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a query set against a given SPARQL endpoint","maintainers":[{"name":"rubensworks","email":"rubensworks@gmail.com"}],"readme":"# SPARQL Benchmark Runner\n\n[![Build](https://github.com/comunica/sparql-benchmark-runner.js/workflows/CI/badge.svg)](https://github.com/comunica/sparql-benchmark-runner.js/actions?query=workflow%3ACI)\n[![Coverage](https://coveralls.io/repos/github/comunica/sparql-benchmark-runner.js/badge.svg?branch=master)](https://coveralls.io/github/comunica/sparql-benchmark-runner.js?branch=master)\n[![NPM](https://badge.fury.io/js/sparql-benchmark-runner.svg)](https://www.npmjs.com/package/sparql-benchmark-runner)\n[![Docker](https://img.shields.io/docker/automated/comunica/sparql-benchmark-runner.svg)](https://hub.docker.com/r/comunica/sparql-benchmark-runner/)\n\nThis is a simple tool to run a query set against a given SPARQL endpoint, and measure its execution time.\n\nConcretely, the query set is a directory containing any number of files,\nwhere each file contains a number of SPARQL queries seperated by empty lines.\n\nExample directory of a query set:\n```text\nwatdiv-10M/\n  C1.txt\n  C2.txt\n  C3.txt\n  F1.txt\n  ...\n```\n\nExample contents of `C1.txt`:\n```sparql\nSELECT * WHERE {\n  ?v0 <http://schema.org/caption> ?v1 .\n  ?v0 <http://schema.org/text> ?v2 .\n}\n\nSELECT * WHERE {\n  ?v0 <http://schema.org/caption> ?v1 .\n  ?v0 <http://schema.org/text> ?v2 .\n}\n\nSELECT * WHERE {\n  ?v0 <http://schema.org/caption> ?v1 .\n  ?v0 <http://schema.org/text> ?v2 .\n}\n```\n\nBy default, it generates CSV output in a form similar to:\n```csv\nname;id;error;errorDescription;failures;hash;replication;results;resultsMax;resultsMin;time;timeMax;timeMin;times;timestamps;timestampsMax;timestampsMin;timestampsStd;timeStd;timestampsAll\nC1;0;false;;0;6e0f167d2eb0e61af0673275ee8f935f;5;5;5;5;25.8;33;20;28 33 26 22 20;25.4 25.4 25.4 25.4 25.4;32 32 32 32 32;20 20 20 20 20;4.176122603564219 4.176122603564219 4.176122603564219 4.176122603564219 4.176122603564219;4.578209256903839;\"[[32, 32, 32, 32, 32],[20, 20, 20, 20, 20], [21, 21, 21, 21, 21], [30, 30, 30, 30, 30], [26, 26, 26, 26, 26]]\"\nC1;1;false;;0;3e279701df97583c2f296ac0c2e5b877;5;5;5;5;38.6;90;20;27 28 28 20 90;38.4 38.4 38.6 38.6 38.6;89 89 90 90 90;20 20 20 20 20;25.476263462289754 25.476263462289754 25.873538606073968 25.873538606073968 25.873538606073968;25.873538606073968;\"[[38.4, 38.4, 38.6, 38.6, 38.6],[50, 50, 51, 52, 53.3], [20, 20, 20, 20, 20], [89, 89, 90, 90, 90], [66, 76, 76, 76, 77]]\"\nC1;2;false;;0;4783aeaa4ce9950eafd3a623e1a537f6;5;5;5;5;35.8;80;20;28 26 80 20 25;35.8 35.8 35.8 35.8 35.8;80 80 80 80 80;20 20 20 20 20;22.25668438918969 22.25668438918969 22.25668438918969 22.25668438918969 22.25668438918969;22.25668438918969;\"[[35.4, 35.4, 35.6, 35.6, 35.6],[50, 50, 51, 52, 53.3], [20, 20, 20, 20, 20], [80, 80, 80, 80, 80], [66, 76, 76, 76, 77]]\"\n```\n\n## Installation\n\n```bash\nnpm install sparql-benchmark-runner\n```\n\n## Usage\n\n### Command Line Interface (CLI)\n\n`sparql-benchmark-runner` can be used from the CLI with the the following options.\n\n```\nOptions:\n  --version      Show version number                                   [boolean]\n  --endpoint     URL of the SPARQL endpoint to send queries to\n                                                             [string] [required]\n  --queries      Directory of the queries                    [string] [required]\n  --replication  Number of replication runs                [number] [default: 5]\n  --warmup       Number of warmup runs                     [number] [default: 1]\n  --output       Destination for the output CSV file\n                                               [string] [default: \"./output.csv\"]\n  --outputRaw    Destination for the raw JSON output file                 [string]\n  --metadata     Load query metadata files (*.metadata.json) and enable\n                 sequence aggregation                   [boolean] [default: false]\n  --invalidateCacheAfterQuerySet  Send a cache invalidation request after each query set\n                 execution                              [boolean] [default: false]\n  --timeout      Timeout value in seconds to use for individual queries [number]\n  ----help\n```\nAn example input is the following.\n\n```bash\nsparql-benchmark-runner \\\n  --endpoint http://example.org/sparql \\\n  --queries ./watdiv-10M/ \\\n  --output ./output.csv \\\n  --replication 5 \\\n  --warmup 1\n```\n\n### As a JavaScript Library\n\nWhen used as a JavaScript library, the runner can be configured with different query loaders,\nresult aggregators and result serializers to accommodate special use cases.\nBy default, when no specific result aggregator is provided,\nthe runner uses `ResultAggregatorComunica` that handles basic aggregation,\nas well as the `httpRequests` metadata field from a Comunica SPARQL endpoint, if such metadata is provided.\nMetadata-based sequence aggregation is optional and can be enabled by passing\nquery metadata to the runner together with `ResultAggregatorComunicaQuerySequence`.\n\n```javascript\nimport {\n  SparqlBenchmarkRunner,\n  ResultSerializerCsv,\n  ResultAggregatorComunica,\n  QueryLoaderFile,\n} from 'sparql-benchmark-runner';\n\nasync function executeQueries(pathToQueries, pathToOutputCsv) {\n  const queryLoader = new QueryLoaderFile(pathToQueries);\n  const resultSerializer = new ResultSerializerCsv();\n  const resultAggregator = new ResultAggregatorComunica();\n\n  const querySets = await queryLoader.loadQueries();\n\n  const runner = new SparqlBenchmarkRunner({\n    endpoint: 'https://localhost:8080/sparql',\n    querySets,\n    replication: 4,\n    warmup: 1,\n    timeout: 60_000,\n    availabilityCheckTimeout: 1_000,\n    logger: (message) => console.log(message),\n    resultAggregator,\n  });\n\n  const results = await runner.run();\n\n  await resultSerializer.serialize(pathToOutputCsv, results.aggregateResults);\n}\n```\n\n### Sequence Metadata\n\nTo enable sequence metadata from the CLI, add `--metadata`. Raw JSON output is\nonly written when `--outputRaw` is provided, or automatically to\n`./output-raw.json` when `--metadata` is enabled. Cache invalidation requests are\ndisabled by default and can be enabled with `--invalidateCacheAfterQuerySet`.\n\nAn example metadata file for a two-query sequence is structured as follows:\n\n```json\n{\n  \"user\": {\n    \"user\": \"http://solidbench-server:3000/pods/00000000000000000933/profile/card#me\",\n    \"transitionProbability\": 0.09954255358650524\n  },\n  \"sequenceElements\": [\n    {\n      \"session\": {\n        \"task\": \"Messages\",\n        \"sessionLength\": 5,\n        \"sessionId\": 0\n      },\n      \"template\": \"interactive-short-6\",\n      \"nOpenSessions\": 1\n    },\n    {\n      \"session\": {\n        \"task\": \"Messages\",\n        \"sessionLength\": 3,\n        \"sessionId\": 1\n      },\n      \"template\": \"interactive-discover-2\",\n      \"nOpenSessions\": 2\n    }\n  ]\n}\n```\n\nHere, the `\"user\"` field provides sequence-level metadata, while `\"sequenceElements\"` contains metadata for individual queries within that sequence.\n\nIf the `--outputRaw` flag is enabled, the runner appends this metadata to the raw data output. Based on the previous example, the resulting output is structured as follows:\n\n```json\n[\n  {\n    \"name\": \"<querySequenceName>\",\n    \"id\": \"0\",\n    \"hash\": \"d41d8cd98f00b204e9800998ecf8427e\",\n    \"results\": 0,\n    \"time\": 3400,\n    \"timestamps\": [],\n    \"httpRequests\": 2579,\n    \"user\": {\n      \"user\": \"http://solidbench-server:3000/pods/00000000000000000933/profile/card#me\",\n      \"transitionProbability\": 0.09954255358650524\n    },\n    \"sequenceElement\": {\n      \"session\": {\n        \"task\": \"Messages\",\n        \"sessionLength\": 5,\n        \"sessionId\": 0\n      },\n      \"template\": \"interactive-short-6\",\n      \"nOpenSessions\": 1\n    }\n  },\n  {\n    \"name\": \"<querySequenceName>\",\n    \"id\": \"1\",\n    \"hash\": \"8493b4f999ae7bae8fd62f6d7734e0ac\",\n    \"results\": 0,\n    \"time\": 43888,\n    \"timestamps\": [\n      300, 3500, 40000\n    ],\n    \"httpRequests\": 2579,\n    \"user\": {\n      \"user\": \"http://solidbench-server:3000/pods/00000000000000000933/profile/card#me\",\n      \"transitionProbability\": 0.09954255358650524\n    },\n    \"sequenceElement\": {\n      \"session\": {\n        \"task\": \"Messages\",\n        \"sessionLength\": 3,\n        \"sessionId\": 1\n      },\n      \"template\": \"interactive-discover-2\",\n      \"nOpenSessions\": 2\n    }\n  }\n]\n```\n\n## Docker\n\nThis tool is also available as a Docker image:\n\n```bash\ntouch output.csv\ndocker run \\\n  --rm \\\n  --interactive \\\n  --tty \\\n  --volume $(pwd)/output.csv:/output.csv \\\n  --volume $(pwd)/queries:/queries \\\n  comunica/sparql-benchmark-runner \\\n  --endpoint https://dbpedia.org/sparql \\\n  --queries /queries \\\n  --output /output.csv \\\n  --replication 5 \\\n  --warmup 1\n```\n\n## License\n\nThis code is copyrighted by [Ghent University – imec](http://idlab.ugent.be/)\nand released under the [MIT license](http://opensource.org/licenses/MIT).\n","readmeFilename":"README.md"}