How to do a count on a union query
To conduct a count on a union query, you incapsulate the union statement within a subquery and apply COUNT(*):
The above query counts the total number of distinct profile_id entries from both tables. To include duplicates in your count, switch UNION with UNION ALL:
Choose UNION for distinct counts, and UNION ALL for total counts, and rejoice in the clarity of choice.
Breaking down counts
When you are dealing with different tables, you might need a detailed output. Here's how you can break down the counts by each table:
Pay attention to data types
When counting distinct profile_id entries, keep in mind that the data types should match across select statements in the union. Sticky situations with data types could bring in some unexpected surprises! ๐
d(d)istinct repetitions
Sometimes, you want to count unique entries after combining them. In that case, employ the power of nested union queries:
When complexity calls: Group by
For scenarios that demand a further breakdown of counts, call in the trusty GROUP BY with COUNT() sidekick:
Subqueries for efficient counting
For large data sets, incapsulating your UNION within a subquery allows the computations to execute faster, since it operates on a reduced set of data:
Tackling complex data structures
With complex data structures and multi-table queries, understanding the interaction JOIN operations have with UNION operations is crucial. The order of execution and the use of parentheses can significantly influence your result.
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