Image
EAN-139780233973869   EAN-13 barcode 9780233973869
Product NameTop 100 Baby Purees
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 0743289579
SKU194822384
Price New1.98 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width0.7 inches    (convert)
Height7.5 inches    (convert)
Length7.5 inches    (convert)
Weight14.4 ounces    (convert)
AuthorAnnabel Karmel
Page Count128
BindingHardcover
Published03/21/2006
FeaturesWeaning your baby and transitioning to solid foods, Food allergies, Time-saving food preparation tips, Freezing and reheating your homemade baby food, Tricks on finding the hidden nutrition in everyday foods
Long DescriptionBabies grow more rapidly in their first year than at any other time in their lives, so how you feed your newborn will be one of the most important decisions you make for your new baby. Making your own baby food is not only more economical than buying commercial brands, it also assures that your child consumes only the freshest, top-quality ingredients. British television personality and children's nutrition expert Annabel Karmel's essential collection of best-ever purees grants new parents their wish: one hundred quick and easy recipes that will make for a healthy and happy baby. From first tastes and weaning, right through to meals for older babies, all the recipes are suitable for children aged six months and older. And with all these fruit and vegetable favorites, and innovative fish, meat, and chicken purees, the dishes are so tasty you will want to eat them yourself! In addition to easy and delicious recipes, Top 100 Baby Purees also includes information on: Weaning your baby and transitioning to solid foods Food allergies Time-saving food preparation tips Freezing and reheating your homemade baby food Tricks on finding the hidden nutrition in everyday foods Featuring a preface by Dr. Michel Cohen, New York pediatrician and author of The New Basics: A-to-Z Baby & Child Care for the Modern Parent
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Created03-26-2013 6:39:07pm
Modified04-30-2020 5:18:02pm
MD5ca7eae4a81634d3dab4f172fda229c86
SHA256d3ebe7f74dc3c5933a8ae85b6cf856719cf48e67ddd48101e198ae9a38529063
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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.

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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