关于python 2.7：如何使用psycopg2将postgresql的结果保存到csv / excel文件？


How to save results of postgresql to csv/excel file using psycopg2?

我在postgresql中使用driving_distance来查找所有节点之间的距离，这是我在pyscripter中的python脚本，

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import sys

#set up psycopg2 environment
import psycopg2

#driving_distance module
query ="""
    select *
    from driving_distance ($$
        select
            gid as id,
            start_id::int4 as source,
            end_id::int4 as target,
            shape_leng::double precision as cost
        from network
        $$, %s, %s, %s, %s
    )
;"""

#make connection BETWEEN python AND postgresql
conn = psycopg2.connect("dbname = 'routing_template' user = 'postgres' host = 'localhost' password = '****'")
cur = conn.cursor()

#count ROWS IN the TABLE
cur.execute("select count(*) from network")
RESULT = cur.fetchone()
k = RESULT[0] + 1

#run loops
rs = []
i = 1
while i <= k:
    cur.execute(query, (i, 1000000, FALSE, FALSE))
    rs.append(cur.fetchall())
    i = i + 1

#print RESULT
FOR record IN rs:
    print record
conn.close()

结果很好，python解释器中的部分内容如下所示，

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[(1, 2, 35789.4069722436), (2, 2, 31060.0761437413), (3, 19, 30915.1312550546), (4, 3, 33438.0715007666), (5, 4, 29149.0894812718), (6, 7, 25504.020006665), (7, 7, 29594.741802956), (8, 5, 20736.2427352646), (9, 10, 19545.809601197), (10, 8, 22609.5146670393), (11, 9, 14134.5400189648), (12, 11, 12266.7845493204), (13, 18, 17426.7449057031), (14, 21, 11754.7277029158), (15, 18, 13128.3548040769), (16, 20, 21924.2253916803), (17, 11, 15209.9969992088), (18, 20, 26316.7797545076), (19, 13, 604.414419026164), (20, 16, 740.652673783403), (21, 15, 0.0), (22, 15, 2378.768084459)]
[(1, 2, 38168.1750567026), (2, 2, 33438.8442282003), (3, 19, 33293.8993395136), (4, 3, 35816.8395852256), (5, 4, 31527.8575657308), (6, 7, 27882.788091124), (7, 7, 31973.509887415), (8, 5, 23115.0108197236), (9, 10, 21924.577685656), (10, 8, 24988.2827514983), (11, 9, 16513.3081034238), (12, 11, 14645.5526337793), (13, 18, 19805.5129901621), (14, 21, 14133.4957873748), (15, 18, 15507.1228885359), (16, 20, 24302.9934761393), (17, 11, 17588.7650836678), (18, 20, 28695.5478389666), (19, 13, 2983.18250348516), (20, 16, 3119.4207582424), (21, 15, 2378.768084459), (22, 15, 0.0)]

我想将这些结果导出到新的csv或excel文件，我看过这些相关的帖子和网站，

  • PostgreSQL：将结果数据从SQL查询导出到Excel / CSV
  • 将(postgres)sql输出保存到csv文件
  • Psycopg 2.5.3.dev0文档

但仍然无法将这些工作输出到pyscripter下，我该怎么办？

我正在使用Windows 8.1 x64下的postgresql 8.4，python 2.7.6。

更新＃1：
我尝试了Talvalin提供的以下代码(谢谢！)，

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import sys

#set up psycopg2 environment
import psycopg2

#driving_distance module
query ="""
    select *
    from driving_distance ($$
        select
            gid as id,
            start_id::int4 as source,
            end_id::int4 as target,
            shape_leng::double precision as cost
        from network
        $$, %s, %s, %s, %s
    )
"""

#make connection BETWEEN python AND postgresql
conn = psycopg2.connect("dbname = 'TC_routing' user = 'postgres' host = 'localhost' password = '****'")
cur = conn.cursor()

outputquery = 'copy ({0}) to stdout with csv header'.format(query)

WITH OPEN('resultsfile', 'w') AS f:
    cur.copy_expert(outputquery, f)

conn.close()

但是下面有错误，

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>>>

Traceback (most recent CALL LAST):
  File"C:/Users/Heinz/Desktop/python_test/driving_distance_loop_test.py", line 27, IN <module>
    cur.copy_expert(outputquery, f)
ProgrammingError: 錯誤:  在"語法錯誤"附近發生 %
LINE 10:         $$, %s, %s, %s, %s
                     ^

也许我需要在上面的代码中添加更多内容。

相关讨论

基于Psycopg2的cursor.copy_expert()和Postgres COPY文档以及您的原始代码示例，请试一试。 我在笔记本电脑上测试了类似的查询导出，所以我有理由相信这应该有用，但如果有任何问题请告诉我。

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import sys

#set up psycopg2 environment
import psycopg2

#driving_distance module
#note the lack OF TRAILING semi-colon IN the query string, AS per the Postgres documentation
query ="""
    select *
    from driving_distance ($$
        select
            gid as id,
            start_id::int4 as source,
            end_id::int4 as target,
            shape_leng::double precision as cost
        from network
        $$, %s, %s, %s, %s
    )
"""

#make connection BETWEEN python AND postgresql
conn = psycopg2.connect("dbname = 'routing_template' user = 'postgres' host = 'localhost' password = 'xxxx'")
cur = conn.cursor()

outputquery ="COPY ({0}) TO STDOUT WITH CSV HEADER".format(query)

WITH OPEN('resultsfile', 'w') AS f:
    cur.copy_expert(outputquery, f)

conn.close()
相关讨论