Image
EAN-135053083089962   EAN-13 barcode 5053083089962
Product NameTwin Peaks Collection
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B01GRU59XE
Price New21.99 US Dollars    (curriencies)
Price Used17.54 US Dollars    (curriencies)
Run Time1,410 unknown-units
CastKyle MacLachlan, Lara Flynn Boyle, Ray Wise, Sherilyn Fenn
GenreMystery & Thrillers
Run Time1410 unknown-units
Width5.3 inches    (convert)
Height1 inches    (convert)
Length6.75 inches    (convert)
Weight55 hundredths pounds    (convert)
BindingBlu-ray
FormatBlu-ray
Run Time1,410 unknown-units
Long DescriptionAll 30 episodes of David Lynch's landmark murder mystery series. Twin Peaks (population 51,201), a sleepy everytown USA where everyone's lives intersect with everyone else's, lies just five miles from the Canadian border. The town wakes up one morning to find one of its brightest young inhabitants, beautiful Laura Palmer (Sheryl Lee) murdered and wrapped in plastic down by the river. Local Sheriff Harry S. Truman (Michael Ontkean) and tearful Deputy Andy (Harry Goaz) are out of their depth with such a murder case and an FBI agent is assigned to investigate. Youthful, charismatic and somewhat otherworldy in his approach to policing, Agent Dale Cooper (Kyle MacLachlan) arrives to try and solve the case. Cooper's appearance causes ripples in the community and in turn he discovers that Twin Peaks is a small town full of secrets.
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Created04-14-2018 2:56:12am
Modified06-03-2019 1:25:37am
MD58217d42855cc53df34157c8647423243
SHA2565271431d43051cd192fd2485929578ffddf154732bae9d42b23e071e039f1fe5
Search Googleby EAN or by Title
Query Time0.0341680

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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