如何使用pyscopg2以编程方式获取表结构

时间:2016-05-27 08:16:37

标签: python postgresql flask psycopg2

当我执行程序 application.py 时,我收到此错误:

psycopg2.ProgrammingError
ProgrammingError: ERREUR:  erreur de syntaxe sur ou près de « "/d" »
LINE 1: "/d" carto."BADGES_SFR"

(英文" ProgrammingError: ERREUR: syntax error at or near « "/d" » ")我的目标是获得表格结构

这是以下代码 application.py

#!/usr/bin/python 2.7.6
# -*- coding:utf-8 -*-
import os
import sys
from flask import Flask,render_template
import psycopg2
reload(sys)  
sys.setdefaultencoding('utf8')
app = Flask(__name__)

@app.route('/')
def fihoum():
    conn = psycopg2.connect(database="carto", user="postgres", password="daed5Aemo", host="192.168.12.54")
    cur = conn.cursor()
    #cur.execute("SELECT * FROM carto.\"BADGES_SFR\"")
    cur.execute("/d carto.\"BADGES_SFR\"")
    rows = cur.fetchall()
    return render_template('hello.html', titre="Données du client BADGES_SFR !",mots=rows)

if __name__=="__main__":
    app.run(host=os.getenv('IP', '0.0.0.0'), 
            port=int(os.getenv('PORT',5000)),
            debug=True)

2 个答案:

答案 0 :(得分:3)

首先它是**<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/> <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>** (请注意反斜杠\d <table_name>而不是\d),但这只适用于psql互动终端

  

我的[目标]这个程序是获取表结构

您可以使用包含所需信息的SQL表/d

information_schema.columns

以下是可供使用的列的列表:https://www.postgresql.org/docs/9.4/static/infoschema-columns.html

<强>段

SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_name = '<table_name>';

    column_name     |     data_type     | is_nullable 
--------------------+-------------------+-------------
 column_a           | integer           | YES
 column_b           | boolean           | NO

Jinja2 / Flask集成的提示:

考虑使用psycopg2.extras.DictCursor,它会让您更容易根据Flask模板中的列名(dict键)提取信息,因为您将拥有一个可以访问的字典,例如:使用import psycopg2 conn = psycopg2.connect(database='carto', user=..., password=...) q = """ SELECT column_name, data_type, is_nullable FROM information_schema.columns WHERE table_name = %s; """ cur = conn.cursor() cur.execute(q, ('BADGES_SFR',)) # (table_name,) passed as tuple cur.fetchall() # Example Output [('column_a', 'integer', 'YES'), ('column_b', 'boolean', 'NO'), ..., ] row['data_type']

答案 1 :(得分:1)

如果您只需要列description

>>> cur.execute('select * from t')
>>> description = cur.description
>>> print description
(Column(name='record_timestamptz', type_code=1184, display_size=None, internal_size=8, precision=None, scale=None, null_ok=None),)
>>> columns = description[0]
>>> print columns.name, columns.type_code
record_timestamptz 1184

对于数据类型名称缓存,应用程序的pg_type关系开始并使其成为字典:

cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)

cursor.execute ('select oid, * from pg_type')

pg_type = dict([(t['oid'], t['typname']) for t in cursor.fetchall()])

cursor.execute ('select * from t')

for t in cursor.description:
    print t.name, t.type_code, pg_type[t.type_code]