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duckdb_roaringbitmap

https://github.com/tsihan/duckdb_roaringbitmap

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (17.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: Tsihan
  • License: mit
  • Language: C++
  • Default Branch: master
  • Size: 237 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

This is our CSCI 550 project, and we support Roaring-Bitmp in DuckDB internal.


Github Actions Badge discord Latest Release

DuckDB

In this project, we will extend Roaring Bitmap to DuckDB, and our prototype's version is 0.10.0. DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on using DuckDB, please refer to the DuckDB documentation.

Installation

If you want to install and use DuckDB, please see our website for installation and usage instructions.

Data Import

For CSV files and Parquet files, data import is as simple as referencing the file in the FROM clause:

sql SELECT * FROM 'myfile.csv'; SELECT * FROM 'myfile.parquet';

Refer to our Data Import section for more information.

SQL Reference

The website contains a reference of functions and SQL constructs available in DuckDB.

Development

For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version. You should run make unit and make allunit to verify that your version works properly after making changes. To test performance, you can run BUILD_BENCHMARK=1 BUILD_TPCH=1 make and then perform several standard benchmarks from the root directory by executing ./build/release/benchmark/benchmark_runner. The detail of benchmarks is in our Benchmark Guide.

Please also refer to our Contribution Guide.

Support

See the Support Options page.

Owner

  • Login: Tsihan
  • Kind: user

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