Image
EAN-13	9780790741628
Product Name	Lethal Weapon 4 [Vhs]
Language	English
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ 0790741628
SKU	10179204374
Price New	3.98 US Dollars    (curriencies)
Price Used	0.10 US Dollars    (curriencies)
Rating	R - Restricted
Run Time	127 minutes
Cast	Chris Rock, Danny Glover, Joe Pesci, Mel Gibson, Rene Russo
Run Time	127 minutes
Binding	VHS Tape
Format	Closed-captioned, Color, Original recording reissued, Special Edition, NTSC
Published	04/30/1999
Run Time	127 minutes
Features	Lethal Weapon 4 [VHS]
Long Description	With personal crises and age weighing in on them, LAPD officers Riggs and Murtaugh must contend with a deadly Chinese crimelord trying to get his brother out of prison.
Similar Items	0097363348139: Titanic 0096898241830: Apollo 13 0096898162937: Schindler's List 0085391510031: Batman Forever (Full Screen) 0085391247531: Lethal Weapon 3 0085391200031: Batman 0085391187639: Lethal Weapon 2 0085391170938: Lethal Weapon 0043396522336: Cliffhanger 0012257660036: Good Morning, Vietnam View 8 more similar items
Created	03-10-2013 1:51:42am
Modified	02-13-2019 10:34:00am
MD5	502f21b678a88724ddcb2f293b7af193
SHA256	10ad9e88f78180717b688d863c1d815cdcd97ccd1721076de8cc9603c3e453df
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Query Time	0.0298011

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.