Probabilistic data structures java implementation.
- cuckoo
- probabilistic-programming
- cuckoo-filter
- bloom-server
- filter
- scala
- scalable-bloom-filters
- java-library
- stablebloomfilter
- bloom
- spark-streaming
- probabilistic
- spark
- scala-library
- bloom-filters
- bloom-filter
- stable-bloom-filters
- java
Scala versions:
2.11
spark-bloom-connector 0.11
Group ID:
com.github.ponkin
Artifact ID:
spark-bloom-connector_2.11
Version:
0.11
Release Date:
Jun 10, 2017
Licenses:
libraryDependencies += "com.github.ponkin" %% "spark-bloom-connector" % "0.11" resolvers += Resolver.bintrayRepo("ponkin", "bloom")
ivy"com.github.ponkin::spark-bloom-connector:0.11" MavenRepository("https://dl.bintray.com/ponkin/bloom")
//> using dep "com.github.ponkin::spark-bloom-connector:0.11"
import $ivy.`com.github.ponkin::spark-bloom-connector:0.11` import ammonite._, Resolvers._ val res = Resolver.Http( "Bintray ponkin bloom", "Some(https://dl.bintray.com/ponkin/bloom)", IvyPattern, false) interp.resolvers() = interp.resolvers() :+ res
<dependency> <groupId>com.github.ponkin</groupId> <artifactId>spark-bloom-connector_2.11</artifactId> <version>0.11</version> </dependency>
compile group: 'com.github.ponkin', name: 'spark-bloom-connector_2.11', version: '0.11'