Image
EAN-130724354412691   EAN-13 barcode 0724354412691
UPC-A724354412691   UPC-A barcode 724354412691
Product NameNow That's What I Call Music!, Vol. 2
LanguageEnglish
CategoryAdult Oriented Item: Video
Amazon.comA Buy on Amazon ~ B00064AM6M
Price New2.95 US Dollars    (curriencies)
Price Used1.64 US Dollars    (curriencies)
Run Time60 minutes
CastJessica Simpson, Kylie Minogue, No Doubt, Norah Jones, blink-182
GenreMusic Videos & Concerts
Run Time60 minutes
Width5.25 inches    (convert)
Height0.75 inches    (convert)
Length7.5 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingDVD
FormatColor, NTSC
Run Time60 minutes
Long DescriptionTracklistings: 1. The Reason - Hoobastank 2. It's My Life - No Doubt 3. Meant to Live - Switchfoot 4. One Thing - Finger Eleven 5. Take Me Out - Franz Ferdinand 6. Feeling This - blink-182 7. Hold On - Good Charlotte 8. Dip It Low - Christina Milian 9. Hey Mama - Black Eyed Peas 10. Holidae In - Chingy 12. Sunshine - Lil Flip 13. Slow - Kylie Minogue 14. Heaven - Los Lonely Boys 15. With You - Jessica Simpson 16. Sunrise - Norah Jones
Similar Items0602498869338: What's New! Dvd
Created05-22-2010
Modified04-29-2020 11:44:53pm
MD541c56a2eb52646cf60df234f024659ce
SHA2566f44b4c75538f0e4742ca223d4ef20192638011560795d007c2f4a2d8f06142e
Search Googleby EAN or by Title
Query Time0.0077100

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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