Image
EAN-130010181041709   EAN-13 barcode 0010181041709
UPC-A010181041709   UPC-A barcode 010181041709
Product NameAfta After Shave Skin Conditioner Original 3 oz (Pack of 6)
CategoryBath / Beauty / Hygiene
Short Description8.5Oz
Amazon.comA Buy on Amazon ~ B0000530HH
SKU27753
ModelU-BB-1599
Price New12.60 US Dollars    (curriencies)
Width2.8 inches    (convert)
Height0.9 inches    (convert)
Length4.7 inches    (convert)
Weight154 hundredths pounds    (convert)
BindingHealth and Beauty
Published11/09/2011
FeaturesContains conditioners specially formulated to soothe and relieve skin irritation by shaving Relieves dryness and replaces natural oils Guards against drying effects of sun, wind and weather
Long DescriptionSoothes irritated skin. Afta After Shave Skin Conditioner is a light lotion containing conditioners specially formulated to soothe and relieve skin irritated by shaving. Afta Original has a light masculine scent that is clean and refreshing.
Similar Items0841058005209: Edge Shave Gel for Men Sensitive Skin - 7 Ounce (Pack of 6)
0022200002950: Afta After Shave Skin Conditioner Fresh 3 oz (Pack of 5)
Created07-01-2006
Modified04-28-2020 2:23:52pm
MD542bc3f7cd824820efcdb69e7007bc900
SHA256c57ad8ba728ffffde086f954a88011c6a7777607225efd476002dc94a9a68d71
Search Googleby EAN or by Title
Query Time0.0078230

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.

Close

Search

Close

Share

Close

Dialog