Image
EAN-130191329015216   EAN-13 barcode 0191329015216
UPC-A191329015216   UPC-A barcode 191329015216
Product NameChicago Fire Season Five
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B071HLF13N
Price New20.23 US Dollars    (curriencies)
Price Used17.82 US Dollars    (curriencies)
Run Time922 minutes
Aspect Ratio1.78:1
CastEamonn Walker, Jesse Spencer, Lauren German, Monica Raymund, Taylor Kinney
GenreDramas
Run Time922 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
FormatBox set, Color, NTSC, Subtitled, Widescreen
Published04/27/2018
Run Time922 minutes
FeaturesShrink-wrapped
Long DescriptionUnited in the face of peril, the brave firefighters, rescue squad members, and paramedics of Chicago Firehouse 51 are pulled apart by issues beyond their control in the red-hot fifth season of Chicago Fire. Firehouse Lt. Matt Casey (Jesse Spencer) and Gabriela Dawson (Monica Raymund) work to build a safe home for their growing family, even as their life-saving jobs demand their full attention. Rescue Squad Lt. Kelly Severide (Taylor Kinney) risks it all—and faces the consequences—while the crew confronts monumental changes. From Primetime Emmy Award-winning executive producer Dick Wolf (Law & Order) comes all 22 explosive episodes presented back-to-back for uninterrupted viewing.
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Created04-12-2018 1:54:11am
Modified06-03-2019 1:13:35pm
MD5e70a2480c7790be48e49c6a96d7688d2
SHA256b7ab86d31f41f8a14999efc0005abd7a27cace0e7146d0448a85c9acc1990a5b
Search Googleby EAN or by Title
Query Time0.0198121

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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