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EAN-139780785829959   EAN-13 barcode 9780785829959
Product NameWeapons Of War Bombers & Transport Aircraft 1939-1945
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHeight:0 inches / Length:0 inches / Weight:0 pounds / Width:0 inches
Amazon.comA Buy on Amazon ~ 0785829954
Price New8.95 US Dollars    (curriencies)
Price Used8.82 US Dollars    (curriencies)
Width8.5 inches    (convert)
Height7 inches    (convert)
Length0.5 inches    (convert)
Weight20 ounces    (convert)
Page Count176
BindingHardcover
Published02/28/2013
Long DescriptionPart of the Weapons of War series, this book features more than 150 color and black & white illustrations and photographs as well as detailed specifications about bombers and transport aircraft. Bombers & Transport Aircraft, 1939–1945 brings together the most important bombers and transport planes of World War II in a single, handy volume arranged in alphabetical order. The books includes classics such as the Lancaster heavy bomber, B-17 Flying Fortress, Heinkel He 111, and the Junkers Ju 87 ‘Stuka’ divebomber. Features 150 entries of the most important weapons of the era Every weapon is illustrated with an accurate color artwork Each entry includes a specifications table with essential information such as armament, weight, speed, and range Concise text provides a summary of the design, development, service history, and performance of each weapon
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Created03-08-2013 6:21:13am
Modified05-01-2020 1:30:19am
MD57c26652c32ea066f6cc848a19e982978
SHA256534a971f40f175685a8818ded5e740bbdc958c76a5cdaa5edac76a45597e7517
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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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