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Esta página contiene ejemplos que muestran cómo ejecutar consultas mediante databricks JDBC Driver, versión 3 y posteriores.
Nota:
El controlador JDBC de Databricks tiene un límite de parámetros de 256 para instrucciones parametrizadas.
Ejemplo: Ejecución de una consulta
En el ejemplo siguiente se muestra cómo usar el controlador JDBC de Databricks para ejecutar una consulta sql de Databricks mediante un recurso de proceso de Azure Databricks.
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.Statement;
import java.util.Properties;
public class DatabricksJDBCExample {
public static void main(String[] args) {
Class.forName("com.databricks.client.jdbc.Driver");
// Set JDBC URL properties
String jdbcUrl = "jdbc:databricks://dbc-a1b2345c-d6e7.cloud.databricks.com:443";
Properties connectionProperties = new Properties();
connectionProperties.put("httpPath", "sql/protocolv1/o/123456780012345/0123-123450-z000pi22");
connectionProperties.put("ssl", "1");
// Set authentication properties (personal access token)
connectionProperties.put("AuthMech", "3");
connectionProperties.put("user", "token");
connectionProperties.put("password", "12345678901234667890abcdabcd");
// Set logging properties
connectionProperties.put("logPath", "logs/myapplication.log");
// Establish connection and execute query
try (Connection connection = DriverManager.getConnection(jdbcUrl, connectionProperties);
Statement statement = connection.createStatement();
ResultSet resultSet = statement.executeQuery("SELECT * FROM samples.nyctaxi.trips")) {
// Get metadata and column names
ResultSetMetaData metaData = resultSet.getMetaData();
String[] columns = new String[metaData.getColumnCount()];
for (int i = 0; i < columns.length; i++) {
columns[i] = metaData.getColumnName(i + 1);
}
// Process and print the result set
while (resultSet.next()) {
System.out.print("Row " + resultSet.getRow() + "=[");
for (int i = 0; i < columns.length; i++) {
if (i != 0) {
System.out.print(", ");
}
System.out.print(columns[i] + "='" + resultSet.getObject(i + 1) + "'");
}
System.out.println("]");
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
Ejemplo: Ejecución de una consulta de forma asincrónica
En los ejemplos siguientes se muestra cómo usar el controlador JDBC de Databricks para ejecutar y controlar una consulta SQL asincrónica de Databricks.
Para obtener referencia de API, consulte Referencia de API de Java para databricks JDBC Driver.
Inicie la ejecución asincrónica de una instrucción:
Statement statement = conn.createStatement();
IDatabricksStatement dbStatement = statement.unwrap(IDatabricksStatement.class);
ResultSet result = dbStatement.executeAsync(sql);
IDatabricksResultSet asyncResult = result.unwrap(IDatabricksResultSet.class);
IExecutionStatus asyncStatus = asyncResult.getExecutionStatus();
long startTime = System.currentTimeMillis();
while ((asyncStatus.getExecutionState() == ExecutionState.RUNNING | asyncStatus.getExecutionState() == ExecutionState.PENDING) || (startTime + timeout < System.currentTimeMillis())) {
Thread.sleep(1000); // Sleep for 1000 ms
asyncResult = dbStatement.getExecutionResult().unwrap(IDatabricksResultSet.class);
asyncStatus = asyncResult.getExecutionStatus();
}
if (asyncStatus.getExecutionStatus() == ExecutionState.RUNNING | ExecutionState.PENDING) {
dbStatement.cancel();
}
if (asyncStatus.getExecutionStatus() == ExecutionState.SUCCEEDED) {
// process result set
}
if (asyncStatus.getExecutionStatus() == ExecutionState.FAILED) {
String sqlState = asyncStatus.getSqlState();
String errorMessage = asyncStatus.getErrorMessage();
// log error code and message
}
Gestione una instrucción en un subproceso independiente:
Statement statement = conn1.createStatement();
IDatabricksStatement dbStatement = statement.unwrap(IDatabricksStatement.class);
ResultSet asyncResult = dbStatement.executeAsync(sql);
IDatabricksResultSet drs = asyncResult.unwrap(IDatabricksResultSet.class);
String statementId = drs.getStatementId();
ExecutionState state = drs.getExecutionStatus().getExecutionState();
while (state != ExecutionState.SUCCEEDED) {
Thread.sleep(sleepInterval);
asyncResult = dbStatement.getExecutionResult();
state = asyncResult.unwrap(IDatabricksResultSet.class).getExecutionStatus().getExecutionState();
}
// In another thread
IDatabricksConnection dbConn2 = conn2.unwrap(IDatabricksConnection.class);
IDatabricksStatement asyncStatementHandle = dbConn2.getStatement(statementId).unwrap(IDatabricksStatement.class);
IDatabricksResultSet asyncResultHandle = asyncStatementHandle.getExecutionResult().unwrap(IDatabricksResultSet.class);
// Cancel if needed
if (asyncResultHandle.getExecutionStatus().getExecutionState() == ExecutionState.PENDING | asyncResultHandle.getExecutionStatus().getExecutionState() == ExecutionState.RUNNING) {
asyncStatementHandle.cancel();
}
Cierre una conexión mediante un identificador de conexión:
// Get connection-Id from existing connection
String connectionId = conn.unwrap(IDatabricksConnection.class).getConnectionId();
// Close the connection from other thread using same JDBC Url and connection properties and connection-Id retrieved from above
com.databricks.client.jdbc.Driver.getInstance().closeConnection(jdbcUrl, properties, connectionId);
Ejemplo: Consulta de datos geoespaciales
En el ejemplo siguiente se muestra cómo consultar y recuperar tipos de datos geoespaciales mediante el controlador JDBC de Databricks. Para recuperar datos geoespaciales como objetos de Java estructurados, habilite las EnableComplexDatatypeSupport propiedades de conexión y EnableGeoSpatialSupport .
Para obtener más información sobre los tipos y funciones geoespaciales, consulte Funciones geoespaciales ST.
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.Statement;
import java.util.Properties;
import com.databricks.jdbc.api.IGeometry;
import com.databricks.jdbc.api.IGeography;
public class GeospatialExample {
public static void main(String[] args) {
// Set JDBC URL properties
String jdbcUrl = "jdbc:databricks://dbc-a1b2345c-d6e7.cloud.databricks.com:443";
Properties connectionProperties = new Properties();
connectionProperties.put("httpPath", "sql/protocolv1/o/123456780012345/0123-123450-z000pi22");
connectionProperties.put("ssl", "1");
// Set authentication properties (personal access token)
connectionProperties.put("AuthMech", "3");
connectionProperties.put("user", "token");
connectionProperties.put("password", "12345678901234667890abcdabcd");
// Enable geospatial support
connectionProperties.put("EnableComplexDatatypeSupport", "1");
connectionProperties.put("EnableGeoSpatialSupport", "1");
// Establish connection and execute geospatial query
try (Connection connection = DriverManager.getConnection(jdbcUrl, connectionProperties);
Statement statement = connection.createStatement();
ResultSet rs = statement.executeQuery(
"SELECT ST_Point(1.0, 2.0) as point, " +
"ST_GeogFromText('POINT(-122.4194 37.7749)') as location")) {
while (rs.next()) {
// Retrieve GEOMETRY object
IGeometry point = (IGeometry) rs.getObject("point");
System.out.println("Point WKT: " + point.getWKT());
System.out.println("Point SRID: " + point.getSRID());
// Retrieve GEOGRAPHY object
IGeography location = (IGeography) rs.getObject("location");
System.out.println("Location WKT: " + location.getWKT());
System.out.println("Location SRID: " + location.getSRID());
// Metadata
ResultSetMetaData meta = rs.getMetaData();
System.out.println("Column 1 type: " + meta.getColumnTypeName(1)); // GEOMETRY
System.out.println("Column 1 class: " + meta.getColumnClassName(1)); // com.databricks.jdbc.api.IGeometry
System.out.println("Column 2 type: " + meta.getColumnTypeName(2)); // GEOGRAPHY
System.out.println("Column 2 class: " + meta.getColumnClassName(2)); // com.databricks.jdbc.api.IGeography
}
} catch (Exception e) {
e.printStackTrace();
}
}
}