Image
EAN-130011111197459   EAN-13 barcode 0011111197459
UPC-A011111197459   UPC-A barcode 011111197459
Product NameSoldier in the Rain
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short Description78.00 OZ
Amazon.comA Buy on Amazon ~ B002AO7QBA
Model883316174302
Price New7.94 US Dollars    (curriencies)
Price Used11.35 US Dollars    (curriencies)
IMDbIMDb Link
Run Time88 minutes
Aspect Ratio1.85:1
CastJackie Gleason, Steve McQueen, Tuesday Weld, Tony Bill
DirectorRalph Nelson
GenreCOMEDY,DRAMA,ROMANCE
Run Time88 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingDvd
Release Year1963
FormatNTSC
Published06/23/2011
Run Time88 minutes
FeaturesFactory sealed DVD
Long DescriptionSentemental military comedy revolves around two contemporary army buddies, Master Sergeant Maxwell Slaughter (Jackie Gleason), a smooth operator, who supply Sergeant Eustis Clay (Steve McQueen) idolizes and hopes will join him as a civilian in a private business enterprise. Clay endeavors to be a player in the military, just like Slaughter, but it seems as though Clay still has a lot to learn from his mentor. They are joined by Tuesday Weld as a shrill dizzy blonde teenager named Bobby Jo Pepperdine and Tony Bill as bumbling Private First Class Jerry Meltzer, McQueen's screwball sidekick.
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Created06-17-2007
Modified05-20-2019 5:51:34am
MD52bbf4c38badf94ffbdd2558ebff52813
SHA2565d4095d058b504766761bc549aa55eb94f59c3fd600fc2ab3bf2217b74be4bb8
Search Googleby EAN or by Title
Query Time0.0051289

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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