update the release version (#304)

Signed-off-by: liyuan <[email protected]>
NVIDIA · Jun 29, 2023 · 298a24a · 298a24a
1 parent da69189
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Showing 27 changed files with 42 additions and 41 deletions.
diff --git a/docs/get-started/xgboost-examples/csp/databricks/databricks.md b/docs/get-started/xgboost-examples/csp/databricks/databricks.md
@@ -21,7 +21,7 @@ Navigate to your home directory in the UI and select **Create** > **File** from
 create an `init.sh` scripts with contents:   
    ```bash
    #!/bin/bash
-   sudo wget -O /databricks/jars/rapids-4-spark_2.12-23.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar
+   sudo wget -O /databricks/jars/rapids-4-spark_2.12-23.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar
    ```
 1. Select the Databricks Runtime Version from one of the supported runtimes specified in the
    Prerequisites section.
@@ -68,7 +68,7 @@ create an `init.sh` scripts with contents:
     ```bash
     spark.rapids.sql.python.gpu.enabled true
     spark.python.daemon.module rapids.daemon_databricks
-    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-23.04.0.jar:/databricks/spark/python
+    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-23.06.0.jar:/databricks/spark/python
     ```
    Note that since python memory pool require installing the cudf library, so you need to install cudf library in 
    each worker nodes `pip install cudf-cu11 --extra-index-url=https://pypi.nvidia.com` or disable python memory pool

diff --git a/docs/get-started/xgboost-examples/csp/databricks/init.sh b/docs/get-started/xgboost-examples/csp/databricks/init.sh
@@ -1,7 +1,7 @@
 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
 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
 
-sudo wget -O /databricks/jars/rapids-4-spark_2.12-23.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar
+sudo wget -O /databricks/jars/rapids-4-spark_2.12-23.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar
 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
 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
 ls -ltr

diff --git a/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md b/docs/get-started/xgboost-examples/on-prem-cluster/kubernetes-scala.md
@@ -40,7 +40,7 @@ export SPARK_DOCKER_IMAGE=<gpu spark docker image repo and name>
 export SPARK_DOCKER_TAG=<spark docker image tag>
 
 pushd ${SPARK_HOME}
-wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-23.04/dockerfile/Dockerfile
+wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-23.06/dockerfile/Dockerfile
 
 # Optionally install additional jars into ${SPARK_HOME}/jars/
 

diff --git a/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md b/docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md
@@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag
 ### Download the jars
 
 Download the RAPIDS Accelerator for Apache Spark plugin jar
-  * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)
+  * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)
 
 ### Build XGBoost Python Examples
 

diff --git a/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md b/docs/get-started/xgboost-examples/prepare-package-data/preparation-scala.md
@@ -5,7 +5,7 @@ For simplicity export the location to these jars. All examples assume the packag
 ### Download the jars
 
 1. Download the RAPIDS Accelerator for Apache Spark plugin jar
-   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)
+   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)
 
 ### Build XGBoost Scala Examples
 

diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
@@ -17,7 +17,7 @@
 
 ARG CUDA_VER=11.5.1
 FROM nvidia/cuda:${CUDA_VER}-devel-ubuntu20.04
-ARG BRANCH_VER=23.04
+ARG BRANCH_VER=23.06
 
 RUN apt-get update
 RUN apt-get install -y wget ninja-build git

diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/README.md b/examples/ML+DL-Examples/Spark-cuML/pca/README.md
@@ -12,7 +12,7 @@ User can also download the release jar from Maven central:
 
 [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)
 
-[rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)
+[rapids-4-spark_2.12-23.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)
 
 
 ## Sample code
@@ -48,7 +48,7 @@ It is assumed that a Standalone Spark cluster has been set up, the `SPARK_MASTER
 
     ``` bash
     RAPIDS_ML_JAR=PATH_TO_rapids-4-spark-ml_2.12-22.02.0-cuda11.jar
-    PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar
+    PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-23.06.0.jar
 
     jupyter toree install                                \
     --spark_home=${SPARK_HOME}                             \

diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml b/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml
@@ -21,7 +21,7 @@
     <groupId>com.nvidia</groupId>
     <artifactId>PCAExample</artifactId>
     <packaging>jar</packaging>
-    <version>23.04.0-SNAPSHOT</version>
+    <version>23.06.0-SNAPSHOT</version>
 
     <properties>
         <maven.compiler.source>8</maven.compiler.source>
@@ -51,7 +51,7 @@
         <dependency>
             <groupId>com.nvidia</groupId>
             <artifactId>rapids-4-spark-ml_2.12</artifactId>
-            <version>23.04.0-SNAPSHOT</version>
+            <version>23.06.0-SNAPSHOT</version>
         </dependency>
     </dependencies>
 

diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh b/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh
@@ -15,8 +15,8 @@
 # limitations under the License.
 #
 
-ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/23.04.0-SNAPSHOT/rapids-4-spark-ml_2.12-23.04.0-SNAPSHOT.jar
-PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/23.04.0-SNAPSHOT/rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar
+ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/23.06.0-SNAPSHOT/rapids-4-spark-ml_2.12-23.06.0-SNAPSHOT.jar
+PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/23.06.0-SNAPSHOT/rapids-4-spark_2.12-23.06.0-SNAPSHOT.jar
 
 $SPARK_HOME/bin/spark-submit \
 --master spark://127.0.0.1:7077  \
@@ -38,4 +38,4 @@ $SPARK_HOME/bin/spark-submit \
 --conf spark.network.timeout=1000s \
 --jars $ML_JAR,$PLUGIN_JAR \
 --class com.nvidia.spark.examples.pca.Main \
-/workspace/target/PCAExample-23.04.0-SNAPSHOT.jar
+/workspace/target/PCAExample-23.06.0-SNAPSHOT.jar
diff --git a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb
@@ -22,7 +22,7 @@
     "import os\n",
     "# Change to your cluster ip:port and directories\n",
     "SPARK_MASTER_URL = os.getenv(\"SPARK_MASTER_URL\", \"spark:your-ip:port\")\n",
-    "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-23.04.0.jar\")\n"
+    "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-23.06.0.jar\")\n"
    ]
   },
   {

diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md
@@ -108,7 +108,7 @@ See above Prerequisites section
 First finish the steps in "Building with Native Code Examples and run test cases" section, then do the following in the docker.
 
 ### Get jars from Maven Central
-[rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)
+[rapids-4-spark_2.12-23.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)
 
 ### Launch a local mode Spark
 

diff --git a/examples/UDF-Examples/Spark-cuSpatial/Dockerfile.awsdb b/examples/UDF-Examples/Spark-cuSpatial/Dockerfile.awsdb
@@ -48,7 +48,7 @@ RUN wget -q https://repo.continuum.io/miniconda/Miniconda3-py38_4.9.2-Linux-x86_
     conda config --system --set always_yes True && \
     conda clean --all
 
-RUN conda install -c rapidsai-nightly -c nvidia -c conda-forge  -c defaults libcuspatial=23.06
+RUN conda install -c rapidsai-nightly -c nvidia -c conda-forge  -c defaults libcuspatial=23.02
 RUN conda install -c conda-forge libgdal==3.3.1
 RUN pip install jupyter
 ENV JAVA_HOME /usr/lib/jvm/java-1.8.0-openjdk-amd64

diff --git a/examples/UDF-Examples/Spark-cuSpatial/README.md b/examples/UDF-Examples/Spark-cuSpatial/README.md
@@ -21,6 +21,7 @@ The polygon data can be downloaded from [taxi_zone dataset](https://data.cityofn
 
 Note: Please update the `x,y` column names to `Start_Lon,Start_Lat` in
 the [notebook](./notebooks/cuspatial_sample_db.ipynb) if you test with the download points.
+This demo could only work with v23.02.0 version or previous.
 
 taxi-zones map:
 
@@ -47,7 +48,7 @@ or [in local machine](#build-in-local-machine) after prerequisites.
      ```
 2. Bash into the Docker and install libcuspatial
      ```Bash
-     conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.04
+     conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.02
      ```
 3. Get the code, then run `mvn package`.
      ```Bash
@@ -69,7 +70,7 @@ Note: The docker env is just for building the jar, not for running the applicati
 4. [cuspatial](https://github.com/rapidsai/cuspatial): install libcuspatial
     ```Bash
     # Install libcuspatial from conda
-    conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.04
+    conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=23.02
     ```
 5. Build the JAR using `mvn package`.
      ```Bash
@@ -84,7 +85,7 @@ Note: The docker env is just for building the jar, not for running the applicati
 1. Set up [a standalone cluster](/docs/get-started/xgboost-examples/on-prem-cluster/standalone-scala.md) of Spark. Make sure the conda/lib is included in LD_LIBRARY_PATH, so that spark executors can load libcuspatial.so.
 
 2. Download Spark RAPIDS JAR
-   * [Spark RAPIDS JAR v23.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar) or above
+   * [Spark RAPIDS JAR v23.02.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.02.0/rapids-4-spark_2.12-23.02.0.jar) or above
 3. Prepare sample dataset and JARs. Copy the [sample dataset](../../../datasets/cuspatial_data.tar.gz) to `/data/cuspatial_data/`.
     Copy Spark RAPIDS JAR and `spark-cuspatial-<version>.jar` to `/data/cuspatial_data/jars/`.
     If you build the `spark-cuspatial-<version>.jar` in docker, please copy the jar from docker to local:

diff --git a/examples/UDF-Examples/Spark-cuSpatial/notebooks/cuspatial_sample_standalone.ipynb b/examples/UDF-Examples/Spark-cuSpatial/notebooks/cuspatial_sample_standalone.ipynb
@@ -9,7 +9,7 @@
    "source": [
     "from pyspark.sql import SparkSession\n",
     "import os\n",
-    "jarsPath = os.getenv(\"JARS_PATH\", \"/data/cuspatial_data/jars/rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar,/data/cuspatial_data/jars/spark-cuspatial-23.04.0-SNAPSHOT.jar\")\n",
+    "jarsPath = os.getenv(\"JARS_PATH\", \"/data/cuspatial_data/jars/rapids-4-spark_2.12-23.02.0-SNAPSHOT.jar,/data/cuspatial_data/jars/spark-cuspatial-23.02.0-SNAPSHOT.jar\")\n",
     "spark = SparkSession.builder \\\n",
     "    .config(\"spark.jars\", jarsPath) \\\n",
     "    .config(\"spark.sql.adaptive.enabled\", \"false\") \\\n",

diff --git a/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt b/examples/UDF-Examples/Spark-cuSpatial/src/main/native/CMakeLists.txt
@@ -16,7 +16,7 @@
 
 cmake_minimum_required(VERSION 3.20.1 FATAL_ERROR)
 
-project(SPATIALUDJNI VERSION 23.04.0 LANGUAGES C CXX CUDA)
+project(SPATIALUDJNI VERSION 23.02.0 LANGUAGES C CXX CUDA)
 
 ###################################################################################################
 # - build type ------------------------------------------------------------------------------------

diff --git a/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb b/examples/XGBoost-Examples/agaricus/notebooks/python/agaricus-gpu.ipynb
@@ -73,7 +73,7 @@
       "Setting default log level to \"WARN\".\n",
       "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
       "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",
-      "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n",
+      "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.06.0 using cudf 23.06.0.\n",
       "2022-11-30 06:57:54,210 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
       "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",
       "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",

diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL+XGBoost.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# Dataset\n",
     "\n",
-    "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-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
+    "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-23.06/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "# ETL + XGBoost train & transform\n",
     "\n",

diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb
@@ -6,18 +6,18 @@
    "source": [
     "## Prerequirement\n",
     "### 1. Download data\n",
-    "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-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
+    "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-23.06/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)\n",
+    "* [rapids-4-spark_2.12-23.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)\n",
     "\n",
     "\n",
     "### 3. Start Spark Standalone\n",
     "Before running the script, please setup Spark standalone mode\n",
     "\n",
     "### 4. Add ENV\n",
     "```\n",
-    "$ export SPARK_JARS=rapids-4-spark_2.12-23.04.0.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-23.06.0.jar\n",
     "$ export PYSPARK_DRIVER_PYTHON=jupyter \n",
     "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n",
     "```\n",

diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/cv-mortgage-gpu.ipynb
@@ -63,7 +63,7 @@
       "Setting default log level to \"WARN\".\n",
       "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
       "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",
-      "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n",
+      "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.06.0 using cudf 23.06.0.\n",
       "2022-11-25 09:34:58,171 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
       "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",
       "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"

diff --git a/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb
@@ -84,7 +84,7 @@
       "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMaster\n",
       "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering BlockManagerMasterHeartbeat\n",
       "22/11/24 06:14:06 INFO org.apache.spark.SparkEnv: Registering OutputCommitCoordinator\n",
-      "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n",
+      "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 23.06.0 using cudf 23.06.0.\n",
       "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
       "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",
       "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"

diff --git a/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb b/examples/XGBoost-Examples/mortgage/notebooks/scala/mortgage-ETL.ipynb
@@ -16,18 +16,18 @@
    "source": [
     "## Prerequirement\n",
     "### 1. Download data\n",
-    "<!-- Refer these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset -->\n",
-    "Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.04/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
+    "<!-- Refer these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.06/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset -->\n",
+    "Refer to these [instructions](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-23.06/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [rapids-4-spark_2.12-23.04.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)\n",
+    "* [rapids-4-spark_2.12-23.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)\n",
     "\n",
     "### 3. Start Spark Standalone\n",
     "Before Running the script, please setup Spark standalone mode\n",
     "\n",
     "### 4. Add ENV\n",
     "```\n",
-    "$ export SPARK_JARS=rapids-4-spark_2.12-23.04.0-SNAPSHOT.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-23.06.0-SNAPSHOT.jar\n",
     "\n",
     "```\n",
     "\n",

diff --git a/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb b/examples/XGBoost-Examples/taxi/notebooks/python/cv-taxi-gpu.ipynb
@@ -62,7 +62,7 @@
       "Setting default log level to \"WARN\".\n",
       "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
       "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",
-      "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.04.0 using cudf 23.04.0.\n",
+      "2022-11-30 08:02:23,737 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 23.06.0 using cudf 23.06.0.\n",
       "2022-11-30 08:02:23,752 WARN rapids.RapidsPluginUtils: spark.rapids.sql.multiThreadedRead.numThreads is set to 20.\n",
       "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",
       "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",