History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"specialest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
297 | 2025-09-11 07:35:11 | specialest | 4 | 161450 | 145 | 11.126 | 14511.1 |
296 | 2025-09-11 01:19:27 | specialest | 1 | 67641 | 2 | 1.140 | 59334.2 |
295 | 2025-09-02 18:02:29 | specialest | 4 | 161450 | 145 | 10.906 | 14803.8 |
294 | 2025-08-27 14:31:43 | specialest | 1 | 67641 | 2 | 1.203 | 56226.9 |
293 | 2025-08-22 03:12:26 | specialest | 2 | 108824 | 9 | 3.076 | 35378.4 |
292 | 2025-08-19 01:10:12 | specialest | 1 | 67641 | 2 | 3.000 | 22547.0 |
291 | 2025-08-18 19:46:23 | specialest | 1 | 67641 | 2 | 8.470 | 7986.0 |
290 | 2025-08-18 10:18:58 | specialest | 3 | 140603 | 31 | 5.763 | 24397.5 |
289 | 2025-08-17 19:24:47 | specialest | 2 | 108824 | 9 | 23.533 | 4624.3 |
288 | 2025-08-17 19:12:00 | specialest | 3 | 140603 | 31 | 32.830 | 4282.8 |
287 | 2025-08-16 12:26:57 | specialest | 1 | 67641 | 2 | 1.060 | 63812.3 |
286 | 2025-08-12 23:00:11 | specialest | 3 | 140603 | 31 | 16.456 | 8544.2 |
285 | 2025-08-11 08:21:33 | specialest | 2 | 108824 | 9 | 2.686 | 40515.3 |
284 | 2025-08-11 04:33:44 | specialest | 3 | 140603 | 31 | 25.393 | 5537.1 |
283 | 2025-08-09 08:22:14 | specialest | 1 | 67641 | 2 | 5.346 | 12652.6 |
282 | 2025-08-09 06:26:33 | specialest | 1 | 67641 | 2 | 9.580 | 7060.6 |
281 | 2025-08-08 04:31:49 | specialest | 3 | 140603 | 31 | 6.563 | 21423.6 |
280 | 2025-08-04 02:00:07 | specialest | 1 | 67641 | 2 | 2.030 | 33320.7 |
279 | 2025-08-01 19:15:13 | specialest | 2 | 108824 | 9 | 15.453 | 7042.3 |
278 | 2025-07-31 23:59:33 | specialest | 3 | 140603 | 31 | 43.940 | 3199.9 |
277 | 2025-07-31 21:06:38 | specialest | 4 | 161450 | 145 | 68.560 | 2354.9 |
276 | 2025-07-31 06:41:04 | specialest | 1 | 67641 | 2 | 1.250 | 54112.8 |
275 | 2025-07-29 19:31:21 | specialest | 4 | 161450 | 145 | 30.326 | 5323.8 |
274 | 2025-07-24 14:13:04 | specialest | 1 | 67641 | 2 | 5.220 | 12958.0 |
273 | 2025-07-24 07:20:22 | specialest | 1 | 67641 | 2 | 3.580 | 18894.1 |
272 | 2025-07-21 04:59:48 | specialest | 4 | 161450 | 145 | 15.576 | 10365.3 |
271 | 2025-07-21 04:13:23 | specialest | 2 | 108824 | 9 | 2.970 | 36641.1 |
270 | 2025-07-21 03:47:18 | specialest | 3 | 140603 | 31 | 6.890 | 20406.8 |
269 | 2025-07-13 01:21:22 | specialest | 1 | 67641 | 2 | 2.080 | 32519.7 |
268 | 2025-07-09 14:07:01 | specialest | 1 | 67641 | 2 | 1.220 | 55443.4 |
267 | 2025-07-08 06:13:05 | specialest | 1 | 67641 | 2 | 5.626 | 12022.9 |
266 | 2025-07-05 15:43:15 | specialest | 1 | 67641 | 2 | 4.890 | 13832.5 |
265 | 2025-06-28 06:54:26 | specialest | 1 | 67641 | 2 | 4.750 | 14240.2 |
264 | 2025-06-15 10:45:00 | specialest | 1 | 67641 | 2 | 1.170 | 57812.8 |
263 | 2025-06-14 20:22:33 | specialest | 1 | 67641 | 2 | 3.563 | 18984.3 |
262 | 2025-06-08 05:20:45 | specialest | 1 | 67641 | 2 | 5.280 | 12810.8 |
261 | 2025-06-07 10:28:13 | specialest | 1 | 67641 | 2 | 1.076 | 62863.4 |
260 | 2025-06-06 11:10:10 | specialest | 1 | 67641 | 2 | 5.966 | 11337.7 |
259 | 2025-05-29 11:14:12 | specialest | 3 | 140603 | 31 | 41.440 | 3392.9 |
258 | 2025-05-25 07:07:27 | specialest | 1 | 67641 | 2 | 1.033 | 65480.2 |
257 | 2025-05-19 06:09:00 | specialest | 1 | 67641 | 2 | 1.030 | 65670.9 |
256 | 2025-04-28 17:56:08 | specialest | 1 | 67641 | 2 | 2.406 | 28113.5 |
255 | 2025-04-26 14:49:22 | specialest | 1 | 67641 | 2 | 7.233 | 9351.7 |
254 | 2025-04-26 05:00:26 | specialest | 1 | 67641 | 2 | 8.610 | 7856.1 |
253 | 2025-04-24 01:07:25 | specialest | 1 | 67641 | 2 | 4.936 | 13703.6 |
252 | 2025-03-23 23:16:57 | specialest | 1 | 67641 | 2 | 2.986 | 22652.7 |
251 | 2025-03-15 05:20:53 | specialest | 1 | 67641 | 2 | 4.326 | 15635.9 |
250 | 2025-02-26 08:43:09 | specialest | 1 | 67641 | 2 | 5.030 | 13447.5 |
249 | 2025-02-16 09:35:07 | specialest | 3 | 140603 | 31 | 28.483 | 4936.4 |
248 | 2025-02-12 00:56:48 | specialest | 3 | 140603 | 31 | 35.673 | 3941.4 |
247 | 2025-02-04 02:24:28 | specialest | 1 | 67641 | 2 | 2.796 | 24192.1 |
246 | 2025-02-02 19:38:00 | specialest | 2 | 108824 | 9 | 15.156 | 7180.3 |
245 | 2025-02-02 19:34:33 | specialest | 1 | 67641 | 2 | 2.733 | 24749.7 |
244 | 2025-02-01 07:04:03 | specialest | 3 | 140603 | 31 | 35.173 | 3997.5 |
243 | 2025-01-31 17:55:40 | specialest | 3 | 140603 | 31 | 32.423 | 4336.5 |
242 | 2025-01-29 06:22:04 | specialest | 4 | 161450 | 145 | 65.690 | 2457.8 |
241 | 2025-01-29 06:22:02 | specialest | 3 | 140603 | 31 | 30.830 | 4560.6 |
240 | 2025-01-29 06:21:59 | specialest | 2 | 108824 | 9 | 15.720 | 6922.6 |
239 | 2025-01-29 06:19:59 | specialest | 1 | 67641 | 2 | 5.500 | 12298.4 |
238 | 2025-01-04 22:49:43 | specialest | 4 | 161450 | 145 | 84.583 | 1908.8 |
237 | 2025-01-04 16:42:57 | specialest | 3 | 140603 | 31 | 22.893 | 6141.7 |
236 | 2025-01-04 16:42:54 | specialest | 3 | 140603 | 31 | 23.566 | 5966.3 |
235 | 2025-01-04 16:39:30 | specialest | 1 | 67641 | 2 | 3.716 | 18202.6 |
234 | 2025-01-04 02:01:24 | specialest | 1 | 67641 | 2 | 6.000 | 11273.5 |
233 | 2025-01-01 03:24:13 | specialest | 4 | 161450 | 145 | 57.753 | 2795.5 |
232 | 2025-01-01 03:24:15 | specialest | 3 | 140603 | 31 | 30.800 | 4565.0 |
231 | 2025-01-01 03:22:43 | specialest | 1 | 67641 | 2 | 1.266 | 53428.9 |
230 | 2024-12-26 09:07:44 | specialest | 1 | 67641 | 2 | 1.200 | 56367.5 |
229 | 2024-12-03 09:31:40 | specialest | 2 | 108824 | 9 | 21.186 | 5136.6 |
228 | 2024-12-02 03:52:03 | specialest | 1 | 67641 | 2 | 5.283 | 12803.5 |
227 | 2024-11-28 18:24:35 | specialest | 2 | 108824 | 9 | 8.126 | 13392.1 |
226 | 2024-11-28 12:15:31 | specialest | 1 | 67641 | 2 | 4.156 | 16275.5 |
225 | 2024-10-28 06:04:37 | specialest | 2 | 108824 | 9 | 7.420 | 14666.3 |
224 | 2024-10-28 06:03:30 | specialest | 1 | 67641 | 2 | 5.860 | 11542.8 |
223 | 2024-10-24 22:25:34 | specialest | 4 | 161450 | 145 | 88.180 | 1830.9 |
222 | 2024-10-23 23:52:48 | specialest | 3 | 140603 | 31 | 28.330 | 4963.0 |
221 | 2024-10-22 20:29:36 | specialest | 1 | 67641 | 2 | 5.750 | 11763.7 |
220 | 2024-10-22 16:27:05 | specialest | 3 | 140603 | 31 | 35.563 | 3953.6 |
219 | 2024-10-22 16:27:01 | specialest | 3 | 140603 | 31 | 21.033 | 6684.9 |
218 | 2024-10-19 07:09:13 | specialest | 1 | 67641 | 2 | 3.893 | 17375.0 |
217 | 2024-10-18 05:05:05 | specialest | 2 | 108824 | 9 | 16.203 | 6716.3 |
216 | 2024-10-18 05:00:42 | specialest | 1 | 67641 | 2 | 4.546 | 14879.2 |
215 | 2024-10-13 11:23:07 | specialest | 3 | 140603 | 31 | 32.170 | 4370.6 |
214 | 2024-10-13 11:22:28 | specialest | 2 | 108824 | 9 | 15.753 | 6908.1 |
213 | 2024-10-09 14:02:35 | specialest | 3 | 140603 | 31 | 26.470 | 5311.8 |
212 | 2024-10-08 23:29:19 | specialest | 4 | 161450 | 145 | 56.346 | 2865.3 |
211 | 2024-10-08 23:29:21 | specialest | 3 | 140603 | 31 | 42.520 | 3306.7 |
210 | 2024-10-08 23:29:24 | specialest | 2 | 108824 | 9 | 22.626 | 4809.7 |
209 | 2024-10-08 23:23:37 | specialest | 1 | 67641 | 2 | 2.860 | 23650.7 |
208 | 2024-09-08 10:28:37 | specialest | 1 | 67641 | 2 | 15.643 | 4324.0 |
207 | 2024-09-04 00:10:22 | specialest | 1 | 67641 | 2 | 11.890 | 5688.9 |
206 | 2024-09-01 15:05:00 | specialest | 3 | 140603 | 31 | 25.313 | 5554.6 |
205 | 2024-08-27 03:45:45 | specialest | 1 | 67641 | 2 | 4.296 | 15745.1 |
204 | 2024-08-26 21:23:44 | specialest | 3 | 140603 | 31 | 49.660 | 2831.3 |
203 | 2024-08-26 07:12:26 | specialest | 3 | 140603 | 31 | 50.863 | 2764.3 |
202 | 2024-08-22 17:12:21 | specialest | 2 | 108824 | 9 | 21.486 | 5064.9 |
201 | 2024-08-18 12:33:29 | specialest | 3 | 140603 | 31 | 44.236 | 3178.5 |
200 | 2024-08-16 22:39:57 | specialest | 3 | 140603 | 31 | 66.580 | 2111.8 |
199 | 2024-08-16 22:39:27 | specialest | 4 | 161450 | 145 | 59.863 | 2697.0 |
198 | 2024-08-16 22:39:25 | specialest | 2 | 108824 | 9 | 23.703 | 4591.1 |