Image
EAN-135018011201908   EAN-13 barcode 5018011201908
Product NameHer Own Rules
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B0000C24LM
Price New49.99 US Dollars    (curriencies)
Price Used19.96 US Dollars    (curriencies)
CastMelissa Gilbert, Jeremy Sheffield, Lorraine Pilkington, Ginny Holder, Dorian Healy
BindingDvd
FormatPAL
Run Time86 minutes
Long DescriptionMelissa Gilbert stars as Marygold/Meredith. A sad and lonely writer returning to her home town in England for the first time since she was about 6 or 7 years old,after being adopted and raised in America. While there she decides to look for her mother's grave,and finds out her memories are not exactly what she thought they were,her mother is alive. She then sets out to find her mother and some answers and finds both. She also falls in love, of course, but has a problem with long term commitments...
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Created07-30-2015 10:06:23pm
Modified04-22-2019 8:39:28pm
MD5bf73909a2b1a41ad7b9d98327f71017c
SHA2564c8c5f5fe970ccd6c4cfe28ef4042a54e0a7f3fe906d9a4354f4f8788075df51
Search Googleby EAN or by Title
Query Time0.0119159

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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