Image
EAN-139786305428053   EAN-13 barcode 9786305428053
Product NameAdventures In Babysitting
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ 6305428050
Model2250893
Price New3.74 US Dollars    (curriencies)
Price Used1.49 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time102 minutes
Aspect Ratio1.85:1
CastElisabeth Shue, John Chandler, Keith Coogan, Penelope Ann Miller, Vincent DOnofrio
DirectorChris Columbus
GenreAction/Adventure
Run Time102 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year1987
FormatMultiple Formats, Widescreen, Color, Dolby, NTSC, Closed-captioned
Published12/24/2011
Run Time102 minutes
FeaturesShrink-wrapped
Long DescriptionChris Parker agrees to babysit after her "dream" date stands her up. Expecting a dull evening, Chris settles down with three kids for a night of TV... and boredom. But when her frantic friend Brenda calls and pleads to be rescued from the bus station in downtown Chicago, the evening soon explodes into an endless whirl of hair-raising adventures! Babysitter and kids leave their safe suburban surroundings and head for the heart of the big city, never imagining how terrifyingly funny their expedition will become!
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Created09-20-2017 11:17:09am
Modified05-01-2020 9:13:59pm
MD5478d66bfb46377783fa8bf4b815c2860
SHA25652bea1ad589530ce2d874de1735f2fff100d68ecd40fd17bb593aa3e383a9ba5
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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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