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Data Engineering
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How to use the variable haiving set of values in a spark.sql?

Daniel3
New Contributor II

Hi, I have a set of values to be searched from a table, for which i was trying to assign them to a variable first and then trying to use the variable in spark.sql, but i'm unable to fetch the records. Please see the image attached and correct my code please.

1 ACCEPTED SOLUTION

Accepted Solutions

brockb
Databricks Employee
Databricks Employee

Hi,

One way to address the example provided in your screenshot is by using a combination of a python f-string and a Common Table Expression like shown below. This is assuming that in reality the two tables are different unlike in the provided screenshot. If the query is only against a single table then there is no need for the CTE and the predicate variables can be applied directly against the table.

min_value = 10
max_value = 20
sql_statement = f"""with users_with_filter as (
select user_id from users where user_id between {min_value} and {max_value}
)
select *
from users as u1
inner join users_with_filter as u2
on u1.user_id = u2.user_id
"""
spark.sql(sql_statement).show()

 

View solution in original post

2 REPLIES 2

Daniel3
New Contributor II

Hello Kaniz, Thanks!

Can I get any reference URL for this content, so that i can see the examples on how to use variables in spark SQL.

brockb
Databricks Employee
Databricks Employee

Hi,

One way to address the example provided in your screenshot is by using a combination of a python f-string and a Common Table Expression like shown below. This is assuming that in reality the two tables are different unlike in the provided screenshot. If the query is only against a single table then there is no need for the CTE and the predicate variables can be applied directly against the table.

min_value = 10
max_value = 20
sql_statement = f"""with users_with_filter as (
select user_id from users where user_id between {min_value} and {max_value}
)
select *
from users as u1
inner join users_with_filter as u2
on u1.user_id = u2.user_id
"""
spark.sql(sql_statement).show()

 

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