EAN-139317486001249   EAN-13 barcode 9317486001249
Product NameTrinity Trilogy
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B07CKV1MPW
Price New28.63 US Dollars    (curriencies)
Run Time307 unknown-units
CastBud Spencer, Luciano Rossi, Luigi Bonos, Riccardo Pizzuti, Terence Hill
Run Time307 unknown-units
FormatImport, NTSC, Collector's Edition
Run Time307 unknown-units
  • Trinity Trilogy ( Lo chiamavano Trinità... / Continuavano a chiamarlo Trinità / La collera del vento )
  • Trinity Trilogy
  • Lo chiamavano Trinità... / Continuavano a chiamarlo Trinità / La collera del vento
  • My Name Is Trinity / Trinity Is Still My Name / Revenge Of Trinity
Long DescriptionAustralia released, NTSC/Region 0 DVD: LANGUAGES: English ( Dolby Digital 2.0 ), SPECIAL FEATURES: 3-DVD Set, Collectors Edition, Interactive Menu, Scene Access, SYNOPSIS: 3 Spaghetti Westerns starring Bud Spencer and Terrence Hill. They Call Me Trinity: A drifter comes to town where his brother is sheriff. His brother is actually a robber who broke the real sheriff's leg and left him for dead and became sheriff in order to hide out. They team up against the local land baron who is trying to get rid of the Mormon settlers in a valley he wishes to own. Trinity Is Still My Name: 2 unlikely heroes team up again in this Italian Western. Revenge Of Trinity: This western is set in Valencia Spain at the end of the 19th century and stars Terence Hill as a close-mouthed gunslinger. The bad guy is the local landlord and aristocrat (Fernando Rey), who horribly abuses the labourers in his community. ...Trinity Trilogy ( Lo chiamavano Trinità... / Continuavano a chiamarlo Trinità / La collera del vento ) ( My Name Is Trinity / Trinity Is Still My Name / Revenge Of Trinity )
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0011891980319: Boot Hill
Created09-06-2018 12:50:44am
Modified05-19-2019 9:19:29am
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Query Time0.0018711

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 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.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


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.