Image
EAN-130738329215101   EAN-13 barcode 0738329215101
UPC-A738329215101   UPC-A barcode 738329215101
Product NamePrizzi's Honor
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B071NWDSCD
Price New17.36 US Dollars    (curriencies)
Price Used12.55 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time130 minutes
CastJack Nicholson, Kathleen Turner, Robert Loggia, John Randolph
DirectorJohn Huston
GenreCOMEDY,CRIME,DRAMA
Run Time130 minutes
Width5.4 inches    (convert)
Height0.45 inches    (convert)
Length6.8 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year1985
FormatAnamorphic, NTSC, Subtitled, Widescreen
Run Time130 minutes
Long DescriptionCharley Partanna is a hit-man who works for the Prizzis, one of the richest crime syndicate families in the country. Unbeknownst to Charley,the Prizzis just hired Irene Walker, a free-lance killer, to eliminate someone who double-crossed them. When Irene and Charley fall in love their jobs become complicated. Their jobs become impossible when each is given a contract that neither can go through with.
Similar Items0888574603816: Harper
0888574603809: Drowning Pool
0888574513832: Man with Two Brains
0888574488567: Night Moves
0738329226848: Woman in the Window
0738329216603: They Shoot Horses, Don t They?
0738329216504: Duel in the Sun
0738329215163: Silkwood
0715515209915: Tom Jones
Created04-27-2018 12:42:02am
Modified06-06-2019 6:45:31pm
MD50eb8d07207bc7a1606566d5f9ee41ca2
SHA256ffde258fbbd760643face145c0d18bdbb11868978b3ef918c320bdb76d2fd044
Search Googleby EAN or by Title
Query Time0.0154521

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.

Close

Search

Close

Share