History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"attractors"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
350 | 2025-07-19 06:30:38 | attractors | 1 | 67641 | 3 | 1.170 | 57812.8 |
349 | 2025-07-12 23:06:04 | attractors | 1 | 67641 | 3 | 3.126 | 21638.2 |
348 | 2025-07-09 19:05:11 | attractors | 1 | 67641 | 3 | 1.190 | 56841.2 |
347 | 2025-07-08 16:23:31 | attractors | 1 | 67641 | 3 | 5.436 | 12443.2 |
346 | 2025-07-05 02:21:50 | attractors | 4 | 161450 | 182 | 48.113 | 3355.6 |
345 | 2025-06-26 05:52:43 | attractors | 1 | 67641 | 3 | 5.343 | 12659.7 |
344 | 2025-06-23 17:51:27 | attractors | 2 | 108824 | 11 | 3.250 | 33484.3 |
343 | 2025-06-14 05:40:03 | attractors | 1 | 67641 | 3 | 2.733 | 24749.7 |
342 | 2025-06-12 21:17:08 | attractors | 1 | 67641 | 3 | 4.966 | 13620.8 |
341 | 2025-06-10 02:50:48 | attractors | 1 | 67641 | 3 | 4.250 | 15915.5 |
340 | 2025-06-03 06:54:41 | attractors | 1 | 67641 | 3 | 4.720 | 14330.7 |
339 | 2025-05-29 09:08:31 | attractors | 1 | 67641 | 3 | 8.783 | 7701.4 |
338 | 2025-05-27 10:47:27 | attractors | 2 | 108824 | 11 | 15.423 | 7056.0 |
337 | 2025-05-27 03:02:25 | attractors | 3 | 140603 | 41 | 28.516 | 4930.7 |
336 | 2025-05-26 14:50:47 | attractors | 4 | 161450 | 182 | 62.223 | 2594.7 |
335 | 2025-05-26 06:08:16 | attractors | 1 | 67641 | 3 | 6.250 | 10822.6 |
334 | 2025-05-25 20:11:02 | attractors | 1 | 67641 | 3 | 1.140 | 59334.2 |
333 | 2025-05-24 14:49:07 | attractors | 4 | 161450 | 182 | 49.866 | 3237.7 |
332 | 2025-05-22 14:29:42 | attractors | 4 | 161450 | 182 | 48.940 | 3298.9 |
331 | 2025-05-17 04:40:43 | attractors | 1 | 67641 | 3 | 1.173 | 57665.0 |
330 | 2025-05-15 05:48:09 | attractors | 1 | 67641 | 3 | 5.310 | 12738.4 |
329 | 2025-05-07 03:28:04 | attractors | 1 | 67641 | 3 | 1.123 | 60232.4 |
328 | 2025-05-06 02:41:11 | attractors | 1 | 67641 | 3 | 8.110 | 8340.4 |
327 | 2025-04-25 13:16:27 | attractors | 4 | 161450 | 182 | 19.610 | 8233.0 |
326 | 2025-04-13 03:00:03 | attractors | 1 | 67641 | 3 | 1.030 | 65670.9 |
325 | 2025-04-12 15:25:27 | attractors | 1 | 67641 | 3 | 6.733 | 10046.2 |
324 | 2025-04-09 06:48:31 | attractors | 3 | 140603 | 41 | 28.656 | 4906.6 |
323 | 2025-04-09 06:07:51 | attractors | 1 | 67641 | 3 | 8.390 | 8062.1 |
322 | 2025-04-09 03:54:45 | attractors | 3 | 140603 | 41 | 30.453 | 4617.0 |
321 | 2025-04-07 12:56:10 | attractors | 4 | 161450 | 182 | 53.986 | 2990.6 |
320 | 2025-04-04 13:50:17 | attractors | 4 | 161450 | 182 | 66.113 | 2442.0 |
319 | 2025-04-04 08:26:39 | attractors | 2 | 108824 | 11 | 20.003 | 5440.4 |
318 | 2025-04-04 03:13:35 | attractors | 3 | 140603 | 41 | 15.986 | 8795.4 |
317 | 2025-04-02 20:20:33 | attractors | 1 | 67641 | 3 | 2.623 | 25787.6 |
316 | 2025-03-21 03:14:32 | attractors | 1 | 67641 | 3 | 2.796 | 24192.1 |
315 | 2025-03-18 05:29:22 | attractors | 1 | 67641 | 3 | 5.330 | 12690.6 |
314 | 2025-03-17 01:22:04 | attractors | 1 | 67641 | 3 | 7.906 | 8555.7 |
313 | 2025-03-07 12:00:10 | attractors | 1 | 67641 | 3 | 5.530 | 12231.6 |
312 | 2025-02-27 19:08:00 | attractors | 1 | 67641 | 3 | 3.390 | 19953.1 |
311 | 2025-02-27 04:33:33 | attractors | 1 | 67641 | 3 | 5.390 | 12549.4 |
310 | 2025-02-05 22:28:42 | attractors | 2 | 108824 | 11 | 3.140 | 34657.3 |
309 | 2025-01-28 11:48:03 | attractors | 1 | 67641 | 3 | 1.093 | 61885.6 |
308 | 2025-01-21 02:52:24 | attractors | 3 | 140603 | 41 | 40.673 | 3456.9 |
307 | 2025-01-20 17:33:21 | attractors | 3 | 140603 | 41 | 36.476 | 3854.7 |
306 | 2025-01-20 17:33:23 | attractors | 2 | 108824 | 11 | 21.130 | 5150.2 |
305 | 2025-01-20 17:32:12 | attractors | 1 | 67641 | 3 | 5.766 | 11731.0 |
304 | 2025-01-06 18:17:38 | attractors | 1 | 67641 | 3 | 5.983 | 11305.5 |
303 | 2024-12-31 17:30:10 | attractors | 2 | 108824 | 11 | 14.310 | 7604.8 |
302 | 2024-12-31 17:23:46 | attractors | 1 | 67641 | 3 | 2.533 | 26703.9 |
301 | 2024-12-28 23:22:12 | attractors | 1 | 67641 | 3 | 1.063 | 63632.2 |
300 | 2024-12-18 09:33:53 | attractors | 3 | 140603 | 41 | 31.660 | 4441.0 |
299 | 2024-12-15 13:16:26 | attractors | 1 | 67641 | 3 | 5.500 | 12298.4 |
298 | 2024-11-27 12:19:09 | attractors | 1 | 67641 | 3 | 1.186 | 57032.9 |
297 | 2024-11-25 22:21:13 | attractors | 3 | 140603 | 41 | 36.110 | 3893.7 |
296 | 2024-11-23 19:18:08 | attractors | 1 | 67641 | 3 | 2.360 | 28661.4 |
295 | 2024-11-22 18:12:43 | attractors | 4 | 161450 | 182 | 33.910 | 4761.1 |
294 | 2024-11-21 09:04:09 | attractors | 4 | 161450 | 182 | 62.863 | 2568.3 |
293 | 2024-11-21 06:59:16 | attractors | 4 | 161450 | 182 | 66.700 | 2420.5 |
292 | 2024-11-21 06:59:21 | attractors | 2 | 108824 | 11 | 14.910 | 7298.7 |
291 | 2024-11-21 06:57:42 | attractors | 1 | 67641 | 3 | 5.640 | 11993.1 |
290 | 2024-11-20 07:23:55 | attractors | 3 | 140603 | 41 | 16.076 | 8746.1 |
289 | 2024-11-19 12:00:57 | attractors | 3 | 140603 | 41 | 5.733 | 24525.2 |
288 | 2024-11-13 12:47:59 | attractors | 1 | 67641 | 3 | 7.843 | 8624.4 |
287 | 2024-10-26 10:00:09 | attractors | 3 | 140603 | 41 | 30.610 | 4593.4 |
286 | 2024-10-26 04:33:18 | attractors | 3 | 140603 | 41 | 32.816 | 4284.6 |
285 | 2024-10-23 02:15:17 | attractors | 3 | 140603 | 41 | 28.906 | 4864.1 |
284 | 2024-10-23 02:15:08 | attractors | 2 | 108824 | 11 | 11.846 | 9186.6 |
283 | 2024-10-18 04:18:00 | attractors | 1 | 67641 | 3 | 1.123 | 60232.4 |
282 | 2024-10-17 15:45:58 | attractors | 1 | 67641 | 3 | 4.940 | 13692.5 |
281 | 2024-10-13 09:25:36 | attractors | 3 | 140603 | 41 | 30.630 | 4590.4 |
280 | 2024-10-06 05:36:08 | attractors | 1 | 67641 | 3 | 11.906 | 5681.3 |
279 | 2024-10-05 14:17:20 | attractors | 3 | 140603 | 41 | 50.293 | 2795.7 |
278 | 2024-10-01 05:49:36 | attractors | 1 | 67641 | 3 | 8.373 | 8078.5 |
277 | 2024-09-26 04:59:05 | attractors | 3 | 140603 | 41 | 50.643 | 2776.4 |
276 | 2024-09-25 23:48:03 | attractors | 3 | 140603 | 41 | 36.220 | 3881.9 |
275 | 2024-09-23 09:28:01 | attractors | 3 | 140603 | 41 | 44.456 | 3162.7 |
274 | 2024-09-21 05:55:11 | attractors | 3 | 140603 | 41 | 57.253 | 2455.8 |
273 | 2024-09-02 00:21:28 | attractors | 3 | 140603 | 41 | 72.363 | 1943.0 |
272 | 2024-08-28 19:51:15 | attractors | 1 | 67641 | 3 | 5.050 | 13394.3 |
271 | 2024-08-28 19:51:02 | attractors | 1 | 67641 | 3 | 4.423 | 15293.0 |
270 | 2024-08-25 14:12:38 | attractors | 3 | 140603 | 41 | 56.020 | 2509.9 |
269 | 2024-08-21 19:20:20 | attractors | 4 | 161450 | 182 | 82.300 | 1961.7 |
268 | 2024-08-21 19:20:36 | attractors | 3 | 140603 | 41 | 45.223 | 3109.1 |
267 | 2024-08-21 19:20:37 | attractors | 2 | 108824 | 11 | 20.360 | 5345.0 |
266 | 2024-08-21 19:15:58 | attractors | 1 | 67641 | 3 | 6.716 | 10071.6 |
265 | 2024-08-15 08:05:21 | attractors | 1 | 67641 | 3 | 9.140 | 7400.5 |
264 | 2024-08-14 08:58:17 | attractors | 2 | 108824 | 11 | 7.656 | 14214.2 |
263 | 2024-08-12 08:18:00 | attractors | 2 | 108824 | 11 | 23.656 | 4600.3 |
262 | 2024-08-12 06:54:29 | attractors | 1 | 67641 | 3 | 6.203 | 10904.6 |
261 | 2024-08-12 01:20:03 | attractors | 2 | 108824 | 11 | 7.500 | 14509.9 |
260 | 2024-08-09 16:49:48 | attractors | 1 | 67641 | 3 | 4.626 | 14621.9 |
259 | 2024-07-30 13:10:51 | attractors | 3 | 140603 | 41 | 18.423 | 7631.9 |
258 | 2024-07-30 13:10:51 | attractors | 2 | 108824 | 11 | 11.046 | 9851.9 |
257 | 2024-07-26 16:04:56 | attractors | 1 | 67641 | 3 | 4.936 | 13703.6 |
256 | 2024-07-25 09:31:59 | attractors | 1 | 67641 | 3 | 6.000 | 11273.5 |
255 | 2024-07-20 01:21:17 | attractors | 3 | 140603 | 41 | 30.503 | 4609.5 |
254 | 2024-07-19 13:14:47 | attractors | 3 | 140603 | 41 | 33.640 | 4179.6 |
253 | 2024-07-19 06:49:13 | attractors | 3 | 140603 | 41 | 10.220 | 13757.6 |
252 | 2024-07-16 19:04:28 | attractors | 3 | 140603 | 41 | 11.953 | 11763.0 |
251 | 2024-07-13 23:33:30 | attractors | 3 | 140603 | 41 | 23.423 | 6002.8 |