?? Ace Your Next Data Analysis Interview with SQL!
Question: "How can you identify duplicate records in a table, and how would you retrieve only those duplicates?"
Answer: To identify duplicate records, you can use the GROUP BY clause with an aggregate function like COUNT(). For example:
SELECT column_name, COUNT(*)
FROM table_name
GROUP BY column_name
HAVING COUNT(*) > 1;
?? This query groups the data by a specific column (or columns) and filters for records that appear more than once.
To retrieve the full details of the duplicate rows, you can use this query:
WITH CTE AS (
SELECT column_name, COUNT(*) AS cnt
FROM table_name
GROUP BY column_name
HAVING COUNT(*) > 1
)
SELECT t.*
FROM table_name t
JOIN CTE c
ON t.column_name = c.column_name;
Have you come across this question before? How did you tackle it? Let’s discuss in the comments!
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Oracle database administrator ||Oracle DBA @Wipro Ltd || Az-900 Certified Professional Cloud Database Engineer || Database Automation & Optimization Specialist||BITS||
3 个月Great post! Another key aspect to consider in SQL for data analysis is the importance of optimizing query performance. Efficient indexing, understanding execution plans, and writing well-structured queries can significantly reduce processing time and resource consumption. Additionally, leveraging window functions can provide powerful insights for complex analytical tasks. Always ensure your data is clean and well-organized to get the most accurate results from your analyses.