Image
EAN-139780783255682   EAN-13 barcode 9780783255682
Product NameWonderland
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000056N2Z
Model2219809
Price New2.95 US Dollars    (curriencies)
Price Used1.49 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time109 minutes
Aspect Ratio2.35:1
CastShirley Henderson, Gina McKee, Molly Parker, Ian Hart
DirectorMichael Winterbottom
GenreDRAMA
Run Time109 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.75 inches    (convert)
Weight24 hundredths pounds    (convert)
BindingDvd
Release Year1999
FormatMultiple Formats, Closed-captioned, Color, Dolby, NTSC, Widescreen
Published08/24/2004
Run Time109 minutes
FeaturesFactory sealed DVD
Long DescriptionThrough a series of vignettes, Wonderland focuses on the dreams, conflicts and weekend escapades of three sisters, Debbie (Shirley Henderson), Nadia (Gina McKee) and Molly (Molly Parker). Their quest is universal and eternal: the search for contentment in this world. Molly, full of uncertainty, is due to have her first baby any day. Debbie, with a nine-year-old at home, still spends her nights on the town. Nadia lives alone and is in search of love and companionship. Three women. Three very different lives all inexorably and beautifully interwoven into a single tapestry of love, pain and pure joy.
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Created12-31-2013 12:49:09am
Modified04-27-2018 2:34:48am
MD586f2c6d35c4ed53d39f840b64a610999
SHA25693e4f2f2b1e0f74c5d7c394e07a899e14e91862ee4f0a27e600ead3c6708cbe9
Search Googleby EAN or by Title
Query Time0.0275049

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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