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History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL

Fuzzy-string Searches (up to 100 most recent) for "subclustered"

NumStarted At (CA time)Searched WordChange LimitWords CheckedWords MatchedSecondsWords Per Sec
3452025-05-09 21:21:10subclustered13533212.87312297.9
3442025-05-09 16:15:36subclustered13533210.61057921.3
3432025-04-30 15:25:24subclustered13533212.42314581.9
3422025-04-26 16:32:11subclustered41247902125.3764917.6
3412025-04-22 10:35:29subclustered13533210.62356712.7
3402025-04-14 13:59:25subclustered13533211.54622853.8
3392025-04-12 06:45:18subclustered41247902119.7366323.0
3382025-04-07 12:49:03subclustered395024817.1735533.3
3372025-04-07 11:17:39subclustered41247902136.8303388.3
3362025-04-07 02:48:56subclustered26271738.7507167.7
3352025-04-06 14:33:21subclustered13533211.29627262.3
3342025-04-05 07:54:16subclustered514881912613.45311062.1
3332025-03-31 19:39:46subclustered514881912656.7862620.7
3322025-03-29 16:40:39subclustered514881912660.8002447.7
3312025-03-26 06:26:24subclustered26271738.2207629.8
3302025-03-26 04:16:07subclustered13533213.7839339.7
3292025-03-26 03:53:42subclustered514881912662.2832389.4
3282025-03-24 20:55:55subclustered4124790217.50016638.7
3272025-03-24 07:13:01subclustered395024813.9536810.3
3262025-03-21 20:37:35subclustered41247902128.5034378.1
3252025-03-18 04:48:14subclustered41247902142.2262955.3
3242025-03-17 00:57:40subclustered41247902117.8306998.9
3232025-03-13 07:27:05subclustered13533213.6109787.3
3222025-03-07 00:17:57subclustered395024810.3439187.3
3212025-02-22 12:25:41subclustered13533211.01334878.6
3202025-02-19 19:12:43subclustered395024811.2208469.2
3192025-02-19 19:12:21subclustered41247902121.2965859.8
3182025-02-19 19:10:04subclustered26271735.73310939.6
3172025-02-19 19:09:53subclustered13533211.40325183.2
3162025-02-18 22:37:45subclustered13533213.34310569.0
3152025-02-18 01:01:21subclustered395024820.4664643.0
3142025-02-18 01:01:02subclustered41247902136.2063446.7
3132025-02-18 01:01:06subclustered26271734.53313835.6
3122025-02-18 00:57:14subclustered13533211.53023092.8
3112025-02-15 18:57:28subclustered41247902143.5502865.4
3102025-02-14 22:10:36subclustered395024826.4733589.5
3092025-02-13 06:14:39subclustered41247902140.6933066.6
3082025-02-13 06:14:45subclustered41247902133.2263755.8
3072025-02-13 06:14:46subclustered395024830.6463100.7
3062025-02-13 06:14:37subclustered262717312.4065055.4
3052025-02-13 06:11:41subclustered13533210.61057921.3
3042025-01-17 19:20:13subclustered41247902140.8763052.9
3032025-01-17 08:45:35subclustered514881912660.5502457.8
3022025-01-15 16:40:17subclustered514881912682.2231809.9
3012025-01-14 10:55:56subclustered41247902129.5634221.2
3002025-01-14 10:55:56subclustered395024819.1104972.5
2992025-01-14 10:56:05subclustered26271734.90612783.7
2982025-01-14 10:55:47subclustered13533211.97017935.0
2972025-01-13 22:47:16subclustered262717313.2034750.2
2962025-01-13 22:47:11subclustered395024811.4708284.6
2952025-01-13 22:44:33subclustered13533210.57661340.3
2942025-01-13 10:14:47subclustered41247902150.6662463.0
2932025-01-13 01:17:22subclustered514881912644.1263372.6
2922025-01-13 01:17:24subclustered41247902132.3003863.5
2912025-01-13 01:17:27subclustered395024814.2836652.9
2902025-01-13 01:17:27subclustered26271738.9866979.4
2892025-01-13 01:14:59subclustered13533210.93637747.9
2882025-01-10 16:28:21subclustered514881912680.5831846.8
2872025-01-09 09:36:38subclustered13533212.81312560.3
2862024-12-16 11:06:38subclustered514881912664.7202299.4
2852024-12-16 07:50:17subclustered514881912652.9402811.1
2842024-12-13 22:51:09subclustered395024820.0004751.2
2832024-12-13 22:51:09subclustered26271738.0337807.4
2822024-12-13 22:49:51subclustered514881912649.8902982.9
2812024-12-13 22:49:53subclustered41247902121.5005804.2
2802024-12-13 22:49:46subclustered13533211.06333238.0
2792024-12-06 20:30:43subclustered41247902117.4067169.4
2782024-12-06 20:30:41subclustered39502488.56311097.0
2772024-12-06 20:30:35subclustered26271733.75016724.5
2762024-12-03 15:28:15subclustered41247902122.7835477.3
2752024-12-03 15:28:14subclustered395024817.9705287.9
2742024-12-03 01:22:12subclustered41247902137.9733286.3
2732024-12-03 01:22:14subclustered41247902133.8603685.5
2722024-12-03 01:22:18subclustered395024826.4533592.2
2712024-12-03 01:22:19subclustered26271738.1107733.3
2702024-12-03 01:20:57subclustered13533212.20316038.1
2692024-11-26 05:34:22subclustered13533212.97011896.3
2682024-11-09 14:20:06subclustered13533211.48323824.7
2672024-11-03 03:07:50subclustered26271737.9537886.0
2662024-11-03 03:07:03subclustered41247902143.4232873.8
2652024-11-03 03:06:42subclustered13533211.31026971.0
2642024-10-31 10:00:44subclustered41247902136.1133455.5
2632024-10-31 10:00:50subclustered395024817.7505353.5
2622024-10-27 16:47:19subclustered395024819.5504860.6
2612024-10-27 16:47:19subclustered26271738.7837140.7
2602024-10-20 12:11:46subclustered41247902130.4734095.1
2592024-10-19 01:31:58subclustered41247902130.8004051.6
2582024-10-19 01:31:54subclustered395024822.1564288.9
2572024-10-18 15:20:33subclustered41247902133.2263755.8
2562024-10-18 15:20:33subclustered395024819.4964874.0
2552024-10-18 15:20:37subclustered26271734.34314440.9
2542024-10-18 15:16:54subclustered13533211.23328655.3
2532024-10-07 16:52:50subclustered13533215.4066535.7
2522024-10-02 12:59:02subclustered13533213.53310000.6
2512024-10-01 07:47:19subclustered13533213.23610918.4
2502024-09-06 09:45:52subclustered41247902164.6901929.0
2492024-09-04 06:23:13subclustered13533215.8006091.7
2482024-09-02 03:16:47subclustered13533215.9865902.4
2472024-08-26 11:42:32subclustered13533216.8305173.1
2462024-08-21 15:05:52subclustered41247902162.0032012.6
 
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