Apache Thrift is an open-source software framework used for scalable, cross-language service development, originally developed by Facebook and managed by the Apache Software Foundation. It combines an Interface Definition Language (IDL) with a code generation engine to enable seamless communication between services written in different languages (e.g., Python, Java, C++, Go).
Thrift is an IDL (Interface Definition Language) and binary communication protocol used for defining and creating services for programming languages. It was developed by Facebook. Since 2020, it is an open source project in the Apache Software Foundation.
Thrift is a lightweight, language-independent software stack with an associated code generation mechanism for RPC. Thrift provides clean abstractions for data transport, data serialization, and application level processing. Thrift was originally developed by Facebook and now it is open sourced as an Apache project.
Data Format: Thrift is a binary data format, while JSON is a human-readable text-based format. Performance: Thrift offers faster data transfer and processing due to its compact binary encoding. JSON is slower due to its larger text size.
So, as a developer, it is important to learn about API and Types of API for building a scalable application. APIs are of different types, each has its specific purpose and usage for the applications. In this article, we will explore 4 primary types of APIs: Public APIs, Private APIs, Composite APIs, and Partner APIs.
Protocol Buffers is widely used at Google for storing and interchanging all kinds of structured information. The method serves as a basis for a custom remote procedure call (RPC) system that is used for nearly all inter-machine communication at Google.
While HTTP 2 is now a common web protocol, it does not have universal browser support, unlike HTTP 1.1. This limited browser support can make gRPC a less attractive option for developers who want to support web applications.
Thrift is a serialization and RPC framework for service communication. Thrift enables these features in all major languages, and there is strong support for C++, Python, Hack, and Java. Most services at Facebook are written using Thrift for RPC, and some storage systems use Thrift for serializing records on disk.
Not only are we using fewer resources when we thrift something, but overall, less things are thrown away as well. Shopping second hand is a great way to give a new home to some awesome items that would otherwise end up in the trash.
Thrift stores stand apart in several important ways. Instead of selling brand-new merchandise, they offer pre-owned items donated by community members. This creates an ever-changing inventory that looks different every time you shop, making each visit an adventure.
What is the difference between default and optional in thrift?
As outlined in this answer, there are three degrees of (so-called) requiredness in Thrift: required : must exist on read, must be set on write. optional : may or may not be set, entirely optional. "default": may not exist on read, always written (unless it is a null pointer )
Netflix uses gRPC to manage service-to-service communication in its microservice-heavy architecture. Their move to gRPC helped improve the performance of high-throughput systems, like those used for playback and metadata services.
In fact, he reported that they are 7 to 10 times faster: “gRPC is roughly 7 times faster than REST when receiving data & roughly 10 times faster than REST when sending data for this specific payload. This is mainly due to the tight packing of the Protocol Buffers and the use of HTTP/2 by gRPC.”
Kafka remains a powerful technology but choosing it blindly leads to confusion. Not every problem is best solved asynchronously or with event-driven architecture. The migration to gRPC brought not just performance gains, but far greater architectural clarity.
gRPC is a high-performance, contract-first RPC framework built on top of HTTP/2, designed for low-latency, cross-language communication between services.
gRPC supports multiple programming languages, including Java, C++, Python, and Go, making it highly versatile. One of the main advantages of gRPC is its high performance. It uses HTTP/2 as the underlying transport protocol, enabling bi-directional streaming and multiplexing.
It's not possible to directly call a gRPC service from a browser. gRPC uses HTTP/2 features, and no browser provides the level of control required over web requests to support a gRPC client.
Java is not obsolete, but it's no longer the default choice for every new project. It's transforming from a “one-size-fits-all” language into a robust option among many, suited for specific use cases like high-performance backend systems, enterprise applications, and cross-language development via the JVM.
Serialization Speed: For small datasets (such as 100 users), Proto serializes data over ten times faster than JSON. Deserialization: Both formats perform similarly when deserializing large datasets, though Proto maintains a slight edge.
All proto definitions should have one top-level element and build target per file. The “1-1-1” best practice advocates structuring definitions with one top-level entity (message, enum, or extension) per . proto file, corresponding to a single proto_library build rule.