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 as extras_1, parse_json(text1) :vehicle1.extras 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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If you have any queries, let us know by commenting below.
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Kalla Saikumar is a technology expert and is currently working as a content associate at MindMajix. Write articles on multiple platforms such as ServiceNow, Business Analysis, Performance Testing, Mulesoft, Oracle Exadata, Azure, and other courses. And you can join him on LinkedIn.
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