update release versions (#261)

Signed-off-by: liyuan <[email protected]>

Signed-off-by: liyuan <[email protected]>

Author: nvliyuan

docs/get-started/xgboost-examples/csp/databricks/generate-init-script-10.4.ipynb

@@ -24,9 +24,9 @@
    "source": [
     "%sh\n",
     "cd ../../dbfs/FileStore/jars/\n",
-    "sudo wget -O rapids-4-spark_2.12-22.10.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar\n",
-    "sudo wget -O xgboost4j-gpu_2.12-1.6.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.6.1/xgboost4j-gpu_2.12-1.6.1.jar\n",
-    "sudo wget -O xgboost4j-spark-gpu_2.12-1.6.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.6.1/xgboost4j-spark-gpu_2.12-1.6.1.jar\n",
+    "sudo wget -O rapids-4-spark_2.12-22.12.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar\n",
+    "sudo wget -O 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\n",
+    "sudo wget -O 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\n",
     "ls -ltr\n",
     "\n",
     "# Your Jars are downloaded in dbfs:/FileStore/jars directory"
@@ -59,9 +59,9 @@
     "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\n",
     "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\n",
     "\n",
-    "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.6.1.jar /databricks/jars/\n",
-    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.10.0.jar /databricks/jars/\n",
-    "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.6.1.jar /databricks/jars/\"\"\", True)"
+    "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.1.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.12.0.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar /databricks/jars/\"\"\", True)"
    ]
   },
   {
@@ -132,8 +132,8 @@
     "\n",
     "1. Edit your cluster, adding an initialization script from `dbfs:/databricks/init_scripts/init.sh` in the \"Advanced Options\" under \"Init Scripts\" tab\n",
     "2. Reboot the cluster\n",
-    "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.6.1.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n",
-    "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.10/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n",
+    "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n",
+    "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.12/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n",
     "5. Inside the mortgage example notebook, update the data paths\n",
     "  `train_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-train.csv')`\n",
     "  `trans_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-trans.csv')`"

docs/get-started/xgboost-examples/csp/databricks/generate-init-script.ipynb

@@ -24,9 +24,9 @@
    "source": [
     "%sh\n",
     "cd ../../dbfs/FileStore/jars/\n",
-    "sudo wget -O rapids-4-spark_2.12-22.10.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar\n",
-    "sudo wget -O xgboost4j-gpu_2.12-1.6.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-gpu_2.12/1.6.1/xgboost4j-gpu_2.12-1.6.1.jar\n",
-    "sudo wget -O xgboost4j-spark-gpu_2.12-1.6.1.jar https://repo1.maven.org/maven2/ml/dmlc/xgboost4j-spark-gpu_2.12/1.6.1/xgboost4j-spark-gpu_2.12-1.6.1.jar\n",
+    "sudo wget -O rapids-4-spark_2.12-22.12.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar\n",
+    "sudo wget -O 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\n",
+    "sudo wget -O 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\n",
     "ls -ltr\n",
     "\n",
     "# Your Jars are downloaded in dbfs:/FileStore/jars directory"
@@ -59,9 +59,9 @@
     "sudo rm -f /databricks/jars/spark--maven-trees--ml--9.x--xgboost-gpu--ml.dmlc--xgboost4j-gpu_2.12--ml.dmlc__xgboost4j-gpu_2.12__1.4.1.jar\n",
     "sudo rm -f /databricks/jars/spark--maven-trees--ml--9.x--xgboost-gpu--ml.dmlc--xgboost4j-spark-gpu_2.12--ml.dmlc__xgboost4j-spark-gpu_2.12__1.4.1.jar\n",
     "\n",
-    "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.6.1.jar /databricks/jars/\n",
-    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.10.0.jar /databricks/jars/\n",
-    "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.6.1.jar /databricks/jars/\"\"\", True)"
+    "sudo cp /dbfs/FileStore/jars/xgboost4j-gpu_2.12-1.7.1.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.12.0.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar /databricks/jars/\"\"\", True)"
    ]
   },
   {
@@ -132,8 +132,8 @@
     "\n",
     "1. Edit your cluster, adding an initialization script from `dbfs:/databricks/init_scripts/init.sh` in the \"Advanced Options\" under \"Init Scripts\" tab\n",
     "2. Reboot the cluster\n",
-    "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.6.1.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n",
-    "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.10/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n",
+    "3. Go to \"Libraries\" tab under your cluster and install `dbfs:/FileStore/jars/xgboost4j-spark-gpu_2.12-1.7.1.jar` in your cluster by selecting the \"DBFS\" option for installing jars\n",
+    "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.12/examples/XGBoost-Examples/mortgage/notebooks/python/mortgage-gpu.ipynb`\n",
     "5. Inside the mortgage example notebook, update the data paths\n",
     "  `train_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-train.csv')`\n",
     "  `trans_data = reader.schema(schema).option('header', True).csv('/data/mortgage/csv/small-trans.csv')`"

docs/get-started/xgboost-examples/notebook/python-notebook.md

@@ -67,7 +67,3 @@ and the home directory for Apache Spark respectively.
 - Mortgage ETL Notebook: [Python](../../../../examples/XGBoost-Examples/mortgage/notebooks/python/MortgageETL.ipynb)
 - Taxi ETL Notebook: [Python](../../../../examples/XGBoost-Examples/taxi/notebooks/python/taxi-ETL.ipynb)
 - Note: Agaricus does not have ETL part.
-   
-For PySpark based XGBoost, please refer to the
-[Spark-RAPIDS-examples 22.04 branch](https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.04/docs/get-started/xgboost-examples/notebook/python-notebook.md) 
-that uses [NVIDIA’s Spark XGBoost version](https://repo1.maven.org/maven2/com/nvidia/xgboost4j-spark_3.0/). 

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-22.10/dockerfile/Dockerfile
+wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-22.12/dockerfile/Dockerfile
 
 # Optionally install additional jars into ${SPARK_HOME}/jars/
 

docs/get-started/xgboost-examples/prepare-package-data/preparation-python.md

@@ -9,7 +9,7 @@ For simplicity export the location to these jars. All examples assume the packag
    * [XGBoost4j-Spark Package](https://repo1.maven.org/maven2/com/nvidia/xgboost4j-spark_3.0/1.4.2-0.3.0/)
 
 2. Download the RAPIDS Accelerator for Apache Spark plugin jar
-   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar)
+   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)
 
 ### Build XGBoost Python Examples
 
@@ -21,14 +21,3 @@ You need to copy the dataset to `/opt/xgboost`. Use the following links to downl
 1. [Mortgage dataset](/docs/get-started/xgboost-examples/dataset/mortgage.md)
 2. [Taxi dataset](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page)
 3. [Agaricus dataset](https://gust.dev/r/xgboost-agaricus)
-
-### Setup environments
-
-``` bash
-export SPARK_XGBOOST_DIR=/opt/xgboost
-export RAPIDS_JAR=${SPARK_XGBOOST_DIR}/rapids-4-spark_2.12-22.10.0.jar
-export XGBOOST4J_JAR=${SPARK_XGBOOST_DIR}/xgboost4j_3.0-1.4.2-0.3.0.jar
-export XGBOOST4J_SPARK_JAR=${SPARK_XGBOOST_DIR}/xgboost4j-spark_3.0-1.4.2-0.3.0.jar
-export SAMPLE_ZIP=${SPARK_XGBOOST_DIR}/samples.zip
-export MAIN_PY=${SPARK_XGBOOST_DIR}/main.py
-```

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_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar)
+   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)
 
 ### Build XGBoost Scala Examples
 
@@ -17,11 +17,3 @@ You need to copy the dataset to `/opt/xgboost`. Use the following links to downl
 1. [Mortgage dataset](/docs/get-started/xgboost-examples/dataset/mortgage.md)
 2. [Taxi dataset](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page)
 3. [Agaricus dataset](https://gust.dev/r/xgboost-agaricus)
-
-### Setup environments
-
-``` bash
-export SPARK_XGBOOST_DIR=/opt/xgboost
-export RAPIDS_JAR=${SPARK_XGBOOST_DIR}/rapids-4-spark_2.12-22.10.0.jar
-export SAMPLE_JAR=${SPARK_XGBOOST_DIR}/sample_xgboost_apps-0.2.3-jar-with-dependencies.jar
-```

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_2.12-22.10.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar)
+[rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.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_2.12-22.10.0.jar
+    PLUGIN_JAR=PATH_TO_rapids-4-spark_2.12-22.12.0.jar
 
     jupyter toree install                                \
     --spark_home=${SPARK_HOME}                             \

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_2.12-22.10.0.jar\")\n"
+    "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-22.12.0.jar\")\n"
    ]
   },
   {

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_2.12-22.10.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar)
+[rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.jar)
 
 ### Launch a local mode Spark
 

examples/UDF-Examples/Spark-cuSpatial/README.md

@@ -84,7 +84,7 @@ 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 v22.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar) or above
+   * [Spark RAPIDS JAR v22.12.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.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:

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_2.12-22.10.0.jar,/data/cuspatial_data/jars/spark-cuspatial-22.10.0-SNAPSHOT.jar\")\n",
+    "jarsPath = os.getenv(\"JARS_PATH\", \"/data/cuspatial_data/jars/rapids-4-spark_2.12-22.12.0.jar,/data/cuspatial_data/jars/spark-cuspatial-22.12.0-SNAPSHOT.jar\")\n",
     "spark = SparkSession.builder \\\n",
     "    .config(\"spark.jars\", jarsPath) \\\n",
     "    .config(\"spark.sql.adaptive.enabled\", \"false\") \\\n",

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 22.10.0 using cudf 22.10.0.\n",
+      "2022-11-30 06:57:54,195 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0 using cudf 22.12.0.\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",

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-22.10/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-22.12/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "# ETL + XGBoost train & transform\n",
     "\n",

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-22.10/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-22.12/docs/get-started/xgboost-examples/dataset/mortgage.md) to download the dataset.\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [rapids-4-spark_2.12-22.10.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.10.0/rapids-4-spark_2.12-22.10.0.jar)\n",
+    "* [rapids-4-spark_2.12-22.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/rapids-4-spark_2.12-22.12.0.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_2.12-22.10.0.jar\n",
+    "$ export SPARK_JARS=rapids-4-spark_2.12-22.12.0.jar\n",
     "$ export PYSPARK_DRIVER_PYTHON=jupyter \n",
     "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n",
     "```\n",

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 22.10.0-SNAPSHOT using cudf 22.10.0-SNAPSHOT.\n",
+      "2022-11-25 09:34:58,155 WARN rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0-SNAPSHOT using cudf 22.12.0-SNAPSHOT.\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"

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 22.08.0 using cudf 22.08.0.\n",
+      "22/11/24 06:14:07 WARN com.nvidia.spark.rapids.RapidsPluginUtils: RAPIDS Accelerator 22.12.0 using cudf 22.12.0.\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"