History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"speediness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
301 | 2025-07-13 21:23:00 | speediness | 1 | 67641 | 2 | 8.390 | 8062.1 |
300 | 2025-07-12 11:03:40 | speediness | 1 | 67641 | 2 | 1.250 | 54112.8 |
299 | 2025-07-08 06:09:27 | speediness | 1 | 67641 | 2 | 5.910 | 11445.2 |
298 | 2025-07-07 14:51:51 | speediness | 3 | 140603 | 73 | 19.466 | 7223.0 |
297 | 2025-07-07 10:58:11 | speediness | 1 | 67641 | 2 | 7.673 | 8815.5 |
296 | 2025-07-05 02:39:12 | speediness | 3 | 140603 | 73 | 45.860 | 3065.9 |
295 | 2025-07-02 14:33:31 | speediness | 3 | 140603 | 73 | 18.423 | 7631.9 |
294 | 2025-07-02 14:14:02 | speediness | 3 | 140603 | 73 | 30.236 | 4650.2 |
293 | 2025-07-02 08:47:20 | speediness | 2 | 108824 | 13 | 23.220 | 4686.6 |
292 | 2025-07-01 15:04:03 | speediness | 1 | 67641 | 2 | 2.640 | 25621.6 |
291 | 2025-07-01 12:30:51 | speediness | 1 | 67641 | 2 | 1.093 | 61885.6 |
290 | 2025-06-28 00:14:15 | speediness | 1 | 67641 | 2 | 7.703 | 8781.1 |
289 | 2025-06-24 00:26:24 | speediness | 1 | 67641 | 2 | 2.923 | 23141.0 |
288 | 2025-06-20 20:28:04 | speediness | 1 | 67641 | 2 | 7.080 | 9553.8 |
287 | 2025-06-13 09:14:39 | speediness | 1 | 67641 | 2 | 1.030 | 65670.9 |
286 | 2025-06-10 09:11:10 | speediness | 1 | 67641 | 2 | 7.673 | 8815.5 |
285 | 2025-06-08 13:10:26 | speediness | 3 | 140603 | 73 | 45.353 | 3100.2 |
284 | 2025-06-07 13:51:16 | speediness | 3 | 140603 | 73 | 30.156 | 4662.5 |
283 | 2025-06-05 05:28:21 | speediness | 3 | 140603 | 73 | 18.953 | 7418.5 |
282 | 2025-05-27 00:09:05 | speediness | 1 | 67641 | 2 | 5.783 | 11696.5 |
281 | 2025-05-25 20:40:27 | speediness | 1 | 67641 | 2 | 1.096 | 61716.2 |
280 | 2025-05-17 21:18:24 | speediness | 3 | 140603 | 73 | 26.410 | 5323.9 |
279 | 2025-05-12 13:27:06 | speediness | 3 | 140603 | 73 | 25.983 | 5411.3 |
278 | 2025-05-12 07:24:11 | speediness | 2 | 108824 | 13 | 16.326 | 6665.7 |
277 | 2025-05-04 00:16:32 | speediness | 1 | 67641 | 2 | 3.593 | 18825.8 |
276 | 2025-04-28 09:10:44 | speediness | 1 | 67641 | 2 | 8.423 | 8030.5 |
275 | 2025-04-24 21:29:30 | speediness | 4 | 161450 | 443 | 11.126 | 14511.1 |
274 | 2025-04-21 17:41:32 | speediness | 4 | 161450 | 443 | 48.940 | 3298.9 |
273 | 2025-04-20 14:39:49 | speediness | 4 | 161450 | 443 | 50.020 | 3227.7 |
272 | 2025-04-20 08:34:46 | speediness | 4 | 161450 | 443 | 67.453 | 2393.5 |
271 | 2025-04-17 19:43:01 | speediness | 4 | 161450 | 443 | 32.830 | 4917.8 |
270 | 2025-04-14 14:16:56 | speediness | 1 | 67641 | 2 | 8.296 | 8153.4 |
269 | 2025-04-11 19:16:55 | speediness | 4 | 161450 | 443 | 60.103 | 2686.2 |
268 | 2025-04-09 10:23:56 | speediness | 4 | 161450 | 443 | 64.956 | 2485.5 |
267 | 2025-03-23 16:25:02 | speediness | 4 | 161450 | 443 | 41.533 | 3887.3 |
266 | 2025-03-23 11:09:05 | speediness | 1 | 67641 | 2 | 8.346 | 8104.6 |
265 | 2025-03-16 21:24:02 | speediness | 4 | 161450 | 443 | 58.880 | 2742.0 |
264 | 2025-03-16 10:33:34 | speediness | 4 | 161450 | 443 | 67.830 | 2380.2 |
263 | 2025-03-15 06:30:22 | speediness | 4 | 161450 | 443 | 81.300 | 1985.9 |
262 | 2025-03-14 19:34:19 | speediness | 1 | 67641 | 2 | 12.643 | 5350.1 |
261 | 2025-03-14 17:17:49 | speediness | 4 | 161450 | 443 | 75.956 | 2125.6 |
260 | 2025-03-14 11:47:27 | speediness | 4 | 161450 | 443 | 10.970 | 14717.4 |
259 | 2025-03-12 17:39:13 | speediness | 1 | 67641 | 2 | 6.656 | 10162.4 |
258 | 2025-02-25 17:31:36 | speediness | 1 | 67641 | 2 | 1.093 | 61885.6 |
257 | 2025-02-13 02:21:25 | speediness | 4 | 161450 | 443 | 54.346 | 2970.8 |
256 | 2025-02-12 23:31:27 | speediness | 4 | 161450 | 443 | 78.736 | 2050.5 |
255 | 2025-02-12 23:25:01 | speediness | 1 | 67641 | 2 | 2.453 | 27574.8 |
254 | 2025-02-10 13:23:37 | speediness | 3 | 140603 | 73 | 23.423 | 6002.8 |
253 | 2025-02-10 13:03:32 | speediness | 1 | 67641 | 2 | 1.030 | 65670.9 |
252 | 2025-02-09 03:43:07 | speediness | 3 | 140603 | 73 | 44.846 | 3135.2 |
251 | 2025-02-09 03:43:04 | speediness | 2 | 108824 | 13 | 12.953 | 8401.5 |
250 | 2025-02-08 23:58:26 | speediness | 1 | 67641 | 2 | 5.296 | 12772.1 |
249 | 2025-01-31 17:45:08 | speediness | 3 | 140603 | 73 | 39.550 | 3555.1 |
248 | 2025-01-31 17:45:03 | speediness | 2 | 108824 | 13 | 22.110 | 4921.9 |
247 | 2025-01-30 11:23:24 | speediness | 3 | 140603 | 73 | 31.670 | 4439.6 |
246 | 2025-01-30 08:53:31 | speediness | 3 | 140603 | 73 | 32.003 | 4393.4 |
245 | 2025-01-30 08:53:44 | speediness | 2 | 108824 | 13 | 14.813 | 7346.5 |
244 | 2025-01-30 08:50:35 | speediness | 1 | 67641 | 2 | 3.000 | 22547.0 |
243 | 2025-01-01 22:37:59 | speediness | 3 | 140603 | 73 | 40.706 | 3454.1 |
242 | 2024-12-30 05:08:21 | speediness | 3 | 140603 | 73 | 29.406 | 4781.4 |
241 | 2024-12-28 17:25:41 | speediness | 3 | 140603 | 73 | 27.130 | 5182.6 |
240 | 2024-12-28 17:25:51 | speediness | 2 | 108824 | 13 | 13.376 | 8135.8 |
239 | 2024-12-28 00:55:00 | speediness | 3 | 140603 | 73 | 47.643 | 2951.2 |
238 | 2024-12-28 00:54:56 | speediness | 3 | 140603 | 73 | 31.080 | 4523.9 |
237 | 2024-12-28 00:55:06 | speediness | 2 | 108824 | 13 | 15.126 | 7194.5 |
236 | 2024-12-27 23:54:44 | speediness | 1 | 67641 | 2 | 5.513 | 12269.4 |
235 | 2024-12-15 01:25:13 | speediness | 1 | 67641 | 2 | 5.423 | 12473.0 |
234 | 2024-12-13 01:59:40 | speediness | 1 | 67641 | 2 | 7.673 | 8815.5 |
233 | 2024-12-06 16:39:23 | speediness | 1 | 67641 | 2 | 2.516 | 26884.3 |
232 | 2024-11-27 21:21:11 | speediness | 1 | 67641 | 2 | 1.013 | 66773.0 |
231 | 2024-11-09 15:21:26 | speediness | 1 | 67641 | 2 | 3.470 | 19493.1 |
230 | 2024-11-03 23:27:12 | speediness | 1 | 67641 | 2 | 1.186 | 57032.9 |
229 | 2024-10-27 20:15:48 | speediness | 1 | 67641 | 2 | 1.170 | 57812.8 |
228 | 2024-10-17 03:07:14 | speediness | 2 | 108824 | 13 | 22.296 | 4880.9 |
227 | 2024-10-17 03:07:10 | speediness | 2 | 108824 | 13 | 8.653 | 12576.4 |
226 | 2024-10-04 03:26:09 | speediness | 1 | 67641 | 2 | 7.110 | 9513.5 |
225 | 2024-09-26 19:47:40 | speediness | 2 | 108824 | 13 | 29.626 | 3673.3 |
224 | 2024-09-26 19:47:27 | speediness | 3 | 140603 | 73 | 42.520 | 3306.7 |
223 | 2024-09-26 18:34:00 | speediness | 1 | 67641 | 2 | 7.690 | 8796.0 |
222 | 2024-09-25 23:55:54 | speediness | 2 | 108824 | 13 | 25.670 | 4239.3 |
221 | 2024-09-24 08:46:00 | speediness | 2 | 108824 | 13 | 29.800 | 3651.8 |
220 | 2024-09-24 06:48:25 | speediness | 2 | 108824 | 13 | 34.593 | 3145.8 |
219 | 2024-09-24 03:13:07 | speediness | 2 | 108824 | 13 | 30.236 | 3599.2 |
218 | 2024-09-24 03:13:13 | speediness | 2 | 108824 | 13 | 14.016 | 7764.3 |
217 | 2024-09-23 16:25:43 | speediness | 3 | 140603 | 73 | 73.613 | 1910.0 |
216 | 2024-09-23 16:25:43 | speediness | 4 | 161450 | 443 | 48.080 | 3357.9 |
215 | 2024-09-23 16:25:44 | speediness | 2 | 108824 | 13 | 36.376 | 2991.6 |
214 | 2024-09-23 16:24:25 | speediness | 1 | 67641 | 2 | 4.170 | 16220.9 |
213 | 2024-08-07 18:23:57 | speediness | 2 | 108824 | 13 | 5.576 | 19516.5 |
212 | 2024-08-07 18:23:49 | speediness | 3 | 140603 | 73 | 12.860 | 10933.4 |
211 | 2024-08-07 17:28:19 | speediness | 1 | 67641 | 2 | 4.640 | 14577.8 |
210 | 2024-08-02 00:36:30 | speediness | 1 | 67641 | 2 | 4.626 | 14621.9 |
209 | 2024-07-31 06:46:42 | speediness | 4 | 161450 | 443 | 65.800 | 2453.6 |
208 | 2024-07-30 16:16:30 | speediness | 4 | 161450 | 443 | 40.080 | 4028.2 |
207 | 2024-07-28 19:47:26 | speediness | 4 | 161450 | 443 | 47.393 | 3406.6 |
206 | 2024-07-28 19:47:27 | speediness | 3 | 140603 | 73 | 27.283 | 5153.5 |
205 | 2024-07-28 19:47:32 | speediness | 2 | 108824 | 13 | 8.296 | 13117.6 |
204 | 2024-07-28 19:42:18 | speediness | 1 | 67641 | 2 | 1.733 | 39031.2 |
203 | 2024-07-19 12:50:25 | speediness | 1 | 67641 | 2 | 5.030 | 13447.5 |
202 | 2024-07-06 05:45:19 | speediness | 1 | 67641 | 2 | 4.360 | 15514.0 |