History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"uniformity"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
284 | 2025-09-03 03:15:31 | uniformity | 3 | 140603 | 18 | 14.156 | 9932.4 |
283 | 2025-08-31 12:50:47 | uniformity | 3 | 140603 | 18 | 6.203 | 22666.9 |
282 | 2025-08-25 08:23:58 | uniformity | 1 | 67641 | 1 | 2.436 | 27767.2 |
281 | 2025-08-19 01:35:22 | uniformity | 3 | 140603 | 18 | 21.673 | 6487.5 |
280 | 2025-08-12 04:56:03 | uniformity | 4 | 161450 | 40 | 43.926 | 3675.5 |
279 | 2025-08-12 03:08:04 | uniformity | 3 | 140603 | 18 | 15.670 | 8972.8 |
278 | 2025-08-11 12:47:00 | uniformity | 4 | 161450 | 40 | 46.660 | 3460.1 |
277 | 2025-08-11 10:34:23 | uniformity | 3 | 140603 | 18 | 13.643 | 10305.9 |
276 | 2025-08-11 05:46:04 | uniformity | 2 | 108824 | 3 | 9.660 | 11265.4 |
275 | 2025-08-11 05:26:28 | uniformity | 4 | 161450 | 40 | 30.063 | 5370.4 |
274 | 2025-08-09 17:53:25 | uniformity | 1 | 67641 | 1 | 1.093 | 61885.6 |
273 | 2025-07-23 00:09:29 | uniformity | 1 | 67641 | 1 | 4.750 | 14240.2 |
272 | 2025-07-16 12:40:43 | uniformity | 1 | 67641 | 1 | 6.393 | 10580.5 |
271 | 2025-07-10 01:52:09 | uniformity | 5 | 173545 | 255 | 87.206 | 1990.1 |
270 | 2025-07-07 03:28:05 | uniformity | 1 | 67641 | 1 | 5.063 | 13359.9 |
269 | 2025-06-27 11:20:01 | uniformity | 5 | 173545 | 255 | 109.426 | 1586.0 |
268 | 2025-06-27 00:56:05 | uniformity | 5 | 173545 | 255 | 44.943 | 3861.4 |
267 | 2025-06-26 17:13:07 | uniformity | 1 | 67641 | 1 | 3.826 | 17679.3 |
266 | 2025-06-20 23:02:40 | uniformity | 5 | 173545 | 255 | 66.736 | 2600.5 |
265 | 2025-06-18 16:09:21 | uniformity | 5 | 173545 | 255 | 91.940 | 1887.6 |
264 | 2025-06-18 09:07:20 | uniformity | 1 | 67641 | 1 | 3.720 | 18183.1 |
263 | 2025-06-18 08:21:45 | uniformity | 5 | 173545 | 255 | 77.080 | 2251.5 |
262 | 2025-06-16 18:35:58 | uniformity | 5 | 173545 | 255 | 104.830 | 1655.5 |
261 | 2025-06-15 06:50:15 | uniformity | 2 | 108824 | 3 | 3.046 | 35726.9 |
260 | 2025-06-11 23:11:07 | uniformity | 2 | 108824 | 3 | 13.970 | 7789.8 |
259 | 2025-06-10 07:20:20 | uniformity | 1 | 67641 | 1 | 7.143 | 9469.6 |
258 | 2025-06-09 04:12:52 | uniformity | 4 | 161450 | 40 | 11.000 | 14677.3 |
257 | 2025-06-08 09:26:11 | uniformity | 4 | 161450 | 40 | 54.126 | 2982.9 |
256 | 2025-06-06 11:28:03 | uniformity | 1 | 67641 | 1 | 5.813 | 11636.2 |
255 | 2025-06-02 11:29:44 | uniformity | 4 | 161450 | 40 | 34.766 | 4643.9 |
254 | 2025-05-27 22:14:33 | uniformity | 4 | 161450 | 40 | 10.656 | 15151.1 |
253 | 2025-05-27 04:13:50 | uniformity | 2 | 108824 | 3 | 7.580 | 14356.7 |
252 | 2025-05-25 16:57:48 | uniformity | 1 | 67641 | 1 | 2.016 | 33552.1 |
251 | 2025-05-15 15:54:15 | uniformity | 3 | 140603 | 18 | 10.670 | 13177.4 |
250 | 2025-05-12 13:56:28 | uniformity | 3 | 140603 | 18 | 38.550 | 3647.3 |
249 | 2025-05-08 04:35:36 | uniformity | 3 | 140603 | 18 | 37.830 | 3716.7 |
248 | 2025-05-06 07:04:21 | uniformity | 2 | 108824 | 3 | 12.780 | 8515.2 |
247 | 2025-05-06 06:35:54 | uniformity | 4 | 161450 | 40 | 76.333 | 2115.1 |
246 | 2025-05-05 11:14:18 | uniformity | 1 | 67641 | 1 | 5.140 | 13159.7 |
245 | 2025-05-04 13:34:04 | uniformity | 2 | 108824 | 3 | 22.800 | 4773.0 |
244 | 2025-05-04 01:39:11 | uniformity | 4 | 161450 | 40 | 62.296 | 2591.7 |
243 | 2025-05-02 02:53:18 | uniformity | 1 | 67641 | 1 | 3.033 | 22301.7 |
242 | 2025-04-30 08:57:45 | uniformity | 1 | 67641 | 1 | 3.673 | 18415.7 |
241 | 2025-04-26 06:49:00 | uniformity | 1 | 67641 | 1 | 5.953 | 11362.5 |
240 | 2025-04-23 20:32:59 | uniformity | 4 | 161450 | 40 | 39.453 | 4092.2 |
239 | 2025-04-23 17:37:41 | uniformity | 1 | 67641 | 1 | 4.126 | 16393.8 |
238 | 2025-04-02 11:24:33 | uniformity | 4 | 161450 | 40 | 58.660 | 2752.3 |
237 | 2025-04-02 04:31:16 | uniformity | 2 | 108824 | 3 | 18.046 | 6030.4 |
236 | 2025-04-02 04:04:12 | uniformity | 3 | 140603 | 18 | 20.490 | 6862.0 |
235 | 2025-03-27 11:42:42 | uniformity | 3 | 140603 | 18 | 41.780 | 3365.3 |
234 | 2025-03-25 03:53:15 | uniformity | 1 | 67641 | 1 | 2.796 | 24192.1 |
233 | 2025-03-23 18:52:10 | uniformity | 1 | 67641 | 1 | 5.716 | 11833.6 |
232 | 2025-02-22 10:26:04 | uniformity | 1 | 67641 | 1 | 5.500 | 12298.4 |
231 | 2025-02-17 09:05:45 | uniformity | 3 | 140603 | 18 | 30.016 | 4684.3 |
230 | 2025-02-12 08:54:42 | uniformity | 3 | 140603 | 18 | 32.596 | 4313.5 |
229 | 2025-02-12 00:27:32 | uniformity | 3 | 140603 | 18 | 32.303 | 4352.6 |
228 | 2025-02-02 13:36:47 | uniformity | 4 | 161450 | 40 | 52.456 | 3077.8 |
227 | 2025-02-02 08:06:51 | uniformity | 4 | 161450 | 40 | 51.440 | 3138.6 |
226 | 2025-02-02 08:06:52 | uniformity | 2 | 108824 | 3 | 7.403 | 14700.0 |
225 | 2025-02-02 08:06:16 | uniformity | 4 | 161450 | 40 | 29.656 | 5444.1 |
224 | 2025-02-02 08:03:58 | uniformity | 1 | 67641 | 1 | 6.560 | 10311.1 |
223 | 2025-02-01 19:01:55 | uniformity | 3 | 140603 | 18 | 28.313 | 4966.0 |
222 | 2025-01-27 01:30:31 | uniformity | 1 | 67641 | 1 | 0.983 | 68810.8 |
221 | 2025-01-24 07:17:35 | uniformity | 1 | 67641 | 1 | 5.390 | 12549.4 |
220 | 2025-01-21 00:25:44 | uniformity | 3 | 140603 | 18 | 31.300 | 4492.1 |
219 | 2025-01-21 00:25:40 | uniformity | 3 | 140603 | 18 | 32.096 | 4380.7 |
218 | 2025-01-21 00:25:49 | uniformity | 2 | 108824 | 3 | 18.263 | 5958.7 |
217 | 2025-01-21 00:24:21 | uniformity | 1 | 67641 | 1 | 2.860 | 23650.7 |
216 | 2025-01-14 05:31:10 | uniformity | 3 | 140603 | 18 | 33.860 | 4152.5 |
215 | 2025-01-11 03:21:58 | uniformity | 3 | 140603 | 18 | 28.030 | 5016.2 |
214 | 2025-01-10 00:38:21 | uniformity | 3 | 140603 | 18 | 37.720 | 3727.5 |
213 | 2024-12-24 23:51:59 | uniformity | 1 | 67641 | 1 | 7.546 | 8963.8 |
212 | 2024-12-15 18:39:33 | uniformity | 1 | 67641 | 1 | 3.393 | 19935.5 |
211 | 2024-12-13 22:43:42 | uniformity | 3 | 140603 | 18 | 30.393 | 4626.2 |
210 | 2024-12-13 22:43:38 | uniformity | 3 | 140603 | 18 | 27.346 | 5141.6 |
209 | 2024-12-13 22:42:46 | uniformity | 1 | 67641 | 1 | 5.546 | 12196.4 |
208 | 2024-12-07 21:56:51 | uniformity | 3 | 140603 | 18 | 30.316 | 4637.9 |
207 | 2024-11-29 00:59:55 | uniformity | 3 | 140603 | 18 | 15.360 | 9153.8 |
206 | 2024-11-22 00:23:19 | uniformity | 3 | 140603 | 18 | 30.626 | 4591.0 |
205 | 2024-11-18 23:13:59 | uniformity | 3 | 140603 | 18 | 31.940 | 4402.1 |
204 | 2024-11-18 23:14:03 | uniformity | 2 | 108824 | 3 | 14.970 | 7269.5 |
203 | 2024-11-18 02:45:25 | uniformity | 1 | 67641 | 1 | 1.016 | 66575.8 |
202 | 2024-11-13 16:02:33 | uniformity | 1 | 67641 | 1 | 1.110 | 60937.8 |
201 | 2024-11-08 16:42:47 | uniformity | 1 | 67641 | 1 | 5.220 | 12958.0 |
200 | 2024-11-08 00:05:07 | uniformity | 3 | 140603 | 18 | 31.316 | 4489.8 |
199 | 2024-11-07 15:16:41 | uniformity | 3 | 140603 | 18 | 29.126 | 4827.4 |
198 | 2024-11-07 09:20:08 | uniformity | 3 | 140603 | 18 | 20.750 | 6776.0 |
197 | 2024-10-27 00:52:53 | uniformity | 1 | 67641 | 1 | 2.546 | 26567.6 |
196 | 2024-10-26 20:23:59 | uniformity | 3 | 140603 | 18 | 35.356 | 3976.8 |
195 | 2024-10-23 11:45:17 | uniformity | 3 | 140603 | 18 | 24.830 | 5662.6 |
194 | 2024-10-22 16:49:32 | uniformity | 4 | 161450 | 40 | 60.833 | 2654.0 |
193 | 2024-10-22 16:49:31 | uniformity | 3 | 140603 | 18 | 30.440 | 4619.0 |
192 | 2024-10-22 16:49:32 | uniformity | 2 | 108824 | 3 | 12.690 | 8575.6 |
191 | 2024-10-22 16:49:17 | uniformity | 1 | 67641 | 1 | 5.500 | 12298.4 |
190 | 2024-10-20 21:07:57 | uniformity | 4 | 161450 | 40 | 43.250 | 3732.9 |
189 | 2024-10-13 04:08:17 | uniformity | 4 | 161450 | 40 | 45.273 | 3566.1 |
188 | 2024-10-05 16:52:46 | uniformity | 4 | 161450 | 40 | 82.583 | 1955.0 |
187 | 2024-10-02 11:27:21 | uniformity | 4 | 161450 | 40 | 86.566 | 1865.1 |
186 | 2024-09-21 14:46:24 | uniformity | 3 | 140603 | 18 | 23.640 | 5947.7 |
185 | 2024-09-21 03:40:20 | uniformity | 1 | 67641 | 1 | 10.656 | 6347.7 |