How to efficiently organize indexing of a large volume of data when inserting it into a table without pre-created index structures?

When inserting a large volume of data into a table without pre-existing indexes, effective indexing can be organized as follows:

1. Insert data without indexes: first, insert all data into the table without indexes. This speeds up the operation since there's no need to update index structures with each insert.

2. Create indexes after loading: after loading the data, create the necessary indexes. Modern DBMSs optimize index building on already populated tables, which is usually faster than updating the index with each insert.

3. Use batch insert operations: if inserts are done in parts, use batch operations to reduce overhead.

4. Parallel processing: if supported by the DBMS, create indexes in parallel or use parallel inserts.

5. Configure DBMS parameters: temporarily disable or reduce logging and integrity checks if permissible to speed up insertion.

Example in Java using JDBC for batch insert:

String sql = "INSERT INTO my_table (col1, col2) VALUES (?, ?)";
try (PreparedStatement ps = connection.prepareStatement(sql)) {
    for (DataRow row : dataRows) {
        ps.setString(1, row.getCol1());
        ps.setInt(2, row.getCol2());
        ps.addBatch();
    }
    ps.executeBatch();
}
// After insertion, create indexes via SQL