Image
EAN-139781440543418   EAN-13 barcode 9781440543418
Product NameMini Donuts: 100 Bite-Sized Donut Recipes To Sweeten Your "Hole" Day
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 1440543410
Price New9.99 US Dollars    (curriencies)
Price Used6.25 US Dollars    (curriencies)
Width0.7 inches    (convert)
Height8.25 inches    (convert)
Length7.25 inches    (convert)
Weight23.2 ounces    (convert)
AuthorJessica Segarra
Page Count176
BindingHardcover
Published11/18/2012
Long DescriptionSay hello to a brand-new way to brighten your morning—or any time of day! Jam-packed with gooey jellies, oozing with rich custards and creams, and covered with mouthwatering toppings, these mini donuts are bursting with big flavor. From recipes for the traditional donuts everyone craves like Chocolate Cake and Powered Sugar to fun, new twists like Chocolate-Bacon-Maple, the donuts in this cookbook will leave you begging for more than just a dozen. Best of all, almost all the recipes can be made in a mini donut maker appliance, a stovetop, or an oven, so all you'll need to create these bite-sized snacks is a hankering for something sweet. Inside this cookbook, you'll find helpful step-by-step instructions and 100 yummy donut recipes, including: Maple-glazed, White chocolate–red velvet, Pineapple upside-down cake, Butterscotch-banana, Chai tea, S'mores With Mini Donuts , you'll never again have to wait in line for your favorite bakery treat!
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Created12-14-2012 2:41:22pm
Modified05-01-2020 4:21:45pm
MD5c988ecba692bd20f85d5ca7ca0771f59
SHA2561049cf740e7414c48bc3cbf2294dac905b3d4fd3a94dce773ff12a934aaf65b8
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Query Time0.0259418

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.

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.

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