Update RAPIDS accelerated UDF Dockerfile to better match spark-rapids-jni

examples/UDF-Examples/RAPIDS-accelerated-UDFs/Dockerfile

@@ -16,72 +16,54 @@
 
 # A container that can be used to build UDF native code against libcudf
 ARG CUDA_VERSION=11.8.0
-ARG LINUX_VERSION=ubuntu18.04
+ARG LINUX_VERSION=rockylinux8
 
 FROM nvidia/cuda:${CUDA_VERSION}-devel-${LINUX_VERSION}
 
-ARG DEBIAN_FRONTEND=noninteractive
+ARG TOOLSET_VERSION=11
+ENV TOOLSET_VERSION=11
 ARG PARALLEL_LEVEL=10
 ENV PARALLEL_LEVEL=10
 
-RUN GCC_VERSION=$(bash -c '\
-CUDA_VERSION=$(nvcc --version | head -n4 | tail -n1 | cut -d" " -f5 | cut -d"," -f1); \
-CUDA_VERSION_MAJOR=$(echo $CUDA_VERSION | tr -d '.' | cut -c 1-2); \
-CUDA_VERSION_MINOR=$(echo $CUDA_VERSION | tr -d '.' | cut -c 3); \
-  if [[ "$CUDA_VERSION_MAJOR" == 9 ]]; then echo "7"; \
-  elif [[ "$CUDA_VERSION_MAJOR" == 10 ]]; then echo "8"; \
-  elif [[ "$CUDA_VERSION_MAJOR" == 11 ]]; then echo "9"; \
-  else echo "10"; \
-  fi') \
-&& apt update -y \
-&& apt install -y software-properties-common \
-&& add-apt-repository -y ppa:git-core/ppa \
-&& add-apt-repository -y ppa:ubuntu-toolchain-r/test \
-&& add-apt-repository ppa:deadsnakes/ppa \
-&& apt update -y \
-&& apt install -y \
-   build-essential git rsync wget \
-   gcc-${GCC_VERSION} g++-${GCC_VERSION} \
-   openjdk-8-jdk maven tzdata \
-   # CMake dependencies
-   curl libssl-dev libcurl4-openssl-dev zlib1g-dev \
-&& apt autoremove -y \
-&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* \
-&& update-alternatives \
-   --install /usr/bin/gcc gcc /usr/bin/gcc-${GCC_VERSION} 100 \
-&& update-alternatives \
-   --install /usr/bin/g++ g++ /usr/bin/g++-${GCC_VERSION} 100 \
-# Set gcc-${GCC_VERSION} as the default gcc
-&& update-alternatives --set gcc /usr/bin/gcc-${GCC_VERSION}  \
-# Set gcc-${GCC_VERSION} as the default g++
-&& update-alternatives --set g++ /usr/bin/g++-${GCC_VERSION}  \
-# Set JDK8 as the default Java
-&& update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
+### Install basic requirements
+RUN dnf --enablerepo=powertools install -y \
+  gcc-toolset-${TOOLSET_VERSION} \
+  git \
+  java-1.8.0-openjdk \
+  maven \
+  ninja-build \
+  patch \
+  python39 \
+  scl-utils \
+  tar \
+  wget \
+  zlib-devel \
+  && alternatives --set python /usr/bin/python3
 
+# 3.22.3: CUDA architecture 'native' support + flexible CMAKE_<LANG>_*_LAUNCHER for ccache
 ARG CMAKE_VERSION=3.26.4
+# default x86_64 from x86 build, aarch64 cmake for arm build
+ARG CMAKE_ARCH=x86_64
+RUN cd /usr/local && wget --quiet https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-${CMAKE_ARCH}.tar.gz && \
+   tar zxf cmake-${CMAKE_VERSION}-linux-${CMAKE_ARCH}.tar.gz && \
+   rm cmake-${CMAKE_VERSION}-linux-${CMAKE_ARCH}.tar.gz
+ENV PATH /usr/local/cmake-${CMAKE_VERSION}-linux-${CMAKE_ARCH}/bin:$PATH
 
-# Install CMake
-RUN cd /tmp \
- && curl -fsSLO --compressed "https://github.com/Kitware/CMake/releases/download/v$CMAKE_VERSION/cmake-$CMAKE_VERSION.tar.gz" -o /tmp/cmake-$CMAKE_VERSION.tar.gz \
- && tar -xvzf /tmp/cmake-$CMAKE_VERSION.tar.gz && cd /tmp/cmake-$CMAKE_VERSION \
- && /tmp/cmake-$CMAKE_VERSION/bootstrap \
-    --system-curl \
-    --parallel=${PARALLEL_LEVEL} \
- && make install -j${PARALLEL_LEVEL} \
- && cd /tmp && rm -rf /tmp/cmake-$CMAKE_VERSION*
-
-# Install ccache
+# ccache for interactive builds
 ARG CCACHE_VERSION=4.6
 RUN cd /tmp && wget --quiet https://github.com/ccache/ccache/releases/download/v${CCACHE_VERSION}/ccache-${CCACHE_VERSION}.tar.gz && \
-  tar zxf ccache-${CCACHE_VERSION}.tar.gz && \
-  rm ccache-${CCACHE_VERSION}.tar.gz && \
-  cd ccache-${CCACHE_VERSION} && \
-  mkdir build && \
-  cd build && \
-  cmake .. \
-    -DCMAKE_BUILD_TYPE=Release \
-    -DZSTD_FROM_INTERNET=ON \
-    -DREDIS_STORAGE_BACKEND=OFF && \
-  cmake --build . --parallel ${PARALLEL_LEVEL} --target install && \
-  cd ../.. && \
-  rm -rf ccache-${CCACHE_VERSION}
+   tar zxf ccache-${CCACHE_VERSION}.tar.gz && \
+   rm ccache-${CCACHE_VERSION}.tar.gz && \
+   cd ccache-${CCACHE_VERSION} && \
+   mkdir build && \
+   cd build && \
+   scl enable gcc-toolset-${TOOLSET_VERSION} \
+      "cmake .. \
+         -DCMAKE_BUILD_TYPE=Release \
+         -DZSTD_FROM_INTERNET=ON \
+         -DREDIS_STORAGE_BACKEND=OFF && \
+      cmake --build . --parallel ${PARALLEL_LEVEL} --target install" && \
+   cd ../.. && \
+   rm -rf ccache-${CCACHE_VERSION}
+
+ENTRYPOINT /usr/bin/scl enable gcc-toolset-${TOOLSET_VERSION} -- bash

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

@@ -122,8 +122,8 @@ Run the following commands to build and start a docker
 
 ```bash
 cd spark-rapids-examples/examples/UDF-Examples/RAPIDS-accelerated-UDFs
-docker build -t my-local:my-udf-example-ubuntu .
-nvidia-docker run -it my-local:my-udf-example-ubuntu
+docker build -t my-local:my-udf-example .
+nvidia-docker run -it my-local:my-udf-example
 ```
 
 ### Build the udf-examples jar
@@ -139,7 +139,7 @@ export CCACHE_DIR="$LOCAL_CCACHE_DIR"
 export CMAKE_C_COMPILER_LAUNCHER="ccache"
 export CMAKE_CXX_COMPILER_LAUNCHER="ccache"
 export CMAKE_CUDA_COMPILER_LAUNCHER="ccache"
-export CMAKE_CXX_LINKER_LAUNCHER="ccache
+export CMAKE_CXX_LINKER_LAUNCHER="ccache"
 mvn clean package -Pudf-native-examples
 ```
 
@@ -206,9 +206,9 @@ $SPARK_HOME/bin/pyspark --master local[*] \
 
 ### Test native based UDF
 
-Input the following commands to test wordcount JIN UDF
+Input the following commands to test wordcount JNI UDF
 
-```bash
+```python
 from pyspark.sql.types import *
 schema = StructType([
     StructField("c1", StringType()),