Image
EAN-139780747593874   EAN-13 barcode 9780747593874
Product NameBirth Of A Warrior: Spartan 2
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0747593876
SKUNP9780747593874
Price New10.05 US Dollars    (curriencies)
Price Used1.27 US Dollars    (curriencies)
Width0.71 inches    (convert)
Height7.76 inches    (convert)
Length5.12 inches    (convert)
Weight6.88 ounces    (convert)
AuthorMichael Ford
Page Count272
BindingPaperback
Published06/02/2008
Long DescriptionLysander had to leave his roots as a Helot slave far behind him, when he discovered his true identity as the descendant of a Spartan warrior. The training is ruthless and now he faces his toughest challenge. Sent to the mountains with nothing but a goatskin flask, he and two other boys must prove their ability to survive before they can return. Facing starvation, wild animals and the elements, Lysander discovers that his real enemy is in fact one of the other boys, sent to sabotage his trial. From his vantage point in the mountains, Lysander can see another threat on the horizon - the Persians are invading. He must prove his worth as a Spartan and return to the village as soon as possible in order to warn of the attack. But who is Lysander fighting for - to save Spartan honour, or to protect the Helot slaves, whom he used to live among?
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Created11-16-2012 5:25:00pm
Modified07-11-2017 2:08:58pm
MD5599dcd7f47f620f8b635f2c296e7e8da
SHA2560dca54930731904f8b156f85446517e9a27511c7518bad9fa88e24d231005920
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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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