History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"suburb"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
347 | 2025-09-04 11:25:24 | suburb | 1 | 48755 | 2 | 0.780 | 62506.4 |
346 | 2025-09-04 09:35:52 | suburb | 1 | 48755 | 2 | 0.906 | 53813.5 |
345 | 2025-08-29 16:36:42 | suburb | 1 | 48755 | 2 | 0.953 | 51159.5 |
344 | 2025-08-29 05:20:14 | suburb | 1 | 48755 | 2 | 0.813 | 59969.2 |
343 | 2025-08-28 04:05:33 | suburb | 1 | 48755 | 2 | 0.906 | 53813.5 |
342 | 2025-08-25 01:41:34 | suburb | 1 | 48755 | 2 | 4.250 | 11471.8 |
341 | 2025-08-12 16:49:53 | suburb | 1 | 48755 | 2 | 1.466 | 33257.2 |
340 | 2025-08-05 14:07:12 | suburb | 1 | 48755 | 2 | 2.140 | 22782.7 |
339 | 2025-08-05 07:29:48 | suburb | 1 | 48755 | 2 | 5.593 | 8717.1 |
338 | 2025-08-04 12:41:57 | suburb | 1 | 48755 | 2 | 3.126 | 15596.6 |
337 | 2025-07-29 06:14:50 | suburb | 1 | 48755 | 2 | 3.330 | 14641.1 |
336 | 2025-07-28 00:46:45 | suburb | 1 | 48755 | 2 | 3.940 | 12374.4 |
335 | 2025-07-24 03:02:36 | suburb | 1 | 48755 | 2 | 3.423 | 14243.4 |
334 | 2025-07-23 14:34:13 | suburb | 1 | 48755 | 2 | 1.970 | 24748.7 |
333 | 2025-07-10 21:03:39 | suburb | 1 | 48755 | 2 | 2.766 | 17626.5 |
332 | 2025-07-05 07:38:23 | suburb | 2 | 82551 | 15 | 6.656 | 12402.5 |
331 | 2025-07-05 06:43:31 | suburb | 1 | 48755 | 2 | 3.580 | 13618.7 |
330 | 2025-07-04 11:19:31 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
329 | 2025-07-02 13:52:38 | suburb | 1 | 48755 | 2 | 3.876 | 12578.7 |
328 | 2025-07-02 13:52:22 | suburb | 1 | 48755 | 2 | 3.140 | 15527.1 |
327 | 2025-06-22 01:53:33 | suburb | 1 | 48755 | 2 | 1.733 | 28133.3 |
326 | 2025-06-21 09:20:55 | suburb | 1 | 48755 | 2 | 1.890 | 25796.3 |
325 | 2025-06-20 03:55:13 | suburb | 1 | 48755 | 2 | 4.813 | 10129.9 |
324 | 2025-06-15 03:58:25 | suburb | 2 | 82551 | 15 | 2.436 | 33887.9 |
323 | 2025-06-14 04:58:31 | suburb | 3 | 112716 | 191 | 34.296 | 3286.6 |
322 | 2025-06-13 17:26:03 | suburb | 3 | 112716 | 191 | 5.453 | 20670.5 |
321 | 2025-06-12 04:46:22 | suburb | 1 | 48755 | 2 | 3.623 | 13457.1 |
320 | 2025-06-11 08:12:16 | suburb | 2 | 82551 | 15 | 8.436 | 9785.6 |
319 | 2025-06-11 04:00:45 | suburb | 3 | 112716 | 191 | 13.986 | 8059.2 |
318 | 2025-06-04 06:13:12 | suburb | 1 | 48755 | 2 | 4.250 | 11471.8 |
317 | 2025-06-02 10:25:09 | suburb | 1 | 48755 | 2 | 2.576 | 18926.6 |
316 | 2025-05-14 00:34:02 | suburb | 3 | 112716 | 191 | 35.003 | 3220.2 |
315 | 2025-05-12 23:51:01 | suburb | 2 | 82551 | 15 | 13.283 | 6214.8 |
314 | 2025-05-11 08:28:48 | suburb | 2 | 82551 | 15 | 2.470 | 33421.5 |
313 | 2025-05-11 03:54:19 | suburb | 3 | 112716 | 191 | 35.490 | 3176.0 |
312 | 2025-05-10 16:14:00 | suburb | 1 | 48755 | 2 | 4.156 | 11731.2 |
311 | 2025-05-06 10:17:46 | suburb | 1 | 48755 | 2 | 1.796 | 27146.4 |
310 | 2025-05-02 13:25:02 | suburb | 1 | 48755 | 2 | 1.936 | 25183.4 |
309 | 2025-05-02 09:33:32 | suburb | 1 | 48755 | 2 | 2.063 | 23633.1 |
308 | 2025-04-09 23:28:58 | suburb | 3 | 112716 | 191 | 9.250 | 12185.5 |
307 | 2025-04-09 04:21:17 | suburb | 3 | 112716 | 191 | 39.393 | 2861.3 |
306 | 2025-04-07 22:36:23 | suburb | 3 | 112716 | 191 | 20.923 | 5387.2 |
305 | 2025-04-04 16:29:47 | suburb | 3 | 112716 | 191 | 29.313 | 3845.3 |
304 | 2025-04-01 23:38:45 | suburb | 2 | 82551 | 15 | 11.033 | 7482.2 |
303 | 2025-04-01 21:57:23 | suburb | 3 | 112716 | 191 | 20.783 | 5423.5 |
302 | 2025-04-01 06:57:15 | suburb | 1 | 48755 | 2 | 1.060 | 45995.3 |
301 | 2025-03-31 11:35:45 | suburb | 1 | 48755 | 2 | 4.156 | 11731.2 |
300 | 2025-03-31 05:38:56 | suburb | 1 | 48755 | 2 | 4.970 | 9809.9 |
299 | 2025-03-20 03:09:35 | suburb | 1 | 48755 | 2 | 2.236 | 21804.6 |
298 | 2025-02-28 03:28:26 | suburb | 1 | 48755 | 2 | 3.936 | 12386.9 |
297 | 2025-02-26 01:56:38 | suburb | 1 | 48755 | 2 | 6.220 | 7838.4 |
296 | 2025-02-24 18:37:20 | suburb | 1 | 48755 | 2 | 2.373 | 20545.7 |
295 | 2025-02-24 12:43:37 | suburb | 1 | 48755 | 2 | 3.876 | 12578.7 |
294 | 2025-02-09 23:29:37 | suburb | 3 | 112716 | 191 | 26.173 | 4306.6 |
293 | 2025-02-09 19:44:29 | suburb | 3 | 112716 | 191 | 22.000 | 5123.5 |
292 | 2025-02-09 19:44:27 | suburb | 2 | 82551 | 15 | 12.860 | 6419.2 |
291 | 2025-02-07 19:42:07 | suburb | 3 | 112716 | 191 | 20.050 | 5621.7 |
290 | 2025-02-07 11:20:19 | suburb | 2 | 82551 | 15 | 12.203 | 6764.8 |
289 | 2025-02-06 15:44:54 | suburb | 3 | 112716 | 191 | 13.300 | 8474.9 |
288 | 2025-01-30 19:19:16 | suburb | 1 | 48755 | 2 | 4.203 | 11600.0 |
287 | 2025-01-27 13:18:48 | suburb | 1 | 48755 | 2 | 3.920 | 12437.5 |
286 | 2025-01-25 13:29:40 | suburb | 1 | 48755 | 2 | 5.296 | 9206.0 |
285 | 2025-01-22 18:47:25 | suburb | 1 | 48755 | 2 | 2.063 | 23633.1 |
284 | 2025-01-19 18:16:13 | suburb | 2 | 82551 | 15 | 12.796 | 6451.3 |
283 | 2025-01-19 18:15:55 | suburb | 1 | 48755 | 2 | 5.733 | 8504.3 |
282 | 2025-01-11 15:04:56 | suburb | 3 | 112716 | 191 | 27.750 | 4061.8 |
281 | 2025-01-10 04:46:04 | suburb | 3 | 112716 | 191 | 30.423 | 3705.0 |
280 | 2025-01-08 12:22:20 | suburb | 3 | 112716 | 191 | 30.550 | 3689.6 |
279 | 2025-01-08 10:20:01 | suburb | 3 | 112716 | 191 | 25.220 | 4469.3 |
278 | 2025-01-08 10:20:02 | suburb | 2 | 82551 | 15 | 13.236 | 6236.9 |
277 | 2024-12-28 10:34:25 | suburb | 1 | 48755 | 2 | 2.733 | 17839.4 |
276 | 2024-12-24 12:33:08 | suburb | 1 | 48755 | 2 | 1.733 | 28133.3 |
275 | 2024-12-21 12:37:29 | suburb | 1 | 48755 | 2 | 5.643 | 8639.9 |
274 | 2024-12-16 14:32:44 | suburb | 1 | 48755 | 2 | 4.046 | 12050.2 |
273 | 2024-12-08 22:02:40 | suburb | 2 | 82551 | 15 | 11.050 | 7470.7 |
272 | 2024-11-26 03:34:15 | suburb | 2 | 82551 | 15 | 2.843 | 29036.6 |
271 | 2024-11-26 03:34:14 | suburb | 1 | 48755 | 2 | 0.940 | 51867.0 |
270 | 2024-11-25 09:51:04 | suburb | 2 | 82551 | 15 | 2.576 | 32046.2 |
269 | 2024-11-25 09:50:48 | suburb | 3 | 112716 | 191 | 5.953 | 18934.3 |
268 | 2024-11-25 08:36:20 | suburb | 3 | 112716 | 191 | 27.830 | 4050.2 |
267 | 2024-11-24 23:21:29 | suburb | 3 | 112716 | 191 | 20.346 | 5540.0 |
266 | 2024-11-24 09:45:25 | suburb | 3 | 112716 | 191 | 43.876 | 2569.0 |
265 | 2024-11-24 09:45:35 | suburb | 2 | 82551 | 15 | 8.860 | 9317.3 |
264 | 2024-11-24 09:45:16 | suburb | 1 | 48755 | 2 | 1.313 | 37132.5 |
263 | 2024-11-16 14:39:30 | suburb | 1 | 48755 | 2 | 3.766 | 12946.1 |
262 | 2024-11-13 22:37:37 | suburb | 1 | 48755 | 2 | 1.843 | 26454.2 |
261 | 2024-10-26 00:51:54 | suburb | 1 | 48755 | 2 | 4.750 | 10264.2 |
260 | 2024-10-18 05:13:27 | suburb | 1 | 48755 | 2 | 3.610 | 13505.5 |
259 | 2024-10-17 01:02:13 | suburb | 3 | 112716 | 191 | 27.530 | 4094.3 |
258 | 2024-10-16 18:41:17 | suburb | 2 | 82551 | 15 | 12.283 | 6720.8 |
257 | 2024-10-16 04:27:22 | suburb | 3 | 112716 | 191 | 19.846 | 5679.5 |
256 | 2024-10-15 11:31:55 | suburb | 3 | 112716 | 191 | 28.146 | 4004.7 |
255 | 2024-10-14 19:21:27 | suburb | 3 | 112716 | 191 | 6.063 | 18590.8 |
254 | 2024-10-14 19:21:29 | suburb | 2 | 82551 | 15 | 2.796 | 29524.7 |
253 | 2024-10-14 19:21:26 | suburb | 1 | 48755 | 2 | 0.893 | 54596.9 |
252 | 2024-10-13 01:42:11 | suburb | 1 | 48755 | 2 | 5.906 | 8255.2 |
251 | 2024-09-21 10:00:11 | suburb | 1 | 48755 | 2 | 6.560 | 7432.2 |
250 | 2024-09-12 16:06:37 | suburb | 1 | 48755 | 2 | 2.830 | 17227.9 |
249 | 2024-08-30 03:29:21 | suburb | 1 | 48755 | 2 | 7.673 | 6354.1 |
248 | 2024-08-28 08:35:24 | suburb | 2 | 82551 | 15 | 26.566 | 3107.4 |