History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tearstain"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
170 | 2024-04-29 07:24:08 | tearstain | 3 | 148641 | 15 | 7.440 | 19978.6 |
169 | 2024-04-29 07:24:04 | tearstain | 2 | 121436 | 4 | 3.936 | 30852.6 |
168 | 2024-04-25 06:33:43 | tearstain | 4 | 165329 | 152 | 41.923 | 3943.6 |
167 | 2024-04-25 06:33:43 | tearstain | 3 | 148641 | 15 | 25.126 | 5915.8 |
166 | 2024-04-25 06:33:43 | tearstain | 2 | 121436 | 4 | 10.093 | 12031.7 |
165 | 2024-04-25 06:21:15 | tearstain | 1 | 81242 | 2 | 1.296 | 62686.7 |
164 | 2024-04-13 10:36:36 | tearstain | 1 | 81242 | 2 | 1.423 | 57092.1 |
163 | 2024-04-10 09:23:01 | tearstain | 1 | 81242 | 2 | 1.623 | 50056.7 |
162 | 2024-04-07 13:05:58 | tearstain | 1 | 81242 | 2 | 2.856 | 28446.1 |
161 | 2024-04-05 15:49:50 | tearstain | 4 | 165329 | 152 | 31.876 | 5186.6 |
160 | 2024-04-05 06:40:40 | tearstain | 4 | 165329 | 152 | 28.190 | 5864.8 |
159 | 2024-04-05 06:40:46 | tearstain | 3 | 148641 | 15 | 18.190 | 8171.6 |
158 | 2024-04-05 06:40:44 | tearstain | 2 | 121436 | 4 | 12.626 | 9617.9 |
157 | 2024-04-05 06:40:23 | tearstain | 1 | 81242 | 2 | 2.203 | 36877.9 |
156 | 2024-03-07 05:06:48 | tearstain | 3 | 148641 | 15 | 15.813 | 9399.9 |
155 | 2024-03-07 05:06:46 | tearstain | 2 | 121436 | 4 | 7.283 | 16673.9 |
154 | 2024-03-07 04:52:35 | tearstain | 1 | 81242 | 2 | 1.423 | 57092.1 |
153 | 2024-03-03 14:36:40 | tearstain | 3 | 148641 | 15 | 19.300 | 7701.6 |
152 | 2024-03-03 14:36:39 | tearstain | 2 | 121436 | 4 | 4.626 | 26250.8 |
151 | 2024-03-03 13:45:55 | tearstain | 1 | 81242 | 2 | 1.343 | 60492.9 |
150 | 2024-02-29 12:02:32 | tearstain | 3 | 148641 | 15 | 7.313 | 20325.6 |
149 | 2024-02-29 12:02:12 | tearstain | 4 | 165329 | 152 | 12.690 | 13028.3 |
148 | 2024-02-29 12:02:08 | tearstain | 2 | 121436 | 4 | 3.953 | 30720.0 |
147 | 2024-02-29 12:01:24 | tearstain | 1 | 81242 | 2 | 1.750 | 46424.0 |
146 | 2024-02-27 20:43:45 | tearstain | 1 | 81242 | 2 | 1.470 | 55266.7 |
145 | 2024-02-07 07:58:50 | tearstain | 1 | 81242 | 2 | 1.466 | 55417.5 |
144 | 2024-01-30 14:43:27 | tearstain | 1 | 81242 | 2 | 1.440 | 56418.1 |
143 | 2024-01-30 11:01:31 | tearstain | 1 | 81242 | 2 | 1.203 | 67532.8 |
142 | 2024-01-27 11:53:23 | tearstain | 1 | 81242 | 2 | 1.376 | 59042.2 |
141 | 2024-01-07 22:10:07 | tearstain | 1 | 81242 | 2 | 1.250 | 64993.6 |
140 | 2023-11-30 23:45:03 | tearstain | 1 | 81242 | 2 | 1.470 | 55266.7 |
139 | 2023-06-24 14:20:49 | tearstain | 1 | 81242 | 2 | 1.343 | 60492.9 |
138 | 2023-06-21 04:30:19 | tearstain | 1 | 81242 | 2 | 1.393 | 58321.6 |
137 | 2023-01-15 10:58:34 | tearstain | 1 | 81242 | 2 | 1.220 | 66591.8 |
136 | 2022-07-31 10:39:47 | tearstain | 1 | 81242 | 2 | 1.233 | 65889.7 |
135 | 2022-04-28 00:07:33 | tearstain | 1 | 81242 | 2 | 1.313 | 61875.1 |
134 | 2022-02-03 00:46:33 | tearstain | 1 | 81242 | 2 | 1.266 | 64172.2 |
133 | 2021-12-17 11:50:39 | tearstain | 1 | 81242 | 2 | 1.296 | 62686.7 |
132 | 2021-12-15 17:38:18 | tearstain | 1 | 81242 | 2 | 1.220 | 66591.8 |
131 | 2021-09-27 06:17:23 | tearstain | 1 | 81242 | 2 | 1.373 | 59171.2 |
130 | 2021-09-26 15:13:36 | tearstain | 1 | 81242 | 2 | 1.250 | 64993.6 |
129 | 2021-09-22 16:36:55 | tearstain | 1 | 81242 | 2 | 1.233 | 65889.7 |
128 | 2021-09-05 02:18:30 | tearstain | 1 | 81242 | 2 | 1.250 | 64993.6 |
127 | 2021-09-01 19:09:26 | tearstain | 1 | 81242 | 2 | 1.233 | 65889.7 |
126 | 2021-05-05 07:08:37 | tearstain | 1 | 81242 | 2 | 1.250 | 64993.6 |
125 | 2021-02-28 16:18:46 | tearstain | 1 | 81242 | 2 | 1.233 | 65889.7 |
124 | 2021-02-04 17:09:14 | tearstain | 1 | 81242 | 2 | 1.376 | 59042.2 |
123 | 2021-01-19 21:28:04 | tearstain | 1 | 81242 | 2 | 1.423 | 57092.1 |
122 | 2020-10-30 16:35:25 | tearstain | 1 | 81242 | 2 | 1.500 | 54161.3 |
121 | 2020-10-14 15:18:19 | tearstain | 1 | 81242 | 2 | 1.266 | 64172.2 |
120 | 2020-10-14 01:31:30 | tearstain | 1 | 81242 | 2 | 1.236 | 65729.8 |
119 | 2020-10-11 07:21:49 | tearstain | 1 | 81242 | 2 | 1.266 | 64172.2 |
118 | 2020-06-21 14:37:06 | tearstain | 1 | 81242 | 2 | 1.640 | 49537.8 |
117 | 2020-03-24 00:20:41 | tearstain | 1 | 81242 | 2 | 1.546 | 52549.8 |
116 | 2020-02-17 19:57:51 | tearstain | 1 | 81242 | 2 | 1.453 | 55913.3 |
115 | 2020-02-08 15:38:32 | tearstain | 1 | 81242 | 2 | 1.453 | 55913.3 |
114 | 2020-02-06 02:31:07 | tearstain | 1 | 81242 | 2 | 1.580 | 51419.0 |
113 | 2020-02-05 06:24:59 | tearstain | 1 | 81242 | 2 | 1.436 | 56575.2 |
112 | 2020-01-31 10:06:02 | tearstain | 1 | 81242 | 2 | 2.000 | 40621.0 |
111 | 2020-01-30 04:44:27 | tearstain | 3 | 148641 | 15 | 28.190 | 5272.8 |
110 | 2020-01-29 23:09:16 | tearstain | 3 | 148641 | 15 | 16.596 | 8956.4 |
109 | 2020-01-26 12:23:05 | tearstain | 1 | 81242 | 2 | 1.906 | 42624.3 |
108 | 2020-01-24 17:47:37 | tearstain | 1 | 81242 | 2 | 4.673 | 17385.4 |
107 | 2020-01-17 13:04:44 | tearstain | 1 | 81242 | 2 | 1.656 | 49059.2 |
106 | 2020-01-05 03:13:00 | tearstain | 1 | 81242 | 2 | 1.453 | 55913.3 |
105 | 2020-01-02 05:44:16 | tearstain | 3 | 148641 | 15 | 20.843 | 7131.5 |
104 | 2020-01-01 22:48:16 | tearstain | 1 | 81242 | 2 | 3.236 | 25105.7 |
103 | 2019-10-25 01:50:35 | tearstain | 1 | 81242 | 2 | 1.466 | 55417.5 |
102 | 2019-06-21 10:12:24 | tearstain | 1 | 81242 | 2 | 1.406 | 57782.4 |
101 | 2019-02-09 00:21:02 | tearstain | 1 | 81242 | 2 | 1.380 | 58871.0 |
100 | 2018-11-05 18:34:25 | tearstain | 1 | 81242 | 2 | 1.543 | 52652.0 |
99 | 2018-09-15 10:19:00 | tearstain | 1 | 81242 | 2 | 2.146 | 37857.4 |
98 | 2018-06-25 19:01:49 | tearstain | 1 | 81242 | 2 | 1.330 | 61084.2 |
97 | 2017-12-20 18:54:02 | tearstain | 4 | 165329 | 152 | 17.176 | 9625.6 |
96 | 2017-07-25 13:55:21 | tearstain | 1 | 81242 | 2 | 2.230 | 36431.4 |
95 | 2017-07-25 13:52:06 | tearstain | 1 | 81242 | 2 | 2.516 | 32290.1 |
94 | 2017-03-04 06:48:59 | tearstain | 1 | 81242 | 2 | 1.723 | 47151.5 |
93 | 2017-01-25 11:30:39 | tearstain | 4 | 165329 | 152 | 17.316 | 9547.8 |
92 | 2016-12-01 15:52:35 | tearstain | 1 | 81242 | 2 | 1.823 | 44565.0 |
91 | 2016-10-31 20:35:38 | tearstain | 1 | 81242 | 2 | 1.756 | 46265.4 |
90 | 2016-10-24 02:33:00 | tearstain | 4 | 165329 | 152 | 16.093 | 10273.3 |
89 | 2016-10-21 23:38:51 | tearstain | 4 | 165329 | 152 | 18.306 | 9031.4 |
88 | 2016-10-14 06:08:06 | tearstain | 1 | 81242 | 2 | 2.040 | 39824.5 |
87 | 2016-07-02 11:49:35 | tearstain | 1 | 81242 | 2 | 4.393 | 18493.5 |
86 | 2016-06-29 03:54:03 | tearstain | 2 | 121436 | 4 | 11.993 | 10125.6 |
85 | 2016-06-14 10:42:47 | tearstain | 1 | 81242 | 2 | 2.160 | 37612.0 |
84 | 2016-06-14 09:54:35 | tearstain | 4 | 165329 | 152 | 23.543 | 7022.4 |
83 | 2016-06-12 10:39:36 | tearstain | 4 | 165329 | 152 | 42.836 | 3859.6 |
82 | 2016-06-12 10:30:20 | tearstain | 1 | 81242 | 2 | 4.423 | 18368.1 |
81 | 2016-06-08 05:49:27 | tearstain | 4 | 165329 | 152 | 22.443 | 7366.6 |
80 | 2016-06-08 05:18:45 | tearstain | 1 | 81242 | 2 | 2.206 | 36827.7 |
79 | 2016-06-05 11:01:18 | tearstain | 4 | 165329 | 152 | 20.600 | 8025.7 |
78 | 2016-06-03 13:42:10 | tearstain | 1 | 81242 | 2 | 2.590 | 31367.6 |
77 | 2016-06-03 13:12:19 | tearstain | 4 | 165329 | 152 | 14.533 | 11376.1 |
76 | 2016-06-01 09:39:32 | tearstain | 4 | 165329 | 152 | 23.583 | 7010.5 |
75 | 2016-05-29 13:03:39 | tearstain | 1 | 81242 | 2 | 1.893 | 42917.1 |
74 | 2016-05-28 10:42:14 | tearstain | 4 | 165329 | 152 | 20.880 | 7918.1 |
73 | 2016-05-27 05:08:37 | tearstain | 4 | 165329 | 152 | 13.160 | 12563.0 |
72 | 2016-05-25 00:15:38 | tearstain | 4 | 165329 | 152 | 26.536 | 6230.4 |
71 | 2016-05-23 00:43:34 | tearstain | 1 | 81242 | 2 | 4.076 | 19931.8 |