History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"warehouse"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
390 | 2025-06-20 03:21:30 | warehouse | 1 | 81242 | 4 | 6.486 | 12525.7 |
389 | 2025-06-15 14:51:19 | warehouse | 1 | 81242 | 4 | 1.436 | 56575.2 |
388 | 2025-06-14 13:25:52 | warehouse | 3 | 148641 | 58 | 30.203 | 4921.4 |
387 | 2025-06-14 10:15:44 | warehouse | 1 | 81242 | 4 | 3.186 | 25499.7 |
386 | 2025-06-13 11:36:04 | warehouse | 1 | 81242 | 4 | 1.406 | 57782.4 |
385 | 2025-06-11 06:37:52 | warehouse | 2 | 121436 | 15 | 25.473 | 4767.2 |
384 | 2025-06-11 01:04:19 | warehouse | 3 | 148641 | 58 | 31.940 | 4653.8 |
383 | 2025-06-10 10:26:25 | warehouse | 1 | 81242 | 4 | 8.983 | 9044.0 |
382 | 2025-06-09 23:30:46 | warehouse | 3 | 148641 | 58 | 34.753 | 4277.1 |
381 | 2025-06-09 21:32:21 | warehouse | 3 | 148641 | 58 | 29.830 | 4982.9 |
380 | 2025-06-05 10:39:08 | warehouse | 3 | 148641 | 58 | 20.783 | 7152.0 |
379 | 2025-06-05 01:01:50 | warehouse | 3 | 148641 | 58 | 37.016 | 4015.6 |
378 | 2025-06-04 17:04:54 | warehouse | 1 | 81242 | 4 | 4.813 | 16879.7 |
377 | 2025-06-04 15:11:25 | warehouse | 3 | 148641 | 58 | 51.516 | 2885.3 |
376 | 2025-05-30 13:11:14 | warehouse | 3 | 148641 | 58 | 39.376 | 3774.9 |
375 | 2025-05-29 11:35:18 | warehouse | 2 | 121436 | 15 | 9.123 | 13311.0 |
374 | 2025-05-28 20:18:40 | warehouse | 1 | 81242 | 4 | 5.390 | 15072.7 |
373 | 2025-05-28 11:06:34 | warehouse | 4 | 165329 | 245 | 12.673 | 13045.8 |
372 | 2025-05-27 18:52:01 | warehouse | 1 | 81242 | 4 | 1.406 | 57782.4 |
371 | 2025-05-25 10:48:28 | warehouse | 4 | 165329 | 245 | 30.593 | 5404.1 |
370 | 2025-05-24 10:25:28 | warehouse | 2 | 121436 | 15 | 18.470 | 6574.8 |
369 | 2025-05-12 15:08:48 | warehouse | 1 | 81242 | 4 | 7.220 | 11252.4 |
368 | 2025-05-10 13:07:13 | warehouse | 4 | 165329 | 245 | 34.830 | 4746.7 |
367 | 2025-05-04 09:56:38 | warehouse | 1 | 81242 | 4 | 5.203 | 15614.5 |
366 | 2025-05-02 16:55:58 | warehouse | 4 | 165329 | 245 | 79.036 | 2091.8 |
365 | 2025-05-02 05:22:59 | warehouse | 4 | 165329 | 245 | 43.753 | 3778.7 |
364 | 2025-05-01 14:10:35 | warehouse | 1 | 81242 | 4 | 2.610 | 31127.2 |
363 | 2025-04-30 21:10:11 | warehouse | 4 | 165329 | 245 | 49.973 | 3308.4 |
362 | 2025-04-30 01:18:39 | warehouse | 4 | 165329 | 245 | 61.543 | 2686.4 |
361 | 2025-04-25 14:20:59 | warehouse | 1 | 81242 | 4 | 1.470 | 55266.7 |
360 | 2025-04-23 19:05:14 | warehouse | 4 | 165329 | 245 | 11.830 | 13975.4 |
359 | 2025-04-23 11:34:51 | warehouse | 1 | 81242 | 4 | 6.066 | 13393.0 |
358 | 2025-04-22 12:41:52 | warehouse | 4 | 165329 | 245 | 13.096 | 12624.4 |
357 | 2025-04-18 17:13:34 | warehouse | 2 | 121436 | 15 | 8.670 | 14006.5 |
356 | 2025-04-18 10:30:48 | warehouse | 3 | 148641 | 58 | 19.223 | 7732.5 |
355 | 2025-04-17 21:17:30 | warehouse | 1 | 81242 | 4 | 3.560 | 22820.8 |
354 | 2025-04-11 14:30:19 | warehouse | 1 | 81242 | 4 | 7.046 | 11530.2 |
353 | 2025-04-06 01:05:37 | warehouse | 3 | 148641 | 58 | 33.690 | 4412.0 |
352 | 2025-04-04 08:22:38 | warehouse | 3 | 148641 | 58 | 20.126 | 7385.5 |
351 | 2025-04-03 12:09:55 | warehouse | 3 | 148641 | 58 | 9.423 | 15774.3 |
350 | 2025-03-29 16:48:35 | warehouse | 3 | 148641 | 58 | 25.986 | 5720.0 |
349 | 2025-03-26 22:06:56 | warehouse | 3 | 148641 | 58 | 41.376 | 3592.4 |
348 | 2025-03-26 11:25:10 | warehouse | 1 | 81242 | 4 | 4.796 | 16939.5 |
347 | 2025-03-22 10:30:44 | warehouse | 4 | 165329 | 245 | 33.096 | 4995.4 |
346 | 2025-03-20 20:52:23 | warehouse | 2 | 121436 | 15 | 3.656 | 33215.5 |
345 | 2025-03-20 20:02:38 | warehouse | 3 | 148641 | 58 | 6.876 | 21617.4 |
344 | 2025-03-19 10:08:47 | warehouse | 1 | 81242 | 4 | 1.250 | 64993.6 |
343 | 2025-03-11 10:19:05 | warehouse | 2 | 121436 | 15 | 24.266 | 5004.4 |
342 | 2025-03-11 08:55:14 | warehouse | 1 | 81242 | 4 | 6.076 | 13371.0 |
341 | 2025-03-08 14:32:40 | warehouse | 3 | 148641 | 58 | 37.983 | 3913.4 |
340 | 2025-03-08 14:32:27 | warehouse | 2 | 121436 | 15 | 20.313 | 5978.2 |
339 | 2025-03-08 14:31:35 | warehouse | 1 | 81242 | 4 | 7.076 | 11481.3 |
338 | 2025-03-08 14:27:37 | warehouse | 3 | 148641 | 58 | 37.036 | 4013.4 |
337 | 2025-02-23 11:13:18 | warehouse | 2 | 121436 | 15 | 9.360 | 12973.9 |
336 | 2025-02-23 11:11:58 | warehouse | 2 | 121436 | 15 | 29.736 | 4083.8 |
335 | 2025-02-19 19:44:34 | warehouse | 1 | 81242 | 4 | 3.313 | 24522.2 |
334 | 2025-02-19 18:36:00 | warehouse | 3 | 148641 | 58 | 45.626 | 3257.8 |
333 | 2025-02-16 08:05:55 | warehouse | 2 | 121436 | 15 | 18.156 | 6688.5 |
332 | 2025-02-16 08:05:28 | warehouse | 3 | 148641 | 58 | 29.703 | 5004.2 |
331 | 2025-02-16 08:03:40 | warehouse | 1 | 81242 | 4 | 3.216 | 25261.8 |
330 | 2025-02-12 18:15:21 | warehouse | 2 | 121436 | 15 | 18.330 | 6625.0 |
329 | 2025-02-11 08:24:59 | warehouse | 3 | 148641 | 58 | 40.546 | 3666.0 |
328 | 2025-02-11 06:05:38 | warehouse | 3 | 148641 | 58 | 37.596 | 3953.6 |
327 | 2025-02-07 16:30:01 | warehouse | 3 | 148641 | 58 | 30.656 | 4848.7 |
326 | 2025-02-07 16:29:59 | warehouse | 2 | 121436 | 15 | 21.516 | 5644.0 |
325 | 2025-02-07 16:29:43 | warehouse | 1 | 81242 | 4 | 6.390 | 12713.9 |
324 | 2025-01-20 23:28:15 | warehouse | 1 | 81242 | 4 | 6.700 | 12125.7 |
323 | 2025-01-13 17:16:40 | warehouse | 3 | 148641 | 58 | 37.783 | 3934.1 |
322 | 2025-01-08 10:08:50 | warehouse | 3 | 148641 | 58 | 27.190 | 5466.8 |
321 | 2025-01-08 03:41:00 | warehouse | 1 | 81242 | 4 | 6.920 | 11740.2 |
320 | 2025-01-07 13:13:33 | warehouse | 2 | 121436 | 15 | 20.156 | 6024.8 |
319 | 2025-01-07 02:02:00 | warehouse | 3 | 148641 | 58 | 38.783 | 3832.6 |
318 | 2025-01-07 02:01:58 | warehouse | 2 | 121436 | 15 | 10.046 | 12088.0 |
317 | 2025-01-03 08:51:21 | warehouse | 3 | 148641 | 58 | 40.736 | 3648.9 |
316 | 2025-01-03 08:51:34 | warehouse | 2 | 121436 | 15 | 17.736 | 6846.9 |
315 | 2025-01-03 08:50:11 | warehouse | 1 | 81242 | 4 | 6.890 | 11791.3 |
314 | 2024-12-26 16:16:16 | warehouse | 1 | 81242 | 4 | 7.763 | 10465.3 |
313 | 2024-12-21 08:38:08 | warehouse | 1 | 81242 | 4 | 1.360 | 59736.8 |
312 | 2024-12-16 01:39:47 | warehouse | 3 | 148641 | 58 | 49.816 | 2983.8 |
311 | 2024-12-11 06:36:56 | warehouse | 3 | 148641 | 58 | 49.596 | 2997.0 |
310 | 2024-12-11 06:36:58 | warehouse | 2 | 121436 | 15 | 19.750 | 6148.7 |
309 | 2024-12-04 15:30:31 | warehouse | 2 | 121436 | 15 | 18.830 | 6449.1 |
308 | 2024-12-04 05:24:59 | warehouse | 3 | 148641 | 58 | 41.920 | 3545.8 |
307 | 2024-12-04 05:24:49 | warehouse | 3 | 148641 | 58 | 36.453 | 4077.6 |
306 | 2024-12-04 05:24:54 | warehouse | 2 | 121436 | 15 | 18.546 | 6547.8 |
305 | 2024-12-04 05:24:26 | warehouse | 1 | 81242 | 4 | 8.906 | 9122.2 |
304 | 2024-11-28 07:40:34 | warehouse | 3 | 148641 | 58 | 44.673 | 3327.3 |
303 | 2024-11-24 09:23:25 | warehouse | 1 | 81242 | 4 | 3.343 | 24302.1 |
302 | 2024-11-22 11:46:44 | warehouse | 1 | 81242 | 4 | 1.406 | 57782.4 |
301 | 2024-11-11 00:16:36 | warehouse | 3 | 148641 | 58 | 67.956 | 2187.3 |
300 | 2024-11-04 17:14:33 | warehouse | 3 | 148641 | 58 | 46.360 | 3206.2 |
299 | 2024-11-04 17:12:47 | warehouse | 1 | 81242 | 4 | 6.623 | 12266.6 |
298 | 2024-11-04 01:34:36 | warehouse | 1 | 81242 | 4 | 1.330 | 61084.2 |
297 | 2024-11-01 14:05:15 | warehouse | 2 | 121436 | 15 | 18.050 | 6727.8 |
296 | 2024-10-19 22:52:32 | warehouse | 1 | 81242 | 4 | 5.406 | 15028.1 |
295 | 2024-10-19 09:41:06 | warehouse | 2 | 121436 | 15 | 16.110 | 7537.9 |
294 | 2024-10-16 08:47:46 | warehouse | 2 | 121436 | 15 | 16.030 | 7575.5 |
293 | 2024-10-09 04:50:34 | warehouse | 2 | 121436 | 15 | 15.206 | 7986.1 |
292 | 2024-10-09 04:50:30 | warehouse | 1 | 81242 | 4 | 3.533 | 22995.2 |
291 | 2024-10-07 00:10:29 | warehouse | 3 | 148641 | 58 | 65.566 | 2267.0 |