通过python解析Json数据并更新sql表答案

【问题标题】：Parse Json data and update in sql table via python通过python解析Json数据并更新sql表
【发布时间】：2017-08-20 12:14:25
【问题描述】：

我是第一次在 python 中解析 JSON，所以无法找出获取数据的正确方法。我在 python 中从名为 "table1" 的 sql 表中访问 JSON 数据解析数据并将这些记录更新回 "table1" 中。所以这是我的 sql 表

ID   JSON            Street_Numb   Street_Name   Route   sublocality   Country   ...
12  <json_objects>   NA            NA            NA      NA            NA   ...
40  <json_objects>   NA            NA            NA      NA            NA   ...
30  <json_objects>   NA            NA            NA      NA            NA   ...

在上表中，实际的 JSON 数据无法累积，所以我将其单独粘贴在下面 JSON

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India","geometry":{"bounds":{"northeast":{"lat":22.028441,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}},"location":{"lat":19.7514798,"lng":75.7138884},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":22.0279091,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}}},"place_id":"ChIJ-dacnB7EzzsRtk_gS5IiLxs","types":["administrative_area_level_1","political"]},{"address_components":[{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"India","geometry":{"bounds":{"northeast":{"lat":35.5087008,"lng":97.39535869999999},"southwest":{"lat":6.4626999,"lng":68.1097}},"location":{"lat":20.593684,"lng":78.96288},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":35.5087008,"lng":97.39498069999999},"southwest":{"lat":6.7535159,"lng":68.16288519999999}}},"place_id":"ChIJkbeSa_BfYzARphNChaFPjNc","types":["country","political"]}],"status":"OK"}

因此，对于表中那些值为 NA 的列，我希望通过从每个记录中提取 JSON 对象来填充它们。

所以这是我试过的代码，

import pyodbc
import json
import numpy as np
import pandas as pd
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=myServer;DATABASE=temp;UID=ADMIN;PWD=abc@123;autocommit=True')
cursor = cnxn.cursor()
cursor.execute("select TOP 3 ID, JSON from table1 where JSON is NOT NULL AND Country is NULL")

ID=[]
JSON=[]

for row in cursor.fetchall():
     ID.append(row[0]) 
     JSON.append(row[1])
    jsonData = jsonResponse["data"]
    for item in jsonData:
        Street_Numb = item.get("Street_Numb")[1]  #access only first address component
        Street_Name = item.get("Street_Name")[1] #access only first address component
        Route       = item.get("Route")[1] #access only first address component
        sublocality = item.get("sublocality")[1] #access only first address component
        Country = item.get("Country")[1] #access only first address component



    for i in data:
           cursor.execute("UPDATE table1 SET  Street_Numb = ?, Street_Name=?,Route=?,sublocality=?,Country=?)

因此，对于每个 JSON 对象，都有多个地址组件，因此我只想访问第一个地址组件。但实际上无法找到可以完成的方法。

任何建议都会非常有帮助。谢谢

【问题讨论】：

标签： python sql-server json pandas pyodbc

【解决方案1】：

因此，对于每个 JSON 对象，都有多个地址组件，因此我只想从它们访问第一个地址组件。

这是您的第一个挑战。其他挑战是：

地址组件类型在“types”属性中被指定为一个值，所以你不能通过name访问它们，并且
某些类型（例如，“sublocality”）可以出现多次。

在for row in cursor.fetchall(): 循环中，您可以将“ID”和“JSON”列值保存为简单变量，

id = row[0]
json_string = row[1]

您可以将地址组件值提取到列表字典中，然后将列表连接成单个字符串：

address_fields = {
    'street_number': [],
    'route': [],
    'sublocality': [],
    }
json_all = json.loads(json_string)
json_results = json_all['results']
first_address_components = json_results[0]['address_components']
for item in first_address_components:
    for field_key in address_fields.keys():
        if field_key in item['types']:
            address_fields[field_key].append(item['short_name'])
# convert lists to single strings
address_fields = {key: ', '.join(values) for key, values in address_fields.items()}

pprint(address_fields)

使用pprint（仅用于演示目的）制作

{'route': 'BT Kawde Road',
 'street_number': '16',
 'sublocality': 'Uday Baug, Ghorpadi'}

然后您可以使用如下代码继续更新表格：

sql = """\
UPDATE table1 SET Street_Numb=?, Route=?, sublocality=? WHERE ID=?
"""
params = (
    address_fields['street_number'],
    address_fields['route'],
    address_fields['sublocality'],
    id
    )
crsr.execute(sql, params)

【讨论】：

使用你的代码，它给出了一个错误“TypeError: the JSON object must be str, bytes or bytearray, not 'list'”
我用"dumpData = json.dumps(json_string) json_all = json.loads(dumpData) json_results = json_all['results']" 上面提到的错误消失了，但现在它产生了新的错误"TypeError: JSON 对象必须是 str、bytes 或 bytearray，而不是 'list'"
我看到你得到了答案here。
哦，抱歉……是的 Gord Thompson，但核心逻辑来自您的回答……感谢您的时间和努力……它挽救了我的一天……非常感谢！...答案已被采纳！！！

【解决方案2】：

猜测您正在从数据库中获取正确的 json 对象。如果没有，您可以转储和加载数据。

dumpData = json.dumps(jsonResponse["data"])
jsonData = json.loads(dumpData)

问题在于循环。

address_components = data['results'][0]["address_components"]
Street_Numb = None
for item in address_components:
  if 'street_number'in item['types']:
    Street_Numb = item.get("long_name")

DEMO

【讨论】：