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- By disabling the storage plugins you don't need to install mysql-connector-cpp=8.0.23 libpq=13 sqlite=3 (neither any of its dependencies).
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- Currenlty we support only MySQL. but PostgreSQL and SQLite will be ready for the next version!
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# Documentation
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User guides and public APIs documentation can be found at [here](https://docs.blazingdb.com/docs)
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Our internal code architecture can be built using Spinx.
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```bash
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pip install recommonmark exhale
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conda install -c conda-forge doxygen
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cd$CONDA_PREFIX
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cd blazingsql/docs
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cd blazingsql/docsrc
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pip install -r requirements.txt
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make doxygen
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make html
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```
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The generated documentation can be viewed in a browser at `blazingsql/docs/_build/html/index.html`
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The generated documentation can be viewed in a browser at `blazingsql/docsrc/build/html/index.html`
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# Community
@@ -230,4 +240,4 @@ The RAPIDS suite of open source software libraries aim to enable execution of en
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## Apache Arrow on GPU
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The GPU version of [Apache Arrow](https://arrow.apache.org/) is a common API that enables efficient interchange of tabular data between processes running on the GPU. End-to-end computation on the GPU avoids unnecessary copying and converting of data off the GPU, reducing compute time and cost for high-performance analytics common in artificial intelligence workloads. As the name implies, cuDF uses the Apache Arrow columnar data format on the GPU. Currently, a subset of the features in Apache Arrow are supported.
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The GPU version of [Apache Arrow](https://arrow.apache.org/) is a common API that enables efficient interchange of tabular data between processes running on the GPU. End-to-end computation on the GPU avoids unnecessary copying and converting of data off the GPU, reducing compute time and cost for high-performance analytics common in artificial intelligence workloads. As the name implies, cuDF uses the Apache Arrow columnar data format on the GPU. Currently, a subset of the features in Apache Arrow are supported.
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