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EAN-139780002314114   EAN-13 barcode 9780002314114
Product NameGlory Be
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 0545331803
SKU8355756535
Price New6.35 US Dollars    (curriencies)
Price Used0.95 US Dollars    (curriencies)
Width5.75 inches    (convert)
Height9 inches    (convert)
Length0.75 inches    (convert)
Weight11.2 ounces    (convert)
AuthorAugusta Scattergood
Page Count208
BindingHardcover
Published01/01/2012
Long DescriptionA Mississippi town in 1964 gets riled when tempers flare at the segregated public pool. As much as Gloriana June Hemphill, or Glory as everyone knows her, wants to turn twelve, there are times when Glory wishes she could turn back the clock a year. Jesslyn, her sister and former confidante, no longer has the time of day for her now that she’ll be entering high school. Then there’s her best friend, Frankie. Things have always been so easy with Frankie, and now suddenly they aren’t. Maybe it’s the new girl from the North that’s got everyone out of sorts. Or maybe it’s the debate about whether or not the town should keep the segregated public pool open. Augusta Scattergood has drawn on real-life events to create a memorable novel about family, friendship, and choices that aren’t always easy.
Similar Items9783867870450: Through My Eyes
Created03-15-2013 10:33:20am
Modified04-30-2020 2:43:35pm
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SHA256bc4f8b867888c6149e4e26371ba38fe985a8766e0e3ae477e3783e9d0c2083f7
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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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