Package com.metamatrix.query.optimizer.relational.rules

Class Summary

CapabilitiesUtil
CriteriaCapabilityValidatorVisitor
FrameUtil
JoinUtil	Utility methods for query planning related to joins.
NewCalculateCostUtil
RuleAccessPatternValidation	Validates that the access pattern(s) of a source are satisfied.
RuleAssignOutputElements	This rule is responsible for assigning the output elements to every node in the plan.
RuleCalculateCost
RuleChooseDependent	Finds nodes that can be turned into dependent joins
RuleChooseJoinStrategy	Marks join as a candidate merge join if conditions are met
RuleCleanCriteria	Removes phantom and TRUE or FALSE criteria
RuleCollapseSource
RuleConstants
RuleCopyCriteria	For each join node this rule will find the set of criteria allowed to influence the join (the join criteria, and inner side criteria on non full outer joins) and builds new criteria based upon the equality relationships found.
RuleImplementJoinStrategy	Inserts sort nodes for specific join strategies.
RuleMergeCriteria
RuleMergeVirtual
RulePlaceAccess	This rule finds all SOURCE nodes and associates ACCESS patterns, ACCESS nodes, and aliases.
RulePlanJoins	Determines join orderings based upon dependency and cost information The algorithm works as follows: Stage 1.
RulePlanProcedures
RulePlanSorts	Attempts to minimize the cost of sorting operations across the plan.
RulePlanUnions	Organizes union branches so that push down is possible.
RulePushAggregates
RulePushLimit	Pushes limit nodes to their lowest points.
RulePushNonJoinCriteria	Pushes on criteria out of the on clause if possible.
RulePushSelectCriteria
RuleRaiseAccess
RuleRaiseNull	Will attempt to raise null nodes to their highest points
RuleRemoveOptionalJoins	Removes optional join nodes if elements originating from that join are not used in the top level project symbols.
RuleRemoveSorts	Removes all nested sorts that are not under a limit.
RuleValidateWhereAll	Validates that the any atomic query being sent to a model where the model requires a criteria actually has a criteria.