Image
EAN-130025192248405   EAN-13 barcode 0025192248405
UPC-A025192248405   UPC-A barcode 025192248405
Product NameCreature From the Black Lagoon Complete Legacy Collection
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B00L8QP0K0
Model29111549
Price New17.94 US Dollars    (curriencies)
Price Used19.45 US Dollars    (curriencies)
Width5.5 inches    (convert)
Height0.75 inches    (convert)
Length7.75 inches    (convert)
Weight5.76 ounces    (convert)
BindingDvd
Published06/25/2014
Features
  • GIFT SET
  • Run Time:
  • Release Date: 6/25/2014
Long DescriptionThe original Creature from the Black Lagoon is one of the silver screen’s most unforgettable characters and, along with the other Universal Classic Monsters, defined the Hollywood horror genre. The Creature from the Black Lagoon: Complete Legacy Collection includes all 3 films from the original legacy including the gripping classic and the sequels that followed. These landmark motion pictures perfectly blended Universal’s classic monster heritage with the science-fiction explosion of the 1950s and continue to inspire remakes and adaptations that strengthen the legend of the Creature from the Black Lagoon to this day.
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Created02-12-2016 1:51:32pm
Modified02-19-2019 2:35:29am
MD53917c71986df6d48d728a18a26d1bb36
SHA256d2ef8bfa5b4d9415bf9d0be42c8b79b9b99c01f01bf70d5650eb9373f0b597ed
Search Googleby EAN or by Title
Query Time0.0022600

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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