History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"neonatally"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 317 | 2025-10-31 15:35:06 | neonatally | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 316 | 2025-10-01 04:30:56 | neonatally | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 315 | 2025-09-03 12:13:37 | neonatally | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 314 | 2025-08-17 22:07:00 | neonatally | 4 | 161450 | 78 | 59.753 | 2702.0 |
| 313 | 2025-08-17 20:27:11 | neonatally | 2 | 108824 | 2 | 7.830 | 13898.3 |
| 312 | 2025-08-16 03:27:38 | neonatally | 1 | 67641 | 1 | 1.843 | 36701.6 |
| 311 | 2025-08-13 22:14:03 | neonatally | 3 | 140603 | 11 | 5.690 | 24710.5 |
| 310 | 2025-08-11 20:21:45 | neonatally | 4 | 161450 | 78 | 63.583 | 2539.2 |
| 309 | 2025-08-11 13:34:04 | neonatally | 1 | 67641 | 1 | 2.330 | 29030.5 |
| 308 | 2025-08-11 09:24:08 | neonatally | 3 | 140603 | 11 | 23.033 | 6104.4 |
| 307 | 2025-08-11 03:54:21 | neonatally | 2 | 108824 | 2 | 9.190 | 11841.6 |
| 306 | 2025-08-09 04:44:32 | neonatally | 1 | 67641 | 1 | 2.640 | 25621.6 |
| 305 | 2025-08-01 08:40:53 | neonatally | 1 | 67641 | 1 | 4.250 | 15915.5 |
| 304 | 2025-07-26 22:32:30 | neonatally | 1 | 67641 | 1 | 3.410 | 19836.1 |
| 303 | 2025-07-25 08:30:36 | neonatally | 1 | 67641 | 1 | 4.640 | 14577.8 |
| 302 | 2025-07-25 04:46:43 | neonatally | 1 | 67641 | 1 | 5.216 | 12968.0 |
| 301 | 2025-07-24 15:33:20 | neonatally | 1 | 67641 | 1 | 5.296 | 12772.1 |
| 300 | 2025-07-23 23:36:38 | neonatally | 1 | 67641 | 1 | 5.623 | 12029.3 |
| 299 | 2025-07-23 12:20:36 | neonatally | 1 | 67641 | 1 | 5.563 | 12159.1 |
| 298 | 2025-07-22 09:52:52 | neonatally | 3 | 140603 | 11 | 7.423 | 18941.5 |
| 297 | 2025-07-19 14:05:00 | neonatally | 2 | 108824 | 2 | 3.403 | 31978.8 |
| 296 | 2025-07-15 12:02:39 | neonatally | 1 | 67641 | 1 | 4.000 | 16910.3 |
| 295 | 2025-07-15 09:14:42 | neonatally | 1 | 67641 | 1 | 5.596 | 12087.4 |
| 294 | 2025-07-14 16:46:43 | neonatally | 2 | 108824 | 2 | 21.453 | 5072.7 |
| 293 | 2025-07-13 00:55:52 | neonatally | 1 | 67641 | 1 | 6.016 | 11243.5 |
| 292 | 2025-07-09 15:35:07 | neonatally | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 291 | 2025-07-09 09:05:30 | neonatally | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 290 | 2025-07-02 03:39:26 | neonatally | 1 | 67641 | 1 | 6.703 | 10091.2 |
| 289 | 2025-06-29 22:06:27 | neonatally | 1 | 67641 | 1 | 5.343 | 12659.7 |
| 288 | 2025-06-15 21:53:26 | neonatally | 1 | 67641 | 1 | 7.673 | 8815.5 |
| 287 | 2025-06-12 08:40:13 | neonatally | 1 | 67641 | 1 | 5.516 | 12262.7 |
| 286 | 2025-06-10 18:10:13 | neonatally | 1 | 67641 | 1 | 3.046 | 22206.5 |
| 285 | 2025-06-08 05:16:28 | neonatally | 3 | 140603 | 11 | 32.126 | 4376.6 |
| 284 | 2025-06-07 18:00:11 | neonatally | 3 | 140603 | 11 | 5.890 | 23871.5 |
| 283 | 2025-06-06 00:27:37 | neonatally | 4 | 161450 | 78 | 53.393 | 3023.8 |
| 282 | 2025-06-04 21:47:14 | neonatally | 4 | 161450 | 78 | 63.566 | 2539.9 |
| 281 | 2025-05-31 20:47:07 | neonatally | 4 | 161450 | 78 | 34.893 | 4627.0 |
| 280 | 2025-05-31 12:39:18 | neonatally | 3 | 140603 | 11 | 24.093 | 5835.8 |
| 279 | 2025-05-28 01:22:18 | neonatally | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 278 | 2025-05-22 07:16:02 | neonatally | 2 | 108824 | 2 | 15.470 | 7034.5 |
| 277 | 2025-05-21 08:56:31 | neonatally | 4 | 161450 | 78 | 11.566 | 13959.0 |
| 276 | 2025-05-14 05:12:25 | neonatally | 4 | 161450 | 78 | 64.946 | 2485.9 |
| 275 | 2025-05-14 03:06:54 | neonatally | 4 | 161450 | 78 | 59.440 | 2716.2 |
| 274 | 2025-05-13 21:05:45 | neonatally | 2 | 108824 | 2 | 14.156 | 7687.5 |
| 273 | 2025-05-13 05:18:04 | neonatally | 1 | 67641 | 1 | 3.016 | 22427.4 |
| 272 | 2025-05-08 00:43:38 | neonatally | 1 | 67641 | 1 | 5.920 | 11425.8 |
| 271 | 2025-05-05 11:04:10 | neonatally | 4 | 161450 | 78 | 14.190 | 11377.7 |
| 270 | 2025-05-02 04:04:46 | neonatally | 1 | 67641 | 1 | 8.220 | 8228.8 |
| 269 | 2025-05-02 02:17:59 | neonatally | 1 | 67641 | 1 | 5.203 | 13000.4 |
| 268 | 2025-04-29 21:07:00 | neonatally | 3 | 140603 | 11 | 17.733 | 7928.9 |
| 267 | 2025-04-26 15:17:57 | neonatally | 2 | 108824 | 2 | 7.766 | 14012.9 |
| 266 | 2025-04-26 01:59:15 | neonatally | 3 | 140603 | 11 | 29.486 | 4768.5 |
| 265 | 2025-04-26 00:08:47 | neonatally | 3 | 140603 | 11 | 36.173 | 3887.0 |
| 264 | 2025-04-25 06:55:48 | neonatally | 1 | 67641 | 1 | 2.953 | 22905.9 |
| 263 | 2025-04-21 14:47:50 | neonatally | 2 | 108824 | 2 | 19.096 | 5698.8 |
| 262 | 2025-04-20 15:11:32 | neonatally | 3 | 140603 | 11 | 26.580 | 5289.8 |
| 261 | 2025-04-19 21:17:32 | neonatally | 1 | 67641 | 1 | 3.220 | 21006.5 |
| 260 | 2025-04-18 20:36:32 | neonatally | 3 | 140603 | 11 | 50.613 | 2778.0 |
| 259 | 2025-04-16 21:45:00 | neonatally | 4 | 161450 | 78 | 63.380 | 2547.3 |
| 258 | 2025-04-14 20:54:26 | neonatally | 3 | 140603 | 11 | 12.343 | 11391.3 |
| 257 | 2025-04-14 17:51:04 | neonatally | 2 | 108824 | 2 | 23.593 | 4612.6 |
| 256 | 2025-04-14 11:37:55 | neonatally | 4 | 161450 | 78 | 12.826 | 12587.7 |
| 255 | 2025-04-13 21:48:39 | neonatally | 4 | 161450 | 78 | 47.813 | 3376.7 |
| 254 | 2025-04-11 01:44:41 | neonatally | 4 | 161450 | 78 | 72.956 | 2213.0 |
| 253 | 2025-04-10 20:53:01 | neonatally | 2 | 108824 | 2 | 15.580 | 6984.9 |
| 252 | 2025-04-10 01:53:54 | neonatally | 3 | 140603 | 11 | 7.156 | 19648.3 |
| 251 | 2025-04-09 05:38:34 | neonatally | 1 | 67641 | 1 | 4.766 | 14192.4 |
| 250 | 2025-04-01 23:27:14 | neonatally | 1 | 67641 | 1 | 7.843 | 8624.4 |
| 249 | 2025-03-30 00:25:05 | neonatally | 3 | 140603 | 11 | 6.003 | 23422.1 |
| 248 | 2025-03-16 20:25:32 | neonatally | 3 | 140603 | 11 | 40.880 | 3439.4 |
| 247 | 2025-03-16 09:14:38 | neonatally | 3 | 140603 | 11 | 36.596 | 3842.0 |
| 246 | 2025-03-16 09:14:28 | neonatally | 3 | 140603 | 11 | 37.566 | 3742.8 |
| 245 | 2025-03-16 09:14:37 | neonatally | 2 | 108824 | 2 | 16.156 | 6735.8 |
| 244 | 2025-03-16 09:11:40 | neonatally | 1 | 67641 | 1 | 2.250 | 30062.7 |
| 243 | 2025-03-01 03:17:48 | neonatally | 3 | 140603 | 11 | 39.863 | 3527.2 |
| 242 | 2025-03-01 03:17:26 | neonatally | 3 | 140603 | 11 | 27.486 | 5115.4 |
| 241 | 2025-02-25 22:51:10 | neonatally | 3 | 140603 | 11 | 34.610 | 4062.5 |
| 240 | 2025-02-25 07:17:23 | neonatally | 4 | 161450 | 78 | 67.370 | 2396.5 |
| 239 | 2025-02-25 07:17:31 | neonatally | 3 | 140603 | 11 | 33.160 | 4240.1 |
| 238 | 2025-02-25 07:17:31 | neonatally | 2 | 108824 | 2 | 12.690 | 8575.6 |
| 237 | 2025-02-25 07:17:05 | neonatally | 1 | 67641 | 1 | 5.626 | 12022.9 |
| 236 | 2025-02-22 02:20:45 | neonatally | 4 | 161450 | 78 | 63.143 | 2556.9 |
| 235 | 2025-02-21 13:59:06 | neonatally | 4 | 161450 | 78 | 47.206 | 3420.1 |
| 234 | 2025-02-15 20:49:28 | neonatally | 3 | 140603 | 11 | 15.296 | 9192.1 |
| 233 | 2025-02-13 20:46:45 | neonatally | 4 | 161450 | 78 | 64.770 | 2492.7 |
| 232 | 2025-02-13 20:46:30 | neonatally | 3 | 140603 | 11 | 36.783 | 3822.5 |
| 231 | 2025-02-13 20:44:34 | neonatally | 1 | 67641 | 1 | 2.970 | 22774.7 |
| 230 | 2025-02-11 06:02:12 | neonatally | 2 | 108824 | 2 | 23.613 | 4608.6 |
| 229 | 2025-02-11 06:02:03 | neonatally | 3 | 140603 | 11 | 27.860 | 5046.8 |
| 228 | 2025-02-11 05:58:32 | neonatally | 1 | 67641 | 1 | 2.836 | 23850.8 |
| 227 | 2025-01-23 20:45:53 | neonatally | 2 | 108824 | 2 | 12.080 | 9008.6 |
| 226 | 2025-01-23 20:45:07 | neonatally | 3 | 140603 | 11 | 48.206 | 2916.7 |
| 225 | 2025-01-23 20:44:45 | neonatally | 1 | 67641 | 1 | 3.780 | 17894.4 |
| 224 | 2025-01-21 02:06:51 | neonatally | 3 | 140603 | 11 | 34.720 | 4049.6 |
| 223 | 2025-01-20 19:45:01 | neonatally | 3 | 140603 | 11 | 43.143 | 3259.0 |
| 222 | 2025-01-14 15:33:18 | neonatally | 3 | 140603 | 11 | 45.393 | 3097.5 |
| 221 | 2025-01-14 15:33:22 | neonatally | 3 | 140603 | 11 | 34.036 | 4131.0 |
| 220 | 2025-01-14 02:25:00 | neonatally | 3 | 140603 | 11 | 35.610 | 3948.4 |
| 219 | 2025-01-11 05:20:57 | neonatally | 4 | 161450 | 78 | 38.006 | 4248.0 |
| 218 | 2025-01-11 05:21:13 | neonatally | 3 | 140603 | 11 | 16.880 | 8329.6 |