EAN-130783310061861   EAN-13 barcode 0783310061861
UPC-A783310061861   UPC-A barcode 783310061861
Product NameGreenlee 06186 Cablecaster Wire Pulling Tool With Three Darts
CategoryHardware: Tools
Short DescriptionWeight:0.8 pounds
Amazon.comA Buy on Amazon ~ B001HWAGRM
Price New59.00 US Dollars    (curriencies)
Price Used45.86 US Dollars    (curriencies)
Width1 inches    (convert)
Height4.5 inches    (convert)
Length7.5 inches    (convert)
Weight12.8 ounces    (convert)
BindingTools & Home Improvement
  • 50 ft (15 m) range allows for faster installations with fewer pulls
  • Bright yellow body reduces chances of leaving the cable caster behind
  • Glow-in-the-dark darts minimize replacement costs because they are easy to locate
  • Aerodynamic darts provide high accuracy and fast installation
  • Optional flashlight improves visibility
Long DescriptionThe Greenlee cable caster takes running wire to a whole new level. Shoot a dart with an attached string up to 50 feet. 50-foot, 15 m, range allows for faster installations with fewer pulls. Bright yellow body reduces chances of leaving the CableCaster behind. Glow-in-the-dark darts minimize replacement costs because they are easy to locate. Aerodynamic darts provide high accuracy and fast installation. Optional flashlight improves visibility.
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Created11-25-2012 2:58:49am
Modified02-07-2017 1:17:38am
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Query Time0.0101302

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.