Image
EAN-130086162162688   EAN-13 barcode 0086162162688
UPC-A086162162688   UPC-A barcode 086162162688
Product NameTrue Lies
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:1 pounds
Amazon.comA Buy on Amazon ~ B00026ZG10
SKUDS28972
Model2232863
Price New6.60 US Dollars    (curriencies)
Price Used1.77 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time141 minutes
Aspect Ratio2.35:1
CastArnold Schwarzenegger, Bill Paxton, Jamie Lee Curtis, Tia Carrere, Tom Arnold
DirectorJames Cameron
GenreACTION,COMEDY,THRILLER
Run Time141 minutes
Width5.5 inches    (convert)
Height0.75 inches    (convert)
Length7.5 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingDvd
Release Year1994
FormatMultiple Formats, Color, NTSC, Widescreen
Published05/06/2014
Run Time141 minutes
FeaturesFactory sealed DVD
Long DescriptionA Washington wife discovers her computer-salesman husband is a spy out to stop nuclear terrorists.
Similar Items0012569757684: Collateral Damage
0012236210245: Total Recall / Terminator - Judgment Day
0012236200062: Total Recall
0012236130437: Red Heat
0012236124740: Total Recall
0012236119579: Total Recall
0012236045502: The Running Man
0011891930512: Dragon Lee: Collector's Edition (Dragon Lee VS Five Brothers / The Clones Of Bruce Lee / Champ Against Champ / King Fu Fever)
0011891701488: Blown Away / The Killer Elite / Betrayed
0002519331262: Arnold Schwarzenegger Comedy Favorites Collection
View 23 more similar items
Created07-01-2006
Modified05-31-2019 8:13:32pm
MD531dc6ebf73bb7a3420f6a5ad809acad3
SHA256dee5c254c6bf9b6ad537d1e8515c54965b0823b4795b512ef8a0de6a9ff149d9
Search Googleby EAN or by Title
Query Time0.0188820

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