Explained: PARSE_JSON() function in Snowflake?

Are you looking to find how to use the PARSE_JSON() function within the Snowflake cloud data warehouse or maybe you are looking for a solution, how to use the PARSE_JSON function in the Snowflake? If you are looking for any of these adidas yeezy shoes tapis de reception gonflable raptor babyphone mit alexa verbinden koaxialní kabel hornbach yeezy sneakers gepunktete strumpfhose ciorapi compresivi pana la coapsa handcitruspers detske lyžiarske nohavice 134 140 kilpi predam nike wiki amazon massaggiatore anticellulite amazon comprar fatos de treino adidas baratos gepunktete strumpfhose plavky chlapec 128nove brandon aiyuk jersey youthproblem solutions then you have landed on the correct page. I will also show you what and how to use PARSE_JSON() function. I will explain the PARSE_JSON() function by taking a practical example. So don’t waste time let’s start a step-by-step guide to understanding what is the PARSE_JSON() expression.blutuszos mennyezeti lámpa bogner overal lepetitartichaut.com blutuszos mennyezeti lámpa strømper str 42 maison-metal.com Mens VANS 2020 panske teplaky blutuszos mennyezeti lámpa Mens VANS 2020 lepetitartichaut.com bezecke topanky bežecká obuv bogner overal bežecká obuv

What is PARSE_JSON() Function?

PARSE_JSON() function helps to interpret a given string as a JSON document.

How can we use PARSE_JSON() Function ?

PARSE_JSON() function is used to interpret an input string as a JSON document, producing a Variant value.

• The function supports an input expression with a maximum size of 8MB compressed.
• If the input is NULL then the output is also NULL.
• In JSON, an object is an unordered set of key-value pairs.
• TO_JSON and PARSE_JSON are converse or reciprocal functions.
  • PARSE_JSON function takes a string as input and returns a JSON-compatible variant.
  • TO_JSON function takes JSON-compatible variant and returns string.

What is the Syntax of PARSE_JSON function in Snowflake?

-- Syntax : 

PARSE_JSON ( Expression )

PARSE_JSON() Argument Details :

Expression :

A String expression ( Varchar ) that holds valid JSON information.

Returns :

The data type of the returned value is Variant and contains a JSON document.

Examples of PARSE_JSON() function in Snowflake:

What is the difference between TO_JSON and PARSE_JSON for example?

select to_json(null), to_json('null'::variant),
       parse_json(null), parse_json('null');
+---------------+--------------------------+------------------+--------------------+
| TO_JSON(NULL) | TO_JSON('NULL'::VARIANT) | PARSE_JSON(NULL) | PARSE_JSON('NULL') |
|---------------+--------------------------+------------------+--------------------|
| NULL          | "null"                   | NULL             | null               |
+---------------+--------------------------+------------------+--------------------+

How to use PARSE_JSON function within TO_JSON with example?

select
    to_json(parse_json('{"b":3,"a":2}')),
    to_json(parse_json('{"b":3,"a":2}')) = '{"b":3,"a":2}',
    to_json(parse_json('{"b":3,"a":2}')) = '{"a":2,"b":3}'
    ;

+--------------------------------------+--------------------------------------------------------+--------------------------------------------------------+
| TO_JSON(PARSE_JSON('{"B":1,"A":2}')) | TO_JSON(PARSE_JSON('{"B":3,"A":2}')) = '{"B":3,"A":2}' | TO_JSON(PARSE_JSON('{"B":3,"A":2}')) = '{"A":2,"B":3}' |
|--------------------------------------+--------------------------------------------------------+--------------------------------------------------------|
| {"a":2,"b":1}                        | False                                                  | True                                                   |
+--------------------------------------+--------------------------------------------------------+--------------------------------------------------------+

Snowflake official documentation for parse_json function link

Final Thoughts

In this article, we have learned about PARSE_JSON() function and uses with the examples explained clearly. I have also covered different scenarios with a practical example that could be possible. I hope the information that was provided is helped in gaining the knowledge.

Please share your comments and suggestions in the comment section below and I will try to answer all your queries as time permits.

• For Azure Study material Join Telegram group : Telegram group link:
• Azure Jobs and other updates Follow me on LinkedIn: Azure Updates on LinkedIn
• Azure Tutorial Videos: Videos Link

• Date_Trunc() in Snowflake
• Date_Add() in Snowflake
• Parse_Json() in Snowflake
• Insert() in Snowflake
• Right() in Snowflake
• StartsWith() in Snowflake
• Replace () in Snowflake
• Position() function
• ListAgg() function
• Like() Function
• LikeAll() Function
• Like Any() Function
• Current_Date() Function
• Row_Number() Function
• Cast() Function
• Show() Function
• ISNULL() Function
• Lag() Function
• ILIKE() Function
• DateDiff() Function
• Substring() Function
• ILIKE ANY() Function
• Round() Function
• To_Date() Function
• Concat() Function
• Length() Function
• TRIM(), LTRIM(), RTRIM()
• SPLIT() Function
• Reverse() Function
• Repeat() Function
• Unicode() Function
• IFNULL() Function
• Pivot() Function
• IFF() Function

Revanth Kumar