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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
4772025-12-29 10:24:31subclustered13533211.47024035.4
4762025-12-22 04:32:41subclustered4124790219.14313648.7
4752025-12-22 04:02:16subclustered41247902112.6109896.1
4742025-12-21 13:19:44subclustered26271733.26619203.0
4732025-12-21 02:25:15subclustered26271731.47042664.6
4722025-12-20 19:55:54subclustered13533210.65653859.8
4712025-12-20 15:20:02subclustered39502483.32628570.1
4702025-12-20 11:29:35subclustered4124790217.54616537.2
4692025-12-20 07:45:09subclustered4124790216.29619820.5
4682025-12-20 05:41:21subclustered39502484.08023290.2
4672025-12-19 01:49:42subclustered41247902122.4835550.4
4662025-12-19 01:49:31subclustered41247902125.7204851.9
4652025-12-17 23:10:36subclustered13533210.67352499.3
4642025-12-17 01:30:29subclustered514881912613.65610897.7
4632025-12-16 16:54:16subclustered4124790217.73316137.3
4622025-12-16 08:21:59subclustered26271731.92332614.1
4612025-12-15 03:00:35subclustered26271731.68637198.7
4602025-12-15 01:45:02subclustered39502484.04623485.9
4592025-12-14 15:42:36subclustered39502484.81319743.2
4582025-12-13 00:51:56subclustered514881912612.06312336.8
4572025-12-11 21:50:51subclustered395024821.7364371.7
4562025-12-11 06:24:58subclustered514881912612.00012401.6
4552025-12-09 15:37:41subclustered13533210.65653859.8
4542025-12-07 22:28:48subclustered26271731.45343163.8
4532025-12-07 22:14:39subclustered39502483.70325661.4
4522025-12-06 13:42:17subclustered39502483.68625779.7
4512025-12-06 05:22:10subclustered13533210.53066664.2
4502025-12-06 02:23:08subclustered26271731.67337487.7
4492025-12-05 19:42:56subclustered13533210.64354948.7
4482025-12-05 01:16:57subclustered39502483.73325455.1
4472025-12-02 10:10:31subclustered514881912613.93610678.7
4462025-11-29 09:51:26subclustered13533211.04633778.2
4452025-11-28 14:14:13subclustered13533210.67352499.3
4442025-11-25 20:01:28subclustered13533210.61057921.3
4432025-11-24 13:57:29subclustered13533210.61057921.3
4422025-11-21 11:50:29subclustered4124790218.12615356.9
4412025-11-14 23:59:59subclustered13533212.45414397.7
4402025-11-13 14:37:38subclustered514881912612.09612303.2
4392025-11-13 05:15:22subclustered4124790216.83018270.9
4382025-11-12 08:51:37subclustered4124790216.20320117.7
4372025-11-12 02:11:13subclustered13533210.54664710.6
4362025-11-10 14:14:56subclustered13533210.62656440.9
4352025-11-10 08:45:33subclustered39502483.76625232.1
4342025-11-10 08:32:40subclustered26271731.68637198.7
4332025-11-08 14:52:36subclustered13533210.53066664.2
4322025-11-07 11:20:04subclustered514881912610.23614538.8
4312025-11-01 07:14:15subclustered514881912611.87612531.1
4302025-10-30 21:20:39subclustered13533210.65653859.8
4292025-10-29 18:46:21subclustered514881912610.29614454.1
4282025-10-28 16:00:48subclustered13533210.54664710.6
4272025-10-28 07:11:19subclustered13533210.57661340.3
4262025-10-27 15:03:19subclustered514881912610.65313969.7
4252025-10-26 20:23:54subclustered13533210.62356712.7
4242025-10-23 14:02:25subclustered13533210.54664710.6
4232025-10-14 13:32:45subclustered514881912610.61014026.3
4222025-10-14 01:27:44subclustered39502483.25029238.2
4212025-10-12 03:04:34subclustered13533210.54664710.6
4202025-10-11 17:18:42subclustered26271731.70336827.4
4192025-10-11 08:08:23subclustered13533210.62356712.7
4182025-10-10 15:09:20subclustered13533210.54664710.6
4172025-10-07 16:01:40subclustered13533210.64055206.3
4162025-09-27 15:33:06subclustered13533210.54664710.6
4152025-09-25 21:01:10subclustered13533211.69020906.5
4142025-09-21 14:20:44subclustered13533210.54664710.6
4132025-09-19 08:05:11subclustered39502487.61012486.7
4122025-09-19 07:55:49subclustered4124790216.37619571.8
4112025-09-19 07:55:27subclustered39502483.82624836.4
4102025-09-18 22:56:02subclustered514881912611.09313415.6
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
 
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