EAN-130661799425148   EAN-13 barcode 0661799425148
UPC-A661799425148   UPC-A barcode 661799425148
Product NameMust Have Accessory Kit For Sony Hdr-Xr260v, Hdr-Td20v, Hdr-Cx190, Hdr-Cx210 High Definition Handyca
CategoryElectronics / Photography
Amazon.comA Buy on Amazon ~ B0073IXX10
Price New49.95 US Dollars    (curriencies)
Long Description

Product Description
This Kit Includes Some Of The Essential Accessories You Need To Take Full Advantage Of Your New Sony HDR-XR260V, HDR-TD20V, HDR-CX190, HDR-CX210 High Definition Handycam Camcorder

Kit Includes:
♦ 1) Vidpro - Vidpro Replacemnt NP-FV70 Extended Battery 2300 mAH For Sony Camcorders ACD770
♦ 2) Xtreme - (6FT) HDMI Male to Mini HDMI (Type C) - Connect Your Camera / Camcorder Directly To Your HDTV
♦ 3) Vivitar - USB 2.0 Secure Digital Slim Card Reader/Writer - Transfer files easily and quickly without the need of using your camera/camcorder
♦ 4) Vivitar - Ac/Dc Rapid 110/220 Charger For Sony:FP50FP70FP90FP51FP71FP91FP51DFP71DFP91DFH50FH70FH100FV50/FV70/FV100
♦ 5) Zeikos - Zeikos Deluxe Camcorder Carrying Case CA48B
♦ 6) Sakar - 50" Professional Photo & Video Tripod w/ Case
♦ 7) Zeikos - Deluxe Universal 5" LCD Screen Protectors
♦ 8) Zeikos - Zeikos 3pc Lens Cleaning Kit
♦ 9) ButterflyPhoto - ButterflyPhoto Micro Fiber Cleaning Cloth
♦ 10) Zeikos - Zeikos Mini Tabletop Tripod

Replacement For Sony NP-FV70 2300MAH Extended Life Battery
Ultra High 2300 mAh Power
Lithium Ion Rechargeable Batteries
High Power Capacity For Powerful Image Taking
No Memory Effect Lets You Recharge Partially Drained Batteries Without Reducing Performance.
Can Be Charged Over One Thousand Times
Full 1 Year Warranty

ButterflyPhoto has Offered Top quality products for all digital cameras for over 15 years. Every product is guaranteed to work 100% perfectly and is 100% Brand New in its original Package. Each item includes a Full Worldwide warranty and is 100% sanctioned for safe use.

Created11-22-2012 11:28:31pm
Modified01-01-2014 8:37:56pm
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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 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.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


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.