History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bows"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1968 | 2026-04-16 13:20:30 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1967 | 2026-04-13 13:08:28 | bows | 1 | 13983 | 31 | 0.563 | 24836.6 |
| 1966 | 2026-04-13 12:50:25 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1965 | 2026-04-08 22:39:45 | bows | 1 | 13983 | 31 | 1.093 | 12793.2 |
| 1964 | 2026-04-08 22:30:33 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1963 | 2026-04-06 12:05:46 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1962 | 2026-04-04 12:26:52 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1961 | 2026-04-01 13:55:40 | bows | 1 | 13983 | 31 | 1.390 | 10059.7 |
| 1960 | 2026-03-25 07:21:28 | bows | 2 | 29872 | 460 | 2.096 | 14251.9 |
| 1959 | 2026-03-24 16:34:15 | bows | 2 | 29872 | 460 | 4.156 | 7187.7 |
| 1958 | 2026-03-23 16:19:42 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1957 | 2026-03-19 18:39:00 | bows | 2 | 29872 | 460 | 1.656 | 18038.6 |
| 1956 | 2026-03-19 18:25:12 | bows | 1 | 13983 | 31 | 0.686 | 20383.4 |
| 1955 | 2026-03-18 20:39:45 | bows | 2 | 29872 | 460 | 0.983 | 30388.6 |
| 1954 | 2026-03-11 19:32:36 | bows | 2 | 29872 | 460 | 0.906 | 32971.3 |
| 1953 | 2026-03-11 00:38:21 | bows | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1952 | 2026-03-10 23:35:24 | bows | 1 | 13983 | 31 | 0.516 | 27098.8 |
| 1951 | 2026-03-10 15:21:51 | bows | 1 | 13983 | 31 | 0.750 | 18644.0 |
| 1950 | 2026-03-10 06:38:34 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1949 | 2026-03-07 03:48:37 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1948 | 2026-03-06 11:49:09 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1947 | 2026-03-06 10:54:09 | bows | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1946 | 2026-03-06 10:00:50 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1945 | 2026-03-05 07:18:44 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1944 | 2026-03-04 22:27:39 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1943 | 2026-03-04 16:00:57 | bows | 1 | 13983 | 31 | 0.280 | 49939.3 |
| 1942 | 2026-03-04 12:36:38 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1941 | 2026-03-04 08:34:58 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1940 | 2026-03-04 08:20:05 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1939 | 2026-03-03 16:50:02 | bows | 2 | 29872 | 460 | 0.780 | 38297.4 |
| 1938 | 2026-03-03 12:55:40 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1937 | 2026-03-03 02:05:48 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1936 | 2026-03-02 17:52:38 | bows | 1 | 13983 | 31 | 0.313 | 44674.1 |
| 1935 | 2026-03-02 14:34:53 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1934 | 2026-03-02 04:18:43 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1933 | 2026-02-28 01:50:14 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1932 | 2026-02-21 23:07:19 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1931 | 2026-02-20 17:15:54 | bows | 2 | 29872 | 460 | 0.766 | 38997.4 |
| 1930 | 2026-02-20 15:56:20 | bows | 1 | 13983 | 31 | 0.280 | 49939.3 |
| 1929 | 2026-02-15 05:30:23 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1928 | 2026-02-15 02:17:29 | bows | 1 | 13983 | 31 | 0.703 | 19890.5 |
| 1927 | 2026-02-12 15:16:56 | bows | 1 | 13983 | 31 | 1.156 | 12096.0 |
| 1926 | 2026-02-12 15:16:42 | bows | 1 | 13983 | 31 | 1.000 | 13983.0 |
| 1925 | 2026-02-11 17:33:55 | bows | 2 | 29872 | 460 | 2.173 | 13746.9 |
| 1924 | 2026-02-11 09:28:21 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1923 | 2026-02-09 13:32:25 | bows | 1 | 13983 | 31 | 0.563 | 24836.6 |
| 1922 | 2026-02-07 14:32:17 | bows | 1 | 13983 | 31 | 1.580 | 8850.0 |
| 1921 | 2026-02-07 14:31:52 | bows | 1 | 13983 | 31 | 0.686 | 20383.4 |
| 1920 | 2026-02-07 14:31:35 | bows | 1 | 13983 | 31 | 0.296 | 47239.9 |
| 1919 | 2026-02-05 23:19:01 | bows | 2 | 29872 | 460 | 1.720 | 17367.4 |
| 1918 | 2026-02-05 23:00:04 | bows | 2 | 29872 | 460 | 1.750 | 17069.7 |
| 1917 | 2026-02-05 16:00:13 | bows | 2 | 29872 | 460 | 2.140 | 13958.9 |
| 1916 | 2026-02-04 00:44:15 | bows | 1 | 13983 | 31 | 0.283 | 49409.9 |
| 1915 | 2026-02-04 00:32:20 | bows | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1914 | 2026-02-02 16:28:00 | bows | 1 | 13983 | 31 | 0.563 | 24836.6 |
| 1913 | 2026-01-23 03:24:08 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1912 | 2026-01-18 02:36:15 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1911 | 2026-01-17 15:46:40 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1910 | 2026-01-13 23:01:25 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1909 | 2026-01-13 19:47:45 | bows | 1 | 13983 | 31 | 0.703 | 19890.5 |
| 1908 | 2026-01-09 17:43:35 | bows | 2 | 29872 | 460 | 0.860 | 34734.9 |
| 1907 | 2026-01-03 19:54:16 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1906 | 2026-01-01 21:52:32 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1905 | 2025-12-31 22:43:20 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1904 | 2025-12-30 12:37:11 | bows | 1 | 13983 | 31 | 0.516 | 27098.8 |
| 1903 | 2025-12-27 00:24:46 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1902 | 2025-12-25 14:04:59 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1901 | 2025-12-24 21:13:59 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1900 | 2025-12-24 18:35:05 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1899 | 2025-12-23 13:01:49 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1898 | 2025-12-21 04:08:38 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1897 | 2025-12-18 09:20:01 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1896 | 2025-12-15 16:06:21 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1895 | 2025-12-12 22:24:57 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1894 | 2025-12-12 22:23:46 | bows | 1 | 13983 | 31 | 0.283 | 49409.9 |
| 1893 | 2025-12-10 09:20:59 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1892 | 2025-12-08 23:00:02 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1891 | 2025-12-08 14:09:29 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1890 | 2025-12-02 05:01:38 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1889 | 2025-11-29 13:53:27 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1888 | 2025-11-24 06:32:15 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1887 | 2025-11-21 16:42:30 | bows | 2 | 29872 | 460 | 0.890 | 33564.0 |
| 1886 | 2025-11-18 04:56:57 | bows | 1 | 13983 | 31 | 0.450 | 31073.3 |
| 1885 | 2025-11-15 03:31:42 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1884 | 2025-11-14 13:25:42 | bows | 1 | 13983 | 31 | 0.296 | 47239.9 |
| 1883 | 2025-11-14 05:50:44 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1882 | 2025-11-13 19:10:58 | bows | 1 | 13983 | 31 | 0.296 | 47239.9 |
| 1881 | 2025-11-13 15:45:37 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1880 | 2025-11-10 22:33:09 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1879 | 2025-11-10 19:35:33 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1878 | 2025-11-08 01:46:13 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1877 | 2025-10-23 17:13:49 | bows | 1 | 13983 | 31 | 0.563 | 24836.6 |
| 1876 | 2025-10-23 10:55:23 | bows | 1 | 13983 | 31 | 0.686 | 20383.4 |
| 1875 | 2025-10-20 03:58:39 | bows | 1 | 13983 | 31 | 1.360 | 10281.6 |
| 1874 | 2025-10-02 20:08:33 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1873 | 2025-10-01 04:44:36 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1872 | 2025-09-25 17:35:27 | bows | 1 | 13983 | 31 | 0.736 | 18998.6 |
| 1871 | 2025-09-25 15:56:11 | bows | 2 | 29872 | 460 | 0.860 | 34734.9 |
| 1870 | 2025-09-25 00:17:03 | bows | 1 | 13983 | 31 | 2.186 | 6396.6 |
| 1869 | 2025-09-23 16:53:09 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |