update doc for rapids v2202 release (#106)

* update databricks init 7.3&9.1 scripts

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

* update release version from 21.12 to 22.02

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

* revert databricks init scripts changes, dont need to remove the xgboost jars in script, we already overwrite them

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

Author: nvliyuan

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

@@ -48,7 +48,7 @@ CUDA 11.0 toolkit on the cluster.  This can be done with the [generate-init-scri
 Spark plugin and the CUDA 11 toolkit. 
     - [Databricks 9.1 LTS
     ML](https://docs.databricks.com/release-notes/runtime/9.1ml.html#system-environment) has CUDA 11
-    installed.  Users will need to use 21.12.0 or later on Databricks 9.1 LTS ML. In this case use
+    installed.  Users will need to use 22.02.0 or later on Databricks 9.1 LTS ML. In this case use
     [generate-init-script.ipynb](generate-init-script.ipynb) which will install
     the RAPIDS Spark plugin.
 2. Once you are in the notebook, click the “Run All” button.

docs/get-started/xgboost-examples/csp/databricks/generate-init-script-7.3.ipynb

@@ -24,8 +24,8 @@
    "source": [
     "%sh\n",
     "cd ../../dbfs/FileStore/jars/\n",
-    "sudo wget -O cudf-21.12.0-cuda11.jar https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.0/cudf-21.12.0-cuda11.jar\n",
-    "sudo wget -O rapids-4-spark_2.12-21.12.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar\n",
+    "sudo wget -O cudf-22.02.0-cuda11.jar https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/cudf-22.02.0-cuda11.jar\n",
+    "sudo wget -O rapids-4-spark_2.12-22.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar\n",
     "sudo wget -O xgboost4j_3.0-1.4.2-0.2.0.jar https://repo1.maven.org/maven2/com/nvidia/xgboost4j_3.0/1.4.2-0.2.0/xgboost4j_3.0-1.4.2-0.2.0.jar\n",
     "sudo wget -O xgboost4j-spark_3.0-1.4.2-0.2.0.jar https://repo1.maven.org/maven2/com/nvidia/xgboost4j-spark_3.0/1.4.2-0.2.0/xgboost4j-spark_3.0-1.4.2-0.2.0.jar\n",
     "ls -ltr\n",
@@ -58,8 +58,8 @@
     "dbutils.fs.put(\"/databricks/init_scripts/init.sh\",\"\"\"\n",
     "#!/bin/bash\n",
     "sudo cp /dbfs/FileStore/jars/xgboost4j_3.0-1.4.2-0.2.0.jar /databricks/jars/spark--maven-trees--ml--7.x--xgboost--ml.dmlc--xgboost4j_2.12--ml.dmlc__xgboost4j_2.12__1.0.0.jar\n",
-    "sudo cp /dbfs/FileStore/jars/cudf-21.12.0-cuda11.jar /databricks/jars/\n",
-    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-21.12.0.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/cudf-22.02.0-cuda11.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.02.0.jar /databricks/jars/\n",
     "sudo cp /dbfs/FileStore/jars/xgboost4j-spark_3.0-1.4.2-0.2.0.jar /databricks/jars/spark--maven-trees--ml--7.x--xgboost--ml.dmlc--xgboost4j-spark_2.12--ml.dmlc__xgboost4j-spark_2.12__1.0.0.jar\n",
     "sudo wget -O /etc/apt/preferences.d/cuda-repository-pin-600 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin\n",
     "sudo wget -O ~/cuda-repo-ubuntu1804-11-0-local_11.0.3-450.51.06-1_amd64.deb https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda-repo-ubuntu1804-11-0-local_11.0.3-450.51.06-1_amd64.deb\n",
@@ -139,7 +139,7 @@
     "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_3.0-1.4.2-0.2.0.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-21.12/examples/Spark-ETL+XGBoost/mortgage/notebooks/python/mortgage-gpu.ipynb`\n",
+    "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.02/examples/Spark-ETL+XGBoost/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

@@ -24,8 +24,8 @@
    "source": [
     "%sh\n",
     "cd ../../dbfs/FileStore/jars/\n",
-    "sudo wget -O cudf-21.12.0-cuda11.jar https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.0/cudf-21.12.0-cuda11.jar\n",
-    "sudo wget -O rapids-4-spark_2.12-21.12.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar\n",
+    "sudo wget -O cudf-22.02.0-cuda11.jar https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/cudf-22.02.0-cuda11.jar\n",
+    "sudo wget -O rapids-4-spark_2.12-22.02.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar\n",
     "sudo wget -O xgboost4j_3.0-1.4.2-0.2.0.jar https://repo1.maven.org/maven2/com/nvidia/xgboost4j_3.0/1.4.2-0.2.0/xgboost4j_3.0-1.4.2-0.2.0.jar\n",
     "sudo wget -O xgboost4j-spark_3.0-1.4.2-0.2.0.jar https://repo1.maven.org/maven2/com/nvidia/xgboost4j-spark_3.0/1.4.2-0.2.0/xgboost4j-spark_3.0-1.4.2-0.2.0.jar\n",
     "ls -ltr\n",
@@ -58,8 +58,8 @@
     "dbutils.fs.put(\"/databricks/init_scripts/init.sh\",\"\"\"\n",
     "#!/bin/bash\n",
     "sudo cp /dbfs/FileStore/jars/xgboost4j_3.0-1.4.2-0.2.0.jar /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 cp /dbfs/FileStore/jars/cudf-21.12.0-cuda11.jar /databricks/jars/\n",
-    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-21.12.0.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/cudf-22.02.0-cuda11.jar /databricks/jars/\n",
+    "sudo cp /dbfs/FileStore/jars/rapids-4-spark_2.12-22.02.0.jar /databricks/jars/\n",
     "sudo cp /dbfs/FileStore/jars/xgboost4j-spark_3.0-1.4.2-0.2.0.jar /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\"\"\", True)"
    ]
   },
@@ -132,7 +132,7 @@
     "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_3.0-1.4.2-0.2.0.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-21.12/examples/Spark-ETL+XGBoost/mortgage/notebooks/python/mortgage-gpu.ipynb`\n",
+    "4. Import the mortgage example notebook from `https://github.com/NVIDIA/spark-rapids-examples/blob/branch-22.02/examples/Spark-ETL+XGBoost/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/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-21.12/dockerfile/Dockerfile
+wget https://github.com/NVIDIA/spark-rapids-examples/raw/branch-22.02/dockerfile/Dockerfile
 
 # Optionally install additional jars into ${SPARK_HOME}/jars/
 

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

@@ -9,11 +9,11 @@ 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_3.0/1.4.2-0.2.0/)
 
 2. Download the RAPIDS Accelerator for Apache Spark plugin jar
-   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)
+   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar)
 
    Then download the version of the cudf jar that your version of the accelerator depends on.
 
-     * [cuDF Package](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.2/cudf-21.12.2-cuda11.jar)
+     * [cuDF Package](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/cudf-22.02.0-cuda11.jar)
 
 ### Build XGBoost Python Examples
 
@@ -29,8 +29,8 @@ You need to download Mortgage dataset to `/opt/xgboost` from this [site](https:/
 
 ``` bash
 export SPARK_XGBOOST_DIR=/opt/xgboost
-export CUDF_JAR=${SPARK_XGBOOST_DIR}/cudf-21.12.2-cuda11.jar
-export RAPIDS_JAR=${SPARK_XGBOOST_DIR}/rapids-4-spark_2.12-21.12.0.jar
+export CUDF_JAR=${SPARK_XGBOOST_DIR}/cudf-22.02.0-cuda11.jar
+export RAPIDS_JAR=${SPARK_XGBOOST_DIR}/rapids-4-spark_2.12-22.02.0.jar
 export XGBOOST4J_JAR=${SPARK_XGBOOST_DIR}/xgboost4j_3.0-1.4.2-0.2.0.jar
 export XGBOOST4J_SPARK_JAR=${SPARK_XGBOOST_DIR}/xgboost4j-spark_3.0-1.4.2-0.2.0.jar
 export SAMPLE_ZIP=${SPARK_XGBOOST_DIR}/samples.zip

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

@@ -5,11 +5,11 @@ 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_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)
+   * [RAPIDS Spark Package](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar)
 
    Then download the version of the cudf jar that your version of the accelerator depends on.
 
-     * [cuDF Package](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.2/cudf-21.12.2-cuda11.jar)
+     * [cuDF Package](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/cudf-22.02.0-cuda11.jar)
 
 ### Build XGBoost Scala Examples
 
@@ -25,7 +25,7 @@ You need to download mortgage dataset to `/opt/xgboost` from this [site](https:/
 
 ``` bash
 export SPARK_XGBOOST_DIR=/opt/xgboost
-export CUDF_JAR=${SPARK_XGBOOST_DIR}/cudf-21.12.2-cuda11.jar
-export RAPIDS_JAR=${SPARK_XGBOOST_DIR}/rapids-4-spark_2.12-21.12.0.jar
+export CUDF_JAR=${SPARK_XGBOOST_DIR}/cudf-22.02.0-cuda11.jar
+export RAPIDS_JAR=${SPARK_XGBOOST_DIR}/rapids-4-spark_2.12-22.02.0.jar
 export SAMPLE_JAR=${SPARK_XGBOOST_DIR}/sample_xgboost_apps-0.2.2-jar-with-dependencies.jar
 ```

examples/Spark-ETL+XGBoost/mortgage/notebooks/python/MortgageETL.ipynb

@@ -9,16 +9,16 @@
     "All data could be found at https://docs.rapids.ai/datasets/mortgage-data\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [cudf-21.12.2-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.0/)\n",
-    "* [rapids-4-spark_2.12-21.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)\n",
+    "* [cudf-22.02.0-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/)\n",
+    "* [rapids-4-spark_2.12-22.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.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=cudf-21.12.2-cuda11.jar,rapids-4-spark_2.12-21.12.0.jar\n",
+    "$ export SPARK_JARS=cudf-22.02.0-cuda11.jar,rapids-4-spark_2.12-22.02.0.jar\n",
     "$ export PYSPARK_DRIVER_PYTHON=jupyter \n",
     "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n",
     "```\n",

examples/Spark-ETL+XGBoost/mortgage/notebooks/scala/mortgage-ETL.ipynb

@@ -19,15 +19,15 @@
     "All data could be found at https://docs.rapids.ai/datasets/mortgage-data\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [cudf-21.12.2-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.2/)\n",
-    "* [rapids-4-spark_2.12-21.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)\n",
+    "* [cudf-22.02.0-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/)\n",
+    "* [rapids-4-spark_2.12-22.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.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=cudf-21.12.2-cuda11.jar,rapids-4-spark_2.12-21.12.0.jar\n",
+    "$ export SPARK_JARS=cudf-22.02.0-cuda11.jar,rapids-4-spark_2.12-22.02.0.jar\n",
     "\n",
     "```\n",
     "\n",

examples/Spark-ETL+XGBoost/mortgage/notebooks/scala/mortgage_gpu_crossvalidation.ipynb

@@ -160,10 +160,10 @@
     "```scala\n",
     "import org.apache.spark.sql.SparkSession\n",
     "val spark = SparkSession.builder().appName(\"Taxi-GPU\").getOrCreate\n",
-    "%AddJar file:/data/libs/cudf-21.12.2-cuda11.jar\n",
+    "%AddJar file:/data/libs/cudf-22.02.0-cuda11.jar\n",
     "%AddJar file:/data/libs/xgboost4j_3.0-1.4.2-0.2.0.jar\n",
     "%AddJar file:/data/libs/xgboost4j-spark_3.0-1.4.2-0.2.0.jar\n",
-    "%AddJar file:/data/libs/rapids-4-spark_2.12-21.12.0.jar\n",
+    "%AddJar file:/data/libs/rapids-4-spark_2.12-22.02.0.jar\n",
     "// ...\n",
     "```"
    ]

examples/Spark-ETL+XGBoost/taxi/notebooks/python/taxi-ETL.ipynb

@@ -19,15 +19,15 @@
     "All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [cudf-21.12.2-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.2/)\n",
-    "* [rapids-4-spark_2.12-21.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)\n",
+    "* [cudf-22.02.0-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/)\n",
+    "* [rapids-4-spark_2.12-22.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.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=cudf-21.12.2-cuda11.jar,rapids-4-spark_2.12-21.12.0.jar\n",
+    "$ export SPARK_JARS=cudf-22.02.0-cuda11.jar,rapids-4-spark_2.12-22.02.0.jar\n",
     "$ export PYSPARK_DRIVER_PYTHON=jupyter \n",
     "$ export PYSPARK_DRIVER_PYTHON_OPTS=notebook\n",
     "```\n",

examples/Spark-ETL+XGBoost/taxi/notebooks/scala/taxi-ETL.ipynb

@@ -19,15 +19,15 @@
     "All data could be found at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page\n",
     "\n",
     "### 2. Download needed jars\n",
-    "* [cudf-21.12.2-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.2/)\n",
-    "* [rapids-4-spark_2.12-21.12.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)\n",
+    "* [cudf-22.02.0-cuda11.jar](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/)\n",
+    "* [rapids-4-spark_2.12-22.02.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.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=cudf-21.12.2-cuda11.jar,rapids-4-spark_2.12-21.12.0.jar\n",
+    "$ export SPARK_JARS=cudf-22.02.0-cuda11.jar,rapids-4-spark_2.12-22.02.0.jar\n",
     "\n",
     "```\n",
     "\n",

examples/Spark-ETL+XGBoost/taxi/notebooks/scala/taxi_gpu_crossvalidation.ipynb

@@ -150,10 +150,10 @@
     "```scala\n",
     "import org.apache.spark.sql.SparkSession\n",
     "val spark = SparkSession.builder().appName(\"Taxi-GPU\").getOrCreate\n",
-    "%AddJar file:/data/libs/cudf-21.12.2-cuda11.jar\n",
+    "%AddJar file:/data/libs/cudf-22.02.0-cuda11.jar\n",
     "%AddJar file:/data/libs/xgboost4j_3.0-1.4.2-0.2.0.jar\n",
     "%AddJar file:/data/libs/xgboost4j-spark_3.0-1.4.2-0.2.0.jar\n",
-    "%AddJar file:/data/libs/rapids-4-spark-21.12.0.jar\n",
+    "%AddJar file:/data/libs/rapids-4-spark-22.02.0.jar\n",
     "// ...\n",
     "```"
    ]

examples/Spark-cuML/pca/spark-submit.sh

@@ -15,9 +15,9 @@
 # limitations under the License.
 #
 
-ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/21.12.0-SNAPSHOT/rapids-4-spark-ml_2.12-21.12.0-SNAPSHOT.jar
-CUDF_JAR=/root/.m2/repository/ai/rapids/cudf/21.12.0-SNAPSHOT/cudf-21.12.0-SNAPSHOT-cuda11.jar
-PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/21.12.0-SNAPSHOT/rapids-4-spark_2.12-21.12.0-SNAPSHOT.jar
+ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/22.02.0-SNAPSHOT/rapids-4-spark-ml_2.12-22.02.0-SNAPSHOT.jar
+CUDF_JAR=/root/.m2/repository/ai/rapids/cudf/22.02.0-SNAPSHOT/cudf-22.02.0-SNAPSHOT-cuda11.jar
+PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/22.02.0-SNAPSHOT/rapids-4-spark_2.12-22.02.0-SNAPSHOT.jar
 
 $SPARK_HOME/bin/spark-submit \
 --master spark://127.0.0.1:7077  \
@@ -39,4 +39,4 @@ $SPARK_HOME/bin/spark-submit \
 --conf spark.network.timeout=1000s \
 --jars $ML_JAR,$CUDF_JAR,$PLUGIN_JAR \
 --class com.nvidia.spark.examples.pca.Main \
-/workspace/target/PCAExample-21.12.0-SNAPSHOT.jar
+/workspace/target/PCAExample-22.02.0-SNAPSHOT.jar

examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb

@@ -22,8 +22,8 @@
     "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",
-    "CUDF_JAR = os.getenv(\"CUDF_JAR\", \"/your-path/cudf-21.12.2-cuda11.jar\")\n",
-    "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-21.12.0.jar\")\n"
+    "CUDF_JAR = os.getenv(\"CUDF_JAR\", \"/your-path/cudf-22.02.0-cuda11.jar\")\n",
+    "RAPIDS_JAR = os.getenv(\"RAPIDS_JAR\", \"/your-path/rapids-4-spark_2.12-22.02.0.jar\")\n"
    ]
   },
   {