Use of TCL script with SQL - tcl

I want to write a TCL script in which i need to use MySQL. I have to (1) read a file; from that (2) copy data into a SQL table, and after that (3) query data from that table based on requirement. But I am unable to find how to copy data from file to SQL table and then how to query for that table in TCL.

LOAD DATA INFILE 'path/filename.csv' #loading data from a csv file
INTO TABLE tablename #tablename is user defined
FIELDS TERMINATED BY ',' #csv files use comma separated values
LINES TERMINATED BY '\n' #till the last column
IGNORE 1 LINES #ignores the first row if you need
proc mysql_connect {} {
variable mysql_dbh ; variable command
set mysql_host "hostwebsite"
set mysql_user "username"
set mysql_password "password"
set mysql_db "databasename"
## loading the driver
set libmysql_path "driver path"
if {[catch {load $libmysql_path}]} {
puts "$command Error: Unable to load mysql file" ; exit
}
## making connection with mysql db
if {[catch {set ::mysql_dbh [::mysql::connect -h $mysql_host -u $mysql_user -password $mysql_password -db $mysql_db]}]} {
puts "$command Error: Unable to connect mysql DB"; exit
}
puts "Db connected"
}
proc QueryDisplay {} {
mysql_connect
set rows [::mysql::sel $::mysql_dbh "select *from tablename" -list]
foreach data $rows {
puts $data
}
}
proc mysql_disconnect {} {
variable mysql_dbh
::mysql::close $::mysql_dbh
}

Related

windows Perl script run on LINUX

I'm trying to let a windows perl script run on linux, but it's not work, I want to know what mistake I made.
Originally, it was running on windows and connect to the local mysql db, but now I want to transfer it to linux. I installed docker on Linux and wanted to connect to the mysql db in container, but the revised script kept reporting an error
On Windows mysql version is 5.1
on Linux mysql version is 8.0
original script on windows
foreach my $file (#files) {
$command = '-e "LOAD DATA LOCAL INFILE \''.$file.'\' REPLACE INTO TABLE test FIELDS TERMINATED BY \'|\' LINES TERMINATED BY \'\\r\\n\' IGNORE 1 LINES (#v001, #v002, #v003, #v004, #v005) SET `CA` = TRIM(#v001), `CB` = TRIM(#v002),`CD` = TRIM(#v003),`CE` = TRIM(#v004),`CF` = TRIM(#v005);"';
system('mysql', '-hlocalhost', $user, $password, $command) == 0 or err("ERROR:Failed to load file to test: $! \n");
$nfile = "D:\\DONE\\".getmodifydate($file); #file last modify time
move($file, $nfile);
}
On Linux
sub docker_mysql {
$docker_mysql = "mysql", "-h$localhost", $database, $user, $password;
}
system(docker_mysql(), '-e', "DELETE FROM test WHERE 1") == 0 or
err("ERROR:Failed to delete record from test: $! ");
foreach my $file (#files) {
$command = "LOAD DATA LOCAL INFILE \'$file'\' REPLACE INTO TABLE test FIELDS TERMINATED BY \'|\' LINES TERMINATED BY \'\\n\' IGNORE 1 LINES (\#v001, \#v002, \#v003, \#v004, \#v005) SET `CA` = TRIM(\#v001), `CB` = TRIM(\#v002),`CD` = TRIM(\#v003),`CE` = TRIM(\#v004),`CF` = TRIM(\#v005);";
system(docker_mysql(), '-e', $command,) == 0 or
err("ERROR:Failed to load file to test: $! \n");
$nfile = "./DONE/".getmodifydate($file); #file last modify time
move($file, $nfile);
}
This is the error code after execution
ERROR 1064 (42000) at line 1: You have an error in your SQL syntax; check the manual that
corresponds to your MySQL server version for the right syntax to use
near '|' LINES TERMINATED BY '
' IGNORE 1 LINES (#v001, #v002, #v003, #v004, #v005) SE' at line 1
You need to escape the backslash that is part of \n to send an actual line-feed, not an n.
$command = "[...] LINES TERMINATED BY \'\n\' [...]";
^^ This should be \\n

Export sql table with data that has commas to a csv file [duplicate]

Is there an easy way to run a MySQL query from the Linux command line and output the results in CSV format?
Here's what I'm doing now:
mysql -u uid -ppwd -D dbname << EOQ | sed -e 's/ /,/g' | tee list.csv
select id, concat("\"",name,"\"") as name
from students
EOQ
It gets messy when there are a lot of columns that need to be surrounded by quotes, or if there are quotes in the results that need to be escaped.
From Save MySQL query results into a text or CSV file:
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';
Note: That syntax may need to be reordered to
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';
in more recent versions of MySQL.
Using this command, columns names will not be exported.
Also note that /var/lib/mysql-files/orders.csv will be on the server that is running MySQL. The user that the MySQL process is running under must have permissions to write to the directory chosen, or the command will fail.
If you want to write output to your local machine from a remote server (especially a hosted or virtualize machine such as Heroku or Amazon RDS), this solution is not suitable.
mysql your_database --password=foo < my_requests.sql > out.tsv
This produces a tab-separated format. If you are certain that commas do not appear in any of the column data (and neither do tabs), you can use this pipe command to get a true CSV (thanks to user John Carter):
... .sql | sed 's/\t/,/g' > out.csv
mysql --batch, -B
Print results using tab as the column separator, with each row on a
new line. With this option, mysql does not use the history file.
Batch mode results in non-tabular output format and escaping of
special characters. Escaping may be disabled by using raw mode; see
the description for the --raw option.
This will give you a tab-separated file. Since commas (or strings containing comma) are not escaped, it is not straightforward to change the delimiter to comma.
Here's a fairly gnarly way of doing it[1]:
mysql --user=wibble --password mydatabasename -B -e "select * from vehicle_categories;" | sed "s/'/\'/;s/\t/\",\"/g;s/^/\"/;s/$/\"/;s/\n//g" > vehicle_categories.csv
It works pretty well. Once again, though, a regular expression proves write-only.
Regex Explanation:
s/// means substitute what's between the first // with what's between the second //
the "g" at the end is a modifier that means "all instance, not just first"
^ (in this context) means beginning of line
$ (in this context) means end of line
So, putting it all together:
s/'/\'/ Replace ' with \'
s/\t/\",\"/g Replace all \t (tab) with ","
s/^/\"/ at the beginning of the line place a "
s/$/\"/ At the end of the line, place a "
s/\n//g Replace all \n (newline) with nothing
[1] I found it somewhere and can't take any credit.
Pipe it through 'tr' (Unix/Cygwin only):
mysql <database> -e "<query here>" | tr '\t' ',' > data.csv
N.B.: This handles neither embedded commas, nor embedded tabs.
This saved me a couple of times. It is fast and it works!
--batch
Print results using tab as the column separator, with each row on a
new line.
--raw disables character escaping (\n, \t, \0, and \)
Example:
mysql -udemo_user -p -h127.0.0.1 --port=3306 \
--default-character-set=utf8mb4 --database=demo_database \
--batch --raw < /tmp/demo_sql_query.sql > /tmp/demo_csv_export.tsv
For completeness you could convert to CSV (but be careful because tabs could be inside field values - e.g., text fields)
tr '\t' ',' < file.tsv > file.csv
The OUTFILE solution given by Paul Tomblin causes a file to be written on the MySQL server itself, so this will work only if you have FILE access, as well as login access or other means for retrieving the file from that box.
If you don't have such access, and tab-delimited output is a reasonable substitute for CSV (e.g., if your end goal is to import to Excel), then serbaut's solution (using mysql --batch and optionally --raw) is the way to go.
MySQL Workbench can export recordsets to CSV, and it seems to handle commas in fields very well. The CSV opens up in OpenOffice Calc fine.
All of the solutions here to date, except the MySQL Workbench one, are incorrect and quite possibly unsafe (i.e., security issues) for at least some possible content in the MySQL database.
MySQL Workbench (and similarly phpMyAdmin) provide a formally correct solution, but they are designed for downloading the output to a user's location. They're not so useful for things like automating data export.
It is not possible to generate reliably correct CSV content from the output of mysql -B -e 'SELECT ...' because that cannot encode carriage returns and white space in fields. The '-s' flag to mysql does do backslash escaping, and might lead to a correct solution. However, using a scripting language (one with decent internal data structures that is, not Bash), and libraries where the encoding issues have already been carefully worked out is far safer.
I thought about writing a script for this, but as soon as I thought about what I'd call it, it occurred to me to search for preexisting work by the same name. While I haven't gone over it thoroughly, mysql2csv looks promising. Depending on your application, the YAML approach to specifying the SQL commands might or might not appeal though. I'm also not thrilled with the requirement for a more recent version of Ruby than comes as standard with my Ubuntu 12.04 (Precise Pangolin) laptop or Debian 6.0 (Squeeze) servers. Yes, I know I could use RVM, but I'd rather not maintain that for such a simple purpose.
Use:
mysql your_database -p < my_requests.sql | awk '{print $1","$2}' > out.csv
Many of the answers on this page are weak, because they don't handle the general case of what can occur in CSV format. E.g., commas and quotes embedded in fields and other conditions that always come up eventually. We need a general solution that works for all valid CSV input data.
Here's a simple and strong solution in Python:
#!/usr/bin/env python
import csv
import sys
tab_in = csv.reader(sys.stdin, dialect=csv.excel_tab)
comma_out = csv.writer(sys.stdout, dialect=csv.excel)
for row in tab_in:
comma_out.writerow(row)
Name that file tab2csv, put it on your path, give it execute permissions, then use it like this:
mysql OTHER_OPTIONS --batch --execute='select * from whatever;' | tab2csv > outfile.csv
The Python CSV-handling functions cover corner cases for CSV input format(s).
This could be improved to handle very large files via a streaming approach.
From your command line, you can do this:
mysql -h *hostname* -P *port number* --database=*database_name* -u *username* -p -e *your SQL query* | sed 's/\t/","/g;s/^/"/;s/$/"/;s/\n//g' > *output_file_name.csv*
Credits: Exporting table from Amazon RDS into a CSV file
This answer uses Python and a popular third party library, PyMySQL. I'm adding it because Python's csv library is powerful enough to correctly handle many different flavors of .csv and no other answers are using Python code to interact with the database.
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)
I encountered the same problem and Paul's Answer wasn't an option since it was Amazon RDS. Replacing the tab with the commas did not work as the data had embedded commas and tabs. I found that mycli, which is a drop-in alternative for the mysql-client, supports CSV output out of the box with the --csv flag:
mycli db_name --csv -e "select * from flowers" > flowers.csv
This is simple, and it works on anything without needing batch mode or output files:
select concat_ws(',',
concat('"', replace(field1, '"', '""'), '"'),
concat('"', replace(field2, '"', '""'), '"'),
concat('"', replace(field3, '"', '""'), '"'))
from your_table where etc;
Explanation:
Replace " with "" in each field --> replace(field1, '"', '""')
Surround each result in quotation marks --> concat('"', result1, '"')
Place a comma between each quoted result --> concat_ws(',', quoted1, quoted2, ...)
That's it!
Also, if you're performing the query on the Bash command line, I believe the tr command can be used to substitute the default tabs to arbitrary delimiters.
$ echo "SELECT * FROM Table123" | mysql Database456 | tr "\t" ,
You can have a MySQL table that uses the CSV engine.
Then you will have a file on your hard disk that will always be in a CSV format which you could just copy without processing it.
To expand on previous answers, the following one-liner exports a single table as a tab-separated file. It's suitable for automation, exporting the database every day or so.
mysql -B -D mydatabase -e 'select * from mytable'
Conveniently, we can use the same technique to list out MySQL's tables, and to describe the fields on a single table:
mysql -B -D mydatabase -e 'show tables'
mysql -B -D mydatabase -e 'desc users'
Field Type Null Key Default Extra
id int(11) NO PRI NULL auto_increment
email varchar(128) NO UNI NULL
lastName varchar(100) YES NULL
title varchar(128) YES UNI NULL
userName varchar(128) YES UNI NULL
firstName varchar(100) YES NULL
Here's what I do:
echo $QUERY | \
mysql -B $MYSQL_OPTS | \
perl -F"\t" -lane 'print join ",", map {s/"/""/g; /^[\d.]+$/ ? $_ : qq("$_")} #F ' | \
mail -s 'report' person#address
The Perl script (snipped from elsewhere) does a nice job of converting the tab spaced fields to CSV.
Building on user7610, here is the best way to do it. With mysql outfile there were 60 mins of file ownership and overwriting problems.
It's not cool, but it worked in 5 mins.
php csvdump.php localhost root password database tablename > whatever-you-like.csv
<?php
$server = $argv[1];
$user = $argv[2];
$password = $argv[3];
$db = $argv[4];
$table = $argv[5];
mysql_connect($server, $user, $password) or die(mysql_error());
mysql_select_db($db) or die(mysql_error());
// fetch the data
$rows = mysql_query('SELECT * FROM ' . $table);
$rows || die(mysql_error());
// create a file pointer connected to the output stream
$output = fopen('php://output', 'w');
// output the column headings
$fields = [];
for($i = 0; $i < mysql_num_fields($rows); $i++) {
$field_info = mysql_fetch_field($rows, $i);
$fields[] = $field_info->name;
}
fputcsv($output, $fields);
// loop over the rows, outputting them
while ($row = mysql_fetch_assoc($rows)) fputcsv($output, $row);
?>
Not exactly as a CSV format, but the tee command from the MySQL client can be used to save the output into a local file:
tee foobar.txt
SELECT foo FROM bar;
You can disable it using notee.
The problem with SELECT … INTO OUTFILE …; is that it requires permission to write files at the server.
In my case from table_name ..... before INTO OUTFILE ..... gives an error:
Unexpected ordering of clauses. (near "FROM" at position 10)
What works for me:
SELECT *
INTO OUTFILE '/Volumes/Development/sql/sql/enabled_contacts.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
FROM table_name
WHERE column_name = 'value'
What worked for me:
SELECT *
FROM students
WHERE foo = 'bar'
LIMIT 0,1200000
INTO OUTFILE './students-1200000.csv'
FIELDS TERMINATED BY ',' ESCAPED BY '"'
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
None of the solutions on this thread worked for my particular case. I had pretty JSON data inside one of the columns, which would get messed up in my CSV output. For those with a similar problem, try lines terminated by \r\n instead.
Also another problem for those trying to open the CSV with Microsoft Excel, keep in mind there is a limit of 32,767 characters that a single cell can hold, above that it overflows to the rows below. To identify which records in a column have the issue, use the query below. You can then truncate those records or handle them as you'd like.
SELECT id,name,CHAR_LENGTH(json_student_description) AS 'character length'
FROM students
WHERE CHAR_LENGTH(json_student_description)>32767;
Using the solution posted by Tim Harding, I created this Bash script to facilitate the process (root password is requested, but you can modify the script easily to ask for any other user):
#!/bin/bash
if [ "$1" == "" ];then
echo "Usage: $0 DATABASE TABLE [MYSQL EXTRA COMMANDS]"
exit
fi
DBNAME=$1
TABLE=$2
FNAME=$1.$2.csv
MCOMM=$3
echo "MySQL password: "
stty -echo
read PASS
stty echo
mysql -uroot -p$PASS $MCOMM $DBNAME -B -e "SELECT * FROM $TABLE;" | sed "s/'/\'/;s/\t/\",\"/g;s/^/\"/;s/$/\"/;s/\n//g" > $FNAME
It will create a file named: database.table.csv
If you have PHP set up on the server, you can use mysql2csv to export an (actually valid) CSV file for an arbitrary MySQL query. See my answer at MySQL - SELECT * INTO OUTFILE LOCAL ? for a little more context/info.
I tried to maintain the option names from mysql so it should be sufficient to provide the --file and --query options:
./mysql2csv --file="/tmp/result.csv" --query='SELECT 1 as foo, 2 as bar;' --user="username" --password="password"
"Install" 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
(Download content of the gist, check checksum and make it executable.)
The following produces tab-delimited and valid CSV output. Unlike most of the other answers, this technique correctly handles escaping of tabs, commas, quotes, and new lines without any stream filter like sed, AWK, or tr.
The example shows how to pipe a remote MySQL table directly into a local SQLite database using streams. This works without FILE permission or SELECT INTO OUTFILE permission. I have added new lines for readability.
mysql -B -C --raw -u 'username' --password='password' --host='hostname' 'databasename'
-e 'SELECT
CONCAT('\''"'\'',REPLACE(`id`,'\''"'\'', '\''""'\''),'\''"'\'') AS '\''id'\'',
CONCAT('\''"'\'',REPLACE(`value`,'\''"'\'', '\''""'\''),'\''"'\'') AS '\''value'\''
FROM sampledata'
2>/dev/null | sqlite3 -csv -separator $'\t' mydb.db '.import /dev/stdin mycsvtable'
The 2>/dev/null is needed to suppress the warning about the password on the command line.
If your data has NULLs, you can use the IFNULL() function in the query.
A simple solution in Python that writes a standard-format CSV file with headers and writes data as a stream (low memory use):
import csv
def export_table(connection, table_name, output_filename):
cursor = connection.cursor()
cursor.execute("SELECT * FROM " + table_name)
# thanks to https://gist.github.com/madan712/f27ac3b703a541abbcd63871a4a56636 for this hint
header = [descriptor[0] for descriptor in cursor.description]
with open(output_filename, 'w') as csvfile:
csv_writer = csv.writer(csvfile, dialect='excel')
csv_writer.writerow(header)
for row in cursor:
csv_writer.writerow(row)
You could use it like:
import mysql.connector as mysql
# (or https://github.com/PyMySQL/PyMySQL should work but I haven't tested it)
db = mysql.connect(
host="localhost",
user="USERNAME",
db="DATABASE_NAME",
port=9999)
for table_name in ['table1', 'table2']:
export_table(db, table_name, table_name + '.csv')
db.close()
For simplicity, this intentionally doesn't include some fancier stuff from another answer like using an environment variable for credentials, contextlib, etc. There is a subtlety mentioned there about line endings that I haven't evaluated.
Tiny Bash script for doing simple query to CSV dumps, inspired by Tim Harding's answer.
#!/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"
If you are getting an error of secure-file-priv then, also after shifting your destination file location inside the C:\ProgramData\MySQL\MySQL Server 8.0\Uploads and also after then the query -
SELECT * FROM attendance INTO OUTFILE 'C:\ProgramData\MySQL\MySQL Server 8.0\Uploads\FileName.csv' FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n';
is not working, you have to just change \(backsplash) from the query to / (forwardsplash)
And that works!!
Example:
SELECT * FROM attendance INTO OUTFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/FileName.csv' FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n';
Each time when you run the successful query, it will generate the new CSV file each time!
Cool, right?
The following Bash script works for me. It optionally also gets the schema for the requested tables.
#!/bin/bash
#
# Export MySQL data to CSV
#https://stackoverflow.com/questions/356578/how-to-output-mysql-query-results-in-csv-format
#
# ANSI colors
#http://www.csc.uvic.ca/~sae/seng265/fall04/tips/s265s047-tips/bash-using-colors.html
blue='\033[0;34m'
red='\033[0;31m'
green='\033[0;32m' # '\e[1;32m' is too bright for white bg.
endColor='\033[0m'
#
# A colored message
# params:
# 1: l_color - the color of the message
# 2: l_msg - the message to display
#
color_msg() {
local l_color="$1"
local l_msg="$2"
echo -e "${l_color}$l_msg${endColor}"
}
#
# Error
#
# Show the given error message on standard error and exit
#
# Parameters:
# 1: l_msg - the error message to display
#
error() {
local l_msg="$1"
# Use ANSI red for error
color_msg $red "Error:" 1>&2
color_msg $red "\t$l_msg" 1>&2
usage
}
#
# Display usage
#
usage() {
echo "usage: $0 [-h|--help]" 1>&2
echo " -o | --output csvdirectory" 1>&2
echo " -d | --database database" 1>&2
echo " -t | --tables tables" 1>&2
echo " -p | --password password" 1>&2
echo " -u | --user user" 1>&2
echo " -hs | --host host" 1>&2
echo " -gs | --get-schema" 1>&2
echo "" 1>&2
echo " output: output CSV directory to export MySQL data into" 1>&2
echo "" 1>&2
echo " user: MySQL user" 1>&2
echo " password: MySQL password" 1>&2
echo "" 1>&2
echo " database: target database" 1>&2
echo " tables: tables to export" 1>&2
echo " host: host of target database" 1>&2
echo "" 1>&2
echo " -h|--help: show help" 1>&2
exit 1
}
#
# show help
#
help() {
echo "$0 Help" 1>&2
echo "===========" 1>&2
echo "$0 exports a CSV file from a MySQL database optionally limiting to a list of tables" 1>&2
echo " example: $0 --database=cms --user=scott --password=tiger --tables=person --output person.csv" 1>&2
echo "" 1>&2
usage
}
domysql() {
mysql --host $host -u$user --password=$password $database
}
getcolumns() {
local l_table="$1"
echo "describe $l_table" | domysql | cut -f1 | grep -v "Field" | grep -v "Warning" | paste -sd "," - 2>/dev/null
}
host="localhost"
mysqlfiles="/var/lib/mysql-files/"
# Parse command line options
while true; do
#echo "option $1"
case "$1" in
# Options without arguments
-h|--help) usage;;
-d|--database) database="$2" ; shift ;;
-t|--tables) tables="$2" ; shift ;;
-o|--output) csvoutput="$2" ; shift ;;
-u|--user) user="$2" ; shift ;;
-hs|--host) host="$2" ; shift ;;
-p|--password) password="$2" ; shift ;;
-gs|--get-schema) option="getschema";;
(--) shift; break;;
(-*) echo "$0: error - unrecognized option $1" 1>&2; usage;;
(*) break;;
esac
shift
done
# Checks
if [ "$csvoutput" == "" ]
then
error "output CSV directory is not set"
fi
if [ "$database" == "" ]
then
error "MySQL database is not set"
fi
if [ "$user" == "" ]
then
error "MySQL user is not set"
fi
if [ "$password" == "" ]
then
error "MySQL password is not set"
fi
color_msg $blue "exporting tables of database $database"
if [ "$tables" = "" ]
then
tables=$(echo "show tables" | domysql)
fi
case $option in
getschema)
rm $csvoutput$database.schema
for table in $tables
do
color_msg $blue "getting schema for $table"
echo -n "$table:" >> $csvoutput$database.schema
getcolumns $table >> $csvoutput$database.schema
done
;;
*)
for table in $tables
do
color_msg $blue "exporting table $table"
cols=$(grep "$table:" $csvoutput$database.schema | cut -f2 -d:)
if [ "$cols" = "" ]
then
cols=$(getcolumns $table)
fi
ssh $host rm $mysqlfiles/$table.csv
cat <<EOF | mysql --host $host -u$user --password=$password $database
SELECT $cols FROM $table INTO OUTFILE '$mysqlfiles$table.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n';
EOF
scp $host:$mysqlfiles/$table.csv $csvoutput$table.csv.raw
(echo "$cols"; cat $csvoutput$table.csv.raw) > $csvoutput$table.csv
rm $csvoutput$table.csv.raw
done
;;
esac

ERROR 1059 (42000) at line 3: Identifier is too long

I am coming across the following error
ERROR 1059 (42000) at line 3: Identifier name '#o_acc,o_pos,o_aa1,o_aa2,rsid,acc,pos,aa1,aa2,prediction,pph2_prob,pph2_FPR,pph2_TPR'
here is my code:
#!/bin/sh
MYSQL_ARGS="some ARGS"
DB="$3"
DELIM=";"
CSV="$1"
TABLE="$2"
[ "$CSV" = "" -o "$TABLE" = "" ] && echo "Syntax: $0 csvfile tablename" && exit 1
FIELDS=$(head -1 "$CSV" | sed -e 's/'$DELIM'/` varchar(255),\n`/g' -e 's/\r//g')
FIELDS='`'"$FIELDS"'` varchar(255)'
#echo "$FIELDS" && exit
mysql $MYSQL_ARGS $DB -e "
DROP TABLE IF EXISTS $TABLE;
CREATE TABLE $TABLE ($FIELDS);
LOAD DATA INFILE '$(pwd)/$CSV' INTO TABLE $TABLE
FIELDS TERMINATED BY '$DELIM'
IGNORE 1 LINES
;
"
and a sample of my data file:
#o_acc,o_pos,o_aa1,o_aa2,rsid,acc,pos,aa1,aa2,prediction,pph2_prob,pph2_FPR,pph2_TPR
ENSG00000145888,455,H,N,?,P23415,455,H,N,probablydamaging,0.997,0.0167,0.409
ENSG00000145888,450,R,H,?,P23415,450,R,H,probablydamaging,1,0.00026,0.00018
ENSG00000145888,440,M,I,?,P23415,440,M,I,benign,0,1,1
ENSG00000145888,428,R,H,?,P23415,428,R,H,probablydamaging,1,0.00026,0.00018
ENSG00000145888,428,R,C,?,P23415,428,R,C,probablydamaging,1,0.00026,0.00018
ENSG00000145888,413,R,Q,?,P23415,413,R,Q,probablydamaging,0.993,0.0301,0.696
ENSG00000145888,412,M,L,?,P23415,412,M,L,benign,0.143,0.136,0.923
ENSG00000145888,406,S,C,?,P23415,406,S,C,possiblydamaging,0.658,0.0867,0.865
ENSG00000145888,402,P,L,?,P23415,402,P,L,benign,0,1,1
The error message looks like it is telling me I am trying to create a column called:
#o_acc,o_pos,o_aa1,o_aa2,rsid,acc,pos,aa1,aa2,prediction,pph2_prob,pph2_FPR,pph2_TPR
however you will see, I am trying to create 13 columns.
Can anyone spot anything wrong with either my data or code?
Try import sql using -f ignore errors
-f, --force Continue even if we get an SQL error.

Parameterizing file name in MYSQL LOAD DATA INFILE

Is there a way to dynamically specify a file name in the LOAD DATA INFILE? Can it be parameterized like for instance (syntax may be incorrect) LOAD DATA INFILE '$filename'?
A citation from MySQL documentation:
The LOAD DATA INFILE statement reads rows from a text file into a table at a very high speed. The file name must be given as a literal string.
That means that it can not be a parameter of a prepared statement. But no one forbids to make the string interpolation while the statement is just a string in your PHP code.
Unfortunately, this feature is not yet supported in MySQL and is currently listed as bug/feature request #39115 http://bugs.mysql.com/bug.php?id=39115
Or you can make a temporary copy of the file (BATCH example):
LOAD_DATA.bat
COPY %1 TempFileToLoad.csv
mysql --user=myuser --password=mypass MyDatabase < ScriptLoadMyDatabase.sql
DEL TempFileToLoad.csv
the SQL (for info) :
ScriptLoadMyDatabase.sql
load data infile 'TempFileToLoad.csv' IGNORE
into table tLoad
FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"'
lines terminated by '\r\n'
IGNORE 1 LINES
(#DateCrea, NomClient, PrenomClient, TypeMvt, #Montant, NumeroClient)
set DateCrea = str_to_date(#DateCrea, '%Y-%m-%d'), Montant = (round(#Montant / 1000)*2) ;
And finished to put a link to the BAT file in SendTo windows folder.
If you're asking if it can be used in a script; you can do some thing like this with php:
<?php
$mysqli = new mysqli("host", "user", "pwd", "db");
/* check connection */
if (mysqli_connect_errno()) {
printf("Connect failed: %s\n", mysqli_connect_error());
exit();
}
$sql = "CREATE TABLE number1 (id INT PRIMARY KEY auto_increment,data TEXT)";
if ($result = $mysqli->query($sql)) {
} else {
printf("<br>%s",$mysqli->error);
}
$host = $_SERVER['HTTP_HOST'];
$uri = rtrim(dirname($_SERVER['PHP_SELF']), '/\\');
$filename = "data.csv";
$sql = "LOAD DATA LOCAL INFILE '$host$uri$filename' INTO TABLE number1";
if ($result = $mysqli->query($sql)) {
} else {
printf("<br>%s",$mysqli->error);
}
// Close the DB connection
$mysqli->close();
exit;
%>
If the file is in the same folder as the script just use $filename a instead of $host$uri$filename. I put this together quick from a couple scripts I'm using, sorry if it doesn't work without debug, but it should be pretty close. It requires mysqli.

How can I output MySQL query results in CSV format?

Is there an easy way to run a MySQL query from the Linux command line and output the results in CSV format?
Here's what I'm doing now:
mysql -u uid -ppwd -D dbname << EOQ | sed -e 's/ /,/g' | tee list.csv
select id, concat("\"",name,"\"") as name
from students
EOQ
It gets messy when there are a lot of columns that need to be surrounded by quotes, or if there are quotes in the results that need to be escaped.
From Save MySQL query results into a text or CSV file:
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';
Note: That syntax may need to be reordered to
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';
in more recent versions of MySQL.
Using this command, columns names will not be exported.
Also note that /var/lib/mysql-files/orders.csv will be on the server that is running MySQL. The user that the MySQL process is running under must have permissions to write to the directory chosen, or the command will fail.
If you want to write output to your local machine from a remote server (especially a hosted or virtualize machine such as Heroku or Amazon RDS), this solution is not suitable.
mysql your_database --password=foo < my_requests.sql > out.tsv
This produces a tab-separated format. If you are certain that commas do not appear in any of the column data (and neither do tabs), you can use this pipe command to get a true CSV (thanks to user John Carter):
... .sql | sed 's/\t/,/g' > out.csv
mysql --batch, -B
Print results using tab as the column separator, with each row on a
new line. With this option, mysql does not use the history file.
Batch mode results in non-tabular output format and escaping of
special characters. Escaping may be disabled by using raw mode; see
the description for the --raw option.
This will give you a tab-separated file. Since commas (or strings containing comma) are not escaped, it is not straightforward to change the delimiter to comma.
Here's a fairly gnarly way of doing it[1]:
mysql --user=wibble --password mydatabasename -B -e "select * from vehicle_categories;" | sed "s/'/\'/;s/\t/\",\"/g;s/^/\"/;s/$/\"/;s/\n//g" > vehicle_categories.csv
It works pretty well. Once again, though, a regular expression proves write-only.
Regex Explanation:
s/// means substitute what's between the first // with what's between the second //
the "g" at the end is a modifier that means "all instance, not just first"
^ (in this context) means beginning of line
$ (in this context) means end of line
So, putting it all together:
s/'/\'/ Replace ' with \'
s/\t/\",\"/g Replace all \t (tab) with ","
s/^/\"/ at the beginning of the line place a "
s/$/\"/ At the end of the line, place a "
s/\n//g Replace all \n (newline) with nothing
[1] I found it somewhere and can't take any credit.
Pipe it through 'tr' (Unix/Cygwin only):
mysql <database> -e "<query here>" | tr '\t' ',' > data.csv
N.B.: This handles neither embedded commas, nor embedded tabs.
This saved me a couple of times. It is fast and it works!
--batch
Print results using tab as the column separator, with each row on a
new line.
--raw disables character escaping (\n, \t, \0, and \)
Example:
mysql -udemo_user -p -h127.0.0.1 --port=3306 \
--default-character-set=utf8mb4 --database=demo_database \
--batch --raw < /tmp/demo_sql_query.sql > /tmp/demo_csv_export.tsv
For completeness you could convert to CSV (but be careful because tabs could be inside field values - e.g., text fields)
tr '\t' ',' < file.tsv > file.csv
The OUTFILE solution given by Paul Tomblin causes a file to be written on the MySQL server itself, so this will work only if you have FILE access, as well as login access or other means for retrieving the file from that box.
If you don't have such access, and tab-delimited output is a reasonable substitute for CSV (e.g., if your end goal is to import to Excel), then serbaut's solution (using mysql --batch and optionally --raw) is the way to go.
MySQL Workbench can export recordsets to CSV, and it seems to handle commas in fields very well. The CSV opens up in OpenOffice Calc fine.
All of the solutions here to date, except the MySQL Workbench one, are incorrect and quite possibly unsafe (i.e., security issues) for at least some possible content in the MySQL database.
MySQL Workbench (and similarly phpMyAdmin) provide a formally correct solution, but they are designed for downloading the output to a user's location. They're not so useful for things like automating data export.
It is not possible to generate reliably correct CSV content from the output of mysql -B -e 'SELECT ...' because that cannot encode carriage returns and white space in fields. The '-s' flag to mysql does do backslash escaping, and might lead to a correct solution. However, using a scripting language (one with decent internal data structures that is, not Bash), and libraries where the encoding issues have already been carefully worked out is far safer.
I thought about writing a script for this, but as soon as I thought about what I'd call it, it occurred to me to search for preexisting work by the same name. While I haven't gone over it thoroughly, mysql2csv looks promising. Depending on your application, the YAML approach to specifying the SQL commands might or might not appeal though. I'm also not thrilled with the requirement for a more recent version of Ruby than comes as standard with my Ubuntu 12.04 (Precise Pangolin) laptop or Debian 6.0 (Squeeze) servers. Yes, I know I could use RVM, but I'd rather not maintain that for such a simple purpose.
Use:
mysql your_database -p < my_requests.sql | awk '{print $1","$2}' > out.csv
Many of the answers on this page are weak, because they don't handle the general case of what can occur in CSV format. E.g., commas and quotes embedded in fields and other conditions that always come up eventually. We need a general solution that works for all valid CSV input data.
Here's a simple and strong solution in Python:
#!/usr/bin/env python
import csv
import sys
tab_in = csv.reader(sys.stdin, dialect=csv.excel_tab)
comma_out = csv.writer(sys.stdout, dialect=csv.excel)
for row in tab_in:
comma_out.writerow(row)
Name that file tab2csv, put it on your path, give it execute permissions, then use it like this:
mysql OTHER_OPTIONS --batch --execute='select * from whatever;' | tab2csv > outfile.csv
The Python CSV-handling functions cover corner cases for CSV input format(s).
This could be improved to handle very large files via a streaming approach.
From your command line, you can do this:
mysql -h *hostname* -P *port number* --database=*database_name* -u *username* -p -e *your SQL query* | sed 's/\t/","/g;s/^/"/;s/$/"/;s/\n//g' > *output_file_name.csv*
Credits: Exporting table from Amazon RDS into a CSV file
This answer uses Python and a popular third party library, PyMySQL. I'm adding it because Python's csv library is powerful enough to correctly handle many different flavors of .csv and no other answers are using Python code to interact with the database.
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)
I encountered the same problem and Paul's Answer wasn't an option since it was Amazon RDS. Replacing the tab with the commas did not work as the data had embedded commas and tabs. I found that mycli, which is a drop-in alternative for the mysql-client, supports CSV output out of the box with the --csv flag:
mycli db_name --csv -e "select * from flowers" > flowers.csv
This is simple, and it works on anything without needing batch mode or output files:
select concat_ws(',',
concat('"', replace(field1, '"', '""'), '"'),
concat('"', replace(field2, '"', '""'), '"'),
concat('"', replace(field3, '"', '""'), '"'))
from your_table where etc;
Explanation:
Replace " with "" in each field --> replace(field1, '"', '""')
Surround each result in quotation marks --> concat('"', result1, '"')
Place a comma between each quoted result --> concat_ws(',', quoted1, quoted2, ...)
That's it!
Also, if you're performing the query on the Bash command line, I believe the tr command can be used to substitute the default tabs to arbitrary delimiters.
$ echo "SELECT * FROM Table123" | mysql Database456 | tr "\t" ,
You can have a MySQL table that uses the CSV engine.
Then you will have a file on your hard disk that will always be in a CSV format which you could just copy without processing it.
To expand on previous answers, the following one-liner exports a single table as a tab-separated file. It's suitable for automation, exporting the database every day or so.
mysql -B -D mydatabase -e 'select * from mytable'
Conveniently, we can use the same technique to list out MySQL's tables, and to describe the fields on a single table:
mysql -B -D mydatabase -e 'show tables'
mysql -B -D mydatabase -e 'desc users'
Field Type Null Key Default Extra
id int(11) NO PRI NULL auto_increment
email varchar(128) NO UNI NULL
lastName varchar(100) YES NULL
title varchar(128) YES UNI NULL
userName varchar(128) YES UNI NULL
firstName varchar(100) YES NULL
Here's what I do:
echo $QUERY | \
mysql -B $MYSQL_OPTS | \
perl -F"\t" -lane 'print join ",", map {s/"/""/g; /^[\d.]+$/ ? $_ : qq("$_")} #F ' | \
mail -s 'report' person#address
The Perl script (snipped from elsewhere) does a nice job of converting the tab spaced fields to CSV.
Building on user7610, here is the best way to do it. With mysql outfile there were 60 mins of file ownership and overwriting problems.
It's not cool, but it worked in 5 mins.
php csvdump.php localhost root password database tablename > whatever-you-like.csv
<?php
$server = $argv[1];
$user = $argv[2];
$password = $argv[3];
$db = $argv[4];
$table = $argv[5];
mysql_connect($server, $user, $password) or die(mysql_error());
mysql_select_db($db) or die(mysql_error());
// fetch the data
$rows = mysql_query('SELECT * FROM ' . $table);
$rows || die(mysql_error());
// create a file pointer connected to the output stream
$output = fopen('php://output', 'w');
// output the column headings
$fields = [];
for($i = 0; $i < mysql_num_fields($rows); $i++) {
$field_info = mysql_fetch_field($rows, $i);
$fields[] = $field_info->name;
}
fputcsv($output, $fields);
// loop over the rows, outputting them
while ($row = mysql_fetch_assoc($rows)) fputcsv($output, $row);
?>
Not exactly as a CSV format, but the tee command from the MySQL client can be used to save the output into a local file:
tee foobar.txt
SELECT foo FROM bar;
You can disable it using notee.
The problem with SELECT … INTO OUTFILE …; is that it requires permission to write files at the server.
In my case from table_name ..... before INTO OUTFILE ..... gives an error:
Unexpected ordering of clauses. (near "FROM" at position 10)
What works for me:
SELECT *
INTO OUTFILE '/Volumes/Development/sql/sql/enabled_contacts.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
FROM table_name
WHERE column_name = 'value'
What worked for me:
SELECT *
FROM students
WHERE foo = 'bar'
LIMIT 0,1200000
INTO OUTFILE './students-1200000.csv'
FIELDS TERMINATED BY ',' ESCAPED BY '"'
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
None of the solutions on this thread worked for my particular case. I had pretty JSON data inside one of the columns, which would get messed up in my CSV output. For those with a similar problem, try lines terminated by \r\n instead.
Also another problem for those trying to open the CSV with Microsoft Excel, keep in mind there is a limit of 32,767 characters that a single cell can hold, above that it overflows to the rows below. To identify which records in a column have the issue, use the query below. You can then truncate those records or handle them as you'd like.
SELECT id,name,CHAR_LENGTH(json_student_description) AS 'character length'
FROM students
WHERE CHAR_LENGTH(json_student_description)>32767;
Using the solution posted by Tim Harding, I created this Bash script to facilitate the process (root password is requested, but you can modify the script easily to ask for any other user):
#!/bin/bash
if [ "$1" == "" ];then
echo "Usage: $0 DATABASE TABLE [MYSQL EXTRA COMMANDS]"
exit
fi
DBNAME=$1
TABLE=$2
FNAME=$1.$2.csv
MCOMM=$3
echo "MySQL password: "
stty -echo
read PASS
stty echo
mysql -uroot -p$PASS $MCOMM $DBNAME -B -e "SELECT * FROM $TABLE;" | sed "s/'/\'/;s/\t/\",\"/g;s/^/\"/;s/$/\"/;s/\n//g" > $FNAME
It will create a file named: database.table.csv
If you have PHP set up on the server, you can use mysql2csv to export an (actually valid) CSV file for an arbitrary MySQL query. See my answer at MySQL - SELECT * INTO OUTFILE LOCAL ? for a little more context/info.
I tried to maintain the option names from mysql so it should be sufficient to provide the --file and --query options:
./mysql2csv --file="/tmp/result.csv" --query='SELECT 1 as foo, 2 as bar;' --user="username" --password="password"
"Install" 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
(Download content of the gist, check checksum and make it executable.)
The following produces tab-delimited and valid CSV output. Unlike most of the other answers, this technique correctly handles escaping of tabs, commas, quotes, and new lines without any stream filter like sed, AWK, or tr.
The example shows how to pipe a remote MySQL table directly into a local SQLite database using streams. This works without FILE permission or SELECT INTO OUTFILE permission. I have added new lines for readability.
mysql -B -C --raw -u 'username' --password='password' --host='hostname' 'databasename'
-e 'SELECT
CONCAT('\''"'\'',REPLACE(`id`,'\''"'\'', '\''""'\''),'\''"'\'') AS '\''id'\'',
CONCAT('\''"'\'',REPLACE(`value`,'\''"'\'', '\''""'\''),'\''"'\'') AS '\''value'\''
FROM sampledata'
2>/dev/null | sqlite3 -csv -separator $'\t' mydb.db '.import /dev/stdin mycsvtable'
The 2>/dev/null is needed to suppress the warning about the password on the command line.
If your data has NULLs, you can use the IFNULL() function in the query.
A simple solution in Python that writes a standard-format CSV file with headers and writes data as a stream (low memory use):
import csv
def export_table(connection, table_name, output_filename):
cursor = connection.cursor()
cursor.execute("SELECT * FROM " + table_name)
# thanks to https://gist.github.com/madan712/f27ac3b703a541abbcd63871a4a56636 for this hint
header = [descriptor[0] for descriptor in cursor.description]
with open(output_filename, 'w') as csvfile:
csv_writer = csv.writer(csvfile, dialect='excel')
csv_writer.writerow(header)
for row in cursor:
csv_writer.writerow(row)
You could use it like:
import mysql.connector as mysql
# (or https://github.com/PyMySQL/PyMySQL should work but I haven't tested it)
db = mysql.connect(
host="localhost",
user="USERNAME",
db="DATABASE_NAME",
port=9999)
for table_name in ['table1', 'table2']:
export_table(db, table_name, table_name + '.csv')
db.close()
For simplicity, this intentionally doesn't include some fancier stuff from another answer like using an environment variable for credentials, contextlib, etc. There is a subtlety mentioned there about line endings that I haven't evaluated.
Tiny Bash script for doing simple query to CSV dumps, inspired by Tim Harding's answer.
#!/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"
If you are getting an error of secure-file-priv then, also after shifting your destination file location inside the C:\ProgramData\MySQL\MySQL Server 8.0\Uploads and also after then the query -
SELECT * FROM attendance INTO OUTFILE 'C:\ProgramData\MySQL\MySQL Server 8.0\Uploads\FileName.csv' FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n';
is not working, you have to just change \(backsplash) from the query to / (forwardsplash)
And that works!!
Example:
SELECT * FROM attendance INTO OUTFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/FileName.csv' FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n';
Each time when you run the successful query, it will generate the new CSV file each time!
Cool, right?
The following Bash script works for me. It optionally also gets the schema for the requested tables.
#!/bin/bash
#
# Export MySQL data to CSV
#https://stackoverflow.com/questions/356578/how-to-output-mysql-query-results-in-csv-format
#
# ANSI colors
#http://www.csc.uvic.ca/~sae/seng265/fall04/tips/s265s047-tips/bash-using-colors.html
blue='\033[0;34m'
red='\033[0;31m'
green='\033[0;32m' # '\e[1;32m' is too bright for white bg.
endColor='\033[0m'
#
# A colored message
# params:
# 1: l_color - the color of the message
# 2: l_msg - the message to display
#
color_msg() {
local l_color="$1"
local l_msg="$2"
echo -e "${l_color}$l_msg${endColor}"
}
#
# Error
#
# Show the given error message on standard error and exit
#
# Parameters:
# 1: l_msg - the error message to display
#
error() {
local l_msg="$1"
# Use ANSI red for error
color_msg $red "Error:" 1>&2
color_msg $red "\t$l_msg" 1>&2
usage
}
#
# Display usage
#
usage() {
echo "usage: $0 [-h|--help]" 1>&2
echo " -o | --output csvdirectory" 1>&2
echo " -d | --database database" 1>&2
echo " -t | --tables tables" 1>&2
echo " -p | --password password" 1>&2
echo " -u | --user user" 1>&2
echo " -hs | --host host" 1>&2
echo " -gs | --get-schema" 1>&2
echo "" 1>&2
echo " output: output CSV directory to export MySQL data into" 1>&2
echo "" 1>&2
echo " user: MySQL user" 1>&2
echo " password: MySQL password" 1>&2
echo "" 1>&2
echo " database: target database" 1>&2
echo " tables: tables to export" 1>&2
echo " host: host of target database" 1>&2
echo "" 1>&2
echo " -h|--help: show help" 1>&2
exit 1
}
#
# show help
#
help() {
echo "$0 Help" 1>&2
echo "===========" 1>&2
echo "$0 exports a CSV file from a MySQL database optionally limiting to a list of tables" 1>&2
echo " example: $0 --database=cms --user=scott --password=tiger --tables=person --output person.csv" 1>&2
echo "" 1>&2
usage
}
domysql() {
mysql --host $host -u$user --password=$password $database
}
getcolumns() {
local l_table="$1"
echo "describe $l_table" | domysql | cut -f1 | grep -v "Field" | grep -v "Warning" | paste -sd "," - 2>/dev/null
}
host="localhost"
mysqlfiles="/var/lib/mysql-files/"
# Parse command line options
while true; do
#echo "option $1"
case "$1" in
# Options without arguments
-h|--help) usage;;
-d|--database) database="$2" ; shift ;;
-t|--tables) tables="$2" ; shift ;;
-o|--output) csvoutput="$2" ; shift ;;
-u|--user) user="$2" ; shift ;;
-hs|--host) host="$2" ; shift ;;
-p|--password) password="$2" ; shift ;;
-gs|--get-schema) option="getschema";;
(--) shift; break;;
(-*) echo "$0: error - unrecognized option $1" 1>&2; usage;;
(*) break;;
esac
shift
done
# Checks
if [ "$csvoutput" == "" ]
then
error "output CSV directory is not set"
fi
if [ "$database" == "" ]
then
error "MySQL database is not set"
fi
if [ "$user" == "" ]
then
error "MySQL user is not set"
fi
if [ "$password" == "" ]
then
error "MySQL password is not set"
fi
color_msg $blue "exporting tables of database $database"
if [ "$tables" = "" ]
then
tables=$(echo "show tables" | domysql)
fi
case $option in
getschema)
rm $csvoutput$database.schema
for table in $tables
do
color_msg $blue "getting schema for $table"
echo -n "$table:" >> $csvoutput$database.schema
getcolumns $table >> $csvoutput$database.schema
done
;;
*)
for table in $tables
do
color_msg $blue "exporting table $table"
cols=$(grep "$table:" $csvoutput$database.schema | cut -f2 -d:)
if [ "$cols" = "" ]
then
cols=$(getcolumns $table)
fi
ssh $host rm $mysqlfiles/$table.csv
cat <<EOF | mysql --host $host -u$user --password=$password $database
SELECT $cols FROM $table INTO OUTFILE '$mysqlfiles$table.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n';
EOF
scp $host:$mysqlfiles/$table.csv $csvoutput$table.csv.raw
(echo "$cols"; cat $csvoutput$table.csv.raw) > $csvoutput$table.csv
rm $csvoutput$table.csv.raw
done
;;
esac