Image
EAN-139780790731940   EAN-13 barcode 9780790731940
Product NameMaverick (Snap Case Packaging)
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ 0790731940
SKUN01-B04-S02-0062
Model085391337423
Price New4.88 US Dollars    (curriencies)
Price Used1.30 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
Run Time127 minutes
Aspect Ratio2.35:1
CastAlfred Molina, Graham Greene, James Garner, Jodie Foster, Mel Gibson
Run Time127 minutes
Width5.38 inches    (convert)
Height0.6 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Anamorphic, Closed-captioned, Color, Dolby, Full Screen, Widescreen, NTSC
Published12/31/1997
Run Time127 minutes
Long DescriptionMel Gibson dons cowboy hat, boots and six-guns to play the roguish, sharp-shooting gambler inspired by the classic 1960s TV western. Along with sexy scam artist Jodie Foster and crafty sheriff James Garner (the TV series' Bret Maverick), Gibson enters a high-stakes riverboat poker game. James Coburn and Graham Greene co-star in Richard Donner's amiable sagebrush saga. 127 min. Standard and Widescreen (Enhanced); Soundtracks: English Dolby Digital Surround stereo, French Dolby Digital Surround stereo; Subtitles: English, Spanish, French.
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Created09-25-2012 9:06:07am
Modified08-26-2018 5:17:24pm
MD5406d7d40410d1cefd3df956856efd7a5
SHA256205fcd7c4c0b193c4c3606903aae34e13721dde0e93b755445cd56311ac962ba
Search Googleby EAN or by Title
Query Time0.0224800

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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