Updated on 2023-08-31 GMT+08:00

Java Sample Code

Function

The JDBC API of the user-defined client is used to submit a data analysis task and return the results.

Sample Code

  1. Define an SQL statement. SQL must be a single statement and cannot contain ";". The following is an example.

    ArrayList<String> sqlList = new ArrayList<String>();
    sqlList.add("CREATE TABLE CHILD (NAME STRING, AGE INT) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE");
    sqlList.add("LOAD DATA INPATH 'hdfs://hacluster/home/data' INTO TABLE CHILD");
    sqlList.add("SELECT * FROM child");
    sqlList.add("DROP TABLE child");
    executeSql(url, sqlList);

  2. Assemble the JDBC URL.

    Configuration config = new Configuration();
    config.addResource(new Path(args[0]));
    String zkUrl = config.get("spark.deploy.zookeeper.url");
    
    String zkNamespace = null;
    zkNamespace = fileInfo.getProperty("spark.thriftserver.zookeeper.namespace");
    if (zkNamespace != null) {
        //Remove redundant characters from configuration items
       zkNamespace = zkNamespace.substring(1);
    }
    
    StringBuilder sb = new StringBuilder("jdbc:hive2://"
            + zkUrl
            + "/;serviceDiscoveryMode=zooKeeper;"
            + "zooKeeperNamespace="
            + zkNamespace + ";");
    String url = sb.toString();

  3. Load the Hive JDBC driver.

    Class.forName("org.apache.hive.jdbc.HiveDriver").newInstance();

  4. Obtain the JDBC connection, execute the HQL, export the obtained column name and results to the console, and close the JDBC connection.

    The zk.quorum in the connection string can be replaced by spark.deploy.zookeeper.url in the configuration file.

    In network congestion, configure the timeout of the connection between the client and JDBCServer to avoid the suspending of the client due to timeless wait of the return from the server. The method is as follows:

    Before using the DriverManager.getConnection method to obtain the JDBC connection, add the DriverManager.setLoginTimeout(n) method to configure a timeout interval. n indicates the timeout interval for waiting for the return result from the server. The unit is second, the type is Int, and the default value is 0 (indicating never timing out).

    static void executeSql(String url, ArrayList<String> sqls) throws ClassNotFoundException, SQLException {
            try {
                Class.forName("org.apache.hive.jdbc.HiveDriver").newInstance();
            } catch (Exception e) {
                e.printStackTrace();
            }
            Connection connection = null;
            PreparedStatement statement = null;
    
            try {
                connection = DriverManager.getConnection(url);
                for (int i = 0 ; i < sqls.size(); i++) {
                    String sql = sqls.get(i);
                    System.out.println("---- Begin executing sql: " + sql + " ----");
                    statement = connection.prepareStatement(sql);
                    ResultSet result = statement.executeQuery();
                    ResultSetMetaData resultMetaData = result.getMetaData();
                    Integer colNum = resultMetaData.getColumnCount();
                    for (int j = 1; j <= colNum; j++) {
                        System.out.println(resultMetaData.getColumnLabel(j) + "\t");
                    }
                    System.out.println();
    
                    while (result.next()) {
                        for (int j = 1; j <= colNum; j++){
                            System.out.println(result.getString(j) + "\t");
                        }
                        System.out.println();
                    }
                    System.out.println("---- Done executing sql: " + sql + " ----");
                }
    
    
            } catch (Exception e) {
                e.printStackTrace();
            } finally {
                if (null != statement) {
                    statement.close();
                }
                if (null != connection) {
                    connection.close();
                }
            }
        }