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gcf-merge-on-green merged 1 commit into from
Jun 27, 2026
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chore: regenerate biglake client #32106

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6 changes: 3 additions & 3 deletions clients/google-api-services-biglake/v1/2.0.0/README.md
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# BigLake API Client Library for Java

The BigLake API provides access to BigLake Metastore, a serverless, fully managed, and highly available metastore for open-source data that can be used for querying Apache Iceberg tables in BigQuery.
The Lakehouse API (formerly BigLake API) provides access to a serverless, fully managed, and highly available metastore that provides a single source of truth for your data lakehouse. It lets multiple engines—including Apache Spark, Google Managed Spark, Apache Flink, Trino and BigQuery—share tables and metadata for key open formats (Apache Iceberg, Apache Hive), and query the same copy of data. Plus, through the Lakehouse runtime catalog federation seamlessly unite your lakehouse ecosystem, letting Iceberg compatible engines on Google Cloud (BigQuery, Google Managed Spark) discover and analyze enterprise data across Snowflake, Databricks, and AWS Glue.

This page contains information about getting started with the BigLake API
using the Google API Client Library for Java. In addition, you may be interested
Expand All @@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
<dependency>
<groupId>com.google.apis</groupId>
<artifactId>google-api-services-biglake</artifactId>
<version>v1-rev20260209-2.0.0</version>
<version>v1-rev20260618-2.0.0</version>
</dependency>
</dependencies>
</project>
Expand All @@ -35,7 +35,7 @@ repositories {
mavenCentral()
}
dependencies {
implementation 'com.google.apis:google-api-services-biglake:v1-rev20260209-2.0.0'
implementation 'com.google.apis:google-api-services-biglake:v1-rev20260618-2.0.0'
}
```

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4 changes: 2 additions & 2 deletions ...ogle-api-services-biglake/v1/2.0.0/com/google/api/services/biglake/v1/BigLakeService.java
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Expand Up @@ -20,12 +20,12 @@
* Service definition for BigLakeService (v1).
*
* <p>
* The BigLake API provides access to BigLake Metastore, a serverless, fully managed, and highly available metastore for open-source data that can be used for querying Apache Iceberg tables in BigQuery.
* The Lakehouse API (formerly BigLake API) provides access to a serverless, fully managed, and highly available metastore that provides a single source of truth for your data lakehouse. It lets multiple engines—including Apache Spark, Google Managed Spark, Apache Flink, Trino and BigQuery—share tables and metadata for key open formats (Apache Iceberg, Apache Hive), and query the same copy of data. Plus, through the Lakehouse runtime catalog federation seamlessly unite your lakehouse ecosystem, letting Iceberg compatible engines on Google Cloud (BigQuery, Google Managed Spark) discover and analyze enterprise data across Snowflake, Databricks, and AWS Glue.
* </p>
*
* <p>
* For more information about this service, see the
* <a href="https://cloud.google.com/bigquery/" target="_blank">API Documentation</a>
* <a href="https://cloud.google.com/products/lakehouse" target="_blank">API Documentation</a>
* </p>
*
* <p>
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4 changes: 2 additions & 2 deletions clients/google-api-services-biglake/v1/2.0.0/pom.xml
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Expand Up @@ -8,8 +8,8 @@

<groupId>com.google.apis</groupId>
<artifactId>google-api-services-biglake</artifactId>
<version>v1-rev20260209-2.0.0</version>
<name>BigLake API v1-rev20260209-2.0.0</name>
<version>v1-rev20260618-2.0.0</version>
<name>BigLake API v1-rev20260618-2.0.0</name>
<packaging>jar</packaging>

<inceptionYear>2011</inceptionYear>
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6 changes: 3 additions & 3 deletions clients/google-api-services-biglake/v1/README.md
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# BigLake API Client Library for Java

The BigLake API provides access to BigLake Metastore, a serverless, fully managed, and highly available metastore for open-source data that can be used for querying Apache Iceberg tables in BigQuery.
The Lakehouse API (formerly BigLake API) provides access to a serverless, fully managed, and highly available metastore that provides a single source of truth for your data lakehouse. It lets multiple engines—including Apache Spark, Google Managed Spark, Apache Flink, Trino and BigQuery—share tables and metadata for key open formats (Apache Iceberg, Apache Hive), and query the same copy of data. Plus, through the Lakehouse runtime catalog federation seamlessly unite your lakehouse ecosystem, letting Iceberg compatible engines on Google Cloud (BigQuery, Google Managed Spark) discover and analyze enterprise data across Snowflake, Databricks, and AWS Glue.

This page contains information about getting started with the BigLake API
using the Google API Client Library for Java. In addition, you may be interested
Expand All @@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
<dependency>
<groupId>com.google.apis</groupId>
<artifactId>google-api-services-biglake</artifactId>
<version>v1-rev20260209-2.0.0</version>
<version>v1-rev20260618-2.0.0</version>
</dependency>
</dependencies>
</project>
Expand All @@ -35,7 +35,7 @@ repositories {
mavenCentral()
}
dependencies {
implementation 'com.google.apis:google-api-services-biglake:v1-rev20260209-2.0.0'
implementation 'com.google.apis:google-api-services-biglake:v1-rev20260618-2.0.0'
}
```

Expand Down
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