Applications removed always on display in the system report
There are a few applications that I installed, used for some time and then them, deleted using all the methods that I could find. There is no trace of the any of these applications with the exception of entries about this Mac > report system > software > facilities.
I'm on El Capitan 10.11.4, using a MacBook Pro. It works perfectly, but the perfectionist in me just don't like these entries. How can I remove them?
If they do not show in the Applications, all is well. Facilities is a story of, well, facilities. If you have installed an application several times, or updated, it will also show several times. It is by design.
Tags: Mac OS & System Software
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See the communication from this "criticism" - McAfee
You should make the fix McAfee, if necessary. There are corresponding communications for their enterprise products.
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Hi liagray1,
Thank you for using the Microsoft answers forum. Hope you do well apart from the problem of windows update.
Here are some steps that may help you to install the updates successfully.
Step 1: First remove the updates.
To remove the updates, go to "Control Panel"-> "features/characteristics of the program. In the left pane, click on "view installed updates".
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Step 2: put the system in a clean boot State.
To perform a clean boot.
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Exit command prompt and restart the computer.
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Reply back and let us know if this helps.
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Hello.
I work with a bunch of provider (I can't change the data model) that is running some logging activity of audit of the java interface. A report is needed in order to identify who does what to change (old and new) and when.
The system stores a matrix as of several thresholds that are applied to new accounts, because they are introduced into the system.
When a manual adjustment is made to the matrix already attached to an account, the java application stores a record of who made the change in an audit tableWITH matrix_table AS ( -- no indexes or constraints SELECT '20090101' matrix_date, '000' attr_type, 20 percent_1, 40 percent_2, 'A' rate_1, 'D' rate_2, 5 amount_1, 10 amount_2 FROM dual UNION ALL SELECT '20090101' matrix_date, '001' attr_type, 40 percent_1, 60 percent_2, 'B' rate_1, 'E' rate_2, 10 amount_1, 15 amount_2 FROM dual UNION ALL SELECT '20090101' matrix_date, '002' attr_type, 60 percent_1, 80 percent_2, 'C' rate_1, 'F' rate_2, 15 amount_1, 20 amount_2 FROM dual UNION ALL SELECT '20090101' matrix_date, '003' attr_type, 80 percent_1, 99 percent_2, 'D' rate_1, 'G' rate_2, 20 amount_1, 25 amount_2 FROM dual UNION ALL SELECT '20100101' matrix_date, '000' attr_type, 21 percent_1, 41 percent_2, 'A' rate_1, 'E' rate_2, 4 amount_1, 9 amount_2 FROM dual UNION ALL SELECT '20100101' matrix_date, '001' attr_type, 41 percent_1, 61 percent_2, 'B' rate_1, 'F' rate_2, 9 amount_1, 14 amount_2 FROM dual UNION ALL SELECT '20100101' matrix_date, '002' attr_type, 61 percent_1, 81 percent_2, 'C' rate_1, 'G' rate_2, 14 amount_1, 19 amount_2 FROM dual UNION ALL SELECT '20100101' matrix_date, '003' attr_type, 81 percent_1, 99 percent_2, 'D' rate_1, 'H' rate_2, 19 amount_1, 24 amount_2 FROM dual UNION ALL SELECT '20110101' matrix_date, '000' attr_type, 22 percent_1, 42 percent_2, 'A' rate_1, 'F' rate_2, 3 amount_1, 8 amount_2 FROM dual UNION ALL SELECT '20110101' matrix_date, '001' attr_type, 42 percent_1, 62 percent_2, 'B' rate_1, 'G' rate_2, 8 amount_1, 13 amount_2 FROM dual UNION ALL SELECT '20110101' matrix_date, '002' attr_type, 62 percent_1, 82 percent_2, 'C' rate_1, 'H' rate_2, 13 amount_1, 18 amount_2 FROM dual UNION ALL SELECT '20110101' matrix_date, '003' attr_type, 82 percent_1, 99 percent_2, 'D' rate_1, 'I' rate_2, 18 amount_1, 23 amount_2 FROM dual) SELECT * FROM matrix_table;
and a record of the new matrix associated with the account in another table auditWITH manual_adjustment AS ( -- no indexes or constraints SELECT '1234' account_no, '20100809' change_date, '234512' change_time, 'John Doe' change_user FROM dual UNION ALL SELECT '1234' account_no, '20100810' change_date, '001546' change_time, 'John Doe' change_user FROM dual) SELECT * FROM manual_adjustment;
The example above shows one changed once a John Doe and then changed back. Java process appears to record the date and time the change occurs and the audit_record values do not match exactly the time of the manual_adjustment.WITH audit_record AS ( -- no indexes or constraints SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '234508' change_time, 'jdoe' change_user, '1234,000,22,41,A,E,4,9' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '234509' change_time, 'jdoe' change_user, '1234,001,41,61,B,F,9,14' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '234510' change_time, 'jdoe' change_user, '1234,002,61,81,C,G,14,19' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '234511' change_time, 'jdoe' change_user, '1234,003,81,99,D,H,19,24' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '001543' change_time, 'jdoe' change_user, '1234,000,21,41,A,E,4,9' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '001544' change_time, 'jdoe' change_user, '1234,001,41,61,B,F,9,14' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '001545' change_time, 'jdoe' change_user, '1234,002,61,81,C,G,14,19' change_data FROM dual UNION ALL SELECT 'Account Matrix' tablename, 'add' change_type, '20100809' change_date, '001546' change_time, 'jdoe' change_user, '1234,003,81,99,D,H,19,24' change_data FROM dual) SELECT * FROM audit_record;
The audit based on the test data report must provide who changed what and when. When to use the date/time of the response (s) stored in manual_adjustment. What should identify the item changed values prerequisites audit_record or the matrix_table initial if no previous audit_record value exists. So in the example, John Doe has first made a change to the item of data of 1 percent, and since no prior audit were recorded in audit_record, the matrix_table is compared to (I made the order of the data in the columns matrix_table and audit_record.change_data). The old value is retrieved from matrix_table, and the new value is retrieved from audit_record. Then, John Doe has reversed the change to the data item for 1 percent. Since a pre-audit was recorded at audit_record, the most recent (s) audit_record are compared to the previous audit_record (s). The old value is retrieved from the previous audit_record and the new value is retrieved from the most recent audit_record.
The audit report must be presented as a database view (all current reports use a database view that is queried by other software for editing).Changed By Changed When Account Attribute Element Old Value New Value ---------- ----------------- ------- --------- --------- --------- --------- John Doe 20100809 23:45:12 1234 000 Percent 1 21 22 John Doe 20100810 00:15:46 1234 000 Percent 1 22 21
I have trouble to determine how to approach the question from the point of view SQL. The analysis of the change_data by commas with REGEXP_SUBSTR is quite simple and I don't have the ability to create functions to determine certain values, but at that time, I also try to tune and feel that I am limit myself to the approach already too. Any suggestions?
Thank you
Luke
Oracle 10 g 2
Published by: Luke Mackey on Aug 10, 2010 08:35
Table of audit_record has been fixed.
Published by: Luke Mackey on August 10, 2010 09:03
Add a description of how the audit report values are obtained.Hi, Luke,.
Sorry, that it lasted so long.
It is not enough:WITH manual_adjustment_d AS ( SELECT change_user AS changed_by , TO_DATE ( change_date || change_time , 'YYYYMMDDHH24:MI:SS' ) AS changed_when , account_no AS account FROM manual_adjustment ) , change_history AS ( SELECT TO_DATE ( change_date || change_time , 'YYYYMMDDHH24:MI:SS' ) AS changed_when , change_user , REGEXP_SUBSTR (change_data, '[^,]+', 1, 1) AS account , REGEXP_SUBSTR (change_data, '[^,]+', 1, 2) AS attr_type , TO_NUMBER (REGEXP_SUBSTR (change_data, '[^,]+', 1, 3)) AS percent_1 , TO_NUMBER (REGEXP_SUBSTR (change_data, '[^,]+', 1, 4)) AS percent_2 , REGEXP_SUBSTR (change_data, '[^,]+', 1, 5) AS rate_1 , REGEXP_SUBSTR (change_data, '[^,]+', 1, 6) AS rate_2 , TO_NUMBER (REGEXP_SUBSTR (change_data, '[^,]+', 1, 7)) AS amount_1 , TO_NUMBER (REGEXP_SUBSTR (change_data, '[^,]+', 1, 8)) AS amount_2 FROM audit_record WHERE tablename = 'Account Matrix' AND change_type = 'add' -- UNION ALL -- SELECT TO_DATE ( matrix_date , 'YYYYMMDD' ) AS changed_when , NULL AS change_user , NULL AS account , attr_type, percent_1, percent_2, rate_1, rate_2, amount_1, amount_2 FROM matrix_table ) , got_change_num AS ( SELECT ch.* , ROW_NUMBER () OVER ( PARTITION BY attr_type ORDER BY changed_when ) AS change_num FROM change_history ch ) , elements AS ( SELECT 1 AS element_num, 'Percent 1' AS element_name FROM dual UNION ALL SELECT 2, 'Percent 2' FROM dual UNION ALL SELECT 3, 'Rate 1' FROM dual UNION ALL SELECT 4, 'Rate 2' FROM dual UNION ALL SELECT 5, 'Account 1' FROM dual UNION ALL SELECT 6, 'Account 2' FROM dual ) , got_diff AS ( SELECT ma.* , ar.attr_type AS attribute , el.element_num , el.element_name , CASE el.element_name WHEN 'Percent 1' THEN TO_CHAR (pr.percent_1) WHEN 'Percent 2' THEN TO_CHAR (pr.percent_2) WHEN 'Rate 1' THEN pr.rate_1 WHEN 'Rate 2' THEN pr.rate_2 WHEN 'Account 1' THEN TO_CHAR (pr.amount_1) WHEN 'Account 2' THEN TO_CHAR (pr.amount_2) END AS old_value , CASE el.element_name WHEN 'Percent 1' THEN TO_CHAR (ar.percent_1) WHEN 'Percent 2' THEN TO_CHAR (ar.percent_2) WHEN 'Rate 1' THEN ar.rate_1 WHEN 'Rate 2' THEN ar.rate_2 WHEN 'Account 1' THEN TO_CHAR (ar.amount_1) WHEN 'Account 2' THEN TO_CHAR (ar.amount_2) END AS new_value FROM manual_adjustment_d ma JOIN user_table ut ON ma.changed_by = ut.user_name JOIN got_change_num ar ON ar.changed_when BETWEEN ma.changed_when - ( 10 -- seconds before / (24 * 60 * 60) ) AND ma.changed_when + ( 5 -- seconds after / (24 * 60 * 60) ) AND ar.change_user = ut.user_code JOIN got_change_num pr ON ar.attr_type = pr.attr_type AND ar.change_num = pr.change_num + 1 CROSS JOIN elements el ) SELECT changed_by , changed_when , account , attribute , element_name AS element , old_value , new_value FROM got_diff WHERE old_value != new_value ORDER BY changed_when , element_num ;
As always, to understand a query that uses subqueries, run each auxiliary request by himself and watch its result set.
Manual_adjustment_d of the subquery is just the corresponding columns of manual_adjustment, with the date converted to DATE.
Subquery change_history is a combination of audit_record and matrix_table, with the converted data in common columns common and converted to DATEs dates.
Subquery got_change_num is change_history, with a new column, change_num, added, to make it easy to find the last change before a given change.
Elements of subquery contains a line for each item that you level. You can have a real table like that, in the case of shich you don't need the subquery. This is necessary for the non swivel data between 1 column on 6 rows and 6 columns on 1 line.
Got_diff of the subquery is where most of the work takes place. He joined manual_adjustment_d in two rows of got_change_num: (1) the line has the same user and "almost the same" time and (2) the previous row for the same attribute. As posted, a row of got_change_num will be condered as "almost at the same time" like a row of mandual_adjustment_d if it is dated not earlier than 10 seconds ealeir and not later than 5 seconds following line in manual_adjustment_d. You can easily change that. Got_diff also of the Nations United-pivot of the data on a separate line for each item.
As often happens, the main query plays the same role in this query as the final step takes place in the Tour de France: not much changes, and the results of this part are all that matters. In this case, change is all that really unchanged lines are ignored. The only reason why I haven't done this in got_diff was I wanted to use the alias old_value and new_value, rather than repeat the CASE expressions.I'm sure that the query can be a bit shortened and consierably more effective.
Returned could be simplified if you have stored your dates in the DATE columns.
It would be easier and more effective if you knew that all data checked, including the data of matrix_table, was audit_record. Then we wouldn't need matrix_table in this request at all, and we wouldn't have to reconcile the different ways of you these two tables to store the same data. -
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Run the application and select the columns in the report menu interactive action.
Save the layout by default if you always see these columnsBR, Jari
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I'm sorry I let this get so out of hand here,
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Multiple copies of the same message are repeated almost always anti virus analyzes incoming messages. Disable analysis and the problem goes away then turn it on and it resumes.
My guess is that your filter problems and research problems are also associated with this uniquitous and most ignored security tool that mess so far more than it should...
Removal of the index
I assume you mean the global-messages - db.sqlite. If you close Thunderbird and now delete. Research will be incomplete until it rebuilt and the time to do this will have a lot to do with how much mail is and how busy the computer is.Now, create an exclusion in your anti virus program for Thunderbird profile folders. My guess is it is scanning the files in your profile, every time that Thunderbird tries to open and turning usually things in a fierce struggle, including Thunderbird loses that he just does not wait if files are locked. He expects exclusive access to her files immediately, not in 10 minutes when anti virus did it's thing. So things are added to the index but not deleted. Mails do not move as the destination or source file is 'in service', etc..
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