History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sparsities"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 246 | 2024-05-05 16:44:15 | sparsities | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 245 | 2024-05-03 03:44:27 | sparsities | 2 | 108824 | 4 | 3.530 | 30828.3 |
| 244 | 2024-05-03 00:37:59 | sparsities | 1 | 67641 | 1 | 2.486 | 27208.8 |
| 243 | 2024-04-18 13:34:09 | sparsities | 4 | 161450 | 367 | 34.563 | 4671.2 |
| 242 | 2024-04-16 20:02:21 | sparsities | 4 | 161450 | 367 | 40.220 | 4014.2 |
| 241 | 2024-04-16 11:01:01 | sparsities | 3 | 140603 | 38 | 24.610 | 5713.2 |
| 240 | 2024-04-16 02:28:19 | sparsities | 4 | 161450 | 367 | 24.330 | 6635.8 |
| 239 | 2024-04-15 22:07:27 | sparsities | 4 | 161450 | 367 | 13.796 | 11702.7 |
| 238 | 2024-04-15 19:01:02 | sparsities | 3 | 140603 | 38 | 6.703 | 20976.1 |
| 237 | 2024-04-15 03:57:49 | sparsities | 3 | 140603 | 38 | 16.456 | 8544.2 |
| 236 | 2024-04-15 03:57:49 | sparsities | 2 | 108824 | 4 | 4.033 | 26983.4 |
| 235 | 2024-04-15 03:56:17 | sparsities | 1 | 67641 | 1 | 2.763 | 24481.0 |
| 234 | 2024-04-14 20:48:06 | sparsities | 4 | 161450 | 367 | 26.876 | 6007.2 |
| 233 | 2024-04-14 08:40:47 | sparsities | 2 | 108824 | 4 | 3.596 | 30262.5 |
| 232 | 2024-04-14 07:26:55 | sparsities | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 231 | 2024-04-14 04:35:41 | sparsities | 3 | 140603 | 38 | 17.516 | 8027.1 |
| 230 | 2024-04-14 04:34:50 | sparsities | 4 | 161450 | 367 | 19.660 | 8212.1 |
| 229 | 2024-04-14 03:41:52 | sparsities | 3 | 140603 | 38 | 22.470 | 6257.4 |
| 228 | 2024-04-14 03:41:39 | sparsities | 4 | 161450 | 367 | 28.236 | 5717.9 |
| 227 | 2024-04-14 03:41:56 | sparsities | 2 | 108824 | 4 | 7.423 | 14660.4 |
| 226 | 2024-04-14 03:38:05 | sparsities | 1 | 67641 | 1 | 4.033 | 16771.9 |
| 225 | 2024-04-11 14:21:07 | sparsities | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 224 | 2024-04-07 11:11:26 | sparsities | 3 | 140603 | 38 | 19.253 | 7302.9 |
| 223 | 2024-04-07 11:11:26 | sparsities | 2 | 108824 | 4 | 7.296 | 14915.6 |
| 222 | 2024-04-07 10:54:31 | sparsities | 1 | 67641 | 1 | 6.313 | 10714.6 |
| 221 | 2024-03-15 08:33:51 | sparsities | 4 | 161450 | 367 | 36.750 | 4393.2 |
| 220 | 2024-03-14 22:10:23 | sparsities | 4 | 161450 | 367 | 27.610 | 5847.5 |
| 219 | 2024-03-14 10:54:55 | sparsities | 4 | 161450 | 367 | 29.753 | 5426.3 |
| 218 | 2024-03-13 20:47:14 | sparsities | 3 | 140603 | 38 | 24.376 | 5768.1 |
| 217 | 2024-03-13 11:48:33 | sparsities | 3 | 140603 | 38 | 22.703 | 6193.1 |
| 216 | 2024-03-13 11:48:33 | sparsities | 4 | 161450 | 367 | 15.080 | 10706.2 |
| 215 | 2024-03-13 06:43:00 | sparsities | 4 | 161450 | 367 | 45.533 | 3545.8 |
| 214 | 2024-03-13 06:43:11 | sparsities | 2 | 108824 | 4 | 10.393 | 10470.9 |
| 213 | 2024-03-13 06:43:06 | sparsities | 3 | 140603 | 38 | 8.233 | 17078.0 |
| 212 | 2024-03-13 05:30:16 | sparsities | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 211 | 2024-02-13 14:34:23 | sparsities | 3 | 140603 | 38 | 22.126 | 6354.7 |
| 210 | 2024-02-13 14:34:25 | sparsities | 4 | 161450 | 367 | 19.000 | 8497.4 |
| 209 | 2024-02-13 10:00:05 | sparsities | 4 | 161450 | 367 | 38.233 | 4222.8 |
| 208 | 2024-02-13 10:00:07 | sparsities | 2 | 108824 | 4 | 11.033 | 9863.5 |
| 207 | 2024-02-13 10:00:06 | sparsities | 3 | 140603 | 38 | 8.186 | 17176.0 |
| 206 | 2024-02-13 06:46:11 | sparsities | 1 | 67641 | 1 | 1.283 | 52721.0 |
| 205 | 2024-02-11 21:25:50 | sparsities | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 204 | 2024-01-31 01:39:54 | sparsities | 1 | 67641 | 1 | 1.763 | 38367.0 |
| 203 | 2024-01-14 01:16:48 | sparsities | 2 | 108824 | 4 | 3.203 | 33975.6 |
| 202 | 2024-01-06 18:21:59 | sparsities | 1 | 67641 | 1 | 1.106 | 61158.2 |
| 201 | 2023-12-30 02:37:39 | sparsities | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 200 | 2023-12-27 16:38:03 | sparsities | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 199 | 2023-12-10 20:15:08 | sparsities | 4 | 161450 | 367 | 13.033 | 12387.8 |
| 198 | 2023-12-10 09:09:34 | sparsities | 3 | 140603 | 38 | 5.580 | 25197.7 |
| 197 | 2023-11-13 06:43:28 | sparsities | 1 | 67641 | 1 | 1.060 | 63812.3 |
| 196 | 2023-10-22 13:15:22 | sparsities | 2 | 108824 | 4 | 2.766 | 39343.5 |
| 195 | 2023-09-11 12:23:28 | sparsities | 4 | 161450 | 367 | 9.906 | 16298.2 |
| 194 | 2023-09-09 06:03:18 | sparsities | 3 | 140603 | 38 | 6.253 | 22485.7 |
| 193 | 2023-08-02 00:32:47 | sparsities | 2 | 108824 | 4 | 2.936 | 37065.4 |
| 192 | 2023-07-03 17:14:31 | sparsities | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 191 | 2023-06-05 18:24:17 | sparsities | 3 | 140603 | 38 | 6.326 | 22226.2 |
| 190 | 2023-05-12 14:55:25 | sparsities | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 189 | 2023-04-12 04:02:40 | sparsities | 2 | 108824 | 4 | 3.190 | 34114.1 |
| 188 | 2023-04-04 09:34:53 | sparsities | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 187 | 2023-03-12 16:16:45 | sparsities | 4 | 161450 | 367 | 9.750 | 16559.0 |
| 186 | 2023-03-11 07:47:50 | sparsities | 3 | 140603 | 38 | 6.436 | 21846.3 |
| 185 | 2023-02-24 23:08:55 | sparsities | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 184 | 2023-01-27 06:19:22 | sparsities | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 183 | 2023-01-20 07:41:35 | sparsities | 4 | 161450 | 367 | 10.970 | 14717.4 |
| 182 | 2023-01-17 04:30:48 | sparsities | 2 | 108824 | 4 | 3.076 | 35378.4 |
| 181 | 2022-12-17 10:59:27 | sparsities | 3 | 140603 | 38 | 6.686 | 21029.5 |
| 180 | 2022-12-17 10:49:54 | sparsities | 4 | 161450 | 367 | 10.846 | 14885.7 |
| 179 | 2022-12-12 18:02:16 | sparsities | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 178 | 2022-12-06 07:22:13 | sparsities | 4 | 161450 | 367 | 11.576 | 13947.0 |
| 177 | 2022-11-08 11:59:10 | sparsities | 4 | 161450 | 367 | 14.893 | 10840.7 |
| 176 | 2022-11-06 14:30:00 | sparsities | 1 | 67641 | 1 | 1.160 | 58311.2 |
| 175 | 2022-10-27 23:37:50 | sparsities | 2 | 108824 | 4 | 2.906 | 37448.0 |
| 174 | 2022-10-26 07:58:55 | sparsities | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 173 | 2022-10-22 08:56:14 | sparsities | 4 | 161450 | 367 | 11.783 | 13701.9 |
| 172 | 2022-10-20 07:57:32 | sparsities | 4 | 161450 | 367 | 10.030 | 16096.7 |
| 171 | 2022-10-13 23:21:28 | sparsities | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 170 | 2022-09-22 18:42:29 | sparsities | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 169 | 2022-09-17 16:26:42 | sparsities | 4 | 161450 | 367 | 9.813 | 16452.7 |
| 168 | 2022-08-11 18:08:31 | sparsities | 4 | 161450 | 367 | 9.923 | 16270.3 |
| 167 | 2022-08-07 11:49:32 | sparsities | 3 | 140603 | 38 | 5.580 | 25197.7 |
| 166 | 2022-08-06 15:25:25 | sparsities | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 165 | 2022-06-12 11:10:23 | sparsities | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 164 | 2022-05-25 19:25:17 | sparsities | 2 | 108824 | 4 | 2.733 | 39818.5 |
| 163 | 2022-03-27 07:21:45 | sparsities | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 162 | 2022-03-12 22:37:26 | sparsities | 3 | 140603 | 38 | 5.826 | 24133.7 |
| 161 | 2022-02-04 12:16:52 | sparsities | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 160 | 2022-01-02 03:15:03 | sparsities | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 159 | 2021-12-19 01:44:20 | sparsities | 3 | 140603 | 38 | 5.750 | 24452.7 |
| 158 | 2021-11-14 23:34:16 | sparsities | 1 | 67641 | 1 | 1.343 | 50365.6 |
| 157 | 2021-11-12 21:54:42 | sparsities | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 156 | 2021-10-11 20:37:19 | sparsities | 1 | 67641 | 1 | 1.136 | 59543.1 |
| 155 | 2021-08-22 12:59:12 | sparsities | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 154 | 2021-08-07 16:02:26 | sparsities | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 153 | 2021-07-15 23:51:58 | sparsities | 1 | 67641 | 1 | 1.050 | 64420.0 |
| 152 | 2021-07-10 10:03:13 | sparsities | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 151 | 2021-07-08 09:21:25 | sparsities | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 150 | 2021-06-21 21:14:48 | sparsities | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 149 | 2021-05-30 14:22:52 | sparsities | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 148 | 2021-05-22 16:53:41 | sparsities | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 147 | 2021-04-06 14:45:54 | sparsities | 1 | 67641 | 1 | 1.110 | 60937.8 |