![]() ![]() ![]() Lateral flatten(input => jsonrecord:orders) prod īMC is a member of the Snowflake Technology Alliance Partner program. ![]() Think of it as an easy was to show all the orders a customer made where the order data and the customer data are repeated to make it easy to see: select jsonrecord:customer, jsonrecord:orders from JSONRECORD , Lets look at how Snowflake allows us to create a view and also query the JSON data directly using. In other words, it explodes it out to array_size rows, filling out the other columns with the non-array columns in the select statement. So, it shows two rows in the results, with each record attached to the other attributes. INSERT INTO JSONRECORD (jsonrecord) select PARSE_JSON(' #Snowflake json query how to#JSON objects inside brackets ) to show how to query each type. We will add simple JSON, nested JSON, and JSON arrays (i.e. Use the right-hand menu to navigate.) Create a table with a JSON columnįirst create a database or use the inventory one we created in the last post and then create a table with one column of type variant: use database inventory Ĭreate table jsonRecord(jsonRecord variant) Add JSON data to Snowflake (This article is part of our Snowflake Guide. The Result Cache holds the results of every query executed in the past 24 hours. In this tutorial, we show how to query those JSON columns. Splunk Parse Json Our visitors often compare Snowflake and Splunk with. We’ve already showed you how to create a variant column in a Snowflake table, where variant means JSON. ![]()
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