{"id":9304,"date":"2021-05-31T05:31:21","date_gmt":"2021-05-31T05:31:21","guid":{"rendered":"https:\/\/prwatech.in\/blog\/?p=9304"},"modified":"2024-03-19T09:35:01","modified_gmt":"2024-03-19T09:35:01","slug":"working-with-composer-using-airflow","status":"publish","type":"post","link":"https:\/\/prwatech.in\/blog\/google-cloud-platform\/bigquery\/working-with-composer-using-airflow\/","title":{"rendered":"Working with composer using airflow"},"content":{"rendered":"\r\n

Cloud Composer and Airflow Integration<\/span><\/h2>\r\n

Prerequisites<\/strong><\/p>\r\n\r\n\r\n\r\n

GCP<\/a> account<\/p>\r\n\r\n\r\n\r\n

Open Console<\/p>\r\n\r\n\r\n\r\n

Open Menu > Cloud Storage > Browser<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Click on Create Bucket<\/a><\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Create one bucket with same name as the project ID. Click create<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

The bucket will be created.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

In Composer<\/a>, Click on Airflow<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Choose the login<\/p>\r\n\r\n\r\n\r\n

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DAG Airflow will be opened.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Go to Menu > Kubernetes Engine <\/a>> Clusters<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

The cluster has been created.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

In Airflow, Go to Admin > Variables<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Click on Create.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Key\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Val<\/strong><\/p>\r\n\r\n\r\n\r\n

gcp_project\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 <project-ID><\/p>\r\n\r\n\r\n\r\n

gcs_bucket\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 gs:\/\/<bucket-name><\/p>\r\n\r\n\r\n\r\n

gce_zone\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 <zone of cluster><\/p>\r\n\r\n\r\n\r\n

Do these one by one in Key and Val. And press Save and Add Another<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n
\"\"<\/figure>\r\n\r\n\r\n\r\n

In last one Press save<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

The key and Value will be added.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Open Composer.<\/p>\r\n\r\n\r\n\r\n

Click on DAGs Folder<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Copy the path.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Click on Activate Cloud Shell<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Paste the below code in shell. In DAG path paste the copied DAG path and press Enter<\/p>\r\n\r\n\r\n\r\n

$\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 gsutil cp gs:\/\/cloud-training\/datawarehousing\/lab_assets\/hadoop_tutorial.py gs:\/\/<paste the DAG path><\/p>\r\n\r\n\r\n\r\n

It will copy hadoop_tutorial.py\u00a0 into Cluster bucket<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n
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The file will be copied into the cluster bucket, and it will also be displayed in Airflow.<\/p>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

In Airflow, click on the DAG.\u00a0<\/p>\r\n\r\n\r\n\r\n

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Please click on the Graph View. You will see a graph-like structure.<\/p>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Hover the curser to each one. You can see the details.<\/p>\r\n\r\n\r\n\r\n

Click any one of it.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Press View Log.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

You can see the log for the Execution.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Go to Bucket. Open the Bucket which we created.<\/h3>\r\n\r\n\r\n\r\n
\"\"<\/figure>\r\n\r\n\r\n\r\n

file saved.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

If it is not Executed, Open the Airflow > composer_hadoop_tutorial.<\/p>\r\n\r\n\r\n\r\n

\u00a0Trigger DAG<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Trigger<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

\u00a0Graph view. Here you can see the execution.<\/p>\r\n\r\n\r\n\r\n

The below colors shows the execution state.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Its runnning create_dataproc_cluster.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Open Menu > Dataproc > Clusters<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

cluster\u00a0 created.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Now the green border is on run_dataproc_hadoop. It is executing the content<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Then it changes to delete_dataproc_cluster. It will delete the cluster.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Check the cluster in dataproc. deleted.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Open the Dataproc > jobs. Open the job.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n
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\u00a0file saved.<\/p>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n
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The system will save the file in the bucket.<\/p>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

In Airflow click on Code.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n

 <\/p>\r\n\r\n\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

To delete the composer environment , Click on Delete.<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n\r\n\r\n\r\n

Press Delete<\/p>\r\n\r\n\r\n\r\n

\"\"<\/figure>\r\n

 <\/p>\r\n

Cloud Composer and Airflow Integration<\/span><\/p>\r\n","protected":false},"excerpt":{"rendered":"

Cloud Composer and Airflow Integration Prerequisites GCP account Open Console Open Menu > Cloud Storage > Browser Click on Create Bucket Create one bucket with same name as the project ID. Click create The bucket will be created. In Composer, Click on Airflow Choose the login DAG Airflow will be opened. Go to Menu > […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1632,1],"tags":[1519,1520,1521,1522,605,699,700,617,683,684,685,611,1400,686,692],"class_list":["post-9304","post","type-post","status-publish","format-standard","hentry","category-bigquery","category-google-cloud-platform","tag-cloud-composer","tag-cloud-composer-dag","tag-cloud-composer-documentation","tag-cloud-composer-environment","tag-gcp","tag-gcp-certification","tag-gcp-cloud-console","tag-google-cloud","tag-google-cloud-certification","tag-google-cloud-console","tag-google-cloud-courses","tag-google-cloud-platform","tag-google-cloud-platform-tutorial","tag-google-cloud-storage","tag-google-cloud-training"],"acf":[],"yoast_head":"\nCloud Composer and Airflow Integration - Prwatech<\/title>\n<meta name=\"description\" content=\"Master Cloud Composer and Airflow Integration with Prwatech - 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