Image
EAN-139780783240954   EAN-13 barcode 9780783240954
Product NameCreature From the Black Lagoon
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ 0783240953
Model2288020
Price New7.49 US Dollars    (curriencies)
Price Used4.97 US Dollars    (curriencies)
Aspect Ratio1.33:1
CastRichard Carlson, Julie Adams, Richard Denning, Antonio Moreno, Nestor Paiva
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.75 inches    (convert)
Weight4 ounces    (convert)
BindingDvd
FormatMultiple Formats, Black & White, Closed-captioned, Dolby, Full Screen, NTSC, Subtitled
Published09/01/2009
Run Time80 minutes
Features
  • Condition: New
  • Format: DVD
  • Black & White; Closed-captioned; Dolby; DVD; Full Screen; Subtitled; NTSC
Long DescriptionScientists drug and capture the creature, who becomes enamored with the head scientist's female assistant (Julie Adams). The lonely creature, "a living amphibious missing link," escapes and kidnaps the object of his affection. Chief scientist (Richard Carlson) then launches a crusade to rescue his assistant ans cast the ominous creature back to the depths from where he came. Well-acted and directed, and with Bud Westmore's brilliantly designed monster, Creature From The Black Lagoon remains an enduring tribute to the imaginative genius of its Hollywood creators.
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Created09-25-2012 7:06:25am
Modified05-22-2019 5:51:33pm
MD53d12d3a4b586b6f23ddab675c21e8a3c
SHA256d30750db3f4c90231ea0edc00be6b153a74563d8806d8dc86625350a57cc0e12
Search Googleby EAN or by Title
Query Time0.0028641

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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