History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"concavity"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
306 | 2025-05-29 04:06:55 | concavity | 3 | 148641 | 24 | 47.723 | 3114.7 |
305 | 2025-05-24 10:20:03 | concavity | 3 | 148641 | 24 | 42.360 | 3509.0 |
304 | 2025-05-18 06:53:51 | concavity | 3 | 148641 | 24 | 35.230 | 4219.2 |
303 | 2025-05-17 08:20:40 | concavity | 1 | 81242 | 1 | 1.580 | 51419.0 |
302 | 2025-05-13 08:29:11 | concavity | 1 | 81242 | 1 | 1.470 | 55266.7 |
301 | 2025-05-13 05:07:49 | concavity | 1 | 81242 | 1 | 4.486 | 18110.1 |
300 | 2025-05-10 04:35:08 | concavity | 1 | 81242 | 1 | 7.626 | 10653.3 |
299 | 2025-04-17 19:46:17 | concavity | 1 | 81242 | 1 | 4.626 | 17562.0 |
298 | 2025-04-14 02:00:14 | concavity | 3 | 148641 | 24 | 37.220 | 3993.6 |
297 | 2025-04-09 05:10:26 | concavity | 1 | 81242 | 1 | 7.096 | 11449.0 |
296 | 2025-04-04 08:20:31 | concavity | 1 | 81242 | 1 | 4.956 | 16392.7 |
295 | 2025-03-31 07:09:23 | concavity | 3 | 148641 | 24 | 31.890 | 4661.1 |
294 | 2025-03-26 11:38:18 | concavity | 3 | 148641 | 24 | 31.093 | 4780.5 |
293 | 2025-03-23 07:48:02 | concavity | 1 | 81242 | 1 | 7.360 | 11038.3 |
292 | 2025-03-23 06:13:57 | concavity | 1 | 81242 | 1 | 6.626 | 12261.1 |
291 | 2025-03-09 19:31:22 | concavity | 3 | 148641 | 24 | 31.903 | 4659.2 |
290 | 2025-03-09 19:31:19 | concavity | 3 | 148641 | 24 | 18.376 | 8088.9 |
289 | 2025-03-09 19:24:41 | concavity | 1 | 81242 | 1 | 3.580 | 22693.3 |
288 | 2025-03-07 21:56:19 | concavity | 3 | 148641 | 24 | 35.280 | 4213.2 |
287 | 2025-03-07 21:56:18 | concavity | 2 | 121436 | 4 | 14.610 | 8311.8 |
286 | 2025-02-28 18:15:28 | concavity | 3 | 148641 | 24 | 27.796 | 5347.6 |
285 | 2025-02-28 18:14:24 | concavity | 3 | 148641 | 24 | 40.516 | 3668.7 |
284 | 2025-02-28 18:14:23 | concavity | 2 | 121436 | 4 | 18.343 | 6620.3 |
283 | 2025-02-28 18:14:04 | concavity | 1 | 81242 | 1 | 4.296 | 18911.1 |
282 | 2025-02-09 18:59:39 | concavity | 2 | 121436 | 4 | 22.703 | 5348.9 |
281 | 2025-02-07 09:14:29 | concavity | 1 | 81242 | 1 | 6.936 | 11713.1 |
280 | 2025-01-30 17:28:03 | concavity | 1 | 81242 | 1 | 6.500 | 12498.8 |
279 | 2025-01-13 17:21:35 | concavity | 3 | 148641 | 24 | 34.030 | 4367.9 |
278 | 2025-01-13 05:52:08 | concavity | 1 | 81242 | 1 | 6.783 | 11977.3 |
277 | 2025-01-07 03:34:35 | concavity | 2 | 121436 | 4 | 15.436 | 7867.1 |
276 | 2025-01-07 03:33:53 | concavity | 3 | 148641 | 24 | 38.436 | 3867.2 |
275 | 2025-01-07 03:31:39 | concavity | 1 | 81242 | 1 | 3.186 | 25499.7 |
274 | 2025-01-05 13:59:09 | concavity | 1 | 81242 | 1 | 6.970 | 11656.0 |
273 | 2024-12-14 02:24:27 | concavity | 3 | 148641 | 24 | 45.270 | 3283.4 |
272 | 2024-12-11 12:57:08 | concavity | 3 | 148641 | 24 | 40.733 | 3649.2 |
271 | 2024-12-11 12:57:04 | concavity | 2 | 121436 | 4 | 26.563 | 4571.6 |
270 | 2024-12-06 08:11:28 | concavity | 1 | 81242 | 1 | 5.626 | 14440.5 |
269 | 2024-12-05 06:32:45 | concavity | 3 | 148641 | 24 | 39.253 | 3786.7 |
268 | 2024-12-05 06:32:29 | concavity | 3 | 148641 | 24 | 40.940 | 3630.7 |
267 | 2024-12-05 06:32:47 | concavity | 2 | 121436 | 4 | 17.906 | 6781.9 |
266 | 2024-12-05 06:30:52 | concavity | 1 | 81242 | 1 | 4.546 | 17871.1 |
265 | 2024-11-27 12:21:07 | concavity | 1 | 81242 | 1 | 1.453 | 55913.3 |
264 | 2024-11-04 08:37:06 | concavity | 3 | 148641 | 24 | 56.943 | 2610.3 |
263 | 2024-11-04 01:04:32 | concavity | 1 | 81242 | 1 | 9.720 | 8358.2 |
262 | 2024-10-31 02:51:26 | concavity | 1 | 81242 | 1 | 6.453 | 12589.8 |
261 | 2024-10-26 18:57:32 | concavity | 3 | 148641 | 24 | 33.610 | 4422.5 |
260 | 2024-10-26 18:57:29 | concavity | 3 | 148641 | 24 | 27.846 | 5338.0 |
259 | 2024-10-11 17:24:15 | concavity | 1 | 81242 | 1 | 3.390 | 23965.2 |
258 | 2024-09-23 15:08:29 | concavity | 1 | 81242 | 1 | 14.873 | 5462.4 |
257 | 2024-09-07 10:07:59 | concavity | 1 | 81242 | 1 | 17.236 | 4713.5 |
256 | 2024-08-28 21:01:22 | concavity | 1 | 81242 | 1 | 1.420 | 57212.7 |
255 | 2024-08-11 14:05:40 | concavity | 3 | 148641 | 24 | 33.173 | 4480.8 |
254 | 2024-08-09 14:40:16 | concavity | 4 | 165329 | 188 | 42.783 | 3864.4 |
253 | 2024-08-09 14:40:17 | concavity | 3 | 148641 | 24 | 31.533 | 4713.8 |
252 | 2024-08-05 11:31:02 | concavity | 3 | 148641 | 24 | 26.970 | 5511.3 |
251 | 2024-08-05 01:03:39 | concavity | 4 | 165329 | 188 | 44.223 | 3738.5 |
250 | 2024-08-04 21:35:35 | concavity | 4 | 165329 | 188 | 25.453 | 6495.5 |
249 | 2024-08-04 15:36:03 | concavity | 4 | 165329 | 188 | 70.816 | 2334.6 |
248 | 2024-08-04 15:36:24 | concavity | 2 | 121436 | 4 | 7.096 | 17113.3 |
247 | 2024-08-04 15:36:04 | concavity | 3 | 148641 | 24 | 25.266 | 5883.0 |
246 | 2024-08-04 15:35:51 | concavity | 1 | 81242 | 1 | 2.733 | 29726.3 |
245 | 2024-07-30 11:03:28 | concavity | 1 | 81242 | 1 | 5.390 | 15072.7 |
244 | 2024-07-23 00:47:38 | concavity | 3 | 148641 | 24 | 28.863 | 5149.9 |
243 | 2024-07-23 00:47:33 | concavity | 3 | 148641 | 24 | 29.393 | 5057.0 |
242 | 2024-07-23 00:47:40 | concavity | 2 | 121436 | 4 | 13.846 | 8770.5 |
241 | 2024-07-19 13:59:31 | concavity | 1 | 81242 | 1 | 7.000 | 11606.0 |
240 | 2024-06-23 04:47:24 | concavity | 3 | 148641 | 24 | 29.876 | 4975.3 |
239 | 2024-06-23 04:35:53 | concavity | 2 | 121436 | 4 | 17.830 | 6810.8 |
238 | 2024-06-20 18:49:34 | concavity | 2 | 121436 | 4 | 16.000 | 7589.8 |
237 | 2024-06-17 04:07:38 | concavity | 2 | 121436 | 4 | 15.673 | 7748.1 |
236 | 2024-06-13 23:34:11 | concavity | 1 | 81242 | 1 | 4.483 | 18122.2 |
235 | 2024-06-01 05:09:11 | concavity | 1 | 81242 | 1 | 1.513 | 53696.0 |
234 | 2024-06-01 02:05:22 | concavity | 3 | 148641 | 24 | 24.656 | 6028.6 |
233 | 2024-06-01 02:05:20 | concavity | 2 | 121436 | 4 | 10.233 | 11867.1 |
232 | 2024-06-01 01:14:48 | concavity | 1 | 81242 | 1 | 1.390 | 58447.5 |
231 | 2024-05-31 13:47:01 | concavity | 1 | 81242 | 1 | 1.486 | 54671.6 |
230 | 2024-05-15 05:36:48 | concavity | 4 | 165329 | 188 | 46.800 | 3532.7 |
229 | 2024-05-13 20:46:46 | concavity | 1 | 81242 | 1 | 1.966 | 41323.5 |
228 | 2024-05-13 10:14:11 | concavity | 4 | 165329 | 188 | 33.753 | 4898.2 |
227 | 2024-05-11 03:54:02 | concavity | 4 | 165329 | 188 | 61.003 | 2710.2 |
226 | 2024-05-09 11:30:25 | concavity | 4 | 165329 | 188 | 33.766 | 4896.3 |
225 | 2024-05-09 11:30:29 | concavity | 3 | 148641 | 24 | 16.846 | 8823.5 |
224 | 2024-05-09 11:30:29 | concavity | 2 | 121436 | 4 | 11.110 | 10930.3 |
223 | 2024-05-09 11:29:06 | concavity | 1 | 81242 | 1 | 2.686 | 30246.5 |
222 | 2024-05-07 13:58:42 | concavity | 3 | 148641 | 24 | 8.343 | 17816.3 |
221 | 2024-04-29 15:48:29 | concavity | 1 | 81242 | 1 | 1.470 | 55266.7 |
220 | 2024-04-29 15:30:42 | concavity | 3 | 148641 | 24 | 8.360 | 17780.0 |
219 | 2024-04-29 15:30:46 | concavity | 2 | 121436 | 4 | 4.140 | 29332.4 |
218 | 2024-04-29 15:30:37 | concavity | 1 | 81242 | 1 | 1.516 | 53589.7 |
217 | 2024-04-26 13:20:34 | concavity | 2 | 121436 | 4 | 9.516 | 12761.2 |
216 | 2024-04-26 13:17:06 | concavity | 4 | 165329 | 188 | 20.906 | 7908.2 |
215 | 2024-04-26 10:40:36 | concavity | 1 | 81242 | 1 | 2.420 | 33571.1 |
214 | 2024-04-23 23:39:59 | concavity | 2 | 121436 | 4 | 5.706 | 21282.2 |
213 | 2024-04-23 23:39:49 | concavity | 3 | 148641 | 24 | 9.283 | 16012.2 |
212 | 2024-04-23 23:34:16 | concavity | 1 | 81242 | 1 | 1.546 | 52549.8 |
211 | 2024-04-10 22:11:40 | concavity | 4 | 165329 | 188 | 36.566 | 4521.4 |
210 | 2024-04-09 10:27:33 | concavity | 1 | 81242 | 1 | 1.830 | 44394.5 |
209 | 2024-04-09 10:26:57 | concavity | 4 | 165329 | 188 | 14.780 | 11186.0 |
208 | 2024-04-09 10:26:58 | concavity | 3 | 148641 | 24 | 10.893 | 13645.6 |
207 | 2024-04-09 10:27:00 | concavity | 2 | 121436 | 4 | 8.313 | 14608.0 |