Example:
Table 1:
Column1 Column2
----------- -------------
A 1
B 2
D 3
E 4
Table 2:
Column3 Column4
----------- -------------
A 7
E 9
Z 5
Expected output:
Column1 Column2 Column3 Column4
----------- ------------- ------------- -------------
A 1 A 7
B 2 E 9
D 3 Z 5
E 4 NULL NULL
I want the output as shown in the picture.
If there are two tables with the columns Column1, Coumn2 and Column3, Column4, then the expected output should be Column1, Column2, Column3, Column4, without any joins. It should have Table2's columns to the right hand side of the Table1's columns. NULL values will consume the empty rows if the number of rows in each table don't match.
Multiple tables can be merged by columns in SQL using joins. Joins merge two tables based on the specified columns (generally, the primary key of one table and a foreign key of the other). Below is the generic syntax of SQL joins. USING (id);
The answer to this question is yes, you can join two unrelated tables in SQL, and in fact, there are multiple ways to do this, particularly in the Microsoft SQL Server database. The most common way to join two unrelated tables is by using CROSS join, which produces a cartesian product of two tables.
The SQL LEFT JOIN returns all rows from the left table, even if there are no matches in the right table. This means that if the ON clause matches 0 (zero) records in the right table; the join will still return a row in the result, but with NULL in each column from the right table.
You can use ROW_NUMBER
window function to create a calculated field that can be used to join the two tables together:
SELECT t1.Column1, t1.Column2, t2.Column3, t2.Column4
FROM (
SELECT Column1, Column2,
ROW_NUMBER() OVER (ORDER BY Column1) AS rn
FROM Table1) AS t1
FULL OUTER JOIN (
SELECT Column3, Column4,
ROW_NUMBER() OVER (ORDER BY Column3) AS rn
FROM Table2) AS t2
ON t1.rn = t2.rn
A FULL OUTER JOIN
is necessary in case either Table1
or Table2
has more rows.
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