History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"galvanized"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 284 | 2025-10-17 05:39:02 | galvanized | 1 | 67641 | 5 | 1.016 | 66575.8 |
| 283 | 2025-09-24 00:03:27 | galvanized | 2 | 108824 | 9 | 3.156 | 34481.6 |
| 282 | 2025-09-23 22:41:50 | galvanized | 2 | 108824 | 9 | 10.546 | 10319.0 |
| 281 | 2025-09-19 20:00:44 | galvanized | 1 | 67641 | 5 | 2.250 | 30062.7 |
| 280 | 2025-09-18 12:25:10 | galvanized | 4 | 161450 | 156 | 23.610 | 6838.2 |
| 279 | 2025-09-17 19:28:27 | galvanized | 1 | 67641 | 5 | 1.046 | 64666.3 |
| 278 | 2025-09-11 09:51:46 | galvanized | 4 | 161450 | 156 | 10.826 | 14913.2 |
| 277 | 2025-08-30 21:04:52 | galvanized | 3 | 140603 | 29 | 6.360 | 22107.4 |
| 276 | 2025-08-26 23:29:40 | galvanized | 1 | 67641 | 5 | 1.046 | 64666.3 |
| 275 | 2025-08-21 09:49:26 | galvanized | 1 | 67641 | 5 | 2.046 | 33060.1 |
| 274 | 2025-08-09 04:55:09 | galvanized | 1 | 67641 | 5 | 2.750 | 24596.7 |
| 273 | 2025-08-05 06:38:01 | galvanized | 1 | 67641 | 5 | 2.203 | 30704.0 |
| 272 | 2025-07-26 17:05:49 | galvanized | 1 | 67641 | 5 | 5.923 | 11420.1 |
| 271 | 2025-07-23 22:20:23 | galvanized | 1 | 67641 | 5 | 3.250 | 20812.6 |
| 270 | 2025-07-21 07:42:28 | galvanized | 1 | 67641 | 5 | 2.343 | 28869.4 |
| 269 | 2025-07-13 15:45:34 | galvanized | 3 | 140603 | 29 | 17.936 | 7839.2 |
| 268 | 2025-07-13 05:38:49 | galvanized | 2 | 108824 | 9 | 3.080 | 35332.5 |
| 267 | 2025-07-11 16:09:41 | galvanized | 3 | 140603 | 29 | 42.190 | 3332.6 |
| 266 | 2025-07-10 16:53:30 | galvanized | 3 | 140603 | 29 | 24.580 | 5720.2 |
| 265 | 2025-07-10 15:25:15 | galvanized | 1 | 67641 | 5 | 5.593 | 12093.9 |
| 264 | 2025-07-07 03:39:50 | galvanized | 1 | 67641 | 5 | 4.750 | 14240.2 |
| 263 | 2025-06-30 06:03:52 | galvanized | 3 | 140603 | 29 | 31.063 | 4526.4 |
| 262 | 2025-06-20 19:16:55 | galvanized | 1 | 67641 | 5 | 7.890 | 8573.0 |
| 261 | 2025-06-20 01:22:20 | galvanized | 3 | 140603 | 29 | 40.270 | 3491.5 |
| 260 | 2025-06-18 04:13:20 | galvanized | 1 | 67641 | 5 | 5.610 | 12057.2 |
| 259 | 2025-06-16 17:08:27 | galvanized | 3 | 140603 | 29 | 31.363 | 4483.1 |
| 258 | 2025-06-15 14:40:46 | galvanized | 1 | 67641 | 5 | 3.326 | 20337.0 |
| 257 | 2025-06-13 10:58:18 | galvanized | 1 | 67641 | 5 | 3.686 | 18350.8 |
| 256 | 2025-06-04 02:28:59 | galvanized | 1 | 67641 | 5 | 2.703 | 25024.4 |
| 255 | 2025-05-31 07:34:26 | galvanized | 4 | 161450 | 156 | 54.130 | 2982.6 |
| 254 | 2025-05-31 06:10:33 | galvanized | 2 | 108824 | 9 | 10.330 | 10534.8 |
| 253 | 2025-05-28 11:57:52 | galvanized | 1 | 67641 | 5 | 2.656 | 25467.2 |
| 252 | 2025-05-28 08:37:09 | galvanized | 4 | 161450 | 156 | 11.593 | 13926.5 |
| 251 | 2025-05-26 01:25:25 | galvanized | 4 | 161450 | 156 | 49.016 | 3293.8 |
| 250 | 2025-05-25 10:20:37 | galvanized | 4 | 161450 | 156 | 10.923 | 14780.7 |
| 249 | 2025-05-24 15:56:35 | galvanized | 4 | 161450 | 156 | 32.623 | 4949.0 |
| 248 | 2025-05-23 04:20:27 | galvanized | 4 | 161450 | 156 | 55.690 | 2899.1 |
| 247 | 2025-05-20 15:33:22 | galvanized | 1 | 67641 | 5 | 4.953 | 13656.6 |
| 246 | 2025-05-20 02:16:55 | galvanized | 4 | 161450 | 156 | 42.283 | 3818.3 |
| 245 | 2025-05-19 04:46:23 | galvanized | 2 | 108824 | 9 | 3.296 | 33017.0 |
| 244 | 2025-05-13 11:19:07 | galvanized | 2 | 108824 | 9 | 10.580 | 10285.8 |
| 243 | 2025-05-04 10:56:56 | galvanized | 1 | 67641 | 5 | 10.500 | 6442.0 |
| 242 | 2025-05-02 02:11:35 | galvanized | 1 | 67641 | 5 | 5.123 | 13203.4 |
| 241 | 2025-05-01 15:15:41 | galvanized | 1 | 67641 | 5 | 1.266 | 53428.9 |
| 240 | 2025-04-11 08:56:50 | galvanized | 1 | 67641 | 5 | 5.170 | 13083.4 |
| 239 | 2025-04-06 14:02:31 | galvanized | 1 | 67641 | 5 | 5.576 | 12130.7 |
| 238 | 2025-03-24 02:54:41 | galvanized | 1 | 67641 | 5 | 8.373 | 8078.5 |
| 237 | 2025-03-09 04:08:26 | galvanized | 3 | 140603 | 29 | 15.330 | 9171.8 |
| 236 | 2025-02-28 04:53:32 | galvanized | 1 | 67641 | 5 | 5.203 | 13000.4 |
| 235 | 2025-02-24 16:29:24 | galvanized | 1 | 67641 | 5 | 1.050 | 64420.0 |
| 234 | 2025-02-18 22:04:02 | galvanized | 3 | 140603 | 29 | 30.066 | 4676.5 |
| 233 | 2025-02-17 18:37:12 | galvanized | 2 | 108824 | 9 | 13.376 | 8135.8 |
| 232 | 2025-02-17 16:42:13 | galvanized | 1 | 67641 | 5 | 5.406 | 12512.2 |
| 231 | 2025-02-17 05:04:52 | galvanized | 3 | 140603 | 29 | 29.350 | 4790.6 |
| 230 | 2025-02-14 20:19:46 | galvanized | 3 | 140603 | 29 | 29.186 | 4817.5 |
| 229 | 2025-02-14 02:16:02 | galvanized | 3 | 140603 | 29 | 31.940 | 4402.1 |
| 228 | 2025-02-14 02:15:33 | galvanized | 3 | 140603 | 29 | 39.423 | 3566.5 |
| 227 | 2025-02-14 02:15:54 | galvanized | 2 | 108824 | 9 | 15.046 | 7232.8 |
| 226 | 2025-02-14 02:12:15 | galvanized | 1 | 67641 | 5 | 3.063 | 22083.3 |
| 225 | 2025-02-07 16:00:15 | galvanized | 1 | 67641 | 5 | 2.876 | 23519.1 |
| 224 | 2025-01-26 01:57:58 | galvanized | 1 | 67641 | 5 | 4.703 | 14382.5 |
| 223 | 2025-01-22 08:24:46 | galvanized | 3 | 140603 | 29 | 32.143 | 4374.3 |
| 222 | 2025-01-15 15:45:40 | galvanized | 2 | 108824 | 9 | 20.156 | 5399.1 |
| 221 | 2025-01-15 15:44:24 | galvanized | 1 | 67641 | 5 | 3.296 | 20522.1 |
| 220 | 2025-01-14 09:01:57 | galvanized | 2 | 108824 | 9 | 11.093 | 9810.2 |
| 219 | 2025-01-14 03:21:01 | galvanized | 2 | 108824 | 9 | 18.486 | 5886.8 |
| 218 | 2025-01-14 03:18:00 | galvanized | 1 | 67641 | 5 | 4.046 | 16718.0 |
| 217 | 2025-01-13 18:14:12 | galvanized | 3 | 140603 | 29 | 46.986 | 2992.4 |
| 216 | 2025-01-08 18:19:54 | galvanized | 3 | 140603 | 29 | 27.926 | 5034.8 |
| 215 | 2025-01-08 08:17:40 | galvanized | 3 | 140603 | 29 | 30.453 | 4617.0 |
| 214 | 2025-01-08 08:17:39 | galvanized | 2 | 108824 | 9 | 22.436 | 4850.4 |
| 213 | 2025-01-07 07:20:10 | galvanized | 4 | 161450 | 156 | 59.343 | 2720.6 |
| 212 | 2025-01-03 22:12:26 | galvanized | 4 | 161450 | 156 | 63.680 | 2535.3 |
| 211 | 2025-01-03 22:12:26 | galvanized | 3 | 140603 | 29 | 26.286 | 5349.0 |
| 210 | 2025-01-03 22:12:27 | galvanized | 2 | 108824 | 9 | 16.753 | 6495.8 |
| 209 | 2025-01-03 22:11:46 | galvanized | 1 | 67641 | 5 | 2.813 | 24045.9 |
| 208 | 2024-12-31 22:42:35 | galvanized | 1 | 67641 | 5 | 5.313 | 12731.2 |
| 207 | 2024-12-10 04:12:26 | galvanized | 1 | 67641 | 5 | 0.983 | 68810.8 |
| 206 | 2024-11-27 10:10:09 | galvanized | 1 | 67641 | 5 | 6.030 | 11217.4 |
| 205 | 2024-11-15 19:21:41 | galvanized | 4 | 161450 | 156 | 56.986 | 2833.2 |
| 204 | 2024-11-15 19:21:39 | galvanized | 2 | 108824 | 9 | 15.753 | 6908.1 |
| 203 | 2024-11-15 19:20:51 | galvanized | 3 | 140603 | 29 | 27.830 | 5052.2 |
| 202 | 2024-11-15 19:15:13 | galvanized | 1 | 67641 | 5 | 3.080 | 21961.4 |
| 201 | 2024-11-15 02:43:09 | galvanized | 4 | 161450 | 156 | 58.580 | 2756.1 |
| 200 | 2024-11-15 02:43:20 | galvanized | 2 | 108824 | 9 | 15.156 | 7180.3 |
| 199 | 2024-11-15 02:38:42 | galvanized | 1 | 67641 | 5 | 3.003 | 22524.5 |
| 198 | 2024-11-10 12:10:38 | galvanized | 3 | 140603 | 29 | 20.483 | 6864.4 |
| 197 | 2024-11-08 19:33:32 | galvanized | 1 | 67641 | 5 | 1.000 | 67641.0 |
| 196 | 2024-11-02 17:05:20 | galvanized | 3 | 140603 | 29 | 40.033 | 3512.2 |
| 195 | 2024-10-27 07:35:20 | galvanized | 1 | 67641 | 5 | 2.030 | 33320.7 |
| 194 | 2024-10-23 14:20:52 | galvanized | 3 | 140603 | 29 | 25.406 | 5534.2 |
| 193 | 2024-10-16 08:44:13 | galvanized | 2 | 108824 | 9 | 22.656 | 4803.3 |
| 192 | 2024-10-15 13:35:13 | galvanized | 1 | 67641 | 5 | 2.360 | 28661.4 |
| 191 | 2024-10-13 15:17:12 | galvanized | 2 | 108824 | 9 | 13.766 | 7905.3 |
| 190 | 2024-10-13 15:15:20 | galvanized | 1 | 67641 | 5 | 1.110 | 60937.8 |
| 189 | 2024-10-09 21:04:54 | galvanized | 2 | 108824 | 9 | 7.610 | 14300.1 |
| 188 | 2024-10-09 17:44:21 | galvanized | 1 | 67641 | 5 | 1.080 | 62630.6 |
| 187 | 2024-10-04 05:29:55 | galvanized | 3 | 140603 | 29 | 39.756 | 3536.6 |
| 186 | 2024-09-28 02:42:28 | galvanized | 3 | 140603 | 29 | 47.406 | 2965.9 |
| 185 | 2024-09-27 03:59:55 | galvanized | 3 | 140603 | 29 | 62.943 | 2233.8 |