Image
EAN-130025192307355   EAN-13 barcode 0025192307355
UPC-A025192307355   UPC-A barcode 025192307355
Product NameWhen Marnie Was There
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B00ZAZB4T6
Model35222537
Price New9.69 US Dollars    (curriencies)
Price Used7.99 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time103 minutes
Aspect Ratio1.85:1
CastSara Takatsuki , Kasumi Arimura , Nanako Matsushima
DirectorHiromasa Yonebayashi
GenreANIMATION,DRAMA,FAMILY
Run Time103 minutes
Width5.4 inches    (convert)
Height0.55 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year2014
FormatAnimated, Color, Widescreen, NTSC
Published10/06/2015
Run Time103 minutes
FeaturesShrink-wrapped
Long DescriptionUpon being sent to live with relatives in the countryside, an emotionally distant preteen girl becomes obsessed with an abandoned mansion and infatuated with a girl who lives there - a girl who may or may not be real.
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Created04-12-2018 12:13:24am
Modified05-26-2018 10:37:02pm
MD50ebdb08ed80bc7e7dc361d56ac1262e9
SHA2561c6b159903da07170b81ac1b03ff1327fbc4454aceb75dbdc559eb530626a023
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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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