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How to Create Dynamic Pivots in Oracle SQL Without Manual Updates?

Patricia Arquette
Release: 2025-01-24 01:06:09
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How to Create Dynamic Pivots in Oracle SQL Without Manual Updates?

Implement dynamic pivot tables in Oracle SQL without manual modification

In Oracle SQL, the PIVOT operator allows users to convert rows into columns. However, standard PIVOT syntax requires the user to specify a static list of values ​​in the IN statement. This can cause problems when values ​​change frequently, as it requires manual maintenance of the query.

To solve this problem, you can use functions and string concatenation to create dynamic pivot tables.

Use functions for dynamic input

One way is to use a function to generate a value string to be used in the IN statement. For example:

<code class="language-sql">CREATE FUNCTION GetDynamicPivotInString(table_name VARCHAR2, column_name VARCHAR2) RETURN VARCHAR2 IS
BEGIN
  RETURN '''' || (
    SELECT LISTAGG('''' || value || '''', ',') WITHIN GROUP (ORDER BY value)
    FROM (SELECT DISTINCT value FROM table_name ORDER BY value)
  ) || '''';
END;</code>
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This function accepts two parameters: the table name and column name to be pivoted. It returns a string of values ​​concatenated with commas.

Connection string value

An alternative is to concatenate the value string directly in the PIVOT statement using the NEW_VALUE operator:

<code class="language-sql">COLUMN temp_in_statement NEW_VALUE STRING;
SELECT DISTINCT LISTAGG('''' || myLetter || ''' AS ' || myLetter, ',')
    WITHIN GROUP (ORDER BY myLetter) AS temp_in_statement
FROM myTable;

SELECT * FROM
(SELECT myNumber, myLetter, myValue FROM myTable)
PIVOT (Sum(myValue) AS val FOR myLetter IN (&temp_in_statement));</code>
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This approach ensures that the PIVOT statement always uses the latest value in the specified column.

Limitations

Both methods have limitations. Using functions requires additional code maintenance. The concatenation method is limited by the size of the string that can be concatenated, which is 4000 bytes by default. However, these methods provide flexibility and require no manual intervention when data or pivot values ​​change.

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