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Optimizing queries in Microstrategy using VLDB properties

Optimizing queries in  Microstrategy using VLDB properties

#vldb #vldbproperties

The table below summarizes the Query Optimizations VLDB properties. Additional details about each property, including examples where necessary, are provided in the sections following the table.

Property Description Possible Values Default Value
Additional Final Pass Option
Determines whether the Engine calculates an aggregation function and a join in a single pass or in separate passes in the SQL.
• (default) Final pass CAN do aggregation and join lookup tables in one pass
• One additional final pass only to join lookup tables
Final pass CAN do aggregation and join lookup tables in one pass
Apply Filter Options
Indicates during which pass the report filter is applied.
• Apply filter only to passes touching warehouse tables
• Apply filter to passes touching warehouse tables and last join pass, if it does a downward join from the temp table level to the template level
• Apply filter to passes touching warehouse tables and last join pass
Apply filter only to passes touching warehouse tables
Attribute Element Number Count Method
Controls how the total number of rows are calculated for incremental fetch.
• Use Count(Attribute@ID) to calculate total element number (uses count distinct if necessary)
• Use ODBC cursor to calculate total element number
Use Count(Attribute@ID) to calculate total element number (uses count distinct if necessary)
For Tandem databases, the default is Use ODBC Cursor.
Count Distinct with Partitions
Determines how distinct counts of values are retrieved from partitioned tables.
• Do not select distinct elements for each partition
• Select distinct elements for each partition
Do not select distinct elements for each partition
Custom Group Banding Count Method
Helps optimize custom group banding when using the Count Banding method. You can choose to use the standard method that uses the Analytical Engine or database-specific syntax, or you can choose to use case statements or temp tables.
• Treat banding as normal calculation
• Use standard case statement syntax
• Insert band range to database and join with metric value
Treat banding as normal calculation
Custom Group Banding Points Method
Helps optimize custom group banding when using the Points Banding method. You can choose to use the standard method that uses the Analytical Engine or database-specific syntax, or you can choose to use case statements or temp tables.
• Treat banding as normal calculation
• Use standard case statement syntax
• Insert band range to database and join with metric value
Treat banding as normal calculation
Custom Group Banding Size Method
Helps optimize custom group banding when using the Size Banding method. You can choose to use the standard method that uses the Analytical Engine or database-specific syntax, or you can choose to use case statements or temp tables.
• Treat banding as normal calculation
• Use standard case statement syntax
• Insert band range to database and join with metric value
Treat banding as normal calculation
Data population for Intelligent Cubes
Defines if and how Intelligent Cube data is normalized to save memory resources.
• Do not normalize Intelligent Cube data
• Normalize Intelligent Cube data in Intelligence Server
• Normalize Intelligent Cube data in database using Intermediate Table Type
• Normalize Intelligent Cube data in database using Fallback Type
• Normalize Intelligent Cube data basing on dimensions with attribute lookup filtering
• Normalize Intelligent Cube data basing on dimensions with no attribute lookup filtering
Normalize Intelligent Cube data in Intelligence Server
Data population for reports
Defines if and how report data is normalized to save memory resources.
• Do not normalize report data
• Normalize report data in Intelligence Server
• Normalize report data in database using Intermediate Table Type
• Normalize report data in database using Fallback Table Type
• Normalize report data basing on dimensions with attribute lookup filtering
Do not normalize report data
Default Sort Behavior for Attribute Elements in Reports
Determines whether the sort order of attribute elements on reports considers special sort order formatting defined for attributes.
• Sort attribute elements based on the attribute ID form for each attribute
• Sort attribute elements based on the defined 'Report Sort' setting of all attribute forms for each attribute
Sort attribute elements based on the attribute ID form for each attribute
Dimensionality Model
Determines level (dimension) replacement for non parent-child related attributes in the same hierarchy.
• Use relational model
• Use dimensional model
Use relational model
Engine Attribute Role Options
Enable or disable the Analytical Engine's ability to treat attributes defined on the same column with the same expression as attribute roles.
• Enable Engine Attribute Role feature
• Disable Engine Attribute Role feature
Disable Engine Attribute Role feature
Filter tree optimization for metric qualifications
Determines if metric qualifications that are included in separate passes of SQL are included in a single pass of SQL when possible.
• Enable Filter tree optimization for metric qualifications
• Disable Filter tree optimization for metric qualifications
Enable Filter tree optimization for metric qualifications
Incremental Data Transfer
Determines whether data that is transferred between Intelligence Server and a database is performed using a single transfer of data or multiple, incremental transfers of data
• Enable Incremental Data Transfer
• Disable Incremental Data Transfer
Disable Incremental Data Transfer
Maximum Parallel Queries Per Report
Determines how many queries can be executed in parallel as part of parallel query execution support
User-defined
2
MD Partition Prequery Option
Allows you to choose how to handle prequerying the metadata partition.
• Use count(*) in prequery
• Use constant in prequery
Use count(*) in prequery
Multiple data source support
Defines which technique to use to support multiple data sources in a project.
• Use MultiSource Option to access multiple data sources
• Use database gateway support to access multiple data sources
Use MultiSource Option to access multiple data source
OLAP function support
Defines whether OLAP functions support backwards compatibility or reflect enhancements to OLAP function logic.
• Preserve backwards compatibility with 8.1.x and earlier
• Recommended with 9.0 and later
Preserve backwards compatibility with 8.1.x and earlier
Parallel Query Execution
Determines whether MicroStrategy attempts to execute multiple queries in parallel to return report results faster and publish Intelligent Cubes.
• Disable parallel query execution
• Enable parallel query execution for multiple data source reports only
• Enable parallel query execution for all reports that support it
Disable parallel query execution
Parallel Query Execution Improvement Estimate in SQL View
Determines whether reports and Intelligent Cubes include an estimate in the percent of processing time that would be saved if parallel Query execution was used to run multiple queries in parallel.
• Disable parallel query execution improvement estimate in SQL view
• Enable parallel query execution improvement estimate in SQL view
Disable parallel query execution improvement estimate in SQL view
Rank Method if DB Ranking Not Used
Determines how calculation ranking is performed.
• Use ODBC ranking (MSTR 6 method)
• Analytical engine performs rank
Use ODBC ranking (MSTR 6 method).
Remove Aggregation Method
Determines whether to keep or remove aggregations in SQL queries executed from MicroStrategy.
• Remove aggregation according to key of FROM clause
• Remove aggregation according to key of fact tables (old behavior)
Remove aggregation according to key of FROM clause
Remove Group By Option
Determines whether Group By and aggregations are used for attributes with the same primary key.
• Remove aggregation and Group By when Select level is identical to From level
• Remove aggregation and Group By when Select level contains all attribute(s) in From level
Remove aggregation and Group By when Select level is identical to From level
Remove Repeated Tables For Outer Joins
Determines whether an optimization for outer join processing is enabled or disabled.
• Disable optimization to remove repeated tables in full outer join and left outer join passes
• Enable optimization to remove repeated tables in full outer join and left outer join passes
Enable optimization to remove repeated tables in full outer join and left outer join passes
Set Operator Optimization
Allows you to use set operators in sub queries to combine multiple filter qualifications. Set operators are only supported by certain database platforms and with certain sub query types.
• Disable Set Operator Optimization
• Enable Set Operator Optimization (if supported by database and [Sub Query Type])
Disable Set Operator Optimization
SQL Global Optimization
Determines the level by which SQL queries in reports are optimized.
• Level 0: No optimization
• Level 1: Remove Unused and Duplicate Passes
• Level 2: Level 1 + Merge Passes with Different SELECT
• Level 3: Level 2 + Merge Passes, which only hit DB Tables, with different WHERE
• Level 4: Level 2 + Merge All Passes with Different WHERE
Level 4: Level 2 + Merge All Passes with Different WHERE
Sub Query Type
Allows you to determine the type of subquery used in engine-generated SQL.
• WHERE EXISTS (SELECT * ...)
• WHERE EXISTS (SELECT col1, col2...)
• WHERE COL1 IN (SELECT s1.COL1...) falling back to EXISTS (SELECT * ...) for multiple columns IN
• WHERE (COL1, COL2...) IN (SELECT s1.COL1, s1.COL2...)
• Use Temporary Table, falling back to EXISTS (SELECT *...) for correlated subquery
• WHERE COL1 IN (SELECT s1.COL1...) falling back to EXISTS (SELECT col1, col2 ...) for multiple columns IN
• Use Temporary Table, falling back to IN (SELECT COL) for correlated subquery
Use Temporary Table, falling back to EXISTS (SELECT *...) for correlated subquery
Transformation Formula Optimization
Defines whether to attempt to improve performance of reports that use expression-based transformations.
• Always join with transformation table to perform transformation
• Use transformation formula instead of join with transformation table when possible
Use transformation formula instead of join with transformation table when possible
Unrelated Filter Options
Determines whether the Analytical Engine should keep or remove the unrelated filter.
• Remove unrelated filter
• Keep unrelated filter
• Keep unrelated filter and put condition from unrelated attributes in one subquery group
Remove unrelated filter
Unrelated Filter Options for Nested Metrics
Determines whether the Analytical Engine should keep or remove the unrelated filters when using nested metrics.
• Use the 8.1.x behavior:
• Use the 9.0.x behavior:
Use the 8.1.x behavior
WHERE Clause Driving Table
Determines the table used for qualifications in the WHERE clause.
• Use lookup table
• Use fact table
Use fact table







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