bulk insert from Java into Oracle

You can use Spring's DAO module to batch insert many rows.

An example that inserts a collection of Order objects into the database in one update:

public class OrderRepositoryImpl extends SimpleJdbcDaoSupport implements
        OrderRepository {

    private final String saveSql = "INSERT INTO orders(userid, username, coffee, coffeename, amount) "
            + "VALUES(?, ?, ?, ?, ?)";

    public void saveOrders(final Collection<Order> orders) {
        List<Object[]> ordersArgumentList = new ArrayList<Object[]>(orders
                .size());

        Object[] orderArguments;
        for (Order order : orders) {
            orderArguments = new Object[] { order.getUserId(),
                    order.getUserName(), order.getCoffe(),
                    order.getCoffeeName(), order.getAmount() };

            ordersArgumentList.add(orderArguments);
        }

        getSimpleJdbcTemplate().batchUpdate(saveSql, ordersArgumentList);
    }
}

You don't say how you are passing these records to the database. The best way is to use an array, as this allows the use of Oracle's plenty of nifty FORALL bulk operations.

This example package has two procedures. One which populates a collection of T23 records (a table which comprises five numeric columns) and one which bulk inserts records into that table using an array.

SQL> create or replace package p23 as
  2      type t23_nt is table of t23%rowtype;
  3      function pop_array ( p_no in number )
  4          return t23_nt;
  5      procedure ins_table ( p_array in t23_nt );
  6  end p23;
  7  /

Package created.

SQL> create or replace package body p23 as
  2
  3      function pop_array ( p_no in number )
  4          return t23_nt
  5      is
  6          return_value t23_nt;
  7      begin
  8          select level,level,level,level,level
  9          bulk collect into return_value
 10          from dual
 11          connect by level <= p_no;
 12          return return_value;
 13      end pop_array;
 14
 15      procedure ins_table
 16              ( p_array in t23_nt )
 17      is
 18          s_time pls_integer;
 19      begin
 20
 21          s_time := dbms_utility.get_time;
 22
 23          forall r in p_array.first()..p_array.last()
 24              insert into t23
 25              values p_array(r);
 26
 27          dbms_output.put_line('loaded '
 28                  ||to_char(p_array.count())||' recs in '
 29                  ||to_char(dbms_utility.get_time - s_time)
 30                  ||' csecs');
 31      end ins_table;
 32  end p23;
 33  /

Package body created.

SQL>

Here is the output from some sample runs:

SQL> declare
  2      l_array p23.t23_nt;
  3  begin
  4      l_array := p23.pop_array(500);
  5      p23.ins_table(l_array);
  6      l_array := p23.pop_array(1000);
  7      p23.ins_table(l_array);
  8      l_array := p23.pop_array(2500);
  9      p23.ins_table(l_array);
 10      l_array := p23.pop_array(5000);
 11      p23.ins_table(l_array);
 12      l_array := p23.pop_array(10000);
 13      p23.ins_table(l_array);
 14      l_array := p23.pop_array(100000);
 15      p23.ins_table(l_array);
 16  end;
 17  /
loaded 500 recs in 0 csecs
loaded 1000 recs in 0 csecs
loaded 2500 recs in 0 csecs
loaded 5000 recs in 1 csecs
loaded 10000 recs in 1 csecs
loaded 100000 recs in 15 csecs

PL/SQL procedure successfully completed.

SQL>
SQL> select count(*) from t23
  2  /

  COUNT(*)
----------
    119000

SQL>

I think inserting 100,000 records in 0.15 seconds should please all but the most demanding of users. So, the question is, how do you approach your inserts?

Nowadays MySQL is Oracle so perhaps a simpler solution might be to stay on MySQL...

If not then you should make sure that the transaction is started before you start your group of inserts, once the group is finished then commit the transaction and start a new transaction for the next group of inserts.

Also check for unnecessary index definitions that may be slowing the insert time.

Updated...
Bulk inserting refers to the last step of ETL (Extract Transform Load), so have you considered using a java based ETL tool such as pentaho kettle or talend-studio.

Pentaho describes their Oracle Bulk loading facilities here.

A quick google also shows some preliminary evidence that Talend also has some support for Oracle bulk loading.

try it,

public Boolean inserTable(String fileName) {
    logger.info("Begin - " + this.getClass().getSimpleName() + "." + "inserTable");
        logger.info("File : " + fileName);
    try (Connection conn1 =  jdbcTemplate.getDataSource().getConnection();) {
        OracleConnection conn = ( OracleConnection ) conn1.getMetaData().getConnection();
        ScriptRunner sr = new ScriptRunner(conn);
        StringBuilder sBuffer = new StringBuilder();
        StringBuffer sb=new StringBuffer();
        String query = "Insert into TABLE_DATA (ID, DATA1, DATECREATED, CREATEDBY) Values ";
        String line = "";
        //Creating a reader object
        BufferedReader br = new BufferedReader(new FileReader(fileName),1024 * 1024 );
        while ((line = br.readLine()) != null) {
            //logger.info("Leyo linea : " + line);
            sb.append(query.concat("(").concat("TABLE_DATA_SQ.NEXTVAL,").concat(line.substring(0,6)).concat(",").concat("sysdate,").concat("'BDVENLINEA'").concat(");"));
            sb.append("\n");
        }
        sb.append("commit;");
        Reader reader = new StringReader(sb.toString());
        //Running the script
        sr.runScript(reader);
        reader.close();
        br.close();
        return true;
    } catch (FileNotFoundException e) {
        logger.error(e.getMessage(), e);
        throw new TechnicalException(e, e.getMessage());
    } catch (SQLException e) {
        e.printStackTrace();
        throw new TechnicalException(e, e.getMessage());
    } catch (IOException e) {
        e.printStackTrace();
        throw new TechnicalException(e, e.getMessage());
    } finally {
        logger.info("End   - " + this.getClass().getSimpleName() + "." + "inserTable");
    }
}