npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@logilab/gatsby-plugin-elasticsearch

v0.1.5

Published

A gatsby plugin to push to ElasticSearch based on a certain query

Downloads

114

Readme

Gatsby plugin ElasticSearch

This plugin is mostly inspired by gatsby-plugin-algolia

You can specify a list of queries to run and how to transform them into an array of objects to index. When you run gatsby build, it will publish those to your Elasticsearch node.

Here we have an example with some data that might not be very relevant, but will work with the default configuration of gatsby new

$ yarn add gatsby-plugin-elasticsearch

Just pass a plain graphql query to fetch nodes, each one will create a document:

// gatsby-config.js

const myQuery = `{
  allSitePage {
    edges {
      node {
        path
        internal {
          type
          contentDigest
          owner
        }
      }
    }
  }
}`;

const queries = [
  {
    query: myQuery,
    transformer: ({ data }) => data.allSitePage.edges.map(({ node }) => node), // optional
    indexName: 'pages', //
    indexConfig: {
      // optional, any index settings or mappings
      mappings,
      settings,
    },
  },
];

module.exports = {
  plugins: [
    {
      resolve: `gatsby-plugin-elasticsearch`,
      options: {
        node: 'http://localhost:9200',
        apiKey: process.env.ES_API_KEY, // optional
        queries,
        chunkSize: 10000, // default: 1000
      },
    },
  ],
};

The queries field also accepts a function which takes graphql as argument and should be async. It has to return an array of queries.

This let you create a query factory to get dynamic queries based on your existing data:

// gatsby-config.js

const pathsQuery = `{
  allSitePage {
    edges {
      node {
        path
      }
    }
  }
}`;

function queryFormatter(min, max) {
  return `
    allSitePage(
      filter: {
        path: {regex: "/^.{${min},${max}}$/"}
      }
    ) {
      edges {
        node {
          path
          internal {
            type
            contentDigest
            owner
          }
        }
      }
    }
  `;
}

// Your queryFactory gets graphql as argument
async function myQueryFactory(graphql) => {
  const paths = await graphql(pathsQuery).data.allSitePage.map(({ node }) => node.path);

  const maxLength = Math.max.apply(Math, paths.map(function(p) { return p.length; }))
  const middleLength = Integer(maxLength/2);

  const categories = [
    {
      name: 'short_path',
      query: queryFormatter(0, middleLength),
    },
    {
      name: 'long_paths',
      query: queryFormatter(middleLength+1, max_length);
    }
  ];

  return categories.map(category => ({
    query: category.query, // dynamic query
    transformer: ({ data }) => data.allSitePage.edges.map(({ node }) => node), // optional
    indexName: category.name, // dynamic index
    indexConfig: {
      // optional, any index settings or mappings
      mappings,
      settings,
    },
  }));
}

module.exports = {
  plugins: [
    {
      resolve: `gatsby-plugin-elasticsearch`,
      options: {
        node: 'http://localhost:9200',
        apiKey: process.env.ES_API_KEY, // optional
        queries: myQueryFactory,
        chunkSize: 10000, // default: 1000
      },
    },
  ],
};

The transformer field accepts a function and optionally you may provide an async function.

The index will be synchronised with the provided index name on your Elasticsearch node on the build step in Gatsby.

Feedback

Feel free to open issues or PR to improve it!