simple test DAG
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#
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# Copyright 2017 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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apiVersion: "sparkoperator.k8s.io/v1beta2"
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kind: SparkApplication
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metadata:
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name: spark-pi
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namespace: spark-jobs
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spec:
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type: Scala
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mode: cluster
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image: "apache/spark:v3.1.3"
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imagePullPolicy: Always
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mainClass: org.apache.spark.examples.SparkPi
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mainApplicationFile: "local:///opt/spark/examples/jars/spark-examples_2.12-3.1.3.jar"
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sparkVersion: "3.1.3"
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restartPolicy:
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type: Never
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volumes:
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- name: "test-volume"
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hostPath:
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path: "/tmp"
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type: Directory
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driver:
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cores: 1
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coreLimit: "1200m"
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memory: "512m"
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labels:
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version: 3.1.3
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serviceAccount: spark
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volumeMounts:
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- name: "test-volume"
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mountPath: "/tmp"
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executor:
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cores: 1
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instances: 1
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memory: "512m"
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labels:
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version: 3.1.3
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volumeMounts:
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- name: "test-volume"
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mountPath: "/tmp"
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@ -11,7 +11,6 @@ import pendulum
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import requests
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from airflow.decorators import dag
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from airflow.decorators import task
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from airflow.models.baseoperator import chain
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from airflow.providers.amazon.aws.hooks.s3 import S3Hook
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from airflow.utils.file import TemporaryDirectory
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@ -49,7 +48,8 @@ def skg_if_pipeline():
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with TemporaryDirectory() as dwl_dir:
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with TemporaryDirectory() as tmp_dir:
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archive = f'{dwl_dir}/{key}'
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hook.download_file(key=key, bucket_name=bucket, local_path=dwl_dir, preserve_file_name=True, use_autogenerated_subdir=False)
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hook.download_file(key=key, bucket_name=bucket, local_path=dwl_dir, preserve_file_name=True,
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use_autogenerated_subdir=False)
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with zipfile.ZipFile(archive, 'r') as zip_ref:
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zip_ref.extractall(tmp_dir)
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@ -58,7 +58,8 @@ def skg_if_pipeline():
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if file == key:
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continue
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local_file_path = os.path.join(root, file)
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hook.load_file(local_file_path, strip_prefix(local_file_path, tmp_dir), S3_BUCKET_NAME, replace=True)
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hook.load_file(local_file_path, strip_prefix(local_file_path, tmp_dir), S3_BUCKET_NAME,
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replace=True)
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return ""
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@task
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@ -90,12 +91,15 @@ def skg_if_pipeline():
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buff = io.BufferedReader(gzipfile)
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for line in buff:
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data = json.loads(line)
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session.post(f'https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/{entity}_index/_doc/' + requests.utils.quote(data['local_identifier'], safe='') + "?refresh=false",
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data=json.dumps(data),
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headers={"Content-Type": "application/json"},
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verify=False)
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session.post(f'https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/{entity}_index/_refresh',
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verify=False)
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session.post(
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f'https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/{entity}_index/_doc/' + requests.utils.quote(
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data['local_identifier'], safe='') + "?refresh=false",
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data=json.dumps(data),
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headers={"Content-Type": "application/json"},
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verify=False)
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session.post(
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f'https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/{entity}_index/_refresh',
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verify=False)
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unzip_to_s3("dump.zip", S3_BUCKET_NAME)
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bulk_load("datasource")
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@ -106,5 +110,5 @@ def skg_if_pipeline():
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bulk_load("topic")
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bulk_load("venues")
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skg_if_pipeline()
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skg_if_pipeline()
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@ -0,0 +1,83 @@
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""
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This is an example DAG which uses SparkKubernetesOperator and SparkKubernetesSensor.
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In this example, we create two tasks which execute sequentially.
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The first task is to submit sparkApplication on Kubernetes cluster(the example uses spark-pi application).
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and the second task is to check the final state of the sparkApplication that submitted in the first state.
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Spark-on-k8s operator is required to be already installed on Kubernetes
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https://github.com/GoogleCloudPlatform/spark-on-k8s-operator
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"""
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from os import path
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from datetime import timedelta, datetime
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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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from airflow import DAG
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# Operators; we need this to operate!
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from airflow.providers.cncf.kubernetes.operators.spark_kubernetes import SparkKubernetesOperator
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from airflow.providers.cncf.kubernetes.sensors.spark_kubernetes import SparkKubernetesSensor
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from airflow.utils.dates import days_ago
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# [END import_module]
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# [START default_args]
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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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default_args = {
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'owner': 'airflow',
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'depends_on_past': False,
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'start_date': days_ago(1),
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'email': ['airflow@example.com'],
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'email_on_failure': False,
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'email_on_retry': False,
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'max_active_runs': 1,
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'retries': 3
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}
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# [END default_args]
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# [START instantiate_dag]
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dag = DAG(
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'spark_pi',
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default_args=default_args,
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schedule_interval=None,
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tags=['example', 'spark']
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)
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submit = SparkKubernetesOperator(
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task_id='spark_pi_submit',
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namespace='spark-jobs',
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application_file="example_spark_kubernetes_operator_pi.yaml",
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kubernetes_conn_id="kubernetes_default",
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do_xcom_push=True,
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dag=dag,
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)
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sensor = SparkKubernetesSensor(
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task_id='spark_pi_monitor',
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namespace='spark-jobs',
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application_name="{{ task_instance.xcom_pull(task_ids='spark_pi_submit')['metadata']['name'] }}",
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kubernetes_conn_id="kubernetes_default",
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dag=dag,
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attach_log=True
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)
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submit >> sensor
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