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How to extract nested JSON Object in Hive


I have a column named "impact" which has data in nested Json format

input: [{"internalid":"079","impactid":[{"position":"1","typeid":"NOEUD","value":"G1"},{"position":"2","typeid":"ID","value":"001"},{"position":"3","typeid":"CODE_CI","value":"14"}],"typeid":"BTS","cdrs":"X110","belong":"OF","impactclass":"R","count":"0","numberaccessimpacted":"0","impactcalculationrequest":null},{"internalid":"6381075","impactid":[{"position":"1","typeid":"NOEUD","value":"G3"},{"position":"2","typeid":"ID","value":"003"},{"position":"3","typeid":"CI","value":"58"}],"typeid":"BTS","cdrs":"X110","belong":"OF","impactclass":"R","count":"0","numberaccessimpacted":"0","impactcalculationrequest":null},{"internalid":"6381071","impactid":[{"position":"1","typeid":"NOEUD","value":"G2"},{"position":"2","typeid":"IDT","value":"002"},{"position":"3","typeid":"CI","value":"57"}],"typeid":"BTS","cdrs":"X110","belong":"OF","impactclass":"R","count":"0","numberaccessimpacted":"0","impactcalculationrequest":null}]

I use the code below:

SELECT 
       get_json_object(single_json_table.identifiant, '$.position') AS impact_position,
       get_json_object(single_json_table.identifiant, '$.value')  AS impact_value
   FROM 
   (SELECT exp2.identifiant
  FROM  socle s
  lateral view explode(split(regexp_replace(substr(impact, 2, length(impact)-2),
          '},\\{"', '},,,,{"'), ',,,,')) exp2 as identifiant   
           )single_json_table 

Here is the results, it skips the first position and value, does anyone know how can i fix it please ?

impact_position  |  impact_value
(null)                (null)
2                     001
3                     14
(null)                (null)
2                     003
3                     58
(null)                (null)
2                     002
3                     57 

Solution

  • Your input is a JSON with nested arrays. Upper level array is the whole input, contains struct<internalid : string, impactid : array < struct <> > >, impactid is a nested array, containing struct elements like this: {"position":"1","typeid":"NOEUD","value":"G1"}

    You need to explode both arrays. First explode upper array: change delimiters, split, explode, then do the same with nested array.

    Demo:

    with socle as (
    select '[{"internalid":"079","impactid":[{"position":"1","typeid":"NOEUD","value":"G1"},{"position":"2","typeid":"ID","value":"001"},{"position":"3","typeid":"CODE_CI","value":"14"}],"typeid":"BTS","cdrs":"X110","belong":"OF","impactclass":"R","count":"0","numberaccessimpacted":"0","impactcalculationrequest":null},{"internalid":"6381075","impactid":[{"position":"1","typeid":"NOEUD","value":"G3"},{"position":"2","typeid":"ID","value":"003"},{"position":"3","typeid":"CI","value":"58"}],"typeid":"BTS","cdrs":"X110","belong":"OF","impactclass":"R","count":"0","numberaccessimpacted":"0","impactcalculationrequest":null},{"internalid":"6381071","impactid":[{"position":"1","typeid":"NOEUD","value":"G2"},{"position":"2","typeid":"IDT","value":"002"},{"position":"3","typeid":"CI","value":"57"}],"typeid":"BTS","cdrs":"X110","belong":"OF","impactclass":"R","count":"0","numberaccessimpacted":"0","impactcalculationrequest":null}]'
    as impact
    
    )
    
    select internalid,
           get_json_object(e.impact, '$.position')  as position,
           get_json_object(e.impact, '$.value')  as value
    from
    (
    select get_json_object(impacts, '$.internalid') internalid,
          --extract inner impact array, remove [], convert delimiters 
           regexp_replace(regexp_replace(get_json_object(impacts,'$.impactid'),'^\\[|\\]$',''),'\\},\\{','},,,,{') impact
    from 
    (
    SELECT --First we need to explode upper array. Since it is a string, 
           --we need to prepare delimiters to be able to explode it
           --remove first [ and last ], replace delimiters between inner structure with 4 commas
           regexp_replace(regexp_replace(s.impact,'^\\[|\\]$',''),'\\},\\{"internalid"','},,,,{"internalid"') upper_array_str 
      FROM  socle s
    )s lateral view explode (split(upper_array_str, ',,,,')) e as impacts --get upper array element
    )s lateral view explode (split(impact, ',,,,') ) e as impact
    

    Result:

    internalid  position    value
    079         1          G1
    079         2          001
    079         3          14
    6381075     1          G3
    6381075     2          003
    6381075     3          58
    6381071     1          G2
    6381071     2          002
    6381071     3          57