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[FEA] Support Databricks 7.3 LTS Runtime (NVIDIA#1076)
* Add databricks 301 shim layer * copy rest of 300db files * update to build databricks 300 and 301 separately * update profile name * Fix missing include * fixes * changes * Fixes * databricks changes 3.0.1 * Fix broadcast like * Fix broadcast hash join to be a "like" one * remove functions in the 301 base class * Update build scripts to use more from mvn properties * Fix order of variables * comment out slck for now * Fix missing variables * update docs and build args * use quotes for profeiles * python escape Signed-off-by: Thomas Graves <tgraves@nvidia.com> * remove %q * debug * Fix maven location install * rearrange * Fix version parameter * add bck shutdown * increase timeout * update deploy script * fix comment * fix deploy dir * update * add back in tests * minor updates * put slack back * Upmerge, fix copyright, and remove extra import * cleanup imports Signed-off-by: Thomas Graves <tgraves@nvidia.com> * remove a couple more imports * remove ZoneId import Signed-off-by: Thomas Graves <tgraves@nvidia.com> * upmerge to the latest changes to GpuHashJoin * Add fail on error for version file generation * revert fail on error in pom file
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,116 @@ | ||
| #!/usr/local/env groovy | ||
| /* | ||
| * Copyright (c) 2020, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| /** | ||
| * | ||
| * Jenkinsfile for building rapids-plugin on Databricks based on Spark 3.0.1 | ||
| * | ||
| */ | ||
| @Library(['shared-libs', 'spark-jenkins-shared-lib']) _ | ||
|
|
||
| def urmUrl="https://${ArtifactoryConstants.ARTIFACTORY_NAME}/artifactory/sw-spark-maven" | ||
|
|
||
| pipeline { | ||
| agent { | ||
| docker { | ||
| label 'docker-gpu' | ||
| image "${ArtifactoryConstants.ARTIFACTORY_NAME}/sw-spark-docker/plugin:dev-ubuntu16-cuda10.1" | ||
| args '--runtime=nvidia -v ${HOME}/.m2:${HOME}/.m2:rw \ | ||
| -v ${HOME}/.zinc:${HOME}/.zinc:rw' | ||
| } | ||
| } | ||
|
|
||
| options { | ||
| ansiColor('xterm') | ||
| // timeout doesn't seem to work with environment variables so make sure to update below | ||
| // IDLE_TIMEOUT config as well | ||
| timeout(time: 240, unit: 'MINUTES') | ||
| buildDiscarder(logRotator(numToKeepStr: '10')) | ||
| } | ||
|
|
||
| parameters { | ||
| choice(name: 'DEPLOY_TO', choices: ['Urm', 'Local'], | ||
| description: 'Where to deploy artifacts to') | ||
| string(name: 'RUNTIME', | ||
| defaultValue: '7.3.x-gpu-ml-scala2.12', description: 'databricks runtime') | ||
| string(name: 'PUBLIC_KEY', | ||
| defaultValue: '\"ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDB+ValakyoKn7w+iBRoAi1KlLVH4yVmRXhLCZs1qUECBAhbck2o8Lgjp5wJ+epdT3+EAP2+t/zlK1mU9tTylidapR4fZuIk9ApoQSLOUEXcUtHkPpZulIoGAq78HoyiEs1sKovc6ULvpymjdnQ3ogCZlTlP9uqmL2E4kbtrNCNL0SVj/w10AqzrJ5lqQgO5dIdDRMHW2sv88JI1VLlfiSsofa9RdI7hDRuCnfZ0+dv2URJGGzGt2BkdEmk9t5F1BMpuXvZ8HzOYdACzw0U+THBOk9d4CACUYMyO1XqlXwoYweNKRnigXDCRaTWGFBzTkugRuW/BZBccTR1ON430uRB svcngcc@nvidia.com\"', description: 'public key') | ||
| string(name: 'REF', defaultValue: 'branch-0.3', description: 'Commit to build') | ||
| string(name: 'BASE_SPARK_VERSION', | ||
| defaultValue: '3.0.1', description: 'Databricks base Spark version') | ||
| string(name: 'BUILD_PROFILES', | ||
| defaultValue: 'databricks301,!snapshot-shims', description: 'the mvn build profiles to use when building Databricks') | ||
| } | ||
|
|
||
| environment { | ||
| IDLE_TIMEOUT = 240 | ||
| JENKINS_ROOT = 'jenkins' | ||
| MVN_URM_MIRROR='-s jenkins/settings.xml -P mirror-apache-to-urm' | ||
| LIBCUDF_KERNEL_CACHE_PATH='/tmp' | ||
| URM_CREDS = credentials("svcngcc_artifactory") | ||
| DATABRICKS_TOKEN = credentials("SPARK_DATABRICKS_TOKEN") | ||
| URM_URL = "${urmUrl}" | ||
| } | ||
|
|
||
| triggers { | ||
| cron('H 5 * * *') | ||
| } | ||
|
|
||
| stages { | ||
| stage('Ubuntu16 CUDA10.1') { | ||
| steps { | ||
| script { | ||
| sshagent(credentials : ['svcngcc_pubpriv']) { | ||
| sh "rm -rf spark-rapids-ci.tgz" | ||
| sh "tar -zcvf spark-rapids-ci.tgz *" | ||
| env.CLUSTERID = sh ( | ||
| script: "python3.6 ./jenkins/databricks/create.py -t $DATABRICKS_TOKEN -k $PUBLIC_KEY -r $RUNTIME -i $IDLE_TIMEOUT -n CI-GPU-databricks-${BASE_SPARK_VERSION}", | ||
| returnStdout: true | ||
| ).trim() | ||
| sh "python3.6 ./jenkins/databricks/run-tests.py -c ${env.CLUSTERID} -z ./spark-rapids-ci.tgz -t $DATABRICKS_TOKEN -p /home/svcngcc/.ssh/id_rsa -l ./jenkins/databricks/build.sh -v $BASE_SPARK_VERSION -b $BUILD_PROFILES" | ||
| sh "./jenkins/databricks/deploy.sh" | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } // end of stages | ||
| post { | ||
| always { | ||
| script { | ||
| sh "python3.6 ./jenkins/databricks/shutdown.py -c ${env.CLUSTERID} -t $DATABRICKS_TOKEN -d || true" | ||
| if (currentBuild.currentResult == "SUCCESS") { | ||
| slack("#swrapids-spark-cicd", "Success", color: "#33CC33") | ||
| } else { | ||
| slack("#swrapids-spark-cicd", "Failed", color: "#FF0000") | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } // end of pipeline | ||
|
|
||
| void slack(Map params = [:], String channel, String message) { | ||
| Map defaultParams = [ | ||
| color: "#000000", | ||
| baseUrl: "${SparkConstants.SLACK_API_ENDPOINT}", | ||
| tokenCredentialId: "slack_token" | ||
| ] | ||
|
|
||
| params["channel"] = channel | ||
| params["message"] = "${BUILD_URL}\n" + message | ||
|
|
||
| slackSend(defaultParams << params) | ||
| } |
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