History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"workhorses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
340 | 2025-08-25 05:42:42 | workhorses | 1 | 67641 | 3 | 2.453 | 27574.8 |
339 | 2025-08-23 13:52:44 | workhorses | 2 | 108824 | 7 | 11.566 | 9409.0 |
338 | 2025-08-20 00:02:15 | workhorses | 3 | 140603 | 22 | 6.283 | 22378.3 |
337 | 2025-08-19 23:16:56 | workhorses | 2 | 108824 | 7 | 2.983 | 36481.4 |
336 | 2025-08-11 15:35:26 | workhorses | 4 | 161450 | 125 | 53.330 | 3027.4 |
335 | 2025-08-09 03:25:21 | workhorses | 1 | 67641 | 3 | 5.373 | 12589.1 |
334 | 2025-07-29 05:05:52 | workhorses | 4 | 161450 | 125 | 38.363 | 4208.5 |
333 | 2025-07-25 00:03:39 | workhorses | 1 | 67641 | 3 | 5.140 | 13159.7 |
332 | 2025-07-24 15:50:16 | workhorses | 1 | 67641 | 3 | 3.596 | 18810.1 |
331 | 2025-07-23 20:30:42 | workhorses | 4 | 161450 | 125 | 41.033 | 3934.6 |
330 | 2025-07-23 05:29:05 | workhorses | 4 | 161450 | 125 | 43.490 | 3712.3 |
329 | 2025-07-22 13:52:25 | workhorses | 1 | 67641 | 3 | 2.453 | 27574.8 |
328 | 2025-07-17 14:51:22 | workhorses | 1 | 67641 | 3 | 2.750 | 24596.7 |
327 | 2025-07-16 01:59:45 | workhorses | 1 | 67641 | 3 | 1.140 | 59334.2 |
326 | 2025-07-05 01:33:56 | workhorses | 4 | 161450 | 125 | 47.670 | 3386.8 |
325 | 2025-07-03 10:10:34 | workhorses | 4 | 161450 | 125 | 65.666 | 2458.7 |
324 | 2025-07-02 06:58:03 | workhorses | 4 | 161450 | 125 | 59.456 | 2715.5 |
323 | 2025-06-26 21:26:08 | workhorses | 4 | 161450 | 125 | 55.176 | 2926.1 |
322 | 2025-06-21 00:39:38 | workhorses | 2 | 108824 | 7 | 12.986 | 8380.1 |
321 | 2025-06-20 16:20:07 | workhorses | 1 | 67641 | 3 | 8.360 | 8091.0 |
320 | 2025-06-16 13:12:41 | workhorses | 3 | 140603 | 22 | 25.470 | 5520.3 |
319 | 2025-06-16 00:43:29 | workhorses | 3 | 140603 | 22 | 32.266 | 4357.6 |
318 | 2025-06-16 00:22:24 | workhorses | 2 | 108824 | 7 | 8.186 | 13293.9 |
317 | 2025-06-15 19:59:33 | workhorses | 4 | 161450 | 125 | 44.220 | 3651.1 |
316 | 2025-06-15 06:12:36 | workhorses | 1 | 67641 | 3 | 1.126 | 60071.9 |
315 | 2025-06-14 16:25:43 | workhorses | 4 | 161450 | 125 | 48.566 | 3324.3 |
314 | 2025-06-10 10:01:50 | workhorses | 1 | 67641 | 3 | 2.970 | 22774.7 |
313 | 2025-06-06 15:59:18 | workhorses | 4 | 161450 | 125 | 52.706 | 3063.2 |
312 | 2025-06-04 02:01:03 | workhorses | 1 | 67641 | 3 | 3.516 | 19238.1 |
311 | 2025-05-31 14:13:49 | workhorses | 1 | 67641 | 3 | 5.423 | 12473.0 |
310 | 2025-05-29 06:15:23 | workhorses | 4 | 161450 | 125 | 84.553 | 1909.5 |
309 | 2025-05-29 01:52:54 | workhorses | 1 | 67641 | 3 | 2.953 | 22905.9 |
308 | 2025-05-29 01:02:51 | workhorses | 3 | 140603 | 22 | 27.173 | 5174.4 |
307 | 2025-05-29 01:02:51 | workhorses | 2 | 108824 | 7 | 7.890 | 13792.6 |
306 | 2025-05-27 00:01:57 | workhorses | 4 | 161450 | 125 | 42.643 | 3786.1 |
305 | 2025-05-26 20:13:09 | workhorses | 2 | 108824 | 7 | 13.580 | 8013.5 |
304 | 2025-05-26 00:53:21 | workhorses | 3 | 140603 | 22 | 23.736 | 5923.6 |
303 | 2025-05-26 00:53:16 | workhorses | 1 | 67641 | 3 | 2.486 | 27208.8 |
302 | 2025-05-25 09:52:45 | workhorses | 3 | 140603 | 22 | 6.500 | 21631.2 |
301 | 2025-05-14 12:44:55 | workhorses | 3 | 140603 | 22 | 35.483 | 3962.5 |
300 | 2025-05-14 00:25:06 | workhorses | 2 | 108824 | 7 | 11.830 | 9199.0 |
299 | 2025-05-14 00:21:47 | workhorses | 3 | 140603 | 22 | 35.440 | 3967.4 |
298 | 2025-05-09 02:08:01 | workhorses | 1 | 67641 | 3 | 1.186 | 57032.9 |
297 | 2025-05-04 09:49:42 | workhorses | 1 | 67641 | 3 | 7.326 | 9233.0 |
296 | 2025-04-29 08:14:58 | workhorses | 1 | 67641 | 3 | 1.110 | 60937.8 |
295 | 2025-03-17 07:44:07 | workhorses | 1 | 67641 | 3 | 4.186 | 16158.9 |
294 | 2025-03-03 20:16:11 | workhorses | 1 | 67641 | 3 | 8.170 | 8279.2 |
293 | 2025-02-28 07:11:48 | workhorses | 3 | 140603 | 22 | 30.876 | 4553.8 |
292 | 2025-02-21 21:20:18 | workhorses | 1 | 67641 | 3 | 5.393 | 12542.4 |
291 | 2025-02-20 09:24:11 | workhorses | 3 | 140603 | 22 | 27.986 | 5024.0 |
290 | 2025-02-20 09:22:29 | workhorses | 3 | 140603 | 22 | 33.340 | 4217.2 |
289 | 2025-02-13 21:13:08 | workhorses | 1 | 67641 | 3 | 5.266 | 12844.9 |
288 | 2025-02-13 14:09:37 | workhorses | 4 | 161450 | 125 | 48.986 | 3295.8 |
287 | 2025-02-12 18:26:31 | workhorses | 3 | 140603 | 22 | 18.610 | 7555.2 |
286 | 2025-02-12 18:26:13 | workhorses | 2 | 108824 | 7 | 14.720 | 7392.9 |
285 | 2025-02-10 19:35:36 | workhorses | 3 | 140603 | 22 | 29.500 | 4766.2 |
284 | 2025-02-10 19:35:32 | workhorses | 2 | 108824 | 7 | 13.390 | 8127.3 |
283 | 2025-02-08 16:41:38 | workhorses | 3 | 140603 | 22 | 20.016 | 7024.5 |
282 | 2025-02-08 16:41:34 | workhorses | 2 | 108824 | 7 | 12.156 | 8952.3 |
281 | 2025-02-08 16:38:58 | workhorses | 1 | 67641 | 3 | 3.436 | 19686.0 |
280 | 2025-02-01 04:12:14 | workhorses | 1 | 67641 | 3 | 2.360 | 28661.4 |
279 | 2025-01-30 03:27:59 | workhorses | 4 | 161450 | 125 | 66.486 | 2428.3 |
278 | 2025-01-19 10:30:51 | workhorses | 4 | 161450 | 125 | 55.313 | 2918.8 |
277 | 2025-01-18 01:40:35 | workhorses | 1 | 67641 | 3 | 1.143 | 59178.5 |
276 | 2025-01-10 09:40:52 | workhorses | 2 | 108824 | 7 | 15.343 | 7092.7 |
275 | 2025-01-10 09:29:57 | workhorses | 1 | 67641 | 3 | 2.983 | 22675.5 |
274 | 2025-01-09 05:35:28 | workhorses | 3 | 140603 | 22 | 28.280 | 4971.8 |
273 | 2025-01-07 20:30:03 | workhorses | 1 | 67641 | 3 | 5.546 | 12196.4 |
272 | 2025-01-03 08:54:17 | workhorses | 3 | 140603 | 22 | 46.313 | 3035.9 |
271 | 2025-01-02 00:50:34 | workhorses | 3 | 140603 | 22 | 27.830 | 5052.2 |
270 | 2024-12-31 14:07:34 | workhorses | 3 | 140603 | 22 | 34.380 | 4089.7 |
269 | 2024-12-31 14:07:37 | workhorses | 2 | 108824 | 7 | 17.933 | 6068.4 |
268 | 2024-12-31 14:04:52 | workhorses | 1 | 67641 | 3 | 1.046 | 64666.3 |
267 | 2024-12-29 18:16:04 | workhorses | 4 | 161450 | 125 | 38.470 | 4196.8 |
266 | 2024-12-07 19:35:33 | workhorses | 1 | 67641 | 3 | 4.966 | 13620.8 |
265 | 2024-12-06 17:43:26 | workhorses | 4 | 161450 | 125 | 41.940 | 3849.5 |
264 | 2024-12-05 03:50:45 | workhorses | 4 | 161450 | 125 | 65.926 | 2449.0 |
263 | 2024-12-05 02:58:32 | workhorses | 4 | 161450 | 125 | 64.660 | 2496.9 |
262 | 2024-11-27 23:21:08 | workhorses | 1 | 67641 | 3 | 4.643 | 14568.4 |
261 | 2024-11-25 19:37:17 | workhorses | 1 | 67641 | 3 | 2.546 | 26567.6 |
260 | 2024-11-25 16:28:40 | workhorses | 3 | 140603 | 22 | 25.123 | 5596.6 |
259 | 2024-11-04 10:39:59 | workhorses | 1 | 67641 | 3 | 5.280 | 12810.8 |
258 | 2024-11-02 14:59:22 | workhorses | 2 | 108824 | 7 | 22.270 | 4886.6 |
257 | 2024-11-01 14:06:37 | workhorses | 3 | 140603 | 22 | 34.836 | 4036.1 |
256 | 2024-10-31 09:08:18 | workhorses | 2 | 108824 | 7 | 15.530 | 7007.3 |
255 | 2024-10-24 18:14:36 | workhorses | 3 | 140603 | 22 | 31.673 | 4439.2 |
254 | 2024-10-24 18:14:33 | workhorses | 3 | 140603 | 22 | 32.486 | 4328.1 |
253 | 2024-10-24 18:14:35 | workhorses | 2 | 108824 | 7 | 14.643 | 7431.8 |
252 | 2024-10-24 18:10:19 | workhorses | 1 | 67641 | 3 | 6.466 | 10461.0 |
251 | 2024-10-15 13:37:04 | workhorses | 1 | 67641 | 3 | 7.546 | 8963.8 |
250 | 2024-10-05 23:52:50 | workhorses | 1 | 67641 | 3 | 7.360 | 9190.4 |
249 | 2024-10-02 07:03:44 | workhorses | 1 | 67641 | 3 | 4.000 | 16910.3 |
248 | 2024-09-21 08:21:05 | workhorses | 3 | 140603 | 22 | 48.390 | 2905.6 |
247 | 2024-09-21 08:21:16 | workhorses | 2 | 108824 | 7 | 23.186 | 4693.5 |
246 | 2024-09-21 08:14:26 | workhorses | 1 | 67641 | 3 | 4.656 | 14527.7 |
245 | 2024-09-16 11:00:14 | workhorses | 2 | 108824 | 7 | 22.580 | 4819.5 |
244 | 2024-09-15 01:34:50 | workhorses | 1 | 67641 | 3 | 3.533 | 19145.5 |
243 | 2024-09-12 14:33:38 | workhorses | 3 | 140603 | 22 | 61.663 | 2280.2 |
242 | 2024-09-10 06:05:39 | workhorses | 3 | 140603 | 22 | 44.220 | 3179.6 |
241 | 2024-09-02 22:44:43 | workhorses | 3 | 140603 | 22 | 46.703 | 3010.6 |