Image
EAN-139786302281835   EAN-13 barcode 9786302281835
Product NameYou Were Never Lovelier [VHS]
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ 6302281830
SKUBS21R0308161212436
Price New9.99 US Dollars    (curriencies)
Price Used2.25 US Dollars    (curriencies)
CastFred Astaire, Rita Hayworth, Adolphe Menjou, Isobel Elsom, Leslie Brooks
BindingVHS Tape
FormatBlack & White, HiFi Sound, NTSC
Run Time97 minutes
Long DescriptionThe devil is in the details when it comes to this effervescent Fred Astaire and Rita Hayworth musical. The slight storyline is a hook upon which to hang dance sequences, bits of humor, and songs by Jerome Kern and Johnny Mercer. Set in Buenos Aires, it's a remake of an Argentine feature from the previous year and followed You'll Never Get Rich . Astaire stars as a professional hoofer and Hayworth is Adolphe Menjou's second oldest daughter. The wealthy businessman won't let his youngest daughters marry until Maria (Hayworth) ties the knot. She couldn't care less--until a case of mistaken identity leads her to believe that Robert (Astaire) is in love with her (he's just looking for a job at her father's club). Highlights include a tap dance set to "Shorty George" and the Oscar®-nominated "Dearly Beloved," which is sung by both leads (with Hayworth dubbed by Nan Wynn). --Kathleen C. Fennessy
Similar Items9780800112813: Gilda [VHS]
5014138276171: You'll Never Get Rich [VHS]
Created03-21-2013 5:36:35am
Modified05-01-2020 9:13:40pm
MD5dfeb172e7c3f66b2af7d7ff2b82468b2
SHA2560d2b7b21fabceba65191a1aec1611f7db99022fe4d95d8f51ae44c2b93634493
Search Googleby EAN or by Title
Query Time0.0075891

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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