![]() Where exists (select col1 from test as t2 where t1.col1 = t2. Snowflake supports only scalar correlated subquery in WHERE, EXISTS, ANY / ALL, and IN clause. This kind of subquery contains one or more correlations between its columns and the columns produced by the outer query. +-+-+ Snowflake Correlated subqueryĬorrelated subquery is a query within a query that refer the columns from the parent or outer query. select * from TEST where col1 in (select col1 from test) You can also use a table subquery as an argument of an EXISTS, IN, ANY, or ALL clauses.įor example, consider following SQL statement with table subquery. You can use these type of subqueries in a FROM clause. The scalar subquery is similar to row subquery.Ī table subquery returns multiple rows and multiple columns. select *, (select max(col1) as max_c from test) as max_c from TEST ![]() ![]() In this tutorial, you will learn how to partition JSON data batches in your S3 bucket, execute basic queries on loaded JSON data, and optionally flatten (removing the nesting from) repeated values. one row with one column.įor example, consider following SQL statement that contains a scalar subquery. An ingest service/utility then writes the data to a S3 bucket, from which you can load the data into Snowflake. +-+-+ Snowflake Scalar SubqueryĪ scalar subquery is a regular SELECT query in parentheses that returns exactly one value. > select * from TEST where col1 = (select '1' as dummy_value from dual) Snowflake also allows you to use row subquery in a clause such as WHERE, or a FROM.įor example, following SQL query uses a single row subquery in a SELECT statement: > select *,(select '1') as dummy_value from TEST įollowing SQL statement uses row subquery in the WHERE clause. The returned value will be associated with all the columns that are mentioned in the SELECT statement. A single row subquery returns at most one row to the outer SQL statement.
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