EAN-139780811877893   EAN-13 barcode 9780811877893
Product NameDecorate: 1,000 Design Ideas For Every Room In Your Home
CategoryBook / Magazine / Publication
Short DescriptionHeight:1.5 inches / Length:10.7 inches / Weight:3.5 pounds / Width:8.4 inches
Amazon.comA Buy on Amazon ~ 0811877892
Price New19.99 US Dollars    (curriencies)
Price Used6.74 US Dollars    (curriencies)
Width1.13 inches    (convert)
Height11 inches    (convert)
Length8.75 inches    (convert)
Weight56 ounces    (convert)
AuthorHolly Becker, Joanna Copestick
Page Count288
Long DescriptionIn Decorate , the world's top designers and leading decor experts including Kelly Wearstler, Amy Butler, Jonathan Adler, and many others come together to share over 1,000 professional tips, ideas, and solutions for every room and every budget. Written and compiled by Holly Becker, founder of the hugely popular design blog Decor8, and Joanna Copestick, acclaimed lifestyle writer, this intensive home dcor program combines beautiful inspiration with nuts-and-bolts how-to for stunning results. More than 500 gorgeous color photographs provide motivation while line illustrations, checklists, shortcuts, and floor plans make it easy to get started. For those looking to make the most of their home and create stylish interiors, Decorate is the start-to-finish resource to keep on the bookshelf for years to come.
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Created11-20-2012 5:39:52pm
Modified05-01-2020 2:52:23am
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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.