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| --- | ||
| Below are archived releases for RAPIDS Accelerator for Apache Spark. | ||
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| ## Release v23.12.1 | ||
| ### 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 | ||
| Apache Spark 3.4.0, 3.4.1 | ||
| Apache Spark 3.5.0 | ||
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| Supported Databricks runtime versions for Azure and AWS: | ||
| Databricks 10.4 ML LTS (GPU, Scala 2.12, Spark 3.2.1) | ||
| 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) | ||
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| Supported Dataproc versions: | ||
| GCP Dataproc 2.0 | ||
| GCP Dataproc 2.1 | ||
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| Supported Dataproc Serverless versions: | ||
| Spark runtime 1.1 LTS | ||
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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 v23.12.1 | ||
| - **Scala 2.12:** | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.12 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.12.1/rapids-4-spark_2.12-23.12.1.jar) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.12 jar.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.12.1/rapids-4-spark_2.12-23.12.1.jar.asc) | ||
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| - **Scala 2.13:** | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.13 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/23.12.1/rapids-4-spark_2.13-23.12.1.jar) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.13 jar.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/23.12.1/rapids-4-spark_2.13-23.12.1.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_2.12-23.12.1.jar.asc rapids-4-spark_2.12-23.12.1.jar` | ||
| * Verify the signature for Scala 2.13 jar: | ||
| `gpg --verify rapids-4-spark_2.13-23.12.1.jar.asc rapids-4-spark_2.13-23.12.1.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 | ||
| New functionality and performance improvements for this release include: | ||
| * Introduced support for chunked reading of ORC files. | ||
| * Enhanced support for additional time zones and added stack function support. | ||
| * Enhanced performance for join and aggregation operations. | ||
| * Kernel optimizations have been implemented to improve Parquet read performance. | ||
| * RAPIDS Accelerator also built and tested with Scala 2.13. | ||
| * Last version to support Pascal-based Nvidia GPUs; discontinued in the next release. | ||
| * Introduced support for parquet Legacy rebase mode (spark.sql.parquet.datetimeRebaseModeInRead=LEGACY and spark.sql.parquet.int96RebaseModeInRead=LEGACY) | ||
| * Introduced support for Percentile function. | ||
| * Delta lake 2.3 support. | ||
| * Qualification and Profiling tool: | ||
| * Profiling Tool now processes Spark Driver log for GPU runs, enhancing feature analysis. | ||
| * Auto-tuner recommendations include AQE settings for optimized performance. | ||
| * New configurations in Profiler for enabling off-default features: udfCompiler, incompatibleDateFormats, hasExtendedYearValues. | ||
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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 v23.12.0 | ||
| ### Hardware Requirements: | ||
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| Python 3.x, Scala 2.12, Java 8 | ||
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@@ -18,7 +18,7 @@ cuDF jar, that is either preinstalled in the Spark classpath on all nodes or sub | |
| that uses the RAPIDS Accelerator For Apache Spark. See the [getting-started | ||
| guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/getting-started/overview.html) for more details. | ||
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| ## Release v23.12.1 | ||
| ## Release v23.12.2 | ||
| ### Hardware Requirements: | ||
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| The plugin is tested on the following architectures: | ||
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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 v23.12.1 | ||
| ### Download RAPIDS Accelerator for Apache Spark v23.12.2 | ||
| - **Scala 2.12:** | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.12 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.12.1/rapids-4-spark_2.12-23.12.1.jar) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.12 jar.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.12.1/rapids-4-spark_2.12-23.12.1.jar.asc) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.2 - Scala 2.12 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.12.2/rapids-4-spark_2.12-23.12.2.jar) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.2 - Scala 2.12 jar.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.12.2/rapids-4-spark_2.12-23.12.2.jar.asc) | ||
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| - **Scala 2.13:** | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.13 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/23.12.1/rapids-4-spark_2.13-23.12.1.jar) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.1 - Scala 2.13 jar.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/23.12.1/rapids-4-spark_2.13-23.12.1.jar.asc) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.2 - Scala 2.13 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/23.12.2/rapids-4-spark_2.13-23.12.2.jar) | ||
| - [RAPIDS Accelerator for Apache Spark 23.12.2 - Scala 2.13 jar.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/23.12.2/rapids-4-spark_2.13-23.12.2.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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@@ -81,9 +81,9 @@ CUDA 11.8 through CUDA 12.0. | |
| * 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_2.12-23.12.1.jar.asc rapids-4-spark_2.12-23.12.1.jar` | ||
| `gpg --verify rapids-4-spark_2.12-23.12.2.jar.asc rapids-4-spark_2.12-23.12.2.jar` | ||
| * Verify the signature for Scala 2.13 jar: | ||
| `gpg --verify rapids-4-spark_2.13-23.12.1.jar.asc rapids-4-spark_2.13-23.12.1.jar` | ||
| `gpg --verify rapids-4-spark_2.13-23.12.2.jar.asc rapids-4-spark_2.13-23.12.2.jar` | ||
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| The output of signature verify: | ||
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@@ -110,4 +110,4 @@ For a detailed list of changes, please refer to the | |
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| ## Archived releases | ||
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| As new releases come out, previous ones will still be available in [archived releases](./archive.md). | ||
| As new releases come out, previous ones will still be available in [archived releases](./archive.md). | ||