Image
EAN-130000009942035   EAN-13 barcode 0000009942035
UPC-A000009942035   UPC-A barcode 000009942035
Product NameBlue Amazon Kindle 2 Hard Shell Carrying Case + A Black Led Reading Light + Car Charger + Wall Charger + A Screen Protector + A Live*laugh*love Wrist Band!!!
LanguageEnglish
CategoryElectronics / Photography
Short Description100.00 EA
Amazon.comA Buy on Amazon ~ B001UHKFUM
BindingElectronics
FeaturesHard shell Carrying Case for Amazon Kindle 2!!! Safely carry your Device with this EVA hard shell cube carrying case with Dual rubber zipper for added convenience!!! Velcro strap holds your device snugly in place to prevent it from falling when case is opened. Mesh inner pocket for small accessories such as CD, USB cable, pen and paper!!! Compatible with Amazon Kindle 2 only, Not For Kindle DX!!! Approximate interior dimensions are: 9 x 6 3/4 x 1 1/4 inch
Long DescriptionHard shell Carrying Case for Amazon Kindle 2!!! Safely carry your Device with this EVA hard shell cube carrying case with Dual rubber zipper for added convenience!!! Velcro strap holds your device snugly in place to prevent it from falling when case is opened. Mesh inner pocket for small accessories such as CD, USB cable, pen and paper!!! Compatible with Amazon Kindle 2 only, Not For Kindle DX!!! Approximate interior dimensions are: 9 x 6 3/4 x 1 1/4 inch
Created06-17-2007
Modified04-28-2020 8:00:45am
MD50f6d8ffacd028795085b0b9a5f130006
SHA2567103677353007e3d2427622fa28d4079e9bb39107d09eea0ecd85742797ef42d
Search Googleby EAN or by Title
Query Time0.0051029

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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