Image
EAN-135050583001395   EAN-13 barcode 5050583001395
Product NameCatch Me If You Can
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDvd Case
Web Link
Amazon.comA Buy on Amazon ~ B0000A5B5E
Price New28.99 US Dollars    (curriencies)
Price Used2.48 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time141 minutes
Aspect Ratio1.85:1
CastChristopher Walken, Leonardo DiCaprio, Martin Sheen, Nathalie Baye, Tom Hanks
DirectorSteven Spielberg
GenreBIOGRAPHY,CRIME,DRAMA
Run Time141 minutes
BindingDvd
Release Year2002
FormatAnamorphic, Full Screen, NTSC
Run Time141 minutes
Long DescriptionNew Rochelle, the 1960s. High schooler Frank Abagnale Jr. idolizes his father, who's in trouble with the IRS. When his parents separate, Frank runs away to Manhattan with $25 in his checking account, vowing to regain dad's losses and get his parents back together. Just a few years later, the FBI tracks him down in France; he's extradited, tried, and jailed for passing more than $4,000,000 in bad checks. Along the way, he's posed as a Pan Am pilot, a pediatrician, and an attorney. And, from nearly the beginning of this life of crime, he's been pursued by a dour FBI agent, Carl Hanratty. What starts as cat and mouse becomes something akin to father and son.
Similar Items9780792839132: Man in the Iron Mask
9780790795232: Aviator
9780790777733: This Boy's Life
0883929215003: J. Edgar
0883929106127: Inception
0678149167924: Terminal
0085392461929: This Boy's Life
0085391132882: Departed
0024543036654: Cast Away
0001256973674: The Departed
Created09-30-2006
Modified04-27-2018 3:01:52am
MD5a5f5e55f645f06ed2bd605556640778b
SHA256828f645a1be9430fa6d7748618618c0898c10710109f0398cc4a4ae843535fd6
Search Googleby EAN or by Title
Query Time0.0195339

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

Close

Dialog