Search in Nested Tables and Insert the result into new Nested Table!

Question

How can I search in Nested Tables ex: (pr_travel_date_range,pr_bo_arr) using the SQL below and insert the result into a new Nested Table: ex:g_splited_range_arr.
Here are the DDL and DML SQLs;
Don't worry about the NUMBER( 8 )
CREATE OR REPLACE TYPE DATE_RANGE IS OBJECT ( start_date NUMBER( 8 ), end_date NUMBER( 8 ) );
CREATE OR REPLACE TYPE DATE_RANGE_ARR IS TABLE OF DATE_RANGE;
DECLARE
   g_splited_range_arr   DATE_RANGE_ARR := DATE_RANGE_ARR( );
   g_travel_range        DATE_RANGE := DATE_RANGE( '20110101', '99991231' );
   g_bo_arr              DATE_RANGE_ARR := DATE_RANGE_ARR( DATE_RANGE( '20110312', '20110317' ), DATE_RANGE( '20110315', '20110329' ) );
   FUNCTION split_date_sql( pr_travel_date_range    DATE_RANGE,
                            pr_bo_arr               DATE_RANGE_ARR )
      RETURN DATE_RANGE_ARR
   IS
      l_splited_range_arr   DATE_RANGE_ARR;
   BEGIN
      SELECT start_date, end_date
        INTO l_splited_range_arr(start_date, end_date)
        FROM (WITH all_dates
                      AS (SELECT tr_start_date AS a_date, 0 AS black_out_val FROM TABLE( pr_travel_date_range )
                          UNION ALL
                          SELECT tr_end_date, 0 FROM TABLE( pr_travel_date_range )
                          UNION ALL
                          SELECT bo_start_date - 1, 1 FROM TABLE( pr_bo_arr )
                          UNION ALL
                          SELECT bo_end_date + 1, -1 FROM TABLE( pr_bo_arr )),
                   got_analytics
                      AS (SELECT a_date AS start_date,
                                 LEAD( a_date ) OVER (ORDER BY a_date, black_out_val) AS end_date,
                                 SUM( black_out_val ) OVER (ORDER BY a_date, black_out_val) AS black_out_cnt
                            FROM all_dates)
                SELECT start_date, end_date
                  FROM got_analytics
                 WHERE black_out_cnt = 0 AND start_date < end_date
              ORDER BY start_date);
      RETURN l_splited_range_arr;
   END;
BEGIN
    g_splited_range_arr := split_date_sql(g_travel_range,g_bo_arr);
    FOR index_g_splited_range_arr IN g_splited_range_arr .FIRST .. g_splited_range_arr .LAST LOOP       
        DBMS_OUTPUT.PUT_LINE('g_splited_range_arr[' || index_g_splited_range_arr || ']: ' || g_splited_range_arr(index_g_splited_range_arr).start_date || '-'  || g_splited_range_arr(index_g_splited_range_arr).end_date );
    END LOOP;
EXCEPTION
   WHEN NO_DATA_FOUND
   THEN
      NULL;
   WHEN OTHERS
   THEN
      NULL;
END;Or can I create a VIEW with parameters of Nested Tables in it so I can simply call
SELECT  *
  BULK COLLECT INTO g_splited_range_arr
  FROM view_split_date(g_travel_range,g_bo_arr);

Answer 1

@riedelme
For your questions:
1) I don't want to store in the database as a nested table
2) I don't want to retrieve data from the database. Data will come from function split_date() parameter and data will be processed in the function and function will return it in nested table format. For more detail please look at the raw function SQL.
I have a SQL like:
WITH all_dates
        AS (SELECT tr_start_date AS a_date, 0 AS black_out_val FROM travel
            UNION ALL
            SELECT tr_end_date, 0 FROM travel
            UNION ALL
            SELECT bo_start_date - 1, 1 FROM black_out_dates
            UNION ALL
            SELECT bo_end_date + 1, -1 FROM black_out_dates),
     got_analytics
        AS (SELECT a_date AS start_date,
                   LEAD( a_date ) OVER (ORDER BY a_date, black_out_val)
                      AS end_date,
                   SUM( black_out_val ) OVER (ORDER BY a_date, black_out_val)
                      AS black_out_cnt
              FROM all_dates)
  SELECT start_date, end_date
    FROM got_analytics
   WHERE black_out_cnt = 0 AND start_date < end_date
ORDER BY start_date;I want to change the tables black_out_dates and travel to Nested Array so I can use it in a function with Nested Array travel and Nested Array black_out_dates parameters and the function will return Nested Array of date ranges.
Here is what I want in raw SQL:
    DECLARE
       g_splited_range_arr   DATE_RANGE_ARR := DATE_RANGE_ARR( );
       g_travel_range        DATE_RANGE := DATE_RANGE( '20110101', '99991231' );
       g_bo_arr              DATE_RANGE_ARR := DATE_RANGE_ARR( DATE_RANGE( '20110312', '20110317' ), DATE_RANGE( '20110315', '20110329' ) );
       FUNCTION split_date_sql( pr_travel_date_range    DATE_RANGE,
                                pr_bo_arr               DATE_RANGE_ARR )
          RETURN DATE_RANGE_ARR
       IS
          l_splited_range_arr   DATE_RANGE_ARR;
       BEGIN
          SELECT start_date, end_date
            INTO l_splited_range_arr(start_date, end_date)
            FROM (WITH all_dates
                          AS (SELECT tr_start_date AS a_date, 0 AS black_out_val FROM TABLE( pr_travel_date_range )
                              UNION ALL
                              SELECT tr_end_date, 0 FROM TABLE( pr_travel_date_range )
                              UNION ALL
                              SELECT bo_start_date - 1, 1 FROM TABLE( pr_bo_arr )
                              UNION ALL
                              SELECT bo_end_date + 1, -1 FROM TABLE( pr_bo_arr )),
                       got_analytics
                          AS (SELECT a_date AS start_date,
                                     LEAD( a_date ) OVER (ORDER BY a_date, black_out_val) AS end_date,
                                     SUM( black_out_val ) OVER (ORDER BY a_date, black_out_val) AS black_out_cnt
                                FROM all_dates)
                    SELECT start_date, end_date
                      FROM got_analytics
                     WHERE black_out_cnt = 0 AND start_date < end_date
                  ORDER BY start_date);
          RETURN l_splited_range_arr;
       END;
    BEGIN
        g_splited_range_arr := split_date_sql(g_travel_range,g_bo_arr);
        FOR index_g_splited_range_arr IN g_splited_range_arr .FIRST .. g_splited_range_arr .LAST LOOP       
            DBMS_OUTPUT.PUT_LINE('g_splited_range_arr[' || index_g_splited_range_arr || ']: ' || g_splited_range_arr(index_g_splited_range_arr).start_date || '-'  || g_splited_range_arr(index_g_splited_range_arr).end_date );
        END LOOP;
    EXCEPTION
       WHEN NO_DATA_FOUND
       THEN
          NULL;
       WHEN OTHERS
       THEN
          NULL;
    END;I must change the tables black_out_dates and travel in a way so it will be something like
FROM TABLE( pr_travel_date_range )to get the result into l_splited_range_arr so it will be something like
          SELECT start_date, end_date
            INTO l_splited_range_arr(start_date, end_date)
            FROM (