是否有一种简单的方法可以从Linux命令行运行MySQL查询并以CSV格式输出结果?
以下是我现在正在做的:
mysql -u uid -ppwd -D dbname << EOQ | sed -e 's/ /,/g' | tee list.csv
select id, concat("\"",name,"\"") as name
from students
EOQ
当有很多列需要用引号括起来时,或者如果结果中有需要转义的引号,就会变得混乱。
是否有一种简单的方法可以从Linux命令行运行MySQL查询并以CSV格式输出结果?
以下是我现在正在做的:
mysql -u uid -ppwd -D dbname << EOQ | sed -e 's/ /,/g' | tee list.csv
select id, concat("\"",name,"\"") as name
from students
EOQ
当有很多列需要用引号括起来时,或者如果结果中有需要转义的引号,就会变得混乱。
当前回答
微小的Bash脚本,用于对CSV转储进行简单查询,灵感来自Tim Harding的回答。
#!/bin/bash
# $1 = query to execute
# $2 = outfile
# $3 = mysql database name
# $4 = mysql username
if [ -z "$1" ]; then
echo "Query not given"
exit 1
fi
if [ -z "$2" ]; then
echo "Outfile not given"
exit 1
fi
MYSQL_DB=""
MYSQL_USER="root"
if [ ! -z "$3" ]; then
MYSQL_DB=$3
fi
if [ ! -z "$4" ]; then
MYSQL_USER=$4
fi
if [ -z "$MYSQL_DB" ]; then
echo "Database name not given"
exit 1
fi
if [ -z "$MYSQL_USER" ]; then
echo "Database user not given"
exit 1
fi
mysql -u $MYSQL_USER -p -D $MYSQL_DB -B -s -e "$1" | sed "s/'/\'/;s/\t/\",\"/g;s/^/\"/;s/$/\"/;s/\n//g" > $2
echo "Written to $2"
其他回答
mysql your_database --password=foo < my_requests.sql > out.tsv
这将产生一个制表符分隔的格式。如果你确定逗号没有出现在任何列数据中(选项卡也没有),你可以使用这个管道命令来获得一个真正的CSV(感谢用户John Carter):
... .sql | sed 's/\t/,/g' > out.csv
如果在服务器上设置了PHP,可以使用mysql2csv为任意MySQL查询导出一个(实际上有效的)CSV文件。看到我的答案在MySQL - SELECT * INTO OUTFILE LOCAL ?为了了解更多的背景/信息。
我试图从mysql中维护选项名称,因此它应该足以提供——file和——query选项:
./mysql2csv --file="/tmp/result.csv" --query='SELECT 1 as foo, 2 as bar;' --user="username" --password="password"
安装mysql2csv via
wget https://gist.githubusercontent.com/paslandau/37bf787eab1b84fc7ae679d1823cf401/raw/29a48bb0a43f6750858e1ddec054d3552f3cbc45/mysql2csv -O mysql2csv -q && (sha256sum mysql2csv | cmp <(echo "b109535b29733bd596ecc8608e008732e617e97906f119c66dd7cf6ab2865a65 mysql2csv") || (echo "ERROR comparing hash, Found:" ;sha256sum mysql2csv) ) && chmod +x mysql2csv
(下载要点内容,检查校验和,使其可执行)
这个答案使用Python和一个流行的第三方库,PyMySQL。我添加它是因为Python的csv库足够强大,可以正确处理许多不同风格的.csv,而且没有其他答案使用Python代码与数据库交互。
import contextlib
import csv
import datetime
import os
# https://github.com/PyMySQL/PyMySQL
import pymysql
SQL_QUERY = """
SELECT * FROM my_table WHERE my_attribute = 'my_attribute';
"""
# embedding passwords in code gets nasty when you use version control
# the environment is not much better, but this is an example
# https://stackoverflow.com/questions/12461484
SQL_USER = os.environ['SQL_USER']
SQL_PASS = os.environ['SQL_PASS']
connection = pymysql.connect(host='localhost',
user=SQL_USER,
password=SQL_PASS,
db='dbname')
with contextlib.closing(connection):
with connection.cursor() as cursor:
cursor.execute(SQL_QUERY)
# Hope you have enough memory :)
results = cursor.fetchall()
output_file = 'my_query-{}.csv'.format(datetime.datetime.today().strftime('%Y-%m-%d'))
with open(output_file, 'w', newline='') as csvfile:
# http://stackoverflow.com/a/17725590/2958070 about lineterminator
csv_writer = csv.writer(csvfile, lineterminator='\n')
csv_writer.writerows(results)
微小的Bash脚本,用于对CSV转储进行简单查询,灵感来自Tim Harding的回答。
#!/bin/bash
# $1 = query to execute
# $2 = outfile
# $3 = mysql database name
# $4 = mysql username
if [ -z "$1" ]; then
echo "Query not given"
exit 1
fi
if [ -z "$2" ]; then
echo "Outfile not given"
exit 1
fi
MYSQL_DB=""
MYSQL_USER="root"
if [ ! -z "$3" ]; then
MYSQL_DB=$3
fi
if [ ! -z "$4" ]; then
MYSQL_USER=$4
fi
if [ -z "$MYSQL_DB" ]; then
echo "Database name not given"
exit 1
fi
if [ -z "$MYSQL_USER" ]; then
echo "Database user not given"
exit 1
fi
mysql -u $MYSQL_USER -p -D $MYSQL_DB -B -s -e "$1" | sed "s/'/\'/;s/\t/\",\"/g;s/^/\"/;s/$/\"/;s/\n//g" > $2
echo "Written to $2"
从Save MySQL查询结果到一个文本或CSV文件:
SELECT order_id,product_name,qty
FROM orders
WHERE foo = 'bar'
INTO OUTFILE '/var/lib/mysql-files/orders.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n';
注意:该语法可能需要重新排序
SELECT order_id,product_name,qty
INTO OUTFILE '/var/lib/mysql-files/orders.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
FROM orders
WHERE foo = 'bar';
在MySQL的最新版本。
使用此命令,将不会导出列名。
还要注意/var/lib/ MySQL -files/orders.csv将在运行MySQL的服务器上。MySQL进程运行所在的用户必须具有写入所选目录的权限,否则该命令将失败。
如果您想从远程服务器(特别是托管或虚拟机,如Heroku或Amazon RDS)向本地机器写入输出,则此解决方案不适合。