fixed import
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Sandro La Bruzzo
parent
dcd2efd3b4
commit
d1afcd4395
1
main.tf
1
main.tf
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@ -19,5 +19,6 @@ module "airflow" {
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s3_key = var.s3_key
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s3_key = var.s3_key
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s3_secret = var.s3_secret
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s3_secret = var.s3_secret
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branch_name = var.dag_branch_name
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branch_name = var.dag_branch_name
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dag_path= var.dag_path_name
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}
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}
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@ -58,3 +58,7 @@ variable "dag_branch_name" {
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default = "master"
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default = "master"
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}
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}
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variable "dag_path_name" {
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default = "workflow/dnet"
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}
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@ -27,7 +27,7 @@ https://github.com/GoogleCloudPlatform/spark-on-k8s-operator
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from os import path
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from os import path
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from datetime import timedelta, datetime
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from datetime import timedelta, datetime
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from workflow.dnet.spark_configurator import SparkConfigurator
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# from workflow.dnet.spark_configurator import SparkConfigurator
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# [START import_module]
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# [START import_module]
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# The DAG object; we'll need this to instantiate a DAG
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# The DAG object; we'll need this to instantiate a DAG
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@ -40,6 +40,128 @@ from airflow.utils.dates import days_ago
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# [END import_module]
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# [END import_module]
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class SparkConfigurator:
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def __init__(self,
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name,
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mainClass,
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jarLocation:str,
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arguments,
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apiVersion=None,
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namespace="dnet-spark-jobs",
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image= "dnet-spark:1.0.0",
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driver_cores=1,
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driver_memory='1G',
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executor_cores=1,
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executor_memory="1G",
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executor_memoryOverhead= "1G",
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executor_instances=1
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) -> None:
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if apiVersion:
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self.apiVersion = apiVersion
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else:
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self.apiVersion = "sparkoperator.k8s.io/v1beta2"
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self.namespace= namespace
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self.name = name
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self.image= image
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self.mainClass = mainClass
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self.jarLocation = jarLocation
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self.arguments= arguments
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self.s3Configuration = {
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"spark.driver.extraJavaOptions": "-Divy.cache.dir=/tmp -Dcom.amazonaws.sdk.disableCertChecking=true -Dcom.cloudera.com.amazonaws.sdk.disableCertChecking=true",
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"spark.executor.extraJavaOptions": "-Divy.cache.dir=/tmp -Dcom.amazonaws.sdk.disableCertChecking=true -Dcom.cloudera.com.amazonaws.sdk.disableCertChecking=true",
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"spark.hadoop.fs.defaultFS": "s3a://spark",
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"spark.hadoop.fs.s3a.access.key": "minio",
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"spark.hadoop.fs.s3a.secret.key": "minio123",
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"spark.hadoop.fs.s3a.endpoint": "https://minio.dnet-minio-tenant.svc.cluster.local",
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"spark.hadoop.fs.s3a.impl": "org.apache.hadoop.fs.s3a.S3AFileSystem",
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"spark.hadoop.fs.s3a.path.style.access": "true",
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"spark.hadoop.fs.s3a.attempts.maximum": "1",
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"spark.hadoop.fs.s3a.connection.establish.timeout": "5000",
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"spark.hadoop.fs.s3a.connection.timeout": "10001",
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"spark.hadoop.fs.s3a.connection.ssl.enabled": "false",
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"com.amazonaws.sdk.disableCertChecking": "true",
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"com.cloudera.com.amazonaws.sdk.disableCertChecking": "true",
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"fs.s3a.connection.ssl.strictverify": "false",
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"fs.s3a.connection.ssl.enabled": "false",
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"fs.s3a.ssl.enabled": "false",
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"spark.hadoop.fs.s3a.ssl.enabled": "false"
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}
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self.sparkResoruceConf= {
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'driver_cores':driver_cores,
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'driver_memory':driver_memory,
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'executor_cores':executor_cores,
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'executor_memory':executor_memory,
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'executor_instances':executor_instances,
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'memoryOverhead':executor_memoryOverhead
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}
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def get_configuration(self) -> dict:
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return {
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"apiVersion": self.apiVersion,
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"kind": "SparkApplication",
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"metadata": {
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"name": self.name,
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"namespace": self.namespace
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},
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"spec": {
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"type": "Scala",
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"mode": "cluster",
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"image":self.image,
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"imagePullPolicy": "IfNotPresent",
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"mainClass": self.mainClass,
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"mainApplicationFile": self.jarLocation,
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"arguments": self.arguments,
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"sparkVersion": "3.5.1",
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"sparkConf": self.s3Configuration,
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"restartPolicy": {
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"type": "Never"
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},
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"volumes": [
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{
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"name": "test-volume",
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"persistentVolumeClaim": {
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"claimName": "my-spark-pvc-tmp"
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}
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}
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],
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"driver": {
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"javaOptions": "-Dcom.amazonaws.sdk.disableCertChecking=true -Dcom.cloudera.com.amazonaws.sdk.disableCertChecking=true",
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"cores": self.sparkResoruceConf['driver_cores'],
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"coreLimit": "1200m",
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"memory": self.sparkResoruceConf['driver_memory'],
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"labels": {
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"version": "3.5.1"
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},
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"serviceAccount": "spark",
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"volumeMounts": [
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{
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"name": "test-volume",
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"mountPath": "/tmp"
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}
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]
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},
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"executor": {
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"javaOptions": "-Dcom.amazonaws.sdk.disableCertChecking=true -Dcom.cloudera.com.amazonaws.sdk.disableCertChecking=true",
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"cores": self.sparkResoruceConf['executor_cores'],
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"memoryOverhead": self.sparkResoruceConf['memoryOverhead'],
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"memory": self.sparkResoruceConf['executor_memory'],
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"instances": self.sparkResoruceConf['executor_instances'],
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"labels": {
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"version": "3.5.1"
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},
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"volumeMounts": [
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{
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"name": "test-volume",
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"mountPath": "/tmp"
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}
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]
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}
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}
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}
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# [START default_args]
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# [START default_args]
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# These args will get passed on to each operator
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# These args will get passed on to each operator
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# You can override them on a per-task basis during operator initialization
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# You can override them on a per-task basis during operator initialization
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