google-big-queryHow do I use the Google BigQuery API?

Using the Google BigQuery API is a great way to access and analyze data stored in BigQuery.

To get started, you will need to create a project in the Google Cloud Platform Console and enable the BigQuery API.

Once the BigQuery API is enabled, you can use the Google BigQuery client library for Python to access the API.

The following example shows how to use the BigQuery client library to list the datasets in your project:

from google.cloud import bigquery

client = bigquery.Client()

datasets = list(client.list_datasets())

dataset_references = [dataset.reference for dataset in datasets]

print(dataset_references)

The output of this code will be a list of the dataset references in your project.

To use BigQuery to query data, you can use the BigQuery Python client library to create a query job.

The following example shows how to use the BigQuery client library to query a table in your project:

from google.cloud import bigquery

client = bigquery.Client()

query = """
    SELECT *
    FROM `project.dataset.table`
    LIMIT 10
"""

query_job = client.query(query)

for row in query_job:
    print(row)

The output of this code will be a list of the rows from the table you queried.

For more information on using the BigQuery API, see the BigQuery Documentation.

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