JsonIndex

A simple document indexing and querying library built on top of Fjall, providing JSON document storage with flattened key-value indexing for efficient queries.

Features

• Document Storage: Store JSON documents with unique IDs
• Automatic Indexing: Automatically flattens and indexes JSON documents for fast retrieval
• Simple Querying: Query documents using flattened key-value patterns
• Complex Queries: Perform complex AND/OR queries across multiple conditions
• Document Management: Add, query, and delete documents with ease

Usage

use jsonindex::JsonIndexDB;fnmain() -> Result<(),Box<dyn std::error::Error>>{// Open databaselet keyspace = fjall::Config::new("db_data").open()?;let json_index = JsonIndexDB::new(keyspace)?;// Index a documentlet doc = r#"{"name": "John Doe", "age": 30, "address": {"city": "Anytown"}}"#;let doc_id = "unique-id-123";
json_index.index_document(doc, doc_id)?;// Simple querylet results = json_index.query("name=John Doe")?;for(id, doc)in results {println!("Found document: {}", doc);}// Complex query (AND operation)let results = json_index.complex_query(&["name=John Doe","age=30",],QueryLogic::And)?;// Complex query (OR operation)let results = json_index.complex_query(&["address.city=Anytown","address.city=Springfield",],QueryLogic::Or)?;// Delete a document
json_index.delete_document(doc_id)?;Ok(())}

How It Works

JsonIndex flattens nested JSON documents into key-value pairs with paths representing the hierarchy. For example:

{
"name": "John",
"address": {
"city": "Anytown"
}
}

Gets indexed as:

• name=John
• address.city=Anytown

Each indexed key-value pair points to a list of document IDs that contain that key-value pair, enabling efficient lookups.

License

MIT