Image
EAN-139780767854825   EAN-13 barcode 9780767854825
Product NameBear in the Big Blue House - Visiting the Doctor With Bear [VHS]
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B00004TJK1
SKUBB-07-12-01-00021
Price New7.84 US Dollars    (curriencies)
Price Used2.97 US Dollars    (curriencies)
Aspect Ratio1.33:1
CastNoel MacNeal, Peter Linz, Vicki Eibner, Tyler Bunch, Lynne Thigpen
BindingVHS Tape
FormatClosed-captioned, Color, Live, NTSC
Run Time30 minutes
Long DescriptionAfter tackling the potty, Bear takes on another childhood fear: the doctor. In two episodes, Bear uses his tender touch and unflappable upbeat attitude to calm his friends when Dr. Hog visits in "A Big Blue House Call." Ojo is especially queasy about the visit, fearing the Mt. Everest of doctor visits--the dreaded shot. Through song and talking about the facts, Bear lets everyone know a checkup is full of good things for you and a shot, if necessary, only hurts for a moment. In "That Healing Feeling," Bear takes Tutter to Dr. Hog's to examine the mouse's crushed tail. Learning how the doctor's tools work, including the x-ray, calms Tutter. Whether your pre-kindergartner will be at ease at the doctor's after watching this video is unknown, but "Bear" fills a void in giving younger children calming information to counter the usual cartoon doctor high jinks. (Ages 3 to 7) --Doug Thomas
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Created10-09-2013 1:31:45am
Modified10-10-2017 9:50:12am
MD5d951ef9675a8551f2fab35621855f371
SHA256a32995b9d554f913add62187c778b9a372cb784db75c71c09194315fb07ee373
Search Googleby EAN or by Title
Query Time0.0188398

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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