Image
EAN-130025192035289   EAN-13 barcode 0025192035289
UPC-A025192035289   UPC-A barcode 025192035289
Product NameScott Pilgrim vs. the World
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B0041T52S6
Model15010875
Price New3.97 US Dollars    (curriencies)
Price Used1.49 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time113 minutes
Aspect Ratio1.85:1
CastAnna Kendrick, Chris Evans, Kieran Culkin, Mary Elizabeth Winstead, Michael Cera
DirectorEdgar Wright
GenreAction/Adventure
Run Time113 minutes
Width5.35 inches    (convert)
Height0.55 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year2010
FormatMultiple Formats, AC-3, Color, Dolby, Dubbed, NTSC, Subtitled, Widescreen
Published09/25/2011
Run Time113 minutes
FeaturesShrink-wrapped
Long DescriptionGame on! Scott Pilgrim just met the girl of his dreams…literally. But in order for them to date, he must defeat her seven evil exes -- a rogues' gallery -- including an infamous skateboarder, a vegan rock star and fearsome identical twins! From the genre-smashing director of Hot Fuzz and Shaun of the Dead comes “a true original” (Entertainment Weekly) powered up by wit, action and groundbreaking visuals that you will want to watch again as soon as it’s over!
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Created08-03-2011 6:36:32am
Modified05-21-2019 3:47:34pm
MD597d7b3d2a17c080384fbf559b27912f5
SHA2562c83ccfb3983d7bac4a370dd9779915619ae656a67ad9045d34c9d4ed87b5556
Search Googleby EAN or by Title
Query Time0.0043199

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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