Snowflake queries the JSON objects to store and query the unstructured data. When we query the JSON objects, we will get the JSON keys of the data set. This blog allows you to master querying the JSON objects.
Snowflake enables the querying of JSON columns. This provides the benefit of querying and storing unstructured data. Through the following code, we can get the “salesperson1.name” from the employees1 table.
select parse_json(text1) : salesperson.name1 as sales_person_name1 from customers1
By using the following code, we can get the customers related to the specific person:
select *
from customers1
where parse_json(text1): salesperson.name1= ‘Bob Miller.’
Getting the first key and the value of the JSON data set:
select top 10 parse_json(text1) :customer1 as customer_key1 from customers1
select top 10 parse_json(text1) :customer .name1 as customer_name_key1 from customers1
Getting the JSON keys as the columns inhabited with the key values:
select
parse_json(text1) :customer .name as customer_name1,
parse_json(text1) :customer .address as customer_address1,
parse_json(text1) :customer .phone as customer_phone1,
parse_json(text1) :dealership as dealership1,
parse_json(text1) :salesperson.id1 as sales_person_id1,
parse_json(text1) :salesperson.name1 as sales_person_name1,
parse_json(text1) :vehicle1.extras[1] as extras_1,
parse_json(text1) :vehicle1.extras[2] as extras_2,
from customers1
Snowflake helps us query the JSON objects and store the unstructured data. Along with the JSON keys, we will get the data of a particular person. I hope this provides you with enough information about querying the JSON objects.
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Kalla Saikumar is a technology expert and is currently working as a Marketing Analyst at MindMajix. Write articles on multiple platforms such as Tableau, PowerBi, Business Analysis, SQL Server, MySQL, Oracle, and other courses. And you can join him on LinkedIn and Twitter.