• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpfacetshttp://www.w3.org/2002/07/owl#ldpoffers ontologyoplwebrel-me-authschema-oloskos-transurn:det:rdf:labelurn:rdfs:subclass:subproperty:inference:rulesvirtrdf-eturtle-containersvirtrdf-hashtagvirtrdf-ifpvirtrdf-labelvirtrdf-meta-entity-classvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: PreparedStatementPoolingsupport     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : oplprod:ProductCategoryFeature, within Data Space : openlinksw.com associated with source document(s)

Type: Product Category Feature New Facet based on Instances of this Class

A prepared statement allows you to take a commonly used SQL statement and pre-compile it, thereby dramatically improving performance if the statement is executed multiple times. If your applications has many queries that are reused with only parametic changes occuring, then it is beneficial to pool this statements and retain control over their life span. JDBC 3.0 delivers as solution to this need via Prepared Statement Pooling, which enables the life span of a prepared statement to be handled at the driver level thereby alleviating the JDBC application or service developer of this responsibility.