Couchbase is an open-source, distributed NoSQL document database. It supports the Memcached client protocol and provides extra features like disk persistence, data replication.
In 2010, the initial version of Couchbase, originally called Membase, was developed at 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, Membase was renamed to Couchbase Server.
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 the Snappy third-party library. 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.
Optimistic Concurrency Control (OCC)
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.
B+Tree Skip List Hash Table Inverted Index (Full Text)
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 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.
https://github.com/couchbase/manifest
https://docs.couchbase.com/home/index.html
Couchbase, Inc.
2010
Membase
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