Couchbase Server is an open-source, distributed NoSQL database oriented for documents. Couchbase server provides well-scaled key-value or JSON document access. It supports the Memcached client protocol and provides extra features like disk persistence, data replication, etc.
In 2010, the origination of Couchbase, Membase, was developed by a company called NorthScale which was founded by developers from Memcached project. In February, 2011, the Membase project founders and Membase, Inc. merged with CouchOne (a company with many engineers behind CouchDB) as a new company called Couchbase, Inc. In January 2012, Couchbase Server 1.8 was released and 1.8 was the first version after rename from Membase. In December 2012, Couchbase Server 2.0 was released. New features like JSON new document store, indexing and querying, incremental MapReduce and replication across data centers are added. The latest version of Couchbase Server is 6.0.0.
The checkpoint inside the Couchbase Server is a record of last sequenceID. The Sequence ID is an internal unique number for every change happened in Couchbase Server with chronological increasing order. The replicator of the Couchbase Server sends the checkpoint of last change to the target at the end of every replication cycle. The target could be any remote Couchbase Server database where the changes are replicated.
Couchbase Server (Enterprise Edition) applies data compression to documents with a 3rd party open-source library Snappy. There are three modes of compression in Couchbase Server. * Off Mode. The Couchbase Server decompresses the document if it is compressed, and stores the uncompressed document in memory but recompresses it when storing on disk. Also, Couchbase server sends the document in uncompressed form. * Passive Mode. When Couchbase Server receives the compressed document, it stores the compressed document in memory and disk. At the same time, the documents are sent in compressed form. * Active Mode. Couchbase Server stores and sends compressed document even if the document is uncompressed.
Couchbase Server offers both optimistic and pessimistic locking to guarantee concurrency. The optimistic locking is implemented with Compare-and-Swap (CAS) value, which is a unique and atomic incrementing identifier inside the metadata of document. Couchbase Server verifies the CAS value before a document is modified. It also supports pessimistic locking which is less commonly used.
The documents stored in Couchbase Server are in JSON or binary format.
As a key-value database, Couchbase Server does not support foreign key.
A few of indexes are available in Couchbase Server: * Primary Index is based on the unique key of every item in a specified bucket. The bucket is introduced in "Storage Model". Primary index contains a full set of keys in a configured key space. * Global Secondary Index (GSI) is the most frequently used index in Couchbase Server. The indexer for GSI creates a B+ tree for fast scans on the index key. Also, there is a Memory-Optimized GSI index which uses the skip-list structure as opposed to B-tree indexes. * Full Text is provided by the Search Service and it contains targets derived from the contents of documents within one or more specified buckets. * View index is generated with fields and information extracted from documents.
Couchbase Server provides read committed isolation at the single document level in default settings. However, by enabling the provided optimistic locking and pessimistic locking, Couchbase Server could achieve serialized isolation of an individual document.
Couchbase Server supports lookup join, index join and ANSI join in its N1QL interface.
Couchbase Server presents a new SQL language called N1QL which is a SQL extension for JSON as the query interface.
Couchbase Server maintains hot data in the memory to achieve high performance. The data which is not recently used will be swapped on to disks.
Couchbase Server stores items in the Buckets. There are two kinds of Buckets in the Couchbase. One is Couchbase Buckets which could reside both in memory and disks. Another is Ephemeral bucket which only stays in the memory.
Couchbase Server uses Couchstore to store its data. Each Bucket (the smallest unit of Couchbase's storage model) is stored as a separate Couchstore file in the file system. B+tree structure is used to provide fast items access. Append-only write model is applied for efficient writes.
A similar feature called "Prepared queries" is supported in Couchbase Server.
Each machine running Couchbase Server is a single node, and multiple nodes could join together as a cluster. Every node of the cluster has a Cluster Manager module for communication. The data inside the cluster is well distributed and replicated over the nodes.
Three views are supported by Couchbase Server: MapReduce views, Spatial views and Global Secondary Indexes (GSI) views. They could be accessed by customized APIs or N1QL interface.
Commercial, Open Source
C, C++, Erlang, Go
Linux, OS X, Windows