I've read through some other posts and nothing quite answers my question specifically.
I have an existing database in phpMyAdmin - a set of pin codes we use to collect contest entries.
The DB has about 10,000 pin codes in it.
I need to add 250 "New" codes to it. I have an excel file that is stripped down to a single column .csv, no header - just codes.
What I need to do is import this into the table named "pin2" and add these to the row called "pin"
The other rows are where entrants would add names and phone numbers, so are all "null"
I've uploaded a screen grab of the structure.
DB Structure http://www.redpointdesign.ca/sql.png
any help would be appreciated!
You need to use a LOAD DATA query similar to this:
LOAD DATA INFILE 'pincodes.csv'
INTO TABLE pin2 (pin)
If the pin codes in the csv file are enclosed in quotes you may also need to include an ENCLOSED BY clause.
LOAD DATA INFILE 'pincodes.csv'
INTO TABLE pin2
FIELDS ENCLOSED BY '"'
(pin)
If you wants to do using csv
Then you need to need to follow these steps
Manually define autoincremented value in first comlumn.
In other column you have to externally define it as a NULL,
otherwise you will get Invalid column count in CSV input on line 1.
because column with no value is not consider by phpmyadmin
Them click on import in phpmyadmin and you are done ..
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 am importing csv file into mysql using load data. My load data command is as mentioned below.
load data local infile 'D:/mydata.csv' into table mydb.mydata
fields terminated by ','
enclosed by '"'
lines terminated by '\r\n'
ignore 1 lines
(SrNo,SourceFrom,#var_updated,Title,First_Name,Middle_Name,Last_Name,Designation,Company_Name,#var_dob,Office_Mobile_No)
set updated = str_to_date(#var_updated,'%Y-%m-%d'), dob = str_to_date(#var_dob, '%Y-%m-%d');
I am getting different values in my "Updated" and "DOB" columns. Such values are different in my .csv file.
First image is from mysql workbench while another is of csv.
Also, I sat "office_mobile_no" column's format to 'number' in csv. But its showing number like this.
When I double click on it, then only it shows the real number like 9875461234. It imports the same in mysql too. How do I get original number in a specific column? Also why my imported date values are differ from csv's date columns?
A couple of points that I can see:
It looks from your screenshot like the data in your CSV file for "updated" is in d-m-Y format, but you're telling the import to look for Y-m-d. I think you need to change
set updated = str_to_date(#var_updated,'%Y-%m-%d')
to
set updated = str_to_date(#var_updated,'%d-%m-%Y')
And the same for DOB field as well, assuming your CSV has that in the same format.
You said I sat "office_mobile_no" column's format to 'number' in csv. CSV is a text file format, it doesn't store any information about how to display data. What you're seeing is just how Excel decides to display large numbers by default. You can change that, but your changes won't be saved when you save it to CSV, because the CSV file format doesn't include that sort of information. Try opening the file in Notepad++ and seeing the real format of the file.
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
I am trying to import a Text File into a MySQL through Navicat DB software.
I am struggling to import(append) a text file into a MySQL table.
The text file fields are seperated by | ;
example : |Name|Email|Address|
When i import this through the Navicat import wizard it ask for " Which delimeter seperates
the fields. So instead of selecting Tabs, ; , or any other i select | as field seperator.
But still the fields in the file do not match(sync) with the fields of the table...
Can anyone suggest any advice here?
I actually have exported the text file from another MySQL DB thru export functionality from PHPMyAdmin,,
I assume your name column is null and the values appear instead in the email column?
I suspect the problem lies in the fact that your fields are not only separated by a pipe, your rows also begin and end with a pipe.
Think of a CSV: name,email,address, not ,name,email,address,, because that would be interpreted as 5 columns, the value of the first and last field being null.
You'll have to choose a different delimiter for your rows and fields.
Beyond that, you can try importing the data into a new table and then write an insert query to map the temp fields to the ones in your database. The screen after the one where you choose the target table has a table where you can map your import fields to the target ones.
Let me know how that works out.
I have created a database and a table. I have also created all the fields I will be needing. I have created 46 fields including one that is my ID for the row. The CSV doesn't contain the ID field, nor does it contain the headers for the columns. I am new to all of this but have been trying to figure this out. I'm not on here being lazy asking for the answer, but looking for directions.
I'm trying to figure out how to import the CSV but have it start importing data starting at the 2nd field, since I'm hoping the auto_increment will fill in the ID field, which is the first field I created.
I tried these instructions with no luck. Can anyone offer some insight?
The column names of your CSV file must match those of your table
Browse to your required .csv file
Select CSV using LOAD DATA options
Check box 'ON' for Replace table data with file
In Fields terminated by box, type ,
In Fields enclosed by box, "
In Fields escaped by box, \
In Lines terminated by box, auto
In Column names box, type column name separated by , like column1,column2,column3
Check box ON for Use LOCAL keyword.
Edit:
The CSV file is 32.4kb
The first row of my CSV is:
Test Advertiser,23906032166,119938,287898,,585639051,287898 - Engager - 300x250,88793551,Running,295046551,301624551,2/1/2010,8/2/2010,Active,,Guaranteed,Publisher test,Maintainer test,example-site.com,,All,All,,Interest: Dental; custom geo zones: City,300x250,-,CPM,$37.49 ,"4,415","3,246",3,0,$165.52 ,$121.69 ,"2,895",805,0,0,$30.18 ,$37.49 ,0,$0.00 ,IMPRESSIONBASED,NA,USD
You can have MySQL set values for certain columns during import. If your id field is set to auto increment, you can set it to null during import and MySQL will then assign incrementing values to it. Try putting something like this in the SQL tab in phpMyAdmin:
LOAD DATA INFILE 'path/to/file.csv' INTO TABLE your_table FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' SET id=null;
Please look at this page and see if it has what you are looking for. Should be all you need since you are dealing with just one table. MYSQL LOAD DATA INFILE
So for example you might do something like this:
LOAD DATA INFILE 'filepath' INTO TABLE 'tablename' FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' (column2, column3, column4);
That should give you an idea. There are of course more options that can be added as seen in the above link.
be sure to use LOAD DATA LOCAL INFILE if the import file is local. :)