• Facets (new session)
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• Metadata
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  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-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: Jaql     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:WikicatQueryLanguages, within Data Space : dbpedia.org associated with source document(s)

Type: Thingcompanylanguageschema:LanguageLanguageComputer languageyago:Abstraction100002137yago:CommandLanguage106899446yago:Communication100033020yago:Language106282651programming languageyago:SourceLanguage106283912yago:WikicatQueryLanguages New Facet based on Instances of this Class

Jaql (pronounced "jackal") is a functional data processing and query language most commonly used for JSON query processing on big data. It started as an open source project at Google but the latest release was on 2010-07-12. IBM took it over as primary data processing language for their Hadoop software package BigInsights. Although having been developed for JSON it supports a variety of other data sources like CSV, TSV, XML. A comparison to other BigData query languages like PIG Latin and Hive QL illustrates performance and usability aspects of these technologies.