History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tenor"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1311 | 2025-10-23 17:26:52 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1310 | 2025-10-23 17:26:48 | tenor | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 1309 | 2025-10-23 05:34:54 | tenor | 1 | 28756 | 6 | 3.720 | 7730.1 |
| 1308 | 2025-10-23 05:34:39 | tenor | 1 | 28756 | 6 | 1.453 | 19790.8 |
| 1307 | 2025-10-21 02:24:51 | tenor | 1 | 28756 | 6 | 0.546 | 52666.7 |
| 1306 | 2025-10-20 04:22:19 | tenor | 1 | 28756 | 6 | 0.563 | 51076.4 |
| 1305 | 2025-10-14 02:04:16 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1304 | 2025-10-06 19:43:39 | tenor | 1 | 28756 | 6 | 1.063 | 27051.7 |
| 1303 | 2025-10-01 15:21:32 | tenor | 1 | 28756 | 6 | 0.513 | 56054.6 |
| 1302 | 2025-09-30 21:40:43 | tenor | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 1301 | 2025-09-30 03:58:38 | tenor | 1 | 28756 | 6 | 0.546 | 52666.7 |
| 1300 | 2025-09-28 13:41:15 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1299 | 2025-09-21 07:17:41 | tenor | 1 | 28756 | 6 | 0.533 | 53951.2 |
| 1298 | 2025-09-08 23:55:43 | tenor | 2 | 53800 | 78 | 1.640 | 32804.9 |
| 1297 | 2025-09-08 23:15:06 | tenor | 3 | 83667 | 1120 | 3.436 | 24350.1 |
| 1296 | 2025-09-08 23:14:36 | tenor | 2 | 53800 | 78 | 1.580 | 34050.6 |
| 1295 | 2025-09-08 07:53:00 | tenor | 3 | 83667 | 1120 | 3.580 | 23370.7 |
| 1294 | 2025-09-01 23:55:47 | tenor | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 1293 | 2025-09-01 19:11:18 | tenor | 1 | 28756 | 6 | 0.486 | 59168.7 |
| 1292 | 2025-08-28 02:01:42 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1291 | 2025-08-28 01:12:19 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1290 | 2025-08-27 14:25:22 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1289 | 2025-08-27 13:58:32 | tenor | 1 | 28756 | 6 | 0.513 | 56054.6 |
| 1288 | 2025-08-27 13:19:47 | tenor | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1287 | 2025-08-27 13:10:06 | tenor | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1286 | 2025-08-18 08:59:05 | tenor | 1 | 28756 | 6 | 0.436 | 65954.1 |
| 1285 | 2025-08-04 16:32:06 | tenor | 1 | 28756 | 6 | 2.060 | 13959.2 |
| 1284 | 2025-08-02 05:38:52 | tenor | 2 | 53800 | 78 | 5.216 | 10314.4 |
| 1283 | 2025-08-01 22:06:15 | tenor | 1 | 28756 | 6 | 1.140 | 25224.6 |
| 1282 | 2025-07-31 19:29:55 | tenor | 3 | 83667 | 1120 | 28.226 | 2964.2 |
| 1281 | 2025-07-31 18:22:36 | tenor | 2 | 53800 | 78 | 8.080 | 6658.4 |
| 1280 | 2025-07-31 13:28:32 | tenor | 3 | 83667 | 1120 | 19.720 | 4242.7 |
| 1279 | 2025-07-31 12:37:16 | tenor | 1 | 28756 | 6 | 1.183 | 24307.7 |
| 1278 | 2025-07-31 02:11:05 | tenor | 2 | 53800 | 78 | 11.453 | 4697.5 |
| 1277 | 2025-07-31 01:47:18 | tenor | 3 | 83667 | 1120 | 3.376 | 24782.9 |
| 1276 | 2025-07-31 01:09:53 | tenor | 3 | 83667 | 1120 | 9.280 | 9015.8 |
| 1275 | 2025-07-30 22:51:19 | tenor | 3 | 83667 | 1120 | 12.800 | 6536.5 |
| 1274 | 2025-07-30 14:23:51 | tenor | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 1273 | 2025-07-30 02:15:06 | tenor | 3 | 83667 | 1120 | 8.673 | 9646.8 |
| 1272 | 2025-07-29 08:29:52 | tenor | 3 | 83667 | 1120 | 15.876 | 5270.0 |
| 1271 | 2025-07-29 07:30:21 | tenor | 2 | 53800 | 78 | 4.220 | 12748.8 |
| 1270 | 2025-07-26 22:48:37 | tenor | 1 | 28756 | 6 | 1.016 | 28303.1 |
| 1269 | 2025-07-24 23:39:59 | tenor | 1 | 28756 | 6 | 0.736 | 39070.7 |
| 1268 | 2025-07-24 08:47:29 | tenor | 1 | 28756 | 6 | 1.110 | 25906.3 |
| 1267 | 2025-07-23 12:22:11 | tenor | 1 | 28756 | 6 | 1.360 | 21144.1 |
| 1266 | 2025-07-23 09:28:42 | tenor | 1 | 28756 | 6 | 2.076 | 13851.6 |
| 1265 | 2025-07-19 14:06:41 | tenor | 1 | 28756 | 6 | 0.530 | 54256.6 |
| 1264 | 2025-07-16 20:31:00 | tenor | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1263 | 2025-07-05 06:10:36 | tenor | 1 | 28756 | 6 | 2.173 | 13233.3 |
| 1262 | 2025-07-04 16:07:52 | tenor | 1 | 28756 | 6 | 1.466 | 19615.3 |
| 1261 | 2025-07-02 04:13:41 | tenor | 1 | 28756 | 6 | 5.046 | 5698.8 |
| 1260 | 2025-06-24 15:18:35 | tenor | 1 | 28756 | 6 | 1.156 | 24875.4 |
| 1259 | 2025-06-23 11:15:33 | tenor | 2 | 53800 | 78 | 1.670 | 32215.6 |
| 1258 | 2025-06-22 04:55:40 | tenor | 1 | 28756 | 6 | 1.343 | 21411.8 |
| 1257 | 2025-06-22 01:55:24 | tenor | 2 | 53800 | 78 | 4.356 | 12350.8 |
| 1256 | 2025-06-20 19:31:14 | tenor | 2 | 53800 | 78 | 8.000 | 6725.0 |
| 1255 | 2025-06-19 16:07:46 | tenor | 3 | 83667 | 1120 | 4.830 | 17322.4 |
| 1254 | 2025-06-19 14:26:49 | tenor | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1253 | 2025-06-19 05:22:52 | tenor | 3 | 83667 | 1120 | 17.533 | 4772.0 |
| 1252 | 2025-06-18 10:14:08 | tenor | 3 | 83667 | 1120 | 26.983 | 3100.7 |
| 1251 | 2025-06-18 08:32:42 | tenor | 3 | 83667 | 1120 | 27.440 | 3049.1 |
| 1250 | 2025-06-17 22:45:15 | tenor | 3 | 83667 | 1120 | 20.073 | 4168.1 |
| 1249 | 2025-06-17 05:00:31 | tenor | 3 | 83667 | 1120 | 4.216 | 19845.1 |
| 1248 | 2025-06-15 20:42:15 | tenor | 1 | 28756 | 6 | 1.343 | 21411.8 |
| 1247 | 2025-06-14 19:17:06 | tenor | 1 | 28756 | 6 | 2.390 | 12031.8 |
| 1246 | 2025-05-31 00:20:14 | tenor | 3 | 83667 | 1120 | 10.893 | 7680.8 |
| 1245 | 2025-05-28 03:16:41 | tenor | 1 | 28756 | 6 | 1.013 | 28387.0 |
| 1244 | 2025-05-25 12:41:11 | tenor | 3 | 83667 | 1120 | 3.923 | 21327.3 |
| 1243 | 2025-05-24 15:58:34 | tenor | 3 | 83667 | 1120 | 14.956 | 5594.2 |
| 1242 | 2025-05-23 16:19:05 | tenor | 1 | 28756 | 6 | 3.046 | 9440.6 |
| 1241 | 2025-05-22 05:39:59 | tenor | 1 | 28756 | 6 | 2.560 | 11232.8 |
| 1240 | 2025-05-20 18:11:15 | tenor | 1 | 28756 | 6 | 2.110 | 13628.4 |
| 1239 | 2025-05-17 19:14:10 | tenor | 3 | 83667 | 1120 | 3.893 | 21491.7 |
| 1238 | 2025-05-16 17:16:00 | tenor | 3 | 83667 | 1120 | 18.736 | 4465.6 |
| 1237 | 2025-05-16 07:06:58 | tenor | 2 | 53800 | 78 | 7.656 | 7027.2 |
| 1236 | 2025-05-15 00:17:03 | tenor | 3 | 83667 | 1120 | 3.860 | 21675.4 |
| 1235 | 2025-05-14 20:47:46 | tenor | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1234 | 2025-05-13 15:20:53 | tenor | 1 | 28756 | 6 | 1.966 | 14626.7 |
| 1233 | 2025-05-13 06:42:07 | tenor | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1232 | 2025-05-09 02:44:57 | tenor | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 1231 | 2025-05-06 16:20:59 | tenor | 3 | 83667 | 1120 | 19.156 | 4367.7 |
| 1230 | 2025-05-06 11:27:53 | tenor | 3 | 83667 | 1120 | 29.516 | 2834.6 |
| 1229 | 2025-05-05 22:32:08 | tenor | 3 | 83667 | 1120 | 19.390 | 4315.0 |
| 1228 | 2025-05-04 08:47:31 | tenor | 3 | 83667 | 1120 | 13.156 | 6359.6 |
| 1227 | 2025-05-04 07:31:23 | tenor | 3 | 83667 | 1120 | 20.733 | 4035.5 |
| 1226 | 2025-05-02 15:36:51 | tenor | 1 | 28756 | 6 | 1.000 | 28756.0 |
| 1225 | 2025-04-22 20:15:51 | tenor | 1 | 28756 | 6 | 2.390 | 12031.8 |
| 1224 | 2025-04-20 14:54:12 | tenor | 1 | 28756 | 6 | 2.826 | 10175.5 |
| 1223 | 2025-04-20 04:55:02 | tenor | 1 | 28756 | 6 | 2.283 | 12595.7 |
| 1222 | 2025-04-16 21:11:43 | tenor | 1 | 28756 | 6 | 0.483 | 59536.2 |
| 1221 | 2025-04-13 20:45:42 | tenor | 1 | 28756 | 6 | 1.970 | 14597.0 |
| 1220 | 2025-04-11 13:18:42 | tenor | 1 | 28756 | 6 | 2.563 | 11219.7 |
| 1219 | 2025-04-02 20:37:59 | tenor | 2 | 53800 | 78 | 8.296 | 6485.1 |
| 1218 | 2025-04-02 00:04:45 | tenor | 3 | 83667 | 1120 | 10.296 | 8126.2 |
| 1217 | 2025-03-31 23:29:56 | tenor | 3 | 83667 | 1120 | 12.453 | 6718.6 |
| 1216 | 2025-03-31 05:58:16 | tenor | 2 | 53800 | 78 | 12.076 | 4455.1 |
| 1215 | 2025-03-30 16:56:09 | tenor | 2 | 53800 | 78 | 2.483 | 21667.3 |
| 1214 | 2025-03-30 12:59:22 | tenor | 3 | 83667 | 1120 | 4.030 | 20761.0 |
| 1213 | 2025-03-29 01:48:19 | tenor | 2 | 53800 | 78 | 7.470 | 7202.1 |
| 1212 | 2025-03-28 11:31:57 | tenor | 3 | 83667 | 1120 | 15.893 | 5264.4 |