9bdcbe0447
Major integrations and fixes: - Added BACKBEAT SDK integration for P2P operation timing - Implemented beat-aware status tracking for distributed operations - Added Docker secrets support for secure license management - Resolved KACHING license validation via HTTPS/TLS - Updated docker-compose configuration for clean stack deployment - Disabled rollback policies to prevent deployment failures - Added license credential storage (CHORUS-DEV-MULTI-001) Technical improvements: - BACKBEAT P2P operation tracking with phase management - Enhanced configuration system with file-based secrets - Improved error handling for license validation - Clean separation of KACHING and CHORUS deployment stacks 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
91 lines
3.0 KiB
Markdown
91 lines
3.0 KiB
Markdown
gtreap
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------
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gtreap is an immutable treap implementation in the Go Language
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[](https://godoc.org/github.com/steveyen/gtreap) [](https://drone.io/github.com/steveyen/gtreap/latest) [](https://coveralls.io/r/steveyen/gtreap)
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Overview
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========
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gtreap implements an immutable treap data structure in golang.
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By treap, this data structure is both a heap and a binary search tree.
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By immutable, any updates/deletes to a treap will return a new treap
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which can share internal nodes with the previous treap. All nodes in
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this implementation are read-only after their creation. This allows
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concurrent readers to operate safely with concurrent writers as
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modifications only create new data structures and never modify
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existing data structures. This is a simple approach to achieving MVCC
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or multi-version concurrency control.
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By heap, items in the treap follow the heap-priority property, where a
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parent node will have higher priority than its left and right children
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nodes.
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By binary search tree, items are store lexigraphically, ordered by a
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user-supplied Compare function.
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To get a probabilistic O(lg N) tree height, you should use a random
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priority number during the Upsert() operation.
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LICENSE
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=======
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MIT
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Example
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=======
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import (
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"math/rand"
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"github.com/steveyen/gtreap"
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)
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func stringCompare(a, b interface{}) int {
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return bytes.Compare([]byte(a.(string)), []byte(b.(string)))
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}
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t := gtreap.NewTreap(stringCompare)
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t = t.Upsert("hi", rand.Int())
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t = t.Upsert("hola", rand.Int())
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t = t.Upsert("bye", rand.Int())
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t = t.Upsert("adios", rand.Int())
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hi = t.Get("hi")
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bye = t.Get("bye")
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// Some example Delete()'s...
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t = t.Delete("bye")
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nilValueHere = t.Get("bye")
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t2 = t.Delete("hi")
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nilValueHere2 = t2.Get("hi")
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// Since we still hold onto treap t, we can still access "hi".
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hiStillExistsInTreapT = t.Get("hi")
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t.VisitAscend("cya", func(i Item) bool {
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// This visitor callback will be invoked with every item
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// from "cya" onwards. So: "hi", "hola".
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// If we want to stop visiting, return false;
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// otherwise a true return result means keep visiting items.
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return true
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})
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Tips
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====
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The Upsert() method takes both an Item (an interface{}) and a heap
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priority. Usually, that priority should be a random int
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(math/rand.Int()) or perhaps even a hash of the item. However, if you
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want to shuffle more commonly accessed items nearer to the top of the
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treap for faster access, at the potential cost of not approaching a
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probabilistic O(lg N) tree height, then you might tweak the priority.
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See also
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========
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For a simple, ordered, key-value storage or persistence library built
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on immutable treaps, see: https://github.com/steveyen/gkvlite
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