History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"speediness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 332 | 2025-12-29 02:29:02 | speediness | 3 | 140603 | 73 | 6.296 | 22332.1 |
| 331 | 2025-11-25 10:28:58 | speediness | 1 | 67641 | 2 | 1.296 | 52192.1 |
| 330 | 2025-11-25 10:28:15 | speediness | 1 | 67641 | 2 | 1.266 | 53428.9 |
| 329 | 2025-11-23 16:33:35 | speediness | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 328 | 2025-11-22 22:17:55 | speediness | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 327 | 2025-11-18 23:13:12 | speediness | 3 | 140603 | 73 | 6.766 | 20780.8 |
| 326 | 2025-11-16 13:13:43 | speediness | 1 | 67641 | 2 | 2.360 | 28661.4 |
| 325 | 2025-10-22 23:44:56 | speediness | 1 | 67641 | 2 | 3.826 | 17679.3 |
| 324 | 2025-10-22 03:16:33 | speediness | 3 | 140603 | 73 | 39.410 | 3567.7 |
| 323 | 2025-10-20 11:12:41 | speediness | 1 | 67641 | 2 | 2.846 | 23767.0 |
| 322 | 2025-10-18 13:18:56 | speediness | 3 | 140603 | 73 | 7.873 | 17858.9 |
| 321 | 2025-10-15 18:52:19 | speediness | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 320 | 2025-10-09 15:33:48 | speediness | 1 | 67641 | 2 | 1.200 | 56367.5 |
| 319 | 2025-10-08 17:38:36 | speediness | 1 | 67641 | 2 | 2.203 | 30704.0 |
| 318 | 2025-09-26 11:25:41 | speediness | 1 | 67641 | 2 | 1.153 | 58665.2 |
| 317 | 2025-09-18 19:39:14 | speediness | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 316 | 2025-09-09 16:35:08 | speediness | 1 | 67641 | 2 | 1.060 | 63812.3 |
| 315 | 2025-08-25 15:33:20 | speediness | 3 | 140603 | 73 | 31.050 | 4528.3 |
| 314 | 2025-08-21 16:05:32 | speediness | 3 | 140603 | 73 | 15.486 | 9079.4 |
| 313 | 2025-08-19 09:32:11 | speediness | 2 | 108824 | 13 | 6.640 | 16389.2 |
| 312 | 2025-08-19 06:11:21 | speediness | 3 | 140603 | 73 | 15.373 | 9146.1 |
| 311 | 2025-08-18 15:20:14 | speediness | 1 | 67641 | 2 | 1.060 | 63812.3 |
| 310 | 2025-08-13 14:40:18 | speediness | 1 | 67641 | 2 | 5.423 | 12473.0 |
| 309 | 2025-08-08 10:46:22 | speediness | 1 | 67641 | 2 | 1.060 | 63812.3 |
| 308 | 2025-08-05 21:36:09 | speediness | 1 | 67641 | 2 | 5.283 | 12803.5 |
| 307 | 2025-08-04 01:30:22 | speediness | 1 | 67641 | 2 | 4.156 | 16275.5 |
| 306 | 2025-08-03 03:17:29 | speediness | 1 | 67641 | 2 | 2.703 | 25024.4 |
| 305 | 2025-07-31 00:26:13 | speediness | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 304 | 2025-07-23 14:40:27 | speediness | 1 | 67641 | 2 | 6.560 | 10311.1 |
| 303 | 2025-07-21 06:46:01 | speediness | 1 | 67641 | 2 | 1.266 | 53428.9 |
| 302 | 2025-07-20 22:27:56 | speediness | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 301 | 2025-07-13 21:23:00 | speediness | 1 | 67641 | 2 | 8.390 | 8062.1 |
| 300 | 2025-07-12 11:03:40 | speediness | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 299 | 2025-07-08 06:09:27 | speediness | 1 | 67641 | 2 | 5.910 | 11445.2 |
| 298 | 2025-07-07 14:51:51 | speediness | 3 | 140603 | 73 | 19.466 | 7223.0 |
| 297 | 2025-07-07 10:58:11 | speediness | 1 | 67641 | 2 | 7.673 | 8815.5 |
| 296 | 2025-07-05 02:39:12 | speediness | 3 | 140603 | 73 | 45.860 | 3065.9 |
| 295 | 2025-07-02 14:33:31 | speediness | 3 | 140603 | 73 | 18.423 | 7631.9 |
| 294 | 2025-07-02 14:14:02 | speediness | 3 | 140603 | 73 | 30.236 | 4650.2 |
| 293 | 2025-07-02 08:47:20 | speediness | 2 | 108824 | 13 | 23.220 | 4686.6 |
| 292 | 2025-07-01 15:04:03 | speediness | 1 | 67641 | 2 | 2.640 | 25621.6 |
| 291 | 2025-07-01 12:30:51 | speediness | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 290 | 2025-06-28 00:14:15 | speediness | 1 | 67641 | 2 | 7.703 | 8781.1 |
| 289 | 2025-06-24 00:26:24 | speediness | 1 | 67641 | 2 | 2.923 | 23141.0 |
| 288 | 2025-06-20 20:28:04 | speediness | 1 | 67641 | 2 | 7.080 | 9553.8 |
| 287 | 2025-06-13 09:14:39 | speediness | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 286 | 2025-06-10 09:11:10 | speediness | 1 | 67641 | 2 | 7.673 | 8815.5 |
| 285 | 2025-06-08 13:10:26 | speediness | 3 | 140603 | 73 | 45.353 | 3100.2 |
| 284 | 2025-06-07 13:51:16 | speediness | 3 | 140603 | 73 | 30.156 | 4662.5 |
| 283 | 2025-06-05 05:28:21 | speediness | 3 | 140603 | 73 | 18.953 | 7418.5 |
| 282 | 2025-05-27 00:09:05 | speediness | 1 | 67641 | 2 | 5.783 | 11696.5 |
| 281 | 2025-05-25 20:40:27 | speediness | 1 | 67641 | 2 | 1.096 | 61716.2 |
| 280 | 2025-05-17 21:18:24 | speediness | 3 | 140603 | 73 | 26.410 | 5323.9 |
| 279 | 2025-05-12 13:27:06 | speediness | 3 | 140603 | 73 | 25.983 | 5411.3 |
| 278 | 2025-05-12 07:24:11 | speediness | 2 | 108824 | 13 | 16.326 | 6665.7 |
| 277 | 2025-05-04 00:16:32 | speediness | 1 | 67641 | 2 | 3.593 | 18825.8 |
| 276 | 2025-04-28 09:10:44 | speediness | 1 | 67641 | 2 | 8.423 | 8030.5 |
| 275 | 2025-04-24 21:29:30 | speediness | 4 | 161450 | 443 | 11.126 | 14511.1 |
| 274 | 2025-04-21 17:41:32 | speediness | 4 | 161450 | 443 | 48.940 | 3298.9 |
| 273 | 2025-04-20 14:39:49 | speediness | 4 | 161450 | 443 | 50.020 | 3227.7 |
| 272 | 2025-04-20 08:34:46 | speediness | 4 | 161450 | 443 | 67.453 | 2393.5 |
| 271 | 2025-04-17 19:43:01 | speediness | 4 | 161450 | 443 | 32.830 | 4917.8 |
| 270 | 2025-04-14 14:16:56 | speediness | 1 | 67641 | 2 | 8.296 | 8153.4 |
| 269 | 2025-04-11 19:16:55 | speediness | 4 | 161450 | 443 | 60.103 | 2686.2 |
| 268 | 2025-04-09 10:23:56 | speediness | 4 | 161450 | 443 | 64.956 | 2485.5 |
| 267 | 2025-03-23 16:25:02 | speediness | 4 | 161450 | 443 | 41.533 | 3887.3 |
| 266 | 2025-03-23 11:09:05 | speediness | 1 | 67641 | 2 | 8.346 | 8104.6 |
| 265 | 2025-03-16 21:24:02 | speediness | 4 | 161450 | 443 | 58.880 | 2742.0 |
| 264 | 2025-03-16 10:33:34 | speediness | 4 | 161450 | 443 | 67.830 | 2380.2 |
| 263 | 2025-03-15 06:30:22 | speediness | 4 | 161450 | 443 | 81.300 | 1985.9 |
| 262 | 2025-03-14 19:34:19 | speediness | 1 | 67641 | 2 | 12.643 | 5350.1 |
| 261 | 2025-03-14 17:17:49 | speediness | 4 | 161450 | 443 | 75.956 | 2125.6 |
| 260 | 2025-03-14 11:47:27 | speediness | 4 | 161450 | 443 | 10.970 | 14717.4 |
| 259 | 2025-03-12 17:39:13 | speediness | 1 | 67641 | 2 | 6.656 | 10162.4 |
| 258 | 2025-02-25 17:31:36 | speediness | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 257 | 2025-02-13 02:21:25 | speediness | 4 | 161450 | 443 | 54.346 | 2970.8 |
| 256 | 2025-02-12 23:31:27 | speediness | 4 | 161450 | 443 | 78.736 | 2050.5 |
| 255 | 2025-02-12 23:25:01 | speediness | 1 | 67641 | 2 | 2.453 | 27574.8 |
| 254 | 2025-02-10 13:23:37 | speediness | 3 | 140603 | 73 | 23.423 | 6002.8 |
| 253 | 2025-02-10 13:03:32 | speediness | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 252 | 2025-02-09 03:43:07 | speediness | 3 | 140603 | 73 | 44.846 | 3135.2 |
| 251 | 2025-02-09 03:43:04 | speediness | 2 | 108824 | 13 | 12.953 | 8401.5 |
| 250 | 2025-02-08 23:58:26 | speediness | 1 | 67641 | 2 | 5.296 | 12772.1 |
| 249 | 2025-01-31 17:45:08 | speediness | 3 | 140603 | 73 | 39.550 | 3555.1 |
| 248 | 2025-01-31 17:45:03 | speediness | 2 | 108824 | 13 | 22.110 | 4921.9 |
| 247 | 2025-01-30 11:23:24 | speediness | 3 | 140603 | 73 | 31.670 | 4439.6 |
| 246 | 2025-01-30 08:53:31 | speediness | 3 | 140603 | 73 | 32.003 | 4393.4 |
| 245 | 2025-01-30 08:53:44 | speediness | 2 | 108824 | 13 | 14.813 | 7346.5 |
| 244 | 2025-01-30 08:50:35 | speediness | 1 | 67641 | 2 | 3.000 | 22547.0 |
| 243 | 2025-01-01 22:37:59 | speediness | 3 | 140603 | 73 | 40.706 | 3454.1 |
| 242 | 2024-12-30 05:08:21 | speediness | 3 | 140603 | 73 | 29.406 | 4781.4 |
| 241 | 2024-12-28 17:25:41 | speediness | 3 | 140603 | 73 | 27.130 | 5182.6 |
| 240 | 2024-12-28 17:25:51 | speediness | 2 | 108824 | 13 | 13.376 | 8135.8 |
| 239 | 2024-12-28 00:55:00 | speediness | 3 | 140603 | 73 | 47.643 | 2951.2 |
| 238 | 2024-12-28 00:54:56 | speediness | 3 | 140603 | 73 | 31.080 | 4523.9 |
| 237 | 2024-12-28 00:55:06 | speediness | 2 | 108824 | 13 | 15.126 | 7194.5 |
| 236 | 2024-12-27 23:54:44 | speediness | 1 | 67641 | 2 | 5.513 | 12269.4 |
| 235 | 2024-12-15 01:25:13 | speediness | 1 | 67641 | 2 | 5.423 | 12473.0 |
| 234 | 2024-12-13 01:59:40 | speediness | 1 | 67641 | 2 | 7.673 | 8815.5 |
| 233 | 2024-12-06 16:39:23 | speediness | 1 | 67641 | 2 | 2.516 | 26884.3 |