Go wrapper for CRoaring (a C/C++ implementation at https://github.com/RoaringBitmap/CRoaring)
Roaring bitmaps are used by several important systems:
- Apache Lucene and derivative systems such as Solr and Elastic,
- Metamarkets' Druid,
- Apache Spark,
- Netflix Atlas,
- LinkedIn Pinot,
- OpenSearchServer,
- Cloud Torrent,
- Whoosh,
- Pilosa,
- Microsoft Visual Studio Team Services (VSTS),
- eBay's Apache Kylin.
Roaring bitmaps are found to work well in many important applications:
Use Roaring for bitmap compression whenever possible. Do not use other bitmap compression methods (Wang et al., SIGMOD 2017)
The original java version can be found at https://github.com/RoaringBitmap/RoaringBitmap
There is a native Go version at https://github.com/RoaringBitmap/roaring
This code is licensed under Apache License, Version 2.0 (ASL2.0).
Copyright 2016 by the authors.
See https://github.com/lemire/gobitmapbenchmark for a comparison between this wrapper and the Go native version.
- Daniel Lemire, Owen Kaser, Nathan Kurz, Luca Deri, Chris O'Hara, François Saint-Jacques, Gregory Ssi-Yan-Kai, Roaring Bitmaps: Implementation of an Optimized Software Library arXiv:1709.07821
- Samy Chambi, Daniel Lemire, Owen Kaser, Robert Godin, Better bitmap performance with Roaring bitmaps, Software: Practice and Experience Volume 46, Issue 5, pages 709–719, May 2016 http://arxiv.org/abs/1402.6407 This paper used data from http://lemire.me/data/realroaring2014.html
- Daniel Lemire, Gregory Ssi-Yan-Kai, Owen Kaser, Consistently faster and smaller compressed bitmaps with Roaring, Software: Practice and Experience (accepted in 2016, to appear) http://arxiv.org/abs/1603.06549
None in particular.
Naturally, you also need to grab the roaring code itself:
- go get github.com/RoaringBitmap/gocroaring
Here is a simplified but complete example:
package main
import (
"fmt"
"github.com/RoaringBitmap/gocroaring"
)
func main() {
// example inspired by https://github.com/fzandona/goroar
fmt.Println("==roaring==")
rb1 := gocroaring.New(1, 2, 3, 4, 5, 100, 1000)
rb1.RunOptimize() // improves compression
fmt.Println("Cardinality: ", rb1.Cardinality())
fmt.Println("Contains 3? ", rb1.Contains(3))
rb2 := gocroaring.New()
rb2.Add(3, 4, 1000)
rb2.RunOptimize() // improves compression
rb1.And(rb2)
// prints {3,4,1000}
fmt.Println(rb1)
rb3 := gocroaring.New(1, 5)
rb3.Or(rb1)
// prints 1, 3, 4, 5, 1000
i := rb3.Iterator()
for i.HasNext() {
fmt.Println(i.Next())
}
fmt.Println()
fmt.Println(rb3.ToArray())
fmt.Println(rb3)
rb4 := gocroaring.FastOr(rb1, rb2, rb3) // optimized way to compute unions between many bitmaps
fmt.Println(rb4)
// next we include an example of serialization
buf := make([]byte, rb1.SerializedSizeInBytes())
rb1.Write(buf) // we omit error handling
newrb, _ := gocroaring.Read(buf)
if rb1.Equals(newrb) {
fmt.Println("I wrote the content to a byte stream and read it back.")
}
fmt.Println(rb1.Stats()) // show the cardinality and the numbers of each type of container used.
}
Current documentation is available at http://godoc.org/github.com/RoaringBitmap/gocroaring
https://groups.google.com/forum/#!forum/roaring-bitmaps
You can read bitmaps in Go, Java, C, C++ that have been serialized in Go, Java, C, C++.