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EAN-130004339629215   EAN-13 barcode 0004339629215
UPC-A004339629215   UPC-A barcode 004339629215
Product NameWackness
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B001J9KJ3E
Model4445276
Price New9.37 US Dollars    (curriencies)
Price Used2.19 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time99 minutes
Aspect Ratio2.35:1
CastBen Kingsley, Josh Peck, Famke Janssen, Olivia Thirlby
DirectorJonathan Levine
GenreCOMEDY,DRAMA,ROMANCE
Run Time99 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length6.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year2008
FormatAC-3, Blu-ray, Dolby, Dubbed, NTSC, Subtitled, Widescreen
Run Time99 minutes
Long DescriptionFriendship, love, and coming of age in New York City, summer of 1994. Luke Shapiro has just graduated from high school, sells marijuana, and trades pot for therapy from a psychologist, Dr. Jeffrey Squires. Luke is attracted to a classmate, Stephanie, who's out of his league and Squires' step-daughter. By July, he's hanging out with Stephanie, taking her on his rounds selling pot out of an ice-cream pushcart. Then things take a turn. In the background, Squires and his wife as well as Luke's parents are having their troubles.
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Created08-02-2018 8:28:12pm
Modified06-05-2019 4:42:53pm
MD5d8e78a3cf4f7045ecc34ae3cd16143e2
SHA256eb7d2691e05c7ef11b12949b41e4f2ee4ed190821df211aebe60f35a69b26d5e
Search Googleby EAN or by Title
Query Time0.0279889

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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