History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"varisized"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
290 | 2025-08-24 12:15:22 | varisized | 2 | 121436 | 2 | 3.483 | 34865.3 |
289 | 2025-08-24 09:43:45 | varisized | 3 | 148641 | 30 | 38.376 | 3873.3 |
288 | 2025-08-21 14:12:07 | varisized | 1 | 81242 | 1 | 3.703 | 21939.5 |
287 | 2025-08-19 13:52:39 | varisized | 1 | 81242 | 1 | 2.876 | 28248.3 |
286 | 2025-08-18 13:00:23 | varisized | 1 | 81242 | 1 | 1.360 | 59736.8 |
285 | 2025-08-17 09:58:25 | varisized | 1 | 81242 | 1 | 3.140 | 25873.2 |
284 | 2025-08-15 03:16:50 | varisized | 1 | 81242 | 1 | 3.296 | 24648.7 |
283 | 2025-08-09 12:35:07 | varisized | 1 | 81242 | 1 | 4.860 | 16716.5 |
282 | 2025-08-09 11:20:22 | varisized | 1 | 81242 | 1 | 6.656 | 12205.8 |
281 | 2025-07-28 14:27:56 | varisized | 1 | 81242 | 1 | 2.780 | 29223.7 |
280 | 2025-07-25 05:31:10 | varisized | 1 | 81242 | 1 | 4.360 | 18633.5 |
279 | 2025-07-22 10:35:40 | varisized | 1 | 81242 | 1 | 1.406 | 57782.4 |
278 | 2025-07-19 18:28:33 | varisized | 2 | 121436 | 2 | 3.753 | 32357.0 |
277 | 2025-07-18 09:19:08 | varisized | 4 | 165329 | 369 | 46.906 | 3524.7 |
276 | 2025-07-16 23:20:04 | varisized | 1 | 81242 | 1 | 3.080 | 26377.3 |
275 | 2025-07-15 16:39:32 | varisized | 1 | 81242 | 1 | 1.483 | 54782.2 |
274 | 2025-07-13 14:13:14 | varisized | 1 | 81242 | 1 | 2.750 | 29542.5 |
273 | 2025-07-12 15:21:20 | varisized | 4 | 165329 | 369 | 14.890 | 11103.4 |
272 | 2025-07-12 00:24:01 | varisized | 4 | 165329 | 369 | 37.656 | 4390.5 |
271 | 2025-07-11 19:53:19 | varisized | 4 | 165329 | 369 | 80.956 | 2042.2 |
270 | 2025-07-10 03:56:51 | varisized | 4 | 165329 | 369 | 52.346 | 3158.4 |
269 | 2025-07-09 22:24:16 | varisized | 1 | 81242 | 1 | 6.110 | 13296.6 |
268 | 2025-07-09 11:30:43 | varisized | 1 | 81242 | 1 | 1.376 | 59042.2 |
267 | 2025-07-03 23:19:01 | varisized | 1 | 81242 | 1 | 7.940 | 10232.0 |
266 | 2025-06-27 10:23:06 | varisized | 1 | 81242 | 1 | 3.233 | 25129.0 |
265 | 2025-06-27 06:46:22 | varisized | 1 | 81242 | 1 | 7.360 | 11038.3 |
264 | 2025-06-24 19:25:52 | varisized | 1 | 81242 | 1 | 1.470 | 55266.7 |
263 | 2025-06-23 08:04:59 | varisized | 1 | 81242 | 1 | 1.220 | 66591.8 |
262 | 2025-06-20 06:04:30 | varisized | 1 | 81242 | 1 | 6.843 | 11872.3 |
261 | 2025-06-14 15:13:23 | varisized | 1 | 81242 | 1 | 6.813 | 11924.6 |
260 | 2025-06-05 09:49:48 | varisized | 4 | 165329 | 369 | 12.670 | 13048.9 |
259 | 2025-06-03 19:12:56 | varisized | 4 | 165329 | 369 | 33.266 | 4969.9 |
258 | 2025-05-31 13:22:37 | varisized | 4 | 165329 | 369 | 63.300 | 2611.8 |
257 | 2025-05-30 10:34:23 | varisized | 1 | 81242 | 1 | 5.300 | 15328.7 |
256 | 2025-05-30 08:30:49 | varisized | 3 | 148641 | 30 | 26.563 | 5595.8 |
255 | 2025-05-29 01:54:58 | varisized | 4 | 165329 | 369 | 60.613 | 2727.6 |
254 | 2025-05-26 20:36:08 | varisized | 3 | 148641 | 30 | 19.406 | 7659.5 |
253 | 2025-05-26 11:01:43 | varisized | 1 | 81242 | 1 | 6.033 | 13466.3 |
252 | 2025-05-25 14:11:42 | varisized | 1 | 81242 | 1 | 1.216 | 66810.9 |
251 | 2025-05-23 08:13:31 | varisized | 2 | 121436 | 2 | 11.453 | 10603.0 |
250 | 2025-05-11 16:18:00 | varisized | 3 | 148641 | 30 | 15.550 | 9558.9 |
249 | 2025-05-08 18:49:41 | varisized | 3 | 148641 | 30 | 34.313 | 4331.9 |
248 | 2025-05-06 00:09:44 | varisized | 3 | 148641 | 30 | 38.250 | 3886.0 |
247 | 2025-05-05 15:27:59 | varisized | 2 | 121436 | 2 | 17.690 | 6864.7 |
246 | 2025-05-05 07:51:25 | varisized | 3 | 148641 | 30 | 7.453 | 19943.8 |
245 | 2025-05-04 19:11:28 | varisized | 1 | 81242 | 1 | 1.406 | 57782.4 |
244 | 2025-04-30 07:28:05 | varisized | 1 | 81242 | 1 | 8.856 | 9173.7 |
243 | 2025-04-20 03:28:09 | varisized | 1 | 81242 | 1 | 6.453 | 12589.8 |
242 | 2025-04-18 13:16:57 | varisized | 1 | 81242 | 1 | 7.750 | 10482.8 |
241 | 2025-04-09 13:23:36 | varisized | 1 | 81242 | 1 | 7.313 | 11109.3 |
240 | 2025-04-06 09:52:42 | varisized | 1 | 81242 | 1 | 3.266 | 24875.1 |
239 | 2025-03-16 08:54:23 | varisized | 1 | 81242 | 1 | 6.970 | 11656.0 |
238 | 2025-03-11 04:25:49 | varisized | 1 | 81242 | 1 | 7.000 | 11606.0 |
237 | 2025-02-28 04:06:47 | varisized | 3 | 148641 | 30 | 29.143 | 5100.4 |
236 | 2025-02-27 18:00:10 | varisized | 1 | 81242 | 1 | 6.300 | 12895.6 |
235 | 2025-02-26 14:24:01 | varisized | 3 | 148641 | 30 | 41.860 | 3550.9 |
234 | 2025-02-26 14:23:54 | varisized | 2 | 121436 | 2 | 18.140 | 6694.4 |
233 | 2025-02-26 14:23:28 | varisized | 3 | 148641 | 30 | 32.486 | 4575.5 |
232 | 2025-02-26 14:15:46 | varisized | 1 | 81242 | 1 | 5.076 | 16005.1 |
231 | 2025-01-30 07:17:48 | varisized | 1 | 81242 | 1 | 6.686 | 12151.1 |
230 | 2025-01-15 19:50:10 | varisized | 3 | 148641 | 30 | 51.876 | 2865.3 |
229 | 2025-01-15 19:50:09 | varisized | 3 | 148641 | 30 | 34.690 | 4284.8 |
228 | 2025-01-15 19:50:12 | varisized | 2 | 121436 | 2 | 18.536 | 6551.4 |
227 | 2025-01-15 19:49:02 | varisized | 1 | 81242 | 1 | 7.030 | 11556.5 |
226 | 2025-01-15 01:17:37 | varisized | 3 | 148641 | 30 | 40.520 | 3668.3 |
225 | 2025-01-13 15:00:04 | varisized | 3 | 148641 | 30 | 29.186 | 5092.9 |
224 | 2025-01-13 14:59:22 | varisized | 1 | 81242 | 1 | 6.733 | 12066.2 |
223 | 2025-01-10 15:31:20 | varisized | 2 | 121436 | 2 | 16.470 | 7373.2 |
222 | 2025-01-08 23:52:39 | varisized | 2 | 121436 | 2 | 15.920 | 7627.9 |
221 | 2025-01-08 23:51:32 | varisized | 1 | 81242 | 1 | 6.513 | 12473.8 |
220 | 2024-12-27 15:26:00 | varisized | 1 | 81242 | 1 | 6.890 | 11791.3 |
219 | 2024-12-16 05:30:51 | varisized | 3 | 148641 | 30 | 39.753 | 3739.1 |
218 | 2024-12-11 10:01:34 | varisized | 3 | 148641 | 30 | 42.990 | 3457.6 |
217 | 2024-12-11 02:05:14 | varisized | 3 | 148641 | 30 | 49.253 | 3017.9 |
216 | 2024-12-11 02:05:12 | varisized | 3 | 148641 | 30 | 38.283 | 3882.7 |
215 | 2024-12-11 02:05:15 | varisized | 2 | 121436 | 2 | 25.343 | 4791.7 |
214 | 2024-12-11 02:00:43 | varisized | 1 | 81242 | 1 | 6.686 | 12151.1 |
213 | 2024-12-04 23:56:17 | varisized | 1 | 81242 | 1 | 3.500 | 23212.0 |
212 | 2024-12-03 08:04:27 | varisized | 1 | 81242 | 1 | 5.703 | 14245.5 |
211 | 2024-11-27 12:56:50 | varisized | 1 | 81242 | 1 | 7.936 | 10237.1 |
210 | 2024-11-02 07:27:00 | varisized | 2 | 121436 | 2 | 16.690 | 7276.0 |
209 | 2024-11-02 07:26:04 | varisized | 1 | 81242 | 1 | 4.390 | 18506.2 |
208 | 2024-10-31 22:01:06 | varisized | 3 | 148641 | 30 | 33.313 | 4462.0 |
207 | 2024-10-31 22:01:08 | varisized | 2 | 121436 | 2 | 23.800 | 5102.4 |
206 | 2024-10-31 21:21:05 | varisized | 1 | 81242 | 1 | 5.546 | 14648.8 |
205 | 2024-10-29 05:48:46 | varisized | 3 | 148641 | 30 | 43.930 | 3383.6 |
204 | 2024-10-27 18:13:52 | varisized | 1 | 81242 | 1 | 10.233 | 7939.2 |
203 | 2024-10-22 18:18:49 | varisized | 3 | 148641 | 30 | 46.440 | 3200.7 |
202 | 2024-10-22 18:18:52 | varisized | 3 | 148641 | 30 | 28.033 | 5302.4 |
201 | 2024-10-22 18:18:46 | varisized | 2 | 121436 | 2 | 9.906 | 12258.8 |
200 | 2024-10-10 21:47:31 | varisized | 1 | 81242 | 1 | 1.186 | 68500.8 |
199 | 2024-09-10 22:51:46 | varisized | 1 | 81242 | 1 | 11.093 | 7323.7 |
198 | 2024-08-19 09:13:42 | varisized | 3 | 148641 | 30 | 36.643 | 4056.5 |
197 | 2024-08-15 13:08:13 | varisized | 1 | 81242 | 1 | 10.033 | 8097.5 |
196 | 2024-08-11 17:10:29 | varisized | 3 | 148641 | 30 | 52.406 | 2836.3 |
195 | 2024-08-09 17:06:13 | varisized | 3 | 148641 | 30 | 17.360 | 8562.3 |
194 | 2024-08-01 05:00:33 | varisized | 3 | 148641 | 30 | 36.566 | 4065.0 |
193 | 2024-07-30 12:19:11 | varisized | 3 | 148641 | 30 | 17.796 | 8352.5 |
192 | 2024-07-29 06:14:23 | varisized | 1 | 81242 | 1 | 4.033 | 20144.3 |
191 | 2024-07-29 03:29:05 | varisized | 1 | 81242 | 1 | 3.720 | 21839.2 |