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EAN-139786303662541   EAN-13 barcode 9786303662541
Product NameThe Best of Everything [VHS]
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ 6303662544
SKUVHSUAFZ018AF-9Z
Price New9.99 US Dollars    (curriencies)
Price Used4.97 US Dollars    (curriencies)
CastHope Lange, Stephen Boyd, Suzy Parker, Martha Hyer, Diane Baker
Weight7.36 ounces    (convert)
BindingVHS Tape
FormatClosed-captioned, Color, HiFi Sound, NTSC
Published10/31/1995
Run Time121 minutes
Long DescriptionRona Jaffe's best-selling novel comes to life in this witty tale about the personal and professional lives of the men and women in a New York publishing firm. Heading a huge cast. JOAN CRAWFORD "gives an excellently etched performance" (Hollywood Reporter) as a tough-talking editor who can't seem to win at love. There are a few more interesting stories around the office than there are in the manuscripts at Fabian Publishers. Among the principal players: a new secretary (HOPE LANG) who quickly gets her boss's (CRAWFORD) job and romances a handsome editor (STEPHEN BOYD); a Colorado secretary (DIANE BARKER) who falls for the wrong man (ROBERT EVANS); and a would be actress (SUZY PARKER) who's jilted by a two-timing director (LUIS JOURDAN). Slick and glossy, The Best Of Everything is a panorama of office politics before women's liberation.
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Created03-08-2013 2:30:03am
Modified10-09-2017 11:29:31pm
MD58ac89436c25319ba7e2c0a8221648b5b
SHA2561ce996840ae5704e09ad3df7ef665b0d2e1d4df8190a2b63b87e51a1ca668cce
Search Googleby EAN or by Title
Query Time0.0182891

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.