64 lines
2.7 KiB
Prolog
64 lines
2.7 KiB
Prolog
:- assert(
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optimizerOptionInfo(correlations, none, yes,
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'Derive joint probabilities for selection predicates before computing a best plan',
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( delOption(intOrders(on)),
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delOption(intOrders(quick)),
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delOption(intOrders(path)),
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delOption(intOrders(test)),
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loadFiles(correlations)
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),
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( delOption(joinCorrelations), delOption(joinCorrelations2) ) )).
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% Recompute selectivities and cardinalities in the POG using the principle of entropy maximization. In contrast to the entropy option don't run an initial query on the small database'
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:- assert(
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optimizerOptionInfo(joinCorrelations, correlations, no,
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'Additionally derive joint probabilities after using join predicates to join two relations (using product-filter)',
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( setOption(correlations), delOption(joinCorrelations2)), true)).
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:- assert(
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optimizerOptionInfo(joinCorrelations2, correlations, no,
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'The same behavior as joinCorrelations but use another way to join relations if a useable join predicate exists',
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( setOption(correlations), delOption(joinCorrelations) ), true)).
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:- assert(
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optimizerOptionInfo(adaptiveJoin, none, yes,
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'Allow usage of adaptive join operators.',
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( delOption(entropy),
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delOption(intOrders(on)),
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delOption(intOrders(quick)),
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delOption(intOrders(path)),
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delOption(intOrders(test)),
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loadFiles(adaptiveJoin)
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),
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true )).
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:- assert(
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optimizerOptionInfo(entropy, none, yes,
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'Use entropy maximization together with an exploration query on a small sample database',
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( delOption(intOrders(on)),
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delOption(intOrders(quick)),
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delOption(intOrders(path)),
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delOption(intOrders(test)),
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delOption(immediatePlan),
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loadFiles(entropy),
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( notIsDatabaseOpen
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% ; ensureSmallObjectsExist
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; true
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)
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),
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true )).
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% Compute joint probabilities along the chosen path of the POG, maximize entropy to estimate selectivities again and compute a new best plan with the revised POG.'
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:- assert(
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optimizerOptionInfo(rewriteNonempty, rewriteInference, no,
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'Handle \'nonempty\' in select statements.',
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true, true)).
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