History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"ridership"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 387 | 2026-01-03 02:27:48 | ridership | 1 | 81242 | 2 | 2.530 | 32111.5 |
| 386 | 2026-01-02 23:51:26 | ridership | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 385 | 2025-12-04 10:23:48 | ridership | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 384 | 2025-12-01 05:52:13 | ridership | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 383 | 2025-11-24 15:50:15 | ridership | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 382 | 2025-10-21 20:33:24 | ridership | 1 | 81242 | 2 | 6.140 | 13231.6 |
| 381 | 2025-09-08 18:12:33 | ridership | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 380 | 2025-08-30 22:05:50 | ridership | 3 | 148641 | 23 | 7.093 | 20956.0 |
| 379 | 2025-08-28 13:42:47 | ridership | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 378 | 2025-08-22 21:11:49 | ridership | 1 | 81242 | 2 | 4.936 | 16459.1 |
| 377 | 2025-08-09 09:08:39 | ridership | 1 | 81242 | 2 | 6.486 | 12525.7 |
| 376 | 2025-07-27 03:03:21 | ridership | 1 | 81242 | 2 | 3.080 | 26377.3 |
| 375 | 2025-07-15 19:35:56 | ridership | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 374 | 2025-07-12 03:46:18 | ridership | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 373 | 2025-07-11 08:04:44 | ridership | 3 | 148641 | 23 | 51.220 | 2902.0 |
| 372 | 2025-07-09 04:39:05 | ridership | 1 | 81242 | 2 | 2.156 | 37681.8 |
| 371 | 2025-07-07 18:00:24 | ridership | 1 | 81242 | 2 | 6.966 | 11662.6 |
| 370 | 2025-06-25 22:19:11 | ridership | 1 | 81242 | 2 | 6.796 | 11954.4 |
| 369 | 2025-06-24 08:50:50 | ridership | 1 | 81242 | 2 | 5.140 | 15805.8 |
| 368 | 2025-06-12 21:07:56 | ridership | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 367 | 2025-06-11 23:45:12 | ridership | 1 | 81242 | 2 | 3.500 | 23212.0 |
| 366 | 2025-06-01 10:29:13 | ridership | 1 | 81242 | 2 | 1.410 | 57618.4 |
| 365 | 2025-05-27 16:45:56 | ridership | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 364 | 2025-05-26 05:09:52 | ridership | 1 | 81242 | 2 | 7.186 | 11305.6 |
| 363 | 2025-05-17 01:12:24 | ridership | 3 | 148641 | 23 | 35.846 | 4146.7 |
| 362 | 2025-05-15 03:18:03 | ridership | 3 | 148641 | 23 | 11.546 | 12873.8 |
| 361 | 2025-04-28 08:02:55 | ridership | 1 | 81242 | 2 | 6.703 | 12120.2 |
| 360 | 2025-04-09 13:47:45 | ridership | 1 | 81242 | 2 | 4.530 | 17934.2 |
| 359 | 2025-04-09 00:47:49 | ridership | 3 | 148641 | 23 | 46.706 | 3182.5 |
| 358 | 2025-04-08 02:15:35 | ridership | 3 | 148641 | 23 | 43.643 | 3405.8 |
| 357 | 2025-04-05 08:31:47 | ridership | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 356 | 2025-03-29 14:47:38 | ridership | 3 | 148641 | 23 | 43.220 | 3439.2 |
| 355 | 2025-03-08 11:36:29 | ridership | 1 | 81242 | 2 | 6.766 | 12007.4 |
| 354 | 2025-03-07 09:35:48 | ridership | 3 | 148641 | 23 | 35.876 | 4143.2 |
| 353 | 2025-03-07 03:33:12 | ridership | 3 | 148641 | 23 | 19.280 | 7709.6 |
| 352 | 2025-02-28 18:49:22 | ridership | 3 | 148641 | 23 | 35.786 | 4153.6 |
| 351 | 2025-02-21 07:59:34 | ridership | 1 | 81242 | 2 | 6.436 | 12623.1 |
| 350 | 2025-02-18 15:51:57 | ridership | 3 | 148641 | 23 | 44.343 | 3352.1 |
| 349 | 2025-02-18 15:49:43 | ridership | 1 | 81242 | 2 | 3.326 | 24426.3 |
| 348 | 2025-02-18 09:50:14 | ridership | 3 | 148641 | 23 | 34.470 | 4312.2 |
| 347 | 2025-02-14 15:49:43 | ridership | 3 | 148641 | 23 | 39.050 | 3806.4 |
| 346 | 2025-01-29 02:47:02 | ridership | 3 | 148641 | 23 | 37.936 | 3918.2 |
| 345 | 2025-01-29 02:46:57 | ridership | 2 | 121436 | 5 | 15.156 | 8012.4 |
| 344 | 2025-01-27 19:46:43 | ridership | 1 | 81242 | 2 | 5.970 | 13608.4 |
| 343 | 2025-01-21 06:07:08 | ridership | 3 | 148641 | 23 | 47.376 | 3137.5 |
| 342 | 2025-01-17 08:20:20 | ridership | 3 | 148641 | 23 | 26.420 | 5626.1 |
| 341 | 2025-01-14 02:10:53 | ridership | 3 | 148641 | 23 | 33.783 | 4399.9 |
| 340 | 2025-01-14 02:10:41 | ridership | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 339 | 2025-01-14 02:08:30 | ridership | 3 | 148641 | 23 | 34.563 | 4300.6 |
| 338 | 2025-01-14 02:08:32 | ridership | 2 | 121436 | 5 | 19.203 | 6323.8 |
| 337 | 2025-01-11 18:10:22 | ridership | 3 | 148641 | 23 | 46.330 | 3208.3 |
| 336 | 2025-01-11 18:10:33 | ridership | 2 | 121436 | 5 | 26.610 | 4563.5 |
| 335 | 2025-01-11 18:09:26 | ridership | 1 | 81242 | 2 | 8.500 | 9557.9 |
| 334 | 2024-12-18 16:19:25 | ridership | 2 | 121436 | 5 | 25.423 | 4776.6 |
| 333 | 2024-12-18 16:18:54 | ridership | 3 | 148641 | 23 | 32.266 | 4606.7 |
| 332 | 2024-12-18 16:18:43 | ridership | 1 | 81242 | 2 | 3.156 | 25742.1 |
| 331 | 2024-12-17 23:33:59 | ridership | 3 | 148641 | 23 | 55.000 | 2702.6 |
| 330 | 2024-12-16 00:11:57 | ridership | 3 | 148641 | 23 | 36.880 | 4030.4 |
| 329 | 2024-12-16 00:11:58 | ridership | 2 | 121436 | 5 | 10.033 | 12103.7 |
| 328 | 2024-12-16 00:07:33 | ridership | 1 | 81242 | 2 | 4.530 | 17934.2 |
| 327 | 2024-12-11 02:34:33 | ridership | 2 | 121436 | 5 | 17.550 | 6919.4 |
| 326 | 2024-12-11 02:34:13 | ridership | 1 | 81242 | 2 | 4.796 | 16939.5 |
| 325 | 2024-12-11 00:39:07 | ridership | 3 | 148641 | 23 | 34.673 | 4286.9 |
| 324 | 2024-12-10 21:34:54 | ridership | 3 | 148641 | 23 | 45.163 | 3291.2 |
| 323 | 2024-12-09 05:11:43 | ridership | 3 | 148641 | 23 | 43.753 | 3397.3 |
| 322 | 2024-12-05 04:26:29 | ridership | 3 | 148641 | 23 | 47.136 | 3153.4 |
| 321 | 2024-11-25 13:10:37 | ridership | 2 | 121436 | 5 | 20.190 | 6014.7 |
| 320 | 2024-11-24 13:45:47 | ridership | 3 | 148641 | 23 | 40.940 | 3630.7 |
| 319 | 2024-11-17 22:34:38 | ridership | 1 | 81242 | 2 | 3.393 | 23944.0 |
| 318 | 2024-11-14 10:48:49 | ridership | 3 | 148641 | 23 | 45.643 | 3256.6 |
| 317 | 2024-11-08 21:55:48 | ridership | 1 | 81242 | 2 | 6.390 | 12713.9 |
| 316 | 2024-11-06 15:42:37 | ridership | 3 | 148641 | 23 | 39.770 | 3737.5 |
| 315 | 2024-11-02 16:17:15 | ridership | 3 | 148641 | 23 | 38.690 | 3841.8 |
| 314 | 2024-11-01 17:14:20 | ridership | 3 | 148641 | 23 | 37.750 | 3937.5 |
| 313 | 2024-11-01 09:17:58 | ridership | 3 | 148641 | 23 | 52.990 | 2805.1 |
| 312 | 2024-10-31 15:11:23 | ridership | 4 | 165329 | 113 | 48.876 | 3382.6 |
| 311 | 2024-10-26 05:33:29 | ridership | 1 | 81242 | 2 | 3.233 | 25129.0 |
| 310 | 2024-10-26 04:50:35 | ridership | 1 | 81242 | 2 | 5.500 | 14771.3 |
| 309 | 2024-10-26 04:46:02 | ridership | 1 | 81242 | 2 | 3.233 | 25129.0 |
| 308 | 2024-10-23 23:37:24 | ridership | 4 | 165329 | 113 | 88.846 | 1860.8 |
| 307 | 2024-10-23 09:06:18 | ridership | 4 | 165329 | 113 | 82.490 | 2004.2 |
| 306 | 2024-10-22 23:47:47 | ridership | 4 | 165329 | 113 | 70.813 | 2334.7 |
| 305 | 2024-10-22 23:40:23 | ridership | 1 | 81242 | 2 | 6.626 | 12261.1 |
| 304 | 2024-10-20 01:59:16 | ridership | 2 | 121436 | 5 | 26.910 | 4512.7 |
| 303 | 2024-10-14 17:13:55 | ridership | 1 | 81242 | 2 | 4.766 | 17046.2 |
| 302 | 2024-10-11 22:35:56 | ridership | 1 | 81242 | 2 | 6.640 | 12235.2 |
| 301 | 2024-10-11 00:35:42 | ridership | 3 | 148641 | 23 | 25.406 | 5850.6 |
| 300 | 2024-10-06 06:12:55 | ridership | 3 | 148641 | 23 | 64.503 | 2304.4 |
| 299 | 2024-10-06 06:13:03 | ridership | 2 | 121436 | 5 | 27.203 | 4464.1 |
| 298 | 2024-10-06 06:12:32 | ridership | 1 | 81242 | 2 | 5.126 | 15849.0 |
| 297 | 2024-09-29 14:29:40 | ridership | 2 | 121436 | 5 | 27.796 | 4368.8 |
| 296 | 2024-09-29 14:27:37 | ridership | 3 | 148641 | 23 | 73.550 | 2021.0 |
| 295 | 2024-09-22 20:07:23 | ridership | 1 | 81242 | 2 | 11.000 | 7385.6 |
| 294 | 2024-09-17 18:16:08 | ridership | 2 | 121436 | 5 | 25.986 | 4673.1 |
| 293 | 2024-08-24 00:02:35 | ridership | 2 | 121436 | 5 | 37.970 | 3198.2 |
| 292 | 2024-08-23 09:54:08 | ridership | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 291 | 2024-08-18 22:17:59 | ridership | 3 | 148641 | 23 | 71.690 | 2073.4 |
| 290 | 2024-08-17 15:14:19 | ridership | 3 | 148641 | 23 | 38.380 | 3872.9 |
| 289 | 2024-08-17 15:14:18 | ridership | 2 | 121436 | 5 | 22.453 | 5408.5 |
| 288 | 2024-08-16 17:49:11 | ridership | 1 | 81242 | 2 | 9.296 | 8739.5 |