cassandra architecture internals

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Internal Architecture For Cassandra database:

Cassandra is build to manage big data workloads among multiple nodes with no single point of failure.
Its architecture is depend on the understanding of system and hardware failures can and do exist.
Cassandra is a row-oriented database.
Cassandra is build to manage big data.
Cassandra’s main characteristic is to store data on multiple nodes with no single point of failure.
The reason for this kind of Cassandra’s architecture was that the hardware failure can happened at any time. Any node can be down.

Cassandra is build in distributed architecture.In case of failure data stored in another node can be used.
Cassandra saves data in various nodes with a peer to peer distributed fashion framework.
All the nodes exchange information with each other using Gossip protocol.
Gossip is a protocol in Cassandra by which nodes can transfer with each other.

Components of Cassandra:

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Cassandra large objects:

All header information variables become static attached to your primary key.
Parcel information will become non-static variables.
Your clustering column will identify each parcel data object.
This way you should get all parcel information belonging to a header with just one lookup. (There are many examples out there in the web, describing this pattern).
Generally speaking, it’s never a good idea to build relationships in Cassandra with the use of multiple tables.
If there’s no way out use data duplication to achieve “single read get’s all” queries.

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Cassandra database software

Apache Cassandra is a simple and open-source provides NoSQL DBMS build to handle huge volume of data against more fabric servers.It providing high availability with no single point of failure.
The performance of Cassandra place a high value. In 2012, University of Toronto researchers studying NoSQL systems resulted that “Scalability defined there is a clear winner throughout our experiments.Cassandra achieves the largest throughput for the large number of nodes in all experiments” although “it determine at the price of high write and read latencies.”

Main features:

Decentralized

Cluster contain every node has the same role.
There is no single point of failure.
To provides data across the cluster so every node have various data, but there is no master as every node can service if any request.

Supports replication and multi data center replication:

Replication strategies are configurable.
Cassandra is built as a distributed system, for deployment of maximum numbers of nodes across many data centers.
Key features of Cassandra’s distributed architecture are specifically change for multiple-data center deployment, for redundancy, for fail over and disaster recovery.

Scalability:

As new machines are added read and write throughput both increase linearly, with the achieve of no halt or interrupt to applications.

Fault-tolerant

Data is automatically replicated to many nodes for fault-tolerance. Replication across multiple data centers is maintained. Failed nodes can be changed with no downtime.

Tunable consistency

Writes and reads gives a adjustable level of consistency, all the way from “writes never fail” to “block for all replicas to be readable”, with the quorum level in the middle.

MapReduce support

Cassandra has Hadoop integration, with MapReduce support.
There is support also for Apache Pig and Apache Hive.

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