EAN-130796520339385   EAN-13 barcode 0796520339385
UPC-A796520339385   UPC-A barcode 796520339385
Product NameCrown Sporting Goods Dry Erase Soccer Coaching Clipboard
CategorySports / Exercise
Amazon.comA Buy on Amazon ~ B00NHLCESA
Price New6.99 US Dollars    (curriencies)
Price Used7.08 US Dollars    (curriencies)
Width0.5 inches    (convert)
Height14 inches    (convert)
Length9 inches    (convert)
Weight11.2 ounces    (convert)
  • Made using the highest quality materials
  • Tested for durability
  • Designed to be safe and unique
  • Crisp, clean lines won't rub, scratch, or wear off
  • Create and erase plays on the fly
  • Help your players visualize spacing and positioning on the pitch
  • Diagram throw-ins and corner kicks, direct game flow
  • 14" x 9", strong clasp for holding papers or markers
Long Description

Simply a must-have for every soccer coach. Slick, smooth and completely erasable, our 14" x 9" clipboards are emblazoned with a full pitch diagram using a special process that won't scratch or rub off through normal use like other boards. During breaks in the game or during practices, a dry erase clipboard makes it easy to create and erase plays on the fly, diagram throw-ins and corners, and help players visualize their positioning on the pitch. For soccer parents, it's a great way to explain and reinforce the fundamentals with your child.

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Created05-04-2017 11:26:45pm
Modified10-10-2017 3:23:46am
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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.