Nest In A Nest Json Model To Sql Table

here is an example json. Previously, I was able to solve for Attachments and tags not being nested and as induvidual columns. Any help is deeply appreaciated! { 'Volumes': [{

Solution 1:

you can do it this way:

In [1]: fn = r'D:\temp\.data\40454898.json'

In [2]: withopen(fn) as f:
   ...:     data = json.load(f)
   ...:

In [14]: t = pd.io.json.json_normalize(data['Volumes'],
    ...:                               ['Attachments','Tags'],
    ...:                               [['Attachments', 'VolumeId'],
    ...:                                ['Attachments', 'InstanceId']])
    ...:

In [15]: t
Out[15]:
         Key              Value Attachments.InstanceId   Attachments.VolumeId
0       Name  DBJanitor-Private    i-1234567890abcdef0  vol-049df61146c4d7901
1      Owner          DBJanitor    i-1234567890abcdef0  vol-049df61146c4d7901
2    Product           Database    i-1234567890abcdef0  vol-049df61146c4d7901
3  Portfolio         DB Janitor    i-1234567890abcdef0  vol-049df61146c4d7901
4    Service         DB Service    i-1234567890abcdef0  vol-049df61146c4d7901

NOTE: second argument ['Attachments','Tags'] is a path to to our nested record (data['Values']->Attachments->Tags) and third argument [['Attachments', 'VolumeId'], ['Attachments', 'InstanceId']] is a path to outer metadata (data['Values']->Attachments->VolumeId, data['Values']->Attachments->InstanceId)