How to Use trdsql: A Comprehensive Guide to SQL on Text Files

Welcome to your go-to guide on trdsql, the command-line tool that simplifies executing SQL queries on various text file formats such as CSV, LTSV, JSON, YAML, and TBLN. With its capability to handle PostgreSQL and MySQL syntax, trdsql opens doors to powerful data manipulation directly from your terminal.

1. Installation

To start using trdsql, you’ll need to install it first. Here are several methods for installation depending on your system:

1.1. Using Go

If you have Go installed, use the following commands:

go get -d github.com/noborus/trdsql
cd $GOPATH/src/github.com/noborus/trdsql
make
make install

1.2. Download Binary

You can download a precompiled binary from the releases page for Linux, Windows, and macOS.

1.3. Homebrew

If you’re using Homebrew on macOS, this command will do:

brew install noborus/tap/trdsql

1.4. MacPorts

For MacPorts users, simply run:

sudo port selfupdate
sudo port install trdsql

1.5. FreeBSD

If you are using FreeBSD, you can install it from FreshPorts:

pkg install trdsql

2. Using Docker

If you prefer Docker, here’s how to use trdsql in a container:

2.1. Pull the Docker image

docker pull noborus/trdsql

2.2. Build the Docker image

docker build -t trdsql .

2.3. Run the Docker Container

docker run --rm -it -v $(pwd):/tmp trdsql [options and commands]

3. Usage

To use trdsql, start by specifying an SQL query or a file. The command looks like this:

trdsql [options] SQL

For file conversion, it’s akin to:

trdsql -o [output format] SELECT * FROM filename

3.1. Global Options

• -a filename: Analyze the file and suggest SQL.
• -A filename: Analyze the file but only suggest SQL.
• -config filename: Configuration file location.
• -db db name: Specify DB name of the setting.
• -driver string: Choose between mysql, postgres, sqlite3.
• -help: Display usage information.
• -version: Display version information.

4. Example Use Cases

Let’s take a deeper dive into using trdsql. You might think of it as a chef preparing a meal. Just like a chef needs ingredients to create a dish, you need data to perform SQL operations. Here’s how trdsql can help:

4.1. Querying a File

Suppose you have a CSV file named test.csv:

1,Orange
2,Melon
3,Apple

To execute a query, you can use:

trdsql SELECT * FROM test.csv

4.2. Handling Compressed Files

trdsql can seamlessly handle compressed files. If you have a gzipped CSV file:

trdsql SELECT * FROM testdata/test.csv.gz

4.3. JSON Filtering

For querying JSON files, trdsql caters to specified JSON attributes, using functions similar to those found in the JSON processing libraries. Here’s a small example:

trdsql -ijson SELECT * FROM sample.json

5. Troubleshooting

If you encounter issues, consider the following troubleshooting tips:

• Ensure you have Go 1.19 or higher installed if you are building from source.
• Try pulling a fresh copy of the Docker image if using Docker.
• Check the output formats to ensure they’re compatible with your input data structure.
• Refer to the documentation for advanced usage tips.

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Conclusion

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