Image
EAN-130683904524669   EAN-13 barcode 0683904524669
UPC-A683904524669   UPC-A barcode 683904524669
Product NameSanta Who? / A Chance of Snow
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B005GYXN36
Model683904524669
Price New3.99 US Dollars    (curriencies)
Price Used1.45 US Dollars    (curriencies)
RatingG - General Audiences
IMDbIMDb Link
TrailerWatch The Trailer
Run Time92 minutes
CastLeslie Nielsen, Steven Eckholdt, Robyn Lively, Max Morrow
DirectorWilliam Dear
GenreCOMEDY,FANTASY
Run Time182 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year2000
FormatMultiple Formats, Color, NTSC, Surround Sound
Published10/11/2011
Run Time182 minutes
Long DescriptionSanta Claus develops amnesia after accidentally falling out of his sleigh and only the innocence of a small child can save him. Meanwhile, Santa has to battle the disbelief of a newsman.
Similar Items9780788826078: I'll Be Home For Christmas
0883476148267: Ice Sculpture Christmas
0786936188196: Ernest Saves Christmas
0786936142884: I'll Be Home For Christmas
0767685154687: A Christmas To Remember
0767685154472: Finding Father Christmas
0767685154458: Operation Christmas
0723952079602: A Cinderella Christmas
0683904524652: If You Believe / A Different Kind of Christmas
Created04-17-2012 8:27:42pm
Modified06-01-2019 5:14:28pm
MD5b85ba66244ee4e22e38a263561d28248
SHA2563a6f4dad30796ffa3d0e8014b49c1bc7472aeecd69b5234c172a4cc692c2a083
Search Googleby EAN or by Title
Query Time0.0156369

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.

Close

Search

Close

Share

Close

Dialog