Image
EAN-139780759672796   EAN-13 barcode 9780759672796
Product NameSummer Friends
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0758235070
SKU0759672792
Price New2.00 US Dollars    (curriencies)
Price Used0.25 US Dollars    (curriencies)
Width0.99 inches    (convert)
Height8.26 inches    (convert)
Length5.55 inches    (convert)
Weight11.52 ounces    (convert)
AuthorHolly Chamberlin
Page Count368
BindingPaperback
Published07/01/2011
Long DescriptionOver the course of one eventful summer, 9-year-old native Mainer Delphine Crandall and Maggie Weldon, a privileged girl 'from away, ' become best friends. After graduation, Maggie acquires a lucrative career, and eventually marries. Delphine is drawn back home, her life steeped in family and the Maine community she loves
Similar Items9780758210876: Babyland
9780758265739: The Summer Of Us
9780758214027: Tuscan Holiday
9780690041316: The Irresistible Blueberry Bakeshop & Cafe
9780758214041: One Week In December
9780758214010: The Friends We Keep
9780758290526: Back In The Game
9780758275400: Living Single
9780758275349: The Summer Everything Changed
9780373093359: The Summer Everything Changed
9780758235084: Last Summer
9780758235060: The Family Beach House (A Yorktide, Maine Novel)
Created09-10-2012 6:07:51pm
Modified10-07-2017 5:01:21pm
MD5219219aaa0ffb08e5e616e85ba94b0ae
SHA256d8c178aa9256b3f0f9b3d94ac25d01eb9e3bb4d5b6aaff30af9a5c40c0f333a7
Search Googleby EAN or by Title
Query Time0.0248990

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.

Close

Search

Close

Share