Image
EAN-130089859022821   EAN-13 barcode 0089859022821
UPC-A089859022821   UPC-A barcode 089859022821
Product NameBad Blonde (1953)
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B006HH62FM
Price New13.92 US Dollars    (curriencies)
Price Used13.91 US Dollars    (curriencies)
CastBarbara Payton, Frederick Valk, John Slater, Sidney James, Tony Wright
GenreMystery & Thrillers
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Black & White, NTSC
Published12/27/2011
FeaturesManufactured to the Highest Quality Available., Design is stylish and innovative. Satisfaction Ensured., Great Gift Idea.
Long DescriptionAn Italian boxing manager's wife tricks her heavyweight Irish lover into helping her kill her husband.
Similar Items0887090096706: Beat Generation
0738329202156: Shield for Murder
0644827149124: Bride of the Gorilla
0089859064821: Great Jesse James Raid
0089859063329: Man Bait
0043396359758: Long Haul (On Demand Dvd-R)
Created09-06-2018 12:10:05am
Modified04-29-2020 10:24:00am
MD545c7be2c8eed8939d4259f42c62ede7f
SHA2568fb4b9742ca37a8dc265dd16a9012b9b735e847e43d2966e958af7298ca5a5a2
Search Googleby EAN or by Title
Query Time0.0153220

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.

Close

Search

Close

Share