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Strongly Typed Data Structures in Go
Nate Finch
Currently employed by Advent Software
13 years as a developer
Mainly C++/C#
Startups & Enterprise Software
Go doesn't have generics
● Sure it does – array, slice, map, channel
● But...
● No user-created generic data structures
● No generic functions
Do we even need them?
● Built-in containers solve a lot of problems
– Dictionary, set, stack, list
● But not all:
– Left Leaning Red Black Tree
– Heap
– etc
Interface{} to the rescue?
● No!
● What are we, barbarians?
● STOGTFO (Strongly Typed Or Get The F Out)
– That's a technical term
● Compile-time type safety
● Refactoring
● Static code analysis
Is there another way?
● Yes!
● Have you seen package sort?
● We can do the same thing for data structures
● Index as a generic pointer
● Comparison function using indices
Generic Trees
● The algorithmic code is generic
● A few lines creates a new wrapper around
your data container
● No casts, no Interface{}
● 36 LOC (incl. comments) for a new tree
Where do we go from here?
● This method can be used for other data
structures
● Similar methods can be used for other needs.
● Slice indices, map keys, both can be used for
genericizing. (not to be confused with jazzercizing)
Questions?
Code is on github:
https://github.com/natefinch/tree
https://github.com/natefinch/treesample
slides will be posted to G+ after the meeting

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Strongly Typed Data Structures in Go

  • 1. Strongly Typed Data Structures in Go Nate Finch Currently employed by Advent Software 13 years as a developer Mainly C++/C# Startups & Enterprise Software
  • 2. Go doesn't have generics ● Sure it does – array, slice, map, channel ● But... ● No user-created generic data structures ● No generic functions
  • 3. Do we even need them? ● Built-in containers solve a lot of problems – Dictionary, set, stack, list ● But not all: – Left Leaning Red Black Tree – Heap – etc
  • 4. Interface{} to the rescue? ● No! ● What are we, barbarians? ● STOGTFO (Strongly Typed Or Get The F Out) – That's a technical term ● Compile-time type safety ● Refactoring ● Static code analysis
  • 5. Is there another way? ● Yes! ● Have you seen package sort? ● We can do the same thing for data structures ● Index as a generic pointer ● Comparison function using indices
  • 6. Generic Trees ● The algorithmic code is generic ● A few lines creates a new wrapper around your data container ● No casts, no Interface{} ● 36 LOC (incl. comments) for a new tree
  • 7. Where do we go from here? ● This method can be used for other data structures ● Similar methods can be used for other needs. ● Slice indices, map keys, both can be used for genericizing. (not to be confused with jazzercizing)
  • 8. Questions? Code is on github: https://github.com/natefinch/tree https://github.com/natefinch/treesample slides will be posted to G+ after the meeting