Mastering Concurrency in Go

Table of Contents
Mastering Concurrency in Go
Credits
About the Author
About the Reviewers
www.PacktPub.com
· · · · · · (更多)

Table of Contents
Mastering Concurrency in Go
Credits
About the Author
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers, and more
Why subscribe?
Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. An Introduction to Concurrency in Go
Introducing goroutines
A patient goroutine
Implementing the defer control mechanism
Using Go's scheduler
Using system variables
Understanding goroutines versus coroutines
Implementing channels
Channel-based sorting at the letter capitalization factory
Cleaning up our goroutines
Buffered or unbuffered channels
Using the select statement
Closures and goroutines
Building a web spider using goroutines and channels
Summary
2. Understanding the Concurrency Model
Understanding the working of goroutines
Synchronous versus asynchronous goroutines
Designing the web server plan
Visualizing concurrency
RSS in action
An RSS reader with self diagnostics
Imposing a timeout
A little bit about CSP
The dining philosophers problem
Go and the actor model
Object orientation
Demonstrating simple polymorphism in Go
Using concurrency
Managing threads
Using sync and mutexes to lock data
Summary
3. Developing a Concurrent Strategy
Applying efficiency in complex concurrency
Identifying race conditions with race detection
Using mutual exclusions
Exploring timeouts
Importance of consistency
Synchronizing our concurrent operations
The project – multiuser appointment calendar
Visualizing a concurrent pattern
Developing our server requirements
Web server
The Gorilla toolkit
Using templates
Time
Endpoints
Custom structs
A multiuser Appointments Calendar
A note on style
A note on immutability
Summary
4. Data Integrity in an Application
Getting deeper with mutexes and sync
The cost of goroutines
Working with files
Getting low – implementing C
Touching memory in cgo
The structure of cgo
The other way around
Getting even lower – assembly in Go
Distributed Go
Some common consistency models
Distributed shared memory
First-in-first-out – PRAM
Looking at the master-slave model
The producer-consumer problem
Looking at the leader-follower model
Atomic consistency / mutual exclusion
Release consistency
Using memcached
Circuit
Summary
5. Locks, Blocks, and Better Channels
Understanding blocking methods in Go
Blocking method 1 – a listening, waiting channel
Sending more data types via channels
Creating a function channel
Using an interface channel
Using structs, interfaces, and more complex channels
The net package – a chat server with interfaced channels
Handling direct messages
Examining our client
Blocking method 2 – the select statement in a loop
Cleaning up goroutines
Blocking method 3 – network connections and reads
Creating channels of channels
Pprof – yet another awesome tool
Handling deadlocks and errors
Summary
6. C10K – A Non-blocking Web Server in Go
Attacking the C10K problem
Failing of servers at 10,000 concurrent connections
Using concurrency to attack C10K
Taking another approach
Building our C10K web server
Benchmarking against a blocking web server
Handling requests
Routing requests
Serving pages
Parsing our template
External dependencies
Connecting to MySQL
Multithreading and leveraging multiple cores
Exploring our web server
Timing out and moving on
Summary
7. Performance and Scalability
High performance in Go
Getting deeper into pprof
Parallelism's and concurrency's impact on I/O pprof
Using the App Engine
Distributed Go
Types of topologies
Type 1 – star
Type 2 – mesh
The Publish and Subscribe model
Serialized data
Remote code execution
Other topologies
Message Passing Interface
Some helpful libraries
Nitro profiler
Heka
GoFlow
Memory preservation
Garbage collection in Go
Summary
8. Concurrent Application Architecture
Designing our concurrent application
Identifying our requirements
Using NoSQL as a data store in Go
MongoDB
Redis
Tiedot
CouchDB
Cassandra
Couchbase
Setting up our data store
Monitoring filesystem changes
Managing logfiles
Handling configuration files
Detecting file changes
Sending changes to clients
Checking records against Couchbase
Backing up our files
Designing our web interface
Reverting a file's history – command line
Using Go in daemons and as a service
Checking the health of our server
Summary
9. Logging and Testing Concurrency in Go
Handling errors and logging
Breaking out goroutine logs
Using the LiteIDE for richer and easier debugging
Sending errors to screen
Logging errors to file
Logging errors to memory
Using the log4go package for robust logging
Panicking
Recovering
Logging our panics
Catching stack traces with concurrent code
Using the runtime package for granular stack traces
Summary
10. Advanced Concurrency and Best Practices
Going beyond the basics with channels
Building workers
Implementing nil channel blocks
Using nil channels
Implementing more granular control over goroutines with tomb
Timing out with channels
Building a load balancer with concurrent patterns
Choosing unidirectional and bidirectional channels
Using receive-only or send-only channels
Using an indeterminate channel type
Using Go with unit testing
GoCheck
Ginkgo and Gomega
Using Google App Engine
Utilizing best practices
Structuring your code
Documenting your code
Making your code available via go get
Keeping concurrency out of your packages
Summary
Index
· · · · · · (收起)