Image
EAN-13	0031398270331
UPC-A	031398270331
Product Name	Big Sick
Category	Electronics / Photography: A/V Media: Movie / TV
Web Link	www.TheBigSick-Film.de
Amazon.com	Buy on Amazon ~ B07473Y8B1
Price New	11.45 US Dollars    (curriencies)
Price Used	2.48 US Dollars    (curriencies)
Rating	R - Restricted
IMDb
Trailer	Watch The Trailer
Run Time	120 minutes
Cast	Holly Hunter, Kumail Nanjiani, Ray Romano, Zoe Kazan
Director	Michael Showalter
Genre	Comedies
Run Time	120 minutes
Width	5.5 inches    (convert)
Height	0.5 inches    (convert)
Length	7.5 inches    (convert)
Weight	18 hundredths pounds    (convert)
Binding	DVD
Release Year	2017
Format	Color, NTSC, Widescreen
Published	08/29/2018
Run Time	120 minutes
Features	Shrink-wrapped
Long Description	This acclaimed comedy is based on the real-life relationship and culture clash between comedian Kumail Nanjiani and his future wife, Emily Gordon. When Emily contracts a mysterious illness, Kumail has to force himself to face her feisty parents, temper his family's expectations, and follow his heart.
Similar Items	0191329005750: Get Out 0031398277439: Lady Bird 0031398275824: Florida Project 0031398268642: Beatriz At Dinner 0025192396953: Victoria & Abdul 0024543417675: Shape Of Water, The 0024543416265: Three Billboards Outside Ebbing, Missouri 0024543330325: Battle Of The Sexes 0012233421521: Take Me Home 0012233289121: Leonie View 6 more similar items
Created	04-16-2018 12:04:55am
Modified	11-30-2018 10:39:29pm
MD5	c742de83b7e3cb8554306727d642641f
SHA256	c68bcf95b6cbce669b4e5ef4201f70e4a23ae75728995411302bee27ab24b340
Search Google	by EAN or by Title
Query Time	0.0187171

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.