|Product Name||Dead Man's Walk|
|Category||Electronics / Photography: A/V Media: Movie|
|Amazon.com||Buy on Amazon ~ B00005O0SP|
|Price New||18.14 US Dollars (curriencies)|
|Price Used||1.75 US Dollars (curriencies)|
|Run Time||283 minutes|
|Cast||Edward James Olmos, Eric Schweig, F. Murray Abraham, Keith Carradine, Patricia Childress|
|Run Time||283 minutes|
|Width||5.5 inches (convert)|
|Height||0.75 inches (convert)|
|Length||7.5 inches (convert)|
|Weight||40 hundredths pounds (convert)|
|Run Time||283 minutes|
|Long Description||Set in the Texas Republic in the early 1840's, a time in which three cultures - Anglo, Hispanic and Comanche - were in furious conflict over the same harsh land, we are introduced to Augustus McCrae and Woodrow Call, the heroes of LONESOME DOVE. Gus (David Arquette) and Call (Johnny Lee Miller) are young Rangers, ripe for adventure, and they get it with the Texas-Santa Fe expedition, and ill-conceived effort on the part of some freebooters and adventurers to capture Santa Fe and annex New Mexico. Led by the land pirate Caleb Cobb (F. Murray Abraham), and guided by the legendary Bigfoot Wallace (Keith Carradine) and his mountain-man friend Shadrach (Harry Dean Stanton), the group fights several engagements with the great Comanche warchief Buffalo Hump (Eric Schweig), is whittled down by the silent Apache, Gomez (Victor Aaron), and is captured without resistance by the Mexican army. Marched south by a resolute Mexican officer, Captain Salazar (Edward James Olmos), they survive bear attacks, ice storms, and the rigors of the barren desert known as the Jornada del Muerto. In the end, they arrive at the leper colony of San Lazaro, where black and white beans are drawn to determine which of the invaders will live an which will die. Accompanying the men on this trek is the colorful, amply fleshed whore known as the Great Western - Matilda Jane Roberts (Patricia Childress). In Austin, Gus meets the love of his life, Clara Forsythe (Jennifer Garner), and in San Lazaro, they encounter the great English lady, Lucinda Carey (Haviland Morris), who, in the startling climax, helps them survive a last encounter with the wild men, led by the great Comanche, Buffalo Hump.|
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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
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
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.