Every once in a while I find myself needing to load an image file into a database field. Assume there is a table similar to this and I already have one or more widget records. 1 2 3 4 5 6 7 8 9 10 11 create table dbo.Widget ( WidgetId tinyint not null primary key, WidgetName varchar(40) not null, WidgetDrawing varbinary(max) null ); insert into dbo.Widget (WidgetId, WidgetName) values (1, 'Widget A'), (2, 'Widget B'), (3, 'Widget C'); Now I have a drawing of one of those widgets which I would like to load into the WidgetDrawing column.

Sample Data Let’s start with some sample data, and store it in a file c:\temp\university-node.xml. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 <University> <Department> <Name>English</Name> <Chair>Professor Lit</Chair> </Department> <Department> <Name>Mathematics</Name> <Chair>Professor Calc</Chair> </Department> <Department> <Name>Biological Science</Name> <Chair>Professor Nature</Chair> </Department> <Department> <Name>Environmental Science</Name> <Chair>Professor Green</Chair> </Department> </University> Let’s format the same data as attributes, and store it in a file c:\temp\university-attribute.

I have an HTML document which I have been printing to PDF. The document includes words like configure which has fi which turns into a ligature when saved to PDF. If I’m just reading the PDF document on the screen, it will appear to look fine. However, the problem arises when I copy the text and discover the ligature when I paste the text into other places. Character sequences you may run into this problem with include: ff, fi, fl, ffi, and ffl.

What are implicit conversions An implicit conversion is when SQL Server has to convert from one data type to another data type to be able to make a comparison. Generally, implicit conversions are most problematic when they turn what could have been an index seek into an index scan. Implicit conversion can also affect cardinality estimates. Often this is a issue that can be fixed relatively easily. Sample Data This sample code creates a table with 1,000,000 rows.