CouchDB: DockerHub Official Image

Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. DockerHub hosts a number of official images for a wide range of software that can be pulled and used anywhere docker is supported. These are a set of images hand selected by a dedicated team at Docker, Inc. More information can be found in the official documentation on Official Images on Docker Hub.

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CouchdbDatabaseDockerHub Official
Overview

CouchDB

Apache CouchDB is an open-source document-oriented NoSQL database, implemented in Erlang.

CouchDB uses multiple formats and protocols to store, transfer, and process its data, it uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API.

CouchDB was first released in 2005 and later became an Apache Software Foundation project in 2008.

Unlike a relational database, a CouchDB database does not store data and relationships in tables. Instead, each database is a collection of independent documents. Each document maintains its own data and self-contained schema. An application may access multiple databases, such as one stored on a user's mobile phone and another on a server. Document metadata contains revision information, making it possible to merge any differences that may have occurred while the databases were disconnected.

CouchDB implements a form of multiversion concurrency control (MVCC) so it does not lock the database file during writes. Conflicts are left to the application to resolve. Resolving a conflict generally involves first merging data into one of the documents, then deleting the stale one.

Other features include document-level ACID semantics with eventual consistency, (incremental) MapReduce, and (incremental) replication. One of CouchDB's distinguishing features is multi-master replication, which allows it to scale across machines to build high-performance systems. A built-in Web application called Fauxton (formerly Futon) helps with administration.


Details

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Test Results
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Test Information

Our testing runs 24/7/365 in our regression infrastructure.

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Basic Functional Test

Verified vs. Unverified

Results are categorized as either 'Verified' or 'Unverified'.

Verified: Everything ran according to plan and results came back positive
Unverified: We couldn't collect a result due to an issue within the test infrastructure. When we root-cause an Unverified result the write-up will appear in the Test Notes section of this page. An unverified test result does not imply an issue with the software under test - it means only that Ampere was unable to confirm one or more steps in our verification process.

Test Notes

Test and build infrastructure can encounter complexities or unexpected speed bumps. Known incidents and their resolutions will be documented where applicable.

📝 DockerHub Introduces Image Pull Limits (2020.11)

Test Systems

All results were collected on Ampere Altra systems running Ubuntu 18.04 using the latest stable Docker release.

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Test Results:Verified TestsUnverifiedCode Change

Ampere CIDR

DockerHub Image Tag - latest

100% Verified/0% Unverified
TestResultMost Recent Hash
Basic Functional Test
Verified
194a4d5

DockerHub Image Tag - 3

100% Verified/0% Unverified
TestResultMost Recent Hash
Basic Functional Test
Verified
194a4d5

DockerHub Image Tag - 2

100% Verified/0% Unverified
TestResultMost Recent Hash
Basic Functional Test
Verified
a0e3f1b

OCI Ampere A1 Compute

DockerHub Image Tag - latest

100% Verified/0% Unverified
TestResultMost Recent Hash
Basic Functional Test
Verified
194a4d5

DockerHub Image Tag - 3

100% Verified/0% Unverified
TestResultMost Recent Hash
Basic Functional Test
Verified
194a4d5

DockerHub Image Tag - 2

100% Verified/0% Unverified
TestResultMost Recent Hash
Basic Functional Test
Verified
a0e3f1b