Image
EAN-130043396147973   EAN-13 barcode 0043396147973
UPC-A043396147973   UPC-A barcode 043396147973
Product NameHard Luck
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.2 pounds
Amazon.comA Buy on Amazon ~ B000HEVZ80
Long DescriptionWesley Snipes ( Blade ) is 'Lucky,' an infamous ex-con whose road to redemption is about to take some very unlucky turns. Against his own better judgment he agrees to celebrate a gangster's birthday, which turns out to be a setup that catapults Lucky back into a frenzied game of cat and mouse between him and a band of dirty cops. In no time, Lucky steals millions of dollars, kidnaps a hot-tempered pole dancer, and finds himself on an explosive and bizarre collision course with the police, the hitmen and a pair of sadistic serial killers! Filmmaker Mario Van Peebles ( Baadasssss! ) and three-time Golden Globe® Award winner Cybill Shepherd join the cast in this pulpy, fast-paced action-thriller about three seemingly disparate stories which converge in an explosive climax that will push everybody's luck to the limits.
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5014138294236: Liberty Stands Still
Created05-22-2010
Modified04-28-2020 6:27:44pm
MD5b58e961396e4309ecd6737c61bffb641
SHA2569024f661b9eff2924154a551a461846bc1848cd7b85c43158262131bb6bcf041
Search Googleby EAN or by Title
Query Time0.0126250

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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