Mysql
 sql >> डेटाबेस >  >> RDS >> Mysql

Json को SQL तालिका में कनवर्ट करना

मैं इसे इस तरह से करूंगा:

fn = r'D:\temp\.data\40450591.json'

with open(fn) as f:
    data = json.load(f)

# some of your records seem NOT to have `Tags` key, hence `KeyError: 'Tags'`
# let's fix it
for r in data['Volumes']:
    if 'Tags' not in r:
        r['Tags'] = []

v = pd.DataFrame(data['Volumes']).drop(['Attachments', 'Tags'],1)
a = pd.io.json.json_normalize(data['Volumes'], 'Attachments', ['VolumeId'], meta_prefix='parent_')
t = pd.io.json.json_normalize(data['Volumes'], 'Tags', ['VolumeId'], meta_prefix='parent_')

v.to_sql('volume', engine)
a.to_sql('attachment', engine)
t.to_sql('tag', engine)

आउटपुट:

In [179]: v
Out[179]:
                      AvailabilityZone                CreateTime    Iops  Size              SnapshotId      State VolumeType
VolumeId
vol-049df61146c4d7901       us-east-1a  2013-12-18T22:35:00.084Z     NaN     8  snap-1234567890abcdef0     in-use   standard
vol-1234567890abcdef0       us-east-1a  2014-02-27T00:02:41.791Z  1000.0   100                    None  available        io1

In [180]: a
Out[180]:
                 AttachTime DeleteOnTermination     Device           InstanceId     State               VolumeId        parent_VolumeId
0  2013-12-18T22:35:00.000Z                True  /dev/sda1  i-1234567890abcdef0  attached  vol-049df61146c4d7901  vol-049df61146c4d7901
1  2013-12-18T22:35:11.000Z                True  /dev/sda1  i-1234567890abcdef1  attached  vol-049df61146c4d7111  vol-049df61146c4d7901

In [217]: t
Out[217]:
         Key              Value        parent_VolumeId
0       Name  DBJanitor-Private  vol-049df61146c4d7901
1      Owner          DBJanitor  vol-049df61146c4d7901
2    Product           Database  vol-049df61146c4d7901
3  Portfolio         DB Janitor  vol-049df61146c4d7901
4    Service         DB Service  vol-049df61146c4d7901

परीक्षण JSON फ़ाइल:

{
    "Volumes": [
        {
            "AvailabilityZone": "us-east-1a",
            "Attachments": [
                {
                    "AttachTime": "2013-12-18T22:35:00.000Z",
                    "InstanceId": "i-1234567890abcdef0",
                    "VolumeId": "vol-049df61146c4d7901",
                    "State": "attached",
                    "DeleteOnTermination": true,
                    "Device": "/dev/sda1"
                },
                {
                    "AttachTime": "2013-12-18T22:35:11.000Z",
                    "InstanceId": "i-1234567890abcdef1",
                    "VolumeId": "vol-049df61146c4d7111",
                    "State": "attached",
                    "DeleteOnTermination": true,
                    "Device": "/dev/sda1"
                }
            ],
            "Tags": [
                {
                    "Value": "DBJanitor-Private",
                    "Key": "Name"
                },
                {
                    "Value": "DBJanitor",
                    "Key": "Owner"
                },
                {
                    "Value": "Database",
                    "Key": "Product"
                },
                {
                    "Value": "DB Janitor",
                    "Key": "Portfolio"
                },
                {
                    "Value": "DB Service",
                    "Key": "Service"
                }
            ],
            "VolumeType": "standard",
            "VolumeId": "vol-049df61146c4d7901",
            "State": "in-use",
            "SnapshotId": "snap-1234567890abcdef0",
            "CreateTime": "2013-12-18T22:35:00.084Z",
            "Size": 8
        },
        {
            "AvailabilityZone": "us-east-1a",
            "Attachments": [],
            "VolumeType": "io1",
            "VolumeId": "vol-1234567890abcdef0",
            "State": "available",
            "Iops": 1000,
            "SnapshotId": null,
            "CreateTime": "2014-02-27T00:02:41.791Z",
            "Size": 100
        }
    ]
}


  1. Database
  2.   
  3. Mysql
  4.   
  5. Oracle
  6.   
  7. Sqlserver
  8.   
  9. PostgreSQL
  10.   
  11. Access
  12.   
  13. SQLite
  14.   
  15. MariaDB
  1. MySQL कनेक्टर एनम को वास्तविक एक से कम मान के साथ जोड़ रहा है

  2. मैं अपनी साइट पर अद्वितीय विज़िटर की गणना कैसे करूं?

  3. क्या MySQL एक संग्रहीत UTC समय को स्थानीय समयक्षेत्र में परिवर्तित कर सकता है?

  4. ClusterControl 1.7.2 की घोषणा:TimescaleDB और MySQL 8.0 के लिए बेहतर पोस्टग्रेएसक्यूएल बैकअप और समर्थन

  5. स्ट्रीमिंग बड़े परिणाम MySQL के साथ सेट होते हैं