Image
EAN-139780751530452   EAN-13 barcode 9780751530452
Product NameAll That Remains (A Dr. Kay Scarpetta Mystery)
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 075153045X
SKUMON0000052323
Price New24.46 US Dollars    (curriencies)
Price Used1.59 US Dollars    (curriencies)
Width1.1 inches    (convert)
Height7.01 inches    (convert)
Length4.25 inches    (convert)
Weight57 hundredths pounds    (convert)
AuthorPatricia Cornwell
Page Count448
BindingPaperback
Published04/13/2000
Long DescriptionA killer is stalking young lovers. Taking their lives ...and leaving just one tantalising clue ...When the bodies of young courting couples start turning up in remote woodlands areas, Dr Kay Scarpetta's task as Chief Medical Examiner is made more difficult by the effects of the elements. Eight times she must write that the cause of death is undetermined. But when the latest girl goes missing turns out to be the daughter of one of the most powerful women in America, Kay finds herself prey to political pressure and press harassment. As she starts to investigate, she finds that vital evidence is being withheld from her - or even faked. And all the time a cunning, sadistic killer is still at large . For more about Patricia Cornwell and her books visit her website at www.patricia-cornwell.com
Similar Items9781439189733: Cruel and Unusual
9780820315621: Postmortem (Kay Scarpetta)
9781439148129: Postmortem (Kay Scarpetta)
9780316733151: Postmortem (Kay Scarpetta)
9780425266724: Blow Fly: Scarpetta (Book 12)
9780425225455: Black Notice: Scarpetta (Book 10)
9780425222386: Point of Origin: Scarpetta (Book 9)
9780425218921: Unnatural Exposure: Scarpetta (Book 8)
9780425204696: From Potter's Field: Scarpetta (Book 6)
9780425201442: The Body Farm: Scarpetta (Book 5)
Created11-11-2012 11:10:57am
Modified09-09-2018 9:48:58am
MD532cb8ecafb5b7c76949e80955bf331bd
SHA2568e6d85bc41dbd41329eff19c4227eb9c80867681382981e94b00100ce209d7b9
Search Googleby EAN or by Title
Query Time0.0223420

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.

Close

Search

Close

Share

Close

Dialog