Image
EAN-139780794522612   EAN-13 barcode 9780794522612
Product NameDanny The Dragon (Usborne First Reading, Level 3)
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0794522610
SKUACOUK_BOOK_NEW_0794522610
Price New586.33 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
Width5.25 inches    (convert)
Height8 inches    (convert)
Length0.5 inches    (convert)
Weight6.4 ounces    (convert)
AuthorRussell Punter
Page Count48
BindingHardcover
Published06/01/2009
Long DescriptionSome dragons are scary - but not Danny. He loves to help his friends with his fiery breath. But Danny is in for a nasty surprise when a stranger comes to town. This is a humorous story, told with elements of repetition to help beginner readers develop confidence and reading stamina. It is part of the Usborne English Language Learners programme, featuring books from the Usborne Reading Programme, with audio CDs in British and American English, downloadable worksheets and teacher's notes.
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Created10-09-2012 8:06:13am
Modified09-16-2017 4:53:11am
MD5858ee3f27a5572e368a13d0d2282c383
SHA256dd11daa44154e2a2a2061ce2e2d35b76fdafe3547930e1d15c1afc3c1c3e022a
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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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