Image
EAN-139786303101262   EAN-13 barcode 9786303101262
Product NameGrumpy Old Men [VHS]
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ 6303101267
SKU1001-WS1501-A04010-6303101267
Price New0.21 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time103 minutes
CastAnn-Margret, Burgess Meredith, Daryl Hannah, Jack Lemmon, Walter Matthau
DirectorDonald Petrie
GenreCOMEDY,DRAMA,ROMANCE
Run Time103 minutes
Weight46 hundredths pounds    (convert)
BindingVHS Tape
Release Year1993
FormatClosed-captioned, Color, Dolby, NTSC
Published07/09/1999
Run Time103 minutes
Long DescriptionJack Lemmon and Walter Matthau are reunited in this popular 1993 comedy, in which the Odd Couple veterans play John and Max (respectively), a pair of elderly bachelors whose lifelong friendship is based on mutual aggravation and constant bickering. Their competitive natures kick into overdrive when the beautiful Ariel (Ann-Margret) moves into their otherwise snowbound Minnesota neighborhood. She takes a liking to John, but after a lover's spat she also gives Max a chance at romance, and the long-time buddies reach a peak of grumpy rivalry. It's a stretch to think that Ann-Margret's dating choices would be limited to a pair of grouchy codgers, but sarcastic attitude and snappy dialogue made this a surprise hit (followed by a 1995 sequel), and Burgess Meredith adds plenty of spice as Lemmon's amorous old father. Don't forget to watch the hilarious outtakes during the closing credits! --Jeff Shannon
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Created03-08-2013 12:04:51am
Modified04-27-2018 3:34:05am
MD5dc188aa2eebb865900e390b111a180ce
SHA2564ddbb1a094f37699f0c0665f92b1366762a6bf39fca712b18307c89d18508e6f
Search Googleby EAN or by Title
Query Time0.0225060

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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