The DataSketches Library is organized into the following repository groups:
This repository has the core-java sketching classes, which are leveraged by some of the other repositories.
This repository has no external dependencies outside of the DataSketches/memory repository, Java and TestNG for unit tests. This code is versioned and the latest release can be obtained from incubator-datasketches-java.
High-level Repositories Structure
|Sketches-core Packages.||Package Description|
|org.apache.datasketches||Common functions and utilities|
|org.apache.datasketches.cpc||New Unique Counting Sketch with better accuracy per size than HLL|
|org.apache.datasketches.fdt||Frequent Distinct Tuples Sketch.|
|org.apache.datasketches.frequencies||Frequent Item Sketches, for both longs and generics|
|org.apache.datasketches.hash||The 128-bit MurmurHash3 and adaptors|
|org.apache.datasketches.hll||Unique counting HLL sketches for both heap and off-heap.|
|org.apache.datasketches.hllmap||The (HLL) Unique Count Map Sketch|
|org.apache.datasketches.kll||New quantiles sketch with better accuracy per size than the standard quantiles sketch.|
|org.apache.datasketches.quantiles||Sketches for quantiles, PMF and CDF functions, both doubles and generics and for heap and off-heap.|
|org.apache.datasketches.sampling||Weighted and uniform reservoir sampling with generics|
|org.apache.datasketches.theta||Unique counting Theta Sketches for both heap and off-heap|
|org.apache.datasketches.tuple||Tuple sketches for both primitives and generics|
|org.apache.datasketches.tuple.adouble||A Tuple sketch with a Summary of a single double|
|org.apache.datasketches.tuple.aninteger||A Tuple sketch with a Summary of a single integer|
|org.apache.datasketches.tuple.Strings||A Tuple sketch with a Summary of an array of Strings|
This code is versioned and the latest release can be obtained from incubator-datasketches-memory.
|Memory Packages||Package Description|
|org.apache.datasketches.memory||Low level, high-performance Memory data-structure management primarily for off-heap.|
This repository contains Hive UDFs and UDAFs for use within Hadoop grid enviornments. This code has dependencies on sketches-core as well as Hadoop and Hive. Users of this code are advised to use Maven to bring in all the required dependencies. This code is versioned and the latest release can be obtained from incubator-datasketches-hive.
|Sketches-hive Packages||Package Description|
|org.apache.datasketches.hive.cpc||Hive UDF and UDAFs for CPC sketches|
|org.apache.datasketches.hive.frequencies||Hive UDF and UDAFs for Frequent Items sketches|
|org.apache.datasketches.hive.hll||Hive UDF and UDAFs for HLL sketches|
|org.apache.datasketches.hive.kll||Hive UDF and UDAFs for KLL sketches|
|org.apache.datasketches.hive.quantiles||Hive UDF and UDAFs for Quantiles sketches|
|org.apache.datasketches.hive.theta||Hive UDF and UDAFs for Theta sketches|
|org.apache.datasketches.hive.tuple||Hive UDF and UDAFs for Tuple sketches|
This repository contains Pig User Defined Functions (UDF) for use within Hadoop grid environments. This code has dependencies on sketches-core as well as Hadoop and Pig. Users of this code are advised to use Maven to bring in all the required dependencies. This code is versioned and the latest release can be obtained from incubator-datasketches-pig.
|Sketches-pig Packages||Package Description|
|org.apache.datasketches.pig.cpc||Pig UDFs for CPC sketches|
|org.apache.datasketches.pig.frequencies||Pig UDFs for Frequent Items sketches|
|org.apache.datasketches.pig.hash||Pig UDFs for MurmerHash3|
|org.apache.datasketches.pig.hll||Pig UDFs for HLL sketches|
|org.apache.datasketches.pig.kll||Pig UDFs for KLL sketches|
|org.apache.datasketches.pig.quantiles||Pig UDFs for Quantiles sketches|
|org.apache.datasketches.pig.sampling.||Pig UDFs for Sampling sketches|
|org.apache.datasketches.pig.theta||Pig UDFs for Theta sketches|
|org.apache.datasketches.pig.tuple||Pig UDFs for Tuple sketches|
This relatively new repository is for code that we use to characterize the accuracy and speed performance of the sketches in the library and is constantly being updated. Examples of the job command files used for various tests can be found in the src/main/resources directory. Some of these tests can run for hours depending on its configuration.
|Characterization Packages||Package Description|
|org.apache.datasketches.characterization||Common functions and utilities|
|org.apache.datasketches.characterization.hash||Hash function performance|
|org.apache.datasketches.characterization.uniquecount||Performance of Theta and HLL sketches|
This is a new repository dedicated to sketches for vector and matrix operations. It is still somewhat experimental.
This is the evolving C++ implementations of the same sketches that are available in Java. These implementations are binary compatible with their counterparts in Java. In other words, a sketch created and stored in C++ can be opened and read in Java and visa-versa.
This site also has our Python adaptors that basically wrap the C++ implementations, making the high performance C++ implementations available from Python.
This site provides the postgres-specific adaptors that wrap the C++ implementations making them available to the Postgres database users.
This is the DataSketches web site source, and is constantly being updated with new material and to be current with the GitHub master. This site is not versioned.
These repositories provide a command-line tool that provides access to the following sketches:
This tool can be installed from Homebrew.
The code in these sites are no longer maintained and will eventually be removed.
This is a new repository dedicated to sketches designed to be run in a mobile client, such as a cell phone. It is still in development and should be considered experimental.
This repository is an experimental staging area for code that will eventually end up in another repository. This code is not versioned.
Demos, command-line access, characterization testing and other code not related to production deployment.
This code is offered “as is” and primarily as a reference so that users can understand how some of the performance characterization plots were obtained. This code has few unit tests, if any, and was never intended for production use. Nonetheless, some folks have found it useful. If you find it useful, go for it. This code is not versioned.
|Sketches-misc Packages||Package Description|
|org.apache.datasketches||Utility functions used by the sketches-misc packages|
|org.apache.datasketches.cmd||Support for Command Line functions Being Redesigned|
|org.apache.datasketches.demo||Simple demo for brute-force vs Theta and HLL sketches Will be superceded by Command Line functions|
|org.apache.datasketches.quantiles||Utility for computing & printing space table for Quantiles Sketches (only in the test branch)|
|org.apache.datasketches.sampling||Benchmarks and Entropy testing for sampling sketches|
This is the parallel characterization repository with a parallel objective to the Java characterization repository.
This repository is an experimental staging area for C++ code that will eventually end up in another repository.