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@jbr-experiment/ldbc-snb-decentralized

v1.0.2

Published

LDBC SNB Decentralized experiment handler for JBR

Downloads

18

Readme

JBR Experiment - LDBC SNB Decentralized

Build status Coverage Status npm version

A jbr experiment type for the decentralized LDBC SNB social network benchmark.

Requirements

Quick start

1. Install jbr

jbr is a command line tool that enables experiments to be initialized, prepared, and started. It can be installed from the npm registry:

$ npm install -g jbr

or

$ yarn global add jbr

2. Initialize a new experiment

Using the jbr CLI tool, initialize a new experiment:

$ jbr init ldbc-snb-decentralized my-experiment
$ cd my-experiment

This will create a new my-experiment directory with default configs for this experiment type.

3. Configure the required hooks

This experiment type requires you to configure a certain SPARQL endpoint to send queries to for the hookSparqlEndpoint. A value for this hook can be set as follows, such as sparql-endpoint-comunica:

$ jbr set-hook hookSparqlEndpoint sparql-endpoint-comunica

4. Prepare the experiment

In order to run all preprocessing steps, such as creating all required datasets, invoke the prepare step:

$ jbr prepare

All prepared files will be contained in the generated/ directory.

5. Run the experiment

Once the experiment has been fully configured and prepared, you can run it:

$ jbr run

Once the run step completes, results will be present in the output/ directory.

Output

The following output is generated after an experiment has run.

output/query-times.csv:

name;id;results;time;timestamps
interactive-short-4;0;0;7;
interactive-short-4;1;0;5;
interactive-short-4;2;0;6;
interactive-short-4;3;0;3;
interactive-short-4;4;0;3;
interactive-short-5;0;0;0;
interactive-short-5;1;0;0;
interactive-short-5;2;0;0;
interactive-short-5;3;0;0;
interactive-short-5;4;0;0;

output/stats-server.csv: Per second of the experiment: CPU percentage, memory usage (bytes), memory percentage, received bytes, transmitted bytes.

cpu_percentage,memory,memory_percentage,received,transmitted
9.915362228116711,10489856,0.5024267940030527,488,0
9.863725050505051,17354752,0.8312308965993495,648,0
9.64850952141058,19116032,0.915589944401502,738,0
9.345685076142132,23072768,1.105103526208198,738,0
10.029959365079364,26759168,1.2816689750964243,738,0
10.25411566137566,30363648,1.45431074734269,738,0

output/logs/server.txt: Logs of the Solid Community Server.

Configuration

The default generated configuration file (jbr-experiment.json) for this experiment looks as follows:

{
  "@context": [
    "https://linkedsoftwaredependencies.org/bundles/npm/jbr/^1.0.0/components/context.jsonld",
    "https://linkedsoftwaredependencies.org/bundles/npm/@jbr-experiment/ldbc-snb-decentralized/^1.0.0/components/context.jsonld"
  ],
  "@id": "urn:jrb:my-experiment",
  "@type": "ExperimentLdbcSnbDecentralized",
  "scale": "0.1",
  "configGenerateAux": "input/config-enhancer.json",
  "configFragment": "input/config-fragmenter.json",
  "configFragmentAux": "input/config-fragmenter-auxiliary.json",
  "configQueries": "input/config-queries.json",
  "configServer": "input/config-server.json",
  "directoryQueryTemplates": "input/templates/queries",
  "overwriteFilesDuringPrepare": false,
  "hadoopMemory": "4G",
  "dockerfileServer": "input/dockerfiles/Dockerfile-server",
  "serverPort": 3000,
  "serverLogLevel": "info",
  "serverResourceConstraints": {
    "@type": "DockerResourceConstraints",
    "cpu_percentage": 10
  },
  "endpointUrl": "http://localhost:3001/sparql",
  "queryRunnerReplication": 3,
  "queryRunnerWarmupRounds": 1,
  "queryRunnerRecordTimestamps": true,
  "hookSparqlEndpoint": {
    "@id": "urn:jrb:cc:hookSparqlEndpoint",
    "@type": "HookNonConfigured"
  }
}

Any config changes require re-running the prepare step.

More background information on these config options can be found in the README of the decentralized LDBC SNB social network benchmark.

Configuration fields

License

jbr.js is written by Ruben Taelman.

This code is copyrighted by Ghent University – imec and released under the MIT license.