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EAN-139780765224835   EAN-13 barcode 9780765224835
Product NameSpelling Workout Level D Pupil Edition
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHeight:0.5 inches / Length:10.7 inches / Weight:0.7 pounds / Width:8.2 inches
Amazon.comA Buy on Amazon ~ 0765224836
SKU2-0765224836
Price New10.98 US Dollars    (curriencies)
Price Used6.08 US Dollars    (curriencies)
Width0.35 inches    (convert)
Height10.85 inches    (convert)
Length8.2 inches    (convert)
Weight11.2 ounces    (convert)
AuthorModern Curriculum Press
Page Count192
BindingPaperback
Published07/27/2001
FeaturesUsed Book in Good Condition
Long DescriptionSpelling Workout has all the components you need to lead students from simple sound-letter relationships to more complex spelling patterns. Students learn spelling skills based on phonics through unique, cross-curricular reading passages, practice, and high-interest writing activities. Packed with flexible lessons, motivating activites, including fun riddles and puzzles, this dynamic program leads students to spelling success! The Teacher's Edition: Provides detailed lesson plans for either a 3-day or 5-day plan. Offers strategy activities for reinforcing and analyzing spelling patterns. Includes Dictation Sentences for a Pretest and Final Replay Test. Suggests tips for meeting the needs of English language learners. Features Take-It Home masters to help foster home involvement. Follows the same scope and sequence of MCP "Plaid" Phonics.
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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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