Image
EAN-130011301699862   EAN-13 barcode 0011301699862
UPC-A011301699862   UPC-A barcode 011301699862
Product NameChisholms - The Complete Series
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00IU6HPIQ
Price New12.78 US Dollars    (curriencies)
Price Used14.28 US Dollars    (curriencies)
IMDbNot on IMDb
Run Time380 minutes
Aspect Ratio1.33:1
CastRobert Preston, Rosemary Harris
Run Time380 minutes
Weight25 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Dolby, NTSC
Run Time380 minutes
Long DescriptionOne pioneer family's journey west is chronicled in The Chisholms , a sprawling western television series starring Robert Preston (The Music Man) and award-winning stage and screen actress Rosemary Harris. Swindled out of their Virginia property, the Chisholm family, led by proud patriarch Hadley (Preston) and his wife Minerva (Harris), make the trek westward in order to build a new life for themselves in the Oregon Territory. Along the trail the Chisholm clan encounters challenges that threaten not only their safety, but the very fabric of their familial bonds. Created by David Dotort, The Chisholms is an entertaining mix of classic TV western and family-based drama in the vein of Bonanza , on which Dotort was a producer. Saddle up and make the journey with The Chisholms . color
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Created06-19-2018 12:12:56am
Modified04-28-2020 2:32:35pm
MD5ff7660aa2f8523ac47940629bee8b423
SHA256869ffba8ae024fe7ba7315cda0d8c2e66b0395e8d507d62c764aa0eb0633c49e
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Query Time0.0205729

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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