Image
EAN-130012569524828   EAN-13 barcode 0012569524828
UPC-A012569524828   UPC-A barcode 012569524828
Product NameIce Station Zebra
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDvd
Amazon.comA Buy on Amazon ~ B0006B2A42
Model65248
Price New9.79 US Dollars    (curriencies)
Price Used3.74 US Dollars    (curriencies)
RatingG - General Audiences
IMDbIMDb Link
TrailerWatch The Trailer
Run Time148 minutes
CastRock Hudson, Ernest Borgnine, Patrick McGoohan, Jim Brown
DirectorJohn Sturges
GenreADVENTURE,THRILLER
Run Time148 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
AuthorAlistair MacLean
BindingDvd
Release Year1968
FormatMultiple Formats, AC-3, Closed-captioned, Color, Dolby, Dubbed, NTSC, Subtitled, Widescreen
Run Time148 minutes
FeaturesShrink-wrapped
Long DescriptionCommander James Ferraday, USN, has new orders: get David Jones, a British civilian, Captain Anders, a tough Marine with a platoon of troops, Boris Vasilov, a friendly Russian, and the crew of the nuclear sub USS Tigerfish to the North Pole to rescue the crew of Drift Ice Station Zebra, a weather station at the top of the world. The mission takes on new and dangerous twists as the crew finds out that all is not as it seems at Zebra, and that someone will stop at nothing to prevent the mission from being completed.
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Created07-01-2006
Modified02-06-2019 5:27:51am
MD5deab116eeb19b092da407ed638fa0166
SHA25612edc19211117bef875d147938e05eadd366584b1a443696fb3c33d3acfa2dda
Search Googleby EAN or by Title
Query Time0.0281420

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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