Bolthold

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BoltHold is an embeddable NoSQL store for Go types built on BoltDB, providing a simple querying and indexing layer. It simplifies data management and searching through data in Go applications.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is bolthold?

BoltHold is an embeddable NoSQL store designed for Go types, built on top of a BoltDB instance. It offers a higher-level interface to BoltDB, simplifying the process of encoding, decoding, and searching through data. Developers can define indexes using struct tags or by implementing a Storer interface, allowing for efficient querying of large datasets. The tool supports various query operators, including equality, range, and regular expressions, and allows for chaining multiple criteria. BoltHold also facilitates operations like updating and deleting data based on query results, and provides functionality for aggregate queries and iterating through records without loading the entire dataset into memory. It supports unique constraints and auto-incrementing keys, making it a robust solution for Go developers needing a streamlined NoSQL database.

Best used for

Ideal for developers who need to embed a NoSQL database directly into their Go applications, simplify data storage and retrieval for Go types, and efficiently query and index large datasets. Especially valuable for projects requiring a lightweight, performant, and customizable data store.

Common actions

manage data

query data

index data

store Go types

build NoSQL applications

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Capabilities

Key features

Querying and indexing layer
Go type serialization
Custom index definition
Chainable query operators
Aggregate queries
Unique constraints
Auto-incrementing keys

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary benefit of using BoltHold over BoltDB directly?

BoltHold provides a higher-level interface for Go types, automating encoding, decoding, and offering advanced querying and indexing capabilities. This saves developers from writing repetitive code for data management and search operations that would be necessary with raw BoltDB.

How does BoltHold handle indexing for improved query performance?

BoltHold allows defining indexes using struct tags (`boltholdIndex`) or by implementing the `Storer` interface. These indexes create separate buckets that map values to record keys, significantly speeding up queries by reducing the number of records that need to be checked.

Can I use custom serialization methods with BoltHold?

Yes, while BoltHold uses Gob encoding by default, you can supply your own encode and decode functions to the `Options` struct when opening a store. This flexibility allows integration with other serialization formats if needed.

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