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[![master-ce7-builds](https://github.com/blaze-init/blaze/actions/workflows/build-ce7-releases.yml/badge.svg?branch=master)](https://github.com/blaze-init/blaze/actions/workflows/build-ce7-releases.yml) | ||
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The Blaze accelerator for Apache Spark leverages native vectorized execution to accelerate query processing. It combines | ||
the power of the [Apache Arrow-DataFusion](https://arrow.apache.org/datafusion/) library and the scale of the Spark distributed | ||
the power of the [Apache DataFusion](https://arrow.apache.org/datafusion/) library and the scale of the Spark distributed | ||
computing framework. | ||
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Blaze takes a fully optimized physical plan from Spark, mapping it into DataFusion's execution plan, and performs native | ||
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4. Check out the source code. | ||
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```shell | ||
git clone [email protected]:blaze-init/blaze.git | ||
git clone [email protected]:kwai/blaze.git | ||
cd blaze | ||
``` | ||
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