我想要一个通用的方法来直接从选定的列名称生成列标签,并回想一下,看到python的psycopg2模块支持此功能。如何从psycopg2游标获取列名称列表?
69
A
回答
116
从“编程的Python”由马克·鲁茨:
curs.execute("Select * FROM people")
colnames = [desc[0] for desc in curs.description]
15
要获得一个单独的查询的列名,您可以查询INFORMATION_SCHEMA.COLUMNS表。在同一个查询的数据行
#!/usr/bin/env python3
import psycopg2
if __name__ == '__main__':
DSN = 'host=YOUR_DATABASE_HOST port=YOUR_DATABASE_PORT dbname=YOUR_DATABASE_NAME user=YOUR_DATABASE_USER'
column_names = []
with psycopg2.connect(DSN) as connection:
with connection.cursor() as cursor:
cursor.execute("select column_name from information_schema.columns where table_schema = 'YOUR_SCHEMA_NAME' and table_name='YOUR_TABLE_NAME'")
column_names = [row[0] for row in cursor]
print("Column names: {}\n".format(column_names))
要获得列名,你可以使用光标的描述字段:
#!/usr/bin/env python3
import psycopg2
if __name__ == '__main__':
DSN = 'host=YOUR_DATABASE_HOST port=YOUR_DATABASE_PORT dbname=YOUR_DATABASE_NAME user=YOUR_DATABASE_USER'
column_names = []
data_rows = []
with psycopg2.connect(DSN) as connection:
with connection.cursor() as cursor:
cursor.execute("select field1, field2, fieldn from table1")
column_names = [desc[0] for desc in cursor.description]
for row in cursor:
data_rows.append(row)
print("Column names: {}\n".format(column_names))
0
我注意到,你必须在查询后使用cursor.fetchone()
获得cursor.description
列的列表(即[desc[0] for desc in curs.description]
)
-2
#!/usr/bin/python
import psycopg2
#note that we have to import the Psycopg2 extras library!
import psycopg2.extras
import sys
def main():
conn_string = "host='localhost' dbname='my_database' user='postgres' password='secret'"
# print the connection string we will use to connect
print "Connecting to database\n ->%s" % (conn_string)
# get a connection, if a connect cannot be made an exception will be raised here
conn = psycopg2.connect(conn_string)
# conn.cursor will return a cursor object, you can use this query to perform queries
# note that in this example we pass a cursor_factory argument that will
# dictionary cursor so COLUMNS will be returned as a dictionary so we
# can access columns by their name instead of index.
cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
# tell postgres to use more work memory
work_mem = 2048
# by passing a tuple as the 2nd argument to the execution function our
# %s string variable will get replaced with the order of variables in
# the list. In this case there is only 1 variable.
# Note that in python you specify a tuple with one item in it by placing
# a comma after the first variable and surrounding it in parentheses.
cursor.execute('SET work_mem TO %s', (work_mem,))
# Then we get the work memory we just set -> we know we only want the
# first ROW so we call fetchone.
# then we use bracket access to get the FIRST value.
# Note that even though we've returned the columns by name we can still
# access columns by numeric index as well - which is really nice.
cursor.execute('SHOW work_mem')
# Call fetchone - which will fetch the first row returned from the
# database.
memory = cursor.fetchone()
# access the column by numeric index:
# even though we enabled columns by name I'm showing you this to
# show that you can still access columns by index and iterate over them.
print "Value: ", memory[0]
# print the entire row
print "Row: ", memory
if __name__ == "__main__":
main()
1
我人所以曾经面临类似的问题。我用一个简单的技巧来解决这个问题。 假设你像
col_name = ['a', 'b', 'c']
然后列表有列名,你可以做以下
for row in cursor.fetchone():
print zip(col_name, row)
0
执行SQL查询写下面写在2.7
total_fields = len(cursor.description)
fields_names = [i[0] for i in cursor.description
Print fields_names
3
如果你想python脚本后从db查询命名为obj obj,可以使用以下代码片段:
from collections import namedtuple
def create_record(obj, fields):
''' given obj from db returns namedtuple with fields mapped to values '''
Record = namedtuple("Record", fields)
mappings = dict(zip(fields, obj))
return Record(**mappings)
cur.execute("Select * FROM people")
colnames = [desc[0] for desc in cur.description]
rows = cur.fetchall()
cur.close()
result = []
for row in rows:
result.append(create_record(row, colnames))
这allowes你,好像他们是类属性,即
record.id,record.other_table_column_name等
,甚至更短的以评估记录值
from psycopg2.extras import NamedTupleCursor
with cursor(cursor_factory=NamedTupleCursor) as cur:
cur.execute("Select * ...")
return cur.fetchall()
7
你可以做的另一件事是创建一个游标,你将能够通过他们的名字来引用你的列(这是一个需求,导致我到这个页面第一个地方):
import psycopg2
from psycopg2.extras import RealDictCursor
ps_conn = psycopg2.connect(...)
ps_cursor = psql_conn.cursor(cursor_factory=RealDictCursor)
ps_cursor.execute('select 1 as col_a, 2 as col_b')
my_record = ps_cursor.fetchone()
print (my_record['col_a'],my_record['col_b'])
>> 1, 2
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如果您只是想要列名称,请不要选择表中的所有行。这是更有效的:'curs.execute(“SELECT * FROM people LIMIT 0”)' – Demitri 2012-09-06 22:03:46
值得一提的是,这对视图和表格都有效,但它不能(很容易)从视图获取列名'information_schema'。 – wjv 2016-06-23 07:30:18
可能更直观地得到名称作为属性: colnames = [des.desc.name用于des.c in curs.description] – dexgecko 2018-01-15 23:28:52