Image
EAN-130046200005360   EAN-13 barcode 0046200005360
UPC-A046200005360   UPC-A barcode 046200005360
UPC-E04653620   UPC-E barcode 04653620
BrandCoverGirl
Product NameCoverGirl Melting Pout Matte Coral Chronicles Liquid Lipstick
CategoryBath / Beauty / Hygiene
Web Link
Amazon.comA Buy on Amazon ~ B0779SC74G
Price New6.99 US Dollars    (curriencies)
Width0.68 inches    (convert)
Height4.56 inches    (convert)
Length0.68 inches    (convert)
Weight0.11 pounds    (convert)
BindingHealth and Beauty
Features
  • Intensely pigmented. Gel cream feels flexible, never stiff. Not sticky or tacky
  • Liquid matte lipstick infused with nourishing ingredients and high definition color that feels velvety soft
  • Compare to a $20 Liquid Lipstick
  • Cushiony soft applicator for gel that glides on smoothly
  • Try vs. a prestige liquid lipstick
Long DescriptionFor color so hot, it's melted! New COVERGIRL Melting Pout Matte Liquid Lipsticks give you a high-impact, super rich color with a lightweight, matte finish. These liquid matte lipsticks are infused with nourishing ingredients and glide on easily for a smooth finish.
Similar Items0041554543650: Maybelline Makeup SuperStay Matte Ink Liquid Lipstick, Seductress Nude Matte Lipstick, 0.17 fl oz
Created11-14-2017 8:05:03pm
Modified04-03-2020 7:27:45am
MD5ebce8c4a115cbc367fd81210455bc206
SHA256e13b1f6e5bbd631b66cfb4b50365d4cb21779fd05b81ffe50fec48bd801140f7
Search Googleby EAN or by Title
Query Time0.0069139

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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