I would like to include a user variable in the MySQL `LOAD DATA LOCAL INFILE' file path. Our small team often accesses raw data files from Dropbox, so everyone has to find/replace the user name in the path definitions.
I was expecting the following to work but keep getting syntax errors:
SET #USER := 'user';
SET sql_mode='PIPES_AS_CONCAT';
LOAD DATA LOCAL
INFILE '/Users/' || #USER || '/Dropbox/Data/data.csv'
Also fails with CONCAT(). Any ideas? Thanks!
Similar questions asked here: Load data Infile #variable into infile error but without accepted answer.
A citation from MySQL documentation:
The file name must be given as a literal string. On Windows, specify backslashes in path names as forward slashes or doubled backslashes. The character_set_filesystem system variable controls the interpretation of the file name.
That means that it can not be a parameter of a prepared statement, stored procedure, or anything "server-side". The string/path evaluation must be done client side.
Related
I am learcing SQL and am trying to load a .csv file into it with "load infile" etc...
However I am getting the error, "The MySQL server is running with the --secure-file-priv so it cannot execute...".
I checked SHOW VARIABLES LIKE 'secure_file_priv' and it showed that the variable only allows loading data from C:\ProgramData\MySQL\MySQL Server 5.7\Uploads\
However after moving my data to that folder the same error keeps coming up. Can anybody help? Thanks. Andreas
I had the same problem when loading csv-files. As in https://dev.mysql.com/doc/refman/5.7/en/server-system-variables.html#sysvar_secure_file_priv described, you can only read and write in the path in the variable secure-file-priv.
Therefore you have to include the full path in the query. Since you did not post a concrete query, I can only guess that you tried something like LOAD DATA infile 'temp_0.csv' INTO TABLE series_data_in;. It should work with something like LOAD DATA infile '/var/lib/mysql-files/temp_0.csv' INTO TABLE series_data_in; (or in your case LOAD DATA infile 'C:/ProgramData/MySQL/MySQL\ Server\ 5.7/Uploads/temp_0.csv' INTO TABLE series_data_in ; - be aware of correctly escaped spaces).
I dont think it is possible but there is no harm to ask.
I have this sql file :
LOAD DATA INFILE 'myfile.csv'
INTO TABLE TCONTACTN4DS
FIELDS TERMINATED BY ";"
LINES TERMINATED BY "\r\n"
if there is no path in the INFILE option, it goest to the data/name_of_the_DB folder to get the file.
I could put any path in the infile but let's assume that I dont know the path that will be used and I dont want those scripts to be changed.
Can I declare (dont know where exactly) a global variable that could be changed to describe the path ? How would I use it if it is possible ?
The mysql documentation on load data infile is very explicit about this, so no, you cannot do this:
The server uses the following rules to locate the file:
If the file name is an absolute path name, the server uses it as given.
If the file name is a relative path name with one or more leading components, the server searches for the file relative to the server's
data directory.
If a file name with no leading components is given, the server looks for the file in the database directory of the default database.
Since load data cannot be used in stored routines either, you cannot even have a workaround for this limitation.
I am trying to load data into a table of my MySQL database, and getting this error.
LOAD DATA LOCAL INFILE 'C:\Users\Myself\Desktop\Blah Blah\LOAD DATA\week.txt'
INTO TABLE week;
Reference: this
The path is hundred percent correct, I copied it by pressing shift and clicking "copy path as" and checked it many times. So any tips on this will be much appreciated.
.
My research: Seeing this answer, I tried by changing C:\Users to C:\\Users. It did not work for me.
Secondly, is there a way to use some kind of a relative path (rather than an absolute path) here?
I spent 2 days on this and finally got my mistake, Just changing backslashes by forward ones, as one contributor previously said. And finally worked for me.
so was:
LOAD DATA LOCAL INFILE 'C:/ProgramData/MySQL/MySQL Server 5.7/Data/menagerie/pet.txt' INTO TABLE pet;
I just can say thanks a lot.
p.s. don't waste time on ytb...
I don't know what version of MySQL you are using but a quick Google search found possible answers to both your questions. Below are excerpts from the MySQL 5.1 Reference Manual:
The file name must be given as a literal string. On Windows, specify
backslashes in path names as forward slashes or doubled backslashes
The LOCAL keyword affects where the file is expected to be found:
If LOCAL is specified, the file is read by the client program on the
client host and sent to the server. The file can be given as a full
path name to specify its exact location. If given as a relative path
name, the name is interpreted relative to the directory in which the
client program was started.
Regards.
If using MySQL Workbench on a local Windows PC to connect to a remote MySQL server,
Add the "LOCAL" keyword
Add double backslashes "\\" to your folder path
If text file's first row has column names add "IGNORE 1 LINES".
LOAD DATA LOCAL INFILE 'C:\\MyTabDelimited.txt'
INTO TABLE my_table IGNORE 1 LINES;
Simply replace backslash with slash in the path.
This works for me (MySQL Workbench 6.3 on Win 10):
LOAD DATA LOCAL INFILE 'C:/Users/Myself/Desktop/Blah Blah/LOAD DATA/week.txt'
INTO TABLE week;
Ref. https://dev.mysql.com/doc/refman/5.5/en/loading-tables.html
One more reason for this type of error is another languge in the path.
You might have almost the entire path in English, but the username might be auto-filled in another language.
Try removing the word LOCAL from your query.
Try moving the week.txt file to the desktop
then execute in a terminal window:
LOAD DATA LOCAL INFILE 'C:\Users\Myself\Desktop\week.txt'
INTO TABLE week;
Instead of using double backslash That slash is also worked for me too.
I resolve this problem by replacing the path
Replace format "C:\Users\Myself\Desktop\week.txt"
With this different format "C:/Users/Myself/Desktop/week.txt"
My computer didnt recognize the ( \ ) symbols.
I'm using this syntax to insert 50 records into a mySQL table from within a php script:
$sql = "LOAD DATA INFILE '/home/myusername/timeshts/hmo/tiertwo/myBuilders/BuilderTwo/sql-cron-files/overtime-item.sql' INTO TABLE `ot-item` CHARACTER SET 'utf8' FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n'";
$result = mysql_query($sql,$conn);
if($result) { echo "Load data Done!!!"; }
I'm mainly used to Windows paths and locations, this is Linux and i think its a path issue - i'm using an absolute server path since im not sure where the 'data directory or database directory is as advised in the mySQL documentation. I suppose i haven't got access to either of these directories on a shared host - so absolute is my best bet. Is there something i'm missing in the syntax that i just cant see?? I wrote the script so i know that lines are terminated by a new line character and columns are separated with a single commma char.
Just a guess, but maybe you are missing a / at the beginning of the path.
You need file privilege .
Contact your DBA to execute below command
grant file on . to 'usr'#'%';
I'm trying to migrating some MySQL tables to Amazon Redshift, but met some problems.
The steps are simple:
1. Dump the MySQL table to a csv file
2. Upload the csv file to S3
3. Copy the data file to RedShift
Error occurs in step 3:
The SQL command is:
copy TABLE_A from 's3://ciphor/TABLE_A.csv' CREDENTIALS
'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' delimiter ',' csv;
The error info:
An error occurred when executing the SQL command: copy TABLE_A from
's3://ciphor/TABLE_A.csv' CREDENTIALS
'aws_access_key_id=xxxx;aws_secret_access_key=xxxx ERROR: COPY CSV is
not supported [SQL State=0A000] Execution time: 0.53s 1 statement(s)
failed.
I don't know if there's any limitations on the format of the csv file, say the delimiters and quotes, I cannot find it in documents.
Any one can help?
The problem is finally resolved by using:
copy TABLE_A from 's3://ciphor/TABLE_A.csv' CREDENTIALS
'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' delimiter ','
removequotes;
More information can be found here http://docs.aws.amazon.com/redshift/latest/dg/r_COPY.html
Now Amazon Redshift supports CSV option for COPY command. It's better to use this option to import CSV formatted data correctly. The format is shown bellow.
COPY [table-name] FROM 's3://[bucket-name]/[file-path or prefix]'
CREDENTIALS 'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' CSV;
The default delimiter is ( , ) and the default quotes is ( " ). Also you can import TSV formatted data with CSV and DELIMITER option like this.
COPY [table-name] FROM 's3://[bucket-name]/[file-path or prefix]'
CREDENTIALS 'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' CSV DELIMITER '\t';
There are some disadvantages to use the old way(DELIMITER and REMOVEQUOTES) that REMOVEQUOTES does not support to have a new line or a delimiter character within an enclosed filed. If the data can include this kind of characters, you should use CSV option.
See the following link for the details.
http://docs.aws.amazon.com/redshift/latest/dg/r_COPY.html
If you want to save your self some code/ you have a very basic use case you can use Amazon Data Pipeline.
it stats a spot instance and perform the transformation within amazon network and it's really intuitive tool (but very simple so you can't do complex things with it)
You can try with this
copy TABLE_A from 's3://ciphor/TABLE_A.csv' CREDENTIALS 'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' csv;
CSV itself means comma separated values, no need to provide delimiter with this. Please refer link.
[http://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-data-format.html#copy-format]
I always this code:
COPY clinical_survey
FROM 's3://milad-test/clinical_survey.csv'
iam_role 'arn:aws:iam::123456789123:role/miladS3xxx'
CSV
IGNOREHEADER 1
;
Description:
1- COPY the name of your file store in S3
2- FROM address of file
3- iam_role is a substitution for CREDENTIAL. Note that, iam_role should be defined in iam management menu at your console, and then in trust menu should be assigned to the user as well (That is the hardest part!)
4- CSV uses comma delimiter
5- IGNORHEADER 1 is a must! Otherwise it will throw an error. (skip one row of my CSV and consider it as a header)
Since the resolution has already been provided, I'll not repeat the obvious.
However, in case you receive some more error which you're not able to figure out, simply execute on your workbench while you're connected to any of the Redshift accounts:
select * from stl_load_errors [where ...];
stl_load_errors contains all the Amazon RS load errors in historical fashion where a normal user can view details corresponding to his / her own account but a superuser can have all the access.
The details are captured elaborately at :
Amazon STL Load Errors Documentation
Little late to comment but it can be useful:-
You can use an open source project to copy tables directly from mysql to redshift - sqlshift.
It only requires spark and if you have yarn then it can also be used.
Benefits:- It will automatically decides distkey and interleaved sortkey using primary key.
It looks like you are trying to load local file into REDSHIFT table.
CSV file has to be on S3 for COPY command to work.
If you can extract data from table to CSV file you have one more scripting option. You can use Python/boto/psycopg2 combo to script your CSV load to Amazon Redshift.
In my MySQL_To_Redshift_Loader I do the following:
Extract data from MySQL into temp file.
loadConf=[ db_client_dbshell ,'-u', opt.mysql_user,'-p%s' % opt.mysql_pwd,'-D',opt.mysql_db_name, '-h', opt.mysql_db_server]
...
q="""
%s %s
INTO OUTFILE '%s'
FIELDS TERMINATED BY '%s'
ENCLOSED BY '%s'
LINES TERMINATED BY '\r\n';
""" % (in_qry, limit, out_file, opt.mysql_col_delim,opt.mysql_quote)
p1 = Popen(['echo', q], stdout=PIPE,stderr=PIPE,env=env)
p2 = Popen(loadConf, stdin=p1.stdout, stdout=PIPE,stderr=PIPE)
...
Compress and load data to S3 using boto Python module and multipart upload.
conn = boto.connect_s3(AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY)
bucket = conn.get_bucket(bucket_name)
k = Key(bucket)
k.key = s3_key_name
k.set_contents_from_file(file_handle, cb=progress, num_cb=20,
reduced_redundancy=use_rr )
Use psycopg2 COPY command to append data to Redshift table.
sql="""
copy %s from '%s'
CREDENTIALS 'aws_access_key_id=%s;aws_secret_access_key=%s'
DELIMITER '%s'
FORMAT CSV %s
%s
%s
%s;""" % (opt.to_table, fn, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,opt.delim,quote,gzip, timeformat, ignoreheader)