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The following commit(s) were added to refs/heads/asf-site by this push: new bc976f5d336 Publishing website 2023/02/10 10:17:22 at commit 8283e4f bc976f5d336 is described below commit bc976f5d33680b4c60d049a613a9952d19b5709e Author: jenkins <bui...@apache.org> AuthorDate: Fri Feb 10 10:17:23 2023 +0000 Publishing website 2023/02/10 10:17:22 at commit 8283e4f --- website/generated-content/documentation/index.xml | 4 ++-- .../documentation/io/built-in/google-bigquery/index.html | 6 +++--- website/generated-content/sitemap.xml | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/website/generated-content/documentation/index.xml b/website/generated-content/documentation/index.xml index cc3524a0888..75d8bc76b2b 100644 --- a/website/generated-content/documentation/index.xml +++ b/website/generated-content/documentation/index.xml @@ -19049,8 +19049,8 @@ BigQuery. SDK versions before 2.25.0 support the BigQuery Storage API as an <a href="https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/annotations/Experimental.html">experimental feature</a> and use the pre-GA BigQuery Storage API surface. Callers should migrate pipelines which use the BigQuery Storage API to use SDK version 2.25.0 or later.</p> -<p>The Beam SDK for Python does not support the BigQuery Storage API. See -<a href="https://github.com/apache/beam/issues/20687">Issue 20687</a>).</p> +<p>The Beam SDK for Python supports the BigQuery Storage API. Enable it +by passing <code>method=DIRECT_READ</code> as a parameter to <code>ReadFromBigQuery</code>.</p> <h4 id="updating-your-code">Updating your code</h4> <p>Use the following methods when you read from a table:</p> <ul> diff --git a/website/generated-content/documentation/io/built-in/google-bigquery/index.html b/website/generated-content/documentation/io/built-in/google-bigquery/index.html index 79fa035cbc6..56cfd0bcd64 100644 --- a/website/generated-content/documentation/io/built-in/google-bigquery/index.html +++ b/website/generated-content/documentation/io/built-in/google-bigquery/index.html @@ -272,8 +272,8 @@ efficient pipeline execution.</p><p>The Beam SDK for Java supports using the Big BigQuery. SDK versions before 2.25.0 support the BigQuery Storage API as an <a href=https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/annotations/Experimental.html>experimental feature</a> and use the pre-GA BigQuery Storage API surface. Callers should migrate -pipelines which use the BigQuery Storage API to use SDK version 2.25.0 or later.</p><p>The Beam SDK for Python does not support the BigQuery Storage API. See -<a href=https://github.com/apache/beam/issues/20687>Issue 20687</a>).</p><h4 id=updating-your-code>Updating your code</h4><p>Use the following methods when you read from a table:</p><ul><li>Required: Specify <a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.TypedRead.html#withMethod-org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.TypedRead.Method->withMethod(Method.DIRECT_READ)</a> to use the BigQuery Storage API for the read operation [...] +pipelines which use the BigQuery Storage API to use SDK version 2.25.0 or later.</p><p>The Beam SDK for Python supports the BigQuery Storage API. Enable it +by passing <code>method=DIRECT_READ</code> as a parameter to <code>ReadFromBigQuery</code>.</p><h4 id=updating-your-code>Updating your code</h4><p>Use the following methods when you read from a table:</p><ul><li>Required: Specify <a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.TypedRead.html#withMethod-org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.TypedRead.Method->withMethod(Method.DIRECT_READ)</a> to use the BigQuery Storage API [...] example</a>. When the example’s read method option is set to <code>DIRECT_READ</code>, the pipeline uses the BigQuery Storage API and column projection to read public samples of weather @@ -869,7 +869,7 @@ reads from a BigQuery table that has the ‘month’ and ‘tornado& of the table schema, computes the number of tornadoes in each month, and outputs the results to a BigQuery table.</p></li><li><p><a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/cookbook/filters.py>BigQuery filters</a> reads weather station data from a BigQuery table, manipulates BigQuery rows in -memory, and writes the results to a BigQuery table.</p></li></ul><div class=feedback><p class=update>Last updated on 2022/10/11</p><h3>Have you found everything you were looking for?</h3><p class=description>Was it all useful and clear? Is there anything that you would like to change? Let us know!</p><button class=load-button><a href="mailto:d...@beam.apache.org?subject=Beam Website Feedback">SEND FEEDBACK</a></button></div></div></div><footer class=footer><div class=footer__contained><di [...] +memory, and writes the results to a BigQuery table.</p></li></ul><div class=feedback><p class=update>Last updated on 2023/02/09</p><h3>Have you found everything you were looking for?</h3><p class=description>Was it all useful and clear? Is there anything that you would like to change? Let us know!</p><button class=load-button><a href="mailto:d...@beam.apache.org?subject=Beam Website Feedback">SEND FEEDBACK</a></button></div></div></div><footer class=footer><div class=footer__contained><di [...] <a href=https://www.apache.org>The Apache Software Foundation</a> | <a href=/privacy_policy>Privacy Policy</a> | <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. 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