History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"smoothness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
315 | 2025-09-29 09:00:19 | smoothness | 4 | 161450 | 208 | 10.796 | 14954.6 |
314 | 2025-09-26 14:14:12 | smoothness | 4 | 161450 | 208 | 10.440 | 15464.6 |
313 | 2025-09-25 04:05:39 | smoothness | 4 | 161450 | 208 | 12.376 | 13045.4 |
312 | 2025-09-18 16:36:06 | smoothness | 3 | 140603 | 39 | 6.093 | 23076.2 |
311 | 2025-09-14 18:47:43 | smoothness | 1 | 67641 | 1 | 1.143 | 59178.5 |
310 | 2025-09-13 20:55:53 | smoothness | 1 | 67641 | 1 | 1.173 | 57665.0 |
309 | 2025-09-09 15:12:21 | smoothness | 1 | 67641 | 1 | 2.360 | 28661.4 |
308 | 2025-09-03 11:47:39 | smoothness | 4 | 161450 | 208 | 9.893 | 16319.6 |
307 | 2025-08-22 14:22:31 | smoothness | 1 | 67641 | 1 | 1.110 | 60937.8 |
306 | 2025-08-17 06:28:05 | smoothness | 1 | 67641 | 1 | 3.860 | 17523.6 |
305 | 2025-08-17 00:38:02 | smoothness | 3 | 140603 | 39 | 14.580 | 9643.6 |
304 | 2025-08-11 15:03:49 | smoothness | 3 | 140603 | 39 | 28.533 | 4927.7 |
303 | 2025-08-01 08:26:38 | smoothness | 3 | 140603 | 39 | 19.173 | 7333.4 |
302 | 2025-07-29 19:37:28 | smoothness | 3 | 140603 | 39 | 26.843 | 5238.0 |
301 | 2025-07-29 14:25:12 | smoothness | 3 | 140603 | 39 | 18.800 | 7478.9 |
300 | 2025-07-27 13:08:20 | smoothness | 3 | 140603 | 39 | 13.310 | 10563.7 |
299 | 2025-07-26 21:23:26 | smoothness | 1 | 67641 | 1 | 2.876 | 23519.1 |
298 | 2025-07-26 21:23:26 | smoothness | 1 | 67641 | 1 | 3.280 | 20622.3 |
297 | 2025-07-25 22:22:30 | smoothness | 2 | 108824 | 10 | 3.940 | 27620.3 |
296 | 2025-07-25 21:33:31 | smoothness | 2 | 108824 | 10 | 8.126 | 13392.1 |
295 | 2025-07-25 20:03:50 | smoothness | 3 | 140603 | 39 | 5.643 | 24916.4 |
294 | 2025-07-24 16:12:41 | smoothness | 1 | 67641 | 1 | 2.656 | 25467.2 |
293 | 2025-07-24 14:13:33 | smoothness | 3 | 140603 | 39 | 43.593 | 3225.4 |
292 | 2025-07-23 14:49:25 | smoothness | 2 | 108824 | 10 | 21.783 | 4995.8 |
291 | 2025-07-23 07:11:00 | smoothness | 1 | 67641 | 1 | 4.236 | 15968.1 |
290 | 2025-07-21 22:54:34 | smoothness | 4 | 161450 | 208 | 11.373 | 14195.9 |
289 | 2025-07-21 18:10:33 | smoothness | 4 | 161450 | 208 | 24.360 | 6627.7 |
288 | 2025-07-20 21:47:24 | smoothness | 4 | 161450 | 208 | 11.296 | 14292.7 |
287 | 2025-07-20 14:24:19 | smoothness | 3 | 140603 | 39 | 6.546 | 21479.2 |
286 | 2025-07-18 18:46:56 | smoothness | 3 | 140603 | 39 | 30.516 | 4607.5 |
285 | 2025-07-18 16:05:55 | smoothness | 1 | 67641 | 1 | 8.280 | 8169.2 |
284 | 2025-07-18 05:07:04 | smoothness | 4 | 161450 | 208 | 45.713 | 3531.8 |
283 | 2025-07-17 23:32:28 | smoothness | 3 | 140603 | 39 | 24.750 | 5680.9 |
282 | 2025-07-17 16:02:20 | smoothness | 1 | 67641 | 1 | 2.626 | 25758.2 |
281 | 2025-07-16 03:48:09 | smoothness | 4 | 161450 | 208 | 10.453 | 15445.3 |
280 | 2025-07-14 19:02:32 | smoothness | 4 | 161450 | 208 | 46.723 | 3455.5 |
279 | 2025-07-09 05:56:52 | smoothness | 4 | 161450 | 208 | 49.643 | 3252.2 |
278 | 2025-07-05 10:15:53 | smoothness | 4 | 161450 | 208 | 53.473 | 3019.3 |
277 | 2025-07-01 13:14:13 | smoothness | 4 | 161450 | 208 | 10.410 | 15509.1 |
276 | 2025-06-28 11:16:13 | smoothness | 3 | 140603 | 39 | 26.516 | 5302.6 |
275 | 2025-06-27 06:03:51 | smoothness | 3 | 140603 | 39 | 30.613 | 4592.9 |
274 | 2025-06-26 14:31:12 | smoothness | 1 | 67641 | 1 | 5.076 | 13325.7 |
273 | 2025-06-24 12:02:02 | smoothness | 3 | 140603 | 39 | 31.970 | 4398.0 |
272 | 2025-06-19 02:59:41 | smoothness | 3 | 140603 | 39 | 6.393 | 21993.3 |
271 | 2025-06-17 02:20:48 | smoothness | 3 | 140603 | 39 | 48.426 | 2903.5 |
270 | 2025-06-16 11:33:05 | smoothness | 1 | 67641 | 1 | 5.783 | 11696.5 |
269 | 2025-06-15 04:55:23 | smoothness | 2 | 108824 | 10 | 3.140 | 34657.3 |
268 | 2025-06-15 04:11:19 | smoothness | 3 | 140603 | 39 | 30.643 | 4588.4 |
267 | 2025-06-14 11:13:12 | smoothness | 1 | 67641 | 1 | 8.296 | 8153.4 |
266 | 2025-06-14 09:22:22 | smoothness | 1 | 67641 | 1 | 2.266 | 29850.4 |
265 | 2025-06-14 05:38:04 | smoothness | 2 | 108824 | 10 | 15.063 | 7224.6 |
264 | 2025-06-13 11:30:17 | smoothness | 4 | 161450 | 208 | 10.203 | 15823.8 |
263 | 2025-06-13 00:13:44 | smoothness | 4 | 161450 | 208 | 14.020 | 11515.7 |
262 | 2025-06-12 02:52:15 | smoothness | 4 | 161450 | 208 | 71.066 | 2271.8 |
261 | 2025-06-10 19:30:55 | smoothness | 4 | 161450 | 208 | 55.673 | 2900.0 |
260 | 2025-06-09 23:49:45 | smoothness | 2 | 108824 | 10 | 13.563 | 8023.6 |
259 | 2025-05-31 01:51:23 | smoothness | 1 | 67641 | 1 | 2.936 | 23038.5 |
258 | 2025-05-27 17:08:00 | smoothness | 4 | 161450 | 208 | 31.093 | 5192.5 |
257 | 2025-05-18 17:36:42 | smoothness | 3 | 140603 | 39 | 20.860 | 6740.3 |
256 | 2025-05-15 03:49:26 | smoothness | 1 | 67641 | 1 | 1.030 | 65670.9 |
255 | 2025-05-14 06:13:53 | smoothness | 3 | 140603 | 39 | 26.500 | 5305.8 |
254 | 2025-05-10 14:45:02 | smoothness | 1 | 67641 | 1 | 7.436 | 9096.4 |
253 | 2025-05-06 15:20:51 | smoothness | 2 | 108824 | 10 | 20.796 | 5232.9 |
252 | 2025-05-06 11:13:37 | smoothness | 1 | 67641 | 1 | 4.890 | 13832.5 |
251 | 2025-05-06 09:10:57 | smoothness | 1 | 67641 | 1 | 5.220 | 12958.0 |
250 | 2025-05-06 05:22:53 | smoothness | 3 | 140603 | 39 | 31.800 | 4421.5 |
249 | 2025-05-05 14:10:43 | smoothness | 1 | 67641 | 1 | 1.110 | 60937.8 |
248 | 2025-05-04 12:13:20 | smoothness | 1 | 67641 | 1 | 5.343 | 12659.7 |
247 | 2025-04-12 15:34:56 | smoothness | 3 | 140603 | 39 | 30.473 | 4614.0 |
246 | 2025-04-07 13:13:12 | smoothness | 2 | 108824 | 10 | 15.513 | 7015.0 |
245 | 2025-04-07 12:30:59 | smoothness | 3 | 140603 | 39 | 20.050 | 7012.6 |
244 | 2025-04-06 10:32:18 | smoothness | 1 | 67641 | 1 | 5.690 | 11887.7 |
243 | 2025-04-03 22:35:39 | smoothness | 1 | 67641 | 1 | 8.613 | 7853.4 |
242 | 2025-04-03 08:50:01 | smoothness | 1 | 67641 | 1 | 3.016 | 22427.4 |
241 | 2025-03-24 16:01:50 | smoothness | 1 | 67641 | 1 | 1.156 | 58513.0 |
240 | 2025-03-14 07:59:34 | smoothness | 3 | 140603 | 39 | 27.500 | 5112.8 |
239 | 2025-03-12 22:15:39 | smoothness | 4 | 161450 | 208 | 47.456 | 3402.1 |
238 | 2025-03-11 06:17:06 | smoothness | 1 | 67641 | 1 | 4.530 | 14931.8 |
237 | 2025-03-08 17:04:52 | smoothness | 4 | 161450 | 208 | 50.830 | 3176.3 |
236 | 2025-03-08 17:04:42 | smoothness | 2 | 108824 | 10 | 19.690 | 5526.9 |
235 | 2025-03-06 20:24:27 | smoothness | 2 | 108824 | 10 | 15.470 | 7034.5 |
234 | 2025-03-06 19:34:48 | smoothness | 4 | 161450 | 208 | 48.343 | 3339.7 |
233 | 2025-03-06 10:55:44 | smoothness | 4 | 161450 | 208 | 29.190 | 5531.0 |
232 | 2025-03-06 01:10:43 | smoothness | 2 | 108824 | 10 | 21.110 | 5155.1 |
231 | 2025-03-06 01:10:44 | smoothness | 3 | 140603 | 39 | 17.156 | 8195.6 |
230 | 2025-03-06 01:07:03 | smoothness | 1 | 67641 | 1 | 5.763 | 11737.1 |
229 | 2025-02-24 17:23:15 | smoothness | 1 | 67641 | 1 | 1.220 | 55443.4 |
228 | 2025-02-24 12:03:19 | smoothness | 3 | 140603 | 39 | 21.033 | 6684.9 |
227 | 2025-02-22 16:33:34 | smoothness | 3 | 140603 | 39 | 33.616 | 4182.6 |
226 | 2025-02-21 07:17:30 | smoothness | 3 | 140603 | 39 | 44.393 | 3167.2 |
225 | 2025-02-16 23:03:12 | smoothness | 3 | 140603 | 39 | 31.740 | 4429.8 |
224 | 2025-01-25 16:13:40 | smoothness | 1 | 67641 | 1 | 1.173 | 57665.0 |
223 | 2025-01-24 15:45:34 | smoothness | 4 | 161450 | 208 | 46.533 | 3469.6 |
222 | 2025-01-22 22:54:00 | smoothness | 4 | 161450 | 208 | 62.643 | 2577.3 |
221 | 2025-01-22 15:52:08 | smoothness | 4 | 161450 | 208 | 62.596 | 2579.2 |
220 | 2025-01-22 15:52:18 | smoothness | 2 | 108824 | 10 | 19.423 | 5602.8 |
219 | 2025-01-22 15:50:59 | smoothness | 1 | 67641 | 1 | 3.970 | 17038.0 |
218 | 2025-01-22 08:15:52 | smoothness | 3 | 140603 | 39 | 28.160 | 4993.0 |
217 | 2025-01-21 13:50:46 | smoothness | 3 | 140603 | 39 | 30.970 | 4540.0 |
216 | 2025-01-20 17:15:56 | smoothness | 3 | 140603 | 39 | 39.910 | 3523.0 |