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EAN-13	5051892213103
Product Name	Big Bang Theory S1-11
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ B07DQZM9W8
Price New	54.87 US Dollars    (curriencies)
Rating	PG-13 - Parents Strongly Cautioned
Run Time	4,664 minutes
Cast	Jim Parsons, Johnny Galecki, Kaley Cuoco, Kunal Nayyar, Simon Helberg
Genre	Comedy
Run Time	4664 minutes
Weight	132 hundredths pounds    (convert)
Binding	Blu-ray
Format	PAL, Subtitled
Run Time	4,664 minutes
Long Description	Leonard and Sheldon are brilliant physicists, the kind of beautiful minds that understand how the universe works. But none of that genius helps them interact with people, especially women. All this begins to change when a free-spirited beauty named Penny moves in next door. Sheldon, Leonard's roommate, is quite content spending his nights playing Klingon Boggle with their socially dysfunctional friends, fellow Caltech scientists Wolowitz and Koothrappali. However, Leonard sees in Penny a whole new universe of possibilities ... including love.
Similar Items	0888574712648: Young Sheldon The Complete First Season 0883929657711: Big Bang Theory The Complete Twelfth and Final Season 0883929656097: Big Bang Theory The Complete Twelfth and Final Season 0883929618491: Game of Thrones: The Complete Seasons 1-7 (BD + Digital) 0883929329885: Ocean's Trilogy Collection 0683904111685: Married with Children The Complete Series 0032429201430: Charmed The Complete Series
Created	01-21-2019 8:57:17pm
Modified	05-23-2019 8:43:35am
MD5	80c1ee4fa274fbb3bca3fb4feb25e3a2
SHA256	1ee4b3af023fd9d83840a26cd3958929ba6159e35193087148bb571bbb4d16ae
Search Google	by EAN or by Title
Query Time	0.0131578

Article of interest

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);


Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product
    FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
    LINES TERMINATED BY '\r\n'
    IGNORE 1 LINES;


Finally, lets look at the data that we just imported.

SELECT * FROM EAN_PRODUCT;


You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.