History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linearized"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
340 | 2025-06-27 12:44:47 | linearized | 1 | 67641 | 4 | 1.203 | 56226.9 |
339 | 2025-06-20 11:20:19 | linearized | 1 | 67641 | 4 | 8.203 | 8245.9 |
338 | 2025-06-19 17:47:12 | linearized | 1 | 67641 | 4 | 1.186 | 57032.9 |
337 | 2025-06-18 12:20:24 | linearized | 1 | 67641 | 4 | 5.390 | 12549.4 |
336 | 2025-06-16 22:00:53 | linearized | 1 | 67641 | 4 | 8.473 | 7983.1 |
335 | 2025-06-06 10:29:04 | linearized | 1 | 67641 | 4 | 5.156 | 13118.9 |
334 | 2025-05-18 10:01:23 | linearized | 1 | 67641 | 4 | 4.640 | 14577.8 |
333 | 2025-05-14 10:28:52 | linearized | 1 | 67641 | 4 | 5.420 | 12479.9 |
332 | 2025-05-07 21:23:12 | linearized | 1 | 67641 | 4 | 4.626 | 14621.9 |
331 | 2025-04-16 08:12:27 | linearized | 1 | 67641 | 4 | 8.266 | 8183.0 |
330 | 2025-04-14 09:50:22 | linearized | 1 | 67641 | 4 | 5.953 | 11362.5 |
329 | 2025-03-28 21:31:24 | linearized | 1 | 67641 | 4 | 4.606 | 14685.4 |
328 | 2025-03-14 19:29:07 | linearized | 1 | 67641 | 4 | 5.390 | 12549.4 |
327 | 2025-03-05 03:35:37 | linearized | 1 | 67641 | 4 | 4.830 | 14004.3 |
326 | 2025-03-03 10:12:59 | linearized | 1 | 67641 | 4 | 1.013 | 66773.0 |
325 | 2025-02-18 06:14:58 | linearized | 1 | 67641 | 4 | 2.766 | 24454.4 |
324 | 2025-02-18 01:19:58 | linearized | 3 | 140603 | 23 | 55.143 | 2549.8 |
323 | 2025-02-18 01:20:00 | linearized | 3 | 140603 | 23 | 19.156 | 7339.9 |
322 | 2025-02-18 01:19:56 | linearized | 2 | 108824 | 6 | 14.266 | 7628.2 |
321 | 2025-02-18 01:19:45 | linearized | 1 | 67641 | 4 | 2.546 | 26567.6 |
320 | 2025-01-31 05:20:57 | linearized | 3 | 140603 | 23 | 31.173 | 4510.4 |
319 | 2025-01-29 18:36:26 | linearized | 1 | 67641 | 4 | 1.156 | 58513.0 |
318 | 2025-01-27 17:17:37 | linearized | 3 | 140603 | 23 | 37.923 | 3707.6 |
317 | 2025-01-27 17:17:39 | linearized | 3 | 140603 | 23 | 33.250 | 4228.7 |
316 | 2025-01-27 17:17:38 | linearized | 2 | 108824 | 6 | 22.953 | 4741.2 |
315 | 2025-01-27 16:05:16 | linearized | 1 | 67641 | 4 | 1.153 | 58665.2 |
314 | 2025-01-17 05:27:07 | linearized | 3 | 140603 | 23 | 33.220 | 4232.5 |
313 | 2025-01-17 05:27:16 | linearized | 2 | 108824 | 6 | 15.080 | 7216.4 |
312 | 2025-01-17 05:24:17 | linearized | 1 | 67641 | 4 | 5.283 | 12803.5 |
311 | 2025-01-17 02:21:25 | linearized | 3 | 140603 | 23 | 37.970 | 3703.0 |
310 | 2025-01-17 02:21:26 | linearized | 2 | 108824 | 6 | 15.250 | 7136.0 |
309 | 2025-01-17 02:13:25 | linearized | 1 | 67641 | 4 | 5.576 | 12130.7 |
308 | 2024-12-26 12:34:15 | linearized | 1 | 67641 | 4 | 1.126 | 60071.9 |
307 | 2024-12-21 11:19:40 | linearized | 3 | 140603 | 23 | 29.673 | 4738.4 |
306 | 2024-12-21 01:20:59 | linearized | 3 | 140603 | 23 | 32.690 | 4301.1 |
305 | 2024-12-21 01:20:57 | linearized | 2 | 108824 | 6 | 18.666 | 5830.1 |
304 | 2024-12-21 00:59:11 | linearized | 3 | 140603 | 23 | 46.753 | 3007.4 |
303 | 2024-12-21 00:59:01 | linearized | 2 | 108824 | 6 | 14.936 | 7286.0 |
302 | 2024-12-21 00:55:38 | linearized | 1 | 67641 | 4 | 2.406 | 28113.5 |
301 | 2024-12-08 14:45:16 | linearized | 2 | 108824 | 6 | 15.456 | 7040.9 |
300 | 2024-12-08 14:42:34 | linearized | 1 | 67641 | 4 | 6.046 | 11187.7 |
299 | 2024-11-25 14:00:00 | linearized | 3 | 140603 | 23 | 29.710 | 4732.5 |
298 | 2024-11-25 14:00:03 | linearized | 3 | 140603 | 23 | 26.240 | 5358.3 |
297 | 2024-11-25 14:00:01 | linearized | 2 | 108824 | 6 | 15.066 | 7223.2 |
296 | 2024-11-25 13:58:26 | linearized | 1 | 67641 | 4 | 2.423 | 27916.2 |
295 | 2024-11-19 12:46:42 | linearized | 3 | 140603 | 23 | 37.953 | 3704.7 |
294 | 2024-11-19 12:46:47 | linearized | 2 | 108824 | 6 | 17.673 | 6157.6 |
293 | 2024-11-19 12:07:45 | linearized | 1 | 67641 | 4 | 1.093 | 61885.6 |
292 | 2024-10-31 10:52:56 | linearized | 3 | 140603 | 23 | 34.146 | 4117.7 |
291 | 2024-10-31 10:53:04 | linearized | 2 | 108824 | 6 | 15.673 | 6943.4 |
290 | 2024-10-31 10:50:16 | linearized | 1 | 67641 | 4 | 1.186 | 57032.9 |
289 | 2024-10-30 21:06:07 | linearized | 1 | 67641 | 4 | 1.093 | 61885.6 |
288 | 2024-10-24 14:58:59 | linearized | 1 | 67641 | 4 | 5.720 | 11825.3 |
287 | 2024-10-13 15:25:18 | linearized | 3 | 140603 | 23 | 32.580 | 4315.6 |
286 | 2024-10-13 15:25:01 | linearized | 2 | 108824 | 6 | 15.343 | 7092.7 |
285 | 2024-10-13 15:24:17 | linearized | 3 | 140603 | 23 | 42.376 | 3318.0 |
284 | 2024-10-13 15:23:15 | linearized | 1 | 67641 | 4 | 2.156 | 31373.4 |
283 | 2024-10-13 04:39:11 | linearized | 3 | 140603 | 23 | 33.750 | 4166.0 |
282 | 2024-10-12 03:13:46 | linearized | 3 | 140603 | 23 | 38.486 | 3653.4 |
281 | 2024-10-12 03:13:42 | linearized | 3 | 140603 | 23 | 33.813 | 4158.3 |
280 | 2024-10-12 03:13:39 | linearized | 2 | 108824 | 6 | 15.643 | 6956.7 |
279 | 2024-09-28 07:59:25 | linearized | 1 | 67641 | 4 | 13.173 | 5134.8 |
278 | 2024-09-12 05:39:20 | linearized | 1 | 67641 | 4 | 4.606 | 14685.4 |
277 | 2024-08-30 22:34:40 | linearized | 1 | 67641 | 4 | 11.750 | 5756.7 |
276 | 2024-08-21 17:14:13 | linearized | 3 | 140603 | 23 | 66.753 | 2106.3 |
275 | 2024-08-17 00:55:36 | linearized | 4 | 161450 | 164 | 135.696 | 1189.8 |
274 | 2024-08-15 17:39:34 | linearized | 4 | 161450 | 164 | 57.220 | 2821.6 |
273 | 2024-08-10 11:00:19 | linearized | 2 | 108824 | 6 | 17.876 | 6087.7 |
272 | 2024-08-10 11:00:16 | linearized | 3 | 140603 | 23 | 14.343 | 9802.9 |
271 | 2024-08-10 10:47:16 | linearized | 1 | 67641 | 4 | 2.080 | 32519.7 |
270 | 2024-08-07 08:16:47 | linearized | 4 | 161450 | 164 | 38.613 | 4181.2 |
269 | 2024-08-05 18:35:04 | linearized | 4 | 161450 | 164 | 79.736 | 2024.8 |
268 | 2024-08-05 12:29:12 | linearized | 4 | 161450 | 164 | 50.503 | 3196.8 |
267 | 2024-08-05 04:53:38 | linearized | 4 | 161450 | 164 | 56.716 | 2846.6 |
266 | 2024-08-05 04:53:46 | linearized | 3 | 140603 | 23 | 16.016 | 8778.9 |
265 | 2024-08-05 04:53:40 | linearized | 2 | 108824 | 6 | 5.220 | 20847.5 |
264 | 2024-08-05 04:50:26 | linearized | 1 | 67641 | 4 | 2.593 | 26086.0 |
263 | 2024-07-29 01:29:25 | linearized | 1 | 67641 | 4 | 3.873 | 17464.8 |
262 | 2024-07-25 21:11:45 | linearized | 3 | 140603 | 23 | 16.940 | 8300.1 |
261 | 2024-07-25 16:35:34 | linearized | 1 | 67641 | 4 | 5.780 | 11702.6 |
260 | 2024-07-17 07:04:35 | linearized | 3 | 140603 | 23 | 26.686 | 5268.8 |
259 | 2024-07-17 06:03:13 | linearized | 3 | 140603 | 23 | 31.610 | 4448.1 |
258 | 2024-07-16 07:05:34 | linearized | 3 | 140603 | 23 | 32.050 | 4387.0 |
257 | 2024-07-12 20:23:38 | linearized | 3 | 140603 | 23 | 27.050 | 5197.9 |
256 | 2024-07-12 20:23:33 | linearized | 3 | 140603 | 23 | 24.596 | 5716.5 |
255 | 2024-07-12 20:23:39 | linearized | 2 | 108824 | 6 | 13.470 | 8079.0 |
254 | 2024-07-12 20:17:36 | linearized | 1 | 67641 | 4 | 3.563 | 18984.3 |
253 | 2024-07-07 02:43:52 | linearized | 2 | 108824 | 6 | 5.563 | 19562.1 |
252 | 2024-07-07 02:36:40 | linearized | 2 | 108824 | 6 | 9.250 | 11764.8 |
251 | 2024-07-07 02:06:28 | linearized | 1 | 67641 | 4 | 4.186 | 16158.9 |
250 | 2024-07-03 19:19:14 | linearized | 2 | 108824 | 6 | 10.330 | 10534.8 |
249 | 2024-07-03 19:17:01 | linearized | 1 | 67641 | 4 | 6.656 | 10162.4 |
248 | 2024-06-18 16:09:09 | linearized | 4 | 161450 | 164 | 48.550 | 3325.4 |
247 | 2024-06-18 16:09:11 | linearized | 3 | 140603 | 23 | 34.270 | 4102.8 |
246 | 2024-06-18 16:09:11 | linearized | 2 | 108824 | 6 | 11.233 | 9687.9 |
245 | 2024-06-10 00:14:03 | linearized | 3 | 140603 | 23 | 23.830 | 5900.3 |
244 | 2024-06-10 00:14:03 | linearized | 2 | 108824 | 6 | 11.623 | 9362.8 |
243 | 2024-06-10 00:11:35 | linearized | 1 | 67641 | 4 | 4.280 | 15804.0 |
242 | 2024-06-09 02:29:59 | linearized | 3 | 140603 | 23 | 20.800 | 6759.8 |
241 | 2024-06-09 02:29:53 | linearized | 2 | 108824 | 6 | 8.826 | 12329.9 |