Image
EAN-130691464506001   EAN-13 barcode 0691464506001
UPC-A691464506001   UPC-A barcode 691464506001
Product NameFossil Men's Am4319 Leather And Stainless Steel Bracelet Black Analog Dial Watch
LanguageEnglish
CategoryJewelry / Watches
Amazon.comA Buy on Amazon ~ B003HCZU8A
SKUFOSSIL-WATCH-AM4319
Long Description

The AM4319 Analog Watch from Fossil is the perfect way to stay punctual. From timeless classics to the latest fashions, Fossil is sure to have the timepiece that perfectly compliments your unique sense of style. Founded in 1984 when timepieces were created more for function than fashion, Fossil began to transform this notion with its unique combination of vintage 1950s Americana design and affordably accessible cool style. Adding to their collectability were the one-of-a-kind, trademark tins that came with the watches that mixed a creative spirit with a sense of humor. These iconic boxes are nearly as popular as the watches they hold and are regularly collected and traded throughout the world at flea markets, antique shops, and on eBay.

Today, Fossil produces over 300 different styles of watches in a continuously changing lineup. While the majority of designs are created by in-house designers, Fossil has reached out to such contemporary artisans as product designer Philip Starck and famed architect Frank Gehry (designer of the Guggenheim Museum in Bilbao, Spain) to create uniquely modern timepieces. In addition to style innovations, Fossil has also helped introduce innovative technologies into watches, such as the Wrist PDA that ran the Palm operating system. Fossil also offers complementary lines of small leather goods, belts, handbags, sunglasses, jewelry and apparel.

Created11-22-2012 8:30:27pm
Modified04-29-2015 3:31:01pm
MD5150f3cd801b30cb36e11c1d0692ffdc4
SHA2563e6845b76dc5076663f00b96d563ff6d9448000917ef8401cfd3512af4f07924
Search Googleby EAN or by Title
Query Time0.0014160

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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