History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predicting"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
381 | 2025-08-10 04:06:29 | predicting | 1 | 67641 | 2 | 2.360 | 28661.4 |
380 | 2025-08-09 13:17:41 | predicting | 1 | 67641 | 2 | 2.860 | 23650.7 |
379 | 2025-08-09 09:02:43 | predicting | 1 | 67641 | 2 | 3.216 | 21032.6 |
378 | 2025-08-06 03:48:10 | predicting | 1 | 67641 | 2 | 6.310 | 10719.7 |
377 | 2025-07-25 07:04:50 | predicting | 1 | 67641 | 2 | 5.000 | 13528.2 |
376 | 2025-07-19 08:02:44 | predicting | 1 | 67641 | 2 | 1.516 | 44618.1 |
375 | 2025-07-14 08:13:08 | predicting | 2 | 108824 | 12 | 16.390 | 6639.7 |
374 | 2025-07-13 16:58:10 | predicting | 2 | 108824 | 12 | 3.376 | 32234.6 |
373 | 2025-07-13 11:33:40 | predicting | 1 | 67641 | 2 | 1.250 | 54112.8 |
372 | 2025-07-13 00:27:13 | predicting | 1 | 67641 | 2 | 2.843 | 23792.1 |
371 | 2025-07-11 01:29:59 | predicting | 3 | 140603 | 130 | 29.300 | 4798.7 |
370 | 2025-07-10 15:53:41 | predicting | 3 | 140603 | 130 | 43.190 | 3255.5 |
369 | 2025-07-10 02:18:28 | predicting | 3 | 140603 | 130 | 34.096 | 4123.7 |
368 | 2025-07-07 12:16:34 | predicting | 3 | 140603 | 130 | 17.156 | 8195.6 |
367 | 2025-07-04 12:41:20 | predicting | 1 | 67641 | 2 | 3.203 | 21118.0 |
366 | 2025-06-26 08:14:37 | predicting | 1 | 67641 | 2 | 8.016 | 8438.2 |
365 | 2025-06-23 16:56:04 | predicting | 1 | 67641 | 2 | 1.063 | 63632.2 |
364 | 2025-06-18 16:37:27 | predicting | 1 | 67641 | 2 | 5.703 | 11860.6 |
363 | 2025-06-16 20:20:01 | predicting | 1 | 67641 | 2 | 5.846 | 11570.5 |
362 | 2025-06-08 11:12:28 | predicting | 2 | 108824 | 12 | 8.250 | 13190.8 |
361 | 2025-06-08 00:12:01 | predicting | 1 | 67641 | 2 | 6.483 | 10433.6 |
360 | 2025-06-07 01:30:57 | predicting | 1 | 67641 | 2 | 8.813 | 7675.1 |
359 | 2025-06-06 12:42:09 | predicting | 2 | 108824 | 12 | 16.686 | 6521.9 |
358 | 2025-06-01 14:54:54 | predicting | 2 | 108824 | 12 | 3.640 | 29896.7 |
357 | 2025-05-31 12:34:48 | predicting | 1 | 67641 | 2 | 2.953 | 22905.9 |
356 | 2025-05-29 01:12:45 | predicting | 1 | 67641 | 2 | 2.986 | 22652.7 |
355 | 2025-05-27 15:31:22 | predicting | 1 | 67641 | 2 | 6.080 | 11125.2 |
354 | 2025-05-24 06:49:19 | predicting | 1 | 67641 | 2 | 5.766 | 11731.0 |
353 | 2025-05-23 13:09:30 | predicting | 3 | 140603 | 130 | 39.796 | 3533.1 |
352 | 2025-05-20 00:03:58 | predicting | 3 | 140603 | 130 | 36.160 | 3888.4 |
351 | 2025-05-18 16:17:35 | predicting | 2 | 108824 | 12 | 9.686 | 11235.2 |
350 | 2025-05-18 08:38:09 | predicting | 1 | 67641 | 2 | 7.766 | 8709.9 |
349 | 2025-05-17 16:46:21 | predicting | 1 | 67641 | 2 | 1.063 | 63632.2 |
348 | 2025-05-14 02:45:01 | predicting | 3 | 140603 | 130 | 26.986 | 5210.2 |
347 | 2025-05-12 13:43:27 | predicting | 3 | 140603 | 130 | 32.206 | 4365.7 |
346 | 2025-05-10 17:47:04 | predicting | 3 | 140603 | 130 | 18.563 | 7574.4 |
345 | 2025-05-10 05:16:16 | predicting | 2 | 108824 | 12 | 11.623 | 9362.8 |
344 | 2025-05-09 11:43:18 | predicting | 3 | 140603 | 130 | 6.296 | 22332.1 |
343 | 2025-05-08 00:12:00 | predicting | 1 | 67641 | 2 | 7.626 | 8869.8 |
342 | 2025-05-07 14:55:45 | predicting | 3 | 140603 | 130 | 6.013 | 23383.2 |
341 | 2025-05-07 14:43:20 | predicting | 1 | 67641 | 2 | 1.263 | 53555.8 |
340 | 2025-04-30 12:28:34 | predicting | 1 | 67641 | 2 | 2.983 | 22675.5 |
339 | 2025-04-25 01:54:49 | predicting | 2 | 108824 | 12 | 6.343 | 17156.6 |
338 | 2025-04-23 06:20:53 | predicting | 1 | 67641 | 2 | 5.593 | 12093.9 |
337 | 2025-04-22 19:16:33 | predicting | 1 | 67641 | 2 | 1.093 | 61885.6 |
336 | 2025-04-22 04:54:34 | predicting | 1 | 67641 | 2 | 1.250 | 54112.8 |
335 | 2025-04-17 23:03:28 | predicting | 3 | 140603 | 130 | 20.406 | 6890.3 |
334 | 2025-04-12 21:54:04 | predicting | 2 | 108824 | 12 | 13.456 | 8087.4 |
333 | 2025-04-09 10:44:17 | predicting | 2 | 108824 | 12 | 12.156 | 8952.3 |
332 | 2025-04-08 15:49:08 | predicting | 3 | 140603 | 130 | 6.546 | 21479.2 |
331 | 2025-04-08 15:18:21 | predicting | 1 | 67641 | 2 | 5.576 | 12130.7 |
330 | 2025-04-07 11:28:52 | predicting | 3 | 140603 | 130 | 18.893 | 7442.1 |
329 | 2025-04-05 11:50:47 | predicting | 3 | 140603 | 130 | 11.923 | 11792.6 |
328 | 2025-04-04 01:27:30 | predicting | 1 | 67641 | 2 | 3.843 | 17601.1 |
327 | 2025-04-03 12:29:10 | predicting | 3 | 140603 | 130 | 23.113 | 6083.3 |
326 | 2025-04-03 04:00:37 | predicting | 2 | 108824 | 12 | 12.466 | 8729.7 |
325 | 2025-04-01 23:54:43 | predicting | 1 | 67641 | 2 | 3.686 | 18350.8 |
324 | 2025-03-31 09:36:03 | predicting | 1 | 67641 | 2 | 6.076 | 11132.5 |
323 | 2025-03-23 08:27:19 | predicting | 1 | 67641 | 2 | 8.423 | 8030.5 |
322 | 2025-03-20 14:53:41 | predicting | 1 | 67641 | 2 | 5.550 | 12187.6 |
321 | 2025-03-15 14:28:07 | predicting | 1 | 67641 | 2 | 5.610 | 12057.2 |
320 | 2025-03-08 18:16:52 | predicting | 3 | 140603 | 130 | 37.813 | 3718.4 |
319 | 2025-03-05 22:18:30 | predicting | 1 | 67641 | 2 | 5.810 | 11642.2 |
318 | 2025-02-24 05:57:13 | predicting | 2 | 108824 | 12 | 16.080 | 6767.7 |
317 | 2025-02-24 05:54:45 | predicting | 1 | 67641 | 2 | 6.046 | 11187.7 |
316 | 2025-02-23 18:37:08 | predicting | 1 | 67641 | 2 | 5.826 | 11610.2 |
315 | 2025-02-22 05:54:10 | predicting | 1 | 67641 | 2 | 3.123 | 21659.0 |
314 | 2025-02-18 13:14:37 | predicting | 3 | 140603 | 130 | 34.546 | 4070.0 |
313 | 2025-02-18 10:41:52 | predicting | 3 | 140603 | 130 | 44.296 | 3174.2 |
312 | 2025-02-17 13:47:48 | predicting | 3 | 140603 | 130 | 33.266 | 4226.6 |
311 | 2025-02-17 12:49:35 | predicting | 3 | 140603 | 130 | 41.626 | 3377.8 |
310 | 2025-02-17 12:48:17 | predicting | 2 | 108824 | 12 | 15.860 | 6861.5 |
309 | 2025-02-17 12:48:13 | predicting | 1 | 67641 | 2 | 2.780 | 24331.3 |
308 | 2025-02-05 15:07:45 | predicting | 2 | 108824 | 12 | 14.890 | 7308.5 |
307 | 2025-01-23 05:58:21 | predicting | 1 | 67641 | 2 | 2.563 | 26391.3 |
306 | 2025-01-15 13:19:39 | predicting | 3 | 140603 | 130 | 52.080 | 2699.8 |
305 | 2025-01-11 23:53:22 | predicting | 3 | 140603 | 130 | 35.830 | 3924.2 |
304 | 2025-01-11 21:49:42 | predicting | 3 | 140603 | 130 | 49.253 | 2854.7 |
303 | 2025-01-11 16:48:57 | predicting | 3 | 140603 | 130 | 46.643 | 3014.5 |
302 | 2025-01-11 16:49:05 | predicting | 2 | 108824 | 12 | 16.283 | 6683.3 |
301 | 2025-01-11 16:47:47 | predicting | 1 | 67641 | 2 | 5.576 | 12130.7 |
300 | 2025-01-10 03:35:48 | predicting | 1 | 67641 | 2 | 2.796 | 24192.1 |
299 | 2024-12-25 20:10:58 | predicting | 2 | 108824 | 12 | 13.393 | 8125.4 |
298 | 2024-12-25 20:07:57 | predicting | 1 | 67641 | 2 | 3.780 | 17894.4 |
297 | 2024-12-11 15:29:07 | predicting | 1 | 67641 | 2 | 5.766 | 11731.0 |
296 | 2024-12-10 03:33:30 | predicting | 2 | 108824 | 12 | 19.516 | 5576.1 |
295 | 2024-12-09 06:53:28 | predicting | 2 | 108824 | 12 | 24.023 | 4530.0 |
294 | 2024-12-09 06:52:21 | predicting | 1 | 67641 | 2 | 8.236 | 8212.8 |
293 | 2024-12-08 15:11:35 | predicting | 3 | 140603 | 130 | 32.516 | 4324.1 |
292 | 2024-12-05 01:57:31 | predicting | 1 | 67641 | 2 | 8.216 | 8232.8 |
291 | 2024-12-04 21:48:08 | predicting | 3 | 140603 | 130 | 36.970 | 3803.2 |
290 | 2024-12-02 06:38:27 | predicting | 3 | 140603 | 130 | 43.190 | 3255.5 |
289 | 2024-11-11 14:28:51 | predicting | 1 | 67641 | 2 | 2.716 | 24904.6 |
288 | 2024-11-09 10:49:57 | predicting | 1 | 67641 | 2 | 7.986 | 8469.9 |
287 | 2024-11-05 10:17:39 | predicting | 3 | 140603 | 130 | 32.456 | 4332.1 |
286 | 2024-11-04 14:37:23 | predicting | 3 | 140603 | 130 | 30.893 | 4551.3 |
285 | 2024-11-03 11:17:29 | predicting | 3 | 140603 | 130 | 29.906 | 4701.5 |
284 | 2024-11-03 11:17:32 | predicting | 2 | 108824 | 12 | 16.233 | 6703.9 |
283 | 2024-11-03 11:14:58 | predicting | 1 | 67641 | 2 | 5.533 | 12225.0 |
282 | 2024-11-01 20:27:21 | predicting | 1 | 67641 | 2 | 5.733 | 11798.5 |