History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"gauzy"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1308 | 2025-08-04 17:40:03 | gauzy | 1 | 28756 | 3 | 2.266 | 12690.2 |
1307 | 2025-08-04 01:28:58 | gauzy | 1 | 28756 | 3 | 2.220 | 12953.2 |
1306 | 2025-08-02 09:17:15 | gauzy | 1 | 28756 | 3 | 1.203 | 23903.6 |
1305 | 2025-08-02 02:00:28 | gauzy | 2 | 53800 | 44 | 3.843 | 13999.5 |
1304 | 2025-08-02 00:59:42 | gauzy | 2 | 53800 | 44 | 7.860 | 6844.8 |
1303 | 2025-08-02 00:45:50 | gauzy | 3 | 83667 | 737 | 26.500 | 3157.2 |
1302 | 2025-07-31 17:14:07 | gauzy | 1 | 28756 | 3 | 0.546 | 52666.7 |
1301 | 2025-07-31 03:41:14 | gauzy | 1 | 28756 | 3 | 0.453 | 63479.0 |
1300 | 2025-07-30 19:54:19 | gauzy | 1 | 28756 | 3 | 0.513 | 56054.6 |
1299 | 2025-07-24 11:30:47 | gauzy | 1 | 28756 | 3 | 1.110 | 25906.3 |
1298 | 2025-07-23 22:04:30 | gauzy | 1 | 28756 | 3 | 1.986 | 14479.4 |
1297 | 2025-07-23 04:35:19 | gauzy | 1 | 28756 | 3 | 1.203 | 23903.6 |
1296 | 2025-07-21 05:26:25 | gauzy | 1 | 28756 | 3 | 0.453 | 63479.0 |
1295 | 2025-07-21 00:01:56 | gauzy | 1 | 28756 | 3 | 0.500 | 57512.0 |
1294 | 2025-07-17 19:40:48 | gauzy | 2 | 53800 | 44 | 7.956 | 6762.2 |
1293 | 2025-07-16 05:05:57 | gauzy | 2 | 53800 | 44 | 6.156 | 8739.4 |
1292 | 2025-07-12 11:48:17 | gauzy | 1 | 28756 | 3 | 0.516 | 55728.7 |
1291 | 2025-07-10 05:55:17 | gauzy | 3 | 83667 | 737 | 27.816 | 3007.9 |
1290 | 2025-07-09 01:29:53 | gauzy | 1 | 28756 | 3 | 0.436 | 65954.1 |
1289 | 2025-07-08 10:08:49 | gauzy | 3 | 83667 | 737 | 21.440 | 3902.4 |
1288 | 2025-07-07 02:08:47 | gauzy | 3 | 83667 | 737 | 18.580 | 4503.1 |
1287 | 2025-07-05 01:00:50 | gauzy | 1 | 28756 | 3 | 2.813 | 10222.5 |
1286 | 2025-07-04 12:22:15 | gauzy | 3 | 83667 | 737 | 21.173 | 3951.6 |
1285 | 2025-07-02 04:27:19 | gauzy | 1 | 28756 | 3 | 2.580 | 11145.7 |
1284 | 2025-06-30 16:51:01 | gauzy | 1 | 28756 | 3 | 2.763 | 10407.5 |
1283 | 2025-06-29 20:28:32 | gauzy | 3 | 83667 | 737 | 12.626 | 6626.6 |
1282 | 2025-06-29 10:37:03 | gauzy | 3 | 83667 | 737 | 3.970 | 21074.8 |
1281 | 2025-06-26 17:01:56 | gauzy | 3 | 83667 | 737 | 13.280 | 6300.2 |
1280 | 2025-06-26 03:38:54 | gauzy | 1 | 28756 | 3 | 1.533 | 18758.0 |
1279 | 2025-06-25 02:30:53 | gauzy | 3 | 83667 | 737 | 16.296 | 5134.2 |
1278 | 2025-06-23 21:17:45 | gauzy | 1 | 28756 | 3 | 2.453 | 11722.8 |
1277 | 2025-06-21 10:41:36 | gauzy | 3 | 83667 | 737 | 20.190 | 4144.0 |
1276 | 2025-06-20 13:39:29 | gauzy | 1 | 28756 | 3 | 0.563 | 51076.4 |
1275 | 2025-06-20 04:12:54 | gauzy | 1 | 28756 | 3 | 2.656 | 10826.8 |
1274 | 2025-06-19 01:21:04 | gauzy | 3 | 83667 | 737 | 3.796 | 22040.8 |
1273 | 2025-06-18 23:46:22 | gauzy | 3 | 83667 | 737 | 10.246 | 8165.8 |
1272 | 2025-06-16 19:22:49 | gauzy | 3 | 83667 | 737 | 29.066 | 2878.5 |
1271 | 2025-06-05 01:12:52 | gauzy | 3 | 83667 | 737 | 16.406 | 5099.8 |
1270 | 2025-06-04 15:17:28 | gauzy | 1 | 28756 | 3 | 2.470 | 11642.1 |
1269 | 2025-06-03 09:47:58 | gauzy | 3 | 83667 | 737 | 18.893 | 4428.5 |
1268 | 2025-06-02 15:21:03 | gauzy | 1 | 28756 | 3 | 2.186 | 13154.6 |
1267 | 2025-06-02 12:28:14 | gauzy | 1 | 28756 | 3 | 0.983 | 29253.3 |
1266 | 2025-06-02 03:46:34 | gauzy | 1 | 28756 | 3 | 1.170 | 24577.8 |
1265 | 2025-06-01 21:14:13 | gauzy | 2 | 53800 | 44 | 4.186 | 12852.4 |
1264 | 2025-05-31 15:44:02 | gauzy | 2 | 53800 | 44 | 7.983 | 6739.3 |
1263 | 2025-05-30 21:11:31 | gauzy | 3 | 83667 | 737 | 11.656 | 7178.0 |
1262 | 2025-05-30 21:01:32 | gauzy | 3 | 83667 | 737 | 11.080 | 7551.2 |
1261 | 2025-05-27 17:19:38 | gauzy | 1 | 28756 | 3 | 0.500 | 57512.0 |
1260 | 2025-05-26 03:35:30 | gauzy | 3 | 83667 | 737 | 21.533 | 3885.5 |
1259 | 2025-05-24 12:53:07 | gauzy | 3 | 83667 | 737 | 12.250 | 6830.0 |
1258 | 2025-05-22 21:19:13 | gauzy | 3 | 83667 | 737 | 4.016 | 20833.4 |
1257 | 2025-05-17 01:04:24 | gauzy | 1 | 28756 | 3 | 1.403 | 20496.1 |
1256 | 2025-05-08 13:05:17 | gauzy | 1 | 28756 | 3 | 2.186 | 13154.6 |
1255 | 2025-05-07 21:00:43 | gauzy | 3 | 83667 | 737 | 20.016 | 4180.0 |
1254 | 2025-05-04 18:21:49 | gauzy | 1 | 28756 | 3 | 1.500 | 19170.7 |
1253 | 2025-05-02 15:02:48 | gauzy | 1 | 28756 | 3 | 2.800 | 10270.0 |
1252 | 2025-05-02 03:06:05 | gauzy | 1 | 28756 | 3 | 2.530 | 11366.0 |
1251 | 2025-05-02 00:05:47 | gauzy | 1 | 28756 | 3 | 2.296 | 12524.4 |
1250 | 2025-04-30 21:24:37 | gauzy | 3 | 83667 | 737 | 13.016 | 6428.0 |
1249 | 2025-04-30 16:11:52 | gauzy | 1 | 28756 | 3 | 2.343 | 12273.2 |
1248 | 2025-04-28 10:27:12 | gauzy | 3 | 83667 | 737 | 13.610 | 6147.5 |
1247 | 2025-04-26 11:14:02 | gauzy | 3 | 83667 | 737 | 19.500 | 4290.6 |
1246 | 2025-04-26 03:24:41 | gauzy | 3 | 83667 | 737 | 27.830 | 3006.4 |
1245 | 2025-04-26 03:24:23 | gauzy | 3 | 83667 | 737 | 12.673 | 6602.0 |
1244 | 2025-04-24 03:05:37 | gauzy | 3 | 83667 | 737 | 24.063 | 3477.0 |
1243 | 2025-04-20 08:40:52 | gauzy | 1 | 28756 | 3 | 2.483 | 11581.2 |
1242 | 2025-04-06 21:27:39 | gauzy | 1 | 28756 | 3 | 2.360 | 12184.7 |
1241 | 2025-04-05 01:21:53 | gauzy | 1 | 28756 | 3 | 0.500 | 57512.0 |
1240 | 2025-03-31 17:52:25 | gauzy | 1 | 28756 | 3 | 1.313 | 21901.0 |
1239 | 2025-03-31 03:54:08 | gauzy | 2 | 53800 | 44 | 12.096 | 4447.8 |
1238 | 2025-03-31 00:23:43 | gauzy | 1 | 28756 | 3 | 0.970 | 29645.4 |
1237 | 2025-03-29 18:49:06 | gauzy | 1 | 28756 | 3 | 2.373 | 12118.0 |
1236 | 2025-03-28 10:22:47 | gauzy | 3 | 83667 | 737 | 29.080 | 2877.1 |
1235 | 2025-03-28 03:43:59 | gauzy | 1 | 28756 | 3 | 0.453 | 63479.0 |
1234 | 2025-03-22 07:07:35 | gauzy | 3 | 83667 | 737 | 17.813 | 4697.0 |
1233 | 2025-03-21 17:05:55 | gauzy | 3 | 83667 | 737 | 20.033 | 4176.5 |
1232 | 2025-03-20 11:05:03 | gauzy | 1 | 28756 | 3 | 3.656 | 7865.4 |
1231 | 2025-03-05 05:09:30 | gauzy | 3 | 83667 | 737 | 31.130 | 2687.7 |
1230 | 2025-03-05 05:09:33 | gauzy | 2 | 53800 | 44 | 7.860 | 6844.8 |
1229 | 2025-03-03 21:39:09 | gauzy | 3 | 83667 | 737 | 9.640 | 8679.1 |
1228 | 2025-03-03 21:39:09 | gauzy | 2 | 53800 | 44 | 7.750 | 6941.9 |
1227 | 2025-03-02 18:36:17 | gauzy | 3 | 83667 | 737 | 19.236 | 4349.5 |
1226 | 2025-03-02 18:36:16 | gauzy | 2 | 53800 | 44 | 7.953 | 6764.7 |
1225 | 2025-02-28 00:03:51 | gauzy | 1 | 28756 | 3 | 0.530 | 54256.6 |
1224 | 2025-02-27 23:58:30 | gauzy | 1 | 28756 | 3 | 0.453 | 63479.0 |
1223 | 2025-02-27 15:09:27 | gauzy | 1 | 28756 | 3 | 1.703 | 16885.5 |
1222 | 2025-02-26 14:57:13 | gauzy | 3 | 83667 | 737 | 18.953 | 4414.4 |
1221 | 2025-02-26 08:42:46 | gauzy | 3 | 83667 | 737 | 20.563 | 4068.8 |
1220 | 2025-02-26 05:00:30 | gauzy | 1 | 28756 | 3 | 2.563 | 11219.7 |
1219 | 2025-02-25 12:19:50 | gauzy | 3 | 83667 | 737 | 12.313 | 6795.0 |
1218 | 2025-02-24 12:31:55 | gauzy | 1 | 28756 | 3 | 0.906 | 31739.5 |
1217 | 2025-02-09 07:45:29 | gauzy | 1 | 28756 | 3 | 2.080 | 13825.0 |
1216 | 2025-02-09 02:51:00 | gauzy | 1 | 28756 | 3 | 0.483 | 59536.2 |
1215 | 2025-01-28 18:20:23 | gauzy | 2 | 53800 | 44 | 7.966 | 6753.7 |
1214 | 2025-01-28 16:44:04 | gauzy | 1 | 28756 | 3 | 0.500 | 57512.0 |
1213 | 2025-01-28 15:20:35 | gauzy | 3 | 83667 | 737 | 22.220 | 3765.4 |
1212 | 2025-01-28 10:57:41 | gauzy | 3 | 83667 | 737 | 15.220 | 5497.2 |
1211 | 2025-01-28 10:57:39 | gauzy | 2 | 53800 | 44 | 10.050 | 5353.2 |
1210 | 2025-01-28 10:09:35 | gauzy | 1 | 28756 | 3 | 0.466 | 61708.2 |
1209 | 2025-01-27 14:07:20 | gauzy | 1 | 28756 | 3 | 2.016 | 14263.9 |