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<title data-rh="true">Integrate Google BigQuery with Langflow | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/integrations-google-big-query"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Integrate Google BigQuery with Langflow | Langflow Documentation"><meta data-rh="true" name="description" content="Langflow integrates with Google BigQuery through the BigQuery component, allowing you to execute SQL queries and retrieve data from your BigQuery datasets."><meta data-rh="true" property="og:description" content="Langflow integrates with Google BigQuery through the BigQuery component, allowing you to execute SQL queries and retrieve data from your BigQuery datasets."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/integrations-google-big-query"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/integrations-google-big-query" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/integrations-google-big-query" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><link rel="preconnect" href="https://www.google-analytics.com">
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<p>Langflow integrates with <a href="https://cloud.google.com/bigquery" target="_blank" rel="noopener noreferrer">Google BigQuery</a> through the BigQuery component, allowing you to execute SQL queries and retrieve data from your BigQuery datasets.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites"></a></h2>
<ul>
<li>A <a href="https://developers.google.com/workspace/guides/create-project" target="_blank" rel="noopener noreferrer">Google Cloud project</a> with the BigQuery API enabled</li>
<li>A <a href="https://developers.google.com/workspace/guides/create-credentials#service-account" target="_blank" rel="noopener noreferrer">service account</a> with the <strong>BigQuery Job User</strong> role</li>
<li>A <a href="https://cloud.google.com/bigquery/docs/datasets-intro" target="_blank" rel="noopener noreferrer">BigQuery dataset and table</a></li>
</ul>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-a-service-account-with-bigquery-access">Create a service account with BigQuery access<a href="#create-a-service-account-with-bigquery-access" class="hash-link" aria-label="Direct link to Create a service account with BigQuery access" title="Direct link to Create a service account with BigQuery access"></a></h2>
<ol>
<li>Select and enable your Google Cloud project.
For more information, see <a href="https://developers.google.com/workspace/guides/create-project" target="_blank" rel="noopener noreferrer">Create a Google Cloud project</a>.</li>
<li>Create a service account in your Google Cloud project.
For more information, see <a href="https://developers.google.com/workspace/guides/create-credentials#service-account" target="_blank" rel="noopener noreferrer">Create a service account</a>.</li>
<li>Assign the <strong>BigQuery Job User</strong> role to your new account.
This role allows Langflow to access BigQuery resources with the service account.
You may also need to allow access to your BigQuery dataset.
For more information, see <a href="https://cloud.google.com/bigquery/docs/access-control" target="_blank" rel="noopener noreferrer">BigQuery access control with IAM</a>.</li>
<li>To generate a new JSON key for the service account, navigate to your service account.</li>
<li>Click <strong>Add Key</strong>, and then click <strong>Create new key</strong>.</li>
<li>Under <strong>Key type</strong>, select <strong>JSON</strong>, and then click <strong>Create</strong>.
A JSON private key file is downloaded to your machine.
Now that you have a service account and a JSON private key, you need to configure the credentials in the Langflow BigQuery component.</li>
</ol>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-credentials-in-the-langflow-component">Configure credentials in the Langflow component<a href="#configure-credentials-in-the-langflow-component" class="hash-link" aria-label="Direct link to Configure credentials in the Langflow component" title="Direct link to Configure credentials in the Langflow component"></a></h2>
<p>With your service account configured and your credentials JSON file created, follow these steps to authenticate the Langflow application.</p>
<ol>
<li>Create a new project in Langflow.</li>
<li>From the components sidebar, drag and drop the BigQuery component to your workspace.</li>
<li>In the BigQuery component&#x27;s <strong>Upload Service Account JSON</strong> field, click <strong>Select file</strong>.</li>
<li>In the <strong>My Files</strong> pane, select <strong>Click or drag files here</strong>.
Your file browser opens.</li>
<li>In your file browser, select the service account JSON file, and then click <strong>Open</strong>.</li>
<li>In the <strong>My Files</strong> pane, select your service account JSON file, and then click <strong>Select files</strong>.
The BigQuery component can now query your datasets and tables using your service account JSON file.</li>
</ol>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="query-a-bigquery-dataset">Query a BigQuery dataset<a href="#query-a-bigquery-dataset" class="hash-link" aria-label="Direct link to Query a BigQuery dataset" title="Direct link to Query a BigQuery dataset"></a></h2>
<p>With your component credentials configured, query your BigQuery datasets and tables to confirm connectivity.</p>
<ol>
<li>
<p>Connect a <strong>Chat input</strong> and <strong>Chat output</strong> component to the BigQuery component.
The flow looks like this:
<img decoding="async" loading="lazy" alt="BigQuery component connected to chat input and output" src="/assets/images/integrations-bigquery-48f5e5cc351d8caf9e9837ed495a5367.png" width="4000" height="1680" class="img_ev3q"></p>
</li>
<li>
<p>Open the <strong>Playground</strong>, and then submit a valid SQL query.
This example queries a table of Oscar winners stored within a BigQuery dataset called <code>the_oscar_award</code>.</p>
<div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">SQL query</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Result</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>SELECT film, category, year_film</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>FROM `big-query-langflow-project.the_oscar_award.oscar_winners`</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>WHERE winner = TRUE</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>LIMIT 10</span></div></div><br></code></div></div></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>film category year_film</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>The Last Command ACTOR 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>7th Heaven ACTRESS 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>The Dove; ART DIRECTION 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>Sunrise CINEMATOGRAPHY 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>Sunrise CINEMATOGRAPHY 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>Two Arabian Knights DIRECTING (Comedy Picture) 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>7th Heaven DIRECTING (Dramatic Picture) 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>Wings ENGINEERING EFFECTS 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>Wings OUTSTANDING PICTURE 1927</span></div></div><div><span class="ch-code-line-number">_<!-- -->11</span><div style="display:inline-block;margin-left:16px"><span>Sunrise UNIQUE AND ARTISTIC PICTURE 1927</span></div></div><br></code></div></div></div></div></div>
<p>A successful chat confirms the component can access the BigQuery table.</p>
</li>
</ol></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/integrations-setup-google-cloud-vertex-ai-langflow"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Integrate Google Cloud Vertex AI with Langflow</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/integrations-langfuse"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Langfuse</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#create-a-service-account-with-bigquery-access" class="table-of-contents__link toc-highlight">Create a service account with BigQuery access</a></li><li><a href="#configure-credentials-in-the-langflow-component" class="table-of-contents__link toc-highlight">Configure credentials in the Langflow component</a></li><li><a href="#query-a-bigquery-dataset" class="table-of-contents__link toc-highlight">Query a BigQuery dataset</a></li></ul></div></div></div></div></main></div></div></div><footer class="footer"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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