Big table

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Adhinarayanan Ramanathan

Google BigTable is a highly scalable database system that is not relational. It distributes data across servers for load balancing. Rows are stored in lexicographic order and partitioned into tablets distributed across servers. Queries retrieve results from minimal tablets. The system is easy to use, with a simple data model and queries that can be performed with Query or GQLQuery classes.

Google BigTable (highly scalable system)

Why? ,[object Object]

BigTable? ,[object Object],[object Object],[object Object],[object Object]

How its solving the scalability…? ,[object Object],[object Object],[object Object],[object Object]

How easy to use? class FIFA(db.Model): eMailId = db.StringProperty(default= 'Anonymous') country = db.StringProperty() comments = db.StringProperty() …………… def save( self, userId, choice, comments): fifa = FIFA() fifa.eMailId = userId fifa.country = choice fifa.comments = comments db.put(fifa) demo

Queries in BigTable ,[object Object],[object Object],[object Object],[object Object],[object Object]

Query Class ,[object Object],query = FIFA.all() query.filter( 'country', country) rs = query.fetch(fetchSize) Example:-

GQLQuery Class ,[object Object],query = GqlQuery ( " SELECT * FROM FIFA WHERE country = :1 ") rs = query.fetch(fetchSize) Example:-

Thank you.

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Big table

1. Google BigTable (highly scalable system)

2.

3.

4.

5. How easy to use? class FIFA(db.Model): eMailId = db.StringProperty(default= 'Anonymous') country = db.StringProperty() comments = db.StringProperty() …………… def save( self, userId, choice, comments): fifa = FIFA() fifa.eMailId = userId fifa.country = choice fifa.comments = comments db.put(fifa) demo

6.

7.

8.