Image
EAN-139780792848141   EAN-13 barcode 9780792848141
Product NameLongtime Companion
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B000053VAW
Price New84.94 US Dollars    (curriencies)
Price Used37.99 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time100 minutes
Aspect Ratio1.85:1
CastBrian Cousins, Bruce Davison, Campbell Scott, Patrick Cassidy, Stephen Caffrey
GenreDrama
Run Time100 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length9 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDVD
FormatClosed-captioned, Color, Letterboxed, NTSC, Widescreen
Run Time100 minutes
Long DescriptionHailed as the first mainstream film to put a human face on the AIDS epidemic, Longtime Companion is a "remarkable" (Newsweek) drama that takes an honest, unflinching look at how this devastating disease changes everyone it touches. "Intelligent, unflinching and unpatronizing" (Boxoffice), and starring a "terrific ensemble cast" (Time), including OscarÂ(r) nominee* and Golden Globe winner** Bruce Davison, Campbell Scott, Dermot Mulroney and Mary-Louise Parker,this heartrending yet triumphant film "is an illuminating, deeply moving experience" (Los Angeles Times). During the summer of 1981, a group of friends in New York are completely unprepared for the onslaught of AIDS. What starts as a rumor about a mysterious "gay cancer" soon turns into a major crisis as, one by one, some of the friends begin to fall ill, leaving the others to panic about who will be next. As death takes its toll, the lives of these friends are forever redefinedby an unconditional display, of love, hope and courage. *1990: Supporting Actor, Longtime Companion **1990: Supporting Actor, Longtime Companion
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Created08-15-2018 4:27:21pm
Modified05-08-2019 11:35:28am
MD5b3172699e1840fe4ba37f4e8475a5e43
SHA256934f60c49d7cf4f7031e4a7e763d6787f3d7e3ea7bdfa94a5111b485c39c6985
Search Googleby EAN or by Title
Query Time0.0184698

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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