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EAN-130043396166820   EAN-13 barcode 0043396166820
UPC-A043396166820   UPC-A barcode 043396166820
Product NameClick [Special Edition]
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionN/A
Amazon.comA Buy on Amazon ~ B000HRMCUC
SKU0000200001043396166820
Price New3.26 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
IMDbIMDb Link
Run Time107 minutes
Aspect Ratio1.85:1
CastAdam Sandler, Christopher Walken, David Hasselhoff, Henry Winkler, Kate Beckinsale
Run Time107 minutes
Weight18 hundredths pounds    (convert)
BindingDvd
FormatDVD
Run Time107 minutes
Long DescriptionA workaholic architect finds a universal remote that allows him to fast-forward and rewind to different parts of his life. Complications arise when the remote starts to overrule his choices.
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Created10-11-2006
Modified07-30-2018 7:54:12am
MD50cc2714980d3abcbc6db3e00008c496f
SHA256c445c451de16c395b3ab6892267078189f2171f6fa1202c595a8bd077d1b6333
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Query Time0.0200441

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.

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