History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prepackaged"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
346 | 2025-07-09 03:59:28 | prepackaged | 3 | 121633 | 14 | 9.406 | 12931.4 |
345 | 2025-07-06 14:41:10 | prepackaged | 1 | 49908 | 4 | 0.860 | 58032.6 |
344 | 2025-07-04 13:17:41 | prepackaged | 3 | 121633 | 14 | 34.673 | 3508.0 |
343 | 2025-07-04 07:17:57 | prepackaged | 2 | 86808 | 8 | 12.923 | 6717.3 |
342 | 2025-06-26 16:27:13 | prepackaged | 3 | 121633 | 14 | 30.656 | 3967.7 |
341 | 2025-06-26 02:43:45 | prepackaged | 2 | 86808 | 8 | 14.236 | 6097.8 |
340 | 2025-06-25 14:00:40 | prepackaged | 3 | 121633 | 14 | 4.813 | 25271.8 |
339 | 2025-06-24 04:45:23 | prepackaged | 1 | 49908 | 4 | 4.410 | 11317.0 |
338 | 2025-06-22 04:48:15 | prepackaged | 4 | 148819 | 62 | 71.956 | 2068.2 |
337 | 2025-06-22 02:23:19 | prepackaged | 4 | 148819 | 62 | 27.643 | 5383.6 |
336 | 2025-06-20 16:57:53 | prepackaged | 4 | 148819 | 62 | 39.176 | 3798.7 |
335 | 2025-06-16 19:38:38 | prepackaged | 4 | 148819 | 62 | 47.970 | 3102.3 |
334 | 2025-06-16 19:09:10 | prepackaged | 4 | 148819 | 62 | 50.330 | 2956.9 |
333 | 2025-06-16 16:08:23 | prepackaged | 3 | 121633 | 14 | 26.143 | 4652.6 |
332 | 2025-06-16 05:56:05 | prepackaged | 3 | 121633 | 14 | 36.440 | 3337.9 |
331 | 2025-06-15 23:25:51 | prepackaged | 3 | 121633 | 14 | 29.580 | 4112.0 |
330 | 2025-06-15 04:43:24 | prepackaged | 1 | 49908 | 4 | 1.330 | 37524.8 |
329 | 2025-06-14 11:21:18 | prepackaged | 4 | 148819 | 62 | 56.020 | 2656.5 |
328 | 2025-06-14 09:56:34 | prepackaged | 3 | 121633 | 14 | 41.533 | 2928.6 |
327 | 2025-06-14 05:46:09 | prepackaged | 5 | 164607 | 325 | 91.500 | 1799.0 |
326 | 2025-06-13 00:17:40 | prepackaged | 1 | 49908 | 4 | 0.876 | 56972.6 |
325 | 2025-05-29 00:00:07 | prepackaged | 1 | 49908 | 4 | 2.203 | 22654.6 |
324 | 2025-05-25 12:18:27 | prepackaged | 4 | 148819 | 62 | 11.310 | 13158.2 |
323 | 2025-05-23 23:47:12 | prepackaged | 1 | 49908 | 4 | 2.016 | 24756.0 |
322 | 2025-05-19 22:18:28 | prepackaged | 1 | 49908 | 4 | 2.313 | 21577.2 |
321 | 2025-05-11 23:51:14 | prepackaged | 4 | 148819 | 62 | 49.046 | 3034.3 |
320 | 2025-05-09 00:28:47 | prepackaged | 1 | 49908 | 4 | 0.860 | 58032.6 |
319 | 2025-05-08 05:41:44 | prepackaged | 2 | 86808 | 8 | 13.440 | 6458.9 |
318 | 2025-05-06 11:26:42 | prepackaged | 4 | 148819 | 62 | 36.456 | 4082.2 |
317 | 2025-05-02 19:53:12 | prepackaged | 2 | 86808 | 8 | 2.376 | 36535.4 |
316 | 2025-05-02 05:46:44 | prepackaged | 1 | 49908 | 4 | 5.296 | 9423.7 |
315 | 2025-04-30 22:38:55 | prepackaged | 4 | 148819 | 62 | 63.816 | 2332.0 |
314 | 2025-04-30 19:35:45 | prepackaged | 3 | 121633 | 14 | 6.390 | 19034.9 |
313 | 2025-04-30 15:43:28 | prepackaged | 3 | 121633 | 14 | 31.330 | 3882.3 |
312 | 2025-04-30 02:16:05 | prepackaged | 2 | 86808 | 8 | 6.656 | 13042.1 |
311 | 2025-04-29 03:31:10 | prepackaged | 1 | 49908 | 4 | 0.876 | 56972.6 |
310 | 2025-04-16 08:47:54 | prepackaged | 3 | 121633 | 14 | 25.266 | 4814.1 |
309 | 2025-04-15 13:43:32 | prepackaged | 3 | 121633 | 14 | 28.083 | 4331.2 |
308 | 2025-04-15 02:24:50 | prepackaged | 4 | 148819 | 62 | 35.156 | 4233.1 |
307 | 2025-04-13 14:58:00 | prepackaged | 3 | 121633 | 14 | 5.483 | 22183.7 |
306 | 2025-03-24 03:28:14 | prepackaged | 4 | 148819 | 62 | 49.766 | 2990.4 |
305 | 2025-03-23 22:46:07 | prepackaged | 2 | 86808 | 8 | 7.216 | 12029.9 |
304 | 2025-03-23 04:53:36 | prepackaged | 1 | 49908 | 4 | 2.376 | 21005.1 |
303 | 2025-03-13 14:51:33 | prepackaged | 4 | 148819 | 62 | 42.003 | 3543.1 |
302 | 2025-03-13 14:51:24 | prepackaged | 2 | 86808 | 8 | 6.876 | 12624.8 |
301 | 2025-03-13 14:45:17 | prepackaged | 1 | 49908 | 4 | 4.546 | 10978.4 |
300 | 2025-03-07 17:59:27 | prepackaged | 3 | 121633 | 14 | 24.030 | 5061.7 |
299 | 2025-03-05 04:31:27 | prepackaged | 2 | 86808 | 8 | 12.173 | 7131.2 |
298 | 2025-03-05 04:28:30 | prepackaged | 1 | 49908 | 4 | 1.800 | 27726.7 |
297 | 2025-03-05 00:56:20 | prepackaged | 3 | 121633 | 14 | 27.736 | 4385.4 |
296 | 2025-03-05 00:56:11 | prepackaged | 2 | 86808 | 8 | 12.063 | 7196.2 |
295 | 2025-03-05 00:52:48 | prepackaged | 1 | 49908 | 4 | 2.486 | 20075.6 |
294 | 2025-03-05 00:29:24 | prepackaged | 4 | 148819 | 62 | 62.143 | 2394.8 |
293 | 2025-03-03 08:05:15 | prepackaged | 4 | 148819 | 62 | 41.346 | 3599.4 |
292 | 2025-03-03 00:00:11 | prepackaged | 1 | 49908 | 4 | 2.016 | 24756.0 |
291 | 2025-03-01 22:53:52 | prepackaged | 3 | 121633 | 14 | 27.220 | 4468.5 |
290 | 2025-03-01 07:14:52 | prepackaged | 1 | 49908 | 4 | 4.483 | 11132.7 |
289 | 2025-02-21 07:43:57 | prepackaged | 4 | 148819 | 62 | 51.006 | 2917.7 |
288 | 2025-02-18 16:43:23 | prepackaged | 3 | 121633 | 14 | 13.486 | 9019.2 |
287 | 2025-02-08 23:33:55 | prepackaged | 3 | 121633 | 14 | 29.563 | 4114.4 |
286 | 2025-02-08 23:33:51 | prepackaged | 2 | 86808 | 8 | 12.310 | 7051.8 |
285 | 2025-02-08 23:32:51 | prepackaged | 1 | 49908 | 4 | 2.970 | 16804.0 |
284 | 2025-02-05 06:54:36 | prepackaged | 3 | 121633 | 14 | 34.236 | 3552.8 |
283 | 2025-02-05 06:54:56 | prepackaged | 2 | 86808 | 8 | 13.580 | 6392.3 |
282 | 2025-02-02 01:50:03 | prepackaged | 2 | 86808 | 8 | 11.656 | 7447.5 |
281 | 2025-02-02 01:49:21 | prepackaged | 4 | 148819 | 62 | 53.473 | 2783.1 |
280 | 2025-02-02 01:48:06 | prepackaged | 1 | 49908 | 4 | 5.220 | 9560.9 |
279 | 2025-02-02 01:46:40 | prepackaged | 4 | 148819 | 62 | 49.676 | 2995.8 |
278 | 2025-01-31 22:10:14 | prepackaged | 4 | 148819 | 62 | 50.063 | 2972.6 |
277 | 2025-01-31 22:10:12 | prepackaged | 2 | 86808 | 8 | 15.110 | 5745.1 |
276 | 2025-01-31 22:07:39 | prepackaged | 1 | 49908 | 4 | 3.766 | 13252.3 |
275 | 2025-01-24 03:57:35 | prepackaged | 3 | 121633 | 14 | 20.566 | 5914.3 |
274 | 2025-01-22 06:27:27 | prepackaged | 3 | 121633 | 14 | 24.456 | 4973.5 |
273 | 2025-01-22 06:27:29 | prepackaged | 3 | 121633 | 14 | 18.406 | 6608.3 |
272 | 2025-01-22 06:25:47 | prepackaged | 1 | 49908 | 4 | 4.406 | 11327.3 |
271 | 2025-01-11 16:00:11 | prepackaged | 3 | 121633 | 14 | 29.140 | 4174.1 |
270 | 2025-01-07 12:21:38 | prepackaged | 3 | 121633 | 14 | 24.093 | 5048.5 |
269 | 2025-01-07 08:02:46 | prepackaged | 2 | 86808 | 8 | 13.970 | 6213.9 |
268 | 2025-01-07 08:01:27 | prepackaged | 3 | 121633 | 14 | 27.470 | 4427.8 |
267 | 2025-01-07 08:01:19 | prepackaged | 3 | 121633 | 14 | 27.280 | 4458.7 |
266 | 2025-01-07 07:59:36 | prepackaged | 1 | 49908 | 4 | 1.843 | 27079.8 |
265 | 2024-12-31 12:01:59 | prepackaged | 1 | 49908 | 4 | 1.796 | 27788.4 |
264 | 2024-12-21 21:52:36 | prepackaged | 2 | 86808 | 8 | 13.173 | 6589.8 |
263 | 2024-12-20 18:56:54 | prepackaged | 3 | 121633 | 14 | 30.376 | 4004.2 |
262 | 2024-12-16 20:41:17 | prepackaged | 1 | 49908 | 4 | 3.656 | 13651.0 |
261 | 2024-12-01 23:50:02 | prepackaged | 3 | 121633 | 14 | 29.673 | 4099.1 |
260 | 2024-12-01 19:38:37 | prepackaged | 3 | 121633 | 14 | 33.626 | 3617.2 |
259 | 2024-12-01 19:38:35 | prepackaged | 2 | 86808 | 8 | 17.546 | 4947.5 |
258 | 2024-12-01 05:34:22 | prepackaged | 3 | 121633 | 14 | 42.736 | 2846.1 |
257 | 2024-12-01 05:34:26 | prepackaged | 3 | 121633 | 14 | 26.720 | 4552.1 |
256 | 2024-12-01 05:34:21 | prepackaged | 3 | 121633 | 14 | 27.843 | 4368.5 |
255 | 2024-12-01 05:34:24 | prepackaged | 2 | 86808 | 8 | 10.623 | 8171.7 |
254 | 2024-11-28 20:36:45 | prepackaged | 1 | 49908 | 4 | 4.373 | 11412.8 |
253 | 2024-11-28 12:59:26 | prepackaged | 1 | 49908 | 4 | 3.796 | 13147.5 |
252 | 2024-11-20 03:03:03 | prepackaged | 1 | 49908 | 4 | 4.346 | 11483.7 |
251 | 2024-11-09 12:46:47 | prepackaged | 1 | 49908 | 4 | 5.313 | 9393.6 |
250 | 2024-10-28 05:42:31 | prepackaged | 1 | 49908 | 4 | 1.860 | 26832.3 |
249 | 2024-10-08 21:21:25 | prepackaged | 3 | 121633 | 14 | 36.003 | 3378.4 |
248 | 2024-10-06 01:55:39 | prepackaged | 2 | 86808 | 8 | 18.690 | 4644.6 |
247 | 2024-10-06 01:55:32 | prepackaged | 2 | 86808 | 8 | 19.830 | 4377.6 |