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Exploring Isar Database in Flutter
Aug 11, 2024
Flutter Original Show - Isar Database
Introduction
Host: Maud
Guest: Simon (Flutter engineer from Munich, Germany)
Topic: Isar, a NoSQL database package for Flutter
Recent updates to Isar demonstrated promising benchmarks.
Importance of databases in applications, especially for offline-first scenarios.
Guest Introduction
Simon's background in creating open-source packages related to databases (e.g., Hive, Isar).
Focus on making databases easy to use and performant.
Overview of Databases
Hive
Simple key-value database written in Dart.
Own storage format, but has limitations:
No support for multiple isolates.
Can be slow, especially at app startup.
Queries must be implemented in Dart, which can be inefficient.
Lacks indexing capabilities.
Isar
NoSQL database with advanced features.
Built for ease of use and performance.
Made up of three components:
Isar Core
: Backend written in Rust for performance.
Isar Generator
: Analyzes code at build time, ensuring type correctness.
Isar Package
: Lightweight runtime layer for database interaction.
Offers object builder style queries, reducing the likelihood of errors.
Features of Isar
Performance
: Built with Rust for speed; benchmarks show good performance against competitors.
Storage Options
: New version offers both native Isar engine and CQ light engine for interaction with SQL databases.
Queries
: Simplified querying with static checks to avoid mistakes.
Encryption
: Optional encryption using industry-standard protocols.
Multi-threading
: Supports transactions to ensure consistent database state during operations.
Benchmarks
Benchmarking databases is complex and may not be fair due to varying capabilities.
Isar shows competitive performance in insertion and querying compared to other databases.
Implementation
Creating a User Object
Use a
User
class with properties like name, username, email, etc.
Annotate class with
@Collection
for Isar to recognize it as a collection.
Generate code using
build_runner
.
Opening an Instance
Use
isar.open()
to create a database instance, which requires a schema and directory path.
Important to handle async operations correctly to avoid UI blocking.
Using Transactions
Transactions are crucial for atomic operations and maintaining database integrity.
Required for write operations to avoid performance issues.
Querying
Provides generated methods for various query types.
Statically checked queries to prevent runtime errors.
Inspector Feature
A debugging tool to explore the schema and data in Isar.
Allows live updates and modifications to the database content.
Future Enhancements
Potential for adding adapters for SQL databases like PostgreSQL or MySQL.
Encourages community contribution and feedback to improve documentation and functionality.
Conclusion
Simon invites viewers to engage with the Isar community and contribute to improvements.
Acknowledges the importance of user feedback for enhancing documentation.
Host thanks Simon for the insights and encourages future visits for deeper dives into Isar.
📄
Full transcript