Repository: apex-core Updated Branches: refs/heads/master e4af896cb -> c52e17bac
APEXCORE-687 change supported Hadoop v2.6 in docs Project: http://git-wip-us.apache.org/repos/asf/apex-core/repo Commit: http://git-wip-us.apache.org/repos/asf/apex-core/commit/c52e17ba Tree: http://git-wip-us.apache.org/repos/asf/apex-core/tree/c52e17ba Diff: http://git-wip-us.apache.org/repos/asf/apex-core/diff/c52e17ba Branch: refs/heads/master Commit: c52e17bac350f8abb31e894ff130198140bcda2d Parents: e4af896 Author: Dean Lockgaard <[email protected]> Authored: Fri Apr 14 10:14:28 2017 +0900 Committer: Dean Lockgaard <[email protected]> Committed: Fri Apr 14 10:14:28 2017 +0900 ---------------------------------------------------------------------- docs/application_development.md | 14 +++++++------- docs/compatibility.md | 2 +- 2 files changed, 8 insertions(+), 8 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/apex-core/blob/c52e17ba/docs/application_development.md ---------------------------------------------------------------------- diff --git a/docs/application_development.md b/docs/application_development.md index 07cfd81..22fc6d2 100644 --- a/docs/application_development.md +++ b/docs/application_development.md @@ -693,7 +693,7 @@ submitted to the Hadoop cluster and executes as a multi-processapplication on Before you start deploying, testing and troubleshooting your -application on a cluster, you should ensure that Hadoop (version 2.2.0 +application on a cluster, you should ensure that Hadoop (version 2.6.0 or later) is properly installed and you have basic skills for working with it. @@ -917,8 +917,8 @@ educate the reader on Hadoop, but just get the reader acquainted with the terms. We strongly advise readers to learn Hadoop from other sources. -A streaming application runs as a native Hadoop 2.2 application. -Hadoop 2.2 does not differentiate between a map-reduce job and other +A streaming application runs as a native Hadoop 2.x application. +Hadoop 2.x does not differentiate between a map-reduce job and other applications, and hence as far as Hadoop is concerned, the streaming application is just another job. This means that your application leverages all the bells and whistles Hadoop provides and is fully @@ -937,9 +937,9 @@ Hadoop. ### YARN [YARN](http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site)is -the core library of Hadoop 2.2 that is tasked with resource management +the core library of Hadoop 2.x that is tasked with resource management and works as a distributed application framework. In this section we -will walk through Yarn's components. In Hadoop 2.2, the old jobTracker +will walk through Yarn's components. In Hadoop 2.x, the old jobTracker has been replaced by a combination of ResourceManager (RM) and ApplicationMaster (AM). @@ -962,8 +962,8 @@ interacting with NodeManagers to get the allocated containers started. The AM is the starting point of your application and is considered user code (not system Hadoop code). The AM itself runs in one container. All resource management within the application are managed by the AM. This -is a critical feature for Hadoop 2.2 where tasks done by jobTracker in -Hadoop 1.0 have been distributed allowing Hadoop 2.2 to scale much +is a critical feature for Hadoop 2.x where tasks done by jobTracker in +Hadoop 1.0 have been distributed allowing Hadoop 2.x to scale much beyond Hadoop 1.0. STRAM is a native YARN ApplicationManager. #### Node Managers (NM) http://git-wip-us.apache.org/repos/asf/apex-core/blob/c52e17ba/docs/compatibility.md ---------------------------------------------------------------------- diff --git a/docs/compatibility.md b/docs/compatibility.md index 3e62657..17e4a1f 100644 --- a/docs/compatibility.md +++ b/docs/compatibility.md @@ -103,7 +103,7 @@ The artifacts that contain the classes that form the public API as specified abo ###Hardware/Software Requirements -Apex depends on Apache Hadoop. The community intends to support all major Hadoop distros and current versions. Apex currently supports Hadoop 2.2.0 and higher and Java 7 and higher. Apex is written in Java and has been tested on Linux based Hadoop clusters. There are no additional restrictions on the hardware architecture. +Apex depends on Apache Hadoop. The community intends to support all major Hadoop distros and current versions. Apex currently supports Hadoop 2.6.0 and higher and Java 7 and higher. Apex is written in Java and has been tested on Linux based Hadoop clusters. There are no additional restrictions on the hardware architecture. To keep up with the latest advances in hardware, operating systems, JVMs, Hadoop and other software, new Apex releases may require higher versions. Upgrading Apex may require upgrading other dependent software components.
