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EAN-130096009321994   EAN-13 barcode 0096009321994
UPC-A096009321994   UPC-A barcode 096009321994
Product NameWings Over Water (Dvd)
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.2 pounds
Amazon.comA Buy on Amazon ~ B0009XRZHO
Long DescriptionWings Over Water tells the fascinating story of naval aviation's critical role in making the U.S. a world power. Film highlights include archival footage of some of the most terrifying and intense airspace battles fought and the intriguing interviews of the veterans who took part in them. This is the story of naval aviation from its conception to the important role it played in battles fought, won, and lost, all the while examining American foreign policy, foreign relations, and long-simmering international conflict. An evocative, powerful, and informative documentary, Wings Over Water is the story behind the story: how and why America developed maritime aviation technology, what it meant to our past, and what it means to our future. This product is manufactured on demand using DVD-R recordable media. Amazon.com's standard return policy will apply.
Similar Items9780783130460: Afterburn
0018713551597: Great Planes
Created05-22-2010
Modified04-29-2020 11:20:06am
MD5513d7fe6eda20287f521f9016b1a6cc2
SHA256ea1aa98185f847c3f3bc47b7dfeb6d0a93785932f37017659567498d51a0954b
Search Googleby EAN or by Title
Query Time0.0104849

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.