History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sparkliest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
383 | 2025-05-13 03:28:30 | sparkliest | 1 | 67641 | 2 | 1.203 | 56226.9 |
382 | 2025-05-12 20:08:01 | sparkliest | 4 | 161450 | 394 | 11.750 | 13740.4 |
381 | 2025-05-12 09:38:41 | sparkliest | 4 | 161450 | 394 | 54.300 | 2973.3 |
380 | 2025-05-10 07:50:57 | sparkliest | 4 | 161450 | 394 | 74.270 | 2173.8 |
379 | 2025-05-10 07:33:49 | sparkliest | 1 | 67641 | 2 | 5.736 | 11792.4 |
378 | 2025-05-09 09:29:50 | sparkliest | 4 | 161450 | 394 | 13.360 | 12084.6 |
377 | 2025-05-07 05:48:28 | sparkliest | 1 | 67641 | 2 | 1.140 | 59334.2 |
376 | 2025-05-05 20:09:57 | sparkliest | 1 | 67641 | 2 | 5.610 | 12057.2 |
375 | 2025-05-05 03:14:12 | sparkliest | 1 | 67641 | 2 | 1.263 | 53555.8 |
374 | 2025-05-02 02:39:00 | sparkliest | 1 | 67641 | 2 | 5.376 | 12582.0 |
373 | 2025-05-01 21:17:46 | sparkliest | 3 | 140603 | 71 | 19.500 | 7210.4 |
372 | 2025-04-29 06:47:10 | sparkliest | 3 | 140603 | 71 | 48.040 | 2926.8 |
371 | 2025-04-23 11:13:30 | sparkliest | 1 | 67641 | 2 | 5.796 | 11670.3 |
370 | 2025-04-15 22:46:12 | sparkliest | 1 | 67641 | 2 | 8.470 | 7986.0 |
369 | 2025-04-09 19:38:16 | sparkliest | 2 | 108824 | 13 | 7.750 | 14041.8 |
368 | 2025-04-09 19:17:45 | sparkliest | 3 | 140603 | 71 | 32.080 | 4382.9 |
367 | 2025-04-09 05:21:06 | sparkliest | 3 | 140603 | 71 | 33.516 | 4195.1 |
366 | 2025-04-07 12:04:57 | sparkliest | 3 | 140603 | 71 | 6.233 | 22557.8 |
365 | 2025-04-07 09:23:32 | sparkliest | 2 | 108824 | 13 | 13.110 | 8300.8 |
364 | 2025-04-06 05:37:13 | sparkliest | 1 | 67641 | 2 | 3.033 | 22301.7 |
363 | 2025-04-01 20:12:01 | sparkliest | 1 | 67641 | 2 | 2.953 | 22905.9 |
362 | 2025-03-29 04:01:27 | sparkliest | 1 | 67641 | 2 | 8.186 | 8263.0 |
361 | 2025-03-27 11:05:19 | sparkliest | 4 | 161450 | 394 | 65.580 | 2461.9 |
360 | 2025-03-27 10:58:35 | sparkliest | 4 | 161450 | 394 | 77.223 | 2090.7 |
359 | 2025-03-25 18:05:10 | sparkliest | 4 | 161450 | 394 | 38.910 | 4149.3 |
358 | 2025-03-25 16:18:13 | sparkliest | 4 | 161450 | 394 | 54.893 | 2941.2 |
357 | 2025-03-22 12:06:07 | sparkliest | 1 | 67641 | 2 | 2.920 | 23164.7 |
356 | 2025-03-21 23:38:00 | sparkliest | 2 | 108824 | 13 | 3.046 | 35726.9 |
355 | 2025-03-09 03:45:46 | sparkliest | 4 | 161450 | 394 | 61.380 | 2630.3 |
354 | 2025-03-05 12:48:42 | sparkliest | 2 | 108824 | 13 | 17.343 | 6274.8 |
353 | 2025-03-05 12:39:09 | sparkliest | 1 | 67641 | 2 | 6.843 | 9884.7 |
352 | 2025-03-04 05:10:58 | sparkliest | 3 | 140603 | 71 | 24.766 | 5677.3 |
351 | 2025-03-02 19:41:06 | sparkliest | 3 | 140603 | 71 | 46.703 | 3010.6 |
350 | 2025-03-02 03:23:56 | sparkliest | 4 | 161450 | 394 | 67.176 | 2403.4 |
349 | 2025-03-02 03:23:51 | sparkliest | 3 | 140603 | 71 | 33.596 | 4185.1 |
348 | 2025-03-02 03:23:48 | sparkliest | 2 | 108824 | 13 | 8.233 | 13218.0 |
347 | 2025-03-02 01:48:24 | sparkliest | 1 | 67641 | 2 | 1.046 | 64666.3 |
346 | 2025-02-25 17:36:38 | sparkliest | 1 | 67641 | 2 | 1.203 | 56226.9 |
345 | 2025-02-18 16:29:30 | sparkliest | 4 | 161450 | 394 | 68.800 | 2346.7 |
344 | 2025-02-16 15:02:58 | sparkliest | 4 | 161450 | 394 | 37.876 | 4262.6 |
343 | 2025-02-16 15:02:57 | sparkliest | 2 | 108824 | 13 | 12.376 | 8793.1 |
342 | 2025-02-16 15:02:34 | sparkliest | 1 | 67641 | 2 | 5.530 | 12231.6 |
341 | 2025-02-08 22:13:30 | sparkliest | 3 | 140603 | 71 | 28.626 | 4911.7 |
340 | 2025-02-08 15:57:30 | sparkliest | 3 | 140603 | 71 | 42.036 | 3344.8 |
339 | 2025-02-02 14:27:53 | sparkliest | 1 | 67641 | 2 | 5.953 | 11362.5 |
338 | 2025-01-29 19:14:50 | sparkliest | 1 | 67641 | 2 | 1.123 | 60232.4 |
337 | 2025-01-22 20:12:40 | sparkliest | 3 | 140603 | 71 | 17.330 | 8113.3 |
336 | 2025-01-20 17:47:17 | sparkliest | 3 | 140603 | 71 | 28.453 | 4941.6 |
335 | 2025-01-20 00:28:43 | sparkliest | 3 | 140603 | 71 | 33.863 | 4152.1 |
334 | 2025-01-15 10:32:30 | sparkliest | 2 | 108824 | 13 | 15.983 | 6808.7 |
333 | 2025-01-15 10:32:28 | sparkliest | 3 | 140603 | 71 | 16.923 | 8308.4 |
332 | 2025-01-15 09:04:21 | sparkliest | 1 | 67641 | 2 | 2.483 | 27241.6 |
331 | 2025-01-01 05:29:18 | sparkliest | 2 | 108824 | 13 | 15.646 | 6955.4 |
330 | 2024-12-30 09:33:49 | sparkliest | 3 | 140603 | 71 | 45.436 | 3094.5 |
329 | 2024-12-29 21:02:59 | sparkliest | 2 | 108824 | 13 | 16.390 | 6639.7 |
328 | 2024-12-29 21:02:16 | sparkliest | 3 | 140603 | 71 | 31.766 | 4426.2 |
327 | 2024-12-29 20:59:24 | sparkliest | 1 | 67641 | 2 | 1.596 | 42381.6 |
326 | 2024-12-29 17:41:06 | sparkliest | 1 | 67641 | 2 | 8.233 | 8215.8 |
325 | 2024-12-28 15:48:08 | sparkliest | 1 | 67641 | 2 | 1.063 | 63632.2 |
324 | 2024-12-19 19:40:02 | sparkliest | 3 | 140603 | 71 | 48.440 | 2902.6 |
323 | 2024-12-18 03:20:27 | sparkliest | 3 | 140603 | 71 | 27.876 | 5043.9 |
322 | 2024-12-06 07:38:55 | sparkliest | 1 | 67641 | 2 | 3.046 | 22206.5 |
321 | 2024-11-25 17:09:06 | sparkliest | 3 | 140603 | 71 | 36.503 | 3851.8 |
320 | 2024-11-25 17:09:01 | sparkliest | 3 | 140603 | 71 | 25.330 | 5550.8 |
319 | 2024-11-25 17:09:05 | sparkliest | 2 | 108824 | 13 | 8.000 | 13603.0 |
318 | 2024-11-25 12:56:41 | sparkliest | 1 | 67641 | 2 | 1.470 | 46014.3 |
317 | 2024-11-15 21:34:04 | sparkliest | 3 | 140603 | 71 | 40.376 | 3482.3 |
316 | 2024-11-13 18:25:16 | sparkliest | 3 | 140603 | 71 | 31.563 | 4454.7 |
315 | 2024-11-11 19:01:39 | sparkliest | 3 | 140603 | 71 | 31.380 | 4480.7 |
314 | 2024-11-11 12:07:55 | sparkliest | 3 | 140603 | 71 | 40.580 | 3464.8 |
313 | 2024-11-11 12:07:55 | sparkliest | 2 | 108824 | 13 | 20.360 | 5345.0 |
312 | 2024-11-11 04:58:40 | sparkliest | 1 | 67641 | 2 | 1.283 | 52721.0 |
311 | 2024-10-29 01:33:40 | sparkliest | 1 | 67641 | 2 | 5.796 | 11670.3 |
310 | 2024-10-22 02:05:43 | sparkliest | 3 | 140603 | 71 | 52.706 | 2667.7 |
309 | 2024-10-22 02:05:44 | sparkliest | 2 | 108824 | 13 | 29.236 | 3722.3 |
308 | 2024-10-22 01:45:53 | sparkliest | 1 | 67641 | 2 | 1.076 | 62863.4 |
307 | 2024-10-17 00:12:12 | sparkliest | 2 | 108824 | 13 | 14.733 | 7386.4 |
306 | 2024-10-17 00:11:15 | sparkliest | 3 | 140603 | 71 | 35.046 | 4012.0 |
305 | 2024-10-17 00:06:56 | sparkliest | 1 | 67641 | 2 | 7.033 | 9617.7 |
304 | 2024-10-15 01:03:50 | sparkliest | 3 | 140603 | 71 | 42.860 | 3280.5 |
303 | 2024-10-10 10:41:56 | sparkliest | 3 | 140603 | 71 | 30.000 | 4686.8 |
302 | 2024-10-10 10:41:57 | sparkliest | 2 | 108824 | 13 | 12.846 | 8471.4 |
301 | 2024-10-10 09:21:33 | sparkliest | 1 | 67641 | 2 | 2.346 | 28832.5 |
300 | 2024-10-06 17:47:41 | sparkliest | 3 | 140603 | 71 | 45.613 | 3082.5 |
299 | 2024-09-06 08:17:17 | sparkliest | 3 | 140603 | 71 | 53.730 | 2616.8 |
298 | 2024-09-05 18:50:41 | sparkliest | 3 | 140603 | 71 | 60.456 | 2325.7 |
297 | 2024-09-05 18:50:42 | sparkliest | 2 | 108824 | 13 | 19.923 | 5462.2 |
296 | 2024-09-05 18:46:25 | sparkliest | 1 | 67641 | 2 | 6.830 | 9903.5 |
295 | 2024-09-05 18:05:06 | sparkliest | 1 | 67641 | 2 | 6.920 | 9774.7 |
294 | 2024-08-14 05:27:40 | sparkliest | 3 | 140603 | 71 | 52.146 | 2696.3 |
293 | 2024-08-09 19:02:34 | sparkliest | 1 | 67641 | 2 | 4.703 | 14382.5 |
292 | 2024-08-09 18:49:05 | sparkliest | 1 | 67641 | 2 | 2.143 | 31563.7 |
291 | 2024-07-26 06:06:10 | sparkliest | 2 | 108824 | 13 | 5.733 | 18982.0 |
290 | 2024-07-23 15:31:44 | sparkliest | 3 | 140603 | 71 | 30.863 | 4555.7 |
289 | 2024-07-21 13:47:02 | sparkliest | 3 | 140603 | 71 | 21.673 | 6487.5 |
288 | 2024-07-21 13:47:02 | sparkliest | 2 | 108824 | 13 | 17.470 | 6229.2 |
287 | 2024-07-21 13:41:24 | sparkliest | 1 | 67641 | 2 | 2.890 | 23405.2 |
286 | 2024-07-20 14:51:46 | sparkliest | 1 | 67641 | 2 | 4.140 | 16338.4 |
285 | 2024-07-19 09:54:24 | sparkliest | 1 | 67641 | 2 | 4.436 | 15248.2 |
284 | 2024-07-07 08:39:09 | sparkliest | 1 | 67641 | 2 | 5.390 | 12549.4 |