Image
EAN-139780741453150   EAN-13 barcode 9780741453150
Product NameThe Starlight Pub Chaos
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0741453150
SKUIQ-9780741453150
Price New10.68 US Dollars    (curriencies)
Price Used11.79 US Dollars    (curriencies)
Width0.52 inches    (convert)
Height8.5 inches    (convert)
Length5.51 inches    (convert)
Weight10.24 ounces    (convert)
AuthorC. C. Straub
Page Count237
BindingPaperback
Published04/24/2009
FeaturesUsed Book in Good Condition
Long DescriptionThe year is 1921-1922 in New York City. Amidst Irish prejudice, strife, and romance, the O Malley family finds their dilapidated sandwiched tenement circumstances gradually change by their driven-daughter Darmeen. Her aim is to bring them out of these ghetto-like living ways. Darmeen is always appreciated for her efforts, but her wild younger sister; Maureen, is after what her sister has including her new husband, Shawn O Donnell. Since she was fourteen and maturing she eyed her sister and Shawn dance at the Irish jigs (held in the back of the tenements in the nicer weather) and decides she wants him too. Her mother Sarah is ready to pull her hair out with Maureen s sly gimmicks .
Created11-12-2012 1:20:00am
Modified09-21-2017 12:57:22pm
MD5a7d4b088bca5469c183cc767472add22
SHA256c42fbd61133337023cae91eeb2380ffda8c7a80c6612755322b5fe1287bd8863
Search Googleby EAN or by Title
Query Time0.0054660

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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