Image
EAN-130783722713624   EAN-13 barcode 0783722713624
UPC-A783722713624   UPC-A barcode 783722713624
Product NameBoys Will Be Boys
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B0000B1OF7
Price New3.97 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time90 minutes
Aspect Ratio1.33:1
CastJames Williams, Drew Winget, Julie Hagerty, Randy Travis
DirectorDom DeLuise
GenreCOMEDY,FAMILY
Run Time89 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight30 hundredths pounds    (convert)
BindingDvd
Release Year1999
FormatMultiple Formats, Color, Full length, Full Screen, NTSC, Special Edition
Published02/15/2005
Run Time89 minutes
Long DescriptionTwo young brothers talk their strict father Lloyd Clauswell into allowing them to babysit themselves for the first time while their parents attend a corporate barbecue. As Lloyd vies for a promotion from the eccentric company president Mr. Wellington, Lloyd's nemesis Skip Larue hatches a scheme with his sultry fiancé Patsy to frame Lloyd for embezzlement by hiding stolen cash in the Clauswell home. Beginning with an argument over who is really in charge, Matt and Robbie enlist their friends and nearly destroy the house as they battle for control. But they learn the real meaning of "blood is thicker than water" when they must join forces to stop the evil plans of Skip Larue. Police detective Palladino is left to sort out this mess of who did what to whom and why, as he finds out once and for all that when two brothers are left alone, Boys Will Be Boys.
Created05-22-2010
Modified08-26-2018 4:59:11pm
MD548c4f13e7d515e1f8b654c49418e1632
SHA25650a90ce7b7a4dff982f8e02bcfd19677758f38ab02bf281de63375af94e6a175
Search Googleby EAN or by Title
Query Time0.0061190

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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