History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"quantizing"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 248 | 2024-04-18 10:31:53 | quantizing | 4 | 161450 | 224 | 44.673 | 3614.0 |
| 247 | 2024-04-18 00:52:25 | quantizing | 4 | 161450 | 224 | 46.753 | 3453.3 |
| 246 | 2024-04-17 05:57:44 | quantizing | 4 | 161450 | 224 | 40.610 | 3975.6 |
| 245 | 2024-04-17 05:57:46 | quantizing | 2 | 108824 | 3 | 14.953 | 7277.7 |
| 244 | 2024-04-17 05:57:46 | quantizing | 3 | 140603 | 29 | 12.203 | 11522.0 |
| 243 | 2024-04-17 05:41:39 | quantizing | 1 | 67641 | 1 | 2.546 | 26567.6 |
| 242 | 2024-04-09 00:56:29 | quantizing | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 241 | 2024-03-28 04:30:00 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 240 | 2024-03-21 19:02:13 | quantizing | 3 | 140603 | 29 | 15.390 | 9136.0 |
| 239 | 2024-03-20 08:03:49 | quantizing | 3 | 140603 | 29 | 21.330 | 6591.8 |
| 238 | 2024-03-20 08:03:49 | quantizing | 2 | 108824 | 3 | 8.253 | 13186.0 |
| 237 | 2024-03-20 07:54:03 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 236 | 2024-03-15 18:02:52 | quantizing | 2 | 108824 | 3 | 10.156 | 10715.2 |
| 235 | 2024-03-15 17:38:15 | quantizing | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 234 | 2024-03-08 19:37:33 | quantizing | 4 | 161450 | 224 | 23.876 | 6762.0 |
| 233 | 2024-03-07 15:29:48 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 232 | 2024-03-07 09:30:58 | quantizing | 3 | 140603 | 29 | 14.390 | 9770.9 |
| 231 | 2024-03-07 08:53:13 | quantizing | 4 | 161450 | 224 | 25.706 | 6280.6 |
| 230 | 2024-03-07 03:12:35 | quantizing | 3 | 140603 | 29 | 13.110 | 10724.9 |
| 229 | 2024-03-07 03:12:34 | quantizing | 4 | 161450 | 224 | 12.546 | 12868.6 |
| 228 | 2024-03-07 03:12:36 | quantizing | 2 | 108824 | 3 | 5.016 | 21695.4 |
| 227 | 2024-03-07 03:12:34 | quantizing | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 226 | 2024-03-06 20:45:06 | quantizing | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 225 | 2024-02-06 11:54:05 | quantizing | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 224 | 2024-02-05 12:15:03 | quantizing | 4 | 161450 | 224 | 44.063 | 3664.1 |
| 223 | 2024-02-05 12:15:15 | quantizing | 3 | 140603 | 29 | 9.656 | 14561.2 |
| 222 | 2024-02-05 12:15:07 | quantizing | 2 | 108824 | 3 | 6.406 | 16987.8 |
| 221 | 2024-02-05 11:08:02 | quantizing | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 220 | 2024-02-02 22:20:01 | quantizing | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 219 | 2024-01-29 13:35:07 | quantizing | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 218 | 2024-01-25 07:26:00 | quantizing | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 217 | 2024-01-20 19:02:43 | quantizing | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 216 | 2023-12-17 00:30:39 | quantizing | 3 | 140603 | 29 | 5.406 | 26008.7 |
| 215 | 2023-12-05 02:45:27 | quantizing | 3 | 140603 | 29 | 5.796 | 24258.6 |
| 214 | 2023-12-05 02:45:23 | quantizing | 2 | 108824 | 3 | 3.016 | 36082.2 |
| 213 | 2023-12-05 02:45:15 | quantizing | 4 | 161450 | 224 | 10.280 | 15705.3 |
| 212 | 2023-11-21 21:03:08 | quantizing | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 211 | 2023-10-28 07:39:04 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 210 | 2023-10-28 02:16:24 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 209 | 2023-10-10 15:52:57 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 208 | 2023-09-16 21:52:11 | quantizing | 3 | 140603 | 29 | 5.470 | 25704.4 |
| 207 | 2023-09-07 22:07:20 | quantizing | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 206 | 2023-06-14 04:48:58 | quantizing | 1 | 67641 | 1 | 0.936 | 72266.0 |
| 205 | 2023-06-13 09:26:05 | quantizing | 3 | 140603 | 29 | 5.233 | 26868.5 |
| 204 | 2023-05-31 16:19:36 | quantizing | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 203 | 2023-05-12 07:02:13 | quantizing | 2 | 108824 | 3 | 2.333 | 46645.5 |
| 202 | 2023-03-30 21:43:23 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 201 | 2023-03-14 05:27:55 | quantizing | 3 | 140603 | 29 | 6.126 | 22951.8 |
| 200 | 2023-01-25 13:08:45 | quantizing | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 199 | 2023-01-12 23:16:28 | quantizing | 1 | 67641 | 1 | 0.936 | 72266.0 |
| 198 | 2022-12-17 10:15:21 | quantizing | 3 | 140603 | 29 | 5.300 | 26528.9 |
| 197 | 2022-10-30 21:38:10 | quantizing | 1 | 67641 | 1 | 0.936 | 72266.0 |
| 196 | 2022-09-15 23:55:46 | quantizing | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 195 | 2022-08-07 09:24:55 | quantizing | 3 | 140603 | 29 | 5.550 | 25333.9 |
| 194 | 2022-06-03 15:56:03 | quantizing | 1 | 67641 | 1 | 0.953 | 70976.9 |
| 193 | 2022-04-22 05:01:50 | quantizing | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 192 | 2021-12-17 21:08:33 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 191 | 2021-12-16 13:29:36 | quantizing | 2 | 108824 | 3 | 2.610 | 41695.0 |
| 190 | 2021-12-16 13:20:00 | quantizing | 2 | 108824 | 3 | 2.593 | 41968.4 |
| 189 | 2021-12-15 05:04:54 | quantizing | 2 | 108824 | 3 | 3.343 | 32552.8 |
| 188 | 2021-12-09 11:13:52 | quantizing | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 187 | 2021-09-14 06:20:04 | quantizing | 1 | 67641 | 1 | 0.940 | 71958.5 |
| 186 | 2021-08-21 20:21:21 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 185 | 2021-05-11 02:52:12 | quantizing | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 184 | 2021-02-23 08:35:58 | quantizing | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 183 | 2021-02-04 22:27:57 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 182 | 2021-01-14 22:47:39 | quantizing | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 181 | 2020-10-24 00:05:15 | quantizing | 1 | 67641 | 1 | 0.966 | 70021.7 |
| 180 | 2020-09-30 11:07:16 | quantizing | 1 | 67641 | 1 | 0.936 | 72266.0 |
| 179 | 2020-06-11 10:19:49 | quantizing | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 178 | 2020-03-29 06:33:44 | quantizing | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 177 | 2020-03-24 11:06:40 | quantizing | 1 | 67641 | 1 | 2.310 | 29281.8 |
| 176 | 2020-03-06 22:33:23 | quantizing | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 175 | 2020-03-03 00:05:40 | quantizing | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 174 | 2020-02-26 02:24:47 | quantizing | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 173 | 2020-02-23 22:19:33 | quantizing | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 172 | 2020-02-23 17:16:19 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 171 | 2020-02-23 14:22:04 | quantizing | 1 | 67641 | 1 | 2.266 | 29850.4 |
| 170 | 2020-02-06 07:47:17 | quantizing | 1 | 67641 | 1 | 1.923 | 35174.7 |
| 169 | 2020-01-30 21:04:56 | quantizing | 1 | 67641 | 1 | 1.936 | 34938.5 |
| 168 | 2020-01-25 19:07:35 | quantizing | 1 | 67641 | 1 | 3.330 | 20312.6 |
| 167 | 2020-01-24 04:53:59 | quantizing | 1 | 67641 | 1 | 1.343 | 50365.6 |
| 166 | 2020-01-18 09:25:46 | quantizing | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 165 | 2020-01-17 12:54:26 | quantizing | 1 | 67641 | 1 | 3.310 | 20435.3 |
| 164 | 2020-01-03 01:15:54 | quantizing | 1 | 67641 | 1 | 2.640 | 25621.6 |
| 163 | 2019-12-31 19:42:39 | quantizing | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 162 | 2019-12-01 01:56:02 | quantizing | 1 | 67641 | 1 | 1.936 | 34938.5 |
| 161 | 2019-08-29 14:33:30 | quantizing | 1 | 67641 | 1 | 0.910 | 74330.8 |
| 160 | 2019-05-23 17:16:42 | quantizing | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 159 | 2019-01-29 14:23:44 | quantizing | 1 | 67641 | 1 | 1.090 | 62056.0 |
| 158 | 2018-12-03 16:38:38 | quantizing | 1 | 67641 | 1 | 1.086 | 62284.5 |
| 157 | 2018-10-12 01:25:53 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 156 | 2018-10-02 06:10:45 | quantizing | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 155 | 2018-07-02 21:43:56 | quantizing | 1 | 67641 | 1 | 1.090 | 62056.0 |
| 154 | 2018-07-02 05:24:58 | quantizing | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 153 | 2018-06-19 13:49:38 | quantizing | 1 | 67641 | 1 | 1.006 | 67237.6 |
| 152 | 2018-06-19 09:34:54 | quantizing | 1 | 67641 | 1 | 1.040 | 65039.4 |
| 151 | 2018-05-04 07:29:03 | quantizing | 1 | 67641 | 1 | 1.073 | 63039.1 |
| 150 | 2018-04-16 08:57:51 | quantizing | 1 | 67641 | 1 | 1.036 | 65290.5 |
| 149 | 2018-03-14 02:18:16 | quantizing | 1 | 67641 | 1 | 1.303 | 51911.7 |