Cloud Functions - How to Read PDF Files on GCS Events and Store in BigQuery
Mukesh Singh
In this tutorial, you will learn "How to create an event-driven Cloud Function that reads PDF files from Google Cloud Storage (GCS) and pushes their contents into BigQuery" in GCP.
Ensure that you have appropriate permissions for accessing GCS and BigQuery in your Cloud Function's service account.
🌿Roles and Permission 👍Cloud Functions Invoker: to execute Cloud Function 👍Service Account User: to interact with other Google Cloud services 👍BigQuery Data Editor: to edit data in BigQuery datasets 👍Storage Object Admin: to read, write, update, and delete on GCS Bucket
🌿Cloud Function Configuration & Trigger Trigger Type, Event Type, Bucket, Retry on failure
🌿Runtime, Build, Connections and Security Settings Memory Allocated, CPU, Timeout, Concurrency, Autoscaling
🌿Runtime Service Account 🌿Runtime Environment Variables
🌿Cloud Function Code 🎯Runtime Language and Entry Point 🎯Supportive Python Packages/Libraries 🚀PyPDF2 - To interact with PDF files 🚀google-cloud-storage - to interact with GCS 🚀google-cloud-bigquery - to interact with BigQuery
🚀Read PDF File from GCS bucket as a Byte Format 🚀Convert Byte Object to File Like Object
🎯Conditions 🚀Verify the Source Directory Path 🚀Verify the File Extension
🎯Reading PDF File from GCS 🚀Download file as Byte Format 🚀Call PDF Convert Method 🚀Get the PDF Data as Text in Json Array List 🚀Deleting PDF file from GCS Bucket
🎯Load Data Into BigQuery 🚀Initializing client variable from BigQuery 🚀Create Schema variable to meet BQ Table 🚀BigQuery Job Configuration 🚀Load BigQuery Job
🌿Save and Deployment and Testing- 🎯Upload PDF files into GCS Bucket, 🎯Log Check and Verification 🎯Verify the data in BigQuery Table
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