couchbase - Couchbase tutorial - couchbase lite
Couchbase C# SDK :
- Adding the SDK to a project in Couchbase
- Connecting to a Bucket in Couchbase
- Insert Document Sync in Couchbase
Couchbase Connect to couchbase over SSL using SDK :
- Secure connection to couchbase using java sdk with specific cipher suites and protocols in Couchbase
Couchbase Java SDK :
- Adding the SDK to a project in Couchbase
- Checking for document exists in DB in Couchbase
- Connecting to a Bucket in Couchbase
- Creating document with TTL (Time To Live) in Couchbase
Couchbase Introduction
What does Couchbase provide?
Any problem with MongoDB?
Server Utilization: Couchbase vs MongoDB
How does Couchbase store data?
What does “document” mean?
Each key-identified value is a “document” regardless of size
- Document IDs (“keys”) are manually created
- May be arbitrary or informative, but unique within a bucket.
- Hashed to determine the storage location
- Value can be any type
- JSON encoded data, serialized object, XML, text, etc.
- Each document includes metadata
- Unique ID for optimistic concurrency (CAS)
- Optional expiration timestamp (TTL)
- Optional SDK specific flags (ex: type, format)
What are main architectural structures?
Node- A Couchbase server instance
- A scalable, networked set of nodes, sharing distributed buckets
- A logical key space of uniquely keyed documents, evenly distributed across a cluster
- A uniquely keyed value within a particular bucket
How do you access data?
Client applications have four ways to access data
- Read/Write documents by their specific key
- Extremely fast due to working set cache management
- Reads and writes are immediately consistent
- MapReduce Views
- Distributed secondary indexes, built via map-reduce
- Accessed by REST base Views API
- N1QL (“Nickel”) Queries
- SQL superset for indexing and querying JSON documents
- Full text search
- Couchbase FTS (Developer preview on v4.5)
What is the high level architecture? - Couchbase Server Node
Couchbase Server nodes are identical
- Two core components
- Cluster Manager
- Node Manager
- Three independent services
- Data Service
- Index Service
- Query Service
Why Couchbase server so fast?
- Compacted replacement created and put online
- Zero impact on read/write ops due to memory-focused architecture
Mongodb vs Couchbase
Couchbase client node - Workflow
Mongodb client node - Workflow
Cassandra client node - Workflow
Aerospike client node - Workflow
Couchbase VS Cassandra
Couchbase connecting hadoop platform
Nosql database consideration
Couchbase vs CouchDB :
Earlier there was an affinity towards the similar names. Behind each of these names there is a story. Damien Katz initiated the Couchbase, who was actually the founder of CouchDB, a combination of CouchDB and Membase is called Couchbase, leading to make an easily scalable and high performance database.
- Open Source Type
- An apache open source project written in the Erlang language is CouchDB and is freely downloadable by the user. Another open source language is couch base, but it has community, enterprise and developer editions as a group of components.
- Database Lock
- For ensuring the table or a row, DBMS will use lock and that is what traditional DBMS is all about. In the CouchDB there is no lock as it uses a concept called MVCC (Multi Version Concurrency Control). Pessimistic locking is used by Couchbase on the other hand.
- Query language
- Couchbase has its own query language called N1QL, a SQL-like query language for JSON. CouchDB doesn’t have Query language. They both have similar views that is multi-dimensional/geospatial.
- Topology
- Couchbase topology is distributed and it means it is built from forms and scratch a cluster of nodes. The owner for a portion of hash space has each node in the cluster.
- On the other hand Couch DB is imitated and is master-master replication, making multi-site application easy for deployment.
- In the form of key-document MongoDB is widely used in application development. It has pros and cons over CouchDB and Couch database.