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Update Outdated GCP getting started guide[skip ci] #5266

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merged 4 commits into from
Apr 24, 2022
Merged

Update Outdated GCP getting started guide[skip ci] #5266

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b19154e
plugin version is out of date, update the versions and remove some co…
nvliyuan Apr 18, 2022
5ed3ec1
test markdown check issue
nvliyuan Apr 18, 2022
130d5a5
revert markdown links checker changes
nvliyuan Apr 18, 2022
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update copyright
nvliyuan Apr 21, 2022
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22 changes: 4 additions & 18 deletions docs/get-started/gpu_dataproc_packages_ubuntu_sample.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -126,12 +126,11 @@ function configure_gpu_isolation() {
chmod a+rwx -R /sys/fs/cgroup/devices
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}

readonly RAPIDS_VERSION="0.19"
readonly DEFAULT_SPARK_RAPIDS_VERSION="0.5.0"
readonly DEFAULT_SPARK_RAPIDS_VERSION="22.02.0"
readonly DEFAULT_CUDA_VERSION="11.0"
readonly DEFAULT_CUDF_VERSION="0.19.2"
readonly DEFAULT_XGBOOST_VERSION="1.3.0"
readonly DEFAULT_XGBOOST_GPU_SUB_VERSION="0.1.0"
readonly DEFAULT_CUDF_VERSION="22.02.0"
readonly DEFAULT_XGBOOST_VERSION="1.4.2"
readonly DEFAULT_XGBOOST_GPU_SUB_VERSION="0.2.0"
readonly SPARK_VERSION="3.0"

readonly CUDF_VERSION=${DEFAULT_CUDF_VERSION}
Expand Down Expand Up @@ -168,23 +167,10 @@ function configure_spark() {
# query explain output won't show GPU operator, if user have doubt
# they can uncomment the line before to see the GPU plan explan, but AQE on give user the best performance.
# spark.sql.adaptive.enabled=false
spark.rapids.sql.concurrentGpuTasks=2
spark.executor.resource.gpu.amount=1
spark.executor.cores=4
spark.executor.memory=8G
spark.task.cpus=1
spark.task.resource.gpu.amount=0.25
spark.rapids.memory.pinnedPool.size=2G
spark.executor.memoryOverhead=2G
spark.plugins=com.nvidia.spark.SQLPlugin
spark.executor.extraJavaOptions='-Dai.rapids.cudf.prefer-pinned=true'
spark.locality.wait=0s
spark.executor.resource.gpu.discoveryScript=/usr/lib/spark/scripts/gpu/getGpusResources.sh
spark.sql.shuffle.partitions=48
spark.sql.files.maxPartitionBytes=512m
spark.submit.pyFiles=/usr/lib/spark/jars/xgboost4j-spark_${SPARK_VERSION}-${XGBOOST_VERSION}-${XGBOOST_GPU_SUB_VERSION}.jar
spark.dynamicAllocation.enabled=false
spark.shuffle.service.enabled=false
###### END : RAPIDS properties for Spark ${SPARK_VERSION} ######
EOF
}
Expand Down