EAN-133401345935571   EAN-13 barcode 3401345935571
Product NameBioderma Sensibio H2O Micelle Solution, 500 ml
CategoryBath / Beauty / Hygiene
Amazon.comA Buy on Amazon ~ B00D47VIHA
Price New23.93 US Dollars    (curriencies)
Price Used31.04 US Dollars    (curriencies)
Width2.5 inches    (convert)
Height7 inches    (convert)
Length2.5 inches    (convert)
Weight16 ounces    (convert)
BindingHealth And Beauty
  • Bioderma sensibio H2O micelle solution suitable for sensitive skin
  • Helps gently cleanse and remove face and eye makeup
  • Made In France
Long DescriptionGenuine and brand new Bioderma Sensibio H2O Micelle Solution 3.5 fl. oz. (100 ml). The benchmark micelle solution that daily cleanses and removes make-up from sensitive skin. Made in France.BIODERMA has acquired unique expertise by placing biology at the service of dermatology. This original scientific approach relies first and foremost on the skin's knowledge and its biological mechanisms to formulate its products.
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Created02-22-2012 1:17:19am
Modified09-10-2017 1:24:28am
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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 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.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


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.