CODEWITHSUNDEEP
snowflake-cloud-data-platform
Kar
Kar

Reputation: 1016

Parse JSON Multiple values into Rows

Requirement: Parse JSON values into rows

JSON:

    {
      "uid":"2EDA9DC1D4",
      "m_lg_loc": "ml_0_49_2965_12990434_1450,ml_0_49_2965_12991888_1450,ml_0_49_2965_12997254_682,ml_0_49_2965_12997940_453",
      "codec": "PMMMU,G726-32,PMMMA,A729a,tel",
      "trv_dev": "1,10,2",
        "geoipp": {
        "area_code": 703,
        "location": [
          -77.2223,
          38.94990000014
        ]
      }
    }

Expected Output:

Need m_lg_loc multiple values into rows

ml_0_49_2965_12990434_1450
ml_0_49_2965_12991888_1450
ml_0_49_2965_12997254_682
ml_0_49_2965_12997940_453

Similarly for

codec

    PMMMU
    G726-32
    PMMMA
    A729a 
    tel

location

-77.2223
38.94990000014

Tried:

select JSON_EXTRACT_PATH_TEXT($1, uid) as uid
      ,JSON_EXTRACT_PATH_TEXT($1, 'm_lg_loc') as m_lg_loc
 from /path/abc.json (FILE_FORMAT=>JSON_FORMAT)

Upvotes: 0

Views: 734

Answers (2)

Mike Walton
Mike Walton

Reputation: 7369

You can do this all in one step using a LATERAL FLATTEN:

WITH x AS (
SELECT parse_json('{
      "uid":"2EDA9DC1D4",
      "m_lg_loc": "ml_0_49_2965_12990434_1450,ml_0_49_2965_12991888_1450,ml_0_49_2965_12997254_682,ml_0_49_2965_12997940_453",
      "codec": "PMMMU,G726-32,PMMMA,A729a,tel",
      "trv_dev": "1,10,2",
        "geoipp": {
        "area_code": 703,
        "location": [
          -77.2223,
          38.94990000014
        ]
      }
    }') as js)
SELECT js:uid::varchar, js:m_lg_loc::varchar, y.value::varchar
FROM x,
LATERAL FLATTEN(INPUT => split(x.js:m_lg_loc::varchar,',')) y;

Upvotes: 1

Greg Pavlik
Greg Pavlik

Reputation: 11086

You can use SPLIT_TO_TABLE to do what you want. Here's an example:

create temporary table foo(v variant);

insert into foo select parse_json('    {
      "uid":"2EDA9DC1D4",
      "m_lg_loc": "ml_0_49_2965_12990434_1450,ml_0_49_2965_12991888_1450,ml_0_49_2965_12997254_682,ml_0_49_2965_12997940_453",
      "codec": "PMMMU,G726-32,PMMMA,A729a,tel",
      "trv_dev": "1,10,2",
        "geoipp": {
        "area_code": 703,
        "location": [
          -77.2223,
          38.94990000014
        ]
      }
    }');
    
--Parse the property as a string.
select v:m_lg_loc::string from foo;
--Split to table
select * from foo, table(SPLIT_TO_TABLE(v:m_lg_loc::string, ',')); 
--Get and alias the column(s) you want
select "VALUE" as MY_COLUMN  from foo, table(SPLIT_TO_TABLE(v:m_lg_loc::string, ','));

Upvotes: 1

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