History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predictor"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
364 | 2025-07-20 02:25:57 | predictor | 3 | 148641 | 55 | 7.500 | 19818.8 |
363 | 2025-07-19 12:47:20 | predictor | 1 | 81242 | 2 | 1.466 | 55417.5 |
362 | 2025-07-13 12:43:34 | predictor | 1 | 81242 | 2 | 1.483 | 54782.2 |
361 | 2025-07-10 14:12:18 | predictor | 1 | 81242 | 2 | 3.686 | 22040.7 |
360 | 2025-07-09 07:38:49 | predictor | 1 | 81242 | 2 | 1.716 | 47343.8 |
359 | 2025-06-25 23:44:24 | predictor | 1 | 81242 | 2 | 4.096 | 19834.5 |
358 | 2025-06-18 02:34:58 | predictor | 3 | 148641 | 55 | 36.046 | 4123.6 |
357 | 2025-06-17 18:39:54 | predictor | 1 | 81242 | 2 | 1.516 | 53589.7 |
356 | 2025-06-16 01:07:59 | predictor | 2 | 121436 | 12 | 12.236 | 9924.5 |
355 | 2025-06-15 15:49:33 | predictor | 3 | 148641 | 55 | 6.780 | 21923.5 |
354 | 2025-06-14 14:41:00 | predictor | 1 | 81242 | 2 | 9.503 | 8549.1 |
353 | 2025-06-10 11:06:41 | predictor | 3 | 148641 | 55 | 34.706 | 4282.9 |
352 | 2025-06-09 22:03:30 | predictor | 2 | 121436 | 12 | 17.126 | 7090.7 |
351 | 2025-06-08 01:28:18 | predictor | 2 | 121436 | 12 | 15.046 | 8071.0 |
350 | 2025-06-07 22:42:27 | predictor | 3 | 148641 | 55 | 19.296 | 7703.2 |
349 | 2025-06-07 11:44:56 | predictor | 1 | 81242 | 2 | 8.843 | 9187.2 |
348 | 2025-06-01 05:39:25 | predictor | 3 | 148641 | 55 | 39.686 | 3745.4 |
347 | 2025-05-29 01:21:08 | predictor | 1 | 81242 | 2 | 6.953 | 11684.5 |
346 | 2025-05-26 00:09:21 | predictor | 1 | 81242 | 2 | 6.766 | 12007.4 |
345 | 2025-05-18 03:59:24 | predictor | 1 | 81242 | 2 | 3.610 | 22504.7 |
344 | 2025-05-15 17:42:33 | predictor | 1 | 81242 | 2 | 1.533 | 52995.4 |
343 | 2025-05-13 22:56:33 | predictor | 1 | 81242 | 2 | 10.360 | 7841.9 |
342 | 2025-05-12 20:34:10 | predictor | 3 | 148641 | 55 | 7.640 | 19455.6 |
341 | 2025-05-12 06:59:39 | predictor | 2 | 121436 | 12 | 18.486 | 6569.1 |
340 | 2025-05-04 11:36:10 | predictor | 1 | 81242 | 2 | 3.530 | 23014.7 |
339 | 2025-05-04 05:50:10 | predictor | 1 | 81242 | 2 | 6.623 | 12266.6 |
338 | 2025-04-30 13:52:13 | predictor | 1 | 81242 | 2 | 5.500 | 14771.3 |
337 | 2025-04-29 13:24:04 | predictor | 1 | 81242 | 2 | 5.500 | 14771.3 |
336 | 2025-04-26 01:50:34 | predictor | 3 | 148641 | 55 | 41.970 | 3541.6 |
335 | 2025-04-25 20:16:52 | predictor | 3 | 148641 | 55 | 7.763 | 19147.4 |
334 | 2025-04-23 08:06:36 | predictor | 3 | 148641 | 55 | 37.000 | 4017.3 |
333 | 2025-04-23 00:03:51 | predictor | 1 | 81242 | 2 | 6.453 | 12589.8 |
332 | 2025-04-21 00:31:23 | predictor | 3 | 148641 | 55 | 37.190 | 3996.8 |
331 | 2025-04-13 17:30:35 | predictor | 3 | 148641 | 55 | 8.360 | 17780.0 |
330 | 2025-03-23 16:23:03 | predictor | 3 | 148641 | 55 | 52.296 | 2842.3 |
329 | 2025-03-23 15:03:40 | predictor | 2 | 121436 | 12 | 24.906 | 4875.8 |
328 | 2025-03-22 23:27:34 | predictor | 2 | 121436 | 12 | 18.453 | 6580.8 |
327 | 2025-03-22 15:39:44 | predictor | 1 | 81242 | 2 | 6.796 | 11954.4 |
326 | 2025-03-22 06:34:35 | predictor | 1 | 81242 | 2 | 1.546 | 52549.8 |
325 | 2025-03-22 01:00:11 | predictor | 1 | 81242 | 2 | 3.983 | 20397.2 |
324 | 2025-03-21 18:38:07 | predictor | 2 | 121436 | 12 | 18.160 | 6687.0 |
323 | 2025-03-18 02:38:35 | predictor | 2 | 121436 | 12 | 15.156 | 8012.4 |
322 | 2025-03-14 08:37:58 | predictor | 3 | 148641 | 55 | 35.143 | 4229.6 |
321 | 2025-03-13 15:18:11 | predictor | 2 | 121436 | 12 | 21.346 | 5688.9 |
320 | 2025-03-13 15:17:52 | predictor | 3 | 148641 | 55 | 35.546 | 4181.7 |
319 | 2025-03-13 15:14:18 | predictor | 1 | 81242 | 2 | 6.076 | 13371.0 |
318 | 2025-03-11 12:55:11 | predictor | 3 | 148641 | 55 | 62.436 | 2380.7 |
317 | 2025-03-09 21:57:17 | predictor | 3 | 148641 | 55 | 55.750 | 2666.2 |
316 | 2025-03-06 14:04:32 | predictor | 3 | 148641 | 55 | 32.690 | 4547.0 |
315 | 2025-02-25 08:31:45 | predictor | 1 | 81242 | 2 | 1.423 | 57092.1 |
314 | 2025-02-23 15:45:55 | predictor | 1 | 81242 | 2 | 6.890 | 11791.3 |
313 | 2025-02-05 04:44:04 | predictor | 1 | 81242 | 2 | 6.580 | 12346.8 |
312 | 2025-02-02 23:43:55 | predictor | 3 | 148641 | 55 | 32.253 | 4608.6 |
311 | 2025-01-28 05:12:22 | predictor | 2 | 121436 | 12 | 23.003 | 5279.1 |
310 | 2025-01-27 05:19:56 | predictor | 3 | 148641 | 55 | 42.970 | 3459.2 |
309 | 2025-01-27 05:20:00 | predictor | 2 | 121436 | 12 | 24.673 | 4921.8 |
308 | 2025-01-27 05:19:57 | predictor | 3 | 148641 | 55 | 19.236 | 7727.2 |
307 | 2025-01-27 02:28:43 | predictor | 1 | 81242 | 2 | 1.250 | 64993.6 |
306 | 2025-01-03 20:08:09 | predictor | 1 | 81242 | 2 | 3.450 | 23548.4 |
305 | 2024-12-28 07:20:38 | predictor | 1 | 81242 | 2 | 3.560 | 22820.8 |
304 | 2024-12-26 00:16:56 | predictor | 1 | 81242 | 2 | 7.296 | 11135.1 |
303 | 2024-12-02 19:14:17 | predictor | 1 | 81242 | 2 | 1.533 | 52995.4 |
302 | 2024-11-30 06:35:06 | predictor | 2 | 121436 | 12 | 21.813 | 5567.1 |
301 | 2024-11-25 10:19:42 | predictor | 2 | 121436 | 12 | 3.670 | 33088.8 |
300 | 2024-11-21 04:22:11 | predictor | 1 | 81242 | 2 | 6.736 | 12060.9 |
299 | 2024-11-17 04:18:00 | predictor | 2 | 121436 | 12 | 31.176 | 3895.2 |
298 | 2024-11-16 07:54:30 | predictor | 2 | 121436 | 12 | 25.143 | 4829.8 |
297 | 2024-11-16 07:17:49 | predictor | 1 | 81242 | 2 | 1.453 | 55913.3 |
296 | 2024-11-14 18:42:43 | predictor | 1 | 81242 | 2 | 3.986 | 20381.8 |
295 | 2024-11-06 11:10:32 | predictor | 3 | 148641 | 55 | 49.126 | 3025.7 |
294 | 2024-10-29 17:56:29 | predictor | 2 | 121436 | 12 | 26.436 | 4593.6 |
293 | 2024-10-29 17:22:15 | predictor | 1 | 81242 | 2 | 7.160 | 11346.6 |
292 | 2024-10-29 08:48:23 | predictor | 3 | 148641 | 55 | 54.440 | 2730.4 |
291 | 2024-10-29 07:15:31 | predictor | 3 | 148641 | 55 | 45.046 | 3299.8 |
290 | 2024-10-29 07:15:21 | predictor | 3 | 148641 | 55 | 31.110 | 4777.9 |
289 | 2024-10-29 07:15:22 | predictor | 2 | 121436 | 12 | 18.626 | 6519.7 |
288 | 2024-10-23 14:40:18 | predictor | 1 | 81242 | 2 | 3.330 | 24397.0 |
287 | 2024-10-19 11:41:28 | predictor | 1 | 81242 | 2 | 8.050 | 10092.2 |
286 | 2024-10-15 06:27:04 | predictor | 1 | 81242 | 2 | 10.530 | 7715.3 |
285 | 2024-10-10 23:15:13 | predictor | 1 | 81242 | 2 | 6.783 | 11977.3 |
284 | 2024-09-17 17:23:33 | predictor | 3 | 148641 | 55 | 52.503 | 2831.1 |
283 | 2024-09-17 12:49:00 | predictor | 3 | 148641 | 55 | 34.970 | 4250.5 |
282 | 2024-09-17 12:49:02 | predictor | 2 | 121436 | 12 | 25.610 | 4741.7 |
281 | 2024-09-13 18:32:05 | predictor | 2 | 121436 | 12 | 25.080 | 4841.9 |
280 | 2024-09-12 18:18:42 | predictor | 3 | 148641 | 55 | 67.563 | 2200.0 |
279 | 2024-09-11 06:06:06 | predictor | 3 | 148641 | 55 | 51.520 | 2885.1 |
278 | 2024-09-11 06:06:08 | predictor | 2 | 121436 | 12 | 14.780 | 8216.2 |
277 | 2024-09-11 06:04:00 | predictor | 1 | 81242 | 2 | 8.030 | 10117.3 |
276 | 2024-09-09 16:16:44 | predictor | 1 | 81242 | 2 | 12.313 | 6598.1 |
275 | 2024-08-19 09:00:52 | predictor | 1 | 81242 | 2 | 14.923 | 5444.1 |
274 | 2024-08-16 17:38:17 | predictor | 1 | 81242 | 2 | 8.313 | 9772.9 |
273 | 2024-08-15 08:38:19 | predictor | 3 | 148641 | 55 | 65.240 | 2278.4 |
272 | 2024-08-13 18:24:12 | predictor | 4 | 165329 | 311 | 103.893 | 1591.3 |
271 | 2024-08-13 18:24:17 | predictor | 3 | 148641 | 55 | 98.643 | 1506.9 |
270 | 2024-08-13 12:35:02 | predictor | 1 | 81242 | 2 | 7.063 | 11502.5 |
269 | 2024-08-13 09:52:08 | predictor | 1 | 81242 | 2 | 9.203 | 8827.8 |
268 | 2024-08-10 11:18:12 | predictor | 3 | 148641 | 55 | 27.080 | 5489.0 |
267 | 2024-08-10 11:18:09 | predictor | 2 | 121436 | 12 | 7.330 | 16567.0 |
266 | 2024-08-10 08:09:13 | predictor | 1 | 81242 | 2 | 2.876 | 28248.3 |
265 | 2024-08-08 18:16:33 | predictor | 3 | 148641 | 55 | 25.626 | 5800.4 |