Image
EAN-139780007203598   EAN-13 barcode 9780007203598
Product NameLibrary Book: The Man Who Walked Between the Towers
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 031236878X
SKU9780312368784
Model9780312368784
Price New2.80 US Dollars    (curriencies)
Price Used2.00 US Dollars    (curriencies)
Width0.12 inches    (convert)
Height11.05 inches    (convert)
Length8.02 inches    (convert)
Weight5.6 ounces    (convert)
AuthorNational Geographic Learning
Page Count44
BindingPaperback
Published06/23/2010
Long DescriptionThe story of a daring tightrope walk between skyscrapers, as seen in Robert Zemeckis' The Walk, starring Joseph Gordon-Levitt. In 1974, French aerialist Philippe Petit threw a tightrope between the two towers of the World Trade Center and spent an hour walking, dancing, and performing high-wire tricks a quarter mile in the sky. This picture book captures the poetry and magic of the event with a poetry of its own: lyrical words and lovely paintings that present the detail, daring, and--in two dramatic foldout spreads-- the vertiginous drama of Petit's feat. The Man Who Walked Between the Towers is the winner of the 2004 Caldecott Medal, the winner of the 2004 Boston Globe - Horn Book Award for Picture Books, and the winner of the 2006 Carnegie Medal for Excellence in Children's Video.
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Created09-22-2012 1:07:50am
Modified04-30-2020 2:47:50pm
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SHA25605a4fb847f3f31efbbf5147f8e2296da202c1d3b06b92cb55a8cb87f91dc538b
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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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