google-big-queryHow do I make a request to Google Big Query?
In order to make a request to Google BigQuery, the following steps should be taken:
- Authenticate the user and create a BigQuery Client object. This can be done as follows:
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()- 
Define the query string. This is the SQL query that will be sent to BigQuery. 
- 
Create a query job. This will allow us to run the query asynchronously. 
# The name for the query job
job_name = 'my_first_query_job'
# Set up the query
query_job = client.query(query_string, job_name=job_name)- Run the query job.
# Run the query job
query_job.result()- Get the results.
# Get the results
for row in query_job:
    print(row)- Clean up the query job.
# Delete the query job
query_job.delete()- Close the BigQuery client object.
# Close the BigQuery client
client.close()For more information, please refer to the Google BigQuery Documentation.
More of Google Big Query
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How can I use Google BigQuery to access Wikipedia data?
- How do I use wildcards in Google BigQuery?
- How do I use the UNNEST function in Google BigQuery?
- How can I use Google Big Query to integrate with Zephyr?
- How can I use Google Big Query for specific use cases?
- How can I use Google Big Query to split data?
- How do I set up a Google Big Query zone?
- How do I find the Google BigQuery project ID?
- How do I create a primary key in Google Big Query?
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