Image
EAN-139786304613191   EAN-13 barcode 9786304613191
Product NameThe Lost World: Jurassic Park [VHS]
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ 6304613199
SKUJ11025FBATH_FB_08222011
Price New3.95 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time129 minutes
CastArliss Howard, Jeff Goldblum, Julianne Moore, Pete Postlethwaite, Vince Vaughn
DirectorSteven Spielberg
GenreACTION,ADVENTURE,SCI-FI
Run Time129 minutes
BindingVHS Tape
Release Year1997
FormatClosed-captioned, Color, THX, NTSC
Published11/04/1997
Run Time129 minutes
Long DescriptionLIKE NEW from a Private Collection-Viewed ONCE-This is NOT a Re-Issue or Rental-VHS is MINT-The Lost World-Jurassic Park II-Free Delivery Confirmation with Fast Shipping to You !
Similar Items9780783241647: Jaws
9780783216089: Jaws
0786936057720: The Little Mermaid (Fully Restored Special Edition) [VHS]
0097360137637: Raiders Of The Lost Ark
0096898140935: Jurassic Park
0096898097635: Back To The Future Iii
0085391188933: Christmas Vacation 2
0025192148705: Jurassic Park Iii
0025192126291: Jaws
0009689867423: Jurassic Park Iii [Vhs]
View 16 more similar items
Created03-09-2013 1:06:14am
Modified04-27-2018 4:50:17am
MD5cb2ab4def7f73579a8a1c3331b6b37bb
SHA2569855beffe661b06b0d180d7f1d4d43f24c3daeb004d00f7e0f227799dbb7ae30
Search Googleby EAN or by Title
Query Time0.0209141

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