History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swanherd"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
328 | 2025-08-24 21:39:39 | swanherd | 1 | 82945 | 2 | 7.406 | 11199.7 |
327 | 2025-08-09 00:04:11 | swanherd | 1 | 82945 | 2 | 4.420 | 18765.8 |
326 | 2025-08-05 05:46:38 | swanherd | 2 | 121059 | 13 | 7.940 | 15246.7 |
325 | 2025-08-05 04:59:44 | swanherd | 1 | 82945 | 2 | 3.376 | 24569.0 |
324 | 2025-08-04 23:26:16 | swanherd | 3 | 146162 | 133 | 16.766 | 8717.8 |
323 | 2025-08-04 08:29:29 | swanherd | 1 | 82945 | 2 | 3.703 | 22399.4 |
322 | 2025-08-01 01:45:19 | swanherd | 3 | 146162 | 133 | 26.596 | 5495.6 |
321 | 2025-07-28 05:32:12 | swanherd | 2 | 121059 | 13 | 8.440 | 14343.5 |
320 | 2025-07-28 03:54:30 | swanherd | 3 | 146162 | 133 | 20.686 | 7065.7 |
319 | 2025-07-27 06:50:04 | swanherd | 1 | 82945 | 2 | 3.860 | 21488.3 |
318 | 2025-07-26 03:37:09 | swanherd | 1 | 82945 | 2 | 3.940 | 21052.0 |
317 | 2025-07-25 06:17:53 | swanherd | 1 | 82945 | 2 | 3.173 | 26140.9 |
316 | 2025-07-12 08:49:39 | swanherd | 1 | 82945 | 2 | 1.563 | 53067.8 |
315 | 2025-07-07 06:41:18 | swanherd | 2 | 121059 | 13 | 13.420 | 9020.8 |
314 | 2025-07-05 05:25:43 | swanherd | 2 | 121059 | 13 | 18.766 | 6451.0 |
313 | 2025-07-03 19:53:55 | swanherd | 1 | 82945 | 2 | 1.453 | 57085.3 |
312 | 2025-06-30 07:16:34 | swanherd | 1 | 82945 | 2 | 6.983 | 11878.1 |
311 | 2025-06-25 02:05:23 | swanherd | 2 | 121059 | 13 | 24.690 | 4903.2 |
310 | 2025-06-24 07:02:26 | swanherd | 1 | 82945 | 2 | 4.016 | 20653.6 |
309 | 2025-06-23 16:40:05 | swanherd | 1 | 82945 | 2 | 1.580 | 52496.8 |
308 | 2025-06-20 00:27:41 | swanherd | 3 | 146162 | 133 | 27.126 | 5388.3 |
307 | 2025-06-19 05:23:37 | swanherd | 3 | 146162 | 133 | 33.110 | 4414.4 |
306 | 2025-06-17 13:41:01 | swanherd | 3 | 146162 | 133 | 7.343 | 19904.9 |
305 | 2025-06-08 12:18:47 | swanherd | 1 | 82945 | 2 | 10.953 | 7572.8 |
304 | 2025-05-31 15:10:13 | swanherd | 3 | 146162 | 133 | 25.923 | 5638.3 |
303 | 2025-05-31 06:15:19 | swanherd | 1 | 82945 | 2 | 7.263 | 11420.2 |
302 | 2025-05-31 05:58:23 | swanherd | 2 | 121059 | 13 | 17.843 | 6784.7 |
301 | 2025-05-31 05:35:42 | swanherd | 2 | 121059 | 13 | 18.220 | 6644.3 |
300 | 2025-05-30 00:39:29 | swanherd | 1 | 82945 | 2 | 1.470 | 56425.2 |
299 | 2025-05-29 21:47:38 | swanherd | 3 | 146162 | 133 | 7.546 | 19369.5 |
298 | 2025-05-28 16:50:12 | swanherd | 3 | 146162 | 133 | 7.420 | 19698.4 |
297 | 2025-05-28 02:00:34 | swanherd | 2 | 121059 | 13 | 7.796 | 15528.3 |
296 | 2025-05-27 15:42:32 | swanherd | 1 | 82945 | 2 | 8.983 | 9233.6 |
295 | 2025-05-24 06:48:35 | swanherd | 1 | 82945 | 2 | 6.843 | 12121.1 |
294 | 2025-05-22 17:08:23 | swanherd | 1 | 82945 | 2 | 10.266 | 8079.6 |
293 | 2025-05-18 03:57:27 | swanherd | 1 | 82945 | 2 | 6.766 | 12259.1 |
292 | 2025-05-17 15:14:56 | swanherd | 1 | 82945 | 2 | 7.126 | 11639.8 |
291 | 2025-05-16 14:38:01 | swanherd | 1 | 82945 | 2 | 7.483 | 11084.5 |
290 | 2025-05-08 12:08:05 | swanherd | 1 | 82945 | 2 | 9.470 | 8758.7 |
289 | 2025-04-23 06:24:11 | swanherd | 1 | 82945 | 2 | 6.640 | 12491.7 |
288 | 2025-04-20 15:04:46 | swanherd | 1 | 82945 | 2 | 3.703 | 22399.4 |
287 | 2025-04-16 05:42:03 | swanherd | 1 | 82945 | 2 | 4.846 | 17116.2 |
286 | 2025-04-14 19:07:25 | swanherd | 1 | 82945 | 2 | 1.420 | 58412.0 |
285 | 2025-04-13 13:20:54 | swanherd | 3 | 146162 | 133 | 7.610 | 19206.6 |
284 | 2025-04-13 11:06:42 | swanherd | 3 | 146162 | 133 | 7.656 | 19091.2 |
283 | 2025-04-13 05:16:32 | swanherd | 3 | 146162 | 133 | 7.220 | 20244.0 |
282 | 2025-04-06 11:56:09 | swanherd | 1 | 82945 | 2 | 6.813 | 12174.5 |
281 | 2025-03-31 07:06:03 | swanherd | 2 | 121059 | 13 | 21.360 | 5667.6 |
280 | 2025-03-24 23:58:29 | swanherd | 1 | 82945 | 2 | 3.703 | 22399.4 |
279 | 2025-03-23 06:51:17 | swanherd | 3 | 146162 | 133 | 42.703 | 3422.8 |
278 | 2025-03-22 08:29:04 | swanherd | 2 | 121059 | 13 | 10.736 | 11276.0 |
277 | 2025-03-21 22:54:10 | swanherd | 3 | 146162 | 133 | 37.550 | 3892.5 |
276 | 2025-03-20 17:43:17 | swanherd | 1 | 82945 | 2 | 7.890 | 10512.7 |
275 | 2025-03-17 03:25:11 | swanherd | 1 | 82945 | 2 | 7.483 | 11084.5 |
274 | 2025-03-17 02:53:36 | swanherd | 1 | 82945 | 2 | 8.766 | 9462.1 |
273 | 2025-03-16 05:59:43 | swanherd | 1 | 82945 | 2 | 1.546 | 53651.4 |
272 | 2025-02-07 14:08:48 | swanherd | 1 | 82945 | 2 | 9.110 | 9104.8 |
271 | 2025-02-07 14:08:25 | swanherd | 3 | 146162 | 133 | 11.296 | 12939.3 |
270 | 2025-02-07 14:08:24 | swanherd | 2 | 121059 | 13 | 3.606 | 33571.5 |
269 | 2025-02-05 22:31:20 | swanherd | 2 | 121059 | 13 | 3.860 | 31362.4 |
268 | 2025-02-05 22:31:03 | swanherd | 3 | 146162 | 133 | 7.330 | 19940.2 |
267 | 2025-01-28 02:36:05 | swanherd | 2 | 121059 | 13 | 7.060 | 17147.2 |
266 | 2025-01-28 01:59:12 | swanherd | 3 | 146162 | 133 | 10.626 | 13755.1 |
265 | 2025-01-28 00:13:02 | swanherd | 1 | 82945 | 2 | 6.016 | 13787.4 |
264 | 2025-01-26 13:00:38 | swanherd | 3 | 146162 | 133 | 16.673 | 8766.4 |
263 | 2025-01-26 13:00:44 | swanherd | 2 | 121059 | 13 | 8.486 | 14265.7 |
262 | 2025-01-24 21:04:12 | swanherd | 2 | 121059 | 13 | 15.623 | 7748.8 |
261 | 2025-01-06 20:16:05 | swanherd | 2 | 121059 | 13 | 3.690 | 32807.3 |
260 | 2025-01-05 12:55:06 | swanherd | 3 | 146162 | 133 | 6.956 | 21012.4 |
259 | 2025-01-04 15:13:43 | swanherd | 3 | 146162 | 133 | 27.066 | 5400.2 |
258 | 2025-01-04 15:13:44 | swanherd | 2 | 121059 | 13 | 12.080 | 10021.4 |
257 | 2025-01-04 15:13:28 | swanherd | 1 | 82945 | 2 | 5.220 | 15889.8 |
256 | 2024-12-30 12:14:16 | swanherd | 1 | 82945 | 2 | 5.873 | 14123.1 |
255 | 2024-12-18 11:25:50 | swanherd | 1 | 82945 | 2 | 4.800 | 17280.2 |
254 | 2024-12-18 11:23:12 | swanherd | 2 | 121059 | 13 | 17.500 | 6917.7 |
253 | 2024-12-14 23:42:51 | swanherd | 2 | 121059 | 13 | 18.516 | 6538.1 |
252 | 2024-12-14 20:30:18 | swanherd | 3 | 146162 | 133 | 30.893 | 4731.2 |
251 | 2024-12-07 04:35:11 | swanherd | 2 | 121059 | 13 | 20.750 | 5834.2 |
250 | 2024-12-07 04:35:02 | swanherd | 1 | 82945 | 2 | 9.343 | 8877.8 |
249 | 2024-11-29 15:07:40 | swanherd | 2 | 121059 | 13 | 10.530 | 11496.6 |
248 | 2024-11-29 15:07:40 | swanherd | 1 | 82945 | 2 | 7.420 | 11178.6 |
247 | 2024-11-29 14:43:47 | swanherd | 3 | 146162 | 133 | 6.673 | 21903.5 |
246 | 2024-11-29 04:19:51 | swanherd | 3 | 146162 | 133 | 32.360 | 4516.7 |
245 | 2024-11-29 01:49:40 | swanherd | 3 | 146162 | 133 | 20.143 | 7256.2 |
244 | 2024-11-18 16:48:52 | swanherd | 3 | 146162 | 133 | 35.003 | 4175.7 |
243 | 2024-11-13 11:31:24 | swanherd | 2 | 121059 | 13 | 3.640 | 33258.0 |
242 | 2024-11-13 11:30:54 | swanherd | 1 | 82945 | 2 | 1.420 | 58412.0 |
241 | 2024-10-31 18:59:50 | swanherd | 3 | 146162 | 133 | 54.346 | 2689.5 |
240 | 2024-10-31 01:28:49 | swanherd | 1 | 82945 | 2 | 1.516 | 54713.1 |
239 | 2024-10-30 00:25:25 | swanherd | 1 | 82945 | 2 | 8.593 | 9652.6 |
238 | 2024-10-30 00:01:06 | swanherd | 2 | 121059 | 13 | 4.373 | 27683.3 |
237 | 2024-10-28 07:48:02 | swanherd | 2 | 121059 | 13 | 14.813 | 8172.5 |
236 | 2024-10-28 07:48:03 | swanherd | 1 | 82945 | 2 | 6.576 | 12613.3 |
235 | 2024-10-28 07:34:47 | swanherd | 3 | 146162 | 133 | 6.783 | 21548.3 |
234 | 2024-10-27 21:50:43 | swanherd | 3 | 146162 | 133 | 41.100 | 3556.3 |
233 | 2024-10-27 12:15:38 | swanherd | 3 | 146162 | 133 | 37.486 | 3899.1 |
232 | 2024-10-27 00:08:46 | swanherd | 3 | 146162 | 133 | 45.970 | 3179.5 |
231 | 2024-10-27 00:06:33 | swanherd | 3 | 146162 | 133 | 27.503 | 5314.4 |
230 | 2024-10-23 22:54:43 | swanherd | 2 | 121059 | 13 | 18.203 | 6650.5 |
229 | 2024-10-23 22:50:44 | swanherd | 1 | 82945 | 2 | 6.250 | 13271.2 |