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EAN-139780807745564   EAN-13 barcode 9780807745564
Product NameClass And Schools: Using Social, Economic, And Educational Reform To Close The Black-White Achievement Gap
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0807745561
SKUMON0000007058_LOC
Price New27.24 US Dollars    (curriencies)
Price Used3.28 US Dollars    (curriencies)
Width6.1 inches    (convert)
Height0.59 inches    (convert)
Length9.02 inches    (convert)
Weight11.04 ounces    (convert)
AuthorRichard Rothstein
Page Count224
BindingPaperback
Published05/01/2004
FeaturesUsed Book in Good Condition
Long Description''Rothstein has written a unique and powerful volume that needs to be read by scholars, policymakers, and practitioners who have the capacity to shape tomorrow.'' --From the Foreword by Arthur Levine, President, Teachers College, Columbia University Contemporary public policy assumes that the achievement gap between black and white students could be closed if only schools would do a better job. In this book, Rothstein points the way toward social and economic reforms that would give all children a more equal chance to succeed in school.
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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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