Identifying and Counting Duplicate Records in Oracle Tables
Maintaining data integrity and database performance in large Oracle databases requires efficient methods for detecting and managing duplicate records. Oracle SQL offers powerful tools to accomplish this.
SQL Query for Finding Duplicate Values
The following SQL statement effectively identifies duplicate values and their frequency within an Oracle table:
<code class="language-sql">SELECT column_name, COUNT(*) AS duplicate_count FROM table_name GROUP BY column_name HAVING COUNT(*) > 1;</code>
Illustrative Example: Duplicate JOB_NUMBERs
Let's assume a "JOBS" table with a "JOB_NUMBER" column. To pinpoint duplicate JOB_NUMBERs and their counts, use this query:
<code class="language-sql">SELECT JOB_NUMBER, COUNT(*) AS duplicate_count FROM JOBS GROUP BY JOB_NUMBER HAVING COUNT(*) > 1;</code>
This query will list all JOB_NUMBERs appearing more than once, along with their occurrence counts. This information is crucial for identifying and addressing duplicate records, enabling further analysis or data cleansing operations.
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