Consolidating Data from Multiple SQL Queries
Database management often requires integrating data from various sources or tables. A common method is using SQL JOIN
operations to combine results from multiple SELECT
statements.
This example demonstrates how to combine data from two queries: one counting total tasks and another counting overdue tasks for each individual. The aim is to create a table showing each individual's task count and overdue task count.
The first query calculates each individual's total task count:
SELECT ks, COUNT(*) AS "Total Tasks" FROM Table GROUP BY ks
This produces a table with ks
(individual identifier) and Total Tasks
.
The second query counts each individual's overdue tasks:
SELECT ks, COUNT(*) AS "Overdue Tasks" FROM Table WHERE Age > Palt GROUP BY ks
This generates a table with ks
and Overdue Tasks
.
To merge these results, a LEFT JOIN
is used. This ensures all individuals from the first query are included, even if they have no overdue tasks.
The combined query is:
SELECT t1.ks, t1."Total Tasks", COALESCE(t2."Overdue Tasks", 0) AS "Overdue Tasks" FROM (SELECT ks, COUNT(*) AS "Total Tasks" FROM Table GROUP BY ks) t1 LEFT JOIN (SELECT ks, COUNT(*) AS "Overdue Tasks" FROM Table WHERE Age > Palt GROUP BY ks) t2 ON (t1.ks = t2.ks);
COALESCE
handles cases where individuals lack overdue tasks, replacing NULL
with 0.
The final table displays ks
, Total Tasks
, and Overdue Tasks
for each individual.
The above is the detailed content of How to Combine Task and Late Task Counts for Individuals Using SQL Joins?. For more information, please follow other related articles on the PHP Chinese website!

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