Image
EAN-135014437804631   EAN-13 barcode 5014437804631
Product NameAirplane!
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000058E3C
Price New5.37 US Dollars    (curriencies)
Price Used0.98 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
Run Time88 minutes
Aspect Ratio1.78:1
CastJulie Hagerty, Kareem Abdul-Jabbar, Leslie Nielsen, Lloyd Bridges, Robert Hays
DirectorJim Abrahams, David Zucker, Jerry Zucker
GenreCOMEDY
Run Time88 minutes
BindingDvd
Release Year1980
FormatNTSC
Run Time88 minutes
Long DescriptionThis spoof comedy takes shots at the slew of disaster movies that were released in the 70s. When the passengers and crew of a jet are incapacitated due to food poisoning, a rogue pilot with a drinking problem must cooperate with his ex-girlfriend turned stewardess to bring the plane to a safe landing.
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Created11-06-2012 2:45:34pm
Modified04-27-2018 1:57:07am
MD5821d867726ae9b2b4bc3780f2812675e
SHA256f6490d7e3b0d8c7a9549f139e3a893b33eee92207ca21eaa3f02d59d5f8111a4
Search Googleby EAN or by Title
Query Time0.0201960

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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