History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"granulated"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
346 | 2025-09-10 00:25:13 | granulated | 1 | 67641 | 4 | 1.050 | 64420.0 |
345 | 2025-09-06 14:23:50 | granulated | 1 | 67641 | 4 | 1.110 | 60937.8 |
344 | 2025-08-31 10:21:49 | granulated | 1 | 67641 | 4 | 1.203 | 56226.9 |
343 | 2025-08-17 09:40:13 | granulated | 4 | 161450 | 270 | 54.443 | 2965.5 |
342 | 2025-08-14 21:20:33 | granulated | 4 | 161450 | 270 | 30.470 | 5298.7 |
341 | 2025-08-11 20:35:10 | granulated | 1 | 67641 | 4 | 2.453 | 27574.8 |
340 | 2025-08-11 11:32:06 | granulated | 4 | 161450 | 270 | 65.753 | 2455.4 |
339 | 2025-08-10 23:26:51 | granulated | 3 | 140603 | 50 | 20.610 | 6822.1 |
338 | 2025-08-10 23:03:40 | granulated | 2 | 108824 | 13 | 7.470 | 14568.1 |
337 | 2025-08-10 04:08:38 | granulated | 1 | 67641 | 4 | 2.296 | 29460.4 |
336 | 2025-08-09 08:48:41 | granulated | 1 | 67641 | 4 | 4.673 | 14474.9 |
335 | 2025-08-06 22:39:47 | granulated | 1 | 67641 | 4 | 5.110 | 13237.0 |
334 | 2025-08-01 21:23:04 | granulated | 4 | 161450 | 270 | 34.736 | 4647.9 |
333 | 2025-08-01 18:32:30 | granulated | 3 | 140603 | 50 | 19.313 | 7280.2 |
332 | 2025-08-01 18:01:54 | granulated | 2 | 108824 | 13 | 11.406 | 9540.9 |
331 | 2025-07-31 05:15:06 | granulated | 1 | 67641 | 4 | 1.203 | 56226.9 |
330 | 2025-07-26 01:25:07 | granulated | 2 | 108824 | 13 | 2.780 | 39145.3 |
329 | 2025-07-20 08:02:36 | granulated | 2 | 108824 | 13 | 3.016 | 36082.2 |
328 | 2025-07-16 02:16:06 | granulated | 1 | 67641 | 4 | 2.313 | 29243.8 |
327 | 2025-07-10 15:09:21 | granulated | 1 | 67641 | 4 | 5.216 | 12968.0 |
326 | 2025-07-07 16:14:34 | granulated | 1 | 67641 | 4 | 3.046 | 22206.5 |
325 | 2025-07-05 06:56:08 | granulated | 1 | 67641 | 4 | 2.686 | 25182.8 |
324 | 2025-07-05 04:17:20 | granulated | 3 | 140603 | 50 | 31.800 | 4421.5 |
323 | 2025-07-05 00:52:32 | granulated | 1 | 67641 | 4 | 4.190 | 16143.4 |
322 | 2025-07-01 20:19:46 | granulated | 1 | 67641 | 4 | 4.690 | 14422.4 |
321 | 2025-06-30 08:54:52 | granulated | 3 | 140603 | 50 | 32.000 | 4393.8 |
320 | 2025-06-28 00:40:51 | granulated | 3 | 140603 | 50 | 27.923 | 5035.4 |
319 | 2025-06-27 00:38:13 | granulated | 3 | 140603 | 50 | 26.330 | 5340.0 |
318 | 2025-06-25 18:06:09 | granulated | 1 | 67641 | 4 | 2.063 | 32787.7 |
317 | 2025-06-25 07:56:05 | granulated | 3 | 140603 | 50 | 16.720 | 8409.3 |
316 | 2025-06-24 05:51:26 | granulated | 1 | 67641 | 4 | 8.220 | 8228.8 |
315 | 2025-06-19 15:11:05 | granulated | 1 | 67641 | 4 | 2.813 | 24045.9 |
314 | 2025-06-17 04:43:36 | granulated | 1 | 67641 | 4 | 1.190 | 56841.2 |
313 | 2025-06-13 12:41:02 | granulated | 1 | 67641 | 4 | 0.983 | 68810.8 |
312 | 2025-06-10 04:36:27 | granulated | 1 | 67641 | 4 | 5.530 | 12231.6 |
311 | 2025-06-08 02:10:13 | granulated | 1 | 67641 | 4 | 10.953 | 6175.6 |
310 | 2025-06-06 15:53:51 | granulated | 1 | 67641 | 4 | 5.606 | 12065.8 |
309 | 2025-05-15 19:44:21 | granulated | 1 | 67641 | 4 | 5.250 | 12884.0 |
308 | 2025-05-14 09:16:12 | granulated | 3 | 140603 | 50 | 38.533 | 3648.9 |
307 | 2025-05-12 03:25:45 | granulated | 3 | 140603 | 50 | 16.330 | 8610.1 |
306 | 2025-05-10 18:35:51 | granulated | 3 | 140603 | 50 | 29.986 | 4689.0 |
305 | 2025-05-08 08:16:51 | granulated | 1 | 67641 | 4 | 4.796 | 14103.6 |
304 | 2025-05-08 05:56:49 | granulated | 3 | 140603 | 50 | 25.296 | 5558.3 |
303 | 2025-05-08 02:10:51 | granulated | 1 | 67641 | 4 | 5.906 | 11452.9 |
302 | 2025-05-08 00:15:50 | granulated | 3 | 140603 | 50 | 36.766 | 3824.3 |
301 | 2025-05-07 04:00:18 | granulated | 1 | 67641 | 4 | 1.170 | 57812.8 |
300 | 2025-04-18 15:10:31 | granulated | 1 | 67641 | 4 | 2.936 | 23038.5 |
299 | 2025-04-15 19:28:10 | granulated | 1 | 67641 | 4 | 4.813 | 14053.8 |
298 | 2025-04-04 05:57:49 | granulated | 1 | 67641 | 4 | 3.920 | 17255.4 |
297 | 2025-03-25 09:43:24 | granulated | 1 | 67641 | 4 | 2.640 | 25621.6 |
296 | 2025-03-20 02:40:31 | granulated | 1 | 67641 | 4 | 2.623 | 25787.6 |
295 | 2025-03-16 07:37:47 | granulated | 1 | 67641 | 4 | 5.296 | 12772.1 |
294 | 2025-02-28 23:23:16 | granulated | 3 | 140603 | 50 | 28.080 | 5007.2 |
293 | 2025-02-23 10:16:02 | granulated | 3 | 140603 | 50 | 33.020 | 4258.1 |
292 | 2025-02-23 10:15:59 | granulated | 2 | 108824 | 13 | 15.423 | 7056.0 |
291 | 2025-02-22 19:43:54 | granulated | 3 | 140603 | 50 | 47.313 | 2971.8 |
290 | 2025-02-20 22:56:42 | granulated | 3 | 140603 | 50 | 47.266 | 2974.7 |
289 | 2025-02-20 13:33:59 | granulated | 1 | 67641 | 4 | 6.030 | 11217.4 |
288 | 2025-02-20 12:07:28 | granulated | 3 | 140603 | 50 | 29.753 | 4725.7 |
287 | 2025-02-20 01:11:13 | granulated | 3 | 140603 | 50 | 33.080 | 4250.4 |
286 | 2025-02-20 01:11:12 | granulated | 2 | 108824 | 13 | 18.750 | 5803.9 |
285 | 2025-02-20 01:06:22 | granulated | 1 | 67641 | 4 | 5.030 | 13447.5 |
284 | 2025-02-11 04:48:43 | granulated | 1 | 67641 | 4 | 2.843 | 23792.1 |
283 | 2025-01-22 08:22:05 | granulated | 1 | 67641 | 4 | 2.763 | 24481.0 |
282 | 2025-01-14 23:42:51 | granulated | 1 | 67641 | 4 | 1.030 | 65670.9 |
281 | 2025-01-10 14:41:57 | granulated | 1 | 67641 | 4 | 5.283 | 12803.5 |
280 | 2025-01-08 07:06:33 | granulated | 3 | 140603 | 50 | 26.703 | 5265.4 |
279 | 2025-01-08 07:06:35 | granulated | 2 | 108824 | 13 | 14.890 | 7308.5 |
278 | 2025-01-08 07:04:49 | granulated | 1 | 67641 | 4 | 4.233 | 15979.4 |
277 | 2024-12-22 17:06:36 | granulated | 3 | 140603 | 50 | 32.326 | 4349.5 |
276 | 2024-12-16 16:39:55 | granulated | 1 | 67641 | 4 | 1.080 | 62630.6 |
275 | 2024-12-15 12:11:27 | granulated | 3 | 140603 | 50 | 32.720 | 4297.2 |
274 | 2024-12-14 23:44:32 | granulated | 2 | 108824 | 13 | 17.830 | 6103.4 |
273 | 2024-12-14 23:42:08 | granulated | 1 | 67641 | 4 | 5.606 | 12065.8 |
272 | 2024-12-14 23:41:11 | granulated | 3 | 140603 | 50 | 33.953 | 4141.1 |
271 | 2024-12-11 07:58:24 | granulated | 3 | 140603 | 50 | 17.360 | 8099.3 |
270 | 2024-12-11 07:58:24 | granulated | 2 | 108824 | 13 | 7.576 | 14364.3 |
269 | 2024-12-11 07:57:46 | granulated | 1 | 67641 | 4 | 2.593 | 26086.0 |
268 | 2024-12-08 11:07:41 | granulated | 4 | 161450 | 270 | 53.036 | 3044.2 |
267 | 2024-12-01 08:59:50 | granulated | 1 | 67641 | 4 | 5.250 | 12884.0 |
266 | 2024-12-01 08:56:16 | granulated | 4 | 161450 | 270 | 67.143 | 2404.6 |
265 | 2024-11-23 00:52:40 | granulated | 4 | 161450 | 270 | 74.270 | 2173.8 |
264 | 2024-11-22 16:12:07 | granulated | 4 | 161450 | 270 | 56.033 | 2881.3 |
263 | 2024-11-18 02:04:15 | granulated | 3 | 140603 | 50 | 19.640 | 7159.0 |
262 | 2024-11-12 09:33:59 | granulated | 2 | 108824 | 13 | 17.390 | 6257.8 |
261 | 2024-11-12 01:24:41 | granulated | 3 | 140603 | 50 | 11.436 | 12294.8 |
260 | 2024-11-10 17:37:43 | granulated | 3 | 140603 | 50 | 61.536 | 2284.9 |
259 | 2024-11-09 02:29:41 | granulated | 1 | 67641 | 4 | 2.890 | 23405.2 |
258 | 2024-11-07 09:05:46 | granulated | 3 | 140603 | 50 | 32.690 | 4301.1 |
257 | 2024-11-07 09:05:48 | granulated | 2 | 108824 | 13 | 16.470 | 6607.4 |
256 | 2024-10-31 16:21:16 | granulated | 3 | 140603 | 50 | 42.813 | 3284.1 |
255 | 2024-10-31 16:21:17 | granulated | 2 | 108824 | 13 | 15.190 | 7164.2 |
254 | 2024-10-31 16:16:50 | granulated | 1 | 67641 | 4 | 5.233 | 12925.9 |
253 | 2024-10-29 10:57:40 | granulated | 3 | 140603 | 50 | 31.170 | 4510.8 |
252 | 2024-10-25 01:07:25 | granulated | 3 | 140603 | 50 | 38.973 | 3607.7 |
251 | 2024-10-21 19:16:10 | granulated | 1 | 67641 | 4 | 5.686 | 11896.1 |
250 | 2024-10-21 18:40:56 | granulated | 1 | 67641 | 4 | 5.186 | 13043.0 |
249 | 2024-10-21 18:39:06 | granulated | 1 | 67641 | 4 | 4.860 | 13917.9 |
248 | 2024-10-12 20:30:25 | granulated | 3 | 140603 | 50 | 30.270 | 4645.0 |
247 | 2024-10-12 20:30:22 | granulated | 3 | 140603 | 50 | 26.906 | 5225.7 |