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I have below output line , from this line I want to create CSV file. In CSV
it should print below line as first column and in second column I want to print the string before second delemeter ":".I am using below script but It is separating data wherever "," is present , and I want to print that whole line in first column and the string after second delimiter ":" in second column .Please help me to sort data in proper format
output line :/home/nagios/NaCl/files/chk_raid.pl:token=$$value=undef;next};my($lhys,$lytrn,$ccdethe
shell script : input="out.txt"
while IFS= read -r LINES
do
#echo "$LINES"
if [[ $LINES = /* ]]
then
filename=echo $LINES | cut -d ":" -f1
echo "$LINES,$filename" >> out.csv
fi
done < "$input"
I don't think I understand your question correctly.
You currently have this output
:/home/nagios/NaCl/files/chk_raid.pl:token=$$value=undef;next};my($lhys,$lytrn,$ccdethe
And you would like to have this kind of CSV output
2
3
/home/nagios/NaCl/files/chk_raid.pl:token=13704value=undef;next};my($lhys,$lytrn,$ccdethe
token=13704value=undef;next};my($lhys,$lytrn,$ccdethe
If that's what you want, you can use Miller like this
echo ":/home/nagios/NaCl/files/chk_raid.pl:token=$$value=undef;next};my(\$lhys,\$lytrn,\$ccdethe" | mlr --n2c --ifs ":" cut -x -f 1 then put '$2=$2.":".$3'
and you will have this two columns CSV
2,3
"/home/nagios/NaCl/files/chk_raid.pl:token=13704value=undef;next};my($lhys,$lytrn,$ccdethe","token=13704value=undef;next};my($lhys,$lytrn,$ccdethe"
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
I have a directory with 2.5 million small JSON files in it. It's 104gb on disk. They're multi-line files.
I would like to create a set of JSON arrays from the files so that I can import them using mongoimport in a reasonable amount of time. The files can be no bigger than 16mb, but I'd be happy even if I managed to get them in sets of ten.
So far, I can use this to do them one at a time at about 1000/minute:
for i in *.json; do mongoimport --writeConcern 0 --db mydb --collection all --quiet --file $i; done
I think I can use "jq" to do this, but I have no idea how to make the bash loop pass 10 files at a time to jq.
Note that using bash find results in an error as there are too many files.
With jq you can use --slurp to create arrays, and -c to make multiline json single line. However, I can't see how to combine the two into a single command.
Please help with both parts of the problem if possible.
Here's one approach. To illustrate, I've used awk as it can read the list of files in small batches and because it has the ability to execute jq and mongoimport. You will probably need to make some adjustments to make the whole thing more robust, to test for errors, and so on.
The idea is either to generate a script that can be reviewed and then executed, or to use awk's system() command to execute the commands directly. First, let's generate the script:
ls *.json | awk -v group=10 -v tmpfile=json.tmp '
function out() {
print "jq -s . " files " > " tmpfile;
print "mongoimport --writeConcern 0 --db mydb --collection all --quiet --file " tmpfile;
print "rm " tmpfile;
files="";
}
BEGIN {n=1; files="";
print "test -r " tmpfile " && rm " tmpfile;
}
n % group == 0 {
out();
}
{ files = files " \""$0 "\"";
n++;
}
END { if (files) {out();}}
'
Once you've verified this works, you can either execute the generated script, or change the "print ..." lines to use "system(....)"
Using jq to generate the script
Here's a jq-only approach for generating the script.
Since the number of files is very large, the following uses features that were only introduced in jq 1.5, so its memory usage is similar to the awk script above:
def read(n):
# state: [answer, hold]
foreach (inputs, null) as $i
([null, null];
if $i == null then .[0] = .[1]
elif .[1]|length == n then [.[1],[$i]]
else [null, .[1] + [$i]]
end;
.[0] | select(.) );
"test -r json.tmp && rm json.tmp",
(read($group|tonumber)
| map("\"\(.)\"")
| join(" ")
| ("jq -s . \(.) > json.tmp", mongo("json.tmp"), "rm json.tmp") )
Invocation:
ls *.json | jq -nRr --arg group 10 -f generate.jq
Here is what I came up with. It seems to work and is importing at roughly 80 a second into an external hard drive.
#!/bin/bash
files=(*.json)
for((I=0;I<${#files[*]};I+=500)); do jq -c '.' ${files[#]:I:500} | mongoimport --writeConcern 0 --numInsertionWorkers 16 --db mydb --collection all --quiet;echo $I; done
However, some are failing. I've imported 105k files but only 98547 appeared in the mongo collection. I think it's because some documents are > 16mb.
This is a second part of Read from file into variable - Bash Script
I have a bash script that reads strings in a file parses and assigns it to a variable. The file looks like this (file.txt):
database1 table1
database1 table4
database2
database3 table2
Using awk in the script:
s=$(awk '{$1=$1}1' OFS='.' ORS='|' file.txt)
LIST="${s%|}"
echo "$LIST"
database1.table1|database1.table4|database2|database3.table2
But I need to add some wildcards at the end of each substring. I need this result:
database1.table1.*|database1.table4.*|database2*.*|database3.table2.*
The conditions are: if we read database2 the output should be database2*.* and if we read a database and a table the output should be database1.table1.*
Use this awk with ORS='.*|':
s=$(awk '$0=="database2"{$0=$0 "*.*";print;next} {$2=$2 ".*"}1' OFS='.' ORS='|' file.txt)
LIST="${s%|}"
echo "$LIST"
database1.table1.*|database1.table4.*|database2*.*|database3.table2.*
Assuming the (slightly odd) regex is correct the following awk script works for me on your example input.
BEGIN {OFS="."; ORS="|"}
!$2 {$1=$1"*"}
{$(NF+1)="*"}
1
Set OFS and ORS.
If we do not have a second field add a * to our first field.
Add a * as a final field.
Print the line.
Run as awk -f script.awk inputfile where the above script is in the script.awk (or whatever) file.
I'd do it like this.
script.sh containing the following code:
#!/bin/bash
while IFS='' read -r line ;do
database=$(awk '{print $1}' <<< $line)
table=$(awk '{print $2}' <<< $line)
if [ "${table}" == '' ] ;then
list=(${list}\|${database}\*\.\*)
else
list=(${list}\|${database}\.${table}\.\*)
fi
done <file.txt
list=$(cut -c 2- <<< ${list})
echo ${list}
exit 0
file.txt containing the following data:
database1 table1
database1 table4
database2
database3 table2
Script output is the following:
database1.table1.*|database1.table4.*|database2*.*|database3.table2.*
Tested in BASH version:
GNU bash, version 5.0.17(1)-release (x86_64-pc-linux-gnu)
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