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EAN-139780767856126   EAN-13 barcode 9780767856126
Product NameStand By Me
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ B00003CXIP
SKU0043396055179ORING
Model2226235
Price New4.25 US Dollars    (curriencies)
Price Used1.39 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time89 minutes
Aspect Ratio1.85:1
CastCorey Feldman, River Phoenix, Wil Wheaton
DirectorRob Reiner
GenreADVENTURE,DRAMA
Run Time89 minutes
Width5.25 inches    (convert)
Height0.25 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1986
FormatMultiple Formats, Closed-captioned, Color, NTSC, Special Edition, Subtitled, Widescreen
Published11/27/2007
Run Time89 minutes
FeaturesShrink-wrapped
Long DescriptionIt's the summer of 1959 in Castlerock, Oregon and four 12 year-old boys - Gordie, Chris, Teddy and Vern - are fast friends. After learning of the general location of the body of a local boy who has been missing for several days, they set off into the woods to see it. Along the way, they learn about themselves, the meaning of friendship and the need to stand up for what is right.
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Created10-07-2013 12:48:24am
Modified07-02-2023 12:09:09am
MD50a13e0ba9d37a608ccd565a4760b244e
SHA2565f6fede8ab5f3ce9efd25079a2ba10de0d047c4bcedff1056763cec7b04f3a30
Search Googleby EAN or by Title
Query Time0.0362051

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.