Routines: Create routine with DDL

Code Sample

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.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());
    }
  }
}

Node.js

Before trying this sample, follow the Node.js setup instructions in the BigQuery Quickstart Using Client Libraries. For more information, see the BigQuery Node.js API reference documentation.

// Import the Google Cloud client library and create a client
const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();

async function createRoutineDDL() {
  // Creates a routine using DDL.

  /**
   * TODO(developer): Uncomment the following lines before running the sample.
   */
  // projectId = 'my_project';
  // const datasetId = 'my_dataset';
  // const routineId = 'my_routine';

  const query = `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)
  )`;

  const options = {
    query: query,
  };

  // Run the query as a job
  const [job] = await bigquery.createQueryJob(options);
  console.log(`Job ${job.id} started.`);

  // Wait for the query to finish
  await job.getQueryResults();

  console.log(`Routine ${routineId} created.`);
}
createRoutineDDL();

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): Choose a fully-qualified ID for the routine.
# routine_id = "my-project.my_dataset.my_routine"

sql = """
CREATE FUNCTION `{}`(
    arr ARRAY<STRUCT<name STRING, val INT64>>
) AS (
    (SELECT SUM(IF(elem.name = "foo",elem.val,null)) FROM UNNEST(arr) AS elem)
)
""".format(
    routine_id
)
query_job = client.query(sql)  # Make an API request.
query_job.result()  # Wait for the job to complete.

print("Created routine {}".format(query_job.ddl_target_routine))