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EAN-139780755348398   EAN-13 barcode 9780755348398
Product NameInstruments Of Darkness
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0755348397
SKUMON0000526975
Price New46.56 US Dollars    (curriencies)
Price Used0.72 US Dollars    (curriencies)
Width6.5 inches    (convert)
Height9.53 inches    (convert)
Weight22.88 ounces    (convert)
AuthorImogen Robertson
Page Count384
BindingHardcover
Published05/14/2009
Long DescriptionDaphne du Maurier meets CSI in this exhilarating debut Thornleigh Hall, seat of the Earl of Sussex, dominates its surroundings. Its heir is missing, and the once vigorous family is reduced to a cripple, his whore and his alcoholic second son, but its power endures. Impulsive Harriet Westerman has felt the Hall's menace long before she happens upon a dead man bearing the Thornleigh arms. The grim discovery cries out for justice, and she persuades reclusive anatomist Gabriel Crowther to her cause, much against his better judgement; he knows a dark path lies before those who stray from society's expectations. That same day, Alexander Adams is killed in a London music shop, leaving his young children orphaned. His death will lead back to Sussex, and an explosive secret that has already destroyed one family and threatens many others.
Created11-14-2012 7:57:46pm
Modified01-13-2014 2:40:36am
MD5763e098ef54b2e5be940859a5b56b770
SHA256cb6778a4d84d9c849f1bc81aee2d6f6717a95dd2e74a7b7f3252a80919446f45
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Query Time0.0062182

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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