History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"overlearns"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
374 | 2025-07-18 23:44:47 | overlearns | 1 | 67641 | 3 | 1.016 | 66575.8 |
373 | 2025-07-11 04:45:49 | overlearns | 1 | 67641 | 3 | 5.686 | 11896.1 |
372 | 2025-07-02 06:47:00 | overlearns | 1 | 67641 | 3 | 6.970 | 9704.6 |
371 | 2025-06-22 04:14:40 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
370 | 2025-06-19 00:28:39 | overlearns | 2 | 108824 | 11 | 15.126 | 7194.5 |
369 | 2025-06-16 11:54:51 | overlearns | 1 | 67641 | 3 | 7.233 | 9351.7 |
368 | 2025-06-14 01:52:45 | overlearns | 2 | 108824 | 11 | 22.263 | 4888.1 |
367 | 2025-06-13 22:57:22 | overlearns | 3 | 140603 | 69 | 46.040 | 3053.9 |
366 | 2025-06-13 13:47:14 | overlearns | 1 | 67641 | 3 | 1.203 | 56226.9 |
365 | 2025-06-04 20:34:13 | overlearns | 1 | 67641 | 3 | 3.313 | 20416.8 |
364 | 2025-05-31 14:15:02 | overlearns | 1 | 67641 | 3 | 3.063 | 22083.3 |
363 | 2025-05-31 04:09:36 | overlearns | 1 | 67641 | 3 | 8.296 | 8153.4 |
362 | 2025-05-30 09:39:22 | overlearns | 1 | 67641 | 3 | 2.606 | 25955.9 |
361 | 2025-05-29 05:29:19 | overlearns | 1 | 67641 | 3 | 5.190 | 13032.9 |
360 | 2025-05-27 14:42:36 | overlearns | 1 | 67641 | 3 | 8.283 | 8166.2 |
359 | 2025-05-22 15:23:12 | overlearns | 4 | 161450 | 286 | 47.596 | 3392.1 |
358 | 2025-05-17 12:58:20 | overlearns | 4 | 161450 | 286 | 65.363 | 2470.1 |
357 | 2025-05-16 10:12:06 | overlearns | 1 | 67641 | 3 | 7.893 | 8569.7 |
356 | 2025-05-14 21:36:17 | overlearns | 4 | 161450 | 286 | 67.876 | 2378.6 |
355 | 2025-05-10 02:46:54 | overlearns | 4 | 161450 | 286 | 45.706 | 3532.4 |
354 | 2025-05-10 02:46:28 | overlearns | 4 | 161450 | 286 | 70.566 | 2287.9 |
353 | 2025-05-08 14:56:39 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
352 | 2025-05-03 01:09:20 | overlearns | 1 | 67641 | 3 | 5.313 | 12731.2 |
351 | 2025-04-29 05:53:44 | overlearns | 3 | 140603 | 69 | 25.203 | 5578.8 |
350 | 2025-04-26 06:41:30 | overlearns | 1 | 67641 | 3 | 8.140 | 8309.7 |
349 | 2025-04-25 09:08:40 | overlearns | 3 | 140603 | 69 | 11.733 | 11983.6 |
348 | 2025-04-24 08:55:58 | overlearns | 3 | 140603 | 69 | 30.940 | 4544.4 |
347 | 2025-04-22 05:05:26 | overlearns | 4 | 161450 | 286 | 17.033 | 9478.7 |
346 | 2025-04-16 15:38:29 | overlearns | 4 | 161450 | 286 | 42.046 | 3839.8 |
345 | 2025-04-14 16:55:44 | overlearns | 1 | 67641 | 3 | 5.453 | 12404.4 |
344 | 2025-04-12 16:45:44 | overlearns | 2 | 108824 | 11 | 3.060 | 35563.4 |
343 | 2025-04-06 11:19:13 | overlearns | 1 | 67641 | 3 | 8.216 | 8232.8 |
342 | 2025-04-06 06:33:53 | overlearns | 1 | 67641 | 3 | 8.203 | 8245.9 |
341 | 2025-04-03 21:03:38 | overlearns | 4 | 161450 | 286 | 67.156 | 2404.1 |
340 | 2025-04-02 10:25:08 | overlearns | 2 | 108824 | 11 | 10.343 | 10521.5 |
339 | 2025-03-31 21:13:47 | overlearns | 1 | 67641 | 3 | 5.456 | 12397.5 |
338 | 2025-03-30 15:48:08 | overlearns | 1 | 67641 | 3 | 5.186 | 13043.0 |
337 | 2025-03-30 15:27:44 | overlearns | 2 | 108824 | 11 | 3.313 | 32847.6 |
336 | 2025-03-28 22:59:56 | overlearns | 4 | 161450 | 286 | 62.876 | 2567.8 |
335 | 2025-03-28 18:54:59 | overlearns | 3 | 140603 | 69 | 6.986 | 20126.4 |
334 | 2025-03-25 23:02:33 | overlearns | 4 | 161450 | 286 | 45.690 | 3533.6 |
333 | 2025-03-24 11:16:13 | overlearns | 3 | 140603 | 69 | 20.436 | 6880.2 |
332 | 2025-03-21 19:48:14 | overlearns | 1 | 67641 | 3 | 6.186 | 10934.5 |
331 | 2025-03-14 01:30:38 | overlearns | 3 | 140603 | 69 | 32.863 | 4278.5 |
330 | 2025-03-14 01:30:33 | overlearns | 2 | 108824 | 11 | 12.906 | 8432.0 |
329 | 2025-03-14 01:25:57 | overlearns | 1 | 67641 | 3 | 2.703 | 25024.4 |
328 | 2025-03-12 09:15:35 | overlearns | 4 | 161450 | 286 | 71.253 | 2265.9 |
327 | 2025-03-12 07:58:52 | overlearns | 4 | 161450 | 286 | 34.016 | 4746.3 |
326 | 2025-03-08 16:33:07 | overlearns | 4 | 161450 | 286 | 25.860 | 6243.2 |
325 | 2025-03-07 23:16:24 | overlearns | 3 | 140603 | 69 | 23.910 | 5880.5 |
324 | 2025-02-28 06:32:50 | overlearns | 3 | 140603 | 69 | 34.520 | 4073.1 |
323 | 2025-02-26 14:52:12 | overlearns | 1 | 67641 | 3 | 2.686 | 25182.8 |
322 | 2025-02-24 15:45:14 | overlearns | 3 | 140603 | 69 | 30.253 | 4647.6 |
321 | 2025-02-24 12:37:58 | overlearns | 1 | 67641 | 3 | 1.126 | 60071.9 |
320 | 2025-02-22 10:42:06 | overlearns | 3 | 140603 | 69 | 33.860 | 4152.5 |
319 | 2025-02-20 08:56:02 | overlearns | 3 | 140603 | 69 | 39.206 | 3586.3 |
318 | 2025-02-20 08:56:03 | overlearns | 2 | 108824 | 11 | 15.576 | 6986.6 |
317 | 2025-02-20 08:50:48 | overlearns | 1 | 67641 | 3 | 6.783 | 9972.1 |
316 | 2025-02-20 04:54:32 | overlearns | 4 | 161450 | 286 | 70.336 | 2295.4 |
315 | 2025-02-19 11:21:24 | overlearns | 4 | 161450 | 286 | 59.300 | 2722.6 |
314 | 2025-02-01 10:47:55 | overlearns | 1 | 67641 | 3 | 7.766 | 8709.9 |
313 | 2025-01-27 08:48:56 | overlearns | 4 | 161450 | 286 | 41.173 | 3921.3 |
312 | 2025-01-22 12:17:05 | overlearns | 1 | 67641 | 3 | 2.906 | 23276.3 |
311 | 2025-01-21 04:27:01 | overlearns | 2 | 108824 | 11 | 12.846 | 8471.4 |
310 | 2025-01-20 22:54:52 | overlearns | 3 | 140603 | 69 | 28.156 | 4993.7 |
309 | 2025-01-20 15:58:07 | overlearns | 3 | 140603 | 69 | 32.063 | 4385.2 |
308 | 2025-01-20 04:12:25 | overlearns | 3 | 140603 | 69 | 48.033 | 2927.2 |
307 | 2025-01-20 03:54:49 | overlearns | 4 | 161450 | 286 | 73.643 | 2192.3 |
306 | 2025-01-19 19:51:06 | overlearns | 4 | 161450 | 286 | 51.393 | 3141.5 |
305 | 2025-01-19 19:51:06 | overlearns | 3 | 140603 | 69 | 27.313 | 5147.8 |
304 | 2025-01-19 19:51:07 | overlearns | 2 | 108824 | 11 | 15.406 | 7063.7 |
303 | 2025-01-19 19:50:30 | overlearns | 1 | 67641 | 3 | 5.360 | 12619.6 |
302 | 2025-01-15 09:31:32 | overlearns | 1 | 67641 | 3 | 2.436 | 27767.2 |
301 | 2024-12-29 23:27:05 | overlearns | 1 | 67641 | 3 | 5.310 | 12738.4 |
300 | 2024-12-27 00:34:19 | overlearns | 2 | 108824 | 11 | 14.143 | 7694.5 |
299 | 2024-12-27 00:30:03 | overlearns | 1 | 67641 | 3 | 5.470 | 12365.8 |
298 | 2024-12-27 00:26:59 | overlearns | 4 | 161450 | 286 | 62.523 | 2582.2 |
297 | 2024-12-26 16:47:52 | overlearns | 4 | 161450 | 286 | 10.610 | 15216.8 |
296 | 2024-12-24 17:17:41 | overlearns | 3 | 140603 | 69 | 24.643 | 5705.6 |
295 | 2024-12-19 11:20:46 | overlearns | 3 | 140603 | 69 | 32.563 | 4317.9 |
294 | 2024-12-19 08:34:27 | overlearns | 3 | 140603 | 69 | 34.910 | 4027.6 |
293 | 2024-12-17 09:59:16 | overlearns | 3 | 140603 | 69 | 44.440 | 3163.9 |
292 | 2024-12-17 06:01:01 | overlearns | 3 | 140603 | 69 | 32.363 | 4344.6 |
291 | 2024-12-17 06:00:28 | overlearns | 2 | 108824 | 11 | 14.873 | 7316.9 |
290 | 2024-12-11 05:16:19 | overlearns | 2 | 108824 | 11 | 11.970 | 9091.4 |
289 | 2024-12-10 09:08:27 | overlearns | 1 | 67641 | 3 | 2.936 | 23038.5 |
288 | 2024-12-10 04:09:53 | overlearns | 1 | 67641 | 3 | 1.000 | 67641.0 |
287 | 2024-12-08 00:58:54 | overlearns | 3 | 140603 | 69 | 42.023 | 3345.9 |
286 | 2024-12-05 19:52:36 | overlearns | 3 | 140603 | 69 | 27.770 | 5063.1 |
285 | 2024-11-20 05:15:35 | overlearns | 1 | 67641 | 3 | 1.143 | 59178.5 |
284 | 2024-11-20 02:16:44 | overlearns | 3 | 140603 | 69 | 32.596 | 4313.5 |
283 | 2024-11-18 01:20:12 | overlearns | 3 | 140603 | 69 | 31.813 | 4419.7 |
282 | 2024-11-18 01:18:48 | overlearns | 2 | 108824 | 11 | 15.580 | 6984.9 |
281 | 2024-11-18 01:05:34 | overlearns | 1 | 67641 | 3 | 1.000 | 67641.0 |
280 | 2024-11-17 21:57:21 | overlearns | 4 | 161450 | 286 | 65.220 | 2475.5 |
279 | 2024-11-15 07:42:17 | overlearns | 3 | 140603 | 69 | 29.126 | 4827.4 |
278 | 2024-11-15 07:41:42 | overlearns | 3 | 140603 | 69 | 32.393 | 4340.5 |
277 | 2024-11-15 07:41:35 | overlearns | 2 | 108824 | 11 | 13.236 | 8221.8 |
276 | 2024-11-15 05:33:59 | overlearns | 3 | 140603 | 69 | 33.563 | 4189.2 |
275 | 2024-11-08 11:23:16 | overlearns | 2 | 108824 | 11 | 7.266 | 14977.2 |