DDL로 루틴 만들기

DDL 쿼리를 통해 루틴을 만듭니다.

코드 샘플

Go

이 샘플을 사용해 보기 전에 BigQuery 빠른 시작: 클라이언트 라이브러리 사용의 Go 설정 안내를 따르세요. 자세한 내용은 BigQuery Go API 참고 문서를 확인하세요.

BigQuery에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 클라이언트 라이브러리의 인증 설정을 참조하세요.

import (
	"context"
	"fmt"

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

// createRoutineDDL demonstrates creating a new BigQuery UDF using a DDL query.
func createRoutineDDL(projectID, datasetID, routineID string) error {
	// projectID := "my-project-id"
	// datasetID := "mydatasetid"
	// routineID := "myroutineid"
	ctx := context.Background()

	client, err := bigquery.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("bigquery.NewClient: %w", err)
	}
	defer client.Close()

	routineName, err := client.Dataset(datasetID).Routine(routineID).Identifier(bigquery.StandardSQLID)
	if err != nil {
		return fmt.Errorf("couldn't generate identifier: %w", err)
	}

	sql := fmt.Sprintf(`CREATE FUNCTION %s(
        	arr ARRAY<STRUCT<name STRING, val INT64>>
    		) AS (
        	(SELECT SUM(IF(elem.name = "foo",elem.val,null)) FROM UNNEST(arr) AS elem)
    		)`, routineName)

	job, err := client.Query(sql).Run(ctx)
	if err != nil {
		return err
	}
	status, err := job.Wait(ctx)
	if err != nil {
		return err
	}
	if err := status.Err(); err != nil {
		return err
	}
	return nil
}

Java

이 샘플을 사용해 보기 전에 BigQuery 빠른 시작: 클라이언트 라이브러리 사용의 Java 설정 안내를 따르세요. 자세한 내용은 BigQuery Java API 참고 문서를 확인하세요.

BigQuery에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 클라이언트 라이브러리의 인증 설정을 참조하세요.

import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.Job;
import com.google.cloud.bigquery.JobInfo;
import com.google.cloud.bigquery.QueryJobConfiguration;

// Sample to create a routine using DDL
public class CreateRoutineDdl {

  public static void main(String[] args) {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "MY_PROJECT_ID";
    String datasetId = "MY_DATASET_ID";
    String routineId = "MY_ROUTINE_ID";
    String sql =
        "CREATE FUNCTION "
            + "`"
            + projectId
            + "."
            + datasetId
            + "."
            + routineId
            + "`"
            + "( arr ARRAY<STRUCT<name STRING, val INT64>>) AS "
            + "( (SELECT SUM(IF(elem.name = \"foo\",elem.val,null)) FROM UNNEST(arr) AS elem))";
    createRoutineDdl(sql);
  }

  public static void createRoutineDdl(String sql) {
    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();

      QueryJobConfiguration config = QueryJobConfiguration.newBuilder(sql).build();

      // create a routine using query and it will wait to complete job.
      Job job = bigquery.create(JobInfo.of(config));
      job = job.waitFor();
      if (job.isDone()) {
        System.out.println("Routine created successfully");
      } else {
        System.out.println("Routine was not created");
      }
    } catch (BigQueryException | InterruptedException e) {
      System.out.println("Routine was not created. \n" + e.toString());
    }
  }
}

Rust

use google_cloud_bigquery::client::BigQuery;

pub async fn sample(project_id: &str, dataset_id: &str, routine_id: &str) -> anyhow::Result<()> {
    let client = BigQuery::builder().build().await?;

    // Query parameters cannot be used as substitutes for identifiers, column names or table
    // names. Ensure resource identifiers are validated before formatting into SQL statements
    // to prevent SQL injection.
    validate_resource_names(project_id, dataset_id, routine_id)?;

    // Create a SQL UDF routine using standard SQL DDL
    let ddl_sql = format!(
        "CREATE OR REPLACE FUNCTION `{project_id}.{dataset_id}.{routine_id}`(x INT64, y INT64) \
         RETURNS INT64 \
         AS (x * y);"
    );

    client
        .query(ddl_sql)
        .with_project_id(project_id)
        .set_location("US")
        .run()
        .await?
        .until_done()
        .await?;

    println!("Routine `{dataset_id}.{routine_id}` created successfully using DDL.");
    Ok(())
}

다음 단계

다른 Google Cloud 제품의 코드 샘플을 검색하고 필터링하려면 Google Cloud 샘플 브라우저 참조하기