FlockDB is originally created by Twitter for getting help in the analysis of various relations in their system. It is an open source distributed graphical database for controlling data at webscale. Maintaining a relationship database is a complicated job particularly when the relationship network grows in volume. In past Twitter, had faced some complicated issues while establishing relations among the account holders particularly when the number of followers and friends grow in size. To overcome these issues, they created FlockDB and solved the problem.


Purpose of FlockDB

Right from the beginning, Twitter experienced numerous storage layers; it included offensive usage of relational tables and key-value loading of deformalized lists. These storage layers were good at the management of write operations or good at summoning giant result groups, but they cannot handle both at the same time.

Just a few years ago, the company realized they need to fulfill the following purpose:

  • Write the easy and simple thing that could be readily effective.
  • Use MySQL in the best possible way to work as a storage engine. The storage engine requires enough memory to work smoothly in every condition.
  • As the volume of the database grows, the DBMS require forming horizontal partitioning so that the system can add more database hardware.
  • The system needed to permit write operations to attain out of order or can be administered more than once.
  • The system should allow failures to result in terminated work,not a lost work.

These goals of the company resulted in the development of FlockDB and since then most of the preexisting problems in the system was readily solved.

What is FlockDB?

FlockDB is a modern need-based database that can store graphical data, but it isn’t a database augmented for graph-traversal processes. As a substitute, FlockDB is adjusted for a vast adjacency list, fast reads and writes, and apage-wise set of mathematical inquiries.It can store graphs as groups of edges between nodes recognized by 64-bit digits. In a social graph environment, these node IDs are actually the user IDs, but in a graphical storage of preferred tweets, the end point may be a tweet ID. Each edge is spotted with a 64-bit spot, used for categorization.

With the deletion of edge, the row isn’t essentially removed from MySQL. On the contrary, it’s placed in a deleted state, which can move the primary key. A primary key is a compound key of the source ID, state, and location. Likewise, account holders who want to remove their account can have the edges placed into an archived state, which can be restored later within a certain time period. In Twitter,a composite primary key and a secondary index are kept for each row. It helps in a predictable performance all the time.

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