History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"optimised"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
364 | 2025-08-21 10:20:53 | optimised | 3 | 148641 | 35 | 34.093 | 4359.9 |
363 | 2025-08-19 21:57:57 | optimised | 1 | 81242 | 4 | 1.280 | 63470.3 |
362 | 2025-08-19 04:36:32 | optimised | 4 | 165329 | 250 | 33.330 | 4960.4 |
361 | 2025-08-17 15:48:41 | optimised | 3 | 148641 | 35 | 21.140 | 7031.3 |
360 | 2025-08-12 23:05:58 | optimised | 1 | 81242 | 4 | 3.063 | 26523.7 |
359 | 2025-08-12 13:25:07 | optimised | 3 | 148641 | 35 | 20.953 | 7094.0 |
358 | 2025-08-11 08:48:36 | optimised | 1 | 81242 | 4 | 1.406 | 57782.4 |
357 | 2025-08-01 13:59:04 | optimised | 3 | 148641 | 35 | 31.390 | 4735.3 |
356 | 2025-08-01 12:23:50 | optimised | 1 | 81242 | 4 | 8.126 | 9997.8 |
355 | 2025-07-31 03:07:30 | optimised | 1 | 81242 | 4 | 1.280 | 63470.3 |
354 | 2025-07-28 05:01:05 | optimised | 4 | 165329 | 250 | 58.233 | 2839.1 |
353 | 2025-07-27 09:56:45 | optimised | 4 | 165329 | 250 | 30.990 | 5334.9 |
352 | 2025-07-27 02:38:08 | optimised | 4 | 165329 | 250 | 47.973 | 3446.3 |
351 | 2025-07-25 08:11:12 | optimised | 4 | 165329 | 250 | 37.706 | 4384.7 |
350 | 2025-07-24 16:40:31 | optimised | 4 | 165329 | 250 | 50.796 | 3254.8 |
349 | 2025-07-22 04:08:46 | optimised | 1 | 81242 | 4 | 1.393 | 58321.6 |
348 | 2025-07-20 20:58:34 | optimised | 1 | 81242 | 4 | 1.436 | 56575.2 |
347 | 2025-07-19 21:33:55 | optimised | 4 | 165329 | 250 | 16.830 | 9823.5 |
346 | 2025-07-18 00:07:44 | optimised | 1 | 81242 | 4 | 4.173 | 19468.5 |
345 | 2025-07-17 04:17:30 | optimised | 1 | 81242 | 4 | 3.470 | 23412.7 |
344 | 2025-07-15 05:33:49 | optimised | 1 | 81242 | 4 | 6.686 | 12151.1 |
343 | 2025-07-07 18:40:09 | optimised | 1 | 81242 | 4 | 1.470 | 55266.7 |
342 | 2025-07-06 04:55:57 | optimised | 1 | 81242 | 4 | 1.516 | 53589.7 |
341 | 2025-07-06 02:21:15 | optimised | 1 | 81242 | 4 | 1.453 | 55913.3 |
340 | 2025-07-05 19:12:03 | optimised | 1 | 81242 | 4 | 1.343 | 60492.9 |
339 | 2025-07-05 16:00:29 | optimised | 1 | 81242 | 4 | 7.606 | 10681.3 |
338 | 2025-07-04 21:35:28 | optimised | 3 | 148641 | 35 | 22.483 | 6611.3 |
337 | 2025-07-04 08:42:50 | optimised | 2 | 121436 | 11 | 3.063 | 39646.1 |
336 | 2025-07-02 11:37:54 | optimised | 1 | 81242 | 4 | 3.140 | 25873.2 |
335 | 2025-07-02 08:05:56 | optimised | 1 | 81242 | 4 | 9.250 | 8782.9 |
334 | 2025-07-01 21:22:55 | optimised | 2 | 121436 | 11 | 11.766 | 10320.9 |
333 | 2025-07-01 15:03:32 | optimised | 1 | 81242 | 4 | 1.360 | 59736.8 |
332 | 2025-06-27 12:45:44 | optimised | 1 | 81242 | 4 | 1.420 | 57212.7 |
331 | 2025-06-21 12:36:26 | optimised | 3 | 148641 | 35 | 36.596 | 4061.7 |
330 | 2025-06-16 12:22:01 | optimised | 3 | 148641 | 35 | 30.673 | 4846.0 |
329 | 2025-06-16 06:22:49 | optimised | 3 | 148641 | 35 | 38.830 | 3828.0 |
328 | 2025-06-15 02:39:42 | optimised | 1 | 81242 | 4 | 1.406 | 57782.4 |
327 | 2025-06-14 04:05:58 | optimised | 1 | 81242 | 4 | 7.000 | 11606.0 |
326 | 2025-06-13 08:36:07 | optimised | 1 | 81242 | 4 | 1.343 | 60492.9 |
325 | 2025-05-26 21:38:38 | optimised | 1 | 81242 | 4 | 7.576 | 10723.6 |
324 | 2025-05-19 15:50:58 | optimised | 1 | 81242 | 4 | 3.280 | 24768.9 |
323 | 2025-05-19 12:37:00 | optimised | 1 | 81242 | 4 | 1.390 | 58447.5 |
322 | 2025-05-18 09:40:12 | optimised | 2 | 121436 | 11 | 11.110 | 10930.3 |
321 | 2025-05-17 01:54:07 | optimised | 1 | 81242 | 4 | 6.720 | 12089.6 |
320 | 2025-05-11 18:23:19 | optimised | 3 | 148641 | 35 | 6.220 | 23897.3 |
319 | 2025-05-03 05:46:37 | optimised | 1 | 81242 | 4 | 7.250 | 11205.8 |
318 | 2025-05-02 10:38:58 | optimised | 1 | 81242 | 4 | 7.103 | 11437.7 |
317 | 2025-05-02 08:46:22 | optimised | 1 | 81242 | 4 | 3.470 | 23412.7 |
316 | 2025-04-26 00:59:16 | optimised | 2 | 121436 | 11 | 13.033 | 9317.6 |
315 | 2025-04-25 20:24:53 | optimised | 3 | 148641 | 35 | 38.656 | 3845.2 |
314 | 2025-04-24 07:32:58 | optimised | 4 | 165329 | 250 | 72.410 | 2283.2 |
313 | 2025-04-23 15:14:01 | optimised | 1 | 81242 | 4 | 8.720 | 9316.7 |
312 | 2025-04-21 07:49:00 | optimised | 4 | 165329 | 250 | 61.393 | 2693.0 |
311 | 2025-04-18 11:42:27 | optimised | 4 | 165329 | 250 | 66.096 | 2501.3 |
310 | 2025-04-17 08:49:39 | optimised | 3 | 148641 | 35 | 6.623 | 22443.2 |
309 | 2025-04-17 02:21:52 | optimised | 1 | 81242 | 4 | 1.410 | 57618.4 |
308 | 2025-04-14 01:47:00 | optimised | 1 | 81242 | 4 | 7.343 | 11063.9 |
307 | 2025-04-04 14:06:31 | optimised | 1 | 81242 | 4 | 6.453 | 12589.8 |
306 | 2025-03-31 07:22:05 | optimised | 1 | 81242 | 4 | 6.440 | 12615.2 |
305 | 2025-03-28 22:31:01 | optimised | 1 | 81242 | 4 | 6.436 | 12623.1 |
304 | 2025-03-23 17:14:41 | optimised | 1 | 81242 | 4 | 6.253 | 12992.5 |
303 | 2025-03-21 12:13:05 | optimised | 1 | 81242 | 4 | 5.080 | 15992.5 |
302 | 2025-03-19 20:43:41 | optimised | 3 | 148641 | 35 | 18.500 | 8034.6 |
301 | 2025-03-19 06:25:28 | optimised | 3 | 148641 | 35 | 12.203 | 12180.7 |
300 | 2025-03-16 06:20:14 | optimised | 1 | 81242 | 4 | 5.203 | 15614.5 |
299 | 2025-03-05 08:54:31 | optimised | 1 | 81242 | 4 | 9.750 | 8332.5 |
298 | 2025-03-04 10:35:14 | optimised | 4 | 165329 | 250 | 66.943 | 2469.7 |
297 | 2025-03-04 02:53:22 | optimised | 4 | 165329 | 250 | 57.550 | 2872.8 |
296 | 2025-03-03 23:53:06 | optimised | 4 | 165329 | 250 | 72.616 | 2276.8 |
295 | 2025-03-03 03:19:41 | optimised | 2 | 121436 | 11 | 72.880 | 1666.2 |
294 | 2025-03-03 02:19:58 | optimised | 1 | 81242 | 4 | 16.686 | 4868.9 |
293 | 2025-03-02 20:25:29 | optimised | 4 | 165329 | 250 | 11.173 | 14797.2 |
292 | 2025-02-27 01:42:07 | optimised | 3 | 148641 | 35 | 17.516 | 8486.0 |
291 | 2025-02-22 04:57:37 | optimised | 3 | 148641 | 35 | 55.100 | 2697.7 |
290 | 2025-02-22 04:57:29 | optimised | 3 | 148641 | 35 | 40.756 | 3647.1 |
289 | 2025-02-22 04:57:35 | optimised | 2 | 121436 | 11 | 16.486 | 7366.0 |
288 | 2025-02-22 04:55:07 | optimised | 1 | 81242 | 4 | 3.716 | 21862.8 |
287 | 2025-02-02 11:30:43 | optimised | 1 | 81242 | 4 | 7.306 | 11119.9 |
286 | 2025-01-26 15:20:07 | optimised | 1 | 81242 | 4 | 1.610 | 50460.9 |
285 | 2025-01-25 10:01:24 | optimised | 3 | 148641 | 35 | 48.846 | 3043.1 |
284 | 2025-01-23 23:49:36 | optimised | 3 | 148641 | 35 | 34.143 | 4353.5 |
283 | 2025-01-18 14:27:52 | optimised | 4 | 165329 | 250 | 68.893 | 2399.8 |
282 | 2025-01-18 14:27:45 | optimised | 3 | 148641 | 35 | 35.563 | 4179.7 |
281 | 2025-01-18 14:27:42 | optimised | 2 | 121436 | 11 | 16.280 | 7459.2 |
280 | 2025-01-18 14:26:12 | optimised | 1 | 81242 | 4 | 3.500 | 23212.0 |
279 | 2025-01-16 22:08:26 | optimised | 1 | 81242 | 4 | 6.330 | 12834.4 |
278 | 2024-12-29 20:22:27 | optimised | 4 | 165329 | 250 | 21.970 | 7525.2 |
277 | 2024-12-27 22:41:43 | optimised | 3 | 148641 | 35 | 19.000 | 7823.2 |
276 | 2024-12-27 11:46:21 | optimised | 2 | 121436 | 11 | 22.063 | 5504.1 |
275 | 2024-12-27 10:46:00 | optimised | 1 | 81242 | 4 | 5.876 | 13826.1 |
274 | 2024-12-24 20:41:46 | optimised | 3 | 148641 | 35 | 49.063 | 3029.6 |
273 | 2024-12-23 02:51:37 | optimised | 3 | 148641 | 35 | 31.673 | 4693.0 |
272 | 2024-12-21 22:02:07 | optimised | 1 | 81242 | 4 | 1.606 | 50586.6 |
271 | 2024-12-19 05:59:04 | optimised | 3 | 148641 | 35 | 37.343 | 3980.4 |
270 | 2024-12-19 05:59:00 | optimised | 3 | 148641 | 35 | 34.000 | 4371.8 |
269 | 2024-12-19 05:58:57 | optimised | 2 | 121436 | 11 | 17.186 | 7066.0 |
268 | 2024-12-18 07:34:28 | optimised | 4 | 165329 | 250 | 56.956 | 2902.7 |
267 | 2024-12-18 07:34:19 | optimised | 3 | 148641 | 35 | 53.580 | 2774.2 |
266 | 2024-12-18 07:34:17 | optimised | 2 | 121436 | 11 | 17.373 | 6989.9 |
265 | 2024-12-18 07:33:09 | optimised | 1 | 81242 | 4 | 9.986 | 8135.6 |