Image
EAN-139780448102139   EAN-13 barcode 9780448102139
Product NameThe Three Bears
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0307021408
SKU805102436
Price New2.50 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width0.19 inches    (convert)
Height8 inches    (convert)
Length6.56 inches    (convert)
Weight3.52 ounces    (convert)
Page Count24
BindingHardcover
Published08/07/2012
FeaturesGreat product!
Long DescriptionThis classic Little Golden Book edition of the famous folk tale has had many imitators, but none can measure up to the way illustrator Feodor Rojankovsky brought Goldilocks and the three bears to life. Originally published in 1948, The Three Bears is now back in print for a new generation of fans.
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Created06-29-2012 1:05:00am
Modified10-08-2017 10:59:40pm
MD5aa1753798b5eea5e29298007e252a4d7
SHA2565a7cd6668e3a98c7c623adc7df88d983c866a4ad70f01f75ce439b81626ee390
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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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