Image | |
EAN-13 | 0859692003659 |
UPC-A | 859692003659 |
Product Name | The Original Pink Box PB18VNIC Pink 18V Cordless NiCad Drill with Battery, Charger, Bits, and Storage Case |
Language | English |
Category | Hardware: Tools |
Short Description | Height:9 inches / Length:9 inches / Width:3 inches |
Amazon.com | Buy on Amazon ~ B00A73GQAI |
Model | PB18VNIC |
Price New | 58.99 US Dollars (curriencies) |
Width | 3 inches (convert) |
Height | 9 inches (convert) |
Length | 9 inches (convert) |
Binding | Tools & Home Improvement |
Features | Forward and reverse action, variable speed 0-900 RPM, 3/8-inch drive keyless chuck, 21 torque settings, 56 assorted driver, drill bits and built-in bit holder, 18-volt nickel-cadmium battery with charger, Blown plastic carrying case |
Long Description | This 18-Volt Cordless Drill features a rechargeable NiCad battery and charger, forward and reverse action, 3/8-Inch drive keyless chuck and built-in bit holder. Other features include 21 torque settings and variable speed 0-900 RPM. Also included are 56 assorted driver and drill bits and a durable pink carrying case. Limited one year warranty. |
Similar Items | 0858574007044: Best Choice 135-Piece Pink Tool Kit with Cordless Screwdriver - All Purpose Household Tool Set in Toolbox Storage Case 0810005020572: The Original Pink Box PB6CLAMP Spring Clamps, Pink, 6-Piece 0810005020275: The Original Pink Box PB36LEVEL 36-Inch Box Level, Pink 0810005020213: The Original Pink Box PB16RM Rubber Mallet, 16-Ounce, Pink |
Created | 12-18-2012 1:12:55am |
Modified | 04-30-2020 8:21:13am |
MD5 | 93762e50c11936981fd13c559e0c964e |
SHA256 | 4bf7024f878fac204a6d7f4f148b529ce6d740a6ce426c0e25d66480e50dfb28 |
Search Google | by EAN or by Title |
Query Time | 0.0149579 |
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.