# Licensed Materials - Property of IBM
# IBM Cognos Products: OQP
# (C) Copyright IBM Corp. 2005, 2015
# US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM corp.

# === Capabilities for Cognos ROLAP ===

#
# OLAP Metadata
# 

# Nothing here so far ...

#
# OLAP Data
# 

# Indicates if this provider supports the currency units.
olap.data.supportCurrencyUnits=false

# Indicates if this provider supports the setting of MDXMissingMemberMode for data queries.
olap.data.supportMDXMissingMemberMode=false

#
# MDX Optimizations
# This configuration flags says whether the provider supports replacing the aggregate of child members with the parent
# when XQE believes this will be true.  This is not guaranteed to work for all providers, so this setting must default
# to false.
#
mdx.optimize.parentmember=true

#
# MDX Function Support
#
mdx.support.setalias=true

#
# MDX flag for turning on/off the removeNonExistentTuples feature. This is an overriding 
# setting over all the ROLAP cubes. The same setting can be changed per cube and here is the 
# expected behaviour where T:true, F:false, N: not defined:
#
#	 ro.properties		cube model		result
#	T			T			T
#	T			F			F
#	T			N(T)			T
#	F			T			F
#	F			F			F
#	F			N(T)			F
#	N(F)			T			F	
#	N(F)			F			F	
#	N(F)			N(T)			F
#
# Basicaly, when  mdx.set.removeNonExistentTuples=true, we look at the cube setting.
# When mdx.set.removeNonExistentTuples=false, this feature is turned off regardless
# of the cube setting.
mdx.set.removeNonExistentTuples=true

#
# MDX Support for OLYMPIC rank with implicit sort
#
mdx.support.olympicRankSort=false

#
# Use Local OLAP (LOLAP) for functions
#
v5.useLOLAPForFunctions=true


#
# Null behavior of order function (TopCount, BottomCount) in the MDX engine. 
# Nulls treated like zero by default.
#
null.order.function=zero

#
# Null value position with sort function. This flag is associated with null.order.function. 
# null.order.function	null.position.order.function	behavior
# null		        first				null + first in the list
# null			last				null + last in the list
# null			stable_else_first               null + first in the list (stable here has no effect)
# null			stable_else_last                null + last in the list  (stable here has no effect)
# zero			first				for numeric NULL: it's the less than zero larger than smallest negative number. This is the standard MDX behavior.
# 							For non-numeric null: null + first in the list
# zero			last				for numeric NULL: it's the greater than zero smaller than smallest positve number.
#							For non-numeric null: null + last in the list
# zero                  stable_else_first       nulls are equal to zero and will turn in stable order when sorted against zero. For non-numeric null: null + first in the list
# zero                  stable_else_last       nulls are equal to zero and will turn in stable order when sorted against zero. For non-numeric null: null + last in the list

null.position.order.function=STABLE_ELSE_FIRST

#
# If true, ROLAP will push down the evaluation of the TopBottomCount expression to the relational database
#
pushdownTopBottomCountToRelational=true

#
# If true, ROLAP will push down the evaluation of the TopPercent/Sum expression to the relational database
#
pushdownTopPercentSumToRelational=true

#
# If true, ROLAP will push down the evaluation of the Filter expression to the relational database
#
pushdownFilterToRelational=true

#
# If true, ROLAP will push down the evaluation of calculations in filter pushdown to the relational database
#
pushdownCalculationsInFilterPushdownToRelational=false

#
# If true, the input set for the Topcount operator is filtered when pushdown is on
#
enableFilterSetInPushDownMode=false

#
# If true, the coalesce function is used for rank when pushdown is on.
#
enableCoalesceRankInPushDownMode=false

#
# If true, the coalesce function is used for filter when pushdown is on.
#
enableCoalesceFilterInPushDownMode=false

#
# If true, measures with firstPeriod/lastPeriod aggregates will be loaded into the cube.
#
enableFirstLastAggregateRulesMeasures=true

#
# Threshold 1: mdx.cjs.tupleToIndBitMap.threshold
# Threshold for the use of the temporary bit map tuples-to-indexes structure for 
# cross joined sets (cjs).
# This structure is used to save memory but it could slow down the execution.
# Threshold2: mdx.cjs.noTupleIndex.threshold
# Threshold for skipping the use of a tuples-to-indexes structure because the set is too
# big to index in memory
# Threshold 3: mdx.cjs.maxTupleMaterialization.threshold
# Multiplication factor used to determine whether a tuples-to-indexes structure
# that is optimized for many nested crossjoined sets (where iterating over the resulting
# tuples is expensive) should be used
#
# mdx.cjs.tupleToIndBitMap.threshold=25000
# mdx.cjs.maxTupleMaterialization.threshold=1000
mdx.cjs.noTupleIndex.threshold=1000000000000

#
# Threshold controlling if result set cell storage should be in memory or in stream.
# Set it to 0 to disable using in stream cell storage
#
mdx.cjs.maxCellsInMemory.threshold=1000000000000

#
# Specify whether or not the provider will be sub-queried for MUNs.
# This feature is not required for this datasource and thefore not supported.for it
#
queryProviderForMUNs=false


#
# This property controls how to handle the projection of nested levels of the same hierarchy.
# Specifically the use of the technique involving nested level decoration rules.
# In that case the planner queries only the lowest level members, later the post-processing queries the outer levels if required.
# - always: always use this technique
# - never: never use this technique
# - automatic: allow the planner to decide whether to use or not this technique.
#
applyNestedLevelDecorationRules=always

#
# Does the provider support caching of named sets between queries in the local MDX engine.
#
mdx.support.namedSetCaching=true
#
# When set to TRUE the named sets will be treated as context dependent.
#
mdx.support.namedSetDynamic=true