'How to parse the following JSON to retrieve the name of the item in snowflake sql?
[
{
"itemId": "HWKDVCXKU5",
"name": "A",
"quantity": 1.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "FPK81M587X",
"name": "b",
"quantity": 1.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "L04WBQON3C",
"name": "C",
"quantity": 2.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "ULZFPY2UJN",
"name": "D",
"quantity": 2.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
I want all the names and quantity in 2 column, I don't know how to write query from the same.
Solution 1:[1]
So using a sub-select to "make the data" and then using PARSE_JSON and FLATTEN we get:
SELECT
f.value:name::text as name,
f.value:quantity::float as quanitiy
FROM (
SELECT PARSE_JSON('[
{
"itemId": "HWKDVCXKU5",
"name": "A",
"quantity": 1.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "FPK81M587X",
"name": "b",
"quantity": 1.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "L04WBQON3C",
"name": "C",
"quantity": 2.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "ULZFPY2UJN",
"name": "D",
"quantity": 2.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
}]') as json
) j
,TABLE(FLATTEN(input=>json)) f;
which gives:
NAME | QUANITIY |
---|---|
A | 1 |
b | 1 |
C | 2 |
D | 2 |
another way to see the exact same code but with the JSON moved to a CTE (so it looks like a normal table)
WITH data_cte AS (
SELECT PARSE_JSON('[
{
"itemId": "HWKDVCXKU5",
"name": "A",
"quantity": 1.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "FPK81M587X",
"name": "b",
"quantity": 1.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "L04WBQON3C",
"name": "C",
"quantity": 2.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
},
{
"itemId": "ULZFPY2UJN",
"name": "D",
"quantity": 2.000000000000000e+00,
"storeId": 1.150192000000000e+06,
"type": "structure"
}]') as json
)
SELECT
f.value:name::text as name,
f.value:quantity::float as quanitiy
FROM data_cte j
,TABLE(FLATTEN(input=>json)) f;
Solution 2:[2]
Here is my approach for your problem:
create or replace stage my_json_stage;
PUT file:///Users/athakur/Downloads/Chrome Downloads/test.json @my_json_stage auto_compress=false;
create or replace table test_json
( my_value variant);
copy into test_json from @my_json_stage/test.json
file_format = (type = JSON strip_outer_array = true)
ON_Error = Continue;
select * from test_json;
select $1:name::string, $1:quantity::string from test_json;
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | Simeon Pilgrim |
Solution 2 | Dharman |