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EAN-139780761853008   EAN-13 barcode 9780761853008
Product NameForgotten Reformer: Robert Mcclaughry And Criminal Justice Reform In Nineteenth-Century America
CategoryBook / Magazine / Publication
Short DescriptionHeight:9.13 inches / Length:6.1 inches / Weight:1.3 pounds / Width:0.91 inches
Amazon.comA Buy on Amazon ~ 0761853006
SKUACOMMP2_BOOK_USEDGOOD_0761853006
Price New41.89 US Dollars    (curriencies)
Price Used5.51 US Dollars    (curriencies)
Width0.91 inches    (convert)
Height9.15 inches    (convert)
Length6.1 inches    (convert)
Weight21.12 ounces    (convert)
AuthorFrank Morn
Page Count402
BindingPaperback
Published12/22/2010
FeaturesUsed Book in Good Condition
Long DescriptionForgotten Reformer traces criminal justice practice and reform developments in late nineteenth-century America through the life and career of Robert McClaughry, a leading reformer. As a warden of one of America's toughest prisons, as a chief of police of Chicago, as a superintendent of two different reformatories, and as one of the first wardens of the federal prison system, McClaughry developed and led a reform movement that resonates today. As a founding member of the reformatory movement that sought to "save" young first offenders, McClaughry advocated new sentencing structures, probation, parole, and rehabilitative regimes within new institutions for young first offenders called reformatories. McClaughry then successfully got these reformatory ideals placed into adult prisons. In addition, McClaughry became American's main advocate for a criminal identification method called the Bertillon system. He set up the first identification bureaus at the Illinois State Penitentiary, the Chicago police department, and the federal prison at Leavenworth, Kansas and these became models for others across the country. Finally, as a founding member of the National Association of Chiefs of Police (today the International Association of Chiefs of Police) and the National Prison Assocation (today American Corrections Association), McClaughry sought to professionalize police and prison administrators.
Created11-17-2012 8:06:30pm
Modified05-01-2020 1:01:16am
MD5b7ffe5b0698c4689f959bd1564e42c52
SHA25699cac383c50b7dbf90270d8aaaadd3bcd43263b980bf49d84827deffd99722b6
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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
(
    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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