Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. Ampere's CIDR regression infrastructure uses images taken from a variety of sources. In this case, the regression runs in a container. The Hadoop image is a dockerfile built by Ampere Computing which currently uses Apache Hadoop version 3.3.0. Results for the test are found below in the Test Results section of this page.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
This article uses material from the Hadoop Homepage [Apache Hadoop] (https://hadoop.apache.org/) ,which is released under the Creative Commons Attribution-Share-Alike License 3.0.
Here at Ampere we've built an extensive infrastructure focused on Continuous Integration, Delivery, and Regression (called CIDR).
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 and build infrastructure can encounter complexities or unexpected speed bumps. Known incidents and their resolutions will be documented where applicable.
100% Verified / 0% Unverified
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|Basic Functional Test|