History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"paris"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1307 | 2024-05-04 06:22:56 | paris | 1 | 28756 | 19 | 0.563 | 51076.4 |
1306 | 2024-05-04 02:51:11 | paris | 1 | 28756 | 19 | 0.580 | 49579.3 |
1305 | 2024-05-04 02:47:40 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
1304 | 2024-04-27 08:41:07 | paris | 1 | 28756 | 19 | 0.530 | 54256.6 |
1303 | 2024-04-25 03:05:38 | paris | 1 | 28756 | 19 | 1.406 | 20452.3 |
1302 | 2024-04-03 03:27:42 | paris | 1 | 28756 | 19 | 1.203 | 23903.6 |
1301 | 2024-03-31 03:07:44 | paris | 1 | 28756 | 19 | 1.796 | 16011.1 |
1300 | 2024-03-27 01:31:54 | paris | 1 | 28756 | 19 | 0.450 | 63902.2 |
1299 | 2024-03-15 04:09:46 | paris | 1 | 28756 | 19 | 1.716 | 16757.6 |
1298 | 2024-03-07 13:56:13 | paris | 1 | 28756 | 19 | 0.560 | 51350.0 |
1297 | 2024-03-03 23:39:45 | paris | 2 | 53800 | 367 | 5.686 | 9461.8 |
1296 | 2024-03-03 22:09:46 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
1295 | 2024-03-01 10:41:42 | paris | 1 | 28756 | 19 | 0.860 | 33437.2 |
1294 | 2024-02-25 17:31:33 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
1293 | 2024-01-26 01:25:03 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
1292 | 2024-01-25 22:30:01 | paris | 1 | 28756 | 19 | 1.063 | 27051.7 |
1291 | 2024-01-24 14:39:45 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1290 | 2024-01-05 11:17:51 | paris | 1 | 28756 | 19 | 0.466 | 61708.2 |
1289 | 2024-01-01 20:59:40 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1288 | 2023-12-29 04:30:54 | paris | 2 | 53800 | 367 | 1.593 | 33772.8 |
1287 | 2023-12-23 06:47:39 | paris | 2 | 53800 | 367 | 1.563 | 34421.0 |
1286 | 2023-12-22 08:27:49 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1285 | 2023-11-29 13:12:59 | paris | 1 | 28756 | 19 | 0.450 | 63902.2 |
1284 | 2023-11-22 10:37:16 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1283 | 2023-11-12 15:44:31 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
1282 | 2023-11-12 02:26:43 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1281 | 2023-11-04 22:07:08 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1280 | 2023-11-01 10:46:52 | paris | 2 | 53800 | 367 | 1.843 | 29191.5 |
1279 | 2023-10-27 09:44:48 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
1278 | 2023-10-26 06:28:07 | paris | 2 | 53800 | 367 | 1.546 | 34799.5 |
1277 | 2023-10-23 00:10:45 | paris | 2 | 53800 | 367 | 1.843 | 29191.5 |
1276 | 2023-10-20 21:14:38 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
1275 | 2023-10-17 01:23:42 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
1274 | 2023-10-17 01:05:55 | paris | 2 | 53800 | 367 | 1.406 | 38264.6 |
1273 | 2023-10-13 03:47:03 | paris | 1 | 28756 | 19 | 0.436 | 65954.1 |
1272 | 2023-10-12 06:43:33 | paris | 2 | 53800 | 367 | 1.716 | 31352.0 |
1271 | 2023-10-04 10:32:41 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1270 | 2023-10-04 10:21:51 | paris | 2 | 53800 | 367 | 1.486 | 36204.6 |
1269 | 2023-10-01 23:04:09 | paris | 2 | 53800 | 367 | 1.546 | 34799.5 |
1268 | 2023-10-01 14:22:12 | paris | 2 | 53800 | 367 | 1.643 | 32745.0 |
1267 | 2023-09-29 07:20:34 | paris | 2 | 53800 | 367 | 1.436 | 37465.2 |
1266 | 2023-09-24 01:42:17 | paris | 1 | 28756 | 19 | 0.533 | 53951.2 |
1265 | 2023-09-22 19:50:05 | paris | 1 | 28756 | 19 | 0.483 | 59536.2 |
1264 | 2023-09-21 23:08:12 | paris | 1 | 28756 | 19 | 0.440 | 65354.5 |
1263 | 2023-09-16 14:57:58 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1262 | 2023-09-09 05:25:52 | paris | 1 | 28756 | 19 | 0.486 | 59168.7 |
1261 | 2023-09-03 10:30:01 | paris | 2 | 53800 | 367 | 1.403 | 38346.4 |
1260 | 2023-08-07 23:54:21 | paris | 2 | 53800 | 367 | 1.453 | 37026.8 |
1259 | 2023-07-14 07:01:48 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1258 | 2023-07-09 00:52:32 | paris | 2 | 53800 | 367 | 3.156 | 17046.9 |
1257 | 2023-06-23 05:57:39 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
1256 | 2023-06-18 02:33:55 | paris | 1 | 28756 | 19 | 0.450 | 63902.2 |
1255 | 2023-06-09 07:21:57 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
1254 | 2023-06-06 01:13:27 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1253 | 2023-06-02 03:50:36 | paris | 2 | 53800 | 367 | 1.470 | 36598.6 |
1252 | 2023-05-17 07:03:51 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1251 | 2023-04-03 21:32:55 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1250 | 2023-03-29 22:46:35 | paris | 2 | 53800 | 367 | 1.406 | 38264.6 |
1249 | 2023-03-03 14:11:31 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1248 | 2023-02-07 05:58:42 | paris | 1 | 28756 | 19 | 0.436 | 65954.1 |
1247 | 2023-01-17 18:51:25 | paris | 1 | 28756 | 19 | 0.450 | 63902.2 |
1246 | 2023-01-08 00:38:04 | paris | 2 | 53800 | 367 | 1.406 | 38264.6 |
1245 | 2022-12-26 19:26:44 | paris | 2 | 53800 | 367 | 1.390 | 38705.0 |
1244 | 2022-12-21 19:23:52 | paris | 1 | 28756 | 19 | 0.440 | 65354.5 |
1243 | 2022-11-25 09:20:05 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
1242 | 2022-11-23 19:27:25 | paris | 2 | 53800 | 367 | 1.423 | 37807.4 |
1241 | 2022-11-21 09:36:57 | paris | 2 | 53800 | 367 | 1.546 | 34799.5 |
1240 | 2022-11-16 13:35:37 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
1239 | 2022-11-15 11:52:43 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
1238 | 2022-11-09 02:23:11 | paris | 1 | 28756 | 19 | 0.436 | 65954.1 |
1237 | 2022-10-29 02:05:57 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1236 | 2022-10-23 19:44:37 | paris | 2 | 53800 | 367 | 1.406 | 38264.6 |
1235 | 2022-08-27 09:42:05 | paris | 2 | 53800 | 367 | 1.486 | 36204.6 |
1234 | 2022-08-26 09:51:34 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1233 | 2022-08-25 00:49:11 | paris | 2 | 53800 | 367 | 1.423 | 37807.4 |
1232 | 2022-08-23 13:46:24 | paris | 1 | 28756 | 19 | 0.436 | 65954.1 |
1231 | 2022-08-18 00:29:16 | paris | 1 | 28756 | 19 | 0.436 | 65954.1 |
1230 | 2022-08-05 04:41:00 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
1229 | 2022-08-01 03:26:19 | paris | 1 | 28756 | 19 | 0.436 | 65954.1 |
1228 | 2022-07-29 10:48:06 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
1227 | 2022-07-06 18:32:52 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
1226 | 2022-07-05 10:15:42 | paris | 2 | 53800 | 367 | 1.593 | 33772.8 |
1225 | 2022-06-11 10:27:27 | paris | 2 | 53800 | 367 | 1.410 | 38156.0 |
1224 | 2022-06-07 20:01:29 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1223 | 2022-05-19 11:27:30 | paris | 2 | 53800 | 367 | 1.766 | 30464.3 |
1222 | 2022-05-18 19:14:56 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1221 | 2022-05-17 19:58:26 | paris | 2 | 53800 | 367 | 1.453 | 37026.8 |
1220 | 2022-05-17 16:03:06 | paris | 2 | 53800 | 367 | 1.626 | 33087.3 |
1219 | 2022-05-16 17:54:09 | paris | 2 | 53800 | 367 | 1.876 | 28678.0 |
1218 | 2022-05-15 18:44:02 | paris | 2 | 53800 | 367 | 1.450 | 37103.4 |
1217 | 2022-05-14 16:13:10 | paris | 2 | 53800 | 367 | 1.466 | 36698.5 |
1216 | 2022-05-13 19:30:53 | paris | 2 | 53800 | 367 | 2.186 | 24611.2 |
1215 | 2022-05-13 04:32:38 | paris | 2 | 53800 | 367 | 1.486 | 36204.6 |
1214 | 2022-05-11 19:11:12 | paris | 2 | 53800 | 367 | 1.420 | 37887.3 |
1213 | 2022-05-11 03:20:42 | paris | 2 | 53800 | 367 | 1.640 | 32804.9 |
1212 | 2022-05-10 10:37:50 | paris | 2 | 53800 | 367 | 1.783 | 30173.9 |
1211 | 2022-05-09 13:13:39 | paris | 2 | 53800 | 367 | 2.220 | 24234.2 |
1210 | 2022-05-09 10:02:56 | paris | 2 | 53800 | 367 | 1.810 | 29723.8 |
1209 | 2022-05-09 04:57:54 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
1208 | 2022-05-08 06:13:20 | paris | 2 | 53800 | 367 | 1.593 | 33772.8 |