Thursday, August 15, 2013

Facebook Thrift

                    Abstract of Facebook Thrift

Thrift is a software library and a set of code generation tool which was developed at the Facebook Office at Palo Alto, California, to expedite development and implementation of scalable and efficient backend services. The primary goal of thrift is enable efficient and reliable communication across programming languages by abstracting the portions of each language that tend to require the most customization into a common library that is implemented in each language. This is done by allowing the users to define the data types and service interfaces in a common Interface Definition Logic File (IDL File) which is supposed to be language neutral file and it generates all the necessary code to build Remote Procedure Calls to clients and servers. This report explains the design choices and implementation level details and also tries to demonstrate a sample Thrift Service.
The whole concept of Thrift stemmed out from the fact that a new direction was required to tackle the resource demands problems for many of Facebook's on-site applications, which couldn’t be addressed by staying within the LAMP framework. LAMP is the acronym for Linux, MySQL, Apache and PHP. When Facebook was being laboriously designed, it was done from ground up using this LAMP framework. By 2006 Facebook was widely accepted all over the world as the social networking site and consequently its network traffic also grew giving rise to the need for scaling its network structure for many of its onsite applications like, search, ad selection and delivery and event logging.
Scaling these operations to match the resource demands was not possible within the LAMP framework. In their implementation of creating many of these services like search, event logging various programming languages had been selected to optimize for the right combination of performance, ease and speed of development, availability of existing libraries etc. Also a large portion of the Facebook's culture has always preferred to choose the best tools and implementations over the standardizing on any one programming language and begrudgingly accepting its inherent limitations. Most of the programming languages either suffered from subpar performance or constrained data type freedom. Given all these technical challenges and design choices, the engineers at Facebook were presented with a herculean task of building a scalable, transparent and high performance bridge across various programming languages.
Thrift Design Features
The primary idea behind Thrift is that it consists of a language neutral stack which is implemented across various programming languages and an associated code generation engine which transforms a simple interface and data definition language into client and server remote procedure call libraries. Thrift is designed to be as simple as possible for the developers who can define all the necessary data structures and interfaces for a complex service in a single short file. This file is called as Thrift Interface Definition Logic File or Thrift IDL File. The developers identified some important features while evaluating the technical challenges of cross language interactions in a networked environment.
Types:
A common type system should exist across all the programming languages without requiring the need for the developers to write their own serialization code. Serialization is the process of transforming an object of one type to another. For example if a programmer has written an application implementing a strongly typed STL map for a Python dictionary. Neither programmer should be forced to write any code below the application layer. Dictionary is a data type in Python which allows sequencing a collection of items or elements using keys. It is very similar to 'Associative Arrays'.
Transport:
Each language must have a common interface to bidirectional raw data transport. Consider a scenario where there are 2 servers in which, one is deployed in Java and the other one is deployed in Python. So a typical service written in Java should be able to send the raw data from that service to a common interface which will be understood by the other server which is running on Python and vice-versa. The Transport Layer should be able to transport the raw data file across the two ends. The specifics about how this transport is implemented shouldn’t matter to the service developer. The same application code should be able to run against TCP Stream Sockets, raw data in memory or files on disk.
Protocol:
In order to transport the raw data, they have to be encoded into a particular format like binary, XML etc. Therefore the Transport Layer uses some particular protocol to encode or decode the data. Again the application developer will not be bothered about this. He is only worried whether the data can be read or written in some deterministic manner.
Versioning:
For the services to be robust they must evolve from their present version. They should incorporate new features and in order to do this the data types involved in the service should provide a mechanism to add or delete fields of an object or alter the arguments list of a function without any interruption in service. This is called Versioning.
Processors:
Processors are the ones which process the data streams and accomplish Remote Procedure Calls.
Thrift allows programmers to develop completely using thrift's native data type rather than using any wrapper objects or special dynamic types. It also does not require the developer to write any serialization code for transport. The developer is given the freedom to logically annotate their data structures in Thrift Interface Definition Logic File (IDL File), with minimal amount of extra information necessary to tell the code generator how to safely transport the objects across languages.

Structs:

A thrift struct defines a common object to be used across languages. A struct is essentially similar to a class in object oriented programming languages. A Thrift struct has a strongly typed field with unique field identifiers. The basic syntax for Thrift struct is very similar to the structs used in C. The fields in a Thrift struct may be annotated with unique field identifiers unique to the scope of the struct and also with optional default values. The concept of field identifiers can be omitted also and this concept of field identifers was introduced strictly for versioning purposes.
This is how a Thrift Struct looks like,
struct Example
{
1: i32 number =10,
2: i64 bignumber,
3: double decimals,
4: string name= “NB”
};

As you can see the fields inside the Thrift struct are labeled with unique field identifiers.
Facebook Thrift Services
Thrift has been employed in a large number of applications at Facebook, including search, logging, mobile, ads and the developer platform. Two specific usages are discussed below.
Search
Thrift is used as the underlying protocol and transport layer for the Facebook Search service. The multi-language code generation is well suited for search because it allows for application development in an efficient server side language (C++) and allows the Facebook PHP-based web application to make calls to the search service using Thrift PHP libraries. There is also a large variety of search stats, deployment and testing functionality that is built on top of generated Python code. Additionally, the Thrift log file format is used as a redo log for providing real-time search index updates. Thrift has allowed the search team to leverage each language for its strengths and to develop code at a rapid pace.
Logging
The Thrift TFileTransport functionality is used for structured logging. Each service function definition along with its parameters can be considered to be a structured log entry identified by the function name. This log can then be used for a variety of purposes, including online and offline processing, stats aggregation and as a redo log.
Thrift has enabled Facebook to build scalable backend services efficiently by enabling engineers to divide and conquer. Application developers can focus on application code without worrying about the sockets layer. We avoid duplicated work by writing buffering and I/O logic in one place, rather than interspersing it in each application. Thrift has been employed in a wide variety of applications at Facebook, including search, logging, mobile, ads, and the developer platform. We have found that the marginal performance cost incurred by an extra layer of software abstraction is far eclipsed by the gains in developer efficiency and systems reliability. Finally Thrift has been added to Apache Software Foundation as the Apache Thrift Project , making it open source framework for cross-language services implementation.

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