Image
EAN-13	9786302825022
Product Name	Damn the Defiant [VHS]
Language	English
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ 6302825024
SKU	9177
Price New	7.96 US Dollars    (curriencies)
Price Used	1.57 US Dollars    (curriencies)
Cast	Alec Guinness, Dirk Bogarde, Maurice Denham, Nigel Stock, Richard Carpenter
Binding	VHS Tape
Format	Color, HiFi Sound, NTSC
Published	07/31/1987
Run Time	101 minutes
Long Description	Alec Guinness must battle a mutinous crew and Napoleon's fleet in the rousing, historical adventureDAMN THE DEFIANT! As commander of the British warship H.M.S. Defiant, the humane Crawford (Guinness) strives to maintain order throughout the ship against the ceaseless brutality of sadistic first mate Scott-Padget (Dirk Bogarde). After Crawford is injured in a fiery battle with a French treasure ship, angry seaman Vizard (Anthony Quayle) leads the crew to mutiny when Scott-Padget takes over. Nowwith Vizard in command, Crawford persuades him to join the British fleet to help fight against France's planned invasion of England in hopes for a mutiny pardon. But when a vengeful sailor murders Scott-Padget, the Defiant crew must decide between saving their country or their own lives.
Similar Items	9786302952582: Sahara [VHS] 9786301971553: Mogambo [VHS] 9786300246799: Von Ryan's Express [VHS] 9786301971164: King Solomon's Mines [VHS]
Created	04-13-2013 12:27:09am
Modified	10-09-2017 11:27:40pm
MD5	8bddbfe1a326974d3c8999de822dd5c1
SHA256	6324458136e8cc248f5911d5bc03a1a6e345de7acd96291d822c0be58d1d8e95
Search Google	by EAN or by Title
Query Time	0.0125949

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.