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Merge pull request #379 from SurajAralihalli/main-branch24.04.0-release
[Doc] Update readme, ipynb files for 24.04.0 version [skip ci]
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.github/workflows/auto-merge.yml

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on:
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pull_request_target:
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branches:
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- branch-24.02
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- branch-24.04
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types: [closed]
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jobs:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- uses: actions/checkout@v4
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with:
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ref: branch-24.02 # force to fetch from latest upstream instead of PR ref
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ref: branch-24.04 # force to fetch from latest upstream instead of PR ref
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- name: auto-merge job
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uses: ./.github/workflows/auto-merge
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env:
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OWNER: NVIDIA
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REPO_NAME: spark-rapids-examples
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HEAD: branch-24.02
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BASE: branch-24.04
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HEAD: branch-24.04
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BASE: branch-24.06
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AUTOMERGE_TOKEN: ${{ secrets.AUTOMERGE_TOKEN }} # use to merge PR
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.github/workflows/signoff-check.yml

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signoff-check:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions/checkout@v4
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- name: sigoff-check job
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uses: ./.github/workflows/signoff-check

docs/get-started/xgboost-examples/csp/databricks/databricks.md

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create an `init.sh` scripts with contents:
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```bash
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#!/bin/bash
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sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.02.0/rapids-4-spark_2.12-24.02.0.jar
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```
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sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar
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1. Select the Databricks Runtime Version from one of the supported runtimes specified in the
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Prerequisites section.
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2. Choose the number of workers that matches the number of GPUs you want to use.
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```bash
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spark.rapids.sql.python.gpu.enabled true
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spark.python.daemon.module rapids.daemon_databricks
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spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-24.02.0.jar:/databricks/spark/python
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spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-24.04.0.jar:/databricks/spark/python
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```
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Note that since python memory pool require installing the cudf library, so you need to install cudf library in
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each worker nodes `pip install cudf-cu11 --extra-index-url=https://pypi.nvidia.com` or disable python memory pool

docs/get-started/xgboost-examples/csp/databricks/init.sh

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sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-gpu_2.12--ml.dmlc__xgboost4j-gpu_2.12__1.5.2.jar
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sudo rm -f /databricks/jars/spark--maven-trees--ml--10.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.5.2.jar
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sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.02.0/rapids-4-spark_2.12-24.02.0.jar
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sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar
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sudo wget -O /databricks/jars/xgboost4j-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.7.1/xgboost4j-gpu_2.12-1.7.1.jar
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sudo wget -O /databricks/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.7.1/xgboost4j-spark-gpu_2.12-1.7.1.jar
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ls -ltr

docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md

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export SPARK_DOCKER_TAG=<spark docker image tag>
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pushd ${SPARK_HOME}
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wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-24.02/dockerfile/Dockerfile
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wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-24.04/dockerfile/Dockerfile
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# Optionally install additional jars into ${SPARK_HOME}/jars/
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docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md

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### Download the jars
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Download the RAPIDS Accelerator for Apache Spark plugin jar
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* [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.02.0/rapids-4-spark_2.12-24.02.0.jar)
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* [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)
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### Build XGBoost Python Examples
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docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md

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### Download the jars
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1. Download the RAPIDS Accelerator for Apache Spark plugin jar
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* [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.02.0/rapids-4-spark_2.12-24.02.0.jar)
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* [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)
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### Build XGBoost Scala Examples
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examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile

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ARG CUDA_VER=11.8.0
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FROM nvidia/cuda:${CUDA_VER}-devel-ubuntu20.04
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# Please do not update the BRANCH_VER version
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ARG BRANCH_VER=24.02
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ARG BRANCH_VER=24.04
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RUN apt-get update
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RUN apt-get install -y wget ninja-build git

examples/ML+DL-Examples/Spark-cuML/pca/README.md

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[rapids-4-spark-ml_2.12-22.02.0-cuda11.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-ml_2.12/22.02.0/rapids-4-spark-ml_2.12-22.02.0-cuda11.jar)
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[rapids-4-spark_2.12-24.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.02.0/rapids-4-spark_2.12-24.02.0.jar)
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[rapids-4-spark_2.12-24.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar)
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Note: This demo could only work with v22.02.0 spark-ml version, and only compatible with spark-rapids versions prior to 24.02.0 . Please do not update the version in release.
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Note: This demo could only work with v22.02.0 spark-ml version, and only compatible with spark-rapids versions prior to 24.04.0 . Please do not update the version in release.
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## Sample code
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``` bash
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PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-24.02.0.jar
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PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-24.04.0.jar
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jupyter toree install \
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--spark_home=${SPARK_HOME} \

examples/ML+DL-Examples/Spark-cuML/pca/pom.xml

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<?xml version="1.0" encoding="UTF-8"?>
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<!--
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~ Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
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~ Copyright (c) 2021-2024, NVIDIA CORPORATION. All rights reserved.
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~
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~ Licensed under the Apache License, Version 2.0 (the "License");
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~ you may not use this file except in compliance with the License.
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<groupId>com.nvidia</groupId>
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<artifactId>PCAExample</artifactId>
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<packaging>jar</packaging>
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<version>24.02.0-SNAPSHOT</version>
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<version>24.04.0-SNAPSHOT</version>
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<properties>
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<maven.compiler.source>8</maven.compiler.source>
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<dependency>
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<groupId>com.nvidia</groupId>
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<artifactId>rapids-4-spark-ml_2.12</artifactId>
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<!--The last rapids-4-spark-ml release version is 22.02.0, snapshot version is 23.04.0-SNPASHOT! Please do not update the version-->
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<version>22.02.0</version>
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<!--The last rapids-4-spark-ml release version is 22.02.0, snapshot version is 23.04.0-SNAPSHOT! Please do not update the version-->
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</dependency>
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</dependencies>
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