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EAN-130004339628119   EAN-13 barcode 0004339628119
UPC-A004339628119   UPC-A barcode 004339628119
Product NamePineapple Express
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B001J9KJ4I
SKU0043396281196-11
Model4444888
Price New1.95 US Dollars    (curriencies)
Price Used1.42 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time111 minutes
Aspect Ratio2.40:1
CastGary Cole, James Franco, Seth Rogen
DirectorDavid Gordon Green
GenreACTION,COMEDY,CRIME
Run Time229 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year2008
FormatMultiple Formats, AC-3, Closed-captioned, Color, Dolby, Dubbed, NTSC, Subtitled, Widescreen
Published02/05/2019
Run Time229 minutes
FeaturesShrink-wrapped
Long DescriptionLazy court-process clerk and stoner Dale Denton has only one reason to visit his equally lazy dealer Saul Silver: to purchase weed, specifically, a rare new strain called Pineapple Express. But when Dale becomes the only witness to a murder by a crooked cop and the city's most dangerous drug lord, he panics and dumps his roach of Pineapple Express at the scene. Dale now has another reason to visit Saul: to find out if the weed is so rare that it can be traced back to him--and it is. As Dale and Saul run for their lives, they quickly discover that they're not suffering from weed-fueled paranoia: incredibly, the bad guys really are hot on their trail and trying to figure out the fastest way to kill them both. All aboard the Pineapple Express.
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Created11-24-2012 5:41:30pm
Modified12-02-2021 12:22:32am
MD515fcace918ec338c7db1b4a8317e10ee
SHA256101fc875d2b72176f607e9b27763d362c14d14faa17e81b0e229a684d8bce6fe
Search Googleby EAN or by Title
Query Time0.0290501

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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