Get total rows

Run a query and get total rows.

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.

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import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.QueryJobConfiguration;
import com.google.cloud.bigquery.TableResult;

// Sample to run query total rows
public class QueryTotalRows {

  public static void main(String[] args) {
    String query =
        "SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013`"
            + " WHERE state = \"TX\""
            + " LIMIT 100";
    queryTotalRows(query);
  }

  public static void queryTotalRows(String query) {
    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();

      TableResult results = bigquery.query(QueryJobConfiguration.of(query));

      System.out.println("Query total rows performed successfully." + results.getTotalRows());
    } catch (BigQueryException | InterruptedException e) {
      System.out.println("Query not performed \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.

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# from google.cloud import bigquery
# client = bigquery.Client()

query = (
    "SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` "
    'WHERE state = "TX" '
    "LIMIT 100"
)
query_job = client.query(
    query,
    # Location must match that of the dataset(s) referenced in the query.
    location="US",
)  # API request - starts the query

results = query_job.result()  # Wait for query to complete.
print("Got {} rows.".format(results.total_rows))

What's next

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