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[Doc] Update plugin versions for 24.08.1 [skip ci] (#426)
* update version for 2408 release Signed-off-by: liyuan <[email protected]> * update to 2408.1 Signed-off-by: liyuan <[email protected]> --------- Signed-off-by: liyuan <[email protected]>
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‎docs/get-started/xgboost-examples/csp/databricks/databricks.md

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@@ -21,7 +21,7 @@ Navigate to your home directory in the UI and select **Create** > **File** from
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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_2.12-24.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar
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sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.08.1.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar
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```
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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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```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_2.12-24.06.0.jar:/databricks/spark/python
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spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-24.08.1.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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@@ -1,7 +1,7 @@
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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_2.12-24.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar
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sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.08.1.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.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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@@ -40,7 +40,7 @@ export SPARK_DOCKER_IMAGE=<gpu spark docker image repo and name>
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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-24.06/dockerfile/Dockerfile
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wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-24.08/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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@@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag
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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_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)
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* [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.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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@@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag
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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_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)
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* [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.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=24.06
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ARG BRANCH_VER=24.08
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RUN apt-get update
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RUN apt-get install -y wget ninja-build git

‎examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb

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"import os\n",
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"# Change to your cluster ip:port and directories\n",
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"SPARK_MASTER_URL = os.getenv(\"SPARK_MASTER_URL\", \"spark:your-ip:port\")\n",
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"RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-24.06.0.jar\")\n"
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"RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-24.08.1.jar\")\n"
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]
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},
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{

‎examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md

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### Get jars from Maven Central
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[rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)
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[rapids-4-spark_2.12-24.08.1.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar)
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### Launch a local mode Spark

‎examples/UDF-Examples/RAPIDS-accelerated-UDFs/pom.xml

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user defined functions for use with the RAPIDS Accelerator
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for Apache Spark
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</description>
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<version>24.08.0-SNAPSHOT</version>
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<version>24.08.1-SNAPSHOT</version>
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<properties>
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<maven.compiler.source>1.8</maven.compiler.source>
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<cuda.version>cuda11</cuda.version>
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<scala.binary.version>2.12</scala.binary.version>
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<!-- Depends on release version, Snapshot version is not published to the Maven Central -->
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<rapids4spark.version>24.06.0</rapids4spark.version>
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<rapids4spark.version>24.08.1</rapids4spark.version>
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<spark.version>3.1.1</spark.version>
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<scala.version>2.12.15</scala.version>
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<udf.native.build.path>${project.build.directory}/cpp-build</udf.native.build.path>

‎examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/CMakeLists.txt

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endif()
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rapids_cuda_init_architectures(UDFEXAMPLESJNI)
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project(UDFEXAMPLESJNI VERSION 24.08.0 LANGUAGES C CXX CUDA)
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project(UDFEXAMPLESJNI VERSION 24.08.1 LANGUAGES C CXX CUDA)
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option(PER_THREAD_DEFAULT_STREAM "Build with per-thread default stream" OFF)
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option(BUILD_UDF_BENCHMARKS "Build the benchmarks" OFF)
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set(CUDA_USE_STATIC_CUDA_RUNTIME ON)
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rapids_cpm_init()
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rapids_cpm_find(cudf 24.08.00
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rapids_cpm_find(cudf 24.08.10
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CPM_ARGS
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GIT_REPOSITORY https://github.com/rapidsai/cudf.git
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GIT_TAG branch-24.08

‎examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb

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"Setting default log level to \"WARN\".\n",
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"To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
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"2022-11-30 06:57:40,550 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n",
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"2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\n",
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"2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.08.1 using cudf 24.08.1.\n",
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"2022-11-30 06:57:54,210 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
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"2022-11-30 06:57:54,214 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n",
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"2022-11-30 06:57:54,214 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n",

‎examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb

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"source": [
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"## Prerequirement\n",
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"### 1. Download data\n",
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"Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-24.06/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
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"Dataset is derived from Fannie Mae’s [Single-Family Loan Performance Data](http://www.fanniemae.com/portal/funding-the-market/data/loan-performance-data.html) with all rights reserved by Fannie Mae. Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-24.08/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
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"\n",
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"### 2. Download needed jars\n",
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"* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)\n",
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"* [rapids-4-spark_2.12-24.08.1.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar)\n",
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"\n",
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"\n",
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"### 3. Start Spark Standalone\n",
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"Before running the script, please setup Spark standalone mode\n",
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"\n",
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"### 4. Add ENV\n",
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"```\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.jar\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.08.1.jar\n",
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"$ export PYSPARK_DRIVER_PYTHON=jupyter \n",
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"$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n",
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"```\n",

‎examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb

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"Setting default log level to \"WARN\".\n",
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"To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
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"2022-11-25 09:34:43,952 WARN resource.ResourceUtils: The configuration of cores (exec = 4 task = 1, runnable tasks = 4) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n",
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"2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\n",
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"2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.08.1 using cudf 24.08.1.\n",
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"2022-11-25 09:34:58,171 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
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"2022-11-25 09:34:58,175 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n",
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"2022-11-25 09:34:58,175 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n"

‎examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb

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"22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMaster\n",
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"22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMasterHeartbeat\n",
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"22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering OutputCommitCoordinator\n",
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"22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\n",
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"22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 24.08.1 using cudf 24.08.1.\n",
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"22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
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"22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n",
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"22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n"

‎examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb

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"Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.12/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
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"\n",
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"### 2. Download needed jars\n",
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"* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)\n",
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"* [rapids-4-spark_2.12-24.08.1.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar)\n",
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"\n",
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"### 3. Start Spark Standalone\n",
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"Before Running the script, please setup Spark standalone mode\n",
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"\n",
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"### 4. Add ENV\n",
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"```\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.jar\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.08.1.jar\n",
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"\n",
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"```\n",
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"\n",

‎examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb

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"Setting default log level to \"WARN\".\n",
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"To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
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"2022-11-30 08:02:10,103 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n",
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"2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\n",
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"2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.08.1 using cudf 24.08.1.\n",
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"2022-11-30 08:02:23,752 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
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"2022-11-30 08:02:23,756 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n",
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"2022-11-30 08:02:23,757 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n",

‎examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb

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"All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n",
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"\n",
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"### 2. Download needed jars\n",
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"* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)\n",
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"* [rapids-4-spark_2.12-24.08.1.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar)\n",
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"\n",
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"### 3. Start Spark Standalone\n",
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"Before running the script, please setup Spark standalone mode\n",
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"\n",
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"### 4. Add ENV\n",
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"```\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.jar\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.08.1.jar\n",
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"$ export PYSPARK_DRIVER_PYTHON=jupyter \n",
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"$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n",
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"```\n",

‎examples/XGBoost-Examples/taxi/notebooks/python/taxi-gpu.ipynb

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"Setting default log level to \"WARN\".\n",
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"To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
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"2022-11-30 07:51:19,480 WARN resource.ResourceUtils: The configuration of cores (exec = 2 task = 1, runnable tasks = 2) will result in wasted resources due to resource gpu limiting the number of runnable tasks per executor to: 1. Please adjust your configuration.\n",
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"2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.06.0 using cudf 24.06.0.\n",
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"2022-11-30 07:51:33,277 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 24.08.1 using cudf 24.08.1.\n",
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"2022-11-30 07:51:33,292 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
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"2022-11-30 07:51:33,295 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator is enabled, to disable GPU support set `spark.rapids.sql.enabled` to false.\n",
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"2022-11-30 07:51:33,295 WARN rapids.RapidsPluginUtils: spark.rapids.sql.explain is set to `NOT_ON_GPU`. Set it to 'NONE' to suppress the diagnostics logging about the query placement on the GPU.\n",

‎examples/XGBoost-Examples/taxi/notebooks/scala/taxi-ETL.ipynb

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"All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n",
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"\n",
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"### 2. Download needed jar\n",
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"* [rapids-4-spark_2.12-24.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar)\n",
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"* [rapids-4-spark_2.12-24.08.1.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.08.1/rapids-4-spark_2.12-24.08.1.jar)\n",
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"\n",
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"### 3. Start Spark Standalone\n",
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"Before running the script, please setup Spark standalone mode\n",
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"\n",
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"### 4. Add ENV\n",
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"```\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.06.0.jar\n",
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"$ export SPARK_JARS=rapids-4-spark_2.12-24.08.1.jar\n",
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"\n",
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"```\n",
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"\n",

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