History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"warehousing"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 261 | 2026-03-05 19:37:54 | warehousing | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 260 | 2026-02-25 07:47:35 | warehousing | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 259 | 2026-02-23 18:12:56 | warehousing | 2 | 86808 | 2 | 2.220 | 39102.7 |
| 258 | 2026-02-23 14:43:30 | warehousing | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 257 | 2026-02-22 02:31:17 | warehousing | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 256 | 2026-02-21 12:08:17 | warehousing | 3 | 121633 | 9 | 5.706 | 21316.7 |
| 255 | 2026-02-20 21:41:16 | warehousing | 2 | 86808 | 2 | 4.093 | 21208.9 |
| 254 | 2026-02-18 09:36:40 | warehousing | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 253 | 2026-02-18 02:35:28 | warehousing | 1 | 49908 | 1 | 1.186 | 42080.9 |
| 252 | 2026-02-09 20:41:07 | warehousing | 1 | 49908 | 1 | 1.970 | 25334.0 |
| 251 | 2026-02-08 06:55:34 | warehousing | 1 | 49908 | 1 | 0.986 | 50616.6 |
| 250 | 2026-02-06 19:29:08 | warehousing | 1 | 49908 | 1 | 0.893 | 55888.0 |
| 249 | 2026-02-03 05:41:19 | warehousing | 1 | 49908 | 1 | 1.640 | 30431.7 |
| 248 | 2026-02-02 08:37:49 | warehousing | 2 | 86808 | 2 | 2.110 | 41141.2 |
| 247 | 2026-02-01 16:01:26 | warehousing | 1 | 49908 | 1 | 1.703 | 29305.9 |
| 246 | 2026-01-28 14:42:25 | warehousing | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 245 | 2026-01-28 13:00:01 | warehousing | 3 | 121633 | 9 | 7.783 | 15628.0 |
| 244 | 2026-01-26 08:45:56 | warehousing | 1 | 49908 | 1 | 1.266 | 39421.8 |
| 243 | 2026-01-26 08:44:17 | warehousing | 1 | 49908 | 1 | 0.903 | 55269.1 |
| 242 | 2026-01-23 08:24:08 | warehousing | 2 | 86808 | 2 | 2.093 | 41475.4 |
| 241 | 2026-01-21 15:19:48 | warehousing | 4 | 148819 | 43 | 8.843 | 16829.0 |
| 240 | 2026-01-17 16:15:03 | warehousing | 5 | 164607 | 486 | 20.596 | 7992.2 |
| 239 | 2026-01-16 13:53:26 | warehousing | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 238 | 2026-01-16 13:51:38 | warehousing | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 237 | 2026-01-16 13:43:16 | warehousing | 5 | 164607 | 486 | 24.893 | 6612.6 |
| 236 | 2026-01-16 13:40:03 | warehousing | 5 | 164607 | 486 | 59.040 | 2788.1 |
| 235 | 2026-01-16 13:39:47 | warehousing | 5 | 164607 | 486 | 42.236 | 3897.3 |
| 234 | 2026-01-13 22:24:07 | warehousing | 5 | 164607 | 486 | 66.590 | 2471.9 |
| 233 | 2026-01-07 23:02:04 | warehousing | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 232 | 2026-01-05 19:49:04 | warehousing | 1 | 49908 | 1 | 1.860 | 26832.3 |
| 231 | 2026-01-05 00:09:08 | warehousing | 5 | 164607 | 486 | 15.080 | 10915.6 |
| 230 | 2026-01-04 14:18:54 | warehousing | 5 | 164607 | 486 | 63.556 | 2590.0 |
| 229 | 2025-12-27 21:33:35 | warehousing | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 228 | 2025-12-26 02:26:03 | warehousing | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 227 | 2025-12-24 18:23:57 | warehousing | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 226 | 2025-12-15 17:30:04 | warehousing | 2 | 86808 | 2 | 2.486 | 34918.7 |
| 225 | 2025-12-14 22:37:22 | warehousing | 5 | 164607 | 486 | 15.453 | 10652.1 |
| 224 | 2025-12-14 08:05:28 | warehousing | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 223 | 2025-11-16 03:03:09 | warehousing | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 222 | 2025-10-17 17:21:06 | warehousing | 3 | 121633 | 9 | 7.343 | 16564.5 |
| 221 | 2025-09-23 23:46:09 | warehousing | 4 | 148819 | 43 | 8.813 | 16886.3 |
| 220 | 2025-09-16 21:03:31 | warehousing | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 219 | 2025-09-14 15:04:28 | warehousing | 4 | 148819 | 43 | 8.656 | 17192.6 |
| 218 | 2025-08-30 21:29:49 | warehousing | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 217 | 2025-08-27 23:03:36 | warehousing | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 216 | 2025-08-14 09:05:30 | warehousing | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 215 | 2025-08-09 11:41:36 | warehousing | 1 | 49908 | 1 | 2.483 | 20099.9 |
| 214 | 2025-08-09 01:44:36 | warehousing | 1 | 49908 | 1 | 2.423 | 20597.6 |
| 213 | 2025-07-24 00:58:41 | warehousing | 1 | 49908 | 1 | 3.563 | 14007.3 |
| 212 | 2025-07-23 01:44:03 | warehousing | 1 | 49908 | 1 | 3.720 | 13416.1 |
| 211 | 2025-07-01 21:36:36 | warehousing | 1 | 49908 | 1 | 1.720 | 29016.3 |
| 210 | 2025-06-26 01:25:58 | warehousing | 1 | 49908 | 1 | 5.516 | 9047.9 |
| 209 | 2025-05-30 21:07:00 | warehousing | 1 | 49908 | 1 | 4.296 | 11617.3 |
| 208 | 2025-04-11 02:33:02 | warehousing | 3 | 121633 | 9 | 23.563 | 5162.0 |
| 207 | 2025-04-11 00:38:28 | warehousing | 2 | 86808 | 2 | 6.436 | 13487.9 |
| 206 | 2025-04-09 21:26:05 | warehousing | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 205 | 2025-04-01 22:54:27 | warehousing | 1 | 49908 | 1 | 3.626 | 13763.9 |
| 204 | 2025-03-28 21:53:53 | warehousing | 4 | 148819 | 43 | 52.610 | 2828.7 |
| 203 | 2025-03-27 01:57:19 | warehousing | 3 | 121633 | 9 | 15.253 | 7974.4 |
| 202 | 2025-03-26 21:21:53 | warehousing | 4 | 148819 | 43 | 31.723 | 4691.2 |
| 201 | 2025-03-24 09:36:30 | warehousing | 4 | 148819 | 43 | 56.003 | 2657.3 |
| 200 | 2025-03-24 06:23:44 | warehousing | 4 | 148819 | 43 | 37.770 | 3940.1 |
| 199 | 2025-03-23 23:24:45 | warehousing | 2 | 86808 | 2 | 5.563 | 15604.5 |
| 198 | 2025-03-23 23:01:04 | warehousing | 3 | 121633 | 9 | 5.126 | 23728.6 |
| 197 | 2025-03-22 01:33:09 | warehousing | 1 | 49908 | 1 | 1.766 | 28260.5 |
| 196 | 2025-03-13 16:36:08 | warehousing | 1 | 49908 | 1 | 2.690 | 18553.2 |
| 195 | 2025-03-10 19:00:13 | warehousing | 1 | 49908 | 1 | 2.813 | 17741.9 |
| 194 | 2025-03-06 04:00:54 | warehousing | 1 | 49908 | 1 | 3.500 | 14259.4 |
| 193 | 2025-02-28 14:23:49 | warehousing | 4 | 148819 | 43 | 44.126 | 3372.6 |
| 192 | 2025-02-24 04:45:51 | warehousing | 4 | 148819 | 43 | 48.796 | 3049.8 |
| 191 | 2025-02-24 04:46:01 | warehousing | 2 | 86808 | 2 | 18.076 | 4802.4 |
| 190 | 2025-02-24 04:43:55 | warehousing | 1 | 49908 | 1 | 4.296 | 11617.3 |
| 189 | 2025-02-22 04:51:25 | warehousing | 4 | 148819 | 43 | 48.363 | 3077.1 |
| 188 | 2025-02-16 08:05:57 | warehousing | 3 | 121633 | 9 | 26.816 | 4535.8 |
| 187 | 2025-02-09 03:19:09 | warehousing | 1 | 49908 | 1 | 1.873 | 26646.0 |
| 186 | 2025-02-08 23:42:42 | warehousing | 3 | 121633 | 9 | 27.113 | 4486.2 |
| 185 | 2025-02-07 16:31:07 | warehousing | 3 | 121633 | 9 | 29.766 | 4086.3 |
| 184 | 2025-02-04 04:06:31 | warehousing | 1 | 49908 | 1 | 6.063 | 8231.6 |
| 183 | 2025-01-30 19:56:30 | warehousing | 3 | 121633 | 9 | 18.360 | 6624.9 |
| 182 | 2025-01-30 19:56:33 | warehousing | 2 | 86808 | 2 | 8.250 | 10522.2 |
| 181 | 2025-01-30 19:54:09 | warehousing | 1 | 49908 | 1 | 4.126 | 12096.0 |
| 180 | 2025-01-17 21:50:24 | warehousing | 1 | 49908 | 1 | 1.923 | 25953.2 |
| 179 | 2025-01-11 10:36:01 | warehousing | 4 | 148819 | 43 | 44.756 | 3325.1 |
| 178 | 2025-01-11 10:36:04 | warehousing | 2 | 86808 | 2 | 18.126 | 4789.1 |
| 177 | 2025-01-11 10:36:04 | warehousing | 3 | 121633 | 9 | 15.956 | 7623.0 |
| 176 | 2025-01-11 10:35:43 | warehousing | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 175 | 2025-01-08 06:20:23 | warehousing | 4 | 148819 | 43 | 72.363 | 2056.6 |
| 174 | 2024-12-31 14:11:59 | warehousing | 3 | 121633 | 9 | 27.313 | 4453.3 |
| 173 | 2024-12-25 06:39:18 | warehousing | 1 | 49908 | 1 | 2.296 | 21736.9 |
| 172 | 2024-12-24 05:35:53 | warehousing | 3 | 121633 | 9 | 25.406 | 4787.6 |
| 171 | 2024-12-23 14:38:02 | warehousing | 4 | 148819 | 43 | 48.173 | 3089.3 |
| 170 | 2024-12-23 14:38:02 | warehousing | 3 | 121633 | 9 | 38.393 | 3168.1 |
| 169 | 2024-12-23 14:37:31 | warehousing | 4 | 148819 | 43 | 46.220 | 3219.8 |
| 168 | 2024-12-23 14:38:02 | warehousing | 2 | 86808 | 2 | 12.296 | 7059.9 |
| 167 | 2024-12-23 14:36:24 | warehousing | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 166 | 2024-12-23 02:08:58 | warehousing | 1 | 49908 | 1 | 3.716 | 13430.6 |
| 165 | 2024-12-04 17:07:46 | warehousing | 4 | 148819 | 43 | 49.393 | 3013.0 |
| 164 | 2024-12-04 07:46:08 | warehousing | 4 | 148819 | 43 | 47.516 | 3132.0 |
| 163 | 2024-12-04 07:45:42 | warehousing | 4 | 148819 | 43 | 52.063 | 2858.4 |
| 162 | 2024-12-04 07:46:08 | warehousing | 2 | 86808 | 2 | 11.533 | 7526.9 |