Image
EAN-130031398259251   EAN-13 barcode 0031398259251
UPC-A031398259251   UPC-A barcode 031398259251
Product NameWonder
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B07894ZBDN
Price New13.95 US Dollars    (curriencies)
Price Used11.41 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time113 minutes
CastJacob Tremblay, Owen Wilson, Izabela Vidovic, Julia Roberts
DirectorStephen Chbosky
GenreDRAMA,FAMILY
Run Time113 minutes
Width5.75 inches    (convert)
Height0.5 inches    (convert)
Length8 inches    (convert)
Weight50 hundredths pounds    (convert)
BindingDvd
Release Year2017
FormatAC-3, Color, Dolby, NTSC, Subtitled, Widescreen
Published04/13/2018
Run Time113 minutes
FeaturesShrink-wrapped
Long DescriptionBased on the New York Times bestseller, WONDER tells the incredibly inspiring and heartwarming story of August Pullman. Born with facial differences that, up until now, have prevented him from going to a mainstream school, Auggie becomes the most unlikely of heroes when he enters the local fifth grade. As his family, his new classmates, and the larger community all struggle to discover their compassion and acceptance, Auggie's extraordinary journey will unite them all and prove you can't blend in when you were born to stand out.
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Created04-12-2018 12:25:38am
Modified06-06-2019 8:37:35am
MD5809681152380014967acc706dd0815f5
SHA2564bc30b4f4fc00ed6f7c6bcdf18ffebbf280be17dd6469eb3121c63e1e0593bc7
Search Googleby EAN or by Title
Query Time0.0156710

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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