Image
EAN-130054961257799   EAN-13 barcode 0054961257799
UPC-A054961257799   UPC-A barcode 054961257799
Product NameMurdoch Mysteries Once Upon a Murdoch Christmas
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B073LBRNJV
Price New12.91 US Dollars    (curriencies)
Price Used11.99 US Dollars    (curriencies)
CastHélène Joy, Jonny Harris, Thomas Craig, Yannick Bisson
GenreKIDS & FAMILY
Width5 inches    (convert)
Height0.5 inches    (convert)
Length7 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
FormatNTSC, Widescreen
Run Time89 minutes
FeaturesMURDOCH MYSTERIES - In the 1890s, William Murdoch uses radical forensic techniques for the time, including fingerprinting and trace evidence, to solve some of the city's most gruesome murders. THE SEASON 10 CHRISTMAS SPECIAL - As Murdoch investigates a train robbery, Inspector Brackenreid orders the formation of a police choir and Dr. Julia Ogden tries to help two orphans who believe she is a fairy tale heroine. SUPERB CAST - Starring Yannic Bisson, Thomas Craig, Helene Joy, and Jonny Harris. SINGLE BLU-RAY - 1 episode on 1 disc, runs 90 minutes. A GREAT GIFT - Get one for the Murdoch fan, or anyone who likes murder mysteries.
Long DescriptionDays before Christmas in Edwardian-era Toronto, Detective William Murdoch (Yannick Bisson) is called to investigate a daring train robbery. When witnesses insist the culprit exhibited superhuman abilities, Constable Crabtree (Jonny Harris, Still Standing) realizes the robber bears a striking resemblance to the title character of his new graphic novel, Jumping Jack. As more robberies targeting gifts from Eaton’s luxury department occur around Toronto, Murdoch and his team are forced to consider the possibility that Crabtree’s character has come to life. As Station House No. 4 contends with the real-life Jumping Jack, Inspector Brackenreid (Thomas Craig, Coronation Street) orders the formation of a police choir, and Dr. Julia Ogden (Hélène Joy, Durham County) tries to help two orphans who mistake her for a fairytale heroine. Can Murdoch and his team stop Jumping Jack from stealing Christmas?
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0054961897896: Murdoch Mysteries Collection: Seasons 1-4 [Blu-Ray]
0054961265992: Murdoch Mysteries Home For the Holidays
0054961260799: Midsomer Murders Series 19, Part 2
0054961249794: Murdoch Mysteries, Season 9
Created12-13-2017 10:11:29pm
Modified04-28-2020 9:27:46pm
MD598174db106cf0d616d47fdb456ab3026
SHA256c44648cbbff87eea4cfa2b7eb3642b6a10327a0a650dfe3b32f0d381b7eccf41
Search Googleby EAN or by Title
Query Time0.0125551

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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