Now let's expand the query beyond its current selection.
Suppose the information consumer asks that we add a couple of features to the
query result. He asks that we again provide total headcount for the years
1997 and 1998 for the entire company, but this time he wants us to break
out the current pay types to show composition of the workers in our totals.
Again, we are to provide the information in a two-dimensional grid, with the
years as column headings. He states that he wants to see the pay types in the
rows.
-
Select File
-> New from the top menu.
- Type the
following query into the Query pane:
--MDX02-2: Tutorial Query No. 2
SELECT
{([Time].[1997]),
([Time].[1998])}ON COLUMNS,
{[Pay Type].[Pay Type].Members} ON ROWS
FROM HR
WHERE
([Measures].[Count])
The diagram below labels the various parts of the
query:
Illustration 5: Labeled Parts of a Basic MDX Query
-
Click Query
on the top menu, and then select Run.
We see
the results below, which appear in the Query pane as soon as Analysis
Services fills the cells that it determines to be specified by the query.
As is apparent, the two pay types within the organization are hourly and
salaried.
Illustration 6: The Initial Query Results
The query delivers the results that were requested by the
information consumer. A quick review indicates that the values associated with
the two pay types total to the values we received in the first query (MDX02-01)
above. (We will discuss the .members components in the next lesson).
- Save the query
as MDX02-2.
- Exit the Sample
Application.
As we
move into the stages of query building, from basic to advanced, we will
constantly reinforce the concept that an MDX query result consists of
another cube. All queries return cells, and the end consumer may be
interested in either the data in the respective cells, the members that are
associated with the data, properties of those members, or a combination of
these. We will look at examples of each of these from various perspectives as
we progress through the series.
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