History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trading"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
345 | 2024-04-22 14:20:58 | trading | 2 | 107671 | 132 | 8.783 | 12259.0 |
344 | 2024-04-21 22:37:21 | trading | 2 | 107671 | 132 | 3.800 | 28334.5 |
343 | 2024-04-18 22:27:37 | trading | 2 | 107671 | 132 | 3.923 | 27446.1 |
342 | 2024-04-17 17:04:01 | trading | 2 | 107671 | 132 | 2.890 | 37256.4 |
341 | 2024-02-26 10:34:40 | trading | 1 | 69583 | 4 | 1.250 | 55666.4 |
340 | 2023-12-11 20:11:29 | trading | 1 | 69583 | 4 | 1.046 | 66522.9 |
339 | 2023-12-11 15:03:45 | trading | 2 | 107671 | 132 | 3.076 | 35003.6 |
338 | 2023-12-08 13:54:24 | trading | 1 | 69583 | 4 | 1.186 | 58670.3 |
337 | 2023-11-30 21:12:33 | trading | 1 | 69583 | 4 | 1.250 | 55666.4 |
336 | 2023-11-25 05:11:46 | trading | 1 | 69583 | 4 | 1.236 | 56296.9 |
335 | 2023-11-11 00:15:37 | trading | 1 | 69583 | 4 | 1.046 | 66522.9 |
334 | 2023-10-30 22:20:41 | trading | 1 | 69583 | 4 | 1.153 | 60349.5 |
333 | 2023-10-04 01:35:35 | trading | 1 | 69583 | 4 | 1.170 | 59472.6 |
332 | 2023-09-26 13:09:34 | trading | 1 | 69583 | 4 | 2.106 | 33040.4 |
331 | 2023-09-22 15:39:57 | trading | 1 | 69583 | 4 | 1.140 | 61037.7 |
330 | 2023-09-22 07:14:20 | trading | 1 | 69583 | 4 | 1.156 | 60192.9 |
329 | 2023-09-13 19:10:33 | trading | 2 | 107671 | 132 | 3.420 | 31482.7 |
328 | 2023-09-09 08:51:01 | trading | 2 | 107671 | 132 | 3.093 | 34811.2 |
327 | 2023-08-01 15:18:04 | trading | 1 | 69583 | 4 | 1.170 | 59472.6 |
326 | 2023-07-18 09:00:33 | trading | 1 | 69583 | 4 | 1.216 | 57222.9 |
325 | 2023-05-29 16:36:10 | trading | 2 | 107671 | 132 | 2.796 | 38508.9 |
324 | 2023-05-17 18:26:41 | trading | 1 | 69583 | 4 | 1.046 | 66522.9 |
323 | 2023-04-21 03:48:01 | trading | 1 | 69583 | 4 | 1.170 | 59472.6 |
322 | 2023-04-13 04:58:59 | trading | 1 | 69583 | 4 | 1.063 | 65459.1 |
321 | 2023-03-09 13:01:49 | trading | 2 | 107671 | 132 | 3.343 | 32207.9 |
320 | 2023-02-12 00:29:05 | trading | 1 | 69583 | 4 | 1.060 | 65644.3 |
319 | 2022-12-24 06:18:50 | trading | 1 | 69583 | 4 | 1.046 | 66522.9 |
318 | 2022-12-13 21:19:11 | trading | 2 | 107671 | 132 | 2.796 | 38508.9 |
317 | 2022-12-09 08:06:28 | trading | 1 | 69583 | 4 | 1.046 | 66522.9 |
316 | 2022-09-01 01:56:44 | trading | 1 | 69583 | 4 | 1.330 | 52318.0 |
315 | 2022-08-24 01:10:10 | trading | 1 | 69583 | 4 | 1.046 | 66522.9 |
314 | 2022-08-09 13:04:17 | trading | 1 | 69583 | 4 | 1.233 | 56433.9 |
313 | 2022-08-02 05:46:37 | trading | 2 | 107671 | 132 | 2.813 | 38276.2 |
312 | 2022-07-09 11:27:53 | trading | 1 | 69583 | 4 | 1.080 | 64428.7 |
311 | 2022-04-23 15:12:40 | trading | 1 | 69583 | 4 | 1.173 | 59320.5 |
310 | 2022-04-16 11:55:39 | trading | 1 | 69583 | 4 | 1.220 | 57035.2 |
309 | 2022-04-01 01:03:45 | trading | 1 | 69583 | 4 | 1.580 | 44039.9 |
308 | 2021-12-31 16:21:04 | trading | 1 | 69583 | 4 | 1.156 | 60192.9 |
307 | 2021-12-31 11:57:43 | trading | 1 | 69583 | 4 | 2.203 | 31585.6 |
306 | 2021-12-29 20:01:04 | trading | 1 | 69583 | 4 | 1.106 | 62914.1 |
305 | 2021-10-30 00:23:46 | trading | 1 | 69583 | 4 | 1.076 | 64668.2 |
304 | 2021-09-18 07:03:18 | trading | 1 | 69583 | 4 | 1.156 | 60192.9 |
303 | 2021-09-14 22:59:09 | trading | 1 | 69583 | 4 | 1.093 | 63662.4 |
302 | 2021-09-03 01:26:30 | trading | 1 | 69583 | 4 | 1.093 | 63662.4 |
301 | 2021-06-14 22:13:06 | trading | 1 | 69583 | 4 | 1.093 | 63662.4 |
300 | 2021-05-30 23:00:09 | trading | 1 | 69583 | 4 | 1.173 | 59320.5 |
299 | 2021-05-05 16:13:27 | trading | 1 | 69583 | 4 | 1.186 | 58670.3 |
298 | 2021-04-16 16:18:42 | trading | 2 | 107671 | 132 | 3.263 | 32997.5 |
297 | 2021-04-03 19:40:47 | trading | 1 | 69583 | 4 | 1.203 | 57841.2 |
296 | 2021-03-15 12:44:26 | trading | 1 | 69583 | 4 | 1.060 | 65644.3 |
295 | 2021-03-08 07:01:32 | trading | 1 | 69583 | 4 | 1.190 | 58473.1 |
294 | 2021-02-22 12:44:17 | trading | 2 | 107671 | 132 | 2.983 | 36094.9 |
293 | 2020-12-19 15:51:02 | trading | 1 | 69583 | 4 | 1.063 | 65459.1 |
292 | 2020-12-08 20:26:39 | trading | 1 | 69583 | 4 | 1.060 | 65644.3 |
291 | 2020-11-03 04:30:15 | trading | 1 | 69583 | 4 | 1.330 | 52318.0 |
290 | 2020-10-30 04:08:00 | trading | 1 | 69583 | 4 | 1.203 | 57841.2 |
289 | 2020-10-25 00:34:47 | trading | 1 | 69583 | 4 | 1.063 | 65459.1 |
288 | 2020-09-02 05:17:19 | trading | 1 | 69583 | 4 | 1.076 | 64668.2 |
287 | 2020-07-26 10:42:49 | trading | 1 | 69583 | 4 | 1.126 | 61796.6 |
286 | 2020-05-22 08:17:59 | trading | 1 | 69583 | 4 | 1.060 | 65644.3 |
285 | 2020-05-19 05:25:44 | trading | 1 | 69583 | 4 | 1.076 | 64668.2 |
284 | 2020-04-06 05:54:50 | trading | 1 | 69583 | 4 | 1.250 | 55666.4 |
283 | 2020-03-29 02:54:51 | trading | 1 | 69583 | 4 | 1.250 | 55666.4 |
282 | 2020-03-25 05:37:55 | trading | 1 | 69583 | 4 | 1.216 | 57222.9 |
281 | 2020-03-24 18:49:33 | trading | 1 | 69583 | 4 | 2.656 | 26198.4 |
280 | 2020-03-22 17:58:44 | trading | 1 | 69583 | 4 | 1.326 | 52475.9 |
279 | 2020-03-20 22:52:35 | trading | 1 | 69583 | 4 | 1.080 | 64428.7 |
278 | 2020-02-24 19:45:33 | trading | 1 | 69583 | 4 | 1.296 | 53690.6 |
277 | 2020-02-19 13:56:20 | trading | 1 | 69583 | 4 | 2.186 | 31831.2 |
276 | 2020-02-14 00:01:49 | trading | 1 | 69583 | 4 | 2.813 | 24736.2 |
275 | 2020-02-13 07:56:39 | trading | 1 | 69583 | 4 | 1.093 | 63662.4 |
274 | 2020-02-03 13:40:07 | trading | 1 | 69583 | 4 | 1.216 | 57222.9 |
273 | 2020-02-01 07:23:01 | trading | 1 | 69583 | 4 | 1.673 | 41591.8 |
272 | 2020-01-31 13:26:50 | trading | 1 | 69583 | 4 | 1.360 | 51164.0 |
271 | 2020-01-30 22:19:04 | trading | 1 | 69583 | 4 | 1.283 | 54234.6 |
270 | 2020-01-27 23:20:20 | trading | 1 | 69583 | 4 | 1.310 | 53116.8 |
269 | 2020-01-24 00:37:37 | trading | 1 | 69583 | 4 | 1.343 | 51811.6 |
268 | 2020-01-14 06:55:24 | trading | 1 | 69583 | 4 | 2.736 | 25432.4 |
267 | 2020-01-12 06:06:21 | trading | 1 | 69583 | 4 | 4.156 | 16742.8 |
266 | 2020-01-11 10:22:31 | trading | 1 | 69583 | 4 | 1.216 | 57222.9 |
265 | 2020-01-11 09:32:22 | trading | 1 | 69583 | 4 | 1.203 | 57841.2 |
264 | 2020-01-07 21:46:24 | trading | 1 | 69583 | 4 | 1.313 | 52995.4 |
263 | 2019-12-30 09:14:09 | trading | 1 | 69583 | 4 | 1.156 | 60192.9 |
262 | 2019-12-27 01:38:17 | trading | 1 | 69583 | 4 | 1.143 | 60877.5 |
261 | 2019-12-26 12:10:21 | trading | 1 | 69583 | 4 | 1.296 | 53690.6 |
260 | 2019-12-24 16:27:52 | trading | 1 | 69583 | 4 | 1.203 | 57841.2 |
259 | 2019-11-22 01:04:30 | trading | 1 | 69583 | 4 | 1.063 | 65459.1 |
258 | 2019-11-13 07:11:30 | trading | 1 | 69583 | 4 | 1.060 | 65644.3 |
257 | 2019-09-02 08:14:47 | trading | 1 | 69583 | 4 | 1.013 | 68690.0 |
256 | 2019-08-11 23:22:05 | trading | 1 | 69583 | 4 | 1.060 | 65644.3 |
255 | 2019-07-25 09:57:59 | trading | 1 | 69583 | 4 | 1.273 | 54660.6 |
254 | 2019-05-12 04:12:55 | trading | 1 | 69583 | 4 | 1.093 | 63662.4 |
253 | 2019-02-25 07:17:09 | trading | 1 | 69583 | 4 | 1.023 | 68018.6 |
252 | 2019-02-23 11:56:20 | trading | 1 | 69583 | 4 | 1.200 | 57985.8 |
251 | 2019-02-15 03:51:59 | trading | 1 | 69583 | 4 | 1.053 | 66080.7 |
250 | 2019-02-11 18:47:57 | trading | 1 | 69583 | 4 | 1.010 | 68894.1 |
249 | 2019-02-11 18:32:31 | trading | 1 | 69583 | 4 | 1.020 | 68218.6 |
248 | 2019-02-09 23:50:36 | trading | 1 | 69583 | 4 | 1.163 | 59830.6 |
247 | 2019-02-08 05:38:43 | trading | 1 | 69583 | 4 | 1.053 | 66080.7 |
246 | 2019-02-02 23:34:46 | trading | 1 | 69583 | 4 | 1.196 | 58179.8 |