Exportieren Sie ein Asset-Inventar nach BigQuery.
Dokumentationsseiten mit diesem Codebeispiel
Die folgenden Dokumente enthalten das Codebeispiel im Kontext:
Codebeispiel
Go
// Sample asset-quickstart exports assets to given bigquery table.
package main
import (
"context"
"fmt"
"log"
"os"
"strings"
asset "cloud.google.com/go/asset/apiv1"
assetpb "google.golang.org/genproto/googleapis/cloud/asset/v1"
)
func main() {
ctx := context.Background()
projectID := os.Getenv("GOOGLE_CLOUD_PROJECT")
client, err := asset.NewClient(ctx)
if err != nil {
log.Fatalf("asset.NewClient: %v", err)
}
defer client.Close()
datasetID := strings.Replace(fmt.Sprintf("%s-for-assets", projectID), "-", "_", -1)
dataset := fmt.Sprintf("projects/%s/datasets/%s", projectID, datasetID)
req := &assetpb.ExportAssetsRequest{
Parent: fmt.Sprintf("projects/%s", projectID),
OutputConfig: &assetpb.OutputConfig{
Destination: &assetpb.OutputConfig_BigqueryDestination{
BigqueryDestination: &assetpb.BigQueryDestination{
Dataset: dataset,
Table: "test",
},
},
},
}
op, err := client.ExportAssets(ctx, req)
if err != nil {
log.Fatalf("ExportAssets: %v", err)
}
resp, err := op.Wait(ctx)
if err != nil {
log.Fatalf("Wait: %v", err)
}
fmt.Print(resp)
}
Java
// Imports the Google Cloud client library
import com.google.cloud.ServiceOptions;
import com.google.cloud.asset.v1.AssetServiceClient;
import com.google.cloud.asset.v1.BigQueryDestination;
import com.google.cloud.asset.v1.ExportAssetsRequest;
import com.google.cloud.asset.v1.ExportAssetsResponse;
import com.google.cloud.asset.v1.OutputConfig;
import com.google.cloud.asset.v1.ProjectName;
public class ExportAssetsBigqueryExample {
// Use the default project Id.
private static final String projectId = ServiceOptions.getDefaultProjectId();
// Export assets for a project.
// @param args path where the results will be exported to.
public static void exportBigQuery(String bigqueryDataset, String bigqueryTable) throws Exception {
try (AssetServiceClient client = AssetServiceClient.create()) {
ProjectName parent = ProjectName.of(projectId);
OutputConfig outputConfig =
OutputConfig.newBuilder()
.setBigqueryDestination(
BigQueryDestination.newBuilder()
.setDataset(bigqueryDataset)
.setTable(bigqueryTable)
.setForce(true)
.build())
.build();
ExportAssetsRequest request =
ExportAssetsRequest.newBuilder()
.setParent(parent.toString())
.setOutputConfig(outputConfig)
.build();
ExportAssetsResponse response = client.exportAssetsAsync(request).get();
System.out.println(response);
}
}
}Python
from google.cloud import asset_v1
# TODO project_id = 'Your Google Cloud Project ID'
# TODO dataset = 'Your BigQuery dataset path'
# TODO table = 'Your BigQuery table name'
client = asset_v1.AssetServiceClient()
parent = "projects/{}".format(project_id)
content_type = asset_v1.ContentType.RESOURCE
output_config = asset_v1.OutputConfig()
output_config.bigquery_destination.dataset = dataset
output_config.bigquery_destination.table = table
output_config.bigquery_destination.force = True
response = client.export_assets(
request={
"parent": parent,
"content_type": content_type,
"output_config": output_config
}
)
print(response.result())