History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"win"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 2119 | 2026-01-19 23:00:28 | win | 2 | 14084 | 490 | 0.766 | 18386.4 |
| 2118 | 2026-01-17 05:29:29 | win | 1 | 5146 | 35 | 0.110 | 46781.8 |
| 2117 | 2026-01-17 03:03:43 | win | 1 | 5146 | 35 | 0.096 | 53604.2 |
| 2116 | 2026-01-16 09:12:21 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2115 | 2026-01-14 21:20:52 | win | 2 | 14084 | 490 | 0.343 | 41061.2 |
| 2114 | 2026-01-13 23:45:20 | win | 2 | 14084 | 490 | 2.126 | 6624.6 |
| 2113 | 2026-01-10 21:23:38 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2112 | 2026-01-09 09:43:52 | win | 2 | 14084 | 490 | 0.343 | 41061.2 |
| 2111 | 2026-01-05 08:16:34 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2110 | 2026-01-05 03:42:20 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2109 | 2025-12-31 17:59:56 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2108 | 2025-12-30 16:40:44 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2107 | 2025-12-28 16:23:07 | win | 2 | 14084 | 490 | 0.376 | 37457.4 |
| 2106 | 2025-12-27 20:03:51 | win | 1 | 5146 | 35 | 0.203 | 25349.8 |
| 2105 | 2025-12-26 03:24:48 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2104 | 2025-12-25 15:51:14 | win | 1 | 5146 | 35 | 0.110 | 46781.8 |
| 2103 | 2025-12-24 19:24:36 | win | 1 | 5146 | 35 | 0.186 | 27666.7 |
| 2102 | 2025-12-24 00:41:55 | win | 1 | 5146 | 35 | 0.140 | 36757.1 |
| 2101 | 2025-12-24 00:41:30 | win | 1 | 5146 | 35 | 0.516 | 9972.9 |
| 2100 | 2025-12-20 00:54:19 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2099 | 2025-12-19 00:21:27 | win | 1 | 5146 | 35 | 0.186 | 27666.7 |
| 2098 | 2025-12-18 18:39:15 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2097 | 2025-12-18 07:14:21 | win | 1 | 5146 | 35 | 0.090 | 57177.8 |
| 2096 | 2025-12-17 04:52:49 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2095 | 2025-12-15 17:32:41 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2094 | 2025-12-13 11:27:52 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2093 | 2025-12-12 07:08:51 | win | 1 | 5146 | 35 | 0.096 | 53604.2 |
| 2092 | 2025-12-11 03:56:53 | win | 1 | 5146 | 35 | 0.110 | 46781.8 |
| 2091 | 2025-12-08 04:28:47 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2090 | 2025-12-07 22:27:00 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2089 | 2025-12-05 19:54:09 | win | 1 | 5146 | 35 | 0.313 | 16440.9 |
| 2088 | 2025-11-27 23:50:11 | win | 1 | 5146 | 35 | 0.096 | 53604.2 |
| 2087 | 2025-11-26 15:47:50 | win | 1 | 5146 | 35 | 0.263 | 19566.5 |
| 2086 | 2025-11-25 04:22:37 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2085 | 2025-11-25 01:02:26 | win | 1 | 5146 | 35 | 0.110 | 46781.8 |
| 2084 | 2025-11-23 18:09:41 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2083 | 2025-11-23 16:39:21 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2082 | 2025-11-23 13:46:50 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2081 | 2025-11-23 05:51:07 | win | 1 | 5146 | 35 | 0.096 | 53604.2 |
| 2080 | 2025-11-22 07:16:03 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2079 | 2025-11-21 18:13:35 | win | 2 | 14084 | 490 | 0.403 | 34947.9 |
| 2078 | 2025-11-21 15:36:49 | win | 2 | 14084 | 490 | 2.266 | 6215.4 |
| 2077 | 2025-11-21 14:40:00 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2076 | 2025-11-21 09:30:38 | win | 2 | 14084 | 490 | 0.423 | 33295.5 |
| 2075 | 2025-11-20 16:32:49 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2074 | 2025-11-16 07:36:02 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2073 | 2025-11-16 04:28:04 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2072 | 2025-11-15 22:28:45 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2071 | 2025-11-15 21:28:35 | win | 2 | 14084 | 490 | 0.393 | 35837.2 |
| 2070 | 2025-11-15 05:34:50 | win | 2 | 14084 | 490 | 0.393 | 35837.2 |
| 2069 | 2025-11-13 15:23:08 | win | 1 | 5146 | 35 | 0.170 | 30270.6 |
| 2068 | 2025-11-13 04:09:39 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2067 | 2025-11-12 19:01:45 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2066 | 2025-11-12 10:33:53 | win | 2 | 14084 | 490 | 0.750 | 18778.7 |
| 2065 | 2025-11-10 02:55:12 | win | 1 | 5146 | 35 | 0.140 | 36757.1 |
| 2064 | 2025-11-09 23:10:58 | win | 2 | 14084 | 490 | 0.440 | 32009.1 |
| 2063 | 2025-11-09 09:08:41 | win | 1 | 5146 | 35 | 0.106 | 48547.2 |
| 2062 | 2025-11-08 19:45:29 | win | 2 | 14084 | 490 | 0.330 | 42678.8 |
| 2061 | 2025-11-07 23:57:02 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2060 | 2025-11-02 18:24:26 | win | 2 | 14084 | 490 | 0.343 | 41061.2 |
| 2059 | 2025-11-01 12:10:07 | win | 1 | 5146 | 35 | 0.123 | 41837.4 |
| 2058 | 2025-10-27 12:55:41 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2057 | 2025-10-26 17:37:53 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2056 | 2025-10-25 06:02:36 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2055 | 2025-10-25 03:02:42 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2054 | 2025-10-23 15:43:54 | win | 1 | 5146 | 35 | 0.500 | 10292.0 |
| 2053 | 2025-10-21 05:58:11 | win | 1 | 5146 | 35 | 0.593 | 8677.9 |
| 2052 | 2025-10-19 10:36:56 | win | 1 | 5146 | 35 | 0.156 | 32987.2 |
| 2051 | 2025-10-18 15:31:36 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2050 | 2025-10-17 17:53:12 | win | 2 | 14084 | 490 | 0.343 | 41061.2 |
| 2049 | 2025-10-17 10:47:43 | win | 1 | 5146 | 35 | 0.123 | 41837.4 |
| 2048 | 2025-10-17 06:54:24 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2047 | 2025-10-17 05:03:31 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2046 | 2025-10-14 04:59:41 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2045 | 2025-10-08 12:29:13 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2044 | 2025-10-08 03:29:21 | win | 2 | 14084 | 490 | 0.326 | 43202.5 |
| 2043 | 2025-10-07 04:33:24 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2042 | 2025-10-05 20:47:13 | win | 1 | 5146 | 35 | 0.096 | 53604.2 |
| 2041 | 2025-10-05 15:34:36 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2040 | 2025-10-01 04:21:48 | win | 1 | 5146 | 35 | 0.203 | 25349.8 |
| 2039 | 2025-09-30 04:26:24 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2038 | 2025-09-28 21:27:44 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2037 | 2025-09-28 03:09:21 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2036 | 2025-09-27 17:26:52 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2035 | 2025-09-27 17:05:21 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2034 | 2025-09-26 06:47:52 | win | 1 | 5146 | 35 | 0.096 | 53604.2 |
| 2033 | 2025-09-25 21:49:12 | win | 1 | 5146 | 35 | 0.470 | 10948.9 |
| 2032 | 2025-09-25 16:39:09 | win | 1 | 5146 | 35 | 0.486 | 10588.5 |
| 2031 | 2025-09-25 00:04:59 | win | 1 | 5146 | 35 | 0.373 | 13796.2 |
| 2030 | 2025-09-25 00:04:50 | win | 1 | 5146 | 35 | 0.186 | 27666.7 |
| 2029 | 2025-09-25 00:04:44 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2028 | 2025-09-25 00:04:36 | win | 1 | 5146 | 35 | 0.280 | 18378.6 |
| 2027 | 2025-09-23 14:53:44 | win | 1 | 5146 | 35 | 0.080 | 64325.0 |
| 2026 | 2025-09-23 05:54:06 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2025 | 2025-09-22 16:47:21 | win | 1 | 5146 | 35 | 0.063 | 81682.5 |
| 2024 | 2025-09-20 15:24:48 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |
| 2023 | 2025-09-19 03:43:35 | win | 1 | 5146 | 35 | 0.186 | 27666.7 |
| 2022 | 2025-09-18 08:59:16 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2021 | 2025-09-17 15:52:41 | win | 1 | 5146 | 35 | 0.093 | 55333.3 |
| 2020 | 2025-09-16 10:49:19 | win | 1 | 5146 | 35 | 0.076 | 67710.5 |