How do I import a .txt file into a MySQL table?
My .txt file is like this...
ex : AF0856427R1 000002200R HADISUMARNO GGKAMP MALANG WET 3 6 00705 AFAAADF16000-AD-FA P00.001.0 1 000001.00022947.70023290.00 T511060856425A 022014B
There are 39 fields in my file.
Try mysqlimport command
name of the text file should be the name of the table in which you want the data to be imported. For eg, if your file name is patient.txt, data will be imported into patient table
mysqlimport [options] db_name textfile
There are lot of options that you can pass in. Documentation here
Especially since some of your fields are terminated by spaces and some are based on string length, I would definitely first do some string manipulation with your favorite tool (sed, awk, and perl are all likely very good choices).
Create an intermediary comma separated file. If you have commas in the existing file, you can easily use some other character. The goal is to create a file that has one consistent separator.
You've used the phpMyAdmin tag, so from your table go to the Import tab, select the file, and pick CSV from the dropdown of file types. Edit the options according to what your file looks like (for instance, perhaps § is your column separator and you might leave the next two options blank). Then try the import and check the data to make sure it all arrived in the columns you expected.
Good luck.
Related
I have a 13gb .txt file which I am importing into MySQL, however I don't want to import all of the data. For example there are many columns that are either completely empty or contain irrelevant information - I only want to import ~100/360 I've been provided. If I only create headers for the columns I want, can I select the specific corresponding data from the .txt file to be uploaded?
Normally I would use a text editor to remove the superfluous data, but I do not possess a text editor that can handle a file of this size.
You can ignore specific columns in the input file by assigning them to a user-defined variable instead of a database column.
For example if you had a CSV file with 4 columns and just wanted to import columns 1 and 4 into your table you could do something like this:
load data infile '/tmp/so42140337.csv'
into table so42140337
fields terminated by ','
lines terminated by '\n'
(c1,#dummy,#dummy,c2);
Given the size of your input file it may be more efficient to import it in chunks rather than importing the entire file in one command. You can use the pt-fifo-split tool for this, following the pattern in this blog post.
I would like to export each table of my SQLite3 database to CSV files for further manipulation with Python and after that I want to export the CSV files into a different database format (PSQL). The ID column in SQLite3 is of type GUID, hence jiberrish when I export tables to CSV as text:
l_yQ��rG�M�2�"�o
I know that there is a way to turn it into a readable format since the SQLite Manager addon for Firefox does this automatically, sadly without reference regarding how or which query is used:
X'35B17880847326409E61DB91CC7B552E'
I know that QUOTE (GUID) displays the desired hexadecimal string, but I don't know how to dump it to the CSV instead of the BLOB.
I found out what my error was - not why it doesn't work, but how I get around it.
So I tried to export my tables as staded in https://www.sqlite.org/cli.html , namely a multiline command, which didn't work:
sqlite3 'path_to_db'
.headers on`
.mode csv
.output outfile.csv
SELECT statement
and so on.
I was testing a few things and since I'm lazy while testing, I used the single line variant, which got the job done:
sqlite3 -header -csv 'path_to_db' "SELECT QUOTE (ID) AS Hex_ID, * FROM Table" > 'output_file.csv'
Of course it would be better if I would specify all column names instead of using *, but this sufices as an example.
I am trying to load the following simple csv file into tableau public 9.3:
customers,item1,item2,item3,item4
1,0,0,0,0
2,0,0,0,0
3,0,0,0,0
However, it doesn't read the file as separate columns, despite the field separator being Comma. Instead it treats the whole line as one column. Any help would be greatly appreciated :
If you change your locale settings to English US you will be able to load the file. You should also be able to work around this by creating a schema.ini file.
Go to Data > Manage fields > [Field] Options
You can also control imported CSV behavior post import both by splitting individual columns (which will remain split on update as well), or by the image below at the CSV level.
That doesn`t work for me. So I reopen the .csv file in Excel and save it again in .csv format with ',' as the delimeter.
After that my file looks like .csv with ';' delimeter and works with Tableau.
I have a CSV file that I need to format (i.e., turn into) a SQL file for ingestion into MySQL. I am looking for a way to add the text delimiters (single quote) to the text, but not to the numbers, booleans, etc. I am finding it difficult because some of the text that I need to enclose in single quotes have commas themselves, making it difficult to key in to the commas for search and replace. Here is an example line I am working with:
1239,1998-08-26,'Severe Storm(s)','Texas,Val Verde,"DEL RIO, PARKS",'No',25,"412,007.74"
This is FEMA data file, with 131246 lines, I got off of data.gov that I am trying to get into a MySQL database. As you can see, I need to insert a single quote after Texas and before Val Verde, so I tried:
s/,/','/3
But that only replaced the first occurrence of the comma on the first three lines of the file. Once I get past that, I will need to find a way to deal with "DEL RIO, PARKS", as that has a comma that I do not want to place a single quote around.
So, is there a "nice" way to manipulate this data to get it from plain CSV to a proper SQL format?
Thanks
CSV files are notoriously dicey to parse. Different programs export CSV in different ways, possibly including strangeness like embedding new lines within a quoted field or different ways of representing quotes within a quoted field. You're better off using a tool specifically suited to parsing CSV -- perl, python, ruby and java all have CSV parsing libraries, or there are command line programs such as csvtool or ffe.
If you use a scripting language's CSV library, you may also be able to leverage the language's SQL import as well. That's overkill for a one-off, but if you're importing a lot of data this way, or if you're transforming data, it may be worthwhile.
I think that I would also want to do some troubleshooting to find out why the CSV import into MYSql failed.
I would take an approach like this:
:%s/,\("[^"]*"\|[^,"]*\)/,'\1'/g
:%s/^\("[^"]*"\|[^,"]*\)/'\1'/g
In words, look for a double quoted set of characters or , \|, a non-double quoted set of characters beginning with a comma and replace the set of characters in a single quotation.
Next, for the first column in a row, look for a double quoted set of characters or , \|, a non-double quoted set of characters beginning with a comma and replace the set of characters in a single quotation.
Try the csv plugin. It allows to convert the data into other formats. The help includes an example, how to convert the data for importing it into a database
Just to bring this to a close, I ended up using #Eric Andres idea, which was the MySQL load data option:
LOAD DATA LOCAL INFILE '/path/to/file.csv'
INTO TABLE MYTABLE FIELDS TERMINATED BY ',' LINES TERMINATED BY '\r\n';
The initial .csv file still took a little massaging, but not as much as I were to do it by hand.
When I commented that the LOAD DATA had truncated my file, I was incorrect. I was treating the file as a typical .sql file and assumed the "ID" column I had added would auto-increment. This turned out to not be the case. I had to create a quick script that prepended an ID to the front of each line. After that, the LOAD DATA command worked for all lines in my file. In other words, all data has to be in place within the file to load before the load, or the load will not work.
Thanks again to all who replied, and #Eric Andres for his idea, which I ultimately used.
How can I load 10,000 rows of test.xls file into mysql db table?
When I use below query it shows this error.
LOAD DATA INFILE 'd:/test.xls' INTO TABLE karmaasolutions.tbl_candidatedetail (candidate_firstname,candidate_lastname);
My primary key is candidateid and has below properties.
The test.xls contains data like below.
I have added rows starting from candidateid 61 because upto 60 there are already candidates in table.
please suggest the solutions.
Export your Excel spreadsheet to CSV format.
Import the CSV file into mysql using a similar command to the one you are currently trying:
LOAD DATA INFILE 'd:/test.csv'
INTO TABLE karmaasolutions.tbl_candidatedetail
(candidate_firstname,candidate_lastname);
To import data from Excel (or any other program that can produce a text file) is very simple using the LOAD DATA command from the MySQL Command prompt.
Save your Excel data as a csv file (In Excel 2007 using Save As) Check
the saved file using a text editor such as Notepad to see what it
actually looks like, i.e. what delimiter was used etc. Start the MySQL
Command Prompt (I’m lazy so I usually do this from the MySQL Query
Browser – Tools – MySQL Command Line Client to avoid having to enter
username and password etc.) Enter this command: LOAD DATA LOCAL INFILE
‘C:\temp\yourfile.csv’ INTO TABLE database.table FIELDS TERMINATED
BY ‘;’ ENCLOSED BY ‘”‘ LINES TERMINATED BY ‘\r\n’ (field1, field2);
[Edit: Make sure to check your single quotes (') and double quotes (")
if you copy and paste this code - it seems WordPress is changing them
into some similar but different characters] Done! Very quick and
simple once you know it :)
Some notes from my own import – may not apply to you if you run a different language version, MySQL version, Excel version etc…
TERMINATED BY – this is why I included step 2. I thought a csv would default to comma separated but at least in my case semicolon was the deafult
ENCLOSED BY – my data was not enclosed by anything so I left this as empty string ”
LINES TERMINATED BY – at first I tried with only ‘\n’ but had to add the ‘\r’ to get rid of a carriage return character being imported into the database
Also make sure that if you do not import into the primary key field/column that it has auto increment on, otherwhise only the first row will be imported
Original Author reference