Image
EAN-13	0642249137927
UPC-A	642249137927
Product Name	Darn Tough Merino Wool Coolmax Micro Crew Cushion Socks - Men's Gray/Black Large
Category	Outdoor
Amazon.com	Buy on Amazon ~ B0100M26SQ
Model	1931GYBK-L
Price New	18.19 US Dollars    (curriencies)
Width	8 inches    (convert)
Height	10 inches    (convert)
Length	3 inches    (convert)
Binding	Paperback
Features	Coolmax Engineered to move moisture away from your skin and dry fast in warm conditions., The perfect sock for runners looking to lose bulk without sacrificing cushioning and comfort when the weather gets hot, True Seamless construction reduces hotspots and blisters, Still made in Vermont, USA, Unconditionally guaranteed for life, 37% Nylon, 34% Coolmax Polyester, 26% Acrylic, 2% Lycra Spandex, 1% Other fiber, True Seamless Undetectable seam fusion for an ultra smooth, invisible feel.
Long Description	These socks won't stop global warming, but you might not mind quite as much. Coolmax Polyester yarns are engineered to move moisture away from your skin, to be fast drying and to enhance comfort. Legendary Darn Tough construction and performance fit assure that socks stay put and in place all day. No slipping. No bunching. No blisters. No hot spots. Cushioning on the foot base provides comfort and fit with the perfect bounce that hikers and trail runners love. Stay cool, keep hiking. Still made in Vermont. Guaranteed for life.
Similar Items	0642249157635: Darn Tough Coolmax Micro Crew Cushion Sock - Women's Light Gray Medium 0642249157796: Darn Tough Hiker 1/4 Cushion Sock - Men's Denim Large 0642249144086: Darn Tough Light Hiker Micro Crew Light Cushion Socks - Men's Smoke/Cranberry Large 0642249140378: Darn Tough Merino Wool Coolmax Boot Full Cushion Socks - Men's Gray/Black Large 0642249135824: Darn Tough Heady Stripe Micro Crew Light Cushion Socks - Men's Ash Large 0642249190687: Darn Tough Merino Wool Boot Sock Full Cushion,Black,Large 0799209419286: Darn Tough Merino Wool Micro Crew Sock Cushion,Black,Large
Created	04-13-2018 3:07:41am
Modified	04-29-2020 9:23:12pm
MD5	f9b075a1c3298cbd49c549e102d971bd
SHA256	b963f296253a6789505a4f1cf80f736ac2defe3e6c0aa58481d4ea98236a77e7
Search Google	by EAN or by Title
Query Time	0.0209079

Making use of the tools we offer

Importing our data into your MySQL database

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.