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Verborgh","email":"ruben.verborgh@gmail.com"},"license":"LGPL-3.0","homepage":"https://github.com/RubenVerborgh/HDT-Node#readme","keywords":["turtle","rdf","hdt","triples","linkeddata","semanticweb"],"repository":{"type":"git","url":"git+https://github.com/RubenVerborgh/HDT-Node.git"},"description":"Native bindings to access HDT compressed triple files.","maintainers":[{"name":"rubenverborgh","email":"ruben@verborgh.org"},{"name":"rubensworks","email":"rubensworks@gmail.com"}],"readme":"# HDT for Node.js\n[![npm version](https://badge.fury.io/js/hdt.svg)](https://www.npmjs.com/package/hdt)\n[![Build status](https://github.com/LinkedDataFragments/HDT-Node/workflows/CI/badge.svg)](https://github.com/LinkedDataFragments/HDT-Node/actions?query=workflow%3ACI)\n[![Dependency Status](https://david-dm.org/RubenVerborgh/HDT-Node.svg)](https://david-dm.org/RubenVerborgh/HDT-Node)\n[![devDependency Status](https://david-dm.org/RubenVerborgh/HDT-Node/dev-status.svg)](https://david-dm.org/RubenVerborgh/HDT-Node#info=devDependencies)\n\n[HDT (Header Dictionary Triples)](http://www.rdfhdt.org/) is a compressed format\nfor [RDF triples](http://www.w3.org/TR/2014/REC-rdf11-concepts-20140225/#data-model).\n<br>\nThe `hdt` npm package for Node.js brings fast access to HDT files through C bindings.\n\n\n## Usage\n\n### Importing the library\nInstall the library by adding `hdt` to your `package.json` or executing\n\n```bash\n$ npm install hdt\n```\n\nThen require the library.\n\n```JavaScript\nconst hdt = require('hdt');\n```\n\n### Opening and closing an HDT document\nOpen an HDT document with `hdt.fromFile`,\nwhich takes a filename as argument and returns the HDT document in a promise.\nClose the document with `close`.\n\n```JavaScript\nhdt.fromFile('./test/test.hdt').then(function(hdtDocument) {\n  // Don't forget to close the document when you're done\n  return hdtDocument.close();\n});\n```\n\n### Searching for triples matching a pattern\nSearch for triples with `search`,\nwhich takes subject, predicate, object, and options arguments.\nSubject, predicate, and object can be IRIs or literals,\n[represented as simple strings](https://github.com/RubenVerborgh/N3.js#triple-representation).\nIf any of these parameters is `null` or a variable, it is considered a wildcard.\nOptionally, an offset and limit can be passed in an options object,\nselecting only the specified subset.\n\nThe promise returns an object with an array of triples, the total number of expected triples for the pattern,\nand whether the total count is an estimate or exact.\n\n```JavaScript\nvar doc;\nhdt.fromFile('./test/test.hdt')\n  .then(function(hdtDocument) {\n    doc = hdtDocument;\n    return doc.searchTriples('http://example.org/s1', null, null, { offset: 0, limit: 10 })\n  })\n  .then(function(result) {\n    console.log('Approximately ' + result.totalCount + ' triples match the pattern.');\n    result.triples.forEach(function (triple) { console.log(triple); });\n    return doc.close();\n  });\n```\n\n### Counting triples matching a pattern\nRetrieve an estimate of the total number of triples matching a pattern with `count`,\nwhich takes subject, predicate, and object arguments.\n\n```JavaScript\nvar doc;\nhdt.fromFile('./test/test.hdt')\n  .then(function(hdtDocument) {\n    doc = hdtDocument;\n    return doc.countTriples('http://example.org/s1', null, null);\n  })\n  .then(function(result) {\n    console.log('Approximately ' + result.totalCount + ' triples match the pattern.');\n    return doc.close()\n  });\n```\n\n### Searching for bindings matching a pattern\nSearch for [bindings](https://rdf.js.org/query-spec/#bindings-interface) with `searchBindings`,\nwhich takes [bindingsFactory](https://rdf.js.org/query-spec/#bindingsfactory-interface), subject, predicate, object, and options arguments.\nSubject, predicate, and object can be IRIs, literals, or variables,\n[represented as RDF/JS terms](https://rdf.js.org/data-model-spec/#term-interface).\nIf any of these parameters is a variable, it is considered a wildcard.\nOptionally, an offset and limit can be passed in an options object,\nselecting only the specified subset.\n\nThe promise returns an object with an array of bindings, the total number of expected bindings for the pattern,\nand whether the total count is an estimate or exact.\n\nIf variables are reused across terms, this library will make sure to only return bindings when matches for those variables are equal.\n\n```JavaScript\nconst DF = new (require('rdf-data-factory').DataFactory)();\nconst BF = new (require('@comunica/utils-bindings-factory').BindingsFactory)(DF);\n\nvar doc;\nhdt.fromFile('./test/test.hdt')\n  .then(function(hdtDocument) {\n    doc = hdtDocument;\n    return doc.searchBindings(DF.namedNode('http://example.org/s1'), DF.variable('p'), DF.variable('o'), { offset: 0, limit: 10 })\n  })\n  .then(function(result) {\n    console.log('Approximately ' + result.totalCount + ' bindings match the pattern.');\n    result.bindings.forEach(function (binding) { console.log(binding.toString()); });\n    return doc.close();\n  });\n```\n\n### Search terms starting with a prefix\nFind terms (literals and IRIs) that start with a given prefix.\n\n```JavaScript\nhdtDocument.searchTerms({ prefix: 'http://example.org/', limit: 100, position: 'object' })\n  .then(function(suggestions) {\n    console.log('Found ' + suggestions.length + ' suggestions');\n    return hdtDocument.close();\n  });\n```\n\n### Fetching unique predicates for a subject and/or an object\n\nFind all unique predicates for a given subject argument.\n\n```JavaScript\nhdtDocument.searchTerms({ subject: 'http://example.org/s1' limit: 10, position: 'predicate' })\n  .then(function(terms) {\n    console.log('Found ' + terms.length + ' unique predicates');\n    return hdtDocument.close();\n  });\n```\n\nFind all unique predicates for a given object argument.\n\n```JavaScript\nhdtDocument.searchTerms({ object: 'http://example.org/o1', limit: 10, position: 'predicate' })\n  .then(function(terms) {\n    console.log('Found ' + terms.length + ' unique predicates');\n    return hdtDocument.close();\n  });\n```\n\nFind all unique predicates for given subject and object arguments.\n\n```JavaScript\nhdtDocument.searchTerms({ subject: 'http://example.org/s1', object: 'http://example.org/o1', limit: 10, position: 'predicate' })\n  .then(function(terms) {\n    console.log('Found ' + terms.length + ' unique predicates');\n    return hdtDocument.close();\n  });\n```\n\n### Searching literals containing a substring\nIn an HDT file that was [generated with an FM index](https://github.com/LinkedDataFragments/hdt-cpp/blob/master/hdt-lib/presets/fmindex.hdtcfg),\nyou can search for literals that contain a certain substring.\n\n```JavaScript\nvar doc;\nhdt.fromFile('./test/test.hdt')\n  .then(function(hdtDocument) {\n    doc = hdtDocument;\n    return doc.searchLiterals('b', { offset: 0, limit: 5 });\n  })\n  .then(function(result) {\n    console.log('Approximately ' + result.totalCount + ' literals contain the pattern.');\n    result.literals.forEach(function (literal) { console.log(literal); });\n    return doc.close();\n  });\n```\n\n### Reading the header\nHDT supports reading the header as string using `document.readHeader()`.\nThe example below reads the header as string, and parses the header using the [N3.js](https://github.com/RubenVerborgh/N3.js/) library.\n\n```JavaScript\nvar N3 = require('n3');\nvar doc;\nvar parser = N3.Parser();\nhdt.fromFile('./test/test.hdt')\n  .then(function(hdtDocument) {\n    doc = hdtDocument;\n    return doc.readHeader();\n  })\n  .then(function(header) {\n    var triples = [];\n    return new Promise(function(resolve, reject) {\n      parser.parse(header, function(error, triple) {\n        if (error) return reject(error);\n        if (triple) return triples.push(triple);\n        resolve(triples);\n      });\n    });\n  })\n  .then(function(triples) {\n    console.log('Read triples from header:\\n', triples);\n  })\n  .catch(function(e) {\n    console.error(e);\n  })\n```\n### Changing the header\nTo replace header information of an HDT, use `document.changeHeader(header, toFile)`, that returns an HDT document of the output file.\nThe example below serializes an [N3](https://github.com/RubenVerborgh/N3.js/) triples object into an N-Triples string, and stores it in the header.\n\n```JavaScript\nvar N3 = require('n3');\nvar doc;\nvar outputFile = './out.hdt';\n\nhdt.fromFile('./test/test.hdt')\n .then(function(hdtDocument) {\n   doc = hdtDocument;\n   return new Promise(function(resolve, reject) {\n     var writer = N3.Writer({format: 'N-Triples'});\n     writer.addTriple('http://example.org/cartoons#Tom',\n                      'http://www.w3.org/1999/02/22-rdf-syntax-ns#type',\n                      'http://example.org/cartoons#Cat');\n     writer.end(function(error, triples) {\n       if (error) return reject(error);\n       resolve(triples);\n     });\n   });\n })\n .then(function(triples) {\n      return doc.changeHeader(triples, outputFile);\n  })\n  .then(function(createdDocument) {\n    return createdDocument.readHeader();\n  })\n  .then(function(result) {\n    console.log('Wrote ' + result + ' to ' + outputFile);\n  })\n  .catch(function(e) {\n    console.error(e);\n  });\n```\n\n## Standalone utility\nThe standalone utility `hdt` allows you to query HDT files from the command line.\n<br>\nTo install system-wide, execute:\n```bash\nsudo npm install -g hdt\n```\n\nSpecify queries as follows:\n```\nhdt dataset.hdt --query '?s ?p ?o' --offset 200 --limit 100 --format turtle\n```\nReplace any of the query variables by an [IRI or literal](https://github.com/RubenVerborgh/N3.js#triple-representation) to match specific patterns.\n\n## Build manually\nTo build the module from source, follow these instructions:\n```Shell\ngit clone https://github.com/RubenVerborgh/HDT-Node.git hdt\ncd hdt\ngit submodule init\ngit submodule update\nnpm install\nnpm test\n```\n\nIf you make changes to the source, do the following to rebuild:\n```bash\nnode-gyp build && npm test\n```\n\n\n## License\n\nThe Node.js bindings for HDT are written by [Ruben Verborgh](http://ruben.verborgh.org).\n\nThis code is copyrighted by Ruben Verborgh and released under the [GNU Lesser General Public License](http://opensource.org/licenses/LGPL-3.0).\nIt uses the [HDT C++ Library](https://github.com/rdfhdt/hdt-cpp), released under the same license.\n","readmeFilename":"README.md","users":{"ali1k":true}}