GCP data processing
Create two bash scripts for the following setup
gsutil to create a bucket with two folders named customer and order
These two folders will receive files in json format, uploaded manually:
customer:
"id":1,
"first_name":"John",
"last_name":"Smith"
order:
"id":123445,
"customer_id":1,
"quantity":2,
"amount":100
gcloud script to set up Pub/Sub notifications for each folder. Each folder will send notifications to a separate Pub/Sub topic
gcloud script to set up Cloud Spanner in GCP with explicit network and subnet specification, the default network is absent in the target account.
gcloud script to set up a Dataflow job that listens to Pub/Sub topics and writes data to Cloud Spanner tables, using Python code with Apache Beam SDK or a ready-made Google template.
gcloud script to deploy Python code for the Dataflow job.
The Python code for Dataflow inserts new records or updates existing records in the Cloud Spanner database, the tables are named customer and order with the same columns as the json properties.
Acceptance criteria:
- the freelancer uses their own GCP account
- the scripts are provided and can be executed independently of the freelancer in another GCP account
- uploading new files to GCS translates to new/updated records in Cloud Spanner without any manual intervention
- the delay does not exceed 60 seconds
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