Image
EAN-130032429017260   EAN-13 barcode 0032429017260
UPC-A032429017260   UPC-A barcode 032429017260
Product NameSpongeBob SquarePants - Sponge for Hire / SpongeBob SquarePants - Seascape Capers
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000LE16V2
Model032429017260
IMDbIMDb Link
Run Time23 minutes
CastBill Fagerbakke, Clancy Brown, Dee Bradley Baker, Rodger Bumpass, Tom Kenny
Run Time23 minutes
Width5.5 inches    (convert)
Height1.25 inches    (convert)
Length7.5 inches    (convert)
Weight46 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Animated, Color, Full Screen, NTSC
Published11/29/2006
Run Time23 minutes
FeaturesFactory sealed DVD
Long DescriptionNo description available for this title.
Item Type: DVD Movie
Item Rating: NR
Street Date: 02/06/07
Wide Screen: no
Director Cut: no
Special Edition: no
Language: ENGLISH
Foreign Film: noSubtitles: no
Dubbed: no
Full Frame: yes
Re-Release: no
Packaging: Sleeve
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Created05-22-2010
Modified08-26-2018 5:10:01pm
MD53c7b8abd5ed1239c362e0ee764b27391
SHA256d13eef6189648e88e8a8a26cb3c6ffc4c00259aee169b61cbd411df6c8ef9d6f
Search Googleby EAN or by Title
Query Time0.0147250

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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