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 |
| 323 | 2025-11-22 16:50:53 | concavity | 3 | 148641 | 24 | 6.483 | 22927.8 |
| 322 | 2025-11-22 15:01:06 | concavity | 1 | 81242 | 1 | 1.500 | 54161.3 |
| 321 | 2025-11-22 00:33:59 | concavity | 3 | 148641 | 24 | 16.830 | 8831.9 |
| 320 | 2025-11-15 04:22:08 | concavity | 1 | 81242 | 1 | 1.360 | 59736.8 |
| 319 | 2025-11-12 02:46:34 | concavity | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 318 | 2025-11-11 20:14:06 | concavity | 1 | 81242 | 1 | 1.780 | 45641.6 |
| 317 | 2025-10-26 21:45:57 | concavity | 2 | 121436 | 4 | 3.576 | 33958.6 |
| 316 | 2025-10-16 15:26:38 | concavity | 2 | 121436 | 4 | 3.576 | 33958.6 |
| 315 | 2025-10-12 04:12:55 | concavity | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 314 | 2025-09-02 02:17:37 | concavity | 1 | 81242 | 1 | 1.283 | 63321.9 |
| 313 | 2025-08-19 04:19:30 | concavity | 1 | 81242 | 1 | 3.656 | 22221.6 |
| 312 | 2025-08-16 19:51:21 | concavity | 1 | 81242 | 1 | 3.673 | 22118.7 |
| 311 | 2025-08-14 14:10:22 | concavity | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 310 | 2025-07-17 10:59:01 | concavity | 1 | 81242 | 1 | 3.800 | 21379.5 |
| 309 | 2025-07-17 07:59:11 | concavity | 1 | 81242 | 1 | 8.033 | 10113.5 |
| 308 | 2025-07-05 06:48:46 | concavity | 1 | 81242 | 1 | 9.296 | 8739.5 |
| 307 | 2025-06-23 15:41:07 | concavity | 1 | 81242 | 1 | 1.466 | 55417.5 |
| 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 |