Image
EAN-130000020223427   EAN-13 barcode 0000020223427
UPC-A000020223427   UPC-A barcode 000020223427
Product NameL'oreal Paris Double Extension Mascara + L'oreal Renewal Lash Serum
CategoryBath / Beauty / Hygiene
Short Description1kg
Amazon.comA Buy on Amazon ~ B00GZNELHE
BindingMisc.
Features
  • L'Oreal Paris Double Extension Renovation Serum Mascara
  • L'Oreal Renewal Lash Serum
Long DescriptionThe new L'Oréal Paris Double Extension Renewal Serum Inside Mascara is a 2-step mascara that gives a multiplied lash effect and up to 80% longer-looking lashes. 1: A serum enriched base coat with Arginine and Centella. Lashes feel fortified and nourished. 2: An ultra-lengthening mascara for a lash extension effect. Up to 80% longer-looking lashes. RENEWAL SERUM: Give lashes a nourishing boost every day with L'Oréal Paris's 1st Renewal Lash Serum. An intensive formula enriched with Arginine and Centella. Lashes feel fortified and look renewed. By day, apply under your mascara. By night, remove mascara and apply to bare lashes"
Created05-22-2010
Modified03-11-2017 8:54:03am
MD599a5106d1f173f6136658d1860b989a4
SHA256c422e7131d5e93b7ec55a340c1cbefbdfe4c170aafbe3af5ce6b60badd90c55b
Search Googleby EAN or by Title
Query Time0.0048239

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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