Image | ![]() |
EAN-13 | 9781404929081 ![]() |
Product Name | Warriors of Heaven and Earth |
Category | Electronics / Photography: A/V Media: Movie / TV |
Web Link | www.sonyclassics.com |
Amazon.com | ![]() |
Price New | 7.00 US Dollars (curriencies) |
Price Used | 1.38 US Dollars (curriencies) |
Rating | R - Restricted |
IMDb | ![]() |
Trailer | Watch The Trailer |
Run Time | 120 minutes |
Aspect Ratio | 2.40:1 |
Cast | Wen Jiang, Kiichi Nakai, Xueqi Wang, Wei Zhao |
Director | Ping He |
Genre | ACTION,ADVENTURE,DRAMA |
Run Time | 120 minutes |
Width | 5.5 inches (convert) |
Height | 0.75 inches (convert) |
Length | 7.5 inches (convert) |
Weight | 24 hundredths pounds (convert) |
Binding | DVD |
Release Year | 2003 |
Format | Multiple Formats, AC-3, Color, Dolby, Dubbed, NTSC, Subtitled, Widescreen |
Run Time | 120 minutes |
Long Description | North of the vast 8th century Tang dynasty Chinese empire, the commercially and culturally priceless silk route is controlled by 36 friendly Buddhist kingdoms. Their are threatened by Turkic nomad tribes, the caravans also by brigand bands. Japanese scholar Lai Qimay not return home until the emperor is satisfied with his missions to retrieve refugees from the barren border lands. The last is competent imperial lieutenant Li, who was proscribed for refusing to execute Turkic prisoners. He now lives among fellow warriors for hire as caravan escorts. Lai Qi and Li reach a gentleman's agreement to postpone their lethal duel till after the safe arrival of a caravan including a young Buddhist monk and his mysterious freight. When Turkic warlord Khan's daughter's hand seals an alliance with brigand sword master An, the only way out is trough the grimly dry Gobi desert. |
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Created | 08-10-2018 12:12:17am |
Modified | 02-23-2019 9:47:30am |
MD5 | feddf68b05f59a026503b74f917a0170 |
SHA256 | c0f39664935dd22a86d5acd4971048ea0beb9bb9d2e1f76f325de5788a615a73 |
Search Google | by EAN or by Title |
Query Time | 0.0205169 |
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.