Image
EAN-139780783227481   EAN-13 barcode 9780783227481
Product NameThe Mummy
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ B00000JQB7
SKU025192032721
Model2288015
Price New7.64 US Dollars    (curriencies)
Price Used3.55 US Dollars    (curriencies)
Aspect Ratio1.33:1
CastBoris Karloff, David Manners, Zita Johann, Edward Van Sloan, Arthur Byron
GenreHORROR
Width5.38 inches    (convert)
Height0.6 inches    (convert)
Length7.5 inches    (convert)
Weight4 ounces    (convert)
BindingDvd
FormatMultiple Formats, Black & White, Closed-captioned, NTSC
Published09/01/2009
Run Time74 minutes
Features
  • HORROR
  • Run Time: 74
  • Release Date: 9/1/2009
  • NR
  • BORIS KARLOFF DAVID MANNERS
Long DescriptionBoris Karloff's legendary performance has become a landmark in the annals of screen history. As the mummy, Im-Ho-Tep, he is accidentally revived after 3,700 years by a team of British archaeologists. It is revealed in a flashback that he was a high priest, embalmed alive for trying to revive the vestal virgin whom he loved, after she had been sacrificed. Alive again, he sets out to find his lost love. Today, over 50 years after The Mummy was first released, this brooding dream-like film remains a masterpiece not only of the genre, but for all time.
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Created11-30-2012 1:36:48am
Modified03-07-2018 4:09:19pm
MD5e068dd86878e85fd77f9f4c2c77306eb
SHA256179ce5efa98f2ccd5f97bd5c2f01cde15bb963ade148597134b5f546d6fa09bb
Search Googleby EAN or by Title
Query Time0.0063169

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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