History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trashiest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
348 | 2025-08-27 10:12:35 | trashiest | 1 | 81242 | 2 | 1.406 | 57782.4 |
347 | 2025-08-25 04:24:31 | trashiest | 1 | 81242 | 2 | 8.530 | 9524.3 |
346 | 2025-08-24 23:13:44 | trashiest | 1 | 81242 | 2 | 9.563 | 8495.5 |
345 | 2025-08-10 03:08:48 | trashiest | 1 | 81242 | 2 | 5.843 | 13904.2 |
344 | 2025-08-09 01:21:46 | trashiest | 1 | 81242 | 2 | 6.673 | 12174.7 |
343 | 2025-08-01 07:42:02 | trashiest | 1 | 81242 | 2 | 4.186 | 19408.0 |
342 | 2025-07-30 19:59:11 | trashiest | 1 | 81242 | 2 | 4.906 | 16559.7 |
341 | 2025-07-28 01:45:27 | trashiest | 3 | 148641 | 169 | 25.986 | 5720.0 |
340 | 2025-07-27 11:40:01 | trashiest | 1 | 81242 | 2 | 7.203 | 11278.9 |
339 | 2025-07-26 22:55:51 | trashiest | 1 | 81242 | 2 | 6.063 | 13399.6 |
338 | 2025-07-24 03:28:33 | trashiest | 1 | 81242 | 2 | 4.860 | 16716.5 |
337 | 2025-07-24 01:34:19 | trashiest | 1 | 81242 | 2 | 10.110 | 8035.8 |
336 | 2025-07-23 04:13:34 | trashiest | 1 | 81242 | 2 | 7.750 | 10482.8 |
335 | 2025-07-23 03:42:54 | trashiest | 3 | 148641 | 169 | 24.186 | 6145.7 |
334 | 2025-07-22 09:36:24 | trashiest | 1 | 81242 | 2 | 3.313 | 24522.2 |
333 | 2025-07-19 16:44:05 | trashiest | 3 | 148641 | 169 | 8.343 | 17816.3 |
332 | 2025-07-10 15:50:39 | trashiest | 1 | 81242 | 2 | 7.716 | 10529.0 |
331 | 2025-07-05 21:09:17 | trashiest | 3 | 148641 | 169 | 7.563 | 19653.7 |
330 | 2025-07-04 21:37:18 | trashiest | 3 | 148641 | 169 | 24.703 | 6017.1 |
329 | 2025-07-02 09:25:01 | trashiest | 3 | 148641 | 169 | 38.516 | 3859.2 |
328 | 2025-07-02 08:42:49 | trashiest | 2 | 121436 | 24 | 9.513 | 12765.3 |
327 | 2025-07-01 15:12:59 | trashiest | 2 | 121436 | 24 | 3.640 | 33361.5 |
326 | 2025-06-28 14:47:59 | trashiest | 2 | 121436 | 24 | 19.783 | 6138.4 |
325 | 2025-06-27 07:07:06 | trashiest | 1 | 81242 | 2 | 6.783 | 11977.3 |
324 | 2025-06-26 11:21:32 | trashiest | 1 | 81242 | 2 | 7.140 | 11378.4 |
323 | 2025-06-26 10:35:14 | trashiest | 2 | 121436 | 24 | 14.110 | 8606.4 |
322 | 2025-06-24 20:00:09 | trashiest | 1 | 81242 | 2 | 1.326 | 61268.5 |
321 | 2025-06-23 16:19:42 | trashiest | 1 | 81242 | 2 | 1.466 | 55417.5 |
320 | 2025-06-17 20:13:49 | trashiest | 1 | 81242 | 2 | 2.766 | 29371.7 |
319 | 2025-06-08 22:34:52 | trashiest | 1 | 81242 | 2 | 1.453 | 55913.3 |
318 | 2025-06-05 07:09:13 | trashiest | 1 | 81242 | 2 | 7.046 | 11530.2 |
317 | 2025-06-04 00:40:09 | trashiest | 1 | 81242 | 2 | 3.873 | 20976.5 |
316 | 2025-05-31 07:16:32 | trashiest | 2 | 121436 | 24 | 14.170 | 8569.9 |
315 | 2025-05-29 21:20:20 | trashiest | 3 | 148641 | 169 | 7.253 | 20493.7 |
314 | 2025-05-28 18:38:01 | trashiest | 1 | 81242 | 2 | 1.406 | 57782.4 |
313 | 2025-05-28 15:57:05 | trashiest | 3 | 148641 | 169 | 35.690 | 4164.8 |
312 | 2025-05-26 19:19:41 | trashiest | 2 | 121436 | 24 | 17.423 | 6969.9 |
311 | 2025-05-26 07:10:57 | trashiest | 1 | 81242 | 2 | 10.030 | 8099.9 |
310 | 2025-05-25 10:52:08 | trashiest | 1 | 81242 | 2 | 1.453 | 55913.3 |
309 | 2025-05-24 21:29:37 | trashiest | 3 | 148641 | 169 | 33.406 | 4449.5 |
308 | 2025-05-24 15:40:20 | trashiest | 3 | 148641 | 169 | 38.626 | 3848.2 |
307 | 2025-05-24 09:20:26 | trashiest | 3 | 148641 | 169 | 33.533 | 4432.7 |
306 | 2025-05-22 02:07:37 | trashiest | 3 | 148641 | 169 | 35.186 | 4224.4 |
305 | 2025-05-21 20:03:18 | trashiest | 1 | 81242 | 2 | 1.483 | 54782.2 |
304 | 2025-05-18 19:54:08 | trashiest | 1 | 81242 | 2 | 1.376 | 59042.2 |
303 | 2025-04-24 23:37:13 | trashiest | 1 | 81242 | 2 | 6.673 | 12174.7 |
302 | 2025-04-23 09:56:09 | trashiest | 1 | 81242 | 2 | 6.483 | 12531.5 |
301 | 2025-04-14 07:11:43 | trashiest | 1 | 81242 | 2 | 5.313 | 15291.2 |
300 | 2025-04-02 01:48:21 | trashiest | 1 | 81242 | 2 | 7.686 | 10570.1 |
299 | 2025-03-29 11:20:53 | trashiest | 2 | 121436 | 24 | 28.783 | 4219.0 |
298 | 2025-03-27 16:45:54 | trashiest | 2 | 121436 | 24 | 8.486 | 14310.2 |
297 | 2025-03-25 21:33:29 | trashiest | 3 | 148641 | 169 | 7.656 | 19415.0 |
296 | 2025-03-24 08:27:08 | trashiest | 3 | 148641 | 169 | 35.703 | 4163.3 |
295 | 2025-03-22 17:14:30 | trashiest | 3 | 148641 | 169 | 44.530 | 3338.0 |
294 | 2025-03-21 14:27:05 | trashiest | 3 | 148641 | 169 | 37.563 | 3957.1 |
293 | 2025-03-21 12:04:32 | trashiest | 1 | 81242 | 2 | 6.673 | 12174.7 |
292 | 2025-03-19 22:16:30 | trashiest | 3 | 148641 | 169 | 41.393 | 3591.0 |
291 | 2025-03-18 18:33:11 | trashiest | 3 | 148641 | 169 | 6.423 | 23142.0 |
290 | 2025-03-17 10:41:47 | trashiest | 1 | 81242 | 2 | 6.720 | 12089.6 |
289 | 2025-03-10 22:54:54 | trashiest | 3 | 148641 | 169 | 36.283 | 4096.7 |
288 | 2025-03-10 22:01:28 | trashiest | 1 | 81242 | 2 | 6.453 | 12589.8 |
287 | 2025-03-05 08:54:42 | trashiest | 1 | 81242 | 2 | 4.970 | 16346.5 |
286 | 2025-03-04 10:19:33 | trashiest | 1 | 81242 | 2 | 8.033 | 10113.5 |
285 | 2025-03-02 04:30:12 | trashiest | 1 | 81242 | 2 | 5.233 | 15524.9 |
284 | 2025-02-23 13:15:22 | trashiest | 3 | 148641 | 169 | 27.986 | 5311.3 |
283 | 2025-02-22 22:09:06 | trashiest | 2 | 121436 | 24 | 18.673 | 6503.3 |
282 | 2025-02-20 11:22:38 | trashiest | 2 | 121436 | 24 | 13.486 | 9004.6 |
281 | 2025-02-20 11:22:15 | trashiest | 1 | 81242 | 2 | 6.953 | 11684.5 |
280 | 2025-02-19 15:33:17 | trashiest | 3 | 148641 | 169 | 40.566 | 3664.2 |
279 | 2025-02-12 11:46:58 | trashiest | 3 | 148641 | 169 | 50.453 | 2946.1 |
278 | 2025-02-09 18:15:39 | trashiest | 3 | 148641 | 169 | 21.780 | 6824.7 |
277 | 2025-01-30 14:42:35 | trashiest | 3 | 148641 | 169 | 34.893 | 4259.9 |
276 | 2025-01-19 06:37:29 | trashiest | 3 | 148641 | 169 | 38.233 | 3887.8 |
275 | 2025-01-15 10:21:55 | trashiest | 3 | 148641 | 169 | 27.203 | 5464.1 |
274 | 2025-01-14 01:09:16 | trashiest | 1 | 81242 | 2 | 1.216 | 66810.9 |
273 | 2025-01-12 19:06:32 | trashiest | 3 | 148641 | 169 | 38.346 | 3876.3 |
272 | 2025-01-12 19:06:32 | trashiest | 2 | 121436 | 24 | 19.593 | 6197.9 |
271 | 2025-01-12 19:05:41 | trashiest | 1 | 81242 | 2 | 7.080 | 11474.9 |
270 | 2025-01-09 09:30:57 | trashiest | 1 | 81242 | 2 | 6.546 | 12410.9 |
269 | 2024-12-26 02:10:35 | trashiest | 2 | 121436 | 24 | 17.613 | 6894.7 |
268 | 2024-12-23 12:59:35 | trashiest | 3 | 148641 | 169 | 33.973 | 4375.3 |
267 | 2024-12-23 01:48:13 | trashiest | 2 | 121436 | 24 | 18.686 | 6498.8 |
266 | 2024-12-23 01:47:10 | trashiest | 1 | 81242 | 2 | 6.313 | 12869.0 |
265 | 2024-12-17 15:27:28 | trashiest | 3 | 148641 | 169 | 37.050 | 4011.9 |
264 | 2024-12-13 06:13:34 | trashiest | 3 | 148641 | 169 | 33.550 | 4430.4 |
263 | 2024-12-13 01:12:46 | trashiest | 3 | 148641 | 169 | 36.956 | 4022.1 |
262 | 2024-12-13 01:12:43 | trashiest | 2 | 121436 | 24 | 24.766 | 4903.3 |
261 | 2024-12-13 01:11:27 | trashiest | 1 | 81242 | 2 | 5.110 | 15898.6 |
260 | 2024-12-09 15:54:05 | trashiest | 1 | 81242 | 2 | 3.516 | 23106.4 |
259 | 2024-11-10 11:50:57 | trashiest | 3 | 148641 | 169 | 40.470 | 3672.9 |
258 | 2024-11-09 13:03:35 | trashiest | 3 | 148641 | 169 | 35.830 | 4148.5 |
257 | 2024-11-08 07:13:46 | trashiest | 1 | 81242 | 2 | 5.953 | 13647.2 |
256 | 2024-11-08 04:35:59 | trashiest | 1 | 81242 | 2 | 1.313 | 61875.1 |
255 | 2024-11-05 06:38:51 | trashiest | 1 | 81242 | 2 | 3.080 | 26377.3 |
254 | 2024-11-03 22:41:21 | trashiest | 1 | 81242 | 2 | 7.813 | 10398.3 |
253 | 2024-10-23 02:43:25 | trashiest | 3 | 148641 | 169 | 36.130 | 4114.1 |
252 | 2024-10-13 08:51:09 | trashiest | 2 | 121436 | 24 | 27.626 | 4395.7 |
251 | 2024-10-08 15:24:42 | trashiest | 1 | 81242 | 2 | 11.513 | 7056.5 |
250 | 2024-10-07 13:22:40 | trashiest | 3 | 148641 | 169 | 71.846 | 2068.9 |
249 | 2024-10-06 22:35:19 | trashiest | 3 | 148641 | 169 | 67.456 | 2203.5 |