Partition management extension for PostgreSQL
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Updated
Jan 9, 2024 - PLpgSQL
Partition management extension for PostgreSQL
MapReduce, Spark, Java, and Scala for Data Algorithms Book
A scikit-learn based module for multi-label et. al. classification
Partitioning tool for PostgreSQL
ActiveRecord PostgreSQL Partitioning
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
Header-Only C++ Library for Graph Representation and Algorithms
KaHIP -- Karlsruhe HIGH Quality Partitioning.
A starting point to build a web API to work with Azure Cosmos DB using .NET 5 and Azure Cosmos DB .NET SDK V3, based on Clean Architecture and repository design pattern. Partition key is also implemented through the repository pattern.
Partitioned ETS tables for Erlang and Elixir
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Bao, a Lightweight Static Partitioning Hypervisor
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Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2
A Django extension that supports PostgreSQL 11 time ranges and list partitioning.
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