History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsectors"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
322 | 2025-08-28 05:29:04 | subsectors | 4 | 161450 | 159 | 10.876 | 14844.6 |
321 | 2025-08-26 11:28:01 | subsectors | 1 | 67641 | 2 | 1.173 | 57665.0 |
320 | 2025-08-24 04:40:19 | subsectors | 1 | 67641 | 2 | 2.940 | 23007.1 |
319 | 2025-08-19 12:20:31 | subsectors | 1 | 67641 | 2 | 2.483 | 27241.6 |
318 | 2025-08-16 22:00:30 | subsectors | 1 | 67641 | 2 | 1.890 | 35788.9 |
317 | 2025-08-11 20:52:35 | subsectors | 4 | 161450 | 159 | 25.406 | 6354.8 |
316 | 2025-08-11 20:52:10 | subsectors | 4 | 161450 | 159 | 43.096 | 3746.3 |
315 | 2025-08-10 13:45:05 | subsectors | 4 | 161450 | 159 | 44.190 | 3653.5 |
314 | 2025-08-10 11:34:14 | subsectors | 4 | 161450 | 159 | 28.423 | 5680.3 |
313 | 2025-08-10 01:24:45 | subsectors | 3 | 140603 | 23 | 16.063 | 8753.2 |
312 | 2025-08-07 05:45:28 | subsectors | 4 | 161450 | 159 | 63.720 | 2533.7 |
311 | 2025-08-06 04:04:43 | subsectors | 1 | 67641 | 2 | 2.516 | 26884.3 |
310 | 2025-08-05 20:59:02 | subsectors | 1 | 67641 | 2 | 3.250 | 20812.6 |
309 | 2025-08-05 05:46:13 | subsectors | 4 | 161450 | 159 | 33.126 | 4873.8 |
308 | 2025-08-05 03:42:44 | subsectors | 2 | 108824 | 4 | 7.250 | 15010.2 |
307 | 2025-08-05 01:21:08 | subsectors | 3 | 140603 | 23 | 20.440 | 6878.8 |
306 | 2025-08-04 02:18:44 | subsectors | 1 | 67641 | 2 | 2.500 | 27056.4 |
305 | 2025-07-31 22:23:38 | subsectors | 1 | 67641 | 2 | 3.033 | 22301.7 |
304 | 2025-07-28 20:13:41 | subsectors | 1 | 67641 | 2 | 2.530 | 26735.6 |
303 | 2025-07-17 23:30:24 | subsectors | 3 | 140603 | 23 | 17.863 | 7871.2 |
302 | 2025-07-17 22:03:51 | subsectors | 1 | 67641 | 2 | 5.123 | 13203.4 |
301 | 2025-07-11 11:39:37 | subsectors | 3 | 140603 | 23 | 24.126 | 5827.9 |
300 | 2025-07-10 20:32:30 | subsectors | 3 | 140603 | 23 | 22.813 | 6163.3 |
299 | 2025-07-08 11:09:07 | subsectors | 3 | 140603 | 23 | 31.766 | 4426.2 |
298 | 2025-07-04 02:29:07 | subsectors | 1 | 67641 | 2 | 5.186 | 13043.0 |
297 | 2025-07-03 22:00:27 | subsectors | 1 | 67641 | 2 | 5.503 | 12291.7 |
296 | 2025-06-25 18:41:45 | subsectors | 3 | 140603 | 23 | 5.420 | 25941.5 |
295 | 2025-06-21 09:04:30 | subsectors | 1 | 67641 | 2 | 1.046 | 64666.3 |
294 | 2025-06-20 01:07:39 | subsectors | 3 | 140603 | 23 | 31.050 | 4528.3 |
293 | 2025-06-19 06:05:30 | subsectors | 3 | 140603 | 23 | 33.080 | 4250.4 |
292 | 2025-06-12 18:33:24 | subsectors | 3 | 140603 | 23 | 5.936 | 23686.5 |
291 | 2025-06-10 11:14:27 | subsectors | 1 | 67641 | 2 | 7.470 | 9055.0 |
290 | 2025-06-08 04:41:15 | subsectors | 1 | 67641 | 2 | 5.830 | 11602.2 |
289 | 2025-06-06 01:13:56 | subsectors | 3 | 140603 | 23 | 23.440 | 5998.4 |
288 | 2025-06-04 16:12:59 | subsectors | 3 | 140603 | 23 | 24.766 | 5677.3 |
287 | 2025-05-26 17:41:32 | subsectors | 4 | 161450 | 159 | 40.080 | 4028.2 |
286 | 2025-05-26 10:34:55 | subsectors | 4 | 161450 | 159 | 57.046 | 2830.2 |
285 | 2025-05-24 03:14:42 | subsectors | 4 | 161450 | 159 | 58.110 | 2778.4 |
284 | 2025-05-22 05:18:35 | subsectors | 3 | 140603 | 23 | 27.123 | 5183.9 |
283 | 2025-05-21 22:54:53 | subsectors | 1 | 67641 | 2 | 5.436 | 12443.2 |
282 | 2025-05-20 06:48:01 | subsectors | 3 | 140603 | 23 | 30.486 | 4612.1 |
281 | 2025-05-19 23:19:04 | subsectors | 4 | 161450 | 159 | 55.206 | 2924.5 |
280 | 2025-05-18 21:09:59 | subsectors | 1 | 67641 | 2 | 1.220 | 55443.4 |
279 | 2025-04-26 11:07:42 | subsectors | 1 | 67641 | 2 | 2.503 | 27024.0 |
278 | 2025-04-17 20:48:03 | subsectors | 1 | 67641 | 2 | 3.843 | 17601.1 |
277 | 2025-04-16 17:06:36 | subsectors | 1 | 67641 | 2 | 3.360 | 20131.3 |
276 | 2025-04-14 04:36:16 | subsectors | 1 | 67641 | 2 | 5.843 | 11576.4 |
275 | 2025-03-28 22:41:51 | subsectors | 1 | 67641 | 2 | 5.610 | 12057.2 |
274 | 2025-03-24 17:35:45 | subsectors | 3 | 140603 | 23 | 6.033 | 23305.7 |
273 | 2025-03-23 21:49:49 | subsectors | 3 | 140603 | 23 | 32.926 | 4270.3 |
272 | 2025-03-21 03:16:05 | subsectors | 1 | 67641 | 2 | 8.063 | 8389.1 |
271 | 2025-03-06 12:05:38 | subsectors | 3 | 140603 | 23 | 20.343 | 6911.6 |
270 | 2025-03-01 23:41:16 | subsectors | 1 | 67641 | 2 | 7.233 | 9351.7 |
269 | 2025-02-21 19:41:22 | subsectors | 3 | 140603 | 23 | 44.753 | 3141.8 |
268 | 2025-02-18 21:29:06 | subsectors | 3 | 140603 | 23 | 30.173 | 4659.9 |
267 | 2025-02-18 15:11:34 | subsectors | 3 | 140603 | 23 | 45.313 | 3102.9 |
266 | 2025-02-18 15:11:28 | subsectors | 3 | 140603 | 23 | 36.203 | 3883.7 |
265 | 2025-02-18 15:06:24 | subsectors | 1 | 67641 | 2 | 4.513 | 14988.0 |
264 | 2025-02-17 14:31:37 | subsectors | 3 | 140603 | 23 | 35.376 | 3974.5 |
263 | 2025-01-30 18:05:32 | subsectors | 2 | 108824 | 4 | 13.813 | 7878.4 |
262 | 2025-01-30 18:05:17 | subsectors | 1 | 67641 | 2 | 8.563 | 7899.2 |
261 | 2025-01-21 03:22:08 | subsectors | 2 | 108824 | 4 | 7.453 | 14601.4 |
260 | 2025-01-21 03:21:48 | subsectors | 1 | 67641 | 2 | 5.610 | 12057.2 |
259 | 2025-01-17 10:39:10 | subsectors | 3 | 140603 | 23 | 32.986 | 4262.5 |
258 | 2025-01-15 01:45:13 | subsectors | 3 | 140603 | 23 | 29.346 | 4791.2 |
257 | 2025-01-13 23:44:59 | subsectors | 3 | 140603 | 23 | 41.563 | 3382.9 |
256 | 2025-01-13 20:03:22 | subsectors | 3 | 140603 | 23 | 33.220 | 4232.5 |
255 | 2025-01-13 18:12:38 | subsectors | 3 | 140603 | 23 | 36.860 | 3814.5 |
254 | 2025-01-13 10:22:04 | subsectors | 4 | 161450 | 159 | 74.893 | 2155.7 |
253 | 2025-01-13 10:22:11 | subsectors | 3 | 140603 | 23 | 43.520 | 3230.8 |
252 | 2025-01-13 10:22:12 | subsectors | 2 | 108824 | 4 | 21.876 | 4974.6 |
251 | 2025-01-13 10:15:41 | subsectors | 1 | 67641 | 2 | 6.563 | 10306.4 |
250 | 2024-12-30 16:51:55 | subsectors | 3 | 140603 | 23 | 6.296 | 22332.1 |
249 | 2024-12-30 02:15:27 | subsectors | 2 | 108824 | 4 | 15.253 | 7134.6 |
248 | 2024-12-30 02:13:42 | subsectors | 1 | 67641 | 2 | 2.406 | 28113.5 |
247 | 2024-12-10 09:56:08 | subsectors | 1 | 67641 | 2 | 2.656 | 25467.2 |
246 | 2024-12-09 20:31:52 | subsectors | 1 | 67641 | 2 | 1.080 | 62630.6 |
245 | 2024-12-06 20:29:42 | subsectors | 3 | 140603 | 23 | 30.673 | 4583.9 |
244 | 2024-12-04 09:37:28 | subsectors | 3 | 140603 | 23 | 45.096 | 3117.9 |
243 | 2024-12-01 18:55:26 | subsectors | 3 | 140603 | 23 | 31.283 | 4494.5 |
242 | 2024-12-01 10:57:22 | subsectors | 4 | 161450 | 159 | 63.753 | 2532.4 |
241 | 2024-12-01 10:57:26 | subsectors | 3 | 140603 | 23 | 29.783 | 4720.9 |
240 | 2024-12-01 10:54:08 | subsectors | 1 | 67641 | 2 | 1.626 | 41599.6 |
239 | 2024-11-04 22:00:58 | subsectors | 3 | 140603 | 23 | 13.530 | 10391.9 |
238 | 2024-11-03 10:11:28 | subsectors | 2 | 108824 | 4 | 11.686 | 9312.3 |
237 | 2024-11-02 14:55:03 | subsectors | 2 | 108824 | 4 | 12.970 | 8390.4 |
236 | 2024-11-02 14:51:25 | subsectors | 1 | 67641 | 2 | 3.466 | 19515.6 |
235 | 2024-11-01 20:01:18 | subsectors | 3 | 140603 | 23 | 32.110 | 4378.8 |
234 | 2024-11-01 20:01:12 | subsectors | 2 | 108824 | 4 | 21.816 | 4988.3 |
233 | 2024-10-31 19:15:33 | subsectors | 1 | 67641 | 2 | 5.470 | 12365.8 |
232 | 2024-10-29 07:20:23 | subsectors | 3 | 140603 | 23 | 28.876 | 4869.2 |
231 | 2024-10-28 11:02:34 | subsectors | 4 | 161450 | 159 | 58.990 | 2736.9 |
230 | 2024-10-28 11:02:34 | subsectors | 3 | 140603 | 23 | 31.783 | 4423.8 |
229 | 2024-10-28 11:02:38 | subsectors | 2 | 108824 | 4 | 18.750 | 5803.9 |
228 | 2024-10-28 10:59:33 | subsectors | 1 | 67641 | 2 | 5.580 | 12122.0 |
227 | 2024-10-22 14:43:47 | subsectors | 1 | 67641 | 2 | 2.500 | 27056.4 |
226 | 2024-09-23 22:52:37 | subsectors | 1 | 67641 | 2 | 8.403 | 8049.6 |
225 | 2024-09-09 04:43:49 | subsectors | 1 | 67641 | 2 | 13.173 | 5134.8 |
224 | 2024-08-05 17:30:59 | subsectors | 1 | 67641 | 2 | 5.860 | 11542.8 |
223 | 2024-07-27 10:30:45 | subsectors | 1 | 67641 | 2 | 2.126 | 31816.1 |