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Showing content from https://developers.google.com/bigquery/docs/reference/storage/samples below:

BigQuery Storage API Client Libraries

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This page shows how to get started with the Cloud Client Libraries for the BigQuery Storage API. Client libraries make it easier to access Google Cloud APIs from a supported language. Although you can use Google Cloud APIs directly by making raw requests to the server, client libraries provide simplifications that significantly reduce the amount of code you need to write.

Read more about the Cloud Client Libraries and the older Google API Client Libraries in Client libraries explained.

Install-Package Google.Cloud.BigQuery.Storage.V1 -Pre

For more information, see Setting Up a C# Development Environment.

go get cloud.google.com/go/bigquery

For more information, see Setting Up a Go Development Environment.

If you are using Maven, add the following to your pom.xml file. For more information about BOMs, see The Google Cloud Platform Libraries BOM.

If you are using Gradle, add the following to your dependencies:

If you are using sbt, add the following to your dependencies:

If you're using Visual Studio Code, IntelliJ, or Eclipse, you can add client libraries to your project using the following IDE plugins:

• Cloud Code for VS Code
• Cloud Code for IntelliJ
• Cloud Tools for Eclipse

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.

For more information, see Setting Up a Java Development Environment.

npm install @google-cloud/bigquery-storage

For more information, see Setting Up a Node.js Development Environment.

composer require google/cloud-bigquery-storage

For more information, see Using PHP on Google Cloud.

pip install --upgrade google-cloud-bigquery-storage

For more information, see Setting Up a Python Development Environment.

gem install google-cloud-bigquery-storage

For more information, see Setting Up a Ruby Development Environment.

To authenticate calls to Google Cloud APIs, client libraries support

; the libraries look for credentials in a set of defined locations and use those credentials to authenticate requests to the API. With ADC, you can make credentials available to your application in a variety of environments, such as local development or production, without needing to modify your application code.

For production environments, the way you set up ADC depends on the service and context. For more information, see Set up Application Default Credentials.

For a local development environment, you can set up ADC with the credentials that are associated with your Google Account:

1. Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command:

   gcloud init

   If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

2. If you're using a local shell, then create local authentication credentials for your user account:

   gcloud auth application-default login

   You don't need to do this if you're using Cloud Shell.

   If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity.

   A sign-in screen appears. After you sign in, your credentials are stored in the local credential file used by ADC.

The following example shows basic interactions with the BigQuery Storage Read API.

For examples of how to use the BigQuery Storage Write API, see Perform batch and streaming using the Storage Write API.

For users of the pandas and integration to BigQuery, see the tutorial Visualizing BigQuery data in a Jupyter notebook.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

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