Class BetaAnalyticsDataClient (0.63.0)

Service Description: Google Analytics reporting data service.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunReportRequest request =
       RunReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .addAllDateRanges(new ArrayList<DateRange>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setOffset(-1019779949)
           .setLimit(102976443)
           .addAllMetricAggregations(new ArrayList<MetricAggregation>())
           .addAllOrderBys(new ArrayList<OrderBy>())
           .setCurrencyCode("currencyCode1004773790")
           .setCohortSpec(CohortSpec.newBuilder().build())
           .setKeepEmptyRows(true)
           .setReturnPropertyQuota(true)
           .addAllComparisons(new ArrayList<Comparison>())
           .build();
   RunReportResponse response = betaAnalyticsDataClient.runReport(request);
 }
 

Note: close() needs to be called on the BetaAnalyticsDataClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().

See the individual methods for example code.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.

This class can be customized by passing in a custom instance of BetaAnalyticsDataSettings to create(). For example:

To customize credentials:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 BetaAnalyticsDataSettings betaAnalyticsDataSettings =
     BetaAnalyticsDataSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 BetaAnalyticsDataClient betaAnalyticsDataClient =
     BetaAnalyticsDataClient.create(betaAnalyticsDataSettings);
 

To customize the endpoint:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 BetaAnalyticsDataSettings betaAnalyticsDataSettings =
     BetaAnalyticsDataSettings.newBuilder().setEndpoint(myEndpoint).build();
 BetaAnalyticsDataClient betaAnalyticsDataClient =
     BetaAnalyticsDataClient.create(betaAnalyticsDataSettings);
 

To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over the wire:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 BetaAnalyticsDataSettings betaAnalyticsDataSettings =
     BetaAnalyticsDataSettings.newHttpJsonBuilder().build();
 BetaAnalyticsDataClient betaAnalyticsDataClient =
     BetaAnalyticsDataClient.create(betaAnalyticsDataSettings);
 

Please refer to the GitHub repository's samples for more quickstart code snippets.

Constructs an instance of BetaAnalyticsDataClient with default settings.

Constructs an instance of BetaAnalyticsDataClient, using the given settings. The channels are created based on the settings passed in, or defaults for any settings that are not set.

Constructs an instance of BetaAnalyticsDataClient, using the given stub for making calls. This is for advanced usage - prefer using create(BetaAnalyticsDataSettings).

Constructs an instance of BetaAnalyticsDataClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.

Returns multiple pivot reports in a batch. All reports must be for the same GA4 Property.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   BatchRunPivotReportsRequest request =
       BatchRunPivotReportsRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllRequests(new ArrayList<RunPivotReportRequest>())
           .build();
   BatchRunPivotReportsResponse response = betaAnalyticsDataClient.batchRunPivotReports(request);
 }
 

Returns multiple pivot reports in a batch. All reports must be for the same GA4 Property.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   BatchRunPivotReportsRequest request =
       BatchRunPivotReportsRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllRequests(new ArrayList<RunPivotReportRequest>())
           .build();
   ApiFuture<BatchRunPivotReportsResponse> future =
       betaAnalyticsDataClient.batchRunPivotReportsCallable().futureCall(request);
   // Do something.
   BatchRunPivotReportsResponse response = future.get();
 }
 

Returns multiple reports in a batch. All reports must be for the same GA4 Property.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   BatchRunReportsRequest request =
       BatchRunReportsRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllRequests(new ArrayList<RunReportRequest>())
           .build();
   BatchRunReportsResponse response = betaAnalyticsDataClient.batchRunReports(request);
 }
 

Returns multiple reports in a batch. All reports must be for the same GA4 Property.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   BatchRunReportsRequest request =
       BatchRunReportsRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllRequests(new ArrayList<RunReportRequest>())
           .build();
   ApiFuture<BatchRunReportsResponse> future =
       betaAnalyticsDataClient.batchRunReportsCallable().futureCall(request);
   // Do something.
   BatchRunReportsResponse response = future.get();
 }
 

This compatibility method lists dimensions and metrics that can be added to a report request and maintain compatibility. This method fails if the request's dimensions and metrics are incompatible.

In Google Analytics, reports fail if they request incompatible dimensions and/or metrics; in that case, you will need to remove dimensions and/or metrics from the incompatible report until the report is compatible.

The Realtime and Core reports have different compatibility rules. This method checks compatibility for Core reports.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   CheckCompatibilityRequest request =
       CheckCompatibilityRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setCompatibilityFilter(Compatibility.forNumber(0))
           .build();
   CheckCompatibilityResponse response = betaAnalyticsDataClient.checkCompatibility(request);
 }
 

This compatibility method lists dimensions and metrics that can be added to a report request and maintain compatibility. This method fails if the request's dimensions and metrics are incompatible.

In Google Analytics, reports fail if they request incompatible dimensions and/or metrics; in that case, you will need to remove dimensions and/or metrics from the incompatible report until the report is compatible.

The Realtime and Core reports have different compatibility rules. This method checks compatibility for Core reports.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   CheckCompatibilityRequest request =
       CheckCompatibilityRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setCompatibilityFilter(Compatibility.forNumber(0))
           .build();
   ApiFuture<CheckCompatibilityResponse> future =
       betaAnalyticsDataClient.checkCompatibilityCallable().futureCall(request);
   // Do something.
   CheckCompatibilityResponse response = future.get();
 }
 

Creates an audience export for later retrieval. This method quickly returns the audience export's resource name and initiates a long running asynchronous request to form an audience export. To export the users in an audience export, first create the audience export through this method and then send the audience resource name to the QueryAudienceExport method.

See Creating an Audience Export for an introduction to Audience Exports with examples.

An audience export is a snapshot of the users currently in the audience at the time of audience export creation. Creating audience exports for one audience on different days will return different results as users enter and exit the audience.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572. Audience exports contain the users in each audience.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   CreateAudienceExportRequest request =
       CreateAudienceExportRequest.newBuilder()
           .setParent(PropertyName.of("[PROPERTY]").toString())
           .setAudienceExport(AudienceExport.newBuilder().build())
           .build();
   AudienceExport response = betaAnalyticsDataClient.createAudienceExportAsync(request).get();
 }
 

Creates an audience export for later retrieval. This method quickly returns the audience export's resource name and initiates a long running asynchronous request to form an audience export. To export the users in an audience export, first create the audience export through this method and then send the audience resource name to the QueryAudienceExport method.

See Creating an Audience Export for an introduction to Audience Exports with examples.

An audience export is a snapshot of the users currently in the audience at the time of audience export creation. Creating audience exports for one audience on different days will return different results as users enter and exit the audience.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572. Audience exports contain the users in each audience.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   PropertyName parent = PropertyName.of("[PROPERTY]");
   AudienceExport audienceExport = AudienceExport.newBuilder().build();
   AudienceExport response =
       betaAnalyticsDataClient.createAudienceExportAsync(parent, audienceExport).get();
 }
 

Creates an audience export for later retrieval. This method quickly returns the audience export's resource name and initiates a long running asynchronous request to form an audience export. To export the users in an audience export, first create the audience export through this method and then send the audience resource name to the QueryAudienceExport method.

See Creating an Audience Export for an introduction to Audience Exports with examples.

An audience export is a snapshot of the users currently in the audience at the time of audience export creation. Creating audience exports for one audience on different days will return different results as users enter and exit the audience.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572. Audience exports contain the users in each audience.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   String parent = PropertyName.of("[PROPERTY]").toString();
   AudienceExport audienceExport = AudienceExport.newBuilder().build();
   AudienceExport response =
       betaAnalyticsDataClient.createAudienceExportAsync(parent, audienceExport).get();
 }
 

Creates an audience export for later retrieval. This method quickly returns the audience export's resource name and initiates a long running asynchronous request to form an audience export. To export the users in an audience export, first create the audience export through this method and then send the audience resource name to the QueryAudienceExport method.

See Creating an Audience Export for an introduction to Audience Exports with examples.

An audience export is a snapshot of the users currently in the audience at the time of audience export creation. Creating audience exports for one audience on different days will return different results as users enter and exit the audience.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572. Audience exports contain the users in each audience.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   CreateAudienceExportRequest request =
       CreateAudienceExportRequest.newBuilder()
           .setParent(PropertyName.of("[PROPERTY]").toString())
           .setAudienceExport(AudienceExport.newBuilder().build())
           .build();
   ApiFuture<Operation> future =
       betaAnalyticsDataClient.createAudienceExportCallable().futureCall(request);
   // Do something.
   Operation response = future.get();
 }
 

Creates an audience export for later retrieval. This method quickly returns the audience export's resource name and initiates a long running asynchronous request to form an audience export. To export the users in an audience export, first create the audience export through this method and then send the audience resource name to the QueryAudienceExport method.

See Creating an Audience Export for an introduction to Audience Exports with examples.

An audience export is a snapshot of the users currently in the audience at the time of audience export creation. Creating audience exports for one audience on different days will return different results as users enter and exit the audience.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572. Audience exports contain the users in each audience.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   CreateAudienceExportRequest request =
       CreateAudienceExportRequest.newBuilder()
           .setParent(PropertyName.of("[PROPERTY]").toString())
           .setAudienceExport(AudienceExport.newBuilder().build())
           .build();
   OperationFuture<AudienceExport, AudienceExportMetadata> future =
       betaAnalyticsDataClient.createAudienceExportOperationCallable().futureCall(request);
   // Do something.
   AudienceExport response = future.get();
 }
 

Gets configuration metadata about a specific audience export. This method can be used to understand an audience export after it has been created.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   AudienceExportName name = AudienceExportName.of("[PROPERTY]", "[AUDIENCE_EXPORT]");
   AudienceExport response = betaAnalyticsDataClient.getAudienceExport(name);
 }
 

Gets configuration metadata about a specific audience export. This method can be used to understand an audience export after it has been created.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   GetAudienceExportRequest request =
       GetAudienceExportRequest.newBuilder()
           .setName(AudienceExportName.of("[PROPERTY]", "[AUDIENCE_EXPORT]").toString())
           .build();
   AudienceExport response = betaAnalyticsDataClient.getAudienceExport(request);
 }
 

Gets configuration metadata about a specific audience export. This method can be used to understand an audience export after it has been created.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   String name = AudienceExportName.of("[PROPERTY]", "[AUDIENCE_EXPORT]").toString();
   AudienceExport response = betaAnalyticsDataClient.getAudienceExport(name);
 }
 

Gets configuration metadata about a specific audience export. This method can be used to understand an audience export after it has been created.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   GetAudienceExportRequest request =
       GetAudienceExportRequest.newBuilder()
           .setName(AudienceExportName.of("[PROPERTY]", "[AUDIENCE_EXPORT]").toString())
           .build();
   ApiFuture<AudienceExport> future =
       betaAnalyticsDataClient.getAudienceExportCallable().futureCall(request);
   // Do something.
   AudienceExport response = future.get();
 }
 

Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

Returns metadata for dimensions and metrics available in reporting methods. Used to explore the dimensions and metrics. In this method, a Google Analytics GA4 Property Identifier is specified in the request, and the metadata response includes Custom dimensions and metrics as well as Universal metadata.

For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked. Universal metadata are dimensions and metrics applicable to any property such as country and totalUsers.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   GetMetadataRequest request =
       GetMetadataRequest.newBuilder().setName(MetadataName.of("[PROPERTY]").toString()).build();
   Metadata response = betaAnalyticsDataClient.getMetadata(request);
 }
 

Returns metadata for dimensions and metrics available in reporting methods. Used to explore the dimensions and metrics. In this method, a Google Analytics GA4 Property Identifier is specified in the request, and the metadata response includes Custom dimensions and metrics as well as Universal metadata.

For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked. Universal metadata are dimensions and metrics applicable to any property such as country and totalUsers.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   MetadataName name = MetadataName.of("[PROPERTY]");
   Metadata response = betaAnalyticsDataClient.getMetadata(name);
 }
 

Returns metadata for dimensions and metrics available in reporting methods. Used to explore the dimensions and metrics. In this method, a Google Analytics GA4 Property Identifier is specified in the request, and the metadata response includes Custom dimensions and metrics as well as Universal metadata.

For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked. Universal metadata are dimensions and metrics applicable to any property such as country and totalUsers.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   String name = MetadataName.of("[PROPERTY]").toString();
   Metadata response = betaAnalyticsDataClient.getMetadata(name);
 }
 

Returns metadata for dimensions and metrics available in reporting methods. Used to explore the dimensions and metrics. In this method, a Google Analytics GA4 Property Identifier is specified in the request, and the metadata response includes Custom dimensions and metrics as well as Universal metadata.

For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked. Universal metadata are dimensions and metrics applicable to any property such as country and totalUsers.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   GetMetadataRequest request =
       GetMetadataRequest.newBuilder().setName(MetadataName.of("[PROPERTY]").toString()).build();
   ApiFuture<Metadata> future =
       betaAnalyticsDataClient.getMetadataCallable().futureCall(request);
   // Do something.
   Metadata response = future.get();
 }
 

Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

Lists all audience exports for a property. This method can be used for you to find and reuse existing audience exports rather than creating unnecessary new audience exports. The same audience can have multiple audience exports that represent the export of users that were in an audience on different days.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   ListAudienceExportsRequest request =
       ListAudienceExportsRequest.newBuilder()
           .setParent(PropertyName.of("[PROPERTY]").toString())
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (AudienceExport element :
       betaAnalyticsDataClient.listAudienceExports(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
 

Lists all audience exports for a property. This method can be used for you to find and reuse existing audience exports rather than creating unnecessary new audience exports. The same audience can have multiple audience exports that represent the export of users that were in an audience on different days.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   PropertyName parent = PropertyName.of("[PROPERTY]");
   for (AudienceExport element :
       betaAnalyticsDataClient.listAudienceExports(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 

Lists all audience exports for a property. This method can be used for you to find and reuse existing audience exports rather than creating unnecessary new audience exports. The same audience can have multiple audience exports that represent the export of users that were in an audience on different days.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   String parent = PropertyName.of("[PROPERTY]").toString();
   for (AudienceExport element :
       betaAnalyticsDataClient.listAudienceExports(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 

Lists all audience exports for a property. This method can be used for you to find and reuse existing audience exports rather than creating unnecessary new audience exports. The same audience can have multiple audience exports that represent the export of users that were in an audience on different days.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   ListAudienceExportsRequest request =
       ListAudienceExportsRequest.newBuilder()
           .setParent(PropertyName.of("[PROPERTY]").toString())
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListAudienceExportsResponse response =
         betaAnalyticsDataClient.listAudienceExportsCallable().call(request);
     for (AudienceExport element : response.getAudienceExportsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }
 

Lists all audience exports for a property. This method can be used for you to find and reuse existing audience exports rather than creating unnecessary new audience exports. The same audience can have multiple audience exports that represent the export of users that were in an audience on different days.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   ListAudienceExportsRequest request =
       ListAudienceExportsRequest.newBuilder()
           .setParent(PropertyName.of("[PROPERTY]").toString())
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<AudienceExport> future =
       betaAnalyticsDataClient.listAudienceExportsPagedCallable().futureCall(request);
   // Do something.
   for (AudienceExport element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }
 

Retrieves an audience export of users. After creating an audience, the users are not immediately available for exporting. First, a request to CreateAudienceExport is necessary to create an audience export of users, and then second, this method is used to retrieve the users in the audience export.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   QueryAudienceExportRequest request =
       QueryAudienceExportRequest.newBuilder()
           .setName("name3373707")
           .setOffset(-1019779949)
           .setLimit(102976443)
           .build();
   QueryAudienceExportResponse response = betaAnalyticsDataClient.queryAudienceExport(request);
 }
 

Retrieves an audience export of users. After creating an audience, the users are not immediately available for exporting. First, a request to CreateAudienceExport is necessary to create an audience export of users, and then second, this method is used to retrieve the users in the audience export.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   String name = "name3373707";
   QueryAudienceExportResponse response = betaAnalyticsDataClient.queryAudienceExport(name);
 }
 

Retrieves an audience export of users. After creating an audience, the users are not immediately available for exporting. First, a request to CreateAudienceExport is necessary to create an audience export of users, and then second, this method is used to retrieve the users in the audience export.

See Creating an Audience Export for an introduction to Audience Exports with examples.

Audiences in Google Analytics 4 allow you to segment your users in the ways that are important to your business. To learn more, see https://support.google.com/analytics/answer/9267572.

Audience Export APIs have some methods at alpha and other methods at beta stability. The intention is to advance methods to beta stability after some feedback and adoption. To give your feedback on this API, complete the Google Analytics Audience Export API Feedback form.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   QueryAudienceExportRequest request =
       QueryAudienceExportRequest.newBuilder()
           .setName("name3373707")
           .setOffset(-1019779949)
           .setLimit(102976443)
           .build();
   ApiFuture<QueryAudienceExportResponse> future =
       betaAnalyticsDataClient.queryAudienceExportCallable().futureCall(request);
   // Do something.
   QueryAudienceExportResponse response = future.get();
 }
 

Returns a customized pivot report of your Google Analytics event data. Pivot reports are more advanced and expressive formats than regular reports. In a pivot report, dimensions are only visible if they are included in a pivot. Multiple pivots can be specified to further dissect your data.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunPivotReportRequest request =
       RunPivotReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .addAllDateRanges(new ArrayList<DateRange>())
           .addAllPivots(new ArrayList<Pivot>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setCurrencyCode("currencyCode1004773790")
           .setCohortSpec(CohortSpec.newBuilder().build())
           .setKeepEmptyRows(true)
           .setReturnPropertyQuota(true)
           .addAllComparisons(new ArrayList<Comparison>())
           .build();
   RunPivotReportResponse response = betaAnalyticsDataClient.runPivotReport(request);
 }
 

Returns a customized pivot report of your Google Analytics event data. Pivot reports are more advanced and expressive formats than regular reports. In a pivot report, dimensions are only visible if they are included in a pivot. Multiple pivots can be specified to further dissect your data.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunPivotReportRequest request =
       RunPivotReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .addAllDateRanges(new ArrayList<DateRange>())
           .addAllPivots(new ArrayList<Pivot>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setCurrencyCode("currencyCode1004773790")
           .setCohortSpec(CohortSpec.newBuilder().build())
           .setKeepEmptyRows(true)
           .setReturnPropertyQuota(true)
           .addAllComparisons(new ArrayList<Comparison>())
           .build();
   ApiFuture<RunPivotReportResponse> future =
       betaAnalyticsDataClient.runPivotReportCallable().futureCall(request);
   // Do something.
   RunPivotReportResponse response = future.get();
 }
 

Returns a customized report of realtime event data for your property. Events appear in realtime reports seconds after they have been sent to the Google Analytics. Realtime reports show events and usage data for the periods of time ranging from the present moment to 30 minutes ago (up to 60 minutes for Google Analytics 360 properties).

For a guide to constructing realtime requests & understanding responses, see Creating a Realtime Report.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunRealtimeReportRequest request =
       RunRealtimeReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setLimit(102976443)
           .addAllMetricAggregations(new ArrayList<MetricAggregation>())
           .addAllOrderBys(new ArrayList<OrderBy>())
           .setReturnPropertyQuota(true)
           .addAllMinuteRanges(new ArrayList<MinuteRange>())
           .build();
   RunRealtimeReportResponse response = betaAnalyticsDataClient.runRealtimeReport(request);
 }
 

Returns a customized report of realtime event data for your property. Events appear in realtime reports seconds after they have been sent to the Google Analytics. Realtime reports show events and usage data for the periods of time ranging from the present moment to 30 minutes ago (up to 60 minutes for Google Analytics 360 properties).

For a guide to constructing realtime requests & understanding responses, see Creating a Realtime Report.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunRealtimeReportRequest request =
       RunRealtimeReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setLimit(102976443)
           .addAllMetricAggregations(new ArrayList<MetricAggregation>())
           .addAllOrderBys(new ArrayList<OrderBy>())
           .setReturnPropertyQuota(true)
           .addAllMinuteRanges(new ArrayList<MinuteRange>())
           .build();
   ApiFuture<RunRealtimeReportResponse> future =
       betaAnalyticsDataClient.runRealtimeReportCallable().futureCall(request);
   // Do something.
   RunRealtimeReportResponse response = future.get();
 }
 

Returns a customized report of your Google Analytics event data. Reports contain statistics derived from data collected by the Google Analytics tracking code. The data returned from the API is as a table with columns for the requested dimensions and metrics. Metrics are individual measurements of user activity on your property, such as active users or event count. Dimensions break down metrics across some common criteria, such as country or event name.

For a guide to constructing requests & understanding responses, see Creating a Report.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunReportRequest request =
       RunReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .addAllDateRanges(new ArrayList<DateRange>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setOffset(-1019779949)
           .setLimit(102976443)
           .addAllMetricAggregations(new ArrayList<MetricAggregation>())
           .addAllOrderBys(new ArrayList<OrderBy>())
           .setCurrencyCode("currencyCode1004773790")
           .setCohortSpec(CohortSpec.newBuilder().build())
           .setKeepEmptyRows(true)
           .setReturnPropertyQuota(true)
           .addAllComparisons(new ArrayList<Comparison>())
           .build();
   RunReportResponse response = betaAnalyticsDataClient.runReport(request);
 }
 

Returns a customized report of your Google Analytics event data. Reports contain statistics derived from data collected by the Google Analytics tracking code. The data returned from the API is as a table with columns for the requested dimensions and metrics. Metrics are individual measurements of user activity on your property, such as active users or event count. Dimensions break down metrics across some common criteria, such as country or event name.

For a guide to constructing requests & understanding responses, see Creating a Report.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (BetaAnalyticsDataClient betaAnalyticsDataClient = BetaAnalyticsDataClient.create()) {
   RunReportRequest request =
       RunReportRequest.newBuilder()
           .setProperty("property-993141291")
           .addAllDimensions(new ArrayList<Dimension>())
           .addAllMetrics(new ArrayList<Metric>())
           .addAllDateRanges(new ArrayList<DateRange>())
           .setDimensionFilter(FilterExpression.newBuilder().build())
           .setMetricFilter(FilterExpression.newBuilder().build())
           .setOffset(-1019779949)
           .setLimit(102976443)
           .addAllMetricAggregations(new ArrayList<MetricAggregation>())
           .addAllOrderBys(new ArrayList<OrderBy>())
           .setCurrencyCode("currencyCode1004773790")
           .setCohortSpec(CohortSpec.newBuilder().build())
           .setKeepEmptyRows(true)
           .setReturnPropertyQuota(true)
           .addAllComparisons(new ArrayList<Comparison>())
           .build();
   ApiFuture<RunReportResponse> future =
       betaAnalyticsDataClient.runReportCallable().futureCall(request);
   // Do something.
   RunReportResponse response = future.get();
 }