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is a modern open source language for describing data relationships and transformations. It is both a semantic modeling language and a querying language that runs queries against a relational database. Malloy currently connects to BigQuery and Postg","maintainers":[{"name":"malloy-lang-user","email":"bporterfield@google.com"},{"name":"gmaden","email":"maden@google.com"},{"name":"scullin","email":"scullin@scullinsteel.com"},{"name":"mtoy","email":"mtoy@malloydata.org"},{"name":"ben-malloy","email":"ben@malloydata.org"}],"readme":"# Malloy\n\nMalloy is a modern open source language for describing data relationships and transformations. It is both a semantic modeling language and a querying language that runs queries against a relational database. Malloy currently connects to BigQuery and Postgres, and natively supports DuckDB. We've built a Visual Studio Code extension to facilitate building Malloy data models, querying and transforming data, and creating simple visualizations and dashboards.\n\n## Building applications or products in javascript with @malloydata/malloy\n\nThis package facilitates building the Malloy language - or the usage of data models or queries written in the Malloy language - into your product, data application, or website. The `@malloydata/malloy` library translates complex data operations written in the Malloy language into 1) SQL and 2) metadata. The SQL can be run against a database, and then combined with results and rendered or used in a varitey of ways.\n\n## Show me an example!\n\n```\nconst malloy = require(\"@malloydata/malloy\")\nconst bigquery = require(\"@malloydata/db-bigquery\")\n\nconst connection = new bigquery.BigQueryConnection(\"bigquery\");\nconst runtime = new malloy.SingleConnectionRuntime(connection);\nconst model = runtime.loadModel(\"source: airports is bigquery.table('malloytest.airports')\")\nconst runner = model.loadQuery(\"run: airports->{aggregate: airport_count is count()}\")\nrunner.run().then((result) => {\n    console.log(result.data.value) // [ { airport_count: 19793 } ]\n})\n```\n\nNote: These APIs are still in beta and subject to change.\n\n## What's actually going on here?\n\nThe `@malloydata/malloy` is basically a compiler that takes a few things as input - 1. Some text that defines a Malloy data model 2. Some text that defines a Malloy query and 3. Some schema information about the table(s) the query might run against. The compiler works by attempting to compile the data model, and stopping compilation when it needs to ask for things it requires to continue compilation. This \"loop\" is then re-initiated when you provide the compiler with the additional information, until a point when the compiler has all the information it needs to compile a Malloy query based on a data model.\n\nIn practice, much of this loop is handled by various database plugins:\n\n- [DuckDB](https://github.com/malloydata/malloy/tree/main/packages/malloy-db-duckdb)\n- [BigQuery](https://github.com/malloydata/malloy/tree/main/packages/malloy-db-bigquery)\n- [Postgres](https://github.com/malloydata/malloy/tree/main/packages/malloy-db-postgres)\n- [Snowflake](https://github.com/malloydata/malloy/tree/main/packages/malloy-db-snowflake)\n\n## What's built with these libraries?\n\nThe [Malloy CLI](https://github.com/malloydata/malloy-cli) uses them to run Malloy queries from the command line.\n\nFor a more complex use case, our [VS Code extension](https://github.com/malloydata/malloy-vscode-extension) uses them to power a full Malloy editing and query experience.\n","readmeFilename":"README.md"}