chore: regenerate biglake client (#32106)

Generated in GitHub action: https://togithub.com/googleapis/googleapis/google-api-java-client-services/actions/workflows/codegen.yaml

Author: yoshi-code-bot

clients/google-api-services-biglake/v1/2.0.0/README.md

@@ -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
@@ -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>
@@ -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'
 }
 ```
 

clients/google-api-services-biglake/v1/2.0.0/com/google/api/services/biglake/v1/BigLakeService.java

@@ -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>

clients/google-api-services-biglake/v1/2.0.0/pom.xml

@@ -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>

clients/google-api-services-biglake/v1/README.md

@@ -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
@@ -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>
@@ -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'
 }
 ```