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h3. Objective
The objective of automatic ranking is to improve the response time that the user experiences, by providing a partial view of the data, in order to remain within certain defined limits.
This is accomplished by executing a set of predefined rankings on the dimensions involved in the analysis. It is possible to specify a filter for each dimension in the axes to reduce the number of elements involved.
When *{_}O3{_}* detects that an axis will hold more than the predefined number of elements (specified in rows and columns with the properties o3.client.maxXSize and |
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Objective
The objective of automatic ranking is to improve the response time that the user experiences, by providing a partial view of the data, in order to remain within certain defined limits.
This is accomplished by executing a set of predefined rankings on the dimensions involved in the analysis. It is possible to specify a filter for each dimension in the axes to reduce the number of elements involved.
When O3 detects that an axis will hold more than the predefined number of elements (specified in rows and columns with the properties o3.client.maxXSize and o3.client.maxYSize),
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O3
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Server
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automatically
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applies
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rankings
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on
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the
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dimensions
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in
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the
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axes.
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The
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model
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can
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specify,
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for
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each
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dimension,
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whether
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this
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ranking
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will
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be
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activated
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or
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not,
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as
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well
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as
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the
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number
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of
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elements
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to
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display.
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All
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four
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construction
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modes
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(See
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)
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allow
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the
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specification
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of
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this
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Ranking
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criteria.
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Configuring
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the
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Automatic
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Ranking
O3 Server applies automatic rankings considering dimensions in the following order:
- If there is a user-defined ranking for any of the dimensions, that ranking is considered first (current version allows users to specify rankings for one dimension only).
- Then the the rest of the dimensions are considered starting from the dimension closest to the numbers.
The order in which the dimensions are considered is very important since this order tries to respect the number of elements indicated at design time.
Automatic Rankings are activated from the Explore menu in O3Browser or from the Options menu in O3Portal. This option is inactive by default.
This default behaviour can be changed setting the property
o3.force.restrictions.ranking=true |
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in
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GServer_custom.properties.
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Current
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version
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supports
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automatic
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ranking
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in
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one
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axis
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only
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(columns
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or
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rows).
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This
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means
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that,
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even
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if
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both
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axes
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contain
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large
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sets
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of
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data,
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only
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one
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of
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them
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will
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be
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automatically
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ranked.
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When
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ranking,
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it
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is
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possible
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to
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show
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a
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summary
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of
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the
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elements
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left
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out
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in
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the
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ranking
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in
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a
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special
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element
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called
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"Others".
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Example:
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Suppose
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there
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are
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two
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dimensions:
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Countries
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with
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219
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elements
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and
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Products
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with
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98
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elements.
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- When
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- nesting
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- Products
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- inside
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- Countries,
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- the
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- size
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- of
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- the
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- axis
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- rises
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- to
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- 21462,
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- exceding
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- the
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- default
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- limit
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- of
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- 2500.
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- Therefore
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- an
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- automatic
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- ranking
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- is
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- applied
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- showing
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- the
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- first
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- 25
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- Countries.
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Notice
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- that
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- the
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- ranking
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- is
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- applied
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- to
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- Countries
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- because
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- it
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- is
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- the
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- outter
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- dimension
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- in
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- the
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- axis.
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- If
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- Countries
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- had
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- some
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- ranking
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- criteria
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- specified
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- in
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- the
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- model,
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- stating
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- for
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- instance
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- to
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- display
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- the
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- first
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- 10
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- elements,
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- then
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- this
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- ranking
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- would
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- be
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- applied
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- showing
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- the
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- first
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- 10
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- countries
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- for
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- the
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- 98
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- Products.
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- If
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- both
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- Countries
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- and
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- Products
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- had
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- some
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- ranking
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- criteria
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- specified
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- in
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- the
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- model,
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- this
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- ranking
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- would
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- be
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- applied
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- when
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- the
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- limit
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- is
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- reached,
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- reducing
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- the
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- number
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- of
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- elements
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- in
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- the
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- outter
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- dimension.
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