EAN-135012572010931   EAN-13 barcode 5012572010931
Product NameWinsor & Newton Professional Acrylic Color Paint, 60ml Tube, Buff Titanium
CategoryArts & Crafts
Amazon.comA Buy on Amazon ~ B001U3RBVM
Price New3.00 US Dollars    (curriencies)
Width1.85 inches    (convert)
Height4.57 inches    (convert)
Length1.81 inches    (convert)
Weight1.6 ounces    (convert)
  • Our highest quality professional acrylic with unrivalled color brilliance that stays brilliant when wet & dry
  • Series: 1/Color Code: 60/Color Index: PW6, PY42, PBk 11
  • Permanence: AA/Opacity: Opaque
  • Includes a 2.0oz/60ml tube of Winsor & Newton Professional Acrylic Color
  • Conforms to ASTM D4236
Long DescriptionWinsor & Newton Professional Acrylic (previously known as Artists' Acrylics) is our finest quality acrylic range and represents a breakthrough in acrylic color technology. After extensive research and development, we are proud to present the brightest ever range of Professional Acrylic. By combining our color making experience with the latest developments in resin technology we have taken 'brilliance' to a new level. And that's not all. Not only are our colors brilliant when wet but they remain as bright when dry - so what you see is what you get. Working with artists around the world confirmed that above all else, acrylic artists want the brightest, most vivid colors that do not change as they dry. Our range of Professional Acrylic represents a significant breakthrough in achieving this and much more. Buff Titanium is a warm opaque white color with strong brown undertones.
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0884955001844: Winsor & Newton Artists Acrylic Medium - Matt Medium 250ml
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Created02-15-2013 8:31:51am
Modified05-17-2017 4:59:03am
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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 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.