History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"workhorse"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
282 | 2025-07-10 15:16:43 | workhorse | 1 | 81242 | 3 | 6.750 | 12035.9 |
281 | 2025-06-21 11:55:49 | workhorse | 3 | 148641 | 25 | 7.486 | 19855.9 |
280 | 2025-06-20 23:27:01 | workhorse | 2 | 121436 | 8 | 18.563 | 6541.8 |
279 | 2025-06-16 22:02:56 | workhorse | 1 | 81242 | 3 | 6.533 | 12435.6 |
278 | 2025-06-15 04:03:53 | workhorse | 2 | 121436 | 8 | 3.563 | 34082.5 |
277 | 2025-06-14 08:27:46 | workhorse | 3 | 148641 | 25 | 21.910 | 6784.2 |
276 | 2025-06-14 04:22:23 | workhorse | 4 | 165329 | 169 | 44.080 | 3750.7 |
275 | 2025-06-13 22:27:06 | workhorse | 4 | 165329 | 169 | 50.063 | 3302.4 |
274 | 2025-06-13 17:09:02 | workhorse | 3 | 148641 | 25 | 7.156 | 20771.5 |
273 | 2025-06-12 20:18:31 | workhorse | 4 | 165329 | 169 | 39.393 | 4196.9 |
272 | 2025-06-10 08:48:42 | workhorse | 3 | 148641 | 25 | 21.376 | 6953.6 |
271 | 2025-06-10 01:32:32 | workhorse | 4 | 165329 | 169 | 61.520 | 2687.4 |
270 | 2025-06-09 22:03:44 | workhorse | 2 | 121436 | 8 | 19.796 | 6134.4 |
269 | 2025-06-09 13:51:38 | workhorse | 1 | 81242 | 3 | 1.453 | 55913.3 |
268 | 2025-05-26 08:58:37 | workhorse | 1 | 81242 | 3 | 3.406 | 23852.6 |
267 | 2025-05-04 08:42:08 | workhorse | 1 | 81242 | 3 | 9.216 | 8815.3 |
266 | 2025-04-14 10:35:52 | workhorse | 1 | 81242 | 3 | 6.283 | 12930.4 |
265 | 2025-04-10 21:40:48 | workhorse | 3 | 148641 | 25 | 27.733 | 5359.7 |
264 | 2025-04-09 16:47:55 | workhorse | 3 | 148641 | 25 | 30.393 | 4890.6 |
263 | 2025-04-04 07:37:06 | workhorse | 3 | 148641 | 25 | 38.173 | 3893.9 |
262 | 2025-03-31 22:45:26 | workhorse | 3 | 148641 | 25 | 39.673 | 3746.7 |
261 | 2025-03-29 02:19:52 | workhorse | 3 | 148641 | 25 | 37.596 | 3953.6 |
260 | 2025-03-28 23:12:06 | workhorse | 2 | 121436 | 8 | 18.703 | 6492.9 |
259 | 2025-03-28 16:26:59 | workhorse | 1 | 81242 | 3 | 1.373 | 59171.2 |
258 | 2025-03-27 10:45:33 | workhorse | 3 | 148641 | 25 | 34.316 | 4331.5 |
257 | 2025-03-27 09:40:37 | workhorse | 1 | 81242 | 3 | 5.906 | 13755.8 |
256 | 2025-03-23 17:42:31 | workhorse | 2 | 121436 | 8 | 18.220 | 6665.0 |
255 | 2025-03-22 23:11:52 | workhorse | 3 | 148641 | 25 | 48.203 | 3083.6 |
254 | 2025-03-22 07:38:12 | workhorse | 1 | 81242 | 3 | 3.313 | 24522.2 |
253 | 2025-02-28 07:10:00 | workhorse | 3 | 148641 | 25 | 52.626 | 2824.5 |
252 | 2025-02-28 07:10:01 | workhorse | 3 | 148641 | 25 | 28.330 | 5246.8 |
251 | 2025-02-20 09:21:01 | workhorse | 4 | 165329 | 169 | 81.056 | 2039.7 |
250 | 2025-02-20 09:21:12 | workhorse | 2 | 121436 | 8 | 18.340 | 6621.4 |
249 | 2025-02-20 09:20:17 | workhorse | 3 | 148641 | 25 | 51.030 | 2912.8 |
248 | 2025-02-19 18:09:06 | workhorse | 1 | 81242 | 3 | 6.266 | 12965.5 |
247 | 2025-02-17 19:08:01 | workhorse | 4 | 165329 | 169 | 66.850 | 2473.1 |
246 | 2025-02-16 07:57:07 | workhorse | 4 | 165329 | 169 | 48.600 | 3401.8 |
245 | 2025-02-16 07:56:57 | workhorse | 1 | 81242 | 3 | 2.420 | 33571.1 |
244 | 2025-02-12 18:15:30 | workhorse | 2 | 121436 | 8 | 27.456 | 4422.9 |
243 | 2025-02-12 18:15:32 | workhorse | 3 | 148641 | 25 | 24.186 | 6145.7 |
242 | 2025-02-10 19:34:42 | workhorse | 3 | 148641 | 25 | 36.410 | 4082.4 |
241 | 2025-02-10 19:34:38 | workhorse | 2 | 121436 | 8 | 17.990 | 6750.2 |
240 | 2025-02-08 16:40:50 | workhorse | 3 | 148641 | 25 | 35.703 | 4163.3 |
239 | 2025-02-08 16:40:43 | workhorse | 3 | 148641 | 25 | 26.280 | 5656.1 |
238 | 2025-02-08 16:40:40 | workhorse | 2 | 121436 | 8 | 17.640 | 6884.1 |
237 | 2025-02-08 16:39:15 | workhorse | 1 | 81242 | 3 | 6.203 | 13097.2 |
236 | 2025-01-18 01:41:44 | workhorse | 1 | 81242 | 3 | 6.296 | 12903.7 |
235 | 2025-01-10 09:32:17 | workhorse | 1 | 81242 | 3 | 6.106 | 13305.3 |
234 | 2025-01-07 21:34:47 | workhorse | 3 | 148641 | 25 | 45.503 | 3266.6 |
233 | 2025-01-07 20:29:52 | workhorse | 1 | 81242 | 3 | 7.376 | 11014.4 |
232 | 2025-01-06 01:53:17 | workhorse | 3 | 148641 | 25 | 42.470 | 3499.9 |
231 | 2024-12-31 14:06:36 | workhorse | 2 | 121436 | 8 | 20.646 | 5881.8 |
230 | 2024-12-31 14:05:48 | workhorse | 3 | 148641 | 25 | 42.876 | 3466.8 |
229 | 2024-12-31 14:04:44 | workhorse | 1 | 81242 | 3 | 2.670 | 30427.7 |
228 | 2024-12-08 21:59:49 | workhorse | 1 | 81242 | 3 | 6.033 | 13466.3 |
227 | 2024-12-07 11:44:50 | workhorse | 1 | 81242 | 3 | 1.376 | 59042.2 |
226 | 2024-12-06 17:43:11 | workhorse | 3 | 148641 | 25 | 38.080 | 3903.4 |
225 | 2024-12-06 04:38:59 | workhorse | 3 | 148641 | 25 | 51.863 | 2866.0 |
224 | 2024-12-05 02:57:00 | workhorse | 3 | 148641 | 25 | 44.046 | 3374.7 |
223 | 2024-11-25 16:27:37 | workhorse | 3 | 148641 | 25 | 36.596 | 4061.7 |
222 | 2024-11-04 01:35:16 | workhorse | 1 | 81242 | 3 | 2.750 | 29542.5 |
221 | 2024-11-02 14:20:56 | workhorse | 3 | 148641 | 25 | 46.236 | 3214.8 |
220 | 2024-11-01 14:05:44 | workhorse | 3 | 148641 | 25 | 36.986 | 4018.8 |
219 | 2024-10-31 09:07:50 | workhorse | 3 | 148641 | 25 | 39.236 | 3788.4 |
218 | 2024-10-31 03:02:14 | workhorse | 1 | 81242 | 3 | 6.093 | 13333.7 |
217 | 2024-10-30 17:51:04 | workhorse | 3 | 148641 | 25 | 33.010 | 4502.9 |
216 | 2024-10-24 18:10:47 | workhorse | 1 | 81242 | 3 | 6.733 | 12066.2 |
215 | 2024-09-22 04:19:35 | workhorse | 2 | 121436 | 8 | 27.346 | 4440.7 |
214 | 2024-09-21 08:17:13 | workhorse | 3 | 148641 | 25 | 63.676 | 2334.3 |
213 | 2024-09-21 08:17:12 | workhorse | 3 | 148641 | 25 | 56.266 | 2641.8 |
212 | 2024-09-21 08:17:07 | workhorse | 2 | 121436 | 8 | 32.656 | 3718.6 |
211 | 2024-09-21 08:15:01 | workhorse | 1 | 81242 | 3 | 13.080 | 6211.2 |
210 | 2024-09-15 01:35:43 | workhorse | 1 | 81242 | 3 | 9.236 | 8796.2 |
209 | 2024-09-01 22:47:39 | workhorse | 1 | 81242 | 3 | 14.140 | 5745.5 |
208 | 2024-08-15 12:10:56 | workhorse | 4 | 165329 | 169 | 115.540 | 1430.9 |
207 | 2024-08-15 12:11:14 | workhorse | 3 | 148641 | 25 | 48.573 | 3060.2 |
206 | 2024-08-14 05:27:42 | workhorse | 4 | 165329 | 169 | 107.023 | 1544.8 |
205 | 2024-08-08 00:16:57 | workhorse | 2 | 121436 | 8 | 12.923 | 9396.9 |
204 | 2024-08-07 12:22:16 | workhorse | 3 | 148641 | 25 | 24.190 | 6144.7 |
203 | 2024-08-05 11:49:29 | workhorse | 3 | 148641 | 25 | 33.893 | 4385.6 |
202 | 2024-08-05 11:48:53 | workhorse | 2 | 121436 | 8 | 17.906 | 6781.9 |
201 | 2024-08-04 22:42:41 | workhorse | 3 | 148641 | 25 | 35.930 | 4137.0 |
200 | 2024-08-04 22:42:32 | workhorse | 2 | 121436 | 8 | 9.656 | 12576.2 |
199 | 2024-08-02 12:08:13 | workhorse | 4 | 165329 | 169 | 58.180 | 2841.7 |
198 | 2024-08-02 06:36:26 | workhorse | 4 | 165329 | 169 | 66.393 | 2490.2 |
197 | 2024-08-02 05:02:03 | workhorse | 1 | 81242 | 3 | 7.156 | 11353.0 |
196 | 2024-08-02 04:55:46 | workhorse | 3 | 148641 | 25 | 29.000 | 5125.6 |
195 | 2024-08-02 04:55:31 | workhorse | 3 | 148641 | 25 | 24.453 | 6078.6 |
194 | 2024-08-01 11:33:07 | workhorse | 4 | 165329 | 169 | 53.630 | 3082.8 |
193 | 2024-08-01 11:33:11 | workhorse | 3 | 148641 | 25 | 30.486 | 4875.7 |
192 | 2024-08-01 11:33:12 | workhorse | 2 | 121436 | 8 | 18.970 | 6401.5 |
191 | 2024-08-01 11:30:11 | workhorse | 1 | 81242 | 3 | 2.140 | 37963.6 |
190 | 2024-08-01 00:46:00 | workhorse | 1 | 81242 | 3 | 7.186 | 11305.6 |
189 | 2024-07-27 01:27:19 | workhorse | 1 | 81242 | 3 | 2.436 | 33350.6 |
188 | 2024-07-23 19:58:37 | workhorse | 1 | 81242 | 3 | 8.093 | 10038.6 |
187 | 2024-07-17 08:53:01 | workhorse | 2 | 121436 | 8 | 14.953 | 8121.2 |
186 | 2024-07-07 16:22:40 | workhorse | 2 | 121436 | 8 | 13.246 | 9167.7 |
185 | 2024-07-07 16:20:21 | workhorse | 1 | 81242 | 3 | 3.036 | 26759.6 |
184 | 2024-07-07 15:45:32 | workhorse | 1 | 81242 | 3 | 7.080 | 11474.9 |
183 | 2024-07-01 08:18:24 | workhorse | 1 | 81242 | 3 | 6.796 | 11954.4 |