The Detroit Post
Thursday, 21 October, 2021

Rust For Database

author
Paul Gonzalez
• Thursday, 12 November, 2020
• 9 min read

Dynein /day.non/ is a command line interface for Amazon DynamoDB written in Rust. Dynein is designed to make it simple to interact with DynamoDB tables/items from terminal.

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Contents

Pgx is a framework for developing PostgreSQL extensions in Rust and wants to make that process as idiomatic and safe as possible. R2d2-redis revisers support library for the r2d2 connection pool totally based on Steven Tackler's r2d2-postgres.

For more reasons than we have time to explore in this post, Rust is rapidly gaining popularity in the developer community. In this guide, we’ll compare 11 of the most popular and stable database drivers and Arms available for Rust.

At the end, we’ll compile all the key takeaways in a convenient table to help you choose the right database for your next Rust project. It implements protocols and formats for data exchange between application and database.

Mysql supports caching of statements as well as pools of connections. As you might’ve guessed, mysql_async is an asynchronous version of the MySQL driver.

It has a lot of APIs that are similar to those found in MySQL, but it may not have some new features since the crates are maintained by different developers. Mysql_asynchronous has full support for MySQL protocol, including TLS-based encryption.

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Rust has an asynchronous implementation for the Postgres protocol that is built on top of Tokyo asynchronous runtime, but it can work with other runtimes as well. That means tokio-postgres can process multiple data responses simultaneously.

Redis is an in-memory database that can be used for creating caches, worker queues, and microservices. SQLite is an in-process database with SQL support that is used by multiple platforms for maintaining data stores.

The SQLite crate uses bind gen to create the wrapper, which can result in long compile time. Rust has an official MongoDB driver with asynchronous support.

It’s written in pure Rust using Tokyo runtime for asynchronous support. Memcached is a free, open-source, high-performance, distributed memory object caching system.

Some features, including auto JSON serialization and compression, aren’t available yet. Crdrs is a database driver for Cassandra and Scylla.

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The crate provides a full implementation of Cassandra protocol and supports clusters. An object relational mapper (ORM) maps stable rows with Rust structs.

Arms provide support for multiple SQL databases. Diesel is type-safe, meaning table types are created using migration files.

Its goal is to produce identical behavior on multiple databases. Diesel doesn’t have asynchronous support, and the group by query is not well-supported.

On stable Rust, the error is a bit weird due to lack of support for procedural macros. Quaint supports multiple SQL databases, including MySQL, Postgres, and SQLite, as well as the connection pool.

The Rust community has built some awesome tools for managing database migrations, a few of which are ORM-independent. To help you make an informed selection, we’ve compiled the key takeaways, pros, cons, and features associated with each database driver and ORM described above (plus a few more) in a convenient table.

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If you’re interested in monitoring and tracking performance of your Rust apps, automatically surfacing errors, and tracking slow network requests and load time, try Rocket. Instead of guessing why problems happen, you can aggregate and report on what state your application was in when an issue occurred.

Believe it or not, some companies have schemas with more than 500 tables, so tools like this can dramatically reduce development costs. When I started prototyping a generic database tool in Rust a few weeks ago, I discovered that there isn’t a standard way to access databases in Rust and that I would have to write separate code for every single database, and I’m not just talking about MySQL and Postgres (two wouldn’t be so bad), I’m also thinking about distributed query engines such as Preston, Hive, Impala, and Drill, to name just a few.

In 1997, Sun Microsystems released the Java Database Connectivity (JDBC) specification. RBC is specifically for the use case where a developer needs the ability to execute arbitrary SQL against any database and then be able to fetch the results.

Good examples of this use case are generic SQL tools, business intelligence products, and distributed query engines. For that use case, I recommend using Diesel so that all data access can be expressed as idiomatic Rust code.

ODBC and JDBC were created quite a long time ago, so we need to be careful about blindly porting them to Rust. The short summary of the benefit of a columnar representation of data is that it supports vectorized processing and can take advantage of modern hardware features, such as Sims and GPUs.

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Although columnar databases existed before ODBC/JDBC, they didn’t really gain a lot of traction until the mid 2000s with products like Monet and Vertical. Arrow is driving some standardization that allows different products to more efficiently share and process columnar data.

These last two links really are worth a read to better understand why support for columnar data in RBC is important. The point I’m trying to get to here is that it would be very short-sighted to design RBC with just the row-based access pattern in mind (which is exactly what I did in the PoC).

RBC is just a low level data access and query execution API. I have also experienced issues with more than one poorly designed ORM, but Diesel is pretty awesome.

GraphS cope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. Distributed SQL database in Rust, written as a learning project.

Most components are built from scratch, including:Raft-based distributed consensus engine for invariable state machine replication. Shortcut This creates provides an indexed, queryable column-based storage system.

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Cang-jie() A Chinese tokenizer for tastily, based on jailers. Pallet A searchable document data store built on sled and tastily.

Provides a typed-tree interface to a sled database, with standard data store ops (fin Intended to be used for generating compatible search indices.

Mysql-async Tokyo based asynchronous MySQL client library for rust programming language. Mysql-proxy-rs An implementation of a MySQL proxy server built on top of tokio-core.

Rust -zookeeper Zookeeper client written 100% in Rust This library is intended to be equivalent with the official (low-level) ZooKeeper client which sh NOTE: Some documents is stolen from Unlike Official Website.

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