Image
EAN-130025192031885   EAN-13 barcode 0025192031885
UPC-A025192031885   UPC-A barcode 025192031885
Product NameKnowing
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.25 pounds
Web Link
Amazon.comA Buy on Amazon ~ B001GCUO02
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time121 minutes
CastNicolas Cage, Chandler Canterbury, Rose Byrne, Lara Robinson
DirectorAlex Proyas
GenreDRAMA,MYSTERY,SCI-FI
Release Year2009
Long DescriptionIn the fall of 1959, for a time capsule, students draw pictures of life as they imagine it will be in 50 years. Lucinda, an odd child who hears voices, swiftly writes a long string of numbers. In 2009, the capsule is opened; student Caleb Koestler gets Lucinda's "drawing" and his father John, an astrophysicist and grieving widower, takes a look. He discovers dates of disasters over the past 50 years with the number who died. Three dates remain, all coming soon. He investigates, learns of Lucinda, and looks for her family. He fears for his son, who's started to hear voices and who is visited by a silent stranger who shows him a vision of fire and destruction. What's going on?
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Created07-19-2009
Modified05-01-2019 9:39:38am
MD516b6272def2ec212f9718eeb56157974
SHA256cd644f79d24574b128cd14db0ee832a1a21e3daf0c7894c71d0a5e10f03141cb
Search Googleby EAN or by Title
Query Time0.0228021

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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