497.9 |
| 330 | 2025-12-02 07:50:34 | truancies | 2 | 121436 | 7 | 3.283 | 36989.3 |
| 329 | 2025-11-24 19:43:37 | truancies | 1 | 81242 | 1 | 1.280 | 63470.3 |
| 328 | 2025-11-23 23:01:50 | truancies | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 327 | 2025-11-23 23:00:35 | truancies | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 326 | 2025-10-07 12:31:09 | truancies | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 325 | 2025-09-30 22:12:36 | truancies | 2 | 121436 | 7 | 3.656 | 33215.5 |
| 324 | 2025-09-25 14:34:19 | truancies | 1 | 81242 | 1 | 3.046 | 26671.7 |
| 323 | 2025-09-25 14:33:57 | truancies | 1 | 81242 | 1 | 9.456 | 8591.6 |
| 322 | 2025-09-25 14:33:22 | truancies | 1 | 81242 | 1 | 7.453 | 10900.6 |
| 321 | 2025-09-25 14:32:46 | truancies | 1 | 81242 | 1 | 3.360 | 24179.2 |
| 320 | 2025-08-14 02:59:57 | truancies | 1 | 81242 | 1 | 2.656 | 30588.1 |
| 319 | 2025-08-12 13:32:51 | truancies | 3 | 148641 | 66 | 18.580 | 8000.1 |
| 318 | 2025-08-11 22:13:08 | truancies | 3 | 148641 | 66 | 40.113 | 3705.6 |
| 317 | 2025-08-09 08:07:40 | truancies | 1 | 81242 | 1 | 9.546 | 8510.6 |
| 316 | 2025-08-06 16:07:38 | truancies | 3 | 148641 | 66 | 33.516 | 4434.9 |
| 315 | 2025-08-04 05:27:51 | truancies | 1 | 81242 | 1 | 3.563 | 22801.6 |
| 314 | 2025-07-31 10:36:27 | truancies | 1 | 81242 | 1 | 1.250 | 64993.6 |
| 313 | 2025-07-27 08:43:44 | truancies | 1 | 81242 | 1 | 3.390 | 23965.2 |
| 312 | 2025-07-24 15:28:32 | truancies | 1 | 81242 | 1 | 7.606 | 10681.3 |
| 311 | 2025-07-24 01:27:14 | truancies | 1 | 81242 | 1 | 3.360 | 24179.2 |
| 310 | 2025-07-16 13:26:27 | truancies | 1 | 81242 | 1 | 10.736 | 7567.3 |
| 309 | 2025-07-11 09:09:35 | truancies | 3 | 148641 | 66 | 41.923 | 3545.6 |
| 308 | 2025-07-11 08:52:55 | truancies | 1 | 81242 | 1 | 4.420 | 18380.5 |
| 307 | 2025-07-10 15:29:16 | truancies | 4 | 165329 | 681 | 61.643 | 2682.0 |
| 306 | 2025-07-08 03:06:05 | truancies | 4 | 165329 | 681 | 69.566 | 2376.6 |
| 305 | 2025-07-07 22:47:54 | truancies | 3 | 148641 | 66 | 18.126 | 8200.4 |
| 304 | 2025-07-06 21:35:20 | truancies | 2 | 121436 | 7 | 3.830 | 31706.5 |
| 303 | 2025-07-06 04:56:05 | truancies | 1 | 81242 | 1 | 1.403 | 57905.9 |
| 302 | 2025-06-22 11:08:28 | truancies | 1 | 81242 | 1 | 9.390 | 8652.0 |
| 301 | 2025-06-19 22:33:44 | truancies | 1 | 81242 | 1 | 6.546 | 12410.9 |
| 300 | 2025-06-18 10:35:13 | truancies | 1 | 81242 | 1 | 6.670 | 12180.2 |
| 299 | 2025-06-09 23:01:00 | truancies | 1 | 81242 | 1 | 12.673 | 6410.6 |
| 298 | 2025-06-01 12:07:26 | truancies | 3 | 148641 | 66 | 31.860 | 4665.4 |
| 297 | 2025-05-31 21:01:52 | truancies | 3 | 148641 | 66 | 49.376 | 3010.4 |
| 296 | 2025-05-30 06:03:14 | truancies | 3 | 148641 | 66 | 10.313 | 14413.0 |
| 295 | 2025-05-29 03:23:16 | truancies | 2 | 121436 | 7 | 20.880 | 5815.9 |
| 294 | 2025-05-26 08:00:34 | truancies | 1 | 81242 | 1 | 4.373 | 18578.1 |
| 293 | 2025-05-20 11:19:29 | truancies | 1 | 81242 | 1 | 3.890 | 20884.8 |
| 292 | 2025-05-19 22:51:35 | truancies | 1 | 81242 | 1 | 10.250 | 7926.0 |
| 291 | 2025-05-14 04:24:01 | truancies | 3 | 148641 | 66 | 37.956 | 3916.1 |
| 290 | 2025-05-13 09:34:59 | truancies | 1 | 81242 | 1 | 1.466 | 55417.5 |
| 289 | 2025-05-10 07:50:43 | truancies | 1 | 81242 | 1 | 7.283 | 11155.0 |
| 288 | 2025-04-20 10:34:44 | truancies | 1 | 81242 | 1 | 1.393 | 58321.6 |
| 287 | 2025-04-17 22:38:43 | truancies | 1 | 81242 | 1 | 3.296 | 24648.7 |
| 286 | 2025-04-06 07:39:56 | truancies | 1 | 81242 | 1 | 3.410 | 23824.6 |
| 285 | 2025-03-29 06:59:30 | truancies | 1 | 81242 | 1 | 5.563 | 14604.0 |
| 284 | 2025-03-09 13:33:24 | truancies | 3 | 148641 | 66 | 32.296 | 4602.5 |
| 283 | 2025-03-09 07:58:31 | truancies | 3 | 148641 | 66 | 27.326 | 5439.5 |
| 282 | 2025-03-08 13:13:01 | truancies | 3 | 148641 | 66 | 38.283 | 3882.7 |
| 281 | 2025-03-07 23:00:08 | truancies | 3 | 148641 | 66 | 44.440 | 3344.8 |
| 280 | 2025-03-06 21:30:21 | truancies | 1 | 81242 | 1 | 5.766 | 14089.8 |
| 279 | 2025-03-03 18:11:29 | truancies | 1 | 81242 | 1 | 3.453 | 23527.9 |
| 278 | 2025-02-06 13:53:56 | truancies | 1 | 81242 | 1 | 3.673 | 22118.7 |
| 277 | 2025-02-05 17:58:00 | truancies | 1 | 81242 | 1 | 7.106 | 11432.9 |
| 276 | 2025-02-01 12:04:45 | truancies | 1 | 81242 | 1 | 2.470 | 32891.5 |
| 275 | 2025-01-25 23:56:58 | truancies | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 274 | 2025-01-25 09:03:40 | truancies | 1 | 81242 | 1 | 4.653 | 17460.1 |
| 273 | 2025-01-24 13:47:47 | truancies | 3 | 148641 | 66 | 47.333 | 3140.3 |
| 272 | 2025-01-23 02:24:43 | truancies | 3 | 148641 | 66 | 20.580 | 7222.6 |
| 271 | 2025-01-07 12:58:58 | truancies | 1 | 81242 | 1 | 3.780 | 21492.6 |
| 270 | 2025-01-01 19:25:25 | truancies | 3 | 148641 | 66 | 67.600 | 2198.8 |
| 269 | 2025-01-01 19:25:20 | truancies | 3 | 148641 | 66 | 35.583 | 4177.3 |
| 268 | 2025-01-01 19:25:23 | truancies | 2 | 121436 | 7 | 11.623 | 10447.9 |
| 267 | 2025-01-01 18:53:43 | truancies | 1 | 81242 | 1 | 2.700 | 30089.6 |
| 266 | 2024-12-31 17:45:10 | truancies | 3 | 148641 | 66 | 30.190 | 4923.5 |
| 265 | 2024-12-26 22:08:55 | truancies | 3 | 148641 | 66 | 48.236 | 3081.5 |
| 264 | 2024-12-26 22:08:56 | truancies | 2 | 121436 | 7 | 17.483 | 6945.9 |
| 263 | 2024-12-26 19:28:27 | truancies | 1 | 81242 | 1 | 3.330 | 24397.0 |
| 262 | 2024-12-04 14:02:34 | truancies | 1 | 81242 | 1 | 1.550 | 52414.2 |
| 261 | 2024-11-26 09:20:14 | truancies | 1 | 81242 | 1 | 1.516 | 53589.7 |
| 260 | 2024-11-06 13:05:58 | truancies | 1 | 81242 | 1 | 9.330 | 8707.6 |
| 259 | 2024-11-04 08:13:08 | truancies | 1 | 81242 | 1 | 4.250 | 19115.8 |
| 258 | 2024-11-03 21:49:19 | truancies | 1 | 81242 | 1 | 2.986 | 27207.6 |
| 257 | 2024-10-20 08:11:52 | truancies | 2 | 121436 | 7 | 22.160 | 5480.0 |
| 256 | 2024-10-19 11:28:28 | truancies | 1 | 81242 | 1 | 9.703 | 8372.9 |
| 255 | 2024-10-08 01:54:46 | truancies | 3 | 148641 | 66 | 56.080 | 2650.5 |
| 254 | 2024-10-06 06:53:08 | truancies | 2 | 121436 | 7 | 27.673 | 4388.2 |
| 253 | 2024-10-03 00:11:11 | truancies | 2 | 121436 | 7 | 30.520 | 3978.9 |
| 252 | 2024-10-02 06:45:23 | truancies | 2 | 121436 | 7 | 37.393 | 3247.6 |
| 251 | 2024-10-01 17:30:06 | truancies | 3 | 148641 | 66 | 72.706 | 2044.4 |
| 250 | 2024-10-01 17:30:03 | truancies | 3 | 148641 | 66 | 48.283 | 3078.5 |
| 249 | 2024-10-01 17:30:06 | truancies | 2 | 121436 | 7 | 39.813 | 3050.2 |
| 248 | 2024-10-01 09:24:14 | truancies | 1 | 81242 | 1 | 10.716 | 7581.4 |
| 247 | 2024-09-29 10:36:01 | truancies | 1 | 81242 | 1 | 10.673 | 7611.9 |
| 246 | 2024-09-19 11:01:33 | truancies | 1 | 81242 | 1 | 9.186 | 8844.1 |
| 245 | 2024-08-26 14:24:59 | truancies | 3 | 148641 | 66 | 48.346 | 3074.5 |
| 244 | 2024-08-26 14:24:17 | truancies | 3 | 148641 | 66 | 52.863 | 2811.8 |
| 243 | 2024-08-23 16:15:04 | truancies | 3 | 148641 | 66 | 42.953 | 3460.5 |
| 242 | 2024-08-14 13:59:55 | truancies | 1 | 81242 | 1 | 10.940 | 7426.1 |
| 241 | 2024-08-11 15:47:40 | truancies | 3 | 148641 | 66 | 37.626 | 3950.5 |
| 240 | 2024-08-11 11:20:17 | truancies | 1 | 81242 | 1 | 2.610 | 31127.2 |
| 239 | 2024-08-09 10:46:52 | truancies | 3 | 148641 | 66 | 38.936 | 3817.6 |
| 238 | 2024-08-05 12:24:22 | truancies | 3 | 148641 | 66 | 14.130 | 10519.5 |
| 237 | 2024-07-31 06:00:40 | truancies | 1 | 81242 | 1 | 6.703 | 12120.2 |
| 236 | 2024-07-29 13:00:38 | truancies | 3 | 148641 | 66 | 38.610 | 3849.8 |
| 235 | 2024-07-29 13:00:38 | truancies | 2 | 121436 | 7 | 12.343 | 9838.5 |
| 234 | 2024-07-26 01:21:31 | truancies | 3 | 148641 | 66 | 37.380 | 3976.5 |
| 233 | 2024-07-26 01:21:26 | truancies | 2 | 121436 | 7 | 6.813 | 17824.2 |