i'm importing 1m+ records into my table from a csv file.
Works great using the load data local infile method.
However, the dates are all different formats.
A quick google lead me to this function:
STR_TO_DATE
However, when I implement that, I get nothing, an empty insert. here's my SQ cut down to include one date (I've 4 with the same issue) and generic column names:
load data local infile 'myfile.csv' into table `mytable`
fields terminated by '\t'
lines terminated by '\n'
IGNORE 1 LINES
( `column name 1`
, `my second column`
, #temp_date
, `final column`)
SET `Get Date` = STR_TO_DATE(#temp_date, '%c/%e/%Y')
If I do:
SET `Get Date` = #temp_date
The date from the csv is captured in the the format it was in the file.
However when I try the first method, my table column is empty. I've changed the column type to varchar (255) from timestamp to captre whatever is going in, but ultimatly, I want to capture y-m-d H:i:s (Not sure if STR_TO_DATE can do that?)
I'm also unsure as to why I need the # symbol.. google failed me there.
So, my questions are:
Why do I need the # symbol to use this function?
Should the data format ('%c/%e/%Y') be the format of the inputted data or my desired output?
Can I capture time in this way too?
sorry for the large post!
Back to Google for now...
Why do I need the # symbol to use this function?
The # symbol means that you are using a variable, so the read string isnt put right away into the table but into a memory pice that lets you operate with it before inserting it. More info in http://dev.mysql.com/doc/refman/5.0/en/user-variables.html
Should the data format ('%c/%e/%Y') be the format of the inputted data or my desired output?
Its the format of the inputted data, more info in http://dev.mysql.com/doc/refman/5.5/en/date-and-time-functions.html#function_str-to-date
Can I capture time in this way too?
You should be able to as long as you chose the correct format, something like
STR_TO_DATE(#temp_date,'%c/%e/%Y %h:%i:%s');
I had this problem. What solved it for me was making sure I accounted for whitespace that weren't delimiters in my load file. So if ',' is the delimiter:
..., 4/29/2012, ...
might be interpreted as " 4/29/2012"
So should be
...,4/29/2012,...
Related
I have a column of data, let's call it bank_date, that I receive from an external vendor as a csv file every day. As such the dates in that column show as '1/1/2020'.
I am trying to upload that raw csv file directly to SQL daily. We used to store the SQL bank_date format as text, but we have converted it to a Data data type, and now it keeps zero'ing out every time, with some sort of truncate / "datetime value incorrect" error.
I have now tested 17 different versions of utilizing STR_TO_date (mostly), CAST, and CONVERT, and feel like I'm close, but I'm not quite getting the syntax right.
Also for reference, I did find 2 other workarounds that are successful, but my boss specifically wants it uploaded and converted directly through the import process (not manipulating the raw csv data) for safety reasons. For reference:
Workaround 1: Convert csv date column to the YYYY-MM-DD format and save file. The issue with this is that if you try to open that CSV file again, it auto-changes the date format back to the standard mm/dd/yyyy. If someone doesn't know to watch out for this and is re-opening the csv file to double check something, they're gonna find an error when they upload, and the problem is not easy to identify.
Workaround 2:Create an extra dummy_date column in the table that is formatted as a text data type and upload as normal. Then copy and paste the data into the correct bank_date column using a str_to_date function as follows: UPDATE dummy_date SET bank_date = STR_TO_DATE(dummy_date, ‘%c/%e/%Y’); The issue with this is that it just creates extra unnecessary data that can be confused when other people may not know that 1 of the columns is not intended for querying.
Here is my current code:
USE database_name;
LOAD DATA LOCAL INFILE 'C:/Users/Shelly/Desktop/Date Import.csv'
INTO TABLE bank_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 ROWS
(bank_date, bank_amount)
SET bank_date = str_to_date(bank_date,'%Y-%m-%d');
The "SET" line is what I cannot work out on syntax to convert a csv's 1/5/2020' to SQL's 2020-1-5 format. Every test I've made either produces 0000-00-00 or nulls the column cells. I'm thinking maybe I need to tell SQL how to understand the csv's format in order for it to know how to convert it. Newbie here and stuck.
You need to specify a format for a date that is in the file, not a "required" one:
SET bank_date = str_to_date(bank_date,'%c/%e/%Y');
I've got a process that creates a csv file that contains ONE set of values that I need to import into a field in a MySQL database table. This process creates a specific file name that identifies the values of the other fields in that table. For instance, the file name T001U020C075.csv would be broken down as follows:
T001 = Test 001
U020 = User 020
C075 = Channel 075
The file contains a single row of data separated by commas for all of the test results for that user on a specific channel and it might look something like:
12.555, 15.275, 18.333, 25.000 ... (there are hundreds, maybe thousands, of results per user, per channel).
What I'm looking to do is to import directly from the CSV file adding the field information from the file name so that it looks something like:
insert into results (test_no, user_id, channel_id, result) values (1, 20, 75, 12.555)
I've tried to use "Bulk Insert" but that seems to want to import all of the fields where each ROW is a record. Sure, I could go into each file and convert the row to a column and add the data from the file name into the columns preceding the results but that would be a very time consuming task as there are hundreds of files that have been created and need to be imported.
I've found several "import CSV" solutions but they all assume all of the data is in the file. Obviously, it's not...
The process that generated these files is unable to be modified (yes, I asked). Even if it could be modified, it would only provide the proper format going forward and what is needed is analysis of the historical data. And, the new format would take significantly more space.
I'm limited to using either MATLAB or MySQL Workbench to import the data.
Any help is appreciated.
Bob
A possible SQL approach to getting the data loaded into the table would be to run a statement like this:
LOAD DATA LOCAL INFILE '/dir/T001U020C075.csv'
INTO TABLE results
FIELDS TERMINATED BY '|'
LINES TERMINATED BY ','
( result )
SET test_no = '001'
, user_id = '020'
, channel_id = '075'
;
We need the comma to be the line separator. We can specify some character that we are guaranteed not to tppear to be the field separator. So we get LOAD DATA to see a single "field" on each "line".
(If there isn't trailing comma at the end of the file, after the last value, we need to test to make sure we are getting the last value (the last "line" as we're telling LOAD DATA to look at the file.)
We could use user-defined variables in place of the literals, but that leaves the part about parsing the filename. That's really ugly in SQL, but it could be done, assuming a consistent filename format...
-- parse filename components into user-defined variables
SELECT SUBSTRING_INDEX(SUBSTRING_INDEX(f.n,'T',-1),'U',1) AS t
, SUBSTRING_INDEX(SUBSTRING_INDEX(f.n,'U',-1),'C',1) AS u
, SUBSTRING_INDEX(f.n,'C',-1) AS c
, f.n AS n
FROM ( SELECT SUBSTRING_INDEX(SUBSTRING_INDEX( i.filename ,'/',-1),'.csv',1) AS n
FROM ( SELECT '/tmp/T001U020C075.csv' AS filename ) i
) f
INTO #ls_u
, #ls_t
, #ls_c
, #ls_n
;
while we're testing, we probably want to see the result of the parsing.
-- for debugging/testing
SELECT #ls_t
, #ls_u
, #ls_c
, #ls_n
;
And then the part about running of the actual LOAD DATA statement. We've got to specify the filename again. We need to make sure we're using the same filename ...
LOAD DATA LOCAL INFILE '/tmp/T001U020C075.csv'
INTO TABLE results
FIELDS TERMINATED BY '|'
LINES TERMINATED BY ','
( result )
SET test_no = #ls_t
, user_id = #ls_u
, channel_id = #ls_c
;
(The client will need read permission the .csv file)
Unfortunately, we can't wrap this in a procedure because running LOAD DATA
statement is not allowed from a stored program.
Some would correctly point out that as a workaround, we could compile/build a user-defined function (UDF) to execute an external program, and a procedure could call that. Personally, I wouldn't do it. But it is an alternative we should mention, given the constraints.
I am using the below sql to export data to a csv file:
select * INTO outfile 'customer.csv'
FIELDs terminated by ',' enclosed by '"'
LINES terminated by '\n'
from CUSTOMER customer
where customer.date_created < '2015-10-22 10:00:00';
I get this result in csv:
Problem is data doesn't import from this generated csv because the date format is different than in DB.
DB date format is yyyy-mm-dd hh:mm:ss. Also null values are replaced with \n which also fail when importing.
How can I generate the csv columns with correct i.e. yyyy-mm-dd hh:mm:ss date format and null/empty values?
Errors:
Incorrect datetime value: '23/07/2015 11:55' for column 'DATE_CREATED' at row 1
Incorrect integer value: '\N' for column 'column_name' at row 1
Note:
I am using mysql workbench to import the file.
I don't want to change the format/data directly in csv file.
Thanks
UPDATE:
Thanks to AdrianBR I realised I was opening the file with excel first which was overriding the date format hence wrong date format was showing even with notepad++.
\n is still a problem.
When opened with notepad++ for the first time it looks like this:
"100","0","2015-12-02 10:16:36","2015-12-02 10:16:36","0",\N,
The issue is most likely not coming from mysql.
It is most likely coming from the way Excel displays and later saves the dates.
to troublehsoot:
Open the file in a text editor such as notepad or notepad++ and check what the date looks like, if it's in ISO or not. It will probably be fine.
Now, if you open it in excel, it will be displayed in local format.
If you save the file now, you are likely to overwrite the ISO date format, with excel's local date format, making it not a valid importable mysql date anymore.
Moral: don't use excel when working with data, only use it to display charts. Excel makes assumptions about your data and messes with it in the most unexpected ways. Remember than 1.19 VAT tax rate? Excel seems to think it's the same as Jan 19. That integer ID? Excel thinks it's better off to write it in scientific notation and round it to first 4 digits. That Iso date? Excel thinks you are better off guessing which is the month and which is the date. That decimal point? surely you wanted comma as decimal, and dot as thousands separator instead. FTFY!
maybe specify the columns explicitly, and include the format in the select list like so:
TO_CHAR( mydate, 'yyyy-mm-dd hh24:mi:ss' )
edit:
as in:
SELECT my_id, my_val1, TO_CHAR( mydate, 'yyyy-mm-dd hh24:mi:ss' )
FROM mytable
I have a csv file with a couple thousand game dates in it, but they are all in the MM/DD/YYYY format
2/27/2011,3:05 PM,26,14
(26 and 14 are team id #s), and trying to put them into SQL like that just results in 0000-00-00 being put into the date field of my table. This is the command I tried using:
LOAD DATA LOCAL INFILE 'c:/scheduletest.csv' INTO TABLE game
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
(`date`, `time`, `awayteam_id`, `hometeam_id`);
but again, it wouldn't do the dates right. Is there a way I can have it convert the date as it tries to insert it? I found another SO question similar to this, but I couldn't get it to work.
Have you tried the following:
LOAD DATA LOCAL INFILE 'c:/scheduletest.csv' INTO TABLE game
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
(#DATE_STR, `time`, `awayteam_id`, `hometeam_id`)
SET `date` = STR_TO_DATE(#DATE_STR, '%c/%e/%Y');
For more information, the documentation has details about the use of user variables with LOAD DATA (about half-way down - search for "User variables in the SET clause" in the page)
You can use variables to load the data from the csv into and run functions on them before inserting, like:
LOAD DATA INFILE 'file.txt'
INTO TABLE t1
(#datevar, #timevar, awayteam_id, hometeam_id)
SET date = STR_TO_DATE(#datevar, '%m/%d/%Y'),
SET time = etc etc etc;
My suggestion would be to insert the file into a temporary holding table where the date column is a character datatype. Then write a query with theSTR_TO_DATE conversion to move the data from the holding table to your final destination.
Convert field that you are using for the date to varchar type so it will play friendly with any format
Import CSV
Convert the dates to a valid mysql date format using something like:
UPDATE table SET field = STR_TO_DATE(field, '%c/%e/%Y %H:%i');
Then revert field type to date
Use a function to convert the format as needed.
I'm not an expert on MySQL, but http://dev.mysql.com/doc/refman/5.0/en/date-and-time-functions.html#function_str-to-date looks promising.
If you can't do that in the load command directly, you may try creating a table that allows you to load all the values as VARCHAR and then to do an insert into your game table with a select statement with the appropriate conversion instead.
If you file is not too big, you can use the Excel function TEXT. If, for example, your date is in cell A2, then the formula in a temporary column next to it would be =TEXT(A2,"yyyy-mm-dd hh:mm:ss"). This will do it and then you can paste the values of the formula's result back into the column and then delete the temporary column.
At csv file, the date field is in such format:
2/9/2010 7:32
3/31/2011 21:20
I am using php + mysql for development.
I need to read it and store into mysql db.
final value to store in mysql should be format as below:
2010-02-09 07:32:00
What's the correct way of it?
Is mysql syntax alone can handle the conversion easily?
Use the STR_TO_DATE() function.
Example
STR_TO_DATE('3/31/2011 21:20', '%c/%e/%Y %H:%i');
I face the same issue and after little research this is how i resolved it-
LOAD DATA LOCAL INFILE 'D:/dataupload.csv' INTO TABLE table1
FIELDS TERMINATED BY ',' ENCLOSED BY '' LINES TERMINATED BY '\r\n' (#d1,col2,col3,col4)
SET col1 = date_format(str_to_date(#d1, **'%m/%d/%Y'**), **'%Y-%m-%d'**)
Details:
'%m/%d/%Y' - this is the format of date in my CSV file
'%Y-%m-%d' - this is the mysql format in which i want to convert my CSV field date while inserting data
col1 - is the actual column of my table (having date data type)
#d1 - is the dummy variable to use in set statement, you can take it any variable
I had the same problem (with DATE) and another solution, is to use the native mysql format YYYYMMDD ie 20120209.
I haven't tried with DATETIME but I guess YYYYMMDDhhmmss will work.