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EAN-139780486418742   EAN-13 barcode 9780486418742
Product NameMarie Antoinette Paper Dolls (Dover Royal Paper Dolls)
CategoryBook / Magazine / Publication
Short DescriptionHeight:10.83 inches / Length:0.16 inches / Weight:0.46 pounds / Width:8.07 inches
Amazon.comA Buy on Amazon ~ 048641874X
Price New2.89 US Dollars    (curriencies)
Price Used1.99 US Dollars    (curriencies)
Width0.15 inches    (convert)
Height10.98 inches    (convert)
Length8.2 inches    (convert)
Weight7.36 ounces    (convert)
AuthorTom Tierney
Page Count32
Long DescriptionIn addition to her role as queen of France, Marie Antoinette (1755–1793) could justly claim to rule the 18th-century fashion world. Directly behind her throne stood a savvy dressmaker, Rose Bertin, who helped transform the young Antoinette from a foreign princess into the epitome of French fashion and the most glamorous woman of her era. Two figures portraying the queen and her dressmaker appear in this lavish paper doll collection, along with fifteen extraordinary costumes. These elegant ensembles attest to Rose Bertin's skills as a designer and her place as an innovator in fashion history. Her shop served as a center for the beau monde, and its displays of garments for an international clientele mark the first recorded showings of a couture collection. No one acted as a more conspicuous model than the ill-fated queen, who abandoned hoop skirts and monumental hairstyles in favor of her trademark style, magnificent renditions of the simple garb worn by shepherdesses and milkmaids. These dazzling costumes, scrupulously researched and meticulously rendered, come with detailed descriptive notes, providing a treasury of historic fashions for paper doll fans and costume enthusiasts.
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Created02-26-2012 8:25:03pm
Modified04-30-2020 9:12:04pm
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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 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.

    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.