History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trainbearer"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1313 | 2025-09-10 14:13:56 | trainbearer | 1 | 49908 | 2 | 0.763 | 65410.2 |
1312 | 2025-07-24 15:50:43 | trainbearer | 1 | 49908 | 2 | 1.953 | 25554.5 |
1311 | 2025-07-24 01:48:32 | trainbearer | 1 | 49908 | 2 | 2.360 | 21147.5 |
1310 | 2025-07-17 16:49:59 | trainbearer | 1 | 49908 | 2 | 2.283 | 21860.7 |
1309 | 2025-07-13 01:26:16 | trainbearer | 1 | 49908 | 2 | 0.876 | 56972.6 |
1308 | 2025-06-19 03:55:45 | trainbearer | 1 | 49908 | 2 | 0.826 | 60421.3 |
1307 | 2025-05-31 14:51:20 | trainbearer | 1 | 49908 | 2 | 3.250 | 15356.3 |
1306 | 2025-05-29 02:21:36 | trainbearer | 1 | 49908 | 2 | 2.920 | 17091.8 |
1305 | 2025-05-20 13:19:21 | trainbearer | 4 | 148819 | 30 | 43.203 | 3444.6 |
1304 | 2025-05-18 16:22:40 | trainbearer | 4 | 148819 | 30 | 53.080 | 2803.7 |
1303 | 2025-05-16 03:16:37 | trainbearer | 4 | 148819 | 30 | 72.800 | 2044.2 |
1302 | 2025-05-16 01:48:48 | trainbearer | 4 | 148819 | 30 | 39.180 | 3798.3 |
1301 | 2025-05-12 11:14:29 | trainbearer | 1 | 49908 | 2 | 3.970 | 12571.3 |
1300 | 2025-04-09 02:27:42 | trainbearer | 1 | 49908 | 2 | 5.983 | 8341.6 |
1299 | 2025-04-08 02:32:05 | trainbearer | 4 | 148819 | 30 | 49.050 | 3034.0 |
1298 | 2025-03-21 17:36:04 | trainbearer | 2 | 86808 | 2 | 17.486 | 4964.4 |
1297 | 2025-03-21 15:01:28 | trainbearer | 3 | 121633 | 6 | 26.363 | 4613.8 |
1296 | 2025-03-21 06:38:17 | trainbearer | 4 | 148819 | 30 | 75.206 | 1978.8 |
1295 | 2025-03-20 21:52:01 | trainbearer | 4 | 148819 | 30 | 45.300 | 3285.2 |
1294 | 2025-03-20 18:59:34 | trainbearer | 1 | 49908 | 2 | 3.406 | 14653.0 |
1293 | 2025-03-20 02:24:58 | trainbearer | 1 | 49908 | 2 | 2.093 | 23845.2 |
1292 | 2025-03-19 09:08:51 | trainbearer | 3 | 121633 | 6 | 6.420 | 18946.0 |
1291 | 2025-03-18 04:29:58 | trainbearer | 4 | 148819 | 30 | 50.236 | 2962.4 |
1290 | 2025-03-18 04:29:52 | trainbearer | 4 | 148819 | 30 | 56.333 | 2641.8 |
1289 | 2025-03-18 04:29:50 | trainbearer | 2 | 86808 | 2 | 12.020 | 7222.0 |
1288 | 2025-03-18 04:27:13 | trainbearer | 1 | 49908 | 2 | 3.890 | 12829.8 |
1287 | 2025-03-04 11:47:10 | trainbearer | 1 | 49908 | 2 | 3.703 | 13477.7 |
1286 | 2025-03-01 18:29:38 | trainbearer | 4 | 148819 | 30 | 55.346 | 2688.9 |
1285 | 2025-03-01 18:29:35 | trainbearer | 2 | 86808 | 2 | 15.923 | 5451.7 |
1284 | 2025-03-01 18:25:26 | trainbearer | 1 | 49908 | 2 | 4.190 | 11911.2 |
1283 | 2025-02-28 15:22:49 | trainbearer | 3 | 121633 | 6 | 21.483 | 5661.8 |
1282 | 2025-02-17 22:51:28 | trainbearer | 4 | 148819 | 30 | 50.300 | 2958.6 |
1281 | 2025-02-17 22:51:18 | trainbearer | 4 | 148819 | 30 | 44.236 | 3364.2 |
1280 | 2025-02-17 22:51:17 | trainbearer | 3 | 121633 | 6 | 30.970 | 3927.4 |
1279 | 2025-02-17 22:51:16 | trainbearer | 2 | 86808 | 2 | 11.953 | 7262.4 |
1278 | 2025-02-17 22:49:40 | trainbearer | 1 | 49908 | 2 | 1.873 | 26646.0 |
1277 | 2025-02-16 17:02:44 | trainbearer | 3 | 121633 | 6 | 24.783 | 4907.9 |
1276 | 2025-02-16 13:07:17 | trainbearer | 4 | 148819 | 30 | 53.176 | 2798.6 |
1275 | 2025-02-16 13:07:24 | trainbearer | 3 | 121633 | 6 | 29.253 | 4158.0 |
1274 | 2025-02-16 13:07:23 | trainbearer | 2 | 86808 | 2 | 18.343 | 4732.5 |
1273 | 2025-02-16 13:06:29 | trainbearer | 1 | 49908 | 2 | 4.330 | 11526.1 |
1272 | 2025-02-14 05:18:27 | trainbearer | 3 | 121633 | 6 | 16.580 | 7336.1 |
1271 | 2025-02-13 03:27:30 | trainbearer | 2 | 86808 | 2 | 11.220 | 7736.9 |
1270 | 2025-02-13 03:21:33 | trainbearer | 1 | 49908 | 2 | 1.940 | 25725.8 |
1269 | 2025-02-11 17:55:47 | trainbearer | 4 | 148819 | 30 | 58.143 | 2559.5 |
1268 | 2025-02-11 17:55:45 | trainbearer | 4 | 148819 | 30 | 35.813 | 4155.4 |
1267 | 2025-01-29 20:20:13 | trainbearer | 1 | 49908 | 2 | 4.186 | 11922.6 |
1266 | 2025-01-29 03:24:11 | trainbearer | 4 | 148819 | 30 | 34.220 | 4348.9 |
1265 | 2025-01-16 10:05:35 | trainbearer | 4 | 148819 | 30 | 58.673 | 2536.4 |
1264 | 2025-01-14 13:08:09 | trainbearer | 3 | 121633 | 6 | 26.783 | 4541.4 |
1263 | 2025-01-13 07:40:11 | trainbearer | 4 | 148819 | 30 | 45.986 | 3236.2 |
1262 | 2025-01-13 07:40:09 | trainbearer | 3 | 121633 | 6 | 24.563 | 4951.9 |
1261 | 2025-01-12 20:41:18 | trainbearer | 2 | 86808 | 2 | 18.186 | 4773.3 |
1260 | 2025-01-12 20:39:51 | trainbearer | 1 | 49908 | 2 | 3.923 | 12721.9 |
1259 | 2025-01-12 20:21:47 | trainbearer | 4 | 148819 | 30 | 41.690 | 3569.7 |
1258 | 2025-01-12 10:45:22 | trainbearer | 4 | 148819 | 30 | 61.550 | 2417.9 |
1257 | 2025-01-12 00:33:01 | trainbearer | 1 | 49908 | 2 | 3.720 | 13416.1 |
1256 | 2025-01-07 02:20:45 | trainbearer | 4 | 148819 | 30 | 50.236 | 2962.4 |
1255 | 2025-01-04 07:18:13 | trainbearer | 5 | 164607 | 206 | 50.080 | 3286.9 |
1254 | 2025-01-03 05:41:45 | trainbearer | 5 | 164607 | 206 | 65.716 | 2504.8 |
1253 | 2025-01-02 09:12:01 | trainbearer | 1 | 49908 | 2 | 3.953 | 12625.3 |
1252 | 2025-01-02 06:28:47 | trainbearer | 5 | 164607 | 206 | 59.226 | 2779.3 |
1251 | 2025-01-01 06:14:19 | trainbearer | 5 | 164607 | 206 | 85.023 | 1936.0 |
1250 | 2024-12-31 06:59:32 | trainbearer | 5 | 164607 | 206 | 90.756 | 1813.7 |
1249 | 2024-12-30 15:43:39 | trainbearer | 5 | 164607 | 206 | 97.190 | 1693.7 |
1248 | 2024-12-30 05:19:18 | trainbearer | 5 | 164607 | 206 | 69.206 | 2378.5 |
1247 | 2024-12-30 02:02:57 | trainbearer | 5 | 164607 | 206 | 86.096 | 1911.9 |
1246 | 2024-12-29 16:59:50 | trainbearer | 5 | 164607 | 206 | 48.643 | 3384.0 |
1245 | 2024-12-29 02:04:27 | trainbearer | 5 | 164607 | 206 | 45.843 | 3590.7 |
1244 | 2024-12-28 09:31:13 | trainbearer | 5 | 164607 | 206 | 56.283 | 2924.6 |
1243 | 2024-12-27 21:24:29 | trainbearer | 5 | 164607 | 206 | 64.283 | 2560.7 |
1242 | 2024-12-27 09:32:03 | trainbearer | 5 | 164607 | 206 | 15.393 | 10693.6 |
1241 | 2024-12-26 20:59:20 | trainbearer | 5 | 164607 | 206 | 69.923 | 2354.1 |
1240 | 2024-12-26 09:35:11 | trainbearer | 5 | 164607 | 206 | 73.880 | 2228.0 |
1239 | 2024-12-25 20:33:14 | trainbearer | 5 | 164607 | 206 | 48.140 | 3419.3 |
1238 | 2024-12-25 17:15:00 | trainbearer | 5 | 164607 | 206 | 85.270 | 1930.4 |
1237 | 2024-12-25 10:32:48 | trainbearer | 5 | 164607 | 206 | 82.833 | 1987.2 |
1236 | 2024-12-25 09:31:03 | trainbearer | 5 | 164607 | 206 | 53.346 | 3085.6 |
1235 | 2024-12-24 17:18:18 | trainbearer | 5 | 164607 | 206 | 63.066 | 2610.1 |
1234 | 2024-12-24 10:26:13 | trainbearer | 5 | 164607 | 206 | 80.170 | 2053.2 |
1233 | 2024-12-24 09:32:47 | trainbearer | 5 | 164607 | 206 | 50.546 | 3256.6 |
1232 | 2024-12-23 17:08:56 | trainbearer | 5 | 164607 | 206 | 77.440 | 2125.6 |
1231 | 2024-12-23 10:36:02 | trainbearer | 5 | 164607 | 206 | 81.520 | 2019.2 |
1230 | 2024-12-23 09:26:45 | trainbearer | 5 | 164607 | 206 | 74.570 | 2207.4 |
1229 | 2024-12-22 10:22:58 | trainbearer | 5 | 164607 | 206 | 72.376 | 2274.3 |
1228 | 2024-12-22 09:22:11 | trainbearer | 5 | 164607 | 206 | 47.143 | 3491.7 |
1227 | 2024-12-21 10:34:38 | trainbearer | 5 | 164607 | 206 | 68.516 | 2402.5 |
1226 | 2024-12-21 09:17:56 | trainbearer | 5 | 164607 | 206 | 70.363 | 2339.4 |
1225 | 2024-12-20 20:57:15 | trainbearer | 3 | 121633 | 6 | 27.456 | 4430.1 |
1224 | 2024-12-20 17:28:45 | trainbearer | 3 | 121633 | 6 | 23.000 | 5288.4 |
1223 | 2024-12-20 17:28:47 | trainbearer | 2 | 86808 | 2 | 6.393 | 13578.6 |
1222 | 2024-12-20 17:28:25 | trainbearer | 1 | 49908 | 2 | 5.360 | 9311.2 |
1221 | 2024-12-20 17:16:24 | trainbearer | 5 | 164607 | 206 | 49.436 | 3329.7 |
1220 | 2024-12-20 10:34:32 | trainbearer | 5 | 164607 | 206 | 45.046 | 3654.2 |
1219 | 2024-12-20 09:18:16 | trainbearer | 5 | 164607 | 206 | 87.256 | 1886.5 |
1218 | 2024-12-20 03:34:23 | trainbearer | 5 | 164607 | 206 | 52.673 | 3125.1 |
1217 | 2024-12-19 09:19:21 | trainbearer | 5 | 164607 | 206 | 77.286 | 2129.8 |
1216 | 2024-12-19 03:30:47 | trainbearer | 5 | 164607 | 206 | 76.583 | 2149.4 |
1215 | 2024-12-18 09:14:28 | trainbearer | 5 | 164607 | 206 | 61.503 | 2676.4 |
1214 | 2024-12-18 03:33:30 | trainbearer | 5 | 164607 | 206 | 80.003 | 2057.5 |