Image
EAN-130883929520121   EAN-13 barcode 0883929520121
UPC-A883929520121   UPC-A barcode 883929520121
Product NameTwo Women
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B071YFYJ93
Price New9.11 US Dollars    (curriencies)
Price Used5.80 US Dollars    (curriencies)
CastAlexander Baluev, Anna Astrakhanceva, Anna Levanova, Ralph Fiennes, Sylvie Testud
Width7.5 inches    (convert)
Height5.4 inches    (convert)
Length0.7 inches    (convert)
Weight2.72 ounces    (convert)
BindingDvd
FormatColor, NTSC
Run Time100 minutes
FeaturesBrand New in box. The product ships with all relevant accessories
Long DescriptionWhat it creates, love can also destroy. That much is clear in Two Women, as love and desire forge and raze relationships on a lush Russian estate. This adaptation of Ivan Turgenev's play A Month in the Country centers around the lovely Natalya as she seeks passion outside a lackluster marriage. Though dashing Mikhail (Ralph Fiennes)couldn't be more different from her wealthy older husband, Natalya spurns his attempts at flirtation. Instead she's darkly drawn to her son's young tutor Aleksei, and she's not the only one. Her teenage stepdaughter Vera is smitten as well, and the two women find themselves ensnared in a complex web of unrequited love, guilt, lust and jealousy whose consequences will shake their world to its core.

Russian with English subtitles.
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0738329028923: Three Sisters
Created11-02-2017 9:23:56pm
Modified05-12-2019 9:31:32am
MD5f2af670d967f8e49fa735bf24ace9ceb
SHA2565dd88cc6e59117ee3b9ae5ee7727cff499b49dceca3a50fd9e9ad03d1f2cccd5
Search Googleby EAN or by Title
Query Time0.0085478

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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