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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
4092025-09-15 18:07:03subclustered26271732.18628690.3
4082025-09-11 03:47:35subclustered13533210.60658303.6
4072025-09-09 15:04:28subclustered13533210.62356712.7
4062025-09-09 14:09:40subclustered13533210.61057921.3
4052025-09-09 02:52:15subclustered13533210.62656440.9
4042025-09-08 04:22:48subclustered4124790217.83015937.4
4032025-09-06 16:01:41subclustered13533210.53066664.2
4022025-09-03 22:20:37subclustered514881912612.33012069.7
4012025-09-03 03:37:54subclustered26271731.67037555.1
4002025-09-03 02:18:50subclustered39502483.90624327.7
3992025-09-02 15:27:48subclustered39502483.32628570.1
3982025-08-31 08:48:42subclustered4124790216.64018793.7
3972025-08-31 01:49:18subclustered514881912612.45311950.5
3962025-08-28 20:30:18subclustered514881912611.56312870.3
3952025-08-28 15:04:17subclustered13533210.56362756.7
3942025-08-28 11:44:57subclustered26271731.92032665.1
3932025-08-28 07:28:09subclustered4124790217.40616849.9
3922025-08-28 05:20:05subclustered39502483.89024427.8
3912025-08-27 08:13:00subclustered39502483.76625232.1
3902025-08-27 04:51:53subclustered41247902110.08012380.0
3892025-08-27 01:49:07subclustered26271731.83034271.6
3882025-08-26 20:09:00subclustered13533210.62356712.7
3872025-08-22 14:38:55subclustered514881912660.1132475.7
3862025-08-20 12:13:19subclustered514881912611.78312630.0
3852025-08-17 13:37:37subclustered13533211.98317817.4
3842025-08-14 19:49:10subclustered13533211.47024035.4
3832025-08-09 04:04:17subclustered13533212.34615060.5
3822025-08-04 04:10:04subclustered13533211.59622137.8
3812025-07-28 23:02:27subclustered514881912645.2533288.6
3802025-07-23 10:16:48subclustered514881912655.8002667.0
3792025-07-23 00:23:41subclustered514881912649.5203005.2
3782025-07-22 19:12:10subclustered41247902128.0804444.1
3772025-07-22 00:52:53subclustered514881912610.45314237.0
3762025-07-19 08:30:25subclustered13533210.58060917.2
3752025-07-18 20:44:40subclustered514881912666.5032237.8
3742025-07-14 22:51:01subclustered41247902122.6905499.8
3732025-07-14 20:16:02subclustered395024834.5962746.7
3722025-07-13 16:31:27subclustered13533210.67052734.3
3712025-07-13 03:28:07subclustered26271731.56340126.0
3702025-07-13 03:27:11subclustered4124790217.03017751.1
3692025-07-12 14:50:53subclustered13533210.62656440.9
3682025-07-11 18:55:21subclustered514881912666.4702238.9
3672025-07-10 17:43:21subclustered13533213.04611599.5
3662025-07-09 23:33:53subclustered514881912659.4102504.9
3652025-07-05 04:12:21subclustered514881912670.3132116.5
3642025-07-01 03:52:41subclustered514881912613.15611311.9
3632025-06-30 04:04:07subclustered13533211.79619672.6
3622025-06-25 03:28:53subclustered514881912642.6603488.5
3612025-06-18 08:30:34subclustered514881912686.2061726.3
3602025-06-17 13:25:45subclustered13533210.65653859.8
3592025-06-16 14:24:55subclustered13533214.7507438.3
3582025-06-14 11:46:02subclustered514881912662.2932389.0
3572025-06-14 09:36:11subclustered514881912670.4862111.3
3562025-06-01 03:34:47subclustered514881912660.4562461.6
3552025-05-25 23:32:34subclustered13533212.95311964.8
3542025-05-24 16:09:13subclustered514881912660.1762473.1
3532025-05-23 12:36:19subclustered514881912649.1903025.4
3522025-05-20 13:11:39subclustered262717310.2366127.1
3512025-05-20 07:35:50subclustered395024818.9535013.7
3502025-05-20 00:10:05subclustered514881912659.9302483.2
3492025-05-19 06:24:22subclustered4124790217.59316434.9
3482025-05-15 04:57:22subclustered4124790217.06317668.1
3472025-05-15 02:30:04subclustered39502483.34328424.8
3462025-05-13 19:08:10subclustered13533211.40625129.4
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
 
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