Image
EAN-139780788849244   EAN-13 barcode 9780788849244
Product NameThe Alamo (Widescreen)
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ B0002DRDBY
SKUN02-B02-S01-0075
Model2259666
Price New1.99 US Dollars    (curriencies)
Price Used0.90 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time137 minutes
Aspect Ratio2.35:1
CastBilly Bob Thornton, Dennis Quaid, Jason Patric, Jordi MollÃ, Patrick Wilson
DirectorJohn Lee Hancock
GenreAction/Adventure
Run Time137 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDVD
Release Year2004
FormatMultiple Formats, Anamorphic, Closed-captioned, Color, Dolby, NTSC, Subtitled, Widescreen
Published09/02/2012
Run Time137 minutes
FeaturesShrink-wrapped
Long DescriptionFrom the studio that brought you PEARL HARBOR ... Academy Award(R) winner Billy Bob Thornton (SLING BLADE, Best Adapted Screenplay, 1996; BAD SANTA), Dennis Quaid (THE ROOKIE), and Jason Patric (RUSH) team up for the acclaimed action epic about one of the most important events in American history! It's the heroic tale of the 200 brave men who made the ultimate sacrifice in the name of freedom defending a small Texas fort for 13 days against an entire army! Commanded by three men -- Lt. Col. William Travis (Patrick Wilson), James Bowie (Patric), and David Crockett (Thornton) -- their against-all-odds courage at the Alamo would forever live on as a rallying cry for liberty and independence!
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Created02-20-2013 2:50:31am
Modified08-29-2018 10:20:16pm
MD58f76d0de75bdbde765ae24ab51a2f09d
SHA256bc00be79eac14fa4dc8100827e005be2bbe7b78a9c4ab60f607abf8fe793b324
Search Googleby EAN or by Title
Query Time0.0212488

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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