History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"workhorses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 183 | 2024-04-29 14:16:53 | workhorses | 3 | 140603 | 22 | 6.593 | 21326.1 |
| 182 | 2024-04-13 19:02:53 | workhorses | 3 | 140603 | 22 | 16.533 | 8504.4 |
| 181 | 2024-04-13 19:02:48 | workhorses | 2 | 108824 | 7 | 8.030 | 13552.2 |
| 180 | 2024-04-12 18:07:09 | workhorses | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 179 | 2024-04-12 15:09:56 | workhorses | 1 | 67641 | 3 | 3.906 | 17317.2 |
| 178 | 2024-04-10 14:00:46 | workhorses | 4 | 161450 | 125 | 41.533 | 3887.3 |
| 177 | 2024-04-08 12:43:26 | workhorses | 4 | 161450 | 125 | 51.206 | 3153.0 |
| 176 | 2024-04-08 12:31:43 | workhorses | 1 | 67641 | 3 | 1.390 | 48662.6 |
| 175 | 2024-04-05 11:33:59 | workhorses | 3 | 140603 | 22 | 18.266 | 7697.5 |
| 174 | 2024-04-05 11:33:58 | workhorses | 2 | 108824 | 7 | 8.266 | 13165.3 |
| 173 | 2024-04-04 21:39:26 | workhorses | 3 | 140603 | 22 | 24.096 | 5835.1 |
| 172 | 2024-04-04 21:39:43 | workhorses | 1 | 67641 | 3 | 4.453 | 15190.0 |
| 171 | 2024-04-04 21:39:24 | workhorses | 2 | 108824 | 7 | 3.800 | 28637.9 |
| 170 | 2024-04-04 12:58:24 | workhorses | 1 | 67641 | 3 | 1.266 | 53428.9 |
| 169 | 2024-03-22 16:38:46 | workhorses | 4 | 161450 | 125 | 39.800 | 4056.5 |
| 168 | 2024-03-20 13:53:26 | workhorses | 1 | 67641 | 3 | 4.800 | 14091.9 |
| 167 | 2024-03-16 12:54:05 | workhorses | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 166 | 2024-03-16 07:51:05 | workhorses | 3 | 140603 | 22 | 16.563 | 8489.0 |
| 165 | 2024-03-16 07:51:03 | workhorses | 2 | 108824 | 7 | 8.766 | 12414.3 |
| 164 | 2024-03-15 03:29:07 | workhorses | 4 | 161450 | 125 | 13.516 | 11945.1 |
| 163 | 2024-03-11 12:55:22 | workhorses | 3 | 140603 | 22 | 7.843 | 17927.2 |
| 162 | 2024-03-11 12:55:18 | workhorses | 2 | 108824 | 7 | 3.923 | 27740.0 |
| 161 | 2024-03-11 12:54:38 | workhorses | 4 | 161450 | 125 | 36.236 | 4455.5 |
| 160 | 2024-03-11 12:54:32 | workhorses | 1 | 67641 | 3 | 2.530 | 26735.6 |
| 159 | 2024-03-11 12:54:19 | workhorses | 1 | 67641 | 3 | 3.800 | 17800.3 |
| 158 | 2024-03-02 08:59:52 | workhorses | 3 | 140603 | 22 | 12.720 | 11053.7 |
| 157 | 2024-03-02 08:59:54 | workhorses | 2 | 108824 | 7 | 8.936 | 12178.2 |
| 156 | 2024-03-02 08:57:20 | workhorses | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 155 | 2024-02-17 17:08:57 | workhorses | 4 | 161450 | 125 | 22.690 | 7115.5 |
| 154 | 2024-02-14 07:07:58 | workhorses | 4 | 161450 | 125 | 30.643 | 5268.7 |
| 153 | 2024-02-11 01:27:16 | workhorses | 2 | 108824 | 7 | 3.406 | 31950.7 |
| 152 | 2024-02-10 07:32:39 | workhorses | 4 | 161450 | 125 | 31.643 | 5102.2 |
| 151 | 2024-02-10 07:32:45 | workhorses | 3 | 140603 | 22 | 18.406 | 7639.0 |
| 150 | 2024-02-10 07:32:41 | workhorses | 2 | 108824 | 7 | 10.846 | 10033.6 |
| 149 | 2024-02-10 06:54:48 | workhorses | 1 | 67641 | 3 | 3.750 | 18037.6 |
| 148 | 2024-02-03 04:00:54 | workhorses | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 147 | 2024-01-31 05:11:47 | workhorses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 146 | 2024-01-11 03:24:31 | workhorses | 4 | 161450 | 125 | 13.436 | 12016.2 |
| 145 | 2024-01-11 03:24:29 | workhorses | 3 | 140603 | 22 | 9.173 | 15327.9 |
| 144 | 2024-01-11 03:24:30 | workhorses | 2 | 108824 | 7 | 2.860 | 38050.3 |
| 143 | 2024-01-08 02:04:17 | workhorses | 1 | 67641 | 3 | 0.983 | 68810.8 |
| 142 | 2024-01-02 05:51:10 | workhorses | 2 | 108824 | 7 | 2.813 | 38686.1 |
| 141 | 2023-12-25 02:34:13 | workhorses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 140 | 2023-12-23 22:44:32 | workhorses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 139 | 2023-12-21 16:52:43 | workhorses | 3 | 140603 | 22 | 6.110 | 23011.9 |
| 138 | 2023-11-15 01:34:28 | workhorses | 1 | 67641 | 3 | 1.000 | 67641.0 |
| 137 | 2023-10-13 22:52:16 | workhorses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 136 | 2023-10-08 12:31:01 | workhorses | 2 | 108824 | 7 | 3.016 | 36082.2 |
| 135 | 2023-09-22 23:32:15 | workhorses | 3 | 140603 | 22 | 5.440 | 25846.1 |
| 134 | 2023-07-19 12:47:16 | workhorses | 2 | 108824 | 7 | 2.576 | 42245.3 |
| 133 | 2023-07-02 23:54:26 | workhorses | 3 | 140603 | 22 | 5.906 | 23806.8 |
| 132 | 2023-04-04 13:28:57 | workhorses | 2 | 108824 | 7 | 2.906 | 37448.0 |
| 131 | 2023-03-27 17:38:11 | workhorses | 3 | 140603 | 22 | 5.843 | 24063.5 |
| 130 | 2023-01-19 10:05:38 | workhorses | 3 | 140603 | 22 | 6.483 | 21688.0 |
| 129 | 2023-01-03 03:45:24 | workhorses | 2 | 108824 | 7 | 2.860 | 38050.3 |
| 128 | 2022-12-25 08:18:31 | workhorses | 3 | 140603 | 22 | 5.533 | 25411.7 |
| 127 | 2022-12-05 10:44:00 | workhorses | 3 | 140603 | 22 | 5.313 | 26464.0 |
| 126 | 2022-11-09 00:53:16 | workhorses | 3 | 140603 | 22 | 5.826 | 24133.7 |
| 125 | 2022-09-04 05:47:03 | workhorses | 2 | 108824 | 7 | 2.560 | 42509.4 |
| 124 | 2022-08-25 01:26:58 | workhorses | 3 | 140603 | 22 | 5.280 | 26629.4 |
| 123 | 2022-07-18 17:44:54 | workhorses | 4 | 161450 | 125 | 9.000 | 17938.9 |
| 122 | 2022-06-28 18:29:14 | workhorses | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 121 | 2022-06-26 14:36:08 | workhorses | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 120 | 2022-03-05 21:49:19 | workhorses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 119 | 2022-03-03 17:16:47 | workhorses | 1 | 67641 | 3 | 1.546 | 43752.3 |
| 118 | 2021-05-10 14:44:47 | workhorses | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 117 | 2021-02-24 21:06:33 | workhorses | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 116 | 2021-02-23 00:31:50 | workhorses | 2 | 108824 | 7 | 2.766 | 39343.5 |
| 115 | 2021-02-19 05:31:45 | workhorses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 114 | 2021-01-24 01:22:40 | workhorses | 1 | 67641 | 3 | 0.983 | 68810.8 |
| 113 | 2020-11-10 22:01:52 | workhorses | 1 | 67641 | 3 | 0.983 | 68810.8 |
| 112 | 2020-11-08 09:30:03 | workhorses | 1 | 67641 | 3 | 1.013 | 66773.0 |
| 111 | 2020-11-04 23:04:33 | workhorses | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 110 | 2020-11-04 05:52:02 | workhorses | 1 | 67641 | 3 | 0.983 | 68810.8 |
| 109 | 2020-03-25 05:32:09 | workhorses | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 108 | 2020-03-15 01:46:06 | workhorses | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 107 | 2020-02-11 11:32:13 | workhorses | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 106 | 2020-02-07 05:31:07 | workhorses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 105 | 2020-02-02 06:33:10 | workhorses | 1 | 67641 | 3 | 3.483 | 19420.3 |
| 104 | 2020-01-31 13:47:17 | workhorses | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 103 | 2020-01-31 11:42:10 | workhorses | 1 | 67641 | 3 | 1.296 | 52192.1 |
| 102 | 2020-01-26 19:38:09 | workhorses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 101 | 2020-01-15 16:46:09 | workhorses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 100 | 2020-01-07 12:27:10 | workhorses | 1 | 67641 | 3 | 1.420 | 47634.5 |
| 99 | 2020-01-06 20:14:39 | workhorses | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 98 | 2019-11-30 15:34:55 | workhorses | 1 | 67641 | 3 | 0.983 | 68810.8 |
| 97 | 2019-08-29 03:26:22 | workhorses | 1 | 67641 | 3 | 1.043 | 64852.3 |
| 96 | 2019-05-07 11:32:02 | workhorses | 1 | 67641 | 3 | 1.090 | 62056.0 |
| 95 | 2019-03-01 05:55:36 | workhorses | 1 | 67641 | 3 | 0.960 | 70459.4 |
| 94 | 2018-12-29 11:36:07 | workhorses | 1 | 67641 | 3 | 0.943 | 71729.6 |
| 93 | 2018-11-12 11:42:19 | workhorses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 92 | 2018-08-29 03:44:25 | workhorses | 1 | 67641 | 3 | 1.023 | 66120.2 |
| 91 | 2018-08-07 12:55:22 | workhorses | 1 | 67641 | 3 | 2.316 | 29206.0 |
| 90 | 2018-08-06 22:24:10 | workhorses | 1 | 67641 | 3 | 1.130 | 59859.3 |
| 89 | 2018-08-02 15:53:19 | workhorses | 1 | 67641 | 3 | 1.033 | 65480.2 |
| 88 | 2018-07-03 13:56:00 | workhorses | 1 | 67641 | 3 | 1.113 | 60773.6 |
| 87 | 2018-06-24 11:26:05 | workhorses | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 86 | 2018-05-13 05:22:29 | workhorses | 1 | 67641 | 3 | 0.976 | 69304.3 |
| 85 | 2018-04-26 05:03:42 | workhorses | 1 | 67641 | 3 | 0.980 | 69021.4 |
| 84 | 2018-02-28 04:37:31 | workhorses | 1 | 67641 | 3 | 1.530 | 44209.8 |