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EAN-130010228109256   EAN-13 barcode 0010228109256
UPC-A010228109256   UPC-A barcode 010228109256
Product NameChase Champion Enamel 10.5oz Gold Metallic
LanguageEnglish
CategoryHardware
Amazon.comA Buy on Amazon ~ B0018N78GC
Model925
Price New40.00 US Dollars    (curriencies)
Width5.75 inches    (convert)
Height8.44 inches    (convert)
Length8.5 inches    (convert)
Weight580 hundredths pounds    (convert)
BindingTools & Home Improvement
FeaturesDry Time: 8 - 12 minutes to touch, handle after 1 hour Recoating: Apply light coats a minimum of 15 minutes apart Cleanup: Mild solvent (mineral spirits, turpentine, paint thinner) Ergonomic SureGRIP packaging Ergonomic Sure GRIP packaging
Long DescriptionChampion Spray on quick-drying, multi-purpose enamels for interior and exterior use provide superior coverage, durability and a rust-resistant finish. Resist chipping and peeling. Sold in ergonomic Sure GRIP packaging. For use on metal, wood, plaster and masonry surfaces that have been primed.
Created07-01-2006
Modified04-28-2020 2:24:02pm
MD54b7af6dd44fdbbda4fefbe14fac3b89f
SHA2567ea76b353fe924dc35d372d8fda2df944dab42ce251fe604d79583a8842d16a6
Search Googleby EAN or by Title
Query Time0.0068650

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.