History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"compactest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
284 | 2025-05-14 16:33:12 | compactest | 1 | 67641 | 1 | 5.813 | 11636.2 |
283 | 2025-05-10 06:45:39 | compactest | 1 | 67641 | 1 | 5.670 | 11929.6 |
282 | 2025-04-30 03:00:33 | compactest | 1 | 67641 | 1 | 4.983 | 13574.4 |
281 | 2025-04-29 21:42:24 | compactest | 3 | 140603 | 32 | 23.346 | 6022.6 |
280 | 2025-04-26 05:55:05 | compactest | 1 | 67641 | 1 | 3.940 | 17167.8 |
279 | 2025-04-26 02:18:37 | compactest | 3 | 140603 | 32 | 28.226 | 4981.3 |
278 | 2025-04-25 04:45:17 | compactest | 3 | 140603 | 32 | 27.960 | 5028.7 |
277 | 2025-04-21 14:21:42 | compactest | 3 | 140603 | 32 | 42.143 | 3336.3 |
276 | 2025-04-21 07:13:10 | compactest | 3 | 140603 | 32 | 39.970 | 3517.7 |
275 | 2025-04-20 04:26:54 | compactest | 1 | 67641 | 1 | 4.016 | 16842.9 |
274 | 2025-03-29 04:07:52 | compactest | 1 | 67641 | 1 | 3.190 | 21204.1 |
273 | 2025-03-25 07:16:37 | compactest | 1 | 67641 | 1 | 5.736 | 11792.4 |
272 | 2025-03-15 04:17:27 | compactest | 3 | 140603 | 32 | 27.673 | 5080.9 |
271 | 2025-03-10 03:36:22 | compactest | 1 | 67641 | 1 | 6.706 | 10086.6 |
270 | 2025-03-09 23:35:06 | compactest | 4 | 161450 | 150 | 56.190 | 2873.3 |
269 | 2025-03-09 19:26:52 | compactest | 4 | 161450 | 150 | 32.500 | 4967.7 |
268 | 2025-03-09 05:00:05 | compactest | 3 | 140603 | 32 | 26.683 | 5269.4 |
267 | 2025-03-09 05:00:03 | compactest | 2 | 108824 | 7 | 13.920 | 7817.8 |
266 | 2025-03-09 04:59:14 | compactest | 1 | 67641 | 1 | 2.860 | 23650.7 |
265 | 2025-03-08 11:38:44 | compactest | 3 | 140603 | 32 | 33.596 | 4185.1 |
264 | 2025-03-08 07:58:49 | compactest | 3 | 140603 | 32 | 41.156 | 3416.3 |
263 | 2025-03-08 07:58:50 | compactest | 3 | 140603 | 32 | 33.143 | 4242.3 |
262 | 2025-03-08 04:26:30 | compactest | 4 | 161450 | 150 | 86.783 | 1860.4 |
261 | 2025-03-08 04:26:30 | compactest | 3 | 140603 | 32 | 33.610 | 4183.4 |
260 | 2025-03-08 04:26:28 | compactest | 2 | 108824 | 7 | 15.313 | 7106.6 |
259 | 2025-03-08 04:24:49 | compactest | 1 | 67641 | 1 | 2.533 | 26703.9 |
258 | 2025-02-07 16:09:00 | compactest | 3 | 140603 | 32 | 27.206 | 5168.1 |
257 | 2025-02-04 19:58:17 | compactest | 1 | 67641 | 1 | 5.623 | 12029.3 |
256 | 2025-02-04 04:30:28 | compactest | 3 | 140603 | 32 | 39.743 | 3537.8 |
255 | 2025-02-04 02:51:32 | compactest | 1 | 67641 | 1 | 5.873 | 11517.3 |
254 | 2025-01-29 04:03:31 | compactest | 3 | 140603 | 32 | 32.330 | 4349.0 |
253 | 2025-01-29 03:54:56 | compactest | 1 | 67641 | 1 | 1.220 | 55443.4 |
252 | 2025-01-16 04:08:10 | compactest | 3 | 140603 | 32 | 39.486 | 3560.8 |
251 | 2025-01-16 04:08:11 | compactest | 2 | 108824 | 7 | 15.983 | 6808.7 |
250 | 2025-01-16 04:07:47 | compactest | 3 | 140603 | 32 | 29.440 | 4775.9 |
249 | 2025-01-16 04:02:14 | compactest | 1 | 67641 | 1 | 4.656 | 14527.7 |
248 | 2025-01-07 05:16:07 | compactest | 3 | 140603 | 32 | 32.190 | 4367.9 |
247 | 2025-01-02 03:35:30 | compactest | 3 | 140603 | 32 | 32.533 | 4321.9 |
246 | 2025-01-02 03:35:31 | compactest | 2 | 108824 | 7 | 13.906 | 7825.7 |
245 | 2025-01-02 03:35:12 | compactest | 1 | 67641 | 1 | 4.563 | 14823.8 |
244 | 2024-12-09 18:09:02 | compactest | 1 | 67641 | 1 | 4.576 | 14781.7 |
243 | 2024-12-07 11:18:42 | compactest | 1 | 67641 | 1 | 5.126 | 13195.7 |
242 | 2024-12-04 16:44:16 | compactest | 4 | 161450 | 150 | 68.453 | 2358.6 |
241 | 2024-12-04 10:38:01 | compactest | 4 | 161450 | 150 | 70.173 | 2300.7 |
240 | 2024-12-03 20:15:36 | compactest | 4 | 161450 | 150 | 58.173 | 2775.3 |
239 | 2024-12-03 14:40:00 | compactest | 4 | 161450 | 150 | 45.736 | 3530.0 |
238 | 2024-12-03 14:36:00 | compactest | 1 | 67641 | 1 | 3.153 | 21452.9 |
237 | 2024-11-30 12:12:53 | compactest | 3 | 140603 | 32 | 27.736 | 5069.3 |
236 | 2024-11-26 20:47:50 | compactest | 3 | 140603 | 32 | 29.343 | 4791.7 |
235 | 2024-11-26 20:46:41 | compactest | 2 | 108824 | 7 | 15.720 | 6922.6 |
234 | 2024-11-26 12:33:30 | compactest | 3 | 140603 | 32 | 32.706 | 4299.0 |
233 | 2024-11-23 19:33:26 | compactest | 3 | 140603 | 32 | 42.053 | 3343.5 |
232 | 2024-11-23 19:33:26 | compactest | 2 | 108824 | 7 | 16.296 | 6678.0 |
231 | 2024-11-23 19:30:18 | compactest | 1 | 67641 | 1 | 5.123 | 13203.4 |
230 | 2024-11-07 13:07:01 | compactest | 1 | 67641 | 1 | 6.000 | 11273.5 |
229 | 2024-11-04 03:05:04 | compactest | 1 | 67641 | 1 | 5.906 | 11452.9 |
228 | 2024-10-27 02:23:52 | compactest | 3 | 140603 | 32 | 49.316 | 2851.1 |
227 | 2024-10-27 02:23:42 | compactest | 2 | 108824 | 7 | 16.110 | 6755.1 |
226 | 2024-10-22 06:11:18 | compactest | 1 | 67641 | 1 | 2.563 | 26391.3 |
225 | 2024-10-21 08:12:14 | compactest | 2 | 108824 | 7 | 16.126 | 6748.4 |
224 | 2024-10-20 03:54:36 | compactest | 3 | 140603 | 32 | 40.693 | 3455.2 |
223 | 2024-10-20 03:54:45 | compactest | 3 | 140603 | 32 | 26.846 | 5237.4 |
222 | 2024-10-19 09:55:58 | compactest | 3 | 140603 | 32 | 33.360 | 4214.7 |
221 | 2024-10-19 09:55:01 | compactest | 3 | 140603 | 32 | 21.453 | 6554.0 |
220 | 2024-10-19 09:55:01 | compactest | 2 | 108824 | 7 | 11.690 | 9309.2 |
219 | 2024-10-18 13:13:52 | compactest | 3 | 140603 | 32 | 33.500 | 4197.1 |
218 | 2024-10-16 01:56:18 | compactest | 3 | 140603 | 32 | 42.876 | 3279.3 |
217 | 2024-10-16 01:56:12 | compactest | 4 | 161450 | 150 | 46.220 | 3493.1 |
216 | 2024-10-16 01:56:22 | compactest | 2 | 108824 | 7 | 23.563 | 4618.4 |
215 | 2024-10-16 01:51:00 | compactest | 1 | 67641 | 1 | 4.686 | 14434.7 |
214 | 2024-10-12 08:43:30 | compactest | 1 | 67641 | 1 | 3.000 | 22547.0 |
213 | 2024-09-16 12:45:48 | compactest | 1 | 67641 | 1 | 8.923 | 7580.5 |
212 | 2024-09-14 21:16:08 | compactest | 1 | 67641 | 1 | 9.393 | 7201.2 |
211 | 2024-09-02 22:33:51 | compactest | 1 | 67641 | 1 | 8.203 | 8245.9 |
210 | 2024-08-18 18:10:43 | compactest | 1 | 67641 | 1 | 11.440 | 5912.7 |
209 | 2024-08-15 06:45:14 | compactest | 1 | 67641 | 1 | 11.423 | 5921.5 |
208 | 2024-08-07 23:07:07 | compactest | 1 | 67641 | 1 | 3.813 | 17739.6 |
207 | 2024-08-03 01:17:15 | compactest | 3 | 140603 | 32 | 19.016 | 7393.9 |
206 | 2024-07-31 02:37:03 | compactest | 3 | 140603 | 32 | 33.706 | 4171.5 |
205 | 2024-07-27 16:48:21 | compactest | 2 | 108824 | 7 | 16.343 | 6658.8 |
204 | 2024-07-27 16:48:12 | compactest | 3 | 140603 | 32 | 17.270 | 8141.5 |
203 | 2024-07-27 16:47:49 | compactest | 3 | 140603 | 32 | 21.800 | 6449.7 |
202 | 2024-07-27 16:44:28 | compactest | 1 | 67641 | 1 | 3.983 | 16982.4 |
201 | 2024-07-08 13:24:01 | compactest | 3 | 140603 | 32 | 31.703 | 4435.0 |
200 | 2024-07-08 13:24:11 | compactest | 2 | 108824 | 7 | 12.360 | 8804.5 |
199 | 2024-07-08 13:17:09 | compactest | 3 | 140603 | 32 | 22.203 | 6332.6 |
198 | 2024-07-08 13:02:53 | compactest | 1 | 67641 | 1 | 1.280 | 52844.5 |
197 | 2024-07-06 17:57:45 | compactest | 3 | 140603 | 32 | 32.143 | 4374.3 |
196 | 2024-07-06 17:57:47 | compactest | 2 | 108824 | 7 | 17.910 | 6076.2 |
195 | 2024-07-06 17:56:35 | compactest | 4 | 161450 | 150 | 43.940 | 3674.3 |
194 | 2024-07-06 17:56:25 | compactest | 1 | 67641 | 1 | 3.530 | 19161.8 |
193 | 2024-07-03 14:24:59 | compactest | 2 | 108824 | 7 | 14.140 | 7696.2 |
192 | 2024-07-03 14:19:39 | compactest | 1 | 67641 | 1 | 4.733 | 14291.4 |
191 | 2024-07-01 20:49:19 | compactest | 3 | 140603 | 32 | 22.250 | 6319.2 |
190 | 2024-06-27 09:46:06 | compactest | 3 | 140603 | 32 | 31.110 | 4519.5 |
189 | 2024-06-27 09:46:08 | compactest | 3 | 140603 | 32 | 14.156 | 9932.4 |
188 | 2024-06-17 11:28:39 | compactest | 4 | 161450 | 150 | 50.133 | 3220.4 |
187 | 2024-06-16 11:24:15 | compactest | 3 | 140603 | 32 | 24.453 | 5749.9 |
186 | 2024-06-16 05:23:03 | compactest | 3 | 140603 | 32 | 32.970 | 4264.6 |
185 | 2024-06-16 00:08:45 | compactest | 3 | 140603 | 32 | 46.740 | 3008.2 |