Image
EAN-130191329065266   EAN-13 barcode 0191329065266
UPC-A191329065266   UPC-A barcode 191329065266
Product Name2 Fast 2 Furious
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B07G1XX3QH
Price New14.32 US Dollars    (curriencies)
Price Used13.31 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
Run Time108 minutes
Aspect Ratio2.35:1
CastChris Ludacris Bridges, Cole Hauser, Eva Mendes, Paul Walker, Tyrese Gibson
Run Time108 minutes
Width5.5 inches    (convert)
Height0.75 inches    (convert)
Length7 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingBlu-ray
Format4K
Run Time108 minutes
Long DescriptionThe adrenaline-fueled thrill ride that began with The Fast and the Furious takes an explosive new turn in 2 Fast 2 Furious! Now an ex-cop on the run, Brian O'Conner (Paul Walker) turns to outlaw street-racing. When the Feds strongarm him back, O'Conner's no-rules, win-or-die skills are unleashed against an international drug lord. With his velocity-addicted buddy (Tyrese) riding shotgun, and a drop-dead gorgeous undercover agent (Eva Mendes) dialing up the heat, 2 Fast 2 Furious accelerates the action into a desperate race for survival, justiceā€¦and mind-blowing, jaw-dropping speed!
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Created09-06-2018 12:46:50am
Modified05-16-2019 5:55:33am
MD51222e66b1fb772b5900ad3ae39f91e67
SHA2565a2a89fce3844998309e2a5a159e4b107ec51d3c924c8364885feb2389549f46
Search Googleby EAN or by Title
Query Time0.0020542

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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