Image
EAN-130011300741548   EAN-13 barcode 0011300741548
UPC-A011300741548   UPC-A barcode 011300741548
Product NameMara Maru
CategoryElectronics / Photography: A/V Media: Movie / TV
Short Description13 oz
Amazon.comA Buy on Amazon ~ B003ODIUZC
Price New12.86 US Dollars    (curriencies)
Price Used14.43 US Dollars    (curriencies)
IMDbIMDb Link
Run Time98 minutes
CastErrol Flynn, Ruth Roman, Raymond Burr, Paul Picerni
DirectorGordon Douglas
GenreADVENTURE,CRIME,DRAMA
Weight156 ounces    (convert)
BindingGrocery
Release Year1952
Published01/10/2014
FeaturesActors: Errol Flynn, Ruth Roman, Raymond Burr, Paul Picerni, Richard Webb Genre: Action/Adventure Run Time: 98:00 Final Format: DVD - NTSC Year: 1952 Aspect Ratio: 4 X 3 FULL FRAME, Original Aspect Ratio - 1.37 Audio: Mono 1.0 - English
Long DescriptionGreg Mason, salvage diver in the Philippines, finds his partner Andy drunk and raving about treasure. Whatever it is, somebody wants it badly enough to kill Andy and frame Mason for murder. Cleared by an insinuating private eye, Mason is immersed in intrigue, with detective Rainier, sinister Benedict, mysterious Orgega, and Andy's comely widow all somehow involved. Soon various parties, not really trusting each other, are on a sea voyage to dive for they know not what...
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0009200003514: Crossed Swords Collectors Edition Digitally Restored ~ Errol Flynn, Gina Lollobrigida
Created06-17-2007
Modified04-28-2020 2:32:30pm
MD5ce16bec1302eedd4fa845ad20efeebb0
SHA25625993e67758bc75004a0a60eb3c6e7a17a584821dc3916f2e0eb453e0d567e1a
Search Googleby EAN or by Title
Query Time0.0147290

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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