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Snowflake Json. It has no other use than representing a string holding your JSON. But Snowflake supports JSON and other semi-structured data natively alongside relational data. The PARSE_JSON function takes a string as input and returns a JSON-compatible variant. Below are some examples not all of which are from the car_sales example above of valid JSON element names that are not valid Snowflake.
Analytics for for SEMI-Structured DATA with Snowflake. The following is conceptually true if X is a string containing valid JSON. In JSON an object also called a dictionary or a hash is an unordered set of key-value pairs. While Snowflake supports JSON data sources there are some nuances of how the load process works that can take a while to understand and work around. Most databases and data stores only support one format. 7272020 This document describes the extended syntax for JSON documents accepted by Snowflake.
Snowflake allows you to load JSON data directly into relational tables.
It has no other use than representing a string holding your JSON. 12122020 We frequently come across situations where we get a data source in JSON that we need to load into Snowflake. The result is that we ended up spending more time than we initially planned for the tasks. CREATE FILE FORMAT JSON_FILE_FORMAT TYPE JSON COMPRESSION AUTO ENABLE_OCTAL FALSE ALLOW_DUPLICATE FALSE STRIP_OUTER_ARRAY TRUE STRIP_NULL_VALUES FALSE IGNORE_UTF8_ERRORS FALSE. Of the supported file formats JSON is one of the most widely used due to its relatively lightweight data-interchange format and the ease with which it can be written and read by both humans and machines. The PARSE_JSON function takes a string as input and returns a JSON-compatible variant.