Image
EAN-130043396510616   EAN-13 barcode 0043396510616
UPC-A043396510616   UPC-A barcode 043396510616
Product NameAnger Management / Eight Crazy Nights / Animal, the / Joe Dirt / Master of Disguise, the / Mr. Deeds - Set
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B06Y16751V
Price New9.56 US Dollars    (curriencies)
Price Used9.55 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time534 minutes
Aspect Ratio2.40:1
CastAdam Sandler, Jack Nicholson
DirectorPeter Segal
GenreComedies
Run Time534 minutes
Width5 inches    (convert)
Height0.75 inches    (convert)
Length7.75 inches    (convert)
Weight26 hundredths pounds    (convert)
BindingDvd
Release Year2003
FormatAC-3, Box set, Closed-captioned, Color, Dolby, Subtitled, Widescreen, NTSC
Run Time534 minutes
FeaturesShrink-wrapped
Long DescriptionDVD
Similar Items0085391132417: National Lampoon's Christmas Vacation
0025192227172: Happy Gilmore / Billy Madison / I Now Pronounce You Chuck & Larry 3-Movie Laugh Pack
Created09-23-2017 10:07:08am
Modified05-12-2019 5:35:39am
MD59b4fd46990ec08698455b3356d556ca4
SHA256880d1fa5ed111b328703469e8e81dc2084d749818a14471345fee111f034c10d
Search Googleby EAN or by Title
Query Time0.0027261

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.

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