History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"optimality"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
320 | 2025-08-20 12:48:07 | optimality | 2 | 108824 | 4 | 6.173 | 17629.0 |
319 | 2025-08-20 06:49:10 | optimality | 1 | 67641 | 1 | 1.126 | 60071.9 |
318 | 2025-08-19 06:16:22 | optimality | 4 | 161450 | 80 | 34.923 | 4623.0 |
317 | 2025-08-18 22:18:43 | optimality | 3 | 140603 | 12 | 19.126 | 7351.4 |
316 | 2025-08-15 16:42:12 | optimality | 4 | 161450 | 80 | 44.846 | 3600.1 |
315 | 2025-08-13 20:37:55 | optimality | 1 | 67641 | 1 | 3.843 | 17601.1 |
314 | 2025-08-05 14:37:35 | optimality | 2 | 108824 | 4 | 15.550 | 6998.3 |
313 | 2025-08-05 11:05:56 | optimality | 3 | 140603 | 12 | 16.206 | 8676.0 |
312 | 2025-08-04 09:55:46 | optimality | 1 | 67641 | 1 | 2.110 | 32057.3 |
311 | 2025-07-28 20:26:02 | optimality | 3 | 140603 | 12 | 31.503 | 4463.2 |
310 | 2025-07-26 11:45:49 | optimality | 1 | 67641 | 1 | 1.220 | 55443.4 |
309 | 2025-07-25 17:26:48 | optimality | 1 | 67641 | 1 | 2.733 | 24749.7 |
308 | 2025-07-25 09:59:31 | optimality | 1 | 67641 | 1 | 3.920 | 17255.4 |
307 | 2025-07-24 18:05:39 | optimality | 1 | 67641 | 1 | 4.283 | 15792.9 |
306 | 2025-07-20 20:40:31 | optimality | 3 | 140603 | 12 | 9.643 | 14580.8 |
305 | 2025-07-19 07:24:47 | optimality | 1 | 67641 | 1 | 1.096 | 61716.2 |
304 | 2025-07-12 15:56:13 | optimality | 1 | 67641 | 1 | 2.720 | 24868.0 |
303 | 2025-07-04 09:53:28 | optimality | 1 | 67641 | 1 | 2.626 | 25758.2 |
302 | 2025-06-27 15:30:00 | optimality | 2 | 108824 | 4 | 10.940 | 9947.3 |
301 | 2025-06-17 14:15:32 | optimality | 1 | 67641 | 1 | 5.156 | 13118.9 |
300 | 2025-06-10 13:24:16 | optimality | 1 | 67641 | 1 | 5.140 | 13159.7 |
299 | 2025-05-31 19:36:48 | optimality | 1 | 67641 | 1 | 5.453 | 12404.4 |
298 | 2025-05-30 23:18:15 | optimality | 1 | 67641 | 1 | 7.470 | 9055.0 |
297 | 2025-05-22 13:21:31 | optimality | 1 | 67641 | 1 | 5.720 | 11825.3 |
296 | 2025-05-07 04:20:33 | optimality | 1 | 67641 | 1 | 1.190 | 56841.2 |
295 | 2025-04-26 13:00:46 | optimality | 1 | 67641 | 1 | 5.640 | 11993.1 |
294 | 2025-04-24 09:08:39 | optimality | 3 | 140603 | 12 | 31.486 | 4465.6 |
293 | 2025-04-17 07:56:10 | optimality | 3 | 140603 | 12 | 32.546 | 4320.1 |
292 | 2025-04-06 03:42:09 | optimality | 3 | 140603 | 12 | 25.566 | 5499.6 |
291 | 2025-03-29 15:38:14 | optimality | 3 | 140603 | 12 | 31.003 | 4535.1 |
290 | 2025-03-29 12:16:10 | optimality | 1 | 67641 | 1 | 5.890 | 11484.0 |
289 | 2025-03-29 05:33:54 | optimality | 3 | 140603 | 12 | 42.173 | 3334.0 |
288 | 2025-03-29 02:18:52 | optimality | 2 | 108824 | 4 | 11.080 | 9821.7 |
287 | 2025-03-28 21:22:30 | optimality | 3 | 140603 | 12 | 31.783 | 4423.8 |
286 | 2025-03-28 15:17:44 | optimality | 1 | 67641 | 1 | 1.190 | 56841.2 |
285 | 2025-03-26 15:20:51 | optimality | 1 | 67641 | 1 | 8.250 | 8198.9 |
284 | 2025-03-25 04:54:11 | optimality | 1 | 67641 | 1 | 7.830 | 8638.7 |
283 | 2025-03-13 12:22:45 | optimality | 1 | 67641 | 1 | 5.423 | 12473.0 |
282 | 2025-03-09 09:40:20 | optimality | 1 | 67641 | 1 | 4.830 | 14004.3 |
281 | 2025-02-20 20:22:17 | optimality | 3 | 140603 | 12 | 32.343 | 4347.2 |
280 | 2025-02-18 17:10:51 | optimality | 4 | 161450 | 80 | 45.423 | 3554.4 |
279 | 2025-02-15 19:44:24 | optimality | 1 | 67641 | 1 | 5.280 | 12810.8 |
278 | 2025-02-15 02:23:06 | optimality | 1 | 67641 | 1 | 5.376 | 12582.0 |
277 | 2025-02-13 14:42:38 | optimality | 3 | 140603 | 12 | 27.516 | 5109.9 |
276 | 2025-02-13 14:42:33 | optimality | 2 | 108824 | 4 | 21.173 | 5139.8 |
275 | 2025-02-13 14:41:40 | optimality | 4 | 161450 | 80 | 49.033 | 3292.7 |
274 | 2025-02-13 14:40:34 | optimality | 1 | 67641 | 1 | 5.966 | 11337.7 |
273 | 2025-02-13 12:42:08 | optimality | 4 | 161450 | 80 | 57.710 | 2797.6 |
272 | 2025-02-13 08:05:34 | optimality | 3 | 140603 | 12 | 23.186 | 6064.1 |
271 | 2025-02-12 21:36:07 | optimality | 4 | 161450 | 80 | 79.926 | 2020.0 |
270 | 2025-02-12 21:35:52 | optimality | 4 | 161450 | 80 | 55.736 | 2896.7 |
269 | 2025-02-12 21:35:44 | optimality | 3 | 140603 | 12 | 36.610 | 3840.6 |
268 | 2025-02-12 21:35:37 | optimality | 2 | 108824 | 4 | 11.813 | 9212.2 |
267 | 2025-02-12 21:35:22 | optimality | 1 | 67641 | 1 | 4.423 | 15293.0 |
266 | 2025-01-12 10:41:44 | optimality | 1 | 67641 | 1 | 5.393 | 12542.4 |
265 | 2025-01-01 10:20:02 | optimality | 1 | 67641 | 1 | 5.673 | 11923.3 |
264 | 2024-12-31 08:36:37 | optimality | 2 | 108824 | 4 | 15.670 | 6944.7 |
263 | 2024-12-25 18:57:20 | optimality | 4 | 161450 | 80 | 57.596 | 2803.1 |
262 | 2024-12-25 16:16:25 | optimality | 4 | 161450 | 80 | 58.816 | 2745.0 |
261 | 2024-12-25 04:02:13 | optimality | 4 | 161450 | 80 | 66.630 | 2423.1 |
260 | 2024-12-25 04:02:11 | optimality | 4 | 161450 | 80 | 43.753 | 3690.0 |
259 | 2024-12-25 04:02:24 | optimality | 2 | 108824 | 4 | 15.080 | 7216.4 |
258 | 2024-12-25 04:01:49 | optimality | 1 | 67641 | 1 | 5.390 | 12549.4 |
257 | 2024-12-23 02:59:21 | optimality | 1 | 67641 | 1 | 3.310 | 20435.3 |
256 | 2024-11-17 00:06:49 | optimality | 2 | 108824 | 4 | 22.703 | 4793.4 |
255 | 2024-11-16 23:59:35 | optimality | 4 | 161450 | 80 | 68.397 | 2360.5 |
254 | 2024-11-16 23:12:36 | optimality | 1 | 67641 | 1 | 1.153 | 58665.2 |
253 | 2024-11-16 11:41:01 | optimality | 3 | 140603 | 12 | 23.610 | 5955.2 |
252 | 2024-11-14 10:18:05 | optimality | 3 | 140603 | 12 | 28.470 | 4938.6 |
251 | 2024-11-13 10:38:38 | optimality | 4 | 161450 | 80 | 46.373 | 3481.6 |
250 | 2024-11-13 10:38:33 | optimality | 3 | 140603 | 12 | 46.406 | 3029.8 |
249 | 2024-11-12 20:09:04 | optimality | 4 | 161450 | 80 | 53.110 | 3039.9 |
248 | 2024-11-12 14:33:51 | optimality | 4 | 161450 | 80 | 40.110 | 4025.2 |
247 | 2024-11-12 14:34:00 | optimality | 2 | 108824 | 4 | 22.220 | 4897.6 |
246 | 2024-11-12 14:33:54 | optimality | 3 | 140603 | 12 | 15.970 | 8804.2 |
245 | 2024-11-12 13:03:58 | optimality | 1 | 67641 | 1 | 1.050 | 64420.0 |
244 | 2024-11-10 21:30:17 | optimality | 1 | 67641 | 1 | 2.780 | 24331.3 |
243 | 2024-10-26 19:33:39 | optimality | 1 | 67641 | 1 | 3.030 | 22323.8 |
242 | 2024-09-16 11:11:54 | optimality | 1 | 67641 | 1 | 10.033 | 6741.9 |
241 | 2024-08-23 04:18:01 | optimality | 1 | 67641 | 1 | 12.530 | 5398.3 |
240 | 2024-08-19 15:57:19 | optimality | 1 | 67641 | 1 | 8.656 | 7814.3 |
239 | 2024-07-26 19:20:47 | optimality | 1 | 67641 | 1 | 4.966 | 13620.8 |
238 | 2024-07-22 18:08:26 | optimality | 1 | 67641 | 1 | 4.530 | 14931.8 |
237 | 2024-07-19 14:00:57 | optimality | 1 | 67641 | 1 | 2.466 | 27429.4 |
236 | 2024-07-07 23:01:49 | optimality | 1 | 67641 | 1 | 4.330 | 15621.5 |
235 | 2024-07-07 22:55:47 | optimality | 1 | 67641 | 1 | 2.516 | 26884.3 |
234 | 2024-06-11 02:21:44 | optimality | 3 | 140603 | 12 | 23.563 | 5967.1 |
233 | 2024-06-11 02:21:46 | optimality | 2 | 108824 | 4 | 10.766 | 10108.1 |
232 | 2024-06-11 02:14:05 | optimality | 1 | 67641 | 1 | 2.563 | 26391.3 |
231 | 2024-05-28 15:23:55 | optimality | 4 | 161450 | 80 | 52.506 | 3074.9 |
230 | 2024-05-28 15:24:02 | optimality | 3 | 140603 | 12 | 22.283 | 6309.9 |
229 | 2024-05-28 15:24:07 | optimality | 2 | 108824 | 4 | 16.426 | 6625.1 |
228 | 2024-05-27 02:46:34 | optimality | 2 | 108824 | 4 | 10.626 | 10241.3 |
227 | 2024-05-27 02:46:33 | optimality | 3 | 140603 | 12 | 10.016 | 14037.8 |
226 | 2024-05-27 02:46:04 | optimality | 1 | 67641 | 1 | 3.796 | 17819.0 |
225 | 2024-05-26 04:40:30 | optimality | 4 | 161450 | 80 | 28.986 | 5569.9 |
224 | 2024-05-24 14:51:04 | optimality | 4 | 161450 | 80 | 37.813 | 4269.7 |
223 | 2024-05-24 07:32:06 | optimality | 4 | 161450 | 80 | 27.656 | 5837.8 |
222 | 2024-05-23 00:48:09 | optimality | 4 | 161450 | 80 | 25.940 | 6224.0 |
221 | 2024-05-23 00:48:15 | optimality | 2 | 108824 | 4 | 7.186 | 15143.9 |