Image
EAN-130851968007026   EAN-13 barcode 0851968007026
UPC-A851968007026   UPC-A barcode 851968007026
Product NameAnother Man's Poison
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B06WRVVV7Y
Price New13.98 US Dollars    (curriencies)
Price Used23.81 US Dollars    (curriencies)
Run Time90 minutes
Aspect Ratio1.33:1
CastAnthony Steel, Barbara Murray, Bette Davis, Emlyn Williams, Gary Merrill
Run Time90 minutes
Width5.3 inches    (convert)
Height0.25 inches    (convert)
Length6.75 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingBlu-ray
Run Time90 minutes
Long DescriptionBlu-ray edition. In her first role since starring as Margo Channing in the Academy Award-winning All About Eve (Best Picture, 1950), Bette Davis plays mystery writer Janet Frobisher, a cold and conniving woman who will stop at nothing to get what she wants - and what she wants at the moment is her secretary's fiancé Larry (Anthony Steel). But Janet's plan hits a snag when her estranged husband shows up unannounced after attempting to rob a bank. Her husband's partner in crime, George (played by real-life husband Gary Merrill), further complicates matters for Janet when he pays her a visit later the same day. Getting rid of one of them proved easy. The other, not so much. Filmed in England and co-produced by Douglas Fairbanks, Jr., Another Man's Poison presents the dynamic Bette Davis at her devious and beguiling best.
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Created04-14-2018 1:52:37am
Modified06-03-2019 2:45:39am
MD5beac897a28625afbf7a8836175e47526
SHA25648b32eaab735ca0b7b6b904c3b0bc33aefc98b8dfdc66599504b9e3f6fd21d97
Search Googleby EAN or by Title
Query Time0.0024521

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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