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

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

NumStarted At (CA time)Searched WordChange LimitWords CheckedWords MatchedSecondsWords Per Sec
3702025-07-12 00:21:27columns313402724438.6263469.9
3692025-07-09 21:46:24columns16958323.00023194.3
3682025-07-08 02:34:53columns313402724441.3933237.9
3672025-07-06 18:47:39columns31340272447.39018136.3
3662025-07-05 09:26:05columns313402724424.3005515.5
3652025-06-29 12:41:31columns16958321.11062687.4
3642025-06-24 15:18:28columns16958325.07613708.2
3632025-06-21 21:31:46columns16958328.4238261.1
3622025-06-20 18:14:09columns313402724442.7203137.3
3612025-06-20 12:21:16columns313402724437.6403560.8
3602025-06-20 02:47:36columns313402724423.1565788.0
3592025-06-18 05:34:13columns21076711916.1606662.8
3582025-06-18 03:02:11columns313402724444.9132984.1
3572025-06-16 03:56:08columns16958322.95323563.5
3562025-05-21 21:55:20columns16958323.00023194.3
3552025-05-14 02:42:56columns16958322.67326031.8
3542025-05-07 21:49:02columns16958325.70312201.1
3532025-05-04 08:39:42columns16958323.27621240.2
3522025-04-27 02:49:24columns16958321.10662914.1
3512025-04-23 19:26:57columns313402724421.0136378.3
3502025-04-22 14:23:46columns313402724410.48612781.5
3492025-04-20 21:10:37columns16958326.26311110.2
3482025-04-14 04:13:53columns16958324.56315249.4
3472025-04-14 01:57:07columns16958326.07611452.1
3462025-04-05 13:18:59columns16958321.14061037.7
3452025-03-26 23:13:12columns16958326.32610999.5
3442025-03-21 00:14:56columns21076711913.6567884.5
3432025-03-20 09:07:37columns313402724418.8307117.7
3422025-03-19 21:15:10columns16958325.51612614.8
3412025-03-19 03:14:13columns31340272446.65620136.3
3402025-03-18 03:07:19columns313402724438.3763492.5
3392025-03-18 03:03:50columns313402724435.3303793.6
3382025-03-17 17:22:57columns313402724430.0164465.2
3372025-03-16 21:54:36columns16958327.3739437.5
3362025-03-16 14:53:28columns313402724427.8264816.6
3352025-03-14 13:12:46columns31340272446.78319759.3
3342025-03-13 14:54:22columns16958326.51610678.8
3332025-03-11 19:35:45columns16958323.73318640.0
3322025-03-10 15:42:26columns16958323.86018026.7
3312025-03-07 13:55:44columns16958322.64326327.3
3302025-03-06 18:05:49columns21076711916.7036446.2
3292025-03-03 22:12:21columns16958323.03022964.7
3282025-03-02 12:38:22columns21076711920.6435215.9
3272025-03-02 12:37:25columns16958325.45312760.5
3262025-02-25 20:51:43columns313402724420.1266659.4
3252025-02-13 06:51:41columns313402724438.9063444.9
3242025-02-12 17:48:02columns313402724435.1133817.0
3232025-02-09 12:59:33columns21076711913.2038155.0
3222025-02-09 06:23:14columns16958326.76310288.8
3212025-02-08 05:57:10columns313402724431.5164252.7
3202025-02-08 01:38:53columns313402724435.7033753.9
3192025-02-08 01:38:46columns21076711923.8134521.5
3182025-02-02 17:53:33columns169583211.4066100.6
3172025-01-31 09:34:26columns16958329.1407613.0
3162025-01-01 18:27:22columns16958322.89024077.2
3152024-12-30 10:36:10columns16958322.17032065.9
3142024-12-17 23:26:31columns16958323.23321522.7
3132024-12-13 06:45:33columns16958323.71618725.2
3122024-12-09 16:51:01columns16958325.87311847.9
3112024-12-01 02:29:03columns21076711916.5936488.9
3102024-11-30 06:10:44columns313402724427.2204923.8
3092024-11-29 12:43:55columns313402724432.8164084.2
3082024-11-29 12:09:57columns313402724433.3304021.2
3072024-11-29 12:09:56columns21076711918.2805890.1
3062024-11-29 11:32:00columns16958325.65612302.5
3052024-11-27 11:56:12columns16958325.98311630.1
3042024-10-29 22:01:50columns16958324.42315732.1
3032024-10-26 22:00:59columns16958326.72010354.6
3022024-10-17 08:42:44columns16958325.62612368.1
3012024-09-29 13:29:00columns16958329.3607434.1
3002024-09-24 23:15:06columns16958325.09313662.5
2992024-09-09 09:29:51columns16958329.7507136.7
2982024-09-08 00:24:38columns313402724454.5502457.0
2972024-09-06 04:34:54columns313402724471.1761883.0
2962024-09-06 04:34:34columns21076711918.5005820.1
2952024-09-06 04:34:17columns169583211.7505922.0
2942024-09-03 10:11:10columns16958324.06317126.0
2932024-08-27 20:23:43columns16958324.01617326.4
2922024-08-25 03:32:33columns16958329.0637677.7
2912024-08-12 21:31:02columns16958325.01613872.2
2902024-08-09 20:13:31columns16958326.11011388.4
2892024-07-30 09:39:03columns313402724424.6565435.9
2882024-07-30 03:51:20columns313402724426.5465048.9
2872024-07-29 13:25:59columns16958324.54615306.4
2862024-07-29 04:57:58columns31340272449.81313658.1
2852024-07-27 11:58:07columns21076711913.4538003.5
2842024-07-27 11:56:01columns31340272447.43618024.1
2832024-07-27 02:18:41columns313402724436.7203650.0
2822024-07-27 02:18:36columns2107671196.12317584.7
2812024-07-27 02:17:37columns16958324.86014317.5
2802024-07-24 01:39:21columns16958324.37315912.0
2792024-07-11 12:19:53columns16958323.12622259.4
2782024-07-01 20:13:15columns16958325.71612173.4
2772024-06-24 07:16:02columns16958324.80014496.5
2762024-05-29 13:30:52columns16958323.90617814.4
2752024-05-28 05:49:55columns16958322.59326834.9
2742024-05-11 03:39:46columns16958323.61019275.1
2732024-05-05 11:55:24columns16958322.64026357.2
2722024-04-30 12:09:15columns16958322.45328366.5
2712024-04-27 00:31:56columns16958321.31352995.4
 
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