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Transforming Comma-Delimited Data in Oracle Databases
Oracle databases frequently store data as comma-separated values within a single column, hindering efficient data manipulation and retrieval. This article presents several methods to effectively convert this comma-delimited data into individual rows, improving data analysis and processing.
Method 1: Recursive Query with Regular Expressions
This elegant solution uses a recursive query and regular expressions for efficient value extraction:
<code class="language-sql">select distinct id, trim(regexp_substr(value,'[^,]+', 1, level) ) value, level from tbl1 connect by regexp_substr(value, '[^,]+', 1, level) is not null order by id, level;</code>
The CONNECT BY
clause iterates through the comma-separated values, while REGEXP_SUBSTR
extracts each substring.
Method 2: ANSI-Compliant Approach with CTE
For enhanced portability, a Common Table Expression (CTE) offers an ANSI-compliant alternative:
<code class="language-sql">with t (id,res,val,lev) as ( select id, trim(regexp_substr(value,'[^,]+', 1, 1 )) res, value as val, 1 as lev from tbl1 where regexp_substr(value, '[^,]+', 1, 1) is not null union all select id, trim(regexp_substr(val,'[^,]+', 1, lev+1) ) res, val, lev+1 as lev from t where regexp_substr(val, '[^,]+', 1, lev+1) is not null ) select id, res,lev from t order by id, lev;</code>
This recursive CTE achieves the same outcome as the previous method.
Method 3: Recursive Approach without Regular Expressions
A third option avoids regular expressions, relying solely on string manipulation:
<code class="language-sql">WITH t ( id, value, start_pos, end_pos ) AS ( SELECT id, value, 1, INSTR( value, ',' ) FROM tbl1 UNION ALL SELECT id, value, end_pos + 1, INSTR( value, ',', end_pos + 1 ) FROM t WHERE end_pos > 0 ) SELECT id, SUBSTR( value, start_pos, DECODE( end_pos, 0, LENGTH( value ) + 1, end_pos ) - start_pos ) AS value FROM t ORDER BY id, start_pos;</code>
This method leverages the INSTR
function to find comma positions and SUBSTR
to extract the values.
These techniques offer efficient and reliable solutions for transforming comma-separated values into rows within an Oracle database, facilitating improved data handling and analysis.
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