Image
EAN-139780375902970   EAN-13 barcode 9780375902970
Product NameMagic Tree House Fact Tracker #2: Knights and Castles: A Nonfiction Companion to Magic Tree House #2: The Knight at Dawn
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionLibrary Binding
Amazon.comA Buy on Amazon ~ 037590297X
SKU599233
Price New16.00 US Dollars    (curriencies)
Price Used3.00 US Dollars    (curriencies)
Width0.58 inches    (convert)
Height8.54 inches    (convert)
Length5.56 inches    (convert)
Weight7.84 ounces    (convert)
AuthorMary Pope Osborne
Page Count128
BindingLibrary Binding
Published08/08/2000
Long DescriptionTrack the facts with Jack and Annie!

When Jack and Annie got back from their adventure in Magic Tree House #2: The Knight at Dawn, they had lots of questions. How were castles built? What was it like to live inside a castle? How did boys train to become knights? Did horses really wear armor? Find out the answers to these questions and more as Jack and Annie track the facts.

Filled with up-to-date information, photos, illustrations, and fun tidbits from Jack and Annie, the Magic Tree House Fact Trackers are the perfect way for kids to find out more about the topics they discovered in their favorite Magic Tree House adventures. And teachers can use Fact Trackers alongside their Magic Tree House fiction companions to meet common core text pairing needs.
 
Have more fun with Jack and Annie on the Magic Tree House® website at MagicTreeHouse.com!


From the Trade Paperback edition.
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Created02-26-2012 7:26:26pm
Modified04-26-2017 6:11:09pm
MD5707cc8bd239496d594c7cf42a8a7354d
SHA256681846330d39a0045b517ce0abd8b757a3716321169f32d37d9239a1ef8e886f
Search Googleby EAN or by Title
Query Time0.0045018

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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