History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predict"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
320 | 2024-04-27 11:15:58 | predict | 1 | 69583 | 2 | 2.580 | 26970.2 |
319 | 2024-02-27 22:46:02 | predict | 1 | 69583 | 2 | 2.716 | 25619.7 |
318 | 2024-02-22 00:41:38 | predict | 3 | 134027 | 243 | 8.296 | 16155.6 |
317 | 2024-02-21 13:00:20 | predict | 3 | 134027 | 243 | 11.783 | 11374.6 |
316 | 2024-02-20 15:00:00 | predict | 3 | 134027 | 243 | 13.890 | 9649.2 |
315 | 2024-01-30 19:07:56 | predict | 1 | 69583 | 2 | 1.216 | 57222.9 |
314 | 2024-01-24 07:34:26 | predict | 1 | 69583 | 2 | 1.170 | 59472.6 |
313 | 2024-01-22 12:23:52 | predict | 3 | 134027 | 243 | 21.126 | 6344.2 |
312 | 2024-01-21 14:13:25 | predict | 3 | 134027 | 243 | 6.576 | 20381.2 |
311 | 2024-01-12 21:53:49 | predict | 2 | 107671 | 23 | 3.313 | 32499.5 |
310 | 2024-01-12 16:17:43 | predict | 3 | 134027 | 243 | 7.173 | 18684.9 |
309 | 2023-12-22 08:06:30 | predict | 2 | 107671 | 23 | 11.126 | 9677.4 |
308 | 2023-12-08 22:39:41 | predict | 1 | 69583 | 2 | 1.186 | 58670.3 |
307 | 2023-11-24 12:07:45 | predict | 1 | 69583 | 2 | 1.126 | 61796.6 |
306 | 2023-11-18 03:42:52 | predict | 1 | 69583 | 2 | 1.250 | 55666.4 |
305 | 2023-11-17 17:14:07 | predict | 3 | 134027 | 243 | 5.906 | 22693.4 |
304 | 2023-10-06 20:07:02 | predict | 1 | 69583 | 2 | 1.203 | 57841.2 |
303 | 2023-10-02 23:54:37 | predict | 1 | 69583 | 2 | 1.096 | 63488.1 |
302 | 2023-09-29 06:47:31 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
301 | 2023-09-22 10:07:45 | predict | 2 | 107671 | 23 | 3.236 | 33272.9 |
300 | 2023-09-14 20:18:47 | predict | 1 | 69583 | 2 | 1.063 | 65459.1 |
299 | 2023-09-10 01:00:22 | predict | 1 | 69583 | 2 | 1.096 | 63488.1 |
298 | 2023-08-18 16:54:37 | predict | 3 | 134027 | 243 | 6.610 | 20276.4 |
297 | 2023-07-01 11:51:46 | predict | 2 | 107671 | 23 | 2.860 | 37647.2 |
296 | 2023-06-17 06:09:52 | predict | 1 | 69583 | 2 | 1.046 | 66522.9 |
295 | 2023-06-12 18:02:33 | predict | 1 | 69583 | 2 | 1.126 | 61796.6 |
294 | 2023-05-01 18:06:45 | predict | 3 | 134027 | 243 | 6.266 | 21389.6 |
293 | 2023-03-31 20:51:13 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
292 | 2023-03-24 13:39:28 | predict | 2 | 107671 | 23 | 2.830 | 38046.3 |
291 | 2023-03-04 16:55:10 | predict | 3 | 134027 | 243 | 6.076 | 22058.4 |
290 | 2023-02-21 10:29:34 | predict | 1 | 69583 | 2 | 1.170 | 59472.6 |
289 | 2023-02-18 00:31:53 | predict | 1 | 69583 | 2 | 1.063 | 65459.1 |
288 | 2023-02-05 06:35:01 | predict | 3 | 134027 | 243 | 6.533 | 20515.4 |
287 | 2023-01-15 15:01:19 | predict | 1 | 69583 | 2 | 1.063 | 65459.1 |
286 | 2023-01-12 12:54:08 | predict | 3 | 134027 | 243 | 5.906 | 22693.4 |
285 | 2022-12-29 03:46:17 | predict | 3 | 134027 | 243 | 5.906 | 22693.4 |
284 | 2022-12-24 12:53:16 | predict | 2 | 107671 | 23 | 2.843 | 37872.3 |
283 | 2022-12-13 21:32:51 | predict | 3 | 134027 | 243 | 6.596 | 20319.4 |
282 | 2022-11-16 12:50:23 | predict | 3 | 134027 | 243 | 6.096 | 21986.1 |
281 | 2022-11-04 17:22:05 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
280 | 2022-10-31 20:45:54 | predict | 1 | 69583 | 2 | 1.110 | 62687.4 |
279 | 2022-08-25 10:14:59 | predict | 2 | 107671 | 23 | 2.923 | 36835.8 |
278 | 2022-07-14 15:44:49 | predict | 1 | 69583 | 2 | 1.080 | 64428.7 |
277 | 2022-06-25 10:24:56 | predict | 1 | 69583 | 2 | 1.156 | 60192.9 |
276 | 2022-06-19 23:55:03 | predict | 3 | 134027 | 243 | 5.796 | 23124.1 |
275 | 2022-03-21 01:44:55 | predict | 1 | 69583 | 2 | 1.110 | 62687.4 |
274 | 2022-03-02 15:01:03 | predict | 1 | 69583 | 2 | 1.656 | 42018.7 |
273 | 2022-02-28 10:46:34 | predict | 1 | 69583 | 2 | 1.673 | 41591.8 |
272 | 2022-01-31 09:37:40 | predict | 1 | 69583 | 2 | 1.186 | 58670.3 |
271 | 2021-12-06 21:38:12 | predict | 1 | 69583 | 2 | 1.203 | 57841.2 |
270 | 2021-11-30 11:05:35 | predict | 1 | 69583 | 2 | 1.170 | 59472.6 |
269 | 2021-11-21 15:38:58 | predict | 1 | 69583 | 2 | 2.173 | 32021.6 |
268 | 2021-09-28 20:33:31 | predict | 1 | 69583 | 2 | 1.076 | 64668.2 |
267 | 2021-09-28 07:00:12 | predict | 1 | 69583 | 2 | 1.220 | 57035.2 |
266 | 2021-09-23 23:10:09 | predict | 1 | 69583 | 2 | 1.063 | 65459.1 |
265 | 2021-08-24 04:06:26 | predict | 1 | 69583 | 2 | 1.203 | 57841.2 |
264 | 2021-08-20 18:01:38 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
263 | 2021-07-03 06:25:14 | predict | 1 | 69583 | 2 | 1.216 | 57222.9 |
262 | 2021-05-16 19:37:56 | predict | 1 | 69583 | 2 | 1.250 | 55666.4 |
261 | 2021-04-16 15:32:41 | predict | 1 | 69583 | 2 | 1.263 | 55093.4 |
260 | 2021-02-21 15:14:02 | predict | 1 | 69583 | 2 | 1.200 | 57985.8 |
259 | 2021-02-09 18:34:47 | predict | 1 | 69583 | 2 | 1.156 | 60192.9 |
258 | 2021-02-04 08:14:00 | predict | 1 | 69583 | 2 | 1.220 | 57035.2 |
257 | 2021-02-02 11:50:40 | predict | 1 | 69583 | 2 | 1.106 | 62914.1 |
256 | 2020-12-30 23:21:11 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
255 | 2020-12-04 00:17:44 | predict | 1 | 69583 | 2 | 1.080 | 64428.7 |
254 | 2020-11-02 22:39:17 | predict | 1 | 69583 | 2 | 1.140 | 61037.7 |
253 | 2020-10-29 23:22:44 | predict | 1 | 69583 | 2 | 1.296 | 53690.6 |
252 | 2020-10-21 13:08:32 | predict | 1 | 69583 | 2 | 1.250 | 55666.4 |
251 | 2020-10-18 08:29:54 | predict | 1 | 69583 | 2 | 1.106 | 62914.1 |
250 | 2020-10-12 12:48:42 | predict | 1 | 69583 | 2 | 1.250 | 55666.4 |
249 | 2020-09-01 06:30:06 | predict | 1 | 69583 | 2 | 1.296 | 53690.6 |
248 | 2020-08-28 01:47:57 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
247 | 2020-07-30 22:05:54 | predict | 1 | 69583 | 2 | 1.140 | 61037.7 |
246 | 2020-05-01 17:00:12 | predict | 1 | 69583 | 2 | 1.093 | 63662.4 |
245 | 2020-03-28 09:37:29 | predict | 1 | 69583 | 2 | 1.373 | 50679.5 |
244 | 2020-03-24 03:36:32 | predict | 1 | 69583 | 2 | 2.673 | 26031.8 |
243 | 2020-03-23 01:59:24 | predict | 1 | 69583 | 2 | 2.000 | 34791.5 |
242 | 2020-03-19 23:02:16 | predict | 1 | 69583 | 2 | 1.106 | 62914.1 |
241 | 2020-02-18 00:07:29 | predict | 1 | 69583 | 2 | 2.703 | 25742.9 |
240 | 2020-02-11 03:43:44 | predict | 1 | 69583 | 2 | 1.310 | 53116.8 |
239 | 2020-02-09 23:01:31 | predict | 1 | 69583 | 2 | 1.580 | 44039.9 |
238 | 2020-02-06 12:32:04 | predict | 1 | 69583 | 2 | 1.483 | 46920.4 |
237 | 2020-02-05 12:57:10 | predict | 1 | 69583 | 2 | 1.513 | 45990.1 |
236 | 2020-01-31 08:09:03 | predict | 1 | 69583 | 2 | 2.890 | 24077.2 |
235 | 2020-01-30 15:11:01 | predict | 1 | 69583 | 2 | 1.640 | 42428.7 |
234 | 2020-01-27 15:43:08 | predict | 1 | 69583 | 2 | 1.360 | 51164.0 |
233 | 2020-01-24 04:31:57 | predict | 1 | 69583 | 2 | 1.250 | 55666.4 |
232 | 2020-01-18 00:30:48 | predict | 1 | 69583 | 2 | 1.423 | 48898.8 |
231 | 2020-01-18 00:11:15 | predict | 1 | 69583 | 2 | 1.233 | 56433.9 |
230 | 2020-01-14 11:37:09 | predict | 1 | 69583 | 2 | 2.563 | 27149.0 |
229 | 2020-01-09 00:51:51 | predict | 1 | 69583 | 2 | 1.373 | 50679.5 |
228 | 2020-01-01 07:39:22 | predict | 1 | 69583 | 2 | 1.063 | 65459.1 |
227 | 2019-12-29 02:24:56 | predict | 1 | 69583 | 2 | 1.533 | 45390.1 |
226 | 2019-12-29 00:17:50 | predict | 1 | 69583 | 2 | 2.346 | 29660.3 |
225 | 2019-12-27 22:50:58 | predict | 1 | 69583 | 2 | 1.983 | 35089.8 |
224 | 2019-10-29 12:40:18 | predict | 1 | 69583 | 2 | 1.200 | 57985.8 |
223 | 2019-07-28 10:17:12 | predict | 1 | 69583 | 2 | 1.176 | 59169.2 |
222 | 2019-05-30 01:28:45 | predict | 1 | 69583 | 2 | 1.083 | 64250.2 |
221 | 2019-04-27 11:13:38 | predict | 1 | 69583 | 2 | 1.090 | 63837.6 |