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[DuckDB SQL Tools](https://marketplace.visualstudio.com/items?itemName=RandomFractalsInc.duckdb-sql-tools) extension enables using [DuckDB](https://duckdb.org/) in [VSCode](https://code.visualstudio.com/) IDE with the popular [SQLTools](https://vscode-sqltools.mteixeira.dev/en/home/) VSCode extension and SQL query editing and processing tools.
Users of [VSCodium](https://vscodium.com/) and other VSCode-based IDEs can install DuckDB SQL Tools extension using `.vsix` extension package attached to the Assets section in published [releases](https://github.com/RandomFractals/duckdb-sql-tools/releases) of this extension on Github. Follow [install from .vsix](https://code.visualstudio.com/docs/editor/extension-marketplace#_install-from-a-vsix) instructions in your VSCode extensions compatible IDE or online container service to install it.
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DuckDB SQL Tools VSCode extension installs and loads [HTTPFS](https://duckdb.org/docs/extensions/httpfs) DuckDB extension by default for all the open DuckDB instances. You can add other [DuckDB Extensions](https://duckdb.org/docs/extensions/overview) to an open database instance by using [`INSTALL` and `LOAD`](https://duckdb.org/docs/extensions/overview#remote-installation) extension SQL statements.
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Bellow is an example of loading reported Chicago crimes data into in-memory DuckDB instance from a `.parquet` data file hosted in our [Chicago Crimes](https://github.com/RandomFractals/chicago-crimes) data and analytical tools demo Github repository. This example uses implicitly loaded DuckDB HTTPFS extension to query reported Chicago crimes parquet data file with over 210K recorded crime reports, creates a `CrimeReports` table in DuckDB `:memory:` instance from loaded parquet data results, and queries imported data:
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DuckDB SQL Tools extension github repository contains sample [/data](https://github.com/RandomFractals/sql-duckdb-tools/tree/main/data/chinook/duckdb) folder with `chinook.duckdb` and `chinook.sqlite` database files, csv, json and parquet data files, and some test SQL queries you can try running on this well-known sample database wih our VSCode extension.
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You can adjust the amount of RAM allocated to VSCode IDE to enable opening large files and load more data into memory. Go to `File -> Preferences -> Settings` and type `files.maxMemoryForLargeFilesMB` in the Setting search field to change it. For example, users with 64GB of RAM can change it to `49152` MB to allow VSCode use 48GB of available memory.
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