History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "tonneau"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 393 | 2025-10-25 06:20:07 | tonneau | 1 | 69583 | 3 | 1.360 | 51164.0 | 
		| 392 | 2025-09-07 21:58:48 | tonneau | 1 | 69583 | 3 | 1.170 | 59472.6 | 
		| 391 | 2025-08-19 04:19:45 | tonneau | 2 | 107671 | 8 | 10.563 | 10193.2 | 
		| 390 | 2025-08-18 09:45:09 | tonneau | 1 | 69583 | 3 | 1.060 | 65644.3 | 
		| 389 | 2025-08-15 14:47:21 | tonneau | 1 | 69583 | 3 | 3.283 | 21194.9 | 
		| 388 | 2025-08-05 00:37:59 | tonneau | 1 | 69583 | 3 | 3.060 | 22739.5 | 
		| 387 | 2025-08-01 17:13:12 | tonneau | 3 | 134027 | 94 | 21.170 | 6331.0 | 
		| 386 | 2025-08-01 04:11:09 | tonneau | 1 | 69583 | 3 | 6.123 | 11364.2 | 
		| 385 | 2025-08-01 01:26:19 | tonneau | 2 | 107671 | 8 | 7.923 | 13589.7 | 
		| 384 | 2025-07-31 06:08:36 | tonneau | 1 | 69583 | 3 | 2.203 | 31585.6 | 
		| 383 | 2025-07-25 05:10:59 | tonneau | 1 | 69583 | 3 | 3.873 | 17966.2 | 
		| 382 | 2025-07-24 23:54:03 | tonneau | 1 | 69583 | 3 | 5.656 | 12302.5 | 
		| 381 | 2025-07-22 18:49:51 | tonneau | 1 | 69583 | 3 | 8.610 | 8081.6 | 
		| 380 | 2025-07-02 16:31:54 | tonneau | 3 | 134027 | 94 | 49.236 | 2722.1 | 
		| 379 | 2025-06-30 10:25:37 | tonneau | 1 | 69583 | 3 | 5.873 | 11847.9 | 
		| 378 | 2025-06-30 04:27:15 | tonneau | 3 | 134027 | 94 | 28.503 | 4702.2 | 
		| 377 | 2025-06-30 00:33:59 | tonneau | 2 | 107671 | 8 | 13.533 | 7956.2 | 
		| 376 | 2025-06-29 03:47:04 | tonneau | 1 | 69583 | 3 | 1.203 | 57841.2 | 
		| 375 | 2025-06-21 21:05:19 | tonneau | 1 | 69583 | 3 | 3.343 | 20814.5 | 
		| 374 | 2025-06-18 09:11:58 | tonneau | 1 | 69583 | 3 | 7.530 | 9240.8 | 
		| 373 | 2025-06-14 01:25:37 | tonneau | 2 | 107671 | 8 | 16.610 | 6482.3 | 
		| 372 | 2025-06-06 06:20:38 | tonneau | 1 | 69583 | 3 | 5.890 | 11813.8 | 
		| 371 | 2025-05-26 10:05:22 | tonneau | 1 | 69583 | 3 | 4.173 | 16674.6 | 
		| 370 | 2025-05-21 21:34:10 | tonneau | 1 | 69583 | 3 | 2.906 | 23944.6 | 
		| 369 | 2025-05-17 23:11:47 | tonneau | 1 | 69583 | 3 | 5.826 | 11943.5 | 
		| 368 | 2025-05-13 22:02:08 | tonneau | 3 | 134027 | 94 | 30.143 | 4446.4 | 
		| 367 | 2025-05-13 00:37:51 | tonneau | 3 | 134027 | 94 | 7.623 | 17581.9 | 
		| 366 | 2025-05-08 18:47:35 | tonneau | 1 | 69583 | 3 | 3.000 | 23194.3 | 
		| 365 | 2025-05-06 01:10:10 | tonneau | 3 | 134027 | 94 | 34.423 | 3893.5 | 
		| 364 | 2025-05-03 13:15:29 | tonneau | 3 | 134027 | 94 | 26.723 | 5015.4 | 
		| 363 | 2025-05-03 03:31:56 | tonneau | 3 | 134027 | 94 | 39.486 | 3394.3 | 
		| 362 | 2025-04-30 15:43:19 | tonneau | 3 | 134027 | 94 | 36.486 | 3673.4 | 
		| 361 | 2025-04-30 06:25:43 | tonneau | 1 | 69583 | 3 | 3.156 | 22047.8 | 
		| 360 | 2025-04-29 22:31:49 | tonneau | 4 | 151207 | 1120 | 60.143 | 2514.1 | 
		| 359 | 2025-04-28 08:10:20 | tonneau | 3 | 134027 | 94 | 24.566 | 5455.8 | 
		| 358 | 2025-04-26 11:58:08 | tonneau | 3 | 134027 | 94 | 34.296 | 3907.9 | 
		| 357 | 2025-04-26 09:28:20 | tonneau | 1 | 69583 | 3 | 5.500 | 12651.5 | 
		| 356 | 2025-04-25 22:05:53 | tonneau | 4 | 151207 | 1120 | 59.503 | 2541.2 | 
		| 355 | 2025-04-25 09:07:50 | tonneau | 1 | 69583 | 3 | 5.686 | 12237.6 | 
		| 354 | 2025-04-17 14:42:51 | tonneau | 3 | 134027 | 94 | 7.843 | 17088.7 | 
		| 353 | 2025-04-15 21:57:37 | tonneau | 1 | 69583 | 3 | 2.656 | 26198.4 | 
		| 352 | 2025-04-13 21:42:04 | tonneau | 1 | 69583 | 3 | 8.013 | 8683.8 | 
		| 351 | 2025-03-22 11:20:06 | tonneau | 1 | 69583 | 3 | 5.436 | 12800.4 | 
		| 350 | 2025-03-13 21:08:54 | tonneau | 1 | 69583 | 3 | 2.966 | 23460.2 | 
		| 349 | 2025-03-11 17:58:02 | tonneau | 1 | 69583 | 3 | 5.623 | 12374.7 | 
		| 348 | 2025-03-04 09:34:03 | tonneau | 1 | 69583 | 3 | 3.486 | 19960.7 | 
		| 347 | 2025-02-20 12:56:07 | tonneau | 3 | 134027 | 94 | 31.796 | 4215.2 | 
		| 346 | 2025-02-20 02:17:32 | tonneau | 1 | 69583 | 3 | 4.063 | 17126.0 | 
		| 345 | 2025-02-08 11:17:53 | tonneau | 3 | 134027 | 94 | 36.596 | 3662.3 | 
		| 344 | 2025-02-07 18:31:34 | tonneau | 3 | 134027 | 94 | 35.596 | 3765.2 | 
		| 343 | 2025-02-07 11:43:18 | tonneau | 3 | 134027 | 94 | 14.063 | 9530.5 | 
		| 342 | 2025-02-05 19:41:31 | tonneau | 1 | 69583 | 3 | 4.186 | 16622.8 | 
		| 341 | 2025-02-04 10:13:47 | tonneau | 1 | 69583 | 3 | 2.920 | 23829.8 | 
		| 340 | 2025-01-31 04:00:49 | tonneau | 3 | 134027 | 94 | 44.066 | 3041.5 | 
		| 339 | 2025-01-31 04:00:49 | tonneau | 2 | 107671 | 8 | 18.126 | 5940.1 | 
		| 338 | 2025-01-31 03:57:35 | tonneau | 1 | 69583 | 3 | 5.360 | 12981.9 | 
		| 337 | 2025-01-28 05:46:45 | tonneau | 4 | 151207 | 1120 | 95.973 | 1575.5 | 
		| 336 | 2025-01-27 09:20:52 | tonneau | 4 | 151207 | 1120 | 71.313 | 2120.3 | 
		| 335 | 2025-01-27 07:32:04 | tonneau | 4 | 151207 | 1120 | 51.940 | 2911.2 | 
		| 334 | 2025-01-27 04:33:14 | tonneau | 4 | 151207 | 1120 | 63.566 | 2378.7 | 
		| 333 | 2025-01-08 11:31:51 | tonneau | 2 | 107671 | 8 | 16.370 | 6577.3 | 
		| 332 | 2025-01-02 17:46:39 | tonneau | 3 | 134027 | 94 | 29.080 | 4608.9 | 
		| 331 | 2025-01-02 17:46:39 | tonneau | 2 | 107671 | 8 | 23.076 | 4665.9 | 
		| 330 | 2024-12-31 22:09:20 | tonneau | 1 | 69583 | 3 | 2.796 | 24886.6 | 
		| 329 | 2024-12-29 12:44:49 | tonneau | 3 | 134027 | 94 | 20.063 | 6680.3 | 
		| 328 | 2024-12-29 10:19:56 | tonneau | 3 | 134027 | 94 | 38.320 | 3497.6 | 
		| 327 | 2024-12-29 10:18:06 | tonneau | 2 | 107671 | 8 | 24.096 | 4468.4 | 
		| 326 | 2024-12-29 06:18:00 | tonneau | 3 | 134027 | 94 | 38.830 | 3451.6 | 
		| 325 | 2024-12-29 06:17:59 | tonneau | 3 | 134027 | 94 | 35.940 | 3729.2 | 
		| 324 | 2024-12-29 06:17:59 | tonneau | 2 | 107671 | 8 | 13.143 | 8192.3 | 
		| 323 | 2024-12-29 05:10:21 | tonneau | 1 | 69583 | 3 | 6.310 | 11027.4 | 
		| 322 | 2024-11-28 13:27:53 | tonneau | 1 | 69583 | 3 | 6.016 | 11566.3 | 
		| 321 | 2024-11-28 00:20:12 | tonneau | 3 | 134027 | 94 | 36.393 | 3682.8 | 
		| 320 | 2024-11-27 09:19:01 | tonneau | 2 | 107671 | 8 | 21.813 | 4936.1 | 
		| 319 | 2024-11-27 09:18:39 | tonneau | 3 | 134027 | 94 | 10.470 | 12801.1 | 
		| 318 | 2024-11-26 16:19:05 | tonneau | 3 | 134027 | 94 | 28.720 | 4666.7 | 
		| 317 | 2024-11-26 12:05:54 | tonneau | 4 | 151207 | 1120 | 57.176 | 2644.6 | 
		| 316 | 2024-11-26 10:34:24 | tonneau | 4 | 151207 | 1120 | 65.943 | 2293.0 | 
		| 315 | 2024-11-26 10:13:50 | tonneau | 4 | 151207 | 1120 | 16.830 | 8984.4 | 
		| 314 | 2024-11-26 10:13:51 | tonneau | 3 | 134027 | 94 | 7.530 | 17799.1 | 
		| 313 | 2024-11-26 10:13:53 | tonneau | 2 | 107671 | 8 | 3.860 | 27894.0 | 
		| 312 | 2024-11-26 10:13:43 | tonneau | 1 | 69583 | 3 | 1.123 | 61961.7 | 
		| 311 | 2024-11-16 19:46:03 | tonneau | 1 | 69583 | 3 | 5.486 | 12683.7 | 
		| 310 | 2024-11-09 10:53:09 | tonneau | 1 | 69583 | 3 | 7.813 | 8906.1 | 
		| 309 | 2024-10-28 16:17:11 | tonneau | 1 | 69583 | 3 | 5.500 | 12651.5 | 
		| 308 | 2024-10-21 03:25:32 | tonneau | 4 | 151207 | 1120 | 48.486 | 3118.6 | 
		| 307 | 2024-10-21 01:03:08 | tonneau | 3 | 134027 | 94 | 6.343 | 21129.9 | 
		| 306 | 2024-10-21 01:03:09 | tonneau | 2 | 107671 | 8 | 3.250 | 33129.5 | 
		| 305 | 2024-10-21 01:03:02 | tonneau | 1 | 69583 | 3 | 1.233 | 56433.9 | 
		| 304 | 2024-10-21 01:02:16 | tonneau | 3 | 134027 | 94 | 22.890 | 5855.3 | 
		| 303 | 2024-10-20 17:49:31 | tonneau | 3 | 134027 | 94 | 35.143 | 3813.8 | 
		| 302 | 2024-10-20 07:24:45 | tonneau | 4 | 151207 | 1120 | 71.630 | 2110.9 | 
		| 301 | 2024-10-20 07:24:52 | tonneau | 3 | 134027 | 94 | 33.486 | 4002.5 | 
		| 300 | 2024-10-20 07:24:53 | tonneau | 2 | 107671 | 8 | 18.126 | 5940.1 | 
		| 299 | 2024-10-20 07:24:06 | tonneau | 1 | 69583 | 3 | 5.796 | 12005.3 | 
		| 298 | 2024-10-12 20:53:57 | tonneau | 1 | 69583 | 3 | 5.970 | 11655.4 | 
		| 297 | 2024-09-27 00:55:47 | tonneau | 1 | 69583 | 3 | 9.110 | 7638.1 | 
		| 296 | 2024-09-16 23:04:01 | tonneau | 1 | 69583 | 3 | 11.766 | 5913.9 | 
		| 295 | 2024-09-08 21:10:58 | tonneau | 1 | 69583 | 3 | 9.406 | 7397.7 | 
		| 294 | 2024-09-08 14:15:43 | tonneau | 1 | 69583 | 3 | 7.266 | 9576.5 |