Image
EAN-130043396208728   EAN-13 barcode 0043396208728
UPC-A043396208728   UPC-A barcode 043396208728
Product NameArlington Road
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ B000QXDFQW
SKU54114
Model043396208728
Price New6.50 US Dollars    (curriencies)
Price Used3.99 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
Run Time117 minutes
Aspect Ratio2.40:1
CastHope Davis, Jeff Bridges, Joan Cusack, Tim Robbins
Run Time117 minutes
Width4.5 inches    (convert)
Height0.25 inches    (convert)
Length7 inches    (convert)
Weight16 hundredths pounds    (convert)
BindingBlu-ray
FormatAC-3, Blu-ray, Color, Dolby, Dubbed, NTSC, Subtitled, Widescreen
Run Time117 minutes
Long DescriptionA gripping contemporary thriller about the terrible truths that can hide behind everyday appearances, Arlington Road is an intense, edge-of-your-seat journey that reveals just how little we know about the world around us. Widowed when his FBI agent wife is killed by a right-wing group, college professor Michael Faraday (Jeff Bridges) becomes obsessed with the culture of these groups, especially when his new neighbors, the all-American Oliver and Cheryl Lang (Tim Robbins, Joan Cusack), start acting suspiciously. With each twist, the mystery deepens and the question looms: is Faraday just consumed by fear and driven by paranoia, or has a lethal conspiracy been born on Arlington Road?
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Created05-22-2010
Modified05-26-2019 4:23:28am
MD56647ae0388e69163d79ed51466b6024f
SHA2566a1a06e098eb20b5f4b486ca7e742f0da7d96f188a00c7059d2bfbe5ebd52e0d
Search Googleby EAN or by Title
Query Time0.0019691

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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