Image
EAN-130043396142459   EAN-13 barcode 0043396142459
UPC-A043396142459   UPC-A barcode 043396142459
Product NameZathura: A Space Adventure
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B000DWMPFI
Price New45.00 US Dollars    (curriencies)
Price Used19.99 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time101 minutes
CastJonah Bobo, Josh Hutcherson, Dax Shepard, Kristen Stewart
DirectorJon Favreau
GenreACTION,ADVENTURE,COMEDY
Run Time101 minutes
Weight46 hundredths pounds    (convert)
BindingVHS Tape
Release Year2005
FormatColor, NTSC
Run Time101 minutes
FeaturesMotion Picture Rating (MPAA) Rated PG for fantasy action and peril, and some language A New Adventure From the World of Jumanji
Long DescriptionDanny and Walter are two brothers who barely get along even while driving their parents to distraction as their older sister tries to ignore them. Despite their squabbling, the brothers manage cooperate enough to play an old mechanical board game named Zathura. However, after their first move, they find that the game has apparently flung them, their sister and their entire house into outer space. Furthermore, the brothers surmise the only way to return home is to finish the game. However with almost every move, new dangers arise as the siblings find themselves learning to cooperate in ways they never expected as they realize what they mean to each other.
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Created06-15-2018 12:02:15am
Modified04-28-2020 6:27:44pm
MD587c92d78728cb5131e1ec2a5da40236c
SHA25696566df7e5680f193592a1ff20b4d511e7fe00f9994efceeeb77be22945c5936
Search Googleby EAN or by Title
Query Time0.0227580

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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