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Of course, lag(-2) would have accomplished the same Lead and lag are much simpler than Cousin However, lead and lag require that you know how far to jump Cousin, on the other hand, does not it finds the start or end point for you by relative position Lead and lag may let you down when members (especially in a time dimension) are not both consecutive and contiguous This is one of the arguments for using a server time dimension rather than a hand-rolled time dimension in the source star schema A server time dimension is a part of your dimension design in BIDS A server time dimension ensures that dates are consecutive and contiguous In practice, however, server time dimensions are not used very much they have one or two other disadvantages Perhaps the best approach is to create a time dimension without any gaps, maybe using an SQL
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While loop with start and end dates If you base your time dimension on existing dates in your transactional relational database system, you may end up with gaps
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Head
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Head is not a navigation function Rather it is one of the set functions You can verify this by viewing the Functions pane The Functions tab is next to the Metadata tab However, the results are similar to those produced by the navigation functions, so it s included here for completeness
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--head select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, head([Customer][Customer Geography][Country],2) on rows from [Adventure Works]
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Analysis
The first parameter for Head is a set (here, the members of the Country level) The second parameter is a number (here it is 2) Show me the first two members of the Country level
Tail
Show me the last three members of the Country level
Syntax
--tail select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns,
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
tail([Customer][Customer Geography][Country],3) on rows from [Adventure Works]
Result
Analysis
If you omit the second numeric parameter, it defaults to 1 This will find the last member of a set You may want to exploit this to determine the end point for a range
prevmember
Here s a query showing Germany and the result of the prevmember function on Germany Functionally, prevmember is the same as lag(1)
Syntax
-- prevmember select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, {[Customer][Customer Geography][Country][Germany], [Customer][Customer Geography][Country][Germany]prevmember} on rows from [Adventure Works] -- lag equivalent select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, {[Customer][Customer Geography][Country][Germany], [Customer][Customer Geography][Country][Germany]lag(1)} on rows from [Adventure Works]
C h a p t e r 3 : Fa m i l i e s a n d Fr i e n d s : N a v i g a t i n g D i m e n s i o n s
Result
Analysis
Both queries have identical outcomes Often, prevmember will prove more useful in time dimensions Germany and France positions are probably arbitrary and based solely on an alphabetic sort
prevmemberprevmember
This query shows how to jump back two places
Syntax
-- prevmemberprevmember select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, {[Customer][Customer Geography][Country][Germany], [Customer][Customer Geography][Country][Germany]prevmemberprevmember} on rows from [Adventure Works]
Result
Analysis
This query selects Germany, then jumps two back to Canada and skips France This is more useful when the alphabetic (or key) position of a member has meaning to you
nextmember
This query demonstrates how to jump ahead by one
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Syntax
-- nextmember select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, {[Customer][Customer Geography][Country][Germany], [Customer][Customer Geography][Country][Germany]nextmember} on rows from [Adventure Works]
Result
Analysis
Here, we are reversing the direction of our horizontal navigation
nextmembernextmember
This query demonstrates jumping ahead by two
Syntax
-- nextmembernextmember select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, {[Customer][Customer Geography][Country][Germany], [Customer][Customer Geography][Country][Germany]nextmembernextmember} on rows from [Adventure Works]
Result
C h a p t e r 3 : Fa m i l i e s a n d Fr i e n d s : N a v i g a t i n g D i m e n s i o n s
Analysis
MDX is straightforward!
nextmember with a Range
This time, yet another navigation query or rather, two queries Functionally, they are equivalent
Syntax
-- range with nextmember select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, [Customer][Customer Geography][Country][Germany] :[Customer][Customer Geography][Country][Germany]nextmembernextmember on rows from [Adventure Works] -- lead equivalent select {[Measures][Internet Sales Amount],[Measures][Internet Tax Amount]} on columns, [Customer][Customer Geography][Country][Germany] :[Customer][Customer Geography][Country][Germany]lead(2) on rows from [Adventure Works]
Result
Analysis
Now you should have a few ideas of how to navigate your cube(s) MDX (unlike SQL) is positionally aware
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Descendants with an Unbalanced Hierarchy 1/2
You may or may not meet unbalanced hierarchies as you work with your own cubes The Employee dimension in Adventure Works contains an unbalanced hierarchy called Employees This is based on a source star schema dimension table that s a parent-child (self-join) table Unbalanced hierarchies need special attention
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