Image
EAN-130032429255303   EAN-13 barcode 0032429255303
UPC-A032429255303   UPC-A barcode 032429255303
Product NameThe Ring Two
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B01JCV0WZU
Model42928219
Price New4.21 US Dollars    (curriencies)
Price Used4.20 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time110 minutes
CastNaomi Watts, Simon Baker, David Dorfman, Elizabeth Perkins
DirectorHideo Nakata
GenreHORROR,MYSTERY
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
Release Year2005
FormatAC-3, Color, Subtitled, Widescreen, NTSC
FeaturesShrink-wrapped
Long DescriptionA high school student named Jake tries to make his girlfriend Emily watch a cursed tape. But then Jake finds out that Emily covered her eyes and didn't watch the tape, and then Jake is killed by Samara Morgan (from the first The Ring movie). Rachel Keller learns of Jake's death and finds his twisted body in the back of an ambulance. Rachel then realizes she once again has to save her son Aidan from Samara the evil ghost child.
Similar Items9398710420692: Grudge, The (2004)
8032807005935: The Grudge
0883929313907: Ringu (1998)
0678149043020: The Ring
Created09-23-2017 3:08:28pm
Modified04-02-2018 5:03:26am
MD57bc7da50bcfa167e00e9ed9ba7dbb12b
SHA2566839a92467a068ec8528ba5beaa2c02f04c8fa8159cd309b7ea5cb63a189cf54
Search Googleby EAN or by Title
Query Time0.0128880

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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