Last updated
Last updated
Updates values in one or more table columns when a condition is satisfied. ().
This syntax is fully supported in Snowflake.
Although Snowflake's grammar does not specify that a table alias can be used, it's valid code in Snowflake.
This clause specifies one or more Common Table Expressions (CTE). The output column names are optional for non-recursive CTEs, but mandatory for recursive ones.
However, when this flag is turned off, no error is returned, and one of the matched rows is used to update the target row. The selected joined row is nondeterministic and arbitrary in both languages; the behavior may not be consistent across executions, which could lead to data inconsistencies.
Replicating the functionality of the WITH
clause requires creating temporary tables mirroring each Common Table Expression (CTE). However, this approach fails if a temporary table with the same name already exists within the current session, causing an error.
There are no known issues.
Since this clause cannot be used in an UPDATE statement, it is transformed into temporary tables with their corresponding queries. After the UPDATE statement is executed, these temporary tables are dropped to clean up, release resources, and avoid name collisions when creating tables within the same session. Additionally, if a regular table with the same name exists, it will take precedence again, since the temporary table over any other table with the same name in the same session.
It is responsible for modifying values in the columns. Similar to Snowflake, update queries with multiple matches per row will throw an error when the configuration parameter is set to true. This flag works the same way in Snowflake, and it even uses the same name, .
Update queries with multiple matches per row may cause data inconsistencies. Although both platforms have the flag , these values will always be nondeterministic. Snowflake offers recommendations for handling these scenarios. Click for more details.
1
Alice
505000
HR
2
Bob
600000
Engineering
3
Charlie
700000
Engineering
4
David
405000
Marketing
5
Eve
455000
HR
6
Frank
750000
Engineering
7
Grace
650000
Engineering
8
Helen
395000
Marketing
9
Ivy
485000
HR
10
Jack
425000
Engineering
11
Ken
700000
Marketing
12
Liam
600000
Engineering
13
Mona
475000
HR
1
Alice
505000
HR
2
Bob
600000
Engineering
3
Charlie
700000
Engineering
4
David
405000
Marketing
5
Eve
455000
HR
6
Frank
750000
Engineering
7
Grace
650000
Engineering
8
Helen
395000
Marketing
9
Ivy
485000
HR
10
Jack
425000
Engineering
11
Ken
700000
Marketing
12
Liam
600000
Engineering
13
Mona
475000
HR
1
Alice
500000
HR
2
Bob
600000
Engineering
3
Charlie
700000
Engineering
4
David
546923
Marketing
5
Eve
546923
HR
6
Frank
750000
Engineering
7
Grace
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Engineering
8
Helen
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Marketing
9
Ivy
546923
HR
10
Jack
546923
Engineering
11
Ken
700000
Marketing
12
Liam
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Engineering
13
Mona
546923
HR
1
Alice
500000
HR
2
Bob
600000
Engineering
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Charlie
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Engineering
4
David
546923
Marketing
5
Eve
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HR
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Frank
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Engineering
7
Grace
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Engineering
8
Helen
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Marketing
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Ivy
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HR
10
Jack
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Engineering
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Ken
700000
Marketing
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Liam
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Engineering
13
Mona
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HR
1
Alice
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Bob
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Charlie
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David
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Marketing
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Eve
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HR
6
Frank
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Engineering
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Grace
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Engineering
8
Helen
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Marketing
9
Ivy
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HR
10
Jack
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Engineering
11
Ken
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Marketing
12
Liam
670000
Engineering
13
Mona
495668
HR
1
Alice
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HR
2
Bob
670000
Engineering
3
Charlie
773333
Engineering
4
David
433333
Marketing
5
Eve
475000
HR
6
Frank
825000
Engineering
7
Grace
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Engineering
8
Helen
423000
Marketing
9
Ivy
506000
HR
10
Jack
484000
Engineering
11
Ken
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Marketing
12
Liam
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Engineering
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Mona
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HR
1
Alice
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Bob
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Engineering
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Charlie
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Engineering
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David
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Marketing
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Eve
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Frank
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Engineering
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Grace
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Engineering
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Helen
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Ivy
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Sales
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Jack
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Engineering
11
Ken
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Marketing
12
Liam
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Mona
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Alice
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Bob
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Engineering
3
Charlie
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Engineering
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David
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Marketing
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Eve
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Sales
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Frank
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Engineering
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Grace
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Helen
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Marketing
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Ivy
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Sales
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Jack
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Engineering
11
Ken
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Marketing
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Liam
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Mona
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Sales
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16
0
14