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EAN-130025195051910   EAN-13 barcode 0025195051910
UPC-A025195051910   UPC-A barcode 025195051910
Product NamePre-Code Hollywood Collection
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.6 pounds
Amazon.comA Buy on Amazon ~ B001QFFBAM
Long DescriptionFor the first time ever, Universal opens its vaults to bring you 6 classic films from the most decadent era in motion picture history: Pre-Code Hollywood. In 1934, Hollywood was turned upside down by the enforcement of a strict “Production Code†that would change the way movies were made for the next 34 years. During the “pre-Code†period (1929 to mid-1934), censorship barely existed in Hollywood and filmmakers had free reign to make the movies they wanted and the public demanded. No subject was taboo including adultery, murder, or sex. Starring screen legends Cary Grant, Fredric March, Claudette Colbert, Tallulah Bankhead, Randolph Scott, and Sylvia Sidney, the Pre-Code Hollywood Collection forever captures one of the most unique periods in cinema history. The Cheat A compulsive gambler (Tallulah Bankhead) will do anything to pay off her debt - including turning to a wealthy businessman behind her husband’s back. Merrily We Go to Hell An abusive alcoholic (Fredric March) reunites with a woman from his past and drives his wife (Sylvia Sidney) to drastic measures. Hot Saturday Scandal erupts after a young woman (Nancy Carroll) innocently spends the night with a notorious playboy (Cary Grant) and neglects to tell her fiancé (Randolph Scott). Torch Singer After giving up her illegitimate child for adoption, a notorious nightclub singer (Claudette Colbert) attempts to find her daughter through a children’s radio show. Murder at the Vanities While sexy musical revue “The Vanities†captivates an audience on its opening night, a murder investigation takes place backstage. Search for Beauty Olympic swimming champions (Buster Crabbe and Ida Lupino) are tricked into endorsing a racy magazine - and much worse.
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Created01-12-2012 5:27:11am
Modified04-28-2020 4:42:59pm
MD59da4f7a728e1eaef8e480cf9395b697c
SHA2564b7100d4ecae4ac9c87717b9bde83f540d09e54de2a4edd2eab6b21bc0f2474f
Search Googleby EAN or by Title
Query Time0.0306540

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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