Load a table in JSON format

Load a table with customer-managed encryption keys to Cloud Storage in JSON format.

Documentation pages that include this code sample

To view the code sample used in context, see the following documentation:

Code sample

Go

Before trying this sample, follow the Go setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Go API reference documentation. 

import (
	"context"
	"fmt"

	"cloud.google.com/go/bigquery"
)

// importJSONWithCMEK demonstrates loading newline-delimited JSON from Cloud Storage,
// and protecting the data with a customer-managed encryption key.
func importJSONWithCMEK(projectID, datasetID, tableID string) error {
	// projectID := "my-project-id"
	// datasetID := "mydataset"
	// tableID := "mytable"
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("bigquery.NewClient: %v", err)
	}
	defer client.Close()

	gcsRef := bigquery.NewGCSReference("gs://cloud-samples-data/bigquery/us-states/us-states.json")
	gcsRef.SourceFormat = bigquery.JSON
	gcsRef.AutoDetect = true
	loader := client.Dataset(datasetID).Table(tableID).LoaderFrom(gcsRef)
	loader.WriteDisposition = bigquery.WriteEmpty
	loader.DestinationEncryptionConfig = &bigquery.EncryptionConfig{
		// TODO: Replace this key with a key you have created in KMS.
		KMSKeyName: "projects/cloud-samples-tests/locations/us-central1/keyRings/test/cryptoKeys/test",
	}

	job, err := loader.Run(ctx)
	if err != nil {
		return err
	}
	status, err := job.Wait(ctx)
	if err != nil {
		return err
	}

	if status.Err() != nil {
		return fmt.Errorf("job completed with error: %v", status.Err())
	}

	return nil
}

Java

Before trying this sample, follow the Java setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Java API reference documentation. 

import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.EncryptionConfiguration;
import com.google.cloud.bigquery.FormatOptions;
import com.google.cloud.bigquery.Job;
import com.google.cloud.bigquery.JobInfo;
import com.google.cloud.bigquery.LoadJobConfiguration;
import com.google.cloud.bigquery.TableId;

// Sample to load JSON data with configuration key from Cloud Storage into a new BigQuery table
public class LoadJsonFromGcsCmek {

  public static void main(String[] args) {
    // TODO(developer): Replace these variables before running the sample.
    String datasetName = "MY_DATASET_NAME";
    String tableName = "MY_TABLE_NAME";
    String kmsKeyName = "MY_KMS_KEY_NAME";
    String sourceUri = "gs://cloud-samples-data/bigquery/us-states/us-states.json";
    // i.e. projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{cryptoKey}
    EncryptionConfiguration encryption =
        EncryptionConfiguration.newBuilder().setKmsKeyName(kmsKeyName).build();
    loadJsonFromGcsCmek(datasetName, tableName, sourceUri, encryption);
  }

  public static void loadJsonFromGcsCmek(
      String datasetName, String tableName, String sourceUri, EncryptionConfiguration encryption) {
    try {
      // Initialize client that will be used to send requests. This client only needs to be created
      // once, and can be reused for multiple requests.
      BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();

      TableId tableId = TableId.of(datasetName, tableName);
      LoadJobConfiguration loadConfig =
          LoadJobConfiguration.newBuilder(tableId, sourceUri)
              // Set the encryption key to use for the destination.
              .setDestinationEncryptionConfiguration(encryption)
              .setFormatOptions(FormatOptions.json())
              .setAutodetect(true)
              .build();

      // Load data from a GCS JSON file into the table
      Job job = bigquery.create(JobInfo.of(loadConfig));
      // Blocks until this load table job completes its execution, either failing or succeeding.
      job = job.waitFor();
      if (job.isDone()) {
        System.out.println("Table loaded succesfully from GCS with configuration key");
      } else {
        System.out.println(
            "BigQuery was unable to load into the table due to an error:"
                + job.getStatus().getError());
      }
    } catch (BigQueryException | InterruptedException e) {
      System.out.println("Column not added during load append \n" + e.toString());
    }
  }
}

Python

Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Python API reference documentation. 

from google.cloud import bigquery

# Construct a BigQuery client object.
client = bigquery.Client()

# TODO(developer): Set table_id to the ID of the table to create.
# table_id = "your-project.your_dataset.your_table_name

# Set the encryption key to use for the destination.
# TODO: Replace this key with a key you have created in KMS.
# kms_key_name = "projects/{}/locations/{}/keyRings/{}/cryptoKeys/{}".format(
#     "cloud-samples-tests", "us", "test", "test"
# )

job_config = bigquery.LoadJobConfig(
    autodetect=True,
    source_format=bigquery.SourceFormat.NEWLINE_DELIMITED_JSON,
    destination_encryption_configuration=bigquery.EncryptionConfiguration(
        kms_key_name=kms_key_name
    ),
)

uri = "gs://cloud-samples-data/bigquery/us-states/us-states.json"

load_job = client.load_table_from_uri(
    uri,
    table_id,
    location="US",  # Must match the destination dataset location.
    job_config=job_config,
)  # Make an API request.

assert load_job.job_type == "load"

load_job.result()  # Waits for the job to complete.

assert load_job.state == "DONE"
table = client.get_table(table_id)

if table.encryption_configuration.kms_key_name == kms_key_name:
    print("A table loaded with encryption configuration key")

What's next

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