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Flatten array with OPENJSON: OPENJSON on a value that may not be an array? [ [1] ], vs [1]


Find Ancestry From JSONHow to remove known elements from a JSON[] array in PostgreSQL?Can I find all JSON scalars in PostgreSQL 9.3?PostgreSql : flatten json array dataCan SQL Server 2016 validate JSON on insert?Working with JSON data MySQLImport poorly formatted CSV/JSON to SQL ServerList JSON array in MySQL as rowsDynamic conversion of long data to wide with multiple columnsIs the MySQL JSON data type bad for performance for data retrieval?Columnstore index for Key/Value Pair table on SQL Server






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








4















Frequently in Javascript you'll have something like



[ 7,2, [6,7], 2,10 ]


How would you query that structure with OPENJSON I would like this,



0, 7
1, 2
2, 6,
2, 7,
3, 2
4, 10


I'm having a hard time conditionally unwrapping that JSON array.



Sample Data



declare @ex nvarchar(max) = '[ 7,2, [6,7], 2,10 ]';


My attempt



Find my query here



SELECT *
FROM OPENJSON(@ex, '$') AS j1


This gets you to,



key value type
0 7 2
1 2 2
2 [6,7] 4
3 2 2
4 10 2


If I try to CROSS APPLY OPENJSON(j1."value", '$') AS j2;, I get an error about the 7, the first non-array being an invalid array,




Msg 13609 Level 16 State 4 Line 4



JSON text is not properly formatted. Unexpected character '7' is found at position 0.




How do I use CROSS APPLY OPENJSON to conditionally unwrap the rows that are arrays (type=4) while leaving alone non-arrays (in the above like type=2)? I don't want that [6,7] in there. I want two rows with key=2 that have values 6, and 7 respectively.










share|improve this question






























    4















    Frequently in Javascript you'll have something like



    [ 7,2, [6,7], 2,10 ]


    How would you query that structure with OPENJSON I would like this,



    0, 7
    1, 2
    2, 6,
    2, 7,
    3, 2
    4, 10


    I'm having a hard time conditionally unwrapping that JSON array.



    Sample Data



    declare @ex nvarchar(max) = '[ 7,2, [6,7], 2,10 ]';


    My attempt



    Find my query here



    SELECT *
    FROM OPENJSON(@ex, '$') AS j1


    This gets you to,



    key value type
    0 7 2
    1 2 2
    2 [6,7] 4
    3 2 2
    4 10 2


    If I try to CROSS APPLY OPENJSON(j1."value", '$') AS j2;, I get an error about the 7, the first non-array being an invalid array,




    Msg 13609 Level 16 State 4 Line 4



    JSON text is not properly formatted. Unexpected character '7' is found at position 0.




    How do I use CROSS APPLY OPENJSON to conditionally unwrap the rows that are arrays (type=4) while leaving alone non-arrays (in the above like type=2)? I don't want that [6,7] in there. I want two rows with key=2 that have values 6, and 7 respectively.










    share|improve this question


























      4












      4








      4








      Frequently in Javascript you'll have something like



      [ 7,2, [6,7], 2,10 ]


      How would you query that structure with OPENJSON I would like this,



      0, 7
      1, 2
      2, 6,
      2, 7,
      3, 2
      4, 10


      I'm having a hard time conditionally unwrapping that JSON array.



      Sample Data



      declare @ex nvarchar(max) = '[ 7,2, [6,7], 2,10 ]';


      My attempt



      Find my query here



      SELECT *
      FROM OPENJSON(@ex, '$') AS j1


      This gets you to,



      key value type
      0 7 2
      1 2 2
      2 [6,7] 4
      3 2 2
      4 10 2


      If I try to CROSS APPLY OPENJSON(j1."value", '$') AS j2;, I get an error about the 7, the first non-array being an invalid array,




      Msg 13609 Level 16 State 4 Line 4



      JSON text is not properly formatted. Unexpected character '7' is found at position 0.




      How do I use CROSS APPLY OPENJSON to conditionally unwrap the rows that are arrays (type=4) while leaving alone non-arrays (in the above like type=2)? I don't want that [6,7] in there. I want two rows with key=2 that have values 6, and 7 respectively.










      share|improve this question
















      Frequently in Javascript you'll have something like



      [ 7,2, [6,7], 2,10 ]


      How would you query that structure with OPENJSON I would like this,



      0, 7
      1, 2
      2, 6,
      2, 7,
      3, 2
      4, 10


      I'm having a hard time conditionally unwrapping that JSON array.



      Sample Data



      declare @ex nvarchar(max) = '[ 7,2, [6,7], 2,10 ]';


      My attempt



      Find my query here



      SELECT *
      FROM OPENJSON(@ex, '$') AS j1


      This gets you to,



      key value type
      0 7 2
      1 2 2
      2 [6,7] 4
      3 2 2
      4 10 2


      If I try to CROSS APPLY OPENJSON(j1."value", '$') AS j2;, I get an error about the 7, the first non-array being an invalid array,




      Msg 13609 Level 16 State 4 Line 4



      JSON text is not properly formatted. Unexpected character '7' is found at position 0.




      How do I use CROSS APPLY OPENJSON to conditionally unwrap the rows that are arrays (type=4) while leaving alone non-arrays (in the above like type=2)? I don't want that [6,7] in there. I want two rows with key=2 that have values 6, and 7 respectively.







      sql-server json






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 8 hours ago







      Evan Carroll

















      asked 9 hours ago









      Evan CarrollEvan Carroll

      34.7k11 gold badges89 silver badges256 bronze badges




      34.7k11 gold badges89 silver badges256 bronze badges




















          2 Answers
          2






          active

          oldest

          votes


















          6














          If you are strictly confident that your nested arrays will never go deeper than N levels, you can completely unwrap the array-of-arrays with N uses of APPLY. If you need to handle for arbitrary nesting levels, you can unwrap the array-of-arrays recursively using something like the following, which will produce output similar to the following




          |----|-------|---------|-----|-------|------|
          | id | level | path | key | value | type |
          |----|-------|---------|-----|-------|------|
          | 1 | 1 | /0 | 0 | 7 | 2 |
          | 1 | 1 | /1 | 1 | 2 | 2 |
          | 1 | 2 | /2/0 | 0 | 6 | 2 |
          | 1 | 2 | /2/1 | 1 | 7 | 2 |
          | 1 | 1 | /3 | 3 | 2 | 2 |
          | 1 | 1 | /4 | 4 | 10 | 2 |
          |----|-------|---------|-----|-------|------|


          DB Fiddle



          declare @ex table ( 
          i int identity primary key,
          r nvarchar(max)
          );
          insert @ex (r)
          values ('[ 7,2, [6,7], 2, 10 ]')
          ,('[ 7,2, [6,7], 2, 10 , [6,[7,8]]]')
          ;

          with j as (
          select
          x.i as id,
          convert(int,1) as [level],
          convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]) as [path],
          a.[key],
          a.[value],
          a.[type]
          from @ex x
          cross apply openjson(x.r) a
          union all
          select
          j. id,
          j.[level] + 1,
          j.[path] + convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]),
          a.[key],
          a.[value],
          a.[type]
          from j
          cross apply openjson(j.value) a
          where j.type in (4,5)
          and j.level < 50 --maxrecursion
          )
          select *
          from j
          where type not in (4,5)
          order by id, [path];


          Testing against the 2-level deep nested array from the above example produces the following:




          |----|-------|---------|-----|-------|------|
          | id | level | path | key | value | type |
          |----|-------|---------|-----|-------|------|
          | 2 | 1 | /0 | 0 | 7 | 2 |
          | 2 | 1 | /1 | 1 | 2 | 2 |
          | 2 | 2 | /2/0 | 0 | 6 | 2 |
          | 2 | 2 | /2/1 | 1 | 7 | 2 |
          | 2 | 1 | /3 | 3 | 2 | 2 |
          | 2 | 1 | /4 | 4 | 10 | 2 |
          | 2 | 2 | /5/0 | 0 | 6 | 2 |
          | 2 | 3 | /5/1/0 | 0 | 7 | 2 |
          | 2 | 3 | /5/1/1 | 1 | 8 | 2 |
          |----|-------|---------|-----|-------|------|


          See this question also for related material.






          share|improve this answer
































            4














            declare @ex nvarchar(max) = '[ 7,2, [6,7], 2, 10 ]';


            ;WITH cte
            AS (
            SELECT *
            FROM OPENJSON(@ex, '$') AS j1
            )
            SELECT c.[key], ISNULL(v.value, c.value)
            FROM cte c
            OUTER APPLY (
            SELECT *
            FROM OPENJSON(c.value, '$') AS j1
            WHERE c.[type] = 4

            )v
            ;





            share|improve this answer

























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              2 Answers
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              active

              oldest

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              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes









              6














              If you are strictly confident that your nested arrays will never go deeper than N levels, you can completely unwrap the array-of-arrays with N uses of APPLY. If you need to handle for arbitrary nesting levels, you can unwrap the array-of-arrays recursively using something like the following, which will produce output similar to the following




              |----|-------|---------|-----|-------|------|
              | id | level | path | key | value | type |
              |----|-------|---------|-----|-------|------|
              | 1 | 1 | /0 | 0 | 7 | 2 |
              | 1 | 1 | /1 | 1 | 2 | 2 |
              | 1 | 2 | /2/0 | 0 | 6 | 2 |
              | 1 | 2 | /2/1 | 1 | 7 | 2 |
              | 1 | 1 | /3 | 3 | 2 | 2 |
              | 1 | 1 | /4 | 4 | 10 | 2 |
              |----|-------|---------|-----|-------|------|


              DB Fiddle



              declare @ex table ( 
              i int identity primary key,
              r nvarchar(max)
              );
              insert @ex (r)
              values ('[ 7,2, [6,7], 2, 10 ]')
              ,('[ 7,2, [6,7], 2, 10 , [6,[7,8]]]')
              ;

              with j as (
              select
              x.i as id,
              convert(int,1) as [level],
              convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]) as [path],
              a.[key],
              a.[value],
              a.[type]
              from @ex x
              cross apply openjson(x.r) a
              union all
              select
              j. id,
              j.[level] + 1,
              j.[path] + convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]),
              a.[key],
              a.[value],
              a.[type]
              from j
              cross apply openjson(j.value) a
              where j.type in (4,5)
              and j.level < 50 --maxrecursion
              )
              select *
              from j
              where type not in (4,5)
              order by id, [path];


              Testing against the 2-level deep nested array from the above example produces the following:




              |----|-------|---------|-----|-------|------|
              | id | level | path | key | value | type |
              |----|-------|---------|-----|-------|------|
              | 2 | 1 | /0 | 0 | 7 | 2 |
              | 2 | 1 | /1 | 1 | 2 | 2 |
              | 2 | 2 | /2/0 | 0 | 6 | 2 |
              | 2 | 2 | /2/1 | 1 | 7 | 2 |
              | 2 | 1 | /3 | 3 | 2 | 2 |
              | 2 | 1 | /4 | 4 | 10 | 2 |
              | 2 | 2 | /5/0 | 0 | 6 | 2 |
              | 2 | 3 | /5/1/0 | 0 | 7 | 2 |
              | 2 | 3 | /5/1/1 | 1 | 8 | 2 |
              |----|-------|---------|-----|-------|------|


              See this question also for related material.






              share|improve this answer





























                6














                If you are strictly confident that your nested arrays will never go deeper than N levels, you can completely unwrap the array-of-arrays with N uses of APPLY. If you need to handle for arbitrary nesting levels, you can unwrap the array-of-arrays recursively using something like the following, which will produce output similar to the following




                |----|-------|---------|-----|-------|------|
                | id | level | path | key | value | type |
                |----|-------|---------|-----|-------|------|
                | 1 | 1 | /0 | 0 | 7 | 2 |
                | 1 | 1 | /1 | 1 | 2 | 2 |
                | 1 | 2 | /2/0 | 0 | 6 | 2 |
                | 1 | 2 | /2/1 | 1 | 7 | 2 |
                | 1 | 1 | /3 | 3 | 2 | 2 |
                | 1 | 1 | /4 | 4 | 10 | 2 |
                |----|-------|---------|-----|-------|------|


                DB Fiddle



                declare @ex table ( 
                i int identity primary key,
                r nvarchar(max)
                );
                insert @ex (r)
                values ('[ 7,2, [6,7], 2, 10 ]')
                ,('[ 7,2, [6,7], 2, 10 , [6,[7,8]]]')
                ;

                with j as (
                select
                x.i as id,
                convert(int,1) as [level],
                convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]) as [path],
                a.[key],
                a.[value],
                a.[type]
                from @ex x
                cross apply openjson(x.r) a
                union all
                select
                j. id,
                j.[level] + 1,
                j.[path] + convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]),
                a.[key],
                a.[value],
                a.[type]
                from j
                cross apply openjson(j.value) a
                where j.type in (4,5)
                and j.level < 50 --maxrecursion
                )
                select *
                from j
                where type not in (4,5)
                order by id, [path];


                Testing against the 2-level deep nested array from the above example produces the following:




                |----|-------|---------|-----|-------|------|
                | id | level | path | key | value | type |
                |----|-------|---------|-----|-------|------|
                | 2 | 1 | /0 | 0 | 7 | 2 |
                | 2 | 1 | /1 | 1 | 2 | 2 |
                | 2 | 2 | /2/0 | 0 | 6 | 2 |
                | 2 | 2 | /2/1 | 1 | 7 | 2 |
                | 2 | 1 | /3 | 3 | 2 | 2 |
                | 2 | 1 | /4 | 4 | 10 | 2 |
                | 2 | 2 | /5/0 | 0 | 6 | 2 |
                | 2 | 3 | /5/1/0 | 0 | 7 | 2 |
                | 2 | 3 | /5/1/1 | 1 | 8 | 2 |
                |----|-------|---------|-----|-------|------|


                See this question also for related material.






                share|improve this answer



























                  6












                  6








                  6







                  If you are strictly confident that your nested arrays will never go deeper than N levels, you can completely unwrap the array-of-arrays with N uses of APPLY. If you need to handle for arbitrary nesting levels, you can unwrap the array-of-arrays recursively using something like the following, which will produce output similar to the following




                  |----|-------|---------|-----|-------|------|
                  | id | level | path | key | value | type |
                  |----|-------|---------|-----|-------|------|
                  | 1 | 1 | /0 | 0 | 7 | 2 |
                  | 1 | 1 | /1 | 1 | 2 | 2 |
                  | 1 | 2 | /2/0 | 0 | 6 | 2 |
                  | 1 | 2 | /2/1 | 1 | 7 | 2 |
                  | 1 | 1 | /3 | 3 | 2 | 2 |
                  | 1 | 1 | /4 | 4 | 10 | 2 |
                  |----|-------|---------|-----|-------|------|


                  DB Fiddle



                  declare @ex table ( 
                  i int identity primary key,
                  r nvarchar(max)
                  );
                  insert @ex (r)
                  values ('[ 7,2, [6,7], 2, 10 ]')
                  ,('[ 7,2, [6,7], 2, 10 , [6,[7,8]]]')
                  ;

                  with j as (
                  select
                  x.i as id,
                  convert(int,1) as [level],
                  convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]) as [path],
                  a.[key],
                  a.[value],
                  a.[type]
                  from @ex x
                  cross apply openjson(x.r) a
                  union all
                  select
                  j. id,
                  j.[level] + 1,
                  j.[path] + convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]),
                  a.[key],
                  a.[value],
                  a.[type]
                  from j
                  cross apply openjson(j.value) a
                  where j.type in (4,5)
                  and j.level < 50 --maxrecursion
                  )
                  select *
                  from j
                  where type not in (4,5)
                  order by id, [path];


                  Testing against the 2-level deep nested array from the above example produces the following:




                  |----|-------|---------|-----|-------|------|
                  | id | level | path | key | value | type |
                  |----|-------|---------|-----|-------|------|
                  | 2 | 1 | /0 | 0 | 7 | 2 |
                  | 2 | 1 | /1 | 1 | 2 | 2 |
                  | 2 | 2 | /2/0 | 0 | 6 | 2 |
                  | 2 | 2 | /2/1 | 1 | 7 | 2 |
                  | 2 | 1 | /3 | 3 | 2 | 2 |
                  | 2 | 1 | /4 | 4 | 10 | 2 |
                  | 2 | 2 | /5/0 | 0 | 6 | 2 |
                  | 2 | 3 | /5/1/0 | 0 | 7 | 2 |
                  | 2 | 3 | /5/1/1 | 1 | 8 | 2 |
                  |----|-------|---------|-----|-------|------|


                  See this question also for related material.






                  share|improve this answer















                  If you are strictly confident that your nested arrays will never go deeper than N levels, you can completely unwrap the array-of-arrays with N uses of APPLY. If you need to handle for arbitrary nesting levels, you can unwrap the array-of-arrays recursively using something like the following, which will produce output similar to the following




                  |----|-------|---------|-----|-------|------|
                  | id | level | path | key | value | type |
                  |----|-------|---------|-----|-------|------|
                  | 1 | 1 | /0 | 0 | 7 | 2 |
                  | 1 | 1 | /1 | 1 | 2 | 2 |
                  | 1 | 2 | /2/0 | 0 | 6 | 2 |
                  | 1 | 2 | /2/1 | 1 | 7 | 2 |
                  | 1 | 1 | /3 | 3 | 2 | 2 |
                  | 1 | 1 | /4 | 4 | 10 | 2 |
                  |----|-------|---------|-----|-------|------|


                  DB Fiddle



                  declare @ex table ( 
                  i int identity primary key,
                  r nvarchar(max)
                  );
                  insert @ex (r)
                  values ('[ 7,2, [6,7], 2, 10 ]')
                  ,('[ 7,2, [6,7], 2, 10 , [6,[7,8]]]')
                  ;

                  with j as (
                  select
                  x.i as id,
                  convert(int,1) as [level],
                  convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]) as [path],
                  a.[key],
                  a.[value],
                  a.[type]
                  from @ex x
                  cross apply openjson(x.r) a
                  union all
                  select
                  j. id,
                  j.[level] + 1,
                  j.[path] + convert(nvarchar(max),N'/')+convert(nvarchar(max),a.[key]),
                  a.[key],
                  a.[value],
                  a.[type]
                  from j
                  cross apply openjson(j.value) a
                  where j.type in (4,5)
                  and j.level < 50 --maxrecursion
                  )
                  select *
                  from j
                  where type not in (4,5)
                  order by id, [path];


                  Testing against the 2-level deep nested array from the above example produces the following:




                  |----|-------|---------|-----|-------|------|
                  | id | level | path | key | value | type |
                  |----|-------|---------|-----|-------|------|
                  | 2 | 1 | /0 | 0 | 7 | 2 |
                  | 2 | 1 | /1 | 1 | 2 | 2 |
                  | 2 | 2 | /2/0 | 0 | 6 | 2 |
                  | 2 | 2 | /2/1 | 1 | 7 | 2 |
                  | 2 | 1 | /3 | 3 | 2 | 2 |
                  | 2 | 1 | /4 | 4 | 10 | 2 |
                  | 2 | 2 | /5/0 | 0 | 6 | 2 |
                  | 2 | 3 | /5/1/0 | 0 | 7 | 2 |
                  | 2 | 3 | /5/1/1 | 1 | 8 | 2 |
                  |----|-------|---------|-----|-------|------|


                  See this question also for related material.







                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited 7 hours ago

























                  answered 8 hours ago









                  Peter VandivierPeter Vandivier

                  1,7461 gold badge9 silver badges23 bronze badges




                  1,7461 gold badge9 silver badges23 bronze badges























                      4














                      declare @ex nvarchar(max) = '[ 7,2, [6,7], 2, 10 ]';


                      ;WITH cte
                      AS (
                      SELECT *
                      FROM OPENJSON(@ex, '$') AS j1
                      )
                      SELECT c.[key], ISNULL(v.value, c.value)
                      FROM cte c
                      OUTER APPLY (
                      SELECT *
                      FROM OPENJSON(c.value, '$') AS j1
                      WHERE c.[type] = 4

                      )v
                      ;





                      share|improve this answer



























                        4














                        declare @ex nvarchar(max) = '[ 7,2, [6,7], 2, 10 ]';


                        ;WITH cte
                        AS (
                        SELECT *
                        FROM OPENJSON(@ex, '$') AS j1
                        )
                        SELECT c.[key], ISNULL(v.value, c.value)
                        FROM cte c
                        OUTER APPLY (
                        SELECT *
                        FROM OPENJSON(c.value, '$') AS j1
                        WHERE c.[type] = 4

                        )v
                        ;





                        share|improve this answer

























                          4












                          4








                          4







                          declare @ex nvarchar(max) = '[ 7,2, [6,7], 2, 10 ]';


                          ;WITH cte
                          AS (
                          SELECT *
                          FROM OPENJSON(@ex, '$') AS j1
                          )
                          SELECT c.[key], ISNULL(v.value, c.value)
                          FROM cte c
                          OUTER APPLY (
                          SELECT *
                          FROM OPENJSON(c.value, '$') AS j1
                          WHERE c.[type] = 4

                          )v
                          ;





                          share|improve this answer













                          declare @ex nvarchar(max) = '[ 7,2, [6,7], 2, 10 ]';


                          ;WITH cte
                          AS (
                          SELECT *
                          FROM OPENJSON(@ex, '$') AS j1
                          )
                          SELECT c.[key], ISNULL(v.value, c.value)
                          FROM cte c
                          OUTER APPLY (
                          SELECT *
                          FROM OPENJSON(c.value, '$') AS j1
                          WHERE c.[type] = 4

                          )v
                          ;






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                          answered 8 hours ago









                          Denis RubashkinDenis Rubashkin

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