Image
EAN-138717418123444   EAN-13 barcode 8717418123444
Product NameScrubs: Complete Season 5 [2006] (2007) Zach Braff
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000N9COS4
Price New13.83 US Dollars    (curriencies)
Price Used1.79 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time22 minutes
CastDonald Faison, John C. McGinley, Ken Jenkins, Zach Braff
DirectorN/A
GenreCOMEDY,DRAMA
Weight40 hundredths pounds    (convert)
BindingDvd
Release Year20012010
FormatPAL
Run Time528 unknown-units
Long Description"I'm gonna have a good year, aren't I?" J.D. (Zach Braff), now an attending physician at Sacred Heart Hospital, asks in the fifth season's opening episode. All vital signs are good (the series did receive an Emmy nomination for Outstanding Comedy), but longtime Scrubs fans may be forgiven a sense of déjà vu, from J.D.'s whimsical reveries to Dr. Cox's (John C. McGinley) increasingly tiresome rants. The series itself acknowledges the palpable sense of been there, seen that with the clever episode "Déjà vu, Déjà vu." But don't pronounce Scrubs dead just yet. Directed by Braff, "My Way Home," the series' 100th episode, is a brilliantly conceived homage to The Wizard of Oz with J.D. and company finding their hearts, brains, and courage.
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Created02-19-2009
Modified04-27-2018 4:39:44am
MD5a16a98d00acd57241599edb22881407a
SHA2561f91b1dd32dec4f8bed94f1654934b37a91cb85cb9bccaa3c4c1bb14b8f92466
Search Googleby EAN or by Title
Query Time0.0198970

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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