ChaiSQL is a modern embedded SQL database designed with developers in mind, emphasizing flexibility and usability. In this blog post, we will guide you through the installation and usage of ChaiSQL, its standout features, and how to troubleshoot common issues you may encounter along the way.
Key Features of ChaiSQL
- PostgreSQL API: ChaiSQL is fully compatible with the PostgreSQL SQL API.
- Optimized for Go: It has a native Go implementation without any CGO dependencies.
- Storage Flexibility: Data can be stored on-disk or in-memory according to your requirements.
- Solid Foundations: ChaiSQL is backed by Pebble for native Go toolchains and RocksDB for non-Go or CGO builds (coming soon).
Installation
To install the ChaiSQL database, simply run the following command in your terminal:
bash
go install github.com/chaisql/chai
Quickstart Guide
Start by creating a simple Go application to interact with your ChaiSQL database. Here’s how:
go
package main
import (
"context"
"fmt"
"log"
"github.com/chaisql/chai"
)
func main() {
// Create a database instance, here we'll store everything on-disk
db, err := chai.Open("mydb")
if err != nil {
log.Fatal(err)
}
defer db.Close()
// Create a new table
err = db.Exec(`
CREATE TABLE user (
id INT PRIMARY KEY,
name TEXT NOT NULL UNIQUE,
created_at TIMESTAMP NOT NULL
)
`)
// Insert a new user
err = db.Exec(`INSERT INTO user (id, name, created_at) VALUES ($1, $2, $3)`, 20, "foo", "2023-01-01 00:00:00")
// Query the user
rows, err := db.Query(`SELECT id, name FROM user WHERE created_at > $1`, "2022-01-01")
defer rows.Close()
err = rows.Iterate(func(r *chai.Row) error {
var id int
var name string
err = r.Scan(&id, &name)
if err != nil {
return err
}
fmt.Println(id, name)
return nil
})
}
Understanding the Code Through Analogy
Imagine you’re setting up a library (the database) where you want to keep track of books (the records). The library has separate sections for different genres (tables) where each book has a unique ID and some information about it (columns). You first reserve space for the library (open the database), then you create sections for each genre with specific rules on how to arrange them (create tables). After that, you can add a new book to a section or ask the librarian (query) about books that were added after a certain date.
In-memory Database
If you want to perform operations in-memory, simply use the following command:
go
db, err := chai.Open(":memory:")
Using the SQL Driver
You can also use the SQL driver directly as shown below:
go
import _ "github.com/chaisql/chai/driver"
db, err := sql.Open("chai", "mydb")
if err != nil {
log.Fatal(err)
}
defer db.Close()
// Perform database operations as usual
res, err := db.ExecContext(...)
res, err := db.Query(...)
Chai Shell
The Chai command line provides an SQL shell for efficient database management. Install it using:
bash
go install github.com/chaisql/chai/cmd/chai@latest
Usage Example:
bash
# For in-memory database:
chai
# For disk-based database:
chai dirName
Troubleshooting
If you encounter issues while installing or using ChaiSQL, here are some common troubleshooting tips:
- Installation Errors: Ensure you have Go installed and your PATH is set correctly.
- Database Connection Failures: Check if your database file path is correct when opening the database.
- SQL Execution Problems: Validate your SQL syntax and ensure tables have been created before querying.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

