|Product Name||Victims: An Alex Delaware Novel (Alex Delaware Novels)|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 0739369105|
|Price New||17.33 US Dollars (curriencies)|
|Price Used||12.95 US Dollars (curriencies)|
|Long Description||Unraveling the madness behind L.A.’s most baffling and brutal homicides is what sleuthing psychologist Alex Delaware does best. And putting the good doctor through his thrilling paces is what mystery fiction’s #1 bestselling master of psychological suspense Jonathan Kellerman does with incomparable brilliance. Kellerman’s universally acclaimed novels blend the addictive rhythms of the classic police procedural with chilling glimpses into the darkest depths of the human condition. For the compelling proof, look no further than Victims—Kellerman at his razor-sharp, harrowing finest.|
Not since Jack the Ripper terrorized the London slums has there been such a gruesome crime scene. By all accounts, acid-tongued Vita Berlin hadn’t a friend in the world, but whom did she cross so badly as to end up arranged in such a grotesque tableau? One look at her apartment–turned–charnel house prompts hard-bitten LAPD detective Milo Sturgis to summon his go-to expert in hunting homicidal maniacs, Alex Delaware. But despite his finely honed skills, even Alex is stymied when more slayings occur in the same ghastly fashion . . . yet with no apparent connection among the victims. And the only clue left behind—a blank page bearing a question mark—seems to be both a menacing taunt and a cry for help from a killer baffled by his own lethal urges.
Under pressure to end the bloody spree and prevent a citywide panic, Milo redoubles his efforts to discover a link between the disparate victims. Meanwhile, Alex navigates the secretive world of mental health treatment, from the sleek office of a Beverly Hills therapist to a shuttered mental institution where he once honed his craft—and where an unholy alliance between the mad and the monstrous may have been sealed in blood. As each jagged piece of the puzzle fits into place, an ever more horrific portrait emerges of a sinister mind at its most unimaginable—and an evil soul at its most unspeakable. “This one was differe
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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
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
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.