Image
EAN-130014381689129   EAN-13 barcode 0014381689129
UPC-A014381689129   UPC-A barcode 014381689129
Product NameRandom Hearts
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B00441GYZQ
Price New6.31 US Dollars    (curriencies)
Price Used3.79 US Dollars    (curriencies)
BindingDvd
Long DescriptionFrom Sydney Pollack, the Academy Award-winning producer and director of Out of Africa, comes this passionate romantic thriller with a stellar cast. Dutch Van Den Broeck (Harrison Ford) plays an Internal Affairs sergeant who becomes entangled with , Kay Chandler (Kristin Scott Thomas) a high-powered Congresswoman when an airplane crash kills both their spouses. Dutch soon discovers that it was more than coincidence that had their spouses on the same plane— it was an affair. Details of the affair anger Kay, who is determined to protect both her daughter and her political career. As the story unfolds, she finds herself unable to resist being drawn into Dutch's investigation, and the passion they find in each other brings about the most unexpected discovery of all.
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Created04-17-2012 8:22:45pm
Modified01-16-2020 7:24:11pm
MD5781ef2a2ce3e2a8a0844e990bd70877c
SHA256023ac0ad4fd1ed1702e1eba88b7d6e49820d1480a4138fa4b2c949b67aba0e09
Search Googleby EAN or by Title
Query Time0.0220740

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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