Examples with BigQuerySource com.google.cloud.automl.v1beta1.BigQuerySource used on opensource projects

Example 1 with BigQuerySource

use of com.google.cloud.automl.v1beta1.BigQuerySource in project java-automl by googleapis.

the class TablesBatchPredictBigQuery method batchPredict.

static void batchPredict(String projectId, String modelId, String inputUri, String outputUri) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient client = PredictionServiceClient.create()) {
        // Get the full path of the model.
        ModelName name = ModelName.of(projectId, "us-central1", modelId);
        // Configure the source of the file from BigQuery
        BigQuerySource bigQuerySource = BigQuerySource.newBuilder().setInputUri(inputUri).build();
        BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().setBigquerySource(bigQuerySource).build();
        // Configure where to store the output in BigQuery
        BigQueryDestination bigQueryDestination = BigQueryDestination.newBuilder().setOutputUri(outputUri).build();
        BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().setBigqueryDestination(bigQueryDestination).build();
        // Build the request that will be sent to the API
        BatchPredictRequest request = BatchPredictRequest.newBuilder().setName(name.toString()).setInputConfig(inputConfig).setOutputConfig(outputConfig).build();
        // Start an asynchronous request
        OperationFuture<BatchPredictResult, OperationMetadata> future = client.batchPredictAsync(request);
        System.out.println("Waiting for operation to complete...");
        BatchPredictResult response = future.get();
        System.out.println("Batch Prediction results saved to BigQuery.");
    }
}

Example 2 with BigQuerySource

use of com.google.cloud.automl.v1beta1.BigQuerySource in project java-automl by googleapis.

the class TablesImportDataset method importDataset.

// Import a dataset via BigQuery or Google Cloud Storage
static void importDataset(String projectId, String datasetId, String path) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (AutoMlClient client = AutoMlClient.create()) {
        // Get the complete path of the dataset.
        DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
        InputConfig.Builder inputConfigBuilder = InputConfig.newBuilder();
        // Determine which source type was used for the input path (BigQuery or GCS)
        if (path.startsWith("bq")) {
            // Get training data file to be imported from a BigQuery source.
            BigQuerySource.Builder bigQuerySource = BigQuerySource.newBuilder();
            bigQuerySource.setInputUri(path);
            inputConfigBuilder.setBigquerySource(bigQuerySource);
        } else {
            // Get multiple Google Cloud Storage URIs to import data from
            GcsSource gcsSource = GcsSource.newBuilder().addAllInputUris(Arrays.asList(path.split(","))).build();
            inputConfigBuilder.setGcsSource(gcsSource);
        }
        // Import data from the input URI
        System.out.println("Processing import...");
        Empty response = client.importDataAsync(datasetFullId, inputConfigBuilder.build()).get();
        System.out.format("Dataset imported. %s%n", response);
    }
}