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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
5162026-03-11 16:29:06subclustered13533211.25028265.6
5152026-03-10 12:42:26subclustered26271731.73636127.3
5142026-03-10 00:34:31subclustered39502485.71616624.2
5132026-03-09 19:52:41subclustered26271731.68637198.7
5122026-03-09 04:57:54subclustered4124790217.61016398.2
5112026-03-06 11:14:27subclustered26271731.65637872.6
5102026-02-25 01:22:14subclustered514881912629.2835082.1
5092026-02-22 05:05:51subclustered4124790217.25017212.4
5082026-02-19 10:54:03subclustered39502483.54626797.5
5072026-02-17 17:44:59subclustered39502483.92324222.3
5062026-02-16 05:54:23subclustered13533210.62656440.9
5052026-02-14 20:03:06subclustered4124790217.00017827.1
5042026-02-14 01:40:24subclustered41247902134.7503591.1
5032026-02-14 01:39:49subclustered41247902134.5503611.9
5022026-02-14 01:39:18subclustered41247902130.9704029.4
5012026-02-14 00:16:59subclustered26271733.32618856.6
5002026-02-13 11:05:55subclustered13533211.23328655.3
4992026-02-11 05:13:30subclustered13533212.00017666.0
4982026-02-09 05:27:52subclustered39502483.64326084.0
4972026-02-09 03:03:43subclustered41247902123.3465345.2
4962026-02-05 21:05:01subclustered41247902116.8737395.8
4952026-01-27 03:26:03subclustered514881912636.9304029.8
4942026-01-26 14:36:11subclustered13533212.95011976.9
4932026-01-24 17:05:40subclustered262717312.8604876.9
4922026-01-24 16:56:39subclustered395024827.9703397.4
4912026-01-24 15:22:37subclustered4124790217.15617438.5
4902026-01-24 11:53:52subclustered514881912614.12610535.1
4892026-01-23 21:25:04subclustered13533210.87640333.3
4882026-01-20 15:21:52subclustered514881912640.0033720.2
4872026-01-16 08:08:10subclustered39502483.39028030.7
4862026-01-16 04:35:57subclustered26271731.79634920.4
4852026-01-15 03:18:57subclustered4124790217.39016886.3
4842026-01-07 14:50:25subclustered13533210.64055206.3
4832026-01-05 22:33:03subclustered4124790217.40616849.9
4822026-01-05 21:56:00subclustered26271732.08030152.4
4812026-01-05 12:42:51subclustered13533210.65354107.2
4802026-01-03 16:37:17subclustered514881912632.1264632.4
4792026-01-02 16:46:17subclustered13533210.53366288.9
4782025-12-31 05:46:32subclustered13533210.59359581.8
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
 
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