History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsample"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 311 | 2025-11-03 13:19:45 | subsample | 1 | 81242 | 3 | 1.796 | 45235.0 |
| 310 | 2025-10-24 23:53:13 | subsample | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 309 | 2025-10-20 02:06:02 | subsample | 1 | 81242 | 3 | 4.560 | 17816.2 |
| 308 | 2025-10-17 21:37:52 | subsample | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 307 | 2025-10-17 14:00:58 | subsample | 1 | 81242 | 3 | 1.530 | 53099.3 |
| 306 | 2025-10-16 01:44:48 | subsample | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 305 | 2025-10-13 09:57:47 | subsample | 1 | 81242 | 3 | 1.733 | 46879.4 |
| 304 | 2025-10-11 05:39:01 | subsample | 3 | 148641 | 14 | 7.390 | 20113.8 |
| 303 | 2025-09-24 00:15:34 | subsample | 1 | 81242 | 3 | 1.550 | 52414.2 |
| 302 | 2025-09-18 18:14:13 | subsample | 1 | 81242 | 3 | 1.953 | 41598.6 |
| 301 | 2025-09-17 18:09:40 | subsample | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 300 | 2025-09-16 21:27:40 | subsample | 1 | 81242 | 3 | 1.513 | 53696.0 |
| 299 | 2025-09-16 17:40:08 | subsample | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 298 | 2025-09-16 09:45:18 | subsample | 3 | 148641 | 14 | 6.063 | 24516.1 |
| 297 | 2025-09-15 16:10:53 | subsample | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 296 | 2025-09-15 15:47:40 | subsample | 1 | 81242 | 3 | 5.280 | 15386.7 |
| 295 | 2025-09-15 01:02:59 | subsample | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 294 | 2025-09-13 05:24:54 | subsample | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 293 | 2025-09-03 05:52:37 | subsample | 3 | 148641 | 14 | 6.936 | 21430.4 |
| 292 | 2025-09-02 05:54:37 | subsample | 3 | 148641 | 14 | 6.483 | 22927.8 |
| 291 | 2025-08-31 02:59:30 | subsample | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 290 | 2025-08-29 19:02:11 | subsample | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 289 | 2025-08-26 19:24:26 | subsample | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 288 | 2025-08-18 17:48:52 | subsample | 1 | 81242 | 3 | 1.516 | 53589.7 |
| 287 | 2025-08-05 21:00:20 | subsample | 3 | 148641 | 14 | 17.003 | 8742.0 |
| 286 | 2025-08-04 13:46:04 | subsample | 3 | 148641 | 14 | 6.796 | 21871.8 |
| 285 | 2025-08-03 13:26:53 | subsample | 3 | 148641 | 14 | 5.966 | 24914.7 |
| 284 | 2025-07-25 08:09:44 | subsample | 1 | 81242 | 3 | 2.843 | 28576.2 |
| 283 | 2025-07-24 03:13:20 | subsample | 1 | 81242 | 3 | 3.360 | 24179.2 |
| 282 | 2025-06-22 05:31:21 | subsample | 3 | 148641 | 14 | 36.936 | 4024.3 |
| 281 | 2025-06-22 01:06:11 | subsample | 2 | 121436 | 4 | 18.813 | 6454.9 |
| 280 | 2025-06-21 10:34:27 | subsample | 1 | 81242 | 3 | 3.203 | 25364.3 |
| 279 | 2025-06-14 10:30:51 | subsample | 1 | 81242 | 3 | 6.970 | 11656.0 |
| 278 | 2025-06-14 01:01:54 | subsample | 1 | 81242 | 3 | 9.220 | 8811.5 |
| 277 | 2025-05-30 11:53:45 | subsample | 1 | 81242 | 3 | 6.546 | 12410.9 |
| 276 | 2025-04-20 01:46:50 | subsample | 1 | 81242 | 3 | 7.030 | 11556.5 |
| 275 | 2025-03-29 17:26:19 | subsample | 2 | 121436 | 4 | 23.393 | 5191.1 |
| 274 | 2025-03-27 22:49:18 | subsample | 1 | 81242 | 3 | 3.623 | 22424.0 |
| 273 | 2025-03-07 01:20:47 | subsample | 4 | 165329 | 101 | 122.006 | 1355.1 |
| 272 | 2025-03-07 01:20:44 | subsample | 3 | 148641 | 14 | 80.973 | 1835.7 |
| 271 | 2025-03-07 01:20:43 | subsample | 2 | 121436 | 4 | 36.500 | 3327.0 |
| 270 | 2025-03-07 00:46:47 | subsample | 1 | 81242 | 3 | 6.436 | 12623.1 |
| 269 | 2025-02-25 03:57:31 | subsample | 3 | 148641 | 14 | 28.016 | 5305.6 |
| 268 | 2025-02-25 03:57:32 | subsample | 2 | 121436 | 4 | 27.156 | 4471.8 |
| 267 | 2025-02-24 12:23:19 | subsample | 3 | 148641 | 14 | 35.610 | 4174.1 |
| 266 | 2025-02-20 03:28:23 | subsample | 3 | 148641 | 14 | 49.080 | 3028.5 |
| 265 | 2025-02-20 03:28:32 | subsample | 3 | 148641 | 14 | 36.096 | 4117.9 |
| 264 | 2025-02-20 03:28:20 | subsample | 2 | 121436 | 4 | 17.280 | 7027.5 |
| 263 | 2025-02-20 03:26:20 | subsample | 1 | 81242 | 3 | 7.986 | 10173.1 |
| 262 | 2025-02-19 23:28:49 | subsample | 3 | 148641 | 14 | 48.050 | 3093.5 |
| 261 | 2025-02-19 22:25:13 | subsample | 4 | 165329 | 101 | 45.236 | 3654.8 |
| 260 | 2025-02-19 22:25:12 | subsample | 3 | 148641 | 14 | 44.550 | 3336.5 |
| 259 | 2025-02-19 22:23:41 | subsample | 1 | 81242 | 3 | 6.393 | 12708.0 |
| 258 | 2025-02-12 22:42:17 | subsample | 1 | 81242 | 3 | 6.706 | 12114.8 |
| 257 | 2025-01-29 06:10:22 | subsample | 2 | 121436 | 4 | 18.330 | 6625.0 |
| 256 | 2025-01-26 20:39:18 | subsample | 3 | 148641 | 14 | 28.053 | 5298.6 |
| 255 | 2025-01-26 20:39:19 | subsample | 2 | 121436 | 4 | 17.770 | 6833.8 |
| 254 | 2025-01-26 20:32:40 | subsample | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 253 | 2025-01-11 17:41:17 | subsample | 1 | 81242 | 3 | 4.296 | 18911.1 |
| 252 | 2025-01-05 06:36:50 | subsample | 3 | 148641 | 14 | 37.173 | 3998.6 |
| 251 | 2025-01-03 06:37:54 | subsample | 4 | 165329 | 101 | 79.990 | 2066.9 |
| 250 | 2025-01-02 14:14:46 | subsample | 3 | 148641 | 14 | 24.423 | 6086.1 |
| 249 | 2025-01-02 05:52:26 | subsample | 3 | 148641 | 14 | 36.033 | 4125.1 |
| 248 | 2025-01-01 11:04:47 | subsample | 4 | 165329 | 101 | 57.660 | 2867.3 |
| 247 | 2025-01-01 11:04:54 | subsample | 3 | 148641 | 14 | 34.223 | 4343.3 |
| 246 | 2025-01-01 11:04:51 | subsample | 2 | 121436 | 4 | 17.690 | 6864.7 |
| 245 | 2025-01-01 11:04:26 | subsample | 1 | 81242 | 3 | 7.390 | 10993.5 |
| 244 | 2024-12-25 00:16:03 | subsample | 1 | 81242 | 3 | 3.783 | 21475.5 |
| 243 | 2024-12-12 11:31:02 | subsample | 1 | 81242 | 3 | 6.576 | 12354.3 |
| 242 | 2024-11-17 05:52:18 | subsample | 3 | 148641 | 14 | 18.736 | 7933.4 |
| 241 | 2024-11-15 08:55:29 | subsample | 3 | 148641 | 14 | 30.936 | 4804.8 |
| 240 | 2024-11-09 11:49:55 | subsample | 3 | 148641 | 14 | 48.973 | 3035.2 |
| 239 | 2024-11-07 18:32:30 | subsample | 3 | 148641 | 14 | 36.983 | 4019.2 |
| 238 | 2024-11-07 18:32:31 | subsample | 2 | 121436 | 4 | 16.250 | 7473.0 |
| 237 | 2024-11-07 17:55:32 | subsample | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 236 | 2024-10-31 08:28:51 | subsample | 1 | 81242 | 3 | 6.656 | 12205.8 |
| 235 | 2024-10-11 17:23:29 | subsample | 4 | 165329 | 101 | 77.350 | 2137.4 |
| 234 | 2024-10-08 22:42:35 | subsample | 4 | 165329 | 101 | 61.293 | 2697.4 |
| 233 | 2024-10-06 14:45:44 | subsample | 4 | 165329 | 101 | 142.643 | 1159.0 |
| 232 | 2024-10-01 14:32:21 | subsample | 1 | 81242 | 3 | 10.423 | 7794.5 |
| 231 | 2024-09-17 11:02:07 | subsample | 1 | 81242 | 3 | 16.236 | 5003.8 |
| 230 | 2024-09-12 15:32:04 | subsample | 1 | 81242 | 3 | 15.220 | 5337.8 |
| 229 | 2024-09-10 20:47:25 | subsample | 4 | 165329 | 101 | 113.040 | 1462.6 |
| 228 | 2024-09-05 01:40:25 | subsample | 4 | 165329 | 101 | 86.333 | 1915.0 |
| 227 | 2024-09-02 09:37:57 | subsample | 4 | 165329 | 101 | 106.983 | 1545.4 |
| 226 | 2024-09-01 04:37:06 | subsample | 4 | 165329 | 101 | 90.773 | 1821.3 |
| 225 | 2024-08-17 21:30:59 | subsample | 3 | 148641 | 14 | 29.066 | 5113.9 |
| 224 | 2024-08-17 14:32:11 | subsample | 1 | 81242 | 3 | 10.296 | 7890.6 |
| 223 | 2024-08-17 14:27:50 | subsample | 4 | 165329 | 101 | 95.973 | 1722.7 |
| 222 | 2024-08-17 14:28:00 | subsample | 3 | 148641 | 14 | 35.420 | 4196.5 |
| 221 | 2024-08-17 14:28:13 | subsample | 2 | 121436 | 4 | 13.703 | 8862.0 |
| 220 | 2024-08-06 09:52:23 | subsample | 2 | 121436 | 4 | 19.486 | 6232.0 |
| 219 | 2024-08-06 09:52:06 | subsample | 3 | 148641 | 14 | 19.826 | 7497.3 |
| 218 | 2024-08-06 09:49:32 | subsample | 1 | 81242 | 3 | 4.143 | 19609.5 |
| 217 | 2024-07-30 10:06:01 | subsample | 3 | 148641 | 14 | 31.626 | 4700.0 |
| 216 | 2024-07-30 10:06:00 | subsample | 3 | 148641 | 14 | 26.550 | 5598.5 |
| 215 | 2024-07-30 10:06:00 | subsample | 2 | 121436 | 4 | 16.656 | 7290.8 |
| 214 | 2024-07-30 10:04:49 | subsample | 1 | 81242 | 3 | 6.250 | 12998.7 |
| 213 | 2024-07-28 07:43:04 | subsample | 1 | 81242 | 3 | 2.986 | 27207.6 |
| 212 | 2024-07-25 11:25:42 | subsample | 1 | 81242 | 3 | 2.423 | 33529.5 |