Image
EAN-130027616865526   EAN-13 barcode 0027616865526
UPC-A027616865526   UPC-A barcode 027616865526
Product NameDressed to Kill
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDvd
Amazon.comA Buy on Amazon ~ B00005K3NU
Model2221912
Price New8.96 US Dollars    (curriencies)
Price Used2.54 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time105 minutes
Aspect Ratio2.35:1
CastAngie Dickinson, Dennis Franz, Keith Gordon, Michael Caine, Nancy Allen
Run Time105 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, AC-3, Anamorphic, Closed-captioned, Color, Dolby, Dubbed, NTSC, Special Edition, Subtitled, Widescreen
Published08/01/2001
Run Time105 minutes
FeaturesFactory sealed DVD
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Created07-01-2006
Modified05-28-2019 9:25:31pm
MD5694125cee73ed88d118fdfd55790df1d
SHA2566688c89690fca8ba5d8ec9e3453b62d31010074ed4b1904225722855fe9fd2f4
Search Googleby EAN or by Title
Query Time0.0365589

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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