History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"multilayer"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
318 | 2025-07-19 12:30:32 | multilayer | 1 | 67641 | 2 | 3.250 | 20812.6 |
317 | 2025-07-14 09:57:53 | multilayer | 1 | 67641 | 2 | 5.486 | 12329.7 |
316 | 2025-07-13 00:14:19 | multilayer | 1 | 67641 | 2 | 8.390 | 8062.1 |
315 | 2025-07-03 14:35:14 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
314 | 2025-07-02 11:59:36 | multilayer | 1 | 67641 | 2 | 3.750 | 18037.6 |
313 | 2025-06-24 05:20:14 | multilayer | 1 | 67641 | 2 | 5.376 | 12582.0 |
312 | 2025-06-19 20:37:53 | multilayer | 1 | 67641 | 2 | 5.420 | 12479.9 |
311 | 2025-06-17 11:45:40 | multilayer | 1 | 67641 | 2 | 1.063 | 63632.2 |
310 | 2025-06-12 01:22:56 | multilayer | 1 | 67641 | 2 | 5.330 | 12690.6 |
309 | 2025-06-11 19:54:27 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
308 | 2025-06-08 11:02:14 | multilayer | 1 | 67641 | 2 | 10.656 | 6347.7 |
307 | 2025-05-31 01:49:19 | multilayer | 1 | 67641 | 2 | 5.110 | 13237.0 |
306 | 2025-05-27 14:33:36 | multilayer | 3 | 140603 | 26 | 47.906 | 2935.0 |
305 | 2025-05-27 12:39:35 | multilayer | 3 | 140603 | 26 | 30.063 | 4676.9 |
304 | 2025-05-25 18:07:45 | multilayer | 1 | 67641 | 2 | 4.373 | 15467.9 |
303 | 2025-05-24 08:35:19 | multilayer | 1 | 67641 | 2 | 3.063 | 22083.3 |
302 | 2025-05-22 11:24:41 | multilayer | 1 | 67641 | 2 | 5.376 | 12582.0 |
301 | 2025-05-20 20:20:13 | multilayer | 1 | 67641 | 2 | 1.203 | 56226.9 |
300 | 2025-05-15 18:52:42 | multilayer | 1 | 67641 | 2 | 1.173 | 57665.0 |
299 | 2025-05-15 10:27:57 | multilayer | 1 | 67641 | 2 | 1.046 | 64666.3 |
298 | 2025-05-11 04:23:51 | multilayer | 1 | 67641 | 2 | 2.923 | 23141.0 |
297 | 2025-05-02 19:44:56 | multilayer | 4 | 161450 | 128 | 11.810 | 13670.6 |
296 | 2025-04-28 23:35:22 | multilayer | 4 | 161450 | 128 | 25.173 | 6413.6 |
295 | 2025-04-28 15:15:52 | multilayer | 1 | 67641 | 2 | 4.326 | 15635.9 |
294 | 2025-04-27 00:49:40 | multilayer | 4 | 161450 | 128 | 11.423 | 14133.8 |
293 | 2025-04-23 16:37:50 | multilayer | 1 | 67641 | 2 | 6.470 | 10454.6 |
292 | 2025-04-19 01:03:25 | multilayer | 1 | 67641 | 2 | 1.186 | 57032.9 |
291 | 2025-04-02 08:17:44 | multilayer | 1 | 67641 | 2 | 5.450 | 12411.2 |
290 | 2025-03-25 13:28:53 | multilayer | 1 | 67641 | 2 | 3.236 | 20902.7 |
289 | 2025-03-23 11:58:04 | multilayer | 1 | 67641 | 2 | 5.563 | 12159.1 |
288 | 2025-03-21 15:59:20 | multilayer | 4 | 161450 | 128 | 60.583 | 2664.9 |
287 | 2025-03-21 03:10:01 | multilayer | 4 | 161450 | 128 | 70.846 | 2278.9 |
286 | 2025-03-20 18:50:55 | multilayer | 1 | 67641 | 2 | 3.516 | 19238.1 |
285 | 2025-03-18 02:08:27 | multilayer | 4 | 161450 | 128 | 49.830 | 3240.0 |
284 | 2025-03-15 04:59:35 | multilayer | 4 | 161450 | 128 | 81.113 | 1990.4 |
283 | 2025-03-07 08:48:09 | multilayer | 4 | 161450 | 128 | 68.720 | 2349.4 |
282 | 2025-03-06 13:57:27 | multilayer | 4 | 161450 | 128 | 67.113 | 2405.6 |
281 | 2025-02-20 20:06:29 | multilayer | 2 | 108824 | 5 | 8.796 | 12372.0 |
280 | 2025-02-20 20:04:39 | multilayer | 1 | 67641 | 2 | 3.656 | 18501.4 |
279 | 2025-02-16 23:18:31 | multilayer | 2 | 108824 | 5 | 7.516 | 14479.0 |
278 | 2025-02-16 23:16:28 | multilayer | 1 | 67641 | 2 | 2.436 | 27767.2 |
277 | 2025-02-12 07:49:51 | multilayer | 4 | 161450 | 128 | 59.423 | 2717.0 |
276 | 2025-02-07 12:23:13 | multilayer | 1 | 67641 | 2 | 2.500 | 27056.4 |
275 | 2025-02-07 12:12:34 | multilayer | 4 | 161450 | 128 | 62.676 | 2575.9 |
274 | 2025-02-07 10:08:41 | multilayer | 4 | 161450 | 128 | 41.456 | 3894.5 |
273 | 2025-02-07 10:08:40 | multilayer | 2 | 108824 | 5 | 24.780 | 4391.6 |
272 | 2025-02-07 08:34:07 | multilayer | 3 | 140603 | 26 | 26.330 | 5340.0 |
271 | 2025-02-05 14:57:39 | multilayer | 3 | 140603 | 26 | 32.096 | 4380.7 |
270 | 2025-01-30 17:42:39 | multilayer | 3 | 140603 | 26 | 32.380 | 4342.3 |
269 | 2025-01-24 14:32:05 | multilayer | 3 | 140603 | 26 | 46.720 | 3009.5 |
268 | 2025-01-24 07:04:12 | multilayer | 3 | 140603 | 26 | 33.910 | 4146.4 |
267 | 2025-01-21 07:35:48 | multilayer | 1 | 67641 | 2 | 6.313 | 10714.6 |
266 | 2025-01-15 09:56:21 | multilayer | 1 | 67641 | 2 | 4.000 | 16910.3 |
265 | 2025-01-13 10:25:56 | multilayer | 2 | 108824 | 5 | 14.736 | 7384.9 |
264 | 2025-01-13 10:23:32 | multilayer | 1 | 67641 | 2 | 3.703 | 18266.5 |
263 | 2025-01-04 00:29:46 | multilayer | 3 | 140603 | 26 | 44.236 | 3178.5 |
262 | 2025-01-02 03:01:02 | multilayer | 2 | 108824 | 5 | 14.940 | 7284.1 |
261 | 2025-01-02 02:59:38 | multilayer | 1 | 67641 | 2 | 5.640 | 11993.1 |
260 | 2024-12-23 16:27:15 | multilayer | 3 | 140603 | 26 | 29.170 | 4820.1 |
259 | 2024-12-19 07:15:54 | multilayer | 4 | 161450 | 128 | 64.316 | 2510.3 |
258 | 2024-12-19 04:43:30 | multilayer | 4 | 161450 | 128 | 51.850 | 3113.8 |
257 | 2024-12-18 16:31:24 | multilayer | 4 | 161450 | 128 | 56.190 | 2873.3 |
256 | 2024-12-18 12:42:15 | multilayer | 2 | 108824 | 5 | 19.720 | 5518.5 |
255 | 2024-12-18 11:17:00 | multilayer | 1 | 67641 | 2 | 1.000 | 67641.0 |
254 | 2024-12-18 11:16:21 | multilayer | 3 | 140603 | 26 | 7.420 | 18949.2 |
253 | 2024-12-18 06:26:35 | multilayer | 3 | 140603 | 26 | 34.130 | 4119.6 |
252 | 2024-12-13 11:28:28 | multilayer | 1 | 67641 | 2 | 3.580 | 18894.1 |
251 | 2024-12-02 06:46:57 | multilayer | 1 | 67641 | 2 | 6.326 | 10692.5 |
250 | 2024-11-28 09:19:13 | multilayer | 1 | 67641 | 2 | 2.436 | 27767.2 |
249 | 2024-11-23 00:36:10 | multilayer | 2 | 108824 | 5 | 18.406 | 5912.4 |
248 | 2024-11-21 04:26:56 | multilayer | 3 | 140603 | 26 | 31.206 | 4505.6 |
247 | 2024-11-20 08:09:45 | multilayer | 3 | 140603 | 26 | 44.076 | 3190.0 |
246 | 2024-11-17 12:09:11 | multilayer | 2 | 108824 | 5 | 22.626 | 4809.7 |
245 | 2024-11-17 12:05:46 | multilayer | 1 | 67641 | 2 | 1.283 | 52721.0 |
244 | 2024-11-17 06:46:34 | multilayer | 4 | 161450 | 128 | 55.380 | 2915.3 |
243 | 2024-11-17 01:23:00 | multilayer | 4 | 161450 | 128 | 60.956 | 2648.6 |
242 | 2024-11-15 15:28:24 | multilayer | 4 | 161450 | 128 | 53.813 | 3000.2 |
241 | 2024-11-15 14:01:08 | multilayer | 3 | 140603 | 26 | 27.183 | 5172.5 |
240 | 2024-11-14 02:43:07 | multilayer | 3 | 140603 | 26 | 50.096 | 2806.7 |
239 | 2024-10-28 14:31:02 | multilayer | 1 | 67641 | 2 | 1.030 | 65670.9 |
238 | 2024-10-20 05:22:00 | multilayer | 3 | 140603 | 26 | 31.923 | 4404.4 |
237 | 2024-10-17 16:44:59 | multilayer | 1 | 67641 | 2 | 8.236 | 8212.8 |
236 | 2024-10-08 21:29:07 | multilayer | 3 | 140603 | 26 | 64.720 | 2172.5 |
235 | 2024-10-05 13:18:06 | multilayer | 3 | 140603 | 26 | 48.423 | 2903.6 |
234 | 2024-10-05 02:02:31 | multilayer | 2 | 108824 | 5 | 17.546 | 6202.2 |
233 | 2024-10-05 01:55:00 | multilayer | 3 | 140603 | 26 | 47.690 | 2948.3 |
232 | 2024-10-05 01:54:42 | multilayer | 3 | 140603 | 26 | 39.530 | 3556.9 |
231 | 2024-10-02 03:55:43 | multilayer | 3 | 140603 | 26 | 41.893 | 3356.2 |
230 | 2024-09-30 05:39:37 | multilayer | 4 | 161450 | 128 | 69.836 | 2311.8 |
229 | 2024-09-30 05:39:47 | multilayer | 3 | 140603 | 26 | 47.320 | 2971.3 |
228 | 2024-09-30 05:39:56 | multilayer | 2 | 108824 | 5 | 22.830 | 4766.7 |
227 | 2024-09-30 05:36:47 | multilayer | 1 | 67641 | 2 | 7.953 | 8505.1 |
226 | 2024-09-25 18:09:11 | multilayer | 1 | 67641 | 2 | 8.873 | 7623.2 |
225 | 2024-09-16 21:16:30 | multilayer | 1 | 67641 | 2 | 4.843 | 13966.8 |
224 | 2024-08-18 05:00:42 | multilayer | 1 | 67641 | 2 | 4.843 | 13966.8 |
223 | 2024-08-11 12:50:13 | multilayer | 1 | 67641 | 2 | 2.080 | 32519.7 |
222 | 2024-07-26 12:15:51 | multilayer | 1 | 67641 | 2 | 4.110 | 16457.7 |
221 | 2024-07-12 01:33:54 | multilayer | 2 | 108824 | 5 | 5.796 | 18775.7 |
220 | 2024-07-12 01:28:38 | multilayer | 1 | 67641 | 2 | 3.813 | 17739.6 |
219 | 2024-07-10 11:09:31 | multilayer | 1 | 67641 | 2 | 4.390 | 15408.0 |