How to improve the performance of DB import using JDBC?

public void importCSV(){
   // Create a db connection if its null or closed.
   // Create PreparedStatement objects for selects and inserts if null or closed.

   for (Map<String, String> csvRecord : csvAsList) {
      // Prepare category object using csvRecord.
      // Check whether category exists in by.
      // Import files can have up to 1,00,000 records so tracking errors is critical.
      try{
         categoryDAO.findByName(categoryName,<PreparedStatement object>);
      }
      catch(Exception exp){
         // log this to error.csv file
      }
      // If its a new category import it to the db.
      try{   
         categoryDAO.insert(category,<PreparedStatement object>);
      }
      catch(Exception exp){
         // log this to error.csv file
      }
   }
   // Close PreparedStatement objects
   // Close DB Connection
}

public Category insert(Category category,PreparedStatement pstmt ) throws SQLException{

   if (category == null) {
      return null;
   }
   ResultSet rs = null;
   try {
      pstmt.setInt(1, category.getField1());
      pstmt.setString(2, category.getField2());
      int result = pstmt.executeUpdate();
      if (result < 1) {
         return null;
      }
      rs = pstmt.getGeneratedKeys();
      if (rs.next()) {
         category.setId(rs.getInt(1));
      }
   } finally {
      if (rs != null)
         rs.close();
   }
   return category;
}