Image
EAN-130012569746701   EAN-13 barcode 0012569746701
UPC-A012569746701   UPC-A barcode 012569746701
Product NameJoe's Apartment
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B000GAKBMG
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
Run Time80 minutes
CastJerry O'Connell, Megan Ward, Billy West, Reginald Hudlin
DirectorJohn Payson
GenreCOMEDY,FANTASY,MUSICAL,SCI-FI
Run Time80 minutes
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1996
FormatClosed-captioned, Color, Widescreen, NTSC
Run Time80 minutes
FeaturesFresh off the bus from Iowa, Joe (Jerry O'Connell) is just trying to make it in New York, but he's got no job, no girl and no place to live. But life changes for Joe as he finds an apartment, along with 50,000 singing, dancing, wisecracking cockroaches. What bugs Joe is how these cockamamie cucarachas meddle with his romance with the lovely Lily. But he'll eye the world of creepy-crawlies differen
Long DescriptionJoe comes from Iowa to New York and, being short of money, wants to find an apartment with very low rent. His quest is successful, but he must share the residence with some 50,000 cockroaches. The insects turn out to be Joe's best friends.
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Created04-17-2012 7:54:07pm
Modified04-30-2019 5:23:32am
MD5bac150474d9c910de9f5313c5b77d262
SHA256491b666b0b67cbb691e6ae646ef90612fcb49138452ad47cc7e30781ba725b84
Search Googleby EAN or by Title
Query Time0.0197389

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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