History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bipolarity"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
370 | 2025-08-06 17:36:57 | bipolarity | 3 | 140603 | 16 | 65.630 | 2142.4 |
369 | 2025-08-02 16:12:10 | bipolarity | 5 | 173545 | 330 | 77.613 | 2236.0 |
368 | 2025-08-01 21:22:17 | bipolarity | 5 | 173545 | 330 | 78.990 | 2197.1 |
367 | 2025-07-31 18:49:29 | bipolarity | 3 | 140603 | 16 | 15.790 | 8904.6 |
366 | 2025-07-31 10:28:57 | bipolarity | 5 | 173545 | 330 | 24.926 | 6962.4 |
365 | 2025-07-30 13:36:40 | bipolarity | 2 | 108824 | 3 | 13.940 | 7806.6 |
364 | 2025-07-30 13:11:45 | bipolarity | 3 | 140603 | 16 | 25.686 | 5473.9 |
363 | 2025-07-29 20:35:16 | bipolarity | 5 | 173545 | 330 | 44.126 | 3932.9 |
362 | 2025-07-29 16:01:25 | bipolarity | 3 | 140603 | 16 | 15.876 | 8856.3 |
361 | 2025-07-25 01:35:43 | bipolarity | 1 | 67641 | 1 | 7.140 | 9473.5 |
360 | 2025-07-23 02:34:40 | bipolarity | 1 | 67641 | 1 | 2.720 | 24868.0 |
359 | 2025-07-22 10:15:45 | bipolarity | 1 | 67641 | 1 | 1.220 | 55443.4 |
358 | 2025-07-20 17:32:36 | bipolarity | 5 | 173545 | 330 | 17.143 | 10123.4 |
357 | 2025-07-15 14:19:37 | bipolarity | 3 | 140603 | 16 | 6.453 | 21788.8 |
356 | 2025-06-17 05:52:46 | bipolarity | 2 | 108824 | 3 | 3.186 | 34156.9 |
355 | 2025-06-16 02:16:42 | bipolarity | 1 | 67641 | 1 | 4.953 | 13656.6 |
354 | 2025-06-15 09:48:16 | bipolarity | 1 | 67641 | 1 | 1.013 | 66773.0 |
353 | 2025-06-14 15:27:58 | bipolarity | 5 | 173545 | 330 | 127.743 | 1358.5 |
352 | 2025-06-14 04:02:01 | bipolarity | 5 | 173545 | 330 | 80.643 | 2152.0 |
351 | 2025-06-12 21:49:28 | bipolarity | 5 | 173545 | 330 | 16.406 | 10578.1 |
350 | 2025-06-10 19:35:42 | bipolarity | 5 | 173545 | 330 | 21.190 | 8189.9 |
349 | 2025-06-10 14:56:00 | bipolarity | 5 | 173545 | 330 | 85.470 | 2030.5 |
348 | 2025-06-08 23:21:14 | bipolarity | 5 | 173545 | 330 | 16.093 | 10783.9 |
347 | 2025-06-08 19:10:57 | bipolarity | 2 | 108824 | 3 | 14.763 | 7371.4 |
346 | 2025-06-08 18:58:04 | bipolarity | 3 | 140603 | 16 | 45.650 | 3080.0 |
345 | 2025-06-07 00:15:58 | bipolarity | 1 | 67641 | 1 | 4.296 | 15745.1 |
344 | 2025-06-05 23:06:38 | bipolarity | 1 | 67641 | 1 | 3.233 | 20922.1 |
343 | 2025-05-31 05:17:25 | bipolarity | 1 | 67641 | 1 | 3.190 | 21204.1 |
342 | 2025-05-19 03:28:48 | bipolarity | 4 | 161450 | 50 | 10.310 | 15659.6 |
341 | 2025-05-17 20:09:57 | bipolarity | 4 | 161450 | 50 | 44.470 | 3630.5 |
340 | 2025-05-14 09:22:01 | bipolarity | 4 | 161450 | 50 | 43.766 | 3688.9 |
339 | 2025-05-06 07:58:26 | bipolarity | 1 | 67641 | 1 | 6.626 | 10208.4 |
338 | 2025-05-03 21:32:46 | bipolarity | 4 | 161450 | 50 | 77.316 | 2088.2 |
337 | 2025-04-29 14:53:48 | bipolarity | 4 | 161450 | 50 | 45.723 | 3531.0 |
336 | 2025-04-20 16:04:41 | bipolarity | 3 | 140603 | 16 | 9.876 | 14236.8 |
335 | 2025-04-20 12:07:56 | bipolarity | 3 | 140603 | 16 | 34.360 | 4092.1 |
334 | 2025-04-17 13:44:22 | bipolarity | 2 | 108824 | 3 | 2.953 | 36852.0 |
333 | 2025-04-15 02:57:46 | bipolarity | 3 | 140603 | 16 | 27.533 | 5106.7 |
332 | 2025-04-12 12:34:51 | bipolarity | 3 | 140603 | 16 | 27.160 | 5176.8 |
331 | 2025-04-07 04:39:24 | bipolarity | 2 | 108824 | 3 | 19.486 | 5584.7 |
330 | 2025-04-07 03:27:00 | bipolarity | 3 | 140603 | 16 | 43.000 | 3269.8 |
329 | 2025-04-02 01:04:39 | bipolarity | 1 | 67641 | 1 | 5.390 | 12549.4 |
328 | 2025-03-29 12:40:59 | bipolarity | 3 | 140603 | 16 | 50.566 | 2780.6 |
327 | 2025-03-29 08:29:50 | bipolarity | 2 | 108824 | 3 | 8.986 | 12110.4 |
326 | 2025-03-29 05:28:09 | bipolarity | 3 | 140603 | 16 | 35.796 | 3927.9 |
325 | 2025-03-28 01:16:14 | bipolarity | 1 | 67641 | 1 | 1.173 | 57665.0 |
324 | 2025-03-22 03:11:14 | bipolarity | 1 | 67641 | 1 | 1.156 | 58513.0 |
323 | 2025-03-16 15:44:15 | bipolarity | 4 | 161450 | 50 | 54.846 | 2943.7 |
322 | 2025-03-16 15:44:10 | bipolarity | 3 | 140603 | 16 | 32.346 | 4346.8 |
321 | 2025-03-16 15:44:08 | bipolarity | 2 | 108824 | 3 | 13.533 | 8041.4 |
320 | 2025-03-16 15:20:18 | bipolarity | 1 | 67641 | 1 | 1.063 | 63632.2 |
319 | 2025-03-16 02:16:40 | bipolarity | 4 | 161450 | 50 | 57.626 | 2801.7 |
318 | 2025-03-15 02:27:54 | bipolarity | 4 | 161450 | 50 | 55.940 | 2886.1 |
317 | 2025-03-08 14:10:19 | bipolarity | 4 | 161450 | 50 | 68.566 | 2354.7 |
316 | 2025-03-03 17:53:37 | bipolarity | 4 | 161450 | 50 | 55.393 | 2914.6 |
315 | 2025-03-02 16:34:19 | bipolarity | 4 | 161450 | 50 | 62.410 | 2586.9 |
314 | 2025-02-12 03:21:04 | bipolarity | 4 | 161450 | 50 | 54.690 | 2952.1 |
313 | 2025-02-09 18:59:51 | bipolarity | 4 | 161450 | 50 | 51.893 | 3111.2 |
312 | 2025-02-09 03:19:02 | bipolarity | 1 | 67641 | 1 | 7.673 | 8815.5 |
311 | 2025-02-07 02:43:36 | bipolarity | 1 | 67641 | 1 | 4.063 | 16648.0 |
310 | 2025-02-03 05:41:22 | bipolarity | 3 | 140603 | 16 | 27.420 | 5127.8 |
309 | 2025-01-31 08:40:00 | bipolarity | 3 | 140603 | 16 | 36.876 | 3812.9 |
308 | 2025-01-31 00:25:01 | bipolarity | 3 | 140603 | 16 | 30.266 | 4645.6 |
307 | 2025-01-31 00:25:04 | bipolarity | 2 | 108824 | 3 | 15.800 | 6887.6 |
306 | 2025-01-31 00:24:02 | bipolarity | 1 | 67641 | 1 | 5.330 | 12690.6 |
305 | 2025-01-29 09:47:45 | bipolarity | 3 | 140603 | 16 | 28.850 | 4873.6 |
304 | 2025-01-29 09:47:28 | bipolarity | 3 | 140603 | 16 | 32.783 | 4288.9 |
303 | 2025-01-29 08:31:14 | bipolarity | 4 | 161450 | 50 | 58.203 | 2773.9 |
302 | 2025-01-29 08:31:06 | bipolarity | 4 | 161450 | 50 | 57.580 | 2803.9 |
301 | 2025-01-29 08:31:16 | bipolarity | 3 | 140603 | 16 | 35.970 | 3908.9 |
300 | 2025-01-29 08:31:31 | bipolarity | 2 | 108824 | 3 | 15.626 | 6964.3 |
299 | 2025-01-29 08:28:22 | bipolarity | 1 | 67641 | 1 | 7.906 | 8555.7 |
298 | 2025-01-05 21:30:54 | bipolarity | 1 | 67641 | 1 | 3.626 | 18654.4 |
297 | 2025-01-03 07:40:08 | bipolarity | 4 | 161450 | 50 | 65.363 | 2470.1 |
296 | 2025-01-01 11:41:08 | bipolarity | 4 | 161450 | 50 | 54.973 | 2936.9 |
295 | 2024-12-29 20:30:56 | bipolarity | 2 | 108824 | 3 | 15.360 | 7084.9 |
294 | 2024-12-29 20:30:55 | bipolarity | 3 | 140603 | 16 | 16.453 | 8545.7 |
293 | 2024-12-29 20:28:21 | bipolarity | 1 | 67641 | 1 | 5.250 | 12884.0 |
292 | 2024-12-26 16:23:00 | bipolarity | 4 | 161450 | 50 | 63.113 | 2558.1 |
291 | 2024-12-26 09:03:50 | bipolarity | 1 | 67641 | 1 | 0.983 | 68810.8 |
290 | 2024-12-18 13:48:02 | bipolarity | 4 | 161450 | 50 | 54.786 | 2946.9 |
289 | 2024-12-17 02:45:48 | bipolarity | 4 | 161450 | 50 | 55.830 | 2891.8 |
288 | 2024-12-08 12:36:44 | bipolarity | 4 | 161450 | 50 | 55.300 | 2919.5 |
287 | 2024-12-06 08:27:48 | bipolarity | 4 | 161450 | 50 | 61.550 | 2623.1 |
286 | 2024-12-05 21:59:17 | bipolarity | 3 | 140603 | 16 | 21.253 | 6615.7 |
285 | 2024-12-05 21:58:21 | bipolarity | 2 | 108824 | 3 | 17.703 | 6147.2 |
284 | 2024-12-05 21:30:18 | bipolarity | 1 | 67641 | 1 | 1.063 | 63632.2 |
283 | 2024-12-04 08:43:41 | bipolarity | 3 | 140603 | 16 | 18.423 | 7631.9 |
282 | 2024-12-04 08:43:42 | bipolarity | 2 | 108824 | 3 | 14.076 | 7731.2 |
281 | 2024-12-04 08:43:31 | bipolarity | 1 | 67641 | 1 | 2.516 | 26884.3 |
280 | 2024-12-03 09:16:55 | bipolarity | 5 | 173545 | 330 | 125.083 | 1387.4 |
279 | 2024-12-03 09:16:45 | bipolarity | 4 | 161450 | 50 | 58.050 | 2781.2 |
278 | 2024-12-03 01:52:43 | bipolarity | 5 | 173545 | 330 | 78.583 | 2208.4 |
277 | 2024-11-30 07:46:51 | bipolarity | 4 | 161450 | 50 | 11.563 | 13962.6 |
276 | 2024-11-19 12:17:35 | bipolarity | 1 | 67641 | 1 | 4.453 | 15190.0 |
275 | 2024-11-17 01:26:39 | bipolarity | 4 | 161450 | 50 | 56.656 | 2849.7 |
274 | 2024-11-15 22:15:54 | bipolarity | 4 | 161450 | 50 | 71.940 | 2244.2 |
273 | 2024-11-05 23:24:53 | bipolarity | 5 | 173545 | 330 | 103.866 | 1670.9 |
272 | 2024-11-05 23:13:35 | bipolarity | 1 | 67641 | 1 | 1.123 | 60232.4 |
271 | 2024-11-02 10:43:25 | bipolarity | 4 | 161450 | 50 | 11.233 | 14372.8 |