我正在尝试学习如何将以下json格式转换为SQL表格。我使用了Python pandas,它将JSON节点转换为字典。
相同的JSON:
我正努力学习如何将以下JSON格式转换为SQL表格。我使用的是Python pandas,并且它将JSON节点转换为字典。
相同的JSON:
{
"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"
}
],
"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
}
]
}
直到现在..这是我试图在Python中做的事情:
asg_list_json_Tags=asg_list_json["AutoScalingGroups"]
Tags=pandas.DataFrame(asg_list_json_Tags)
n = []
for i in Tags.columns:
n.append(i)
print n
engine = create_engine("mysql+mysqldb://user:"+'pwd'+"@mysqlserver/dbname")
Tags.to_sql(name='TableName', con=engine, if_exists='append', index=True)
json_normalize
,因为没有“Attachments”的记录将不会被解析... - MaxU - stand with UkraineAttachments
对于所有记录都是存在的。 - DataJanitor