Merge two rows in SQL
Need a speedy SQL solution? GROUP BY
with an aggregate function will get you out of a bind. For numbers, use the SUM()
function; for strings, GROUP_CONCAT()
has got your back:
Now, enjoy a nice summarised row per unique customer_id
.
Using Aggregate functions for non-null values
Handling NULL values? No problem. MAX
function's got our back. It can blend non-null values perfectly, like a well-prepared smoothie:
Noticed how it got all the non-null values from Field1
and Field2
based on each FK
into unique rows? Now, that's a smooth operation.
Subqueries: The Merging Sidekick
Subqueries are like butlers, they fetch what you need right where it is needed. Just ensure to return the right rows to avoid misplacing your precious data:
You can think of subqueries like SQL's room service: "Fetch me the MAX
value from this room called your_table
".
Preserving data integrity and dodging performance issues
Data integrity and performance are the dynamic duo of every SQL management story. Here are some tips to keep both in check:
- Use
WHERE
clauses to filter like a barista brewing the perfect blend. - Don't invite subqueries that may return more than a single row per key.
- Ensure join values stay consistent across all subqueries like a dedicated ballet dancer.
Here's how LEFT JOIN
steps in for that high-efficiency merge:
When complexity strikes, remember: Maintainability, Scalability, Simplicity.
The Art of Merging with Different Servers
In SQL Server land, the STRING_AGG
function is the trusty sidekick of GROUP_CONCAT
:
It's like a tiny SQL DJ, mixing all your product names into one groovy string.
How to merge with conditions?
Use CASE
statements inside your aggregation methods for selective merging. It's like choosing the fruit for your juice blend:
Now you're juic-*ahem*, merging like a pro!
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