Thursday, December 27, 2012

Importance of Audit in Windows Servers

From -

Importance of Folder and File Auditing to track changes on Windows Servers.   If something gets change that your job requires you to be responsible, it is to your benefit to:

A) Lock down and password protect and minimize the password to (3) people only
B) Turn File Auditing on.  
C) Ensure that the only change capability is assigned to individuals rather than a service account.  If a service account is compromised you will not know be able to track the changes down.

Thursday, December 20, 2012

How to write efficient database JOINs

How to write efficient database JOINs
Last updated March 27, 2009. Created by moshe weitzman on June 21, 2003.
Edited by bekasugkallenbergpureginStevenLog in to edit this page.
This page is based on an e-mail posted by Craig Courtney on 6/21/2003 to the drupal-devel mailing list.
There are 3 kinds of joins: INNER, LEFT OUTER, and RIGHT OUTER. Each requires an ON clause to let the RDBMS know what fields to use when joining the tables. For each join there are two tables: the LEFT table and the RIGHT table. The syntax is as follows:
{left table} (INNER | LEFT OUTER | RIGHT OUTER) JOIN {right table} ON (join criteria)
An INNER JOIN returns only those rows from the LEFT table having a matching row in the RIGHT table based on the join criteria.
A LEFT OUTER JOIN returns all rows from the LEFT table even if no matching rows where found in the RIGHT table. Any values selected out of the RIGHT table will be NULL for those rows where no matching row is found in the RIGHT table.
A RIGHT OUTER JOIN works exactly the same as a LEFT OUTER JOIN but reversing the direction. So it would return all rows in the RIGHT table regardless of matching rows in the LEFT table.
It is recommended that you not use RIGHT OUTER JOIN since a query can always be rewritten to use LEFT OUTER JOIN which tends to be more portable and easier to read.
If there are multiple rows in one table that match one row in the other table, the join will return that same row many times.
For example:
Table A
tid, name
1, 'Linux'
2, 'Debian'
Table B
fid, tid, message
1, 1, 'Very Cool'
2, 1, 'What an example'
Query 1: SELECT, b.message FROM a INNER JOIN b ON a.tid = b.tid
Result 1:
Linux, Very Cool
Linux, What an example
Query 2: SELECT, b.message FROM a LEFT JOIN b ON a.tid = b.tid
Result 2:
Linux, Very Cool
Linux, What an example
Debian, NULL
Visual Examples example

Hope that helps in reading some of the queries.

Monday, December 03, 2012

SQL Data Cache Very good stuff. Cache data, but poll SQL Server for changes. Read the article above. Service Broker issue