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Copyright , Licensed under the GPL version 2. Please reach out to me directly if you require another licensing option. I am willing to work with you. To collect many important data structures for usage in go programs. Golang's standard library lacks many useful and important structures. This library attempts to fill the gap. I have implemented data-structure's as I have needed them. If there is a missing structure or even just a missing or incorrect method open an issue, send a pull request, or send an email patch.
The library also provides generic types to allow the user to swap out various data structures transparently. The interfaces provide operation for adding, removing, retrieving objects from collections as well as iterating over the collection using functional iterators.
The tree sub-package provides a variety of generic tree traversals. The tree traversals and other iterators in the package use a functional iteration technique detailed on my blog.
I hope you find my library useful. If you are using it drop me a line I would love to hear about it. A simple an extensible doubly linked list. It is Equatable Sortable , and Hashable as are the Node s. There is a version called Sortable which integrates with the "sort" package from the standard library. Sorted , it provides basic set operations.
SortedSet you don't have to write code re-implementing sets with the map[type] datatype. Map from any types. Construct a set from any types. A double ended queue that only allows unique items inside. Constructed from a doubly linked list and a linear hash table. Sorted have alternative constructors which make them fixed size. This prevents them from growing beyond a certain size bound and is useful for implementing other data structures on top of them.
Sorted , and set. SortedSet all can be serialized provided their contents can be serialized. They are therefore suitable for being sent over the wire. See this example for how to use the serialization. This is a binary heap for usage as a priority queue. The priorities are given to items in the queue on insertion and cannot be changed after insertion. It can be used as both a min heap and a max heap. An AVL Tree is a height balanced binary search tree.
Insertion and retrieval are both O log n where n is the number items in the tree. This version of the classic is immutable and should be thread safe due to immutability. However, there is a performance hit:. A ternary search trie is a symbol table specialized to byte strings. They utilize less memory allowing them to store more data while still retaining all of the flexibility of the R-Way Trie. TSTs can be used to build a suffix tree for full text string indexing by storing every suffix of each string in addition to the string.
However, even without storing all of the suffixes it is still a great structure for flexible prefix searches.
For instance, TSTs can be used to implement extremely fast auto-complete functionality. This implementation is not currently thread safe. There is also a variant which has unique keys, bptree. An implementation of the classic hash table with separate chaining to handle collisions. An implementation of Linear Hashing , a technique usually used for secondary storage hash tables. Often employed by databases and file systems for hash indices. This version is mostly instructional see the accompanying blog post.
If you want a disk backed version check out my file-structures repository. See the linhash directory. By default, most errors in Go programs to not track where they were created. Many programmers quickly discover they need to have stack traces associated with their errors.
This is a light weight package which adds stack traces to errors. It also provides a very very simple logging function that reports where in your code your printed out the log. This is not a full featured logging solution but rather a replacement for using fmt. The test package provides two minimal assertions and a way to get random strings and data. I consider this to the bare minimum of what is often needed when testing go code particularly data-structures. Since this package seeks to be entirely self contained with no dependencies no external testing package is used.
This package is slowly being improved to encompass more common functionality between the different tests. The exc package provides support for exceptions.
They work very similarly to the way unchecked exceptions work in Java. They are built on top of the built-in panic and recover functions. They should play nice with the usual way of handling errors in Go and provide an easy way to create public APIs which return errors rather than throwing these non-standard exceptions. Look at the relative difference not the absolute numbers as they are misleading.
Each benchmark does many operations per "test" which makes it difficult to compare these numbers to numbers found elsewhere. Also includes a linear virtual hashing implementation. Go Data Structures by Tim Henderson tim. Purpose To collect many important data structures for usage in go programs. LinkedList A simple an extensible doubly linked list. Sorted Array List list. Sorted Keeps the ArrayList in sorted order for you.
MapSet Construct a types. SetMap Construct a set from any types. UniqueDeque A double ended queue that only allows unique items inside.
Fixed Size Lists Both list. ImmutableAvlTree This version of the classic is immutable and should be thread safe due to immutability. However, there is a performance hit: TST A ternary search trie is a symbol table specialized to byte strings. Exceptions, Errors, and Testing Errors errors By default, most errors in Go programs to not track where they were created.
Test Support test The test package provides two minimal assertions and a way to get random strings and data. Exceptions as a Library exc The exc package provides support for exceptions. Related Projects fs2 Memory mapped datastructures.