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| Below are archived releases for RAPIDS Accelerator for Apache Spark. | ||
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| ## Release v24.08.1 | ||
| ### Hardware Requirements: | ||
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| The plugin is tested on the following architectures: | ||
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| GPU Models: NVIDIA V100, T4, A10/A100, L4 and H100 GPUs | ||
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| ### Software Requirements: | ||
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| OS: Ubuntu 20.04, Ubuntu 22.04, CentOS 7, or Rocky Linux 8 | ||
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| NVIDIA Driver*: R470+ | ||
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| Runtime: | ||
| Scala 2.12, 2.13 | ||
| Python, Java Virtual Machine (JVM) compatible with your spark-version. | ||
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| * Check the Spark documentation for Python and Java version compatibility with your specific | ||
| Spark version. For instance, visit `https://spark.apache.org/docs/3.4.1` for Spark 3.4.1. | ||
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| Supported Spark versions: | ||
| Apache Spark 3.2.0, 3.2.1, 3.2.2, 3.2.3, 3.2.4 | ||
| Apache Spark 3.3.0, 3.3.1, 3.3.2, 3.3.3, 3.3.4 | ||
| Apache Spark 3.4.0, 3.4.1, 3.4.2, 3.4.3 | ||
| Apache Spark 3.5.0, 3.5.1 | ||
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| Supported Databricks runtime versions for Azure and AWS: | ||
| Databricks 11.3 ML LTS (GPU, Scala 2.12, Spark 3.3.0) | ||
| Databricks 12.2 ML LTS (GPU, Scala 2.12, Spark 3.3.2) | ||
| Databricks 13.3 ML LTS (GPU, Scala 2.12, Spark 3.4.1) | ||
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| Supported Dataproc versions (Debian/Ubuntu/Rocky): | ||
| GCP Dataproc 2.1 | ||
| GCP Dataproc 2.2 | ||
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| Supported Dataproc Serverless versions: | ||
| Spark runtime 1.1 LTS | ||
| Spark runtime 2.0 | ||
| Spark runtime 2.1 | ||
| Spark runtime 2.2 | ||
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| *Some hardware may have a minimum driver version greater than R470. Check the GPU spec sheet | ||
| for your hardware's minimum driver version. | ||
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| *For Cloudera and EMR support, please refer to the | ||
| [Distributions](https://docs.nvidia.com/spark-rapids/user-guide/latest/faq.html#which-distributions-are-supported) section of the FAQ. | ||
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| ### RAPIDS Accelerator's Support Policy for Apache Spark | ||
| The RAPIDS Accelerator maintains support for Apache Spark versions available for download from [Apache Spark](https://spark.apache.org/downloads.html) | ||
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| ### Download RAPIDS Accelerator for Apache Spark v24.08.1 | ||
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| | Processor | Scala Version | Download Jar | Download Signature | | ||
| |-----------|---------------|--------------|--------------------| | ||
| | x86_64 | Scala 2.12 | [RAPIDS Accelerator v24.08.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar.asc) | | ||
| | x86_64 | Scala 2.13 | [RAPIDS Accelerator v24.08.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/24.08.1/rapids-4-spark_2.13-24.08.1.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/24.08.1/rapids-4-spark_2.13-24.08.1.jar.asc) | | ||
| | arm64 | Scala 2.12 | [RAPIDS Accelerator v24.08.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1-cuda11-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1-cuda11-arm64.jar.asc) | | ||
| | arm64 | Scala 2.13 | [RAPIDS Accelerator v24.08.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/24.08.1/rapids-4-spark_2.13-24.08.1-cuda11-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/24.08.1/rapids-4-spark_2.13-24.08.1-cuda11-arm64.jar.asc) | | ||
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| This package is built against CUDA 11.8. It is tested on V100, T4, A10, A100, L4 and H100 GPUs with | ||
| CUDA 11.8 through CUDA 12.0. | ||
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| ### Verify signature | ||
| * Download the [PUB_KEY](https://keys.openpgp.org/[email protected]). | ||
| * Import the public key: `gpg --import PUB_KEY` | ||
| * Verify the signature for Scala 2.12 jar: | ||
| `gpg --verify rapids-4-spark_2.12-24.08.1.jar.asc rapids-4-spark_2.12-24.08.1.jar` | ||
| * Verify the signature for Scala 2.13 jar: | ||
| `gpg --verify rapids-4-spark_2.13-24.08.1.jar.asc rapids-4-spark_2.13-24.08.1.jar` | ||
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| The output of signature verify: | ||
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| gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) <[email protected]>" | ||
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| ### Release Notes | ||
| * Support timezones with daylight savings shifts | ||
| * Improve metrics in Spark UI | ||
| * Refactor Parquet decode microkernels and support load balancing RLE runs | ||
| * Improve get_json performance | ||
| * Support dynamic scan filtering | ||
| * Improve UCX shuffle | ||
| * For updates on RAPIDS Accelerator Tools, please visit [this link](https://github.com/NVIDIA/spark-rapids-tools/releases) | ||
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| Note: There is a known issue in the 24.08.1 release when decompressing gzip files on H100 GPUs. | ||
| Please find more details in [issue-16661](https://github.com/rapidsai/cudf/issues/16661). | ||
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| For a detailed list of changes, please refer to the | ||
| [CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md). | ||
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| ## Release v24.06.1 | ||
| ### Hardware Requirements: | ||
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docs/archives/CHANGELOG_24.02-to-24.04.md → docs/archives/CHANGELOG_24.02-to-24.06.md
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