Image
EAN-139780792852735   EAN-13 barcode 9780792852735
Product NameMr. Saturday Night
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionHeight:7.5 inches / Length:5.5 inches / Weight:0.25 pounds / Width:0.5 inches
Amazon.comA Buy on Amazon ~ B000063JDN
SKU10-IW68-FUXJ
Price New2.25 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time119 minutes
Aspect Ratio1.85:1
CastBilly Crystal, David Paymer, Julie Warner, Helen Hunt
DirectorBilly Crystal
GenreCOMEDY,DRAMA
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight3.2 ounces    (convert)
BindingDvd
Release Year1992
FormatMultiple Formats, Anamorphic, Closed-captioned, Color, Dolby, Full Screen, Subtitled, Widescreen, NTSC
Run Time119 minutes
Long DescriptionBuddy Young was the comic's comic, beloved by everyone. Now, playing to miniscule crowds in nursing homes, it seems like everybody but Buddy realizes that he should retire. As Buddy looks for work in show business, he realizes that the rest of the world has forgotten the golden days of Buddy Young, and that there just may not be room in the business for an old comic like himself.
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Created07-17-2013 12:42:15am
Modified04-26-2018 11:48:49pm
MD55a6b5f9171eb5c7c1f6fc195b270dc4e
SHA256f1da6cb3729f78439a552b9448e9cdb36a2bf97f8994c973b789fd31d274cc85
Search Googleby EAN or by Title
Query Time0.0270300

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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