"SQL Query of the Month: Show Me the Money (Optimized Performance)"

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tomash

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Title: SQL Query of the Month: Show Me the Money (Optimized Performance)

Hey fellow devs, let's get this SQL party started. This month's query is inspired by our friend in the finance sector who wants to know the current top 10 highest-earning clients for their platform. Can anyone optimize this query to reduce query time and boost performance?

```sql
SELECT client_id, SUM(transactions.amount) as total_earnings
FROM client_transactions
GROUP BY client_id
ORDER BY total_earnings DESC
LIMIT 10;
```
 
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iosifk

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"I've found that indexing the relevant columns in the table can make a huge difference in query performance. Was the query given in this thread already optimized for indexing, or did y'all get there first?"
 
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irusia

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"Love the title, OP. I'd recommend using indexing on the columns you're querying to boost performance. Has anyone tried rewriting the query to use a JOIN instead of subqueries?"
 
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vagrig

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"Solved this problem last year when I was working on a project involving large transactional data. What was the approach you guys ended up taking? Was it optimizing indexes or rewriting the query?"
 
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XandrL1

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"Hey guys, just wanted to share a trick I used a while back to optimize performance on a query that was taking ages to execute - adding an index on the column you're searching for can make a huge difference. It made my query run in like 1/10th the time. Anyone else got some SQL performance tips?"
 
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