Posts in category “Database”

Understanding `COUNT`, `LAST`, `FIRST`, and `NEXT` in PL/SQL Collections

TL;DR

In PL/SQL, COUNT, LAST, FIRST, and NEXT are essential for handling collections, especially if there are gaps (unpopulated indexes). Here’s a quick summary:

  • COUNT: Gives the number of populated entries.
  • LAST and FIRST: Identify the highest and lowest populated indexes, respectively.
  • NEXT: Finds the next populated index, skipping gaps automatically—great for sparse collections.

In PL/SQL programming, collections like nested tables, VARRAYs, and associative arrays are powerful tools for handling sets of data. However, understanding how to work with populated and unpopulated indexes can be tricky. That’s where COUNT, LAST, FIRST, and NEXT methods come into play. These methods let you manage and iterate over collections effectively, especially when dealing with gaps (unpopulated indexes). Let’s look at each one and how to use it.

1. COUNT

  • Purpose: Returns the number of populated elements in a collection.
  • Use Case: COUNT is useful when you need the exact count of entries in a collection, especially for fully populated collections without gaps.

Example:

DECLARE
  TYPE NumberTable IS TABLE OF NUMBER;
  v_numbers NumberTable := NumberTable(1, 2, 3, 4, 5); -- Fully populated
BEGIN
  DBMS_OUTPUT.PUT_LINE('COUNT: ' || v_numbers.COUNT);  -- Outputs: 5
END;

2. LAST

  • Purpose: Returns the highest populated index in the collection, whether all indexes are filled or not.
  • Use Case: When you need to find the highest valid index, such as for looping through all possible entries.

Example:

DECLARE
  TYPE NumberTable IS TABLE OF NUMBER INDEX BY PLS_INTEGER;
  v_numbers NumberTable;
BEGIN
  v_numbers(1) := 10;
  v_numbers(3) := 30; -- Gap at index 2
  v_numbers(5) := 50;

  DBMS_OUTPUT.PUT_LINE('LAST: ' || v_numbers.LAST);  -- Outputs: 5
END;

3. FIRST

  • Purpose: Returns the lowest populated index in the collection.
  • Use Case: Similar to LAST, FIRST is used when you want to start iterating from the lowest populated index.

Example:

DECLARE
  TYPE NumberTable IS TABLE OF NUMBER INDEX BY PLS_INTEGER;
  v_numbers NumberTable;
BEGIN
  v_numbers(2) := 20;
  v_numbers(4) := 40;

  DBMS_OUTPUT.PUT_LINE('FIRST: ' || v_numbers.FIRST);  -- Outputs: 2
END;

4. NEXT

  • Purpose: Given an index, NEXT returns the next highest populated index. If there are no more populated indexes after the current one, it returns NULL.
  • Use Case: NEXT is perfect for iterating only over populated elements, skipping gaps automatically.

Example:

DECLARE
  TYPE NumberTable IS TABLE OF NUMBER INDEX BY PLS_INTEGER;
  v_numbers NumberTable;
  v_index PLS_INTEGER;
BEGIN
  v_numbers(1) := 10;
  v_numbers(3) := 30;
  v_numbers(5) := 50;

  v_index := v_numbers.FIRST;
  WHILE v_index IS NOT NULL LOOP
    DBMS_OUTPUT.PUT_LINE('Value at index ' || v_index || ': ' || v_numbers(v_index));
    v_index := v_numbers.NEXT(v_index);
  END LOOP;
END;

Output:

Value at index 1: 10
Value at index 3: 30
Value at index 5: 50

Choosing the Right Method

  • COUNT is ideal for knowing how many elements are populated.
  • LAST and FIRST are great for determining the range of populated indexes.
  • NEXT is best when you want to loop through only populated elements, especially if there are gaps.

Key Takeaways

Using COUNT, LAST, FIRST, and NEXT effectively allows you to handle PL/SQL collections with gaps, optimize loops, and avoid errors when accessing unpopulated indexes. For sparse collections (with gaps), FIRST and NEXT are preferred over looping with 1..LAST to ensure you only interact with valid, populated indexes.

Best Practice for Gapped Collections

When working with collections that might have gaps, avoid using 1..COUNT or 1..LAST directly in loops, as they may access unpopulated indexes and cause errors. Instead:

  1. Use FIRST and NEXT to loop through only populated elements:

    • Start with v_index := v_collection.FIRST and use v_index := v_collection.NEXT(v_index) to move to the next populated index.
    • This skips gaps automatically, making it the most efficient way to handle sparse collections.
  2. Add NULL Checks if Necessary:

    • Even with FIRST and NEXT, you can add an IF condition to verify a non-null value for specific fields if you expect incomplete records.

Example:

DECLARE
  TYPE MyCollection IS TABLE OF NUMBER INDEX BY PLS_INTEGER;
  v_collection MyCollection;
  v_index PLS_INTEGER;
BEGIN
  v_collection(1) := 10;
  v_collection(3) := 30;
  v_collection(7) := 70;

  v_index := v_collection.FIRST;
  WHILE v_index IS NOT NULL LOOP
    DBMS_OUTPUT.PUT_LINE('Value at index ' || v_index || ': ' || v_collection(v_index));
    v_index := v_collection.NEXT(v_index);
  END LOOP;
END;

This approach ensures your code only processes valid elements, skipping over unpopulated entries smoothly.

Condtionally execute adjustment statements on MySQL

IF statement won't work directly in standard SQL scripts outside of a stored procedure or function in MySQL. Thus, we will have to use a different approach using CREATE PROCEDURE to encapsulate the logic. Here’s an example that you can reference to create a stored procedure to safely make the changes:

DELIMITER //

CREATE PROCEDURE AdjustFilesTable()
BEGIN
    -- Change FileExt from char(4) to char(5) if it exists
    IF (SELECT COUNT(*) FROM INFORMATION_SCHEMA.COLUMNS 
        WHERE TABLE_NAME = 'Files' AND COLUMN_NAME = 'FileExt') > 0 THEN
        SET @sql = 'ALTER TABLE Files CHANGE COLUMN FileExt FileExt CHAR(5) NOT NULL';
        PREPARE stmt FROM @sql;
        EXECUTE stmt;
        DEALLOCATE PREPARE stmt;
    END IF;

    -- Rename CreateAt to CreatedAt if it exists
    IF (SELECT COUNT(*) FROM INFORMATION_SCHEMA.COLUMNS 
        WHERE TABLE_NAME = 'Files' AND COLUMN_NAME = 'CreateAt') > 0 THEN
        SET @sql = 'ALTER TABLE Files CHANGE COLUMN CreateAt CreatedAt BIGINT DEFAULT NULL';
        PREPARE stmt FROM @sql;
        EXECUTE stmt;
        DEALLOCATE PREPARE stmt;
    END IF;

    -- Rename UpdateAt to UpdatedAt if it exists
    IF (SELECT COUNT(*) FROM INFORMATION_SCHEMA.COLUMNS 
        WHERE TABLE_NAME = 'Files' AND COLUMN_NAME = 'UpdateAt') > 0 THEN
        SET @sql = 'ALTER TABLE Files CHANGE COLUMN UpdateAt UpdatedAt BIGINT DEFAULT NULL';
        PREPARE stmt FROM @sql;
        EXECUTE stmt;
        DEALLOCATE PREPARE stmt;
    END IF;
END //

DELIMITER ;

-- Call the procedure to adjust the table
CALL AdjustFilesTable();

-- Optionally, drop the procedure afterwards
DROP PROCEDURE IF EXISTS AdjustFilesTable;

Explanation:

  1. Stored Procedure Creation: We create a stored procedure named AdjustFilesTable that contains the logic to adjust the table.
  2. Conditional Logic: Inside the procedure, we use IF statements to check for the existence of each column before attempting to alter it.
  3. Dynamic SQL Execution: We prepare, execute, and deallocate the statements as needed.
  4. Calling the Procedure: After creating the procedure, we call it to perform the adjustments.
  5. Cleanup: Optionally, you can drop the procedure afterward to prevent clutter.

Note:

  • Make sure you have the necessary permissions to create procedures in your MySQL environment.

Alternative to Oracle Regular expression for word boundaries

You might already know that Oracle regular expression doesn't support \b. However, we need it. So the answer is

(^|\W)yourstring(\W|$)

Reference

ORA-12704: character set mismatch in case statement

I met this issue when I SELECT CASE WHEN d.COUNTRY != 'AU' THEN 'Australia' ELSE countries.NAME END

BTW, I asked ChatGPT for help about this issue but unfortunately I didn't get a good answer.
One of the correct answers was

SELECT CASE WHEN d.COUNTRY != 'AU' THEN 'Australia' ELSE TO_CHAR(countries.NAME) END ...

I found the above answer myself and I told ChatGPT this answer. It replied

Great to hear that you were able to solve the issue! Yes, you can use the TO_CHAR function to convert the character set of the countries.NAME column to match the character set of your database. This is a common solution for character set mismatch errors. Using TO_CHAR function, you can explicitly specify the character set you want to convert to, like this:

TO_CHAR(countries.NAME, 'NLS_CHARACTERSET')

where 'NLS_CHARACTERSET' is the character set of your database. By default, Oracle uses the database's character set for character data that has no specified character set, so if you don't specify a character set for TO_CHAR, it will use the database's character set.

another answer is to use the CAST function in PL/SQL, here's an example from stackoverflow.com