hadoop-common-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Sanjay Radia (JIRA)" <j...@apache.org>
Subject [jira] Created: (HADOOP-5071) Hadoop 1.0 Compatibility Requirements
Date Fri, 16 Jan 2009 18:34:59 GMT
Hadoop 1.0 Compatibility Requirements

                 Key: HADOOP-5071
                 URL: https://issues.apache.org/jira/browse/HADOOP-5071
             Project: Hadoop Core
          Issue Type: Sub-task
            Reporter: Sanjay Radia
            Assignee: Sanjay Radia

The purpose of this Jira is to decide on  Hadoop 1.0 Compatibility requirements
A proposal is described below that was discussed on email alias core-dev@hadoop.apache.org

Release terminology used below:

*Standard release numbering: major, minor, dot releases*
* Only bug fixes in dot releases: m.x.y
** no changes to API, disk format, protocols or config etc. in a dot release
* new features in major (m.0) and minor (m.x.0) releases

*Hadoop Compatibility Proposal*
- *1 API Compatibility*
No need for client recompilation when upgrading across minor releases (ie. from m.x to m.y,
where x <= y)
Classes or methods deprecated in m.x can be removed in (m+1).0
Note that this is stronger than what we have been doing in Hadoop 0.x releases.
	This is fairly standard compatibility rules for major and minor releases.

- *2 Data Compatibility*
-- Motivation: Users expect File systems preserve data transparently across releases.
-- 2.a HDFS metadata and data can change across minor or major releases , but such changes
are transparent to user application. That is release upgrade must automatically convert the
metadata and data as needed. Further, a release upgrade must allow a cluster to roll back
to the older version and its older disk format. (rollback needs to restore the orignal data
not any updated data).
-- 2.a-WeakerAutomaticConversion:
Automatic conversion is support across a small number of releases. If a user wants to jump
across multiple releases he may be forced to go through a few intermediate release to get
to the final desired release.

- *3 Wire Protocol Compatibility*
We offer no wire compatibility in our 0.x release today.
-- Motivation: The motivation *isn't* to make the hadoop protocols public. Applications will
not call the protocol directly but through a library (in our case FileSystem class and its
implementations). Instead the motivation is that customers run multiple clusters and have
apps that access data across clusters. Customers cannot be expected to update all clusters
-- 3.a Old m.x clients can connect to new m.y servers, where x <= y but the old clients
might get reduced functionality or performance. m.x clients might not be able to connect to
(m+1).z servers
-- 3.b. New m.y clients must be able to connect to old m.x server, where x< y but only
for old m.x functionality.
Comment: Generally old API methods continue to use old rpc methods. However, it is legal to
have new implementations of old API methods call new
rpcs methods, as long as the library transparently handles the fallback case for old servers.
-- 3.c. At any major release transition [ ie from a release m.x to a release (m+1).0], a user
should be able to read data from the cluster running the old version.
--- Motivation: data copying across clusters is a common operation for many customers. For
example this is routinely at done at Yahoo; another use case is HADOOP-4058. Today, http (or
hftp) provides a guaranteed compatible way of copying data across versions. Clearly one cannot
force a customer to simultaneously update all its Hadoop clusters on to a new major release.
 We can satisfy this requirement via the http/hftp mechanism or some other mechanism.
-- 3.c-Stronger
Shall we add a stronger requirement for 1. 0 : wire compatibility across major versions? That
is not just for reading but for all operations. This can be supported by class loading or
other games.
Note we can wait to provide this when 2. 0 happens. If Hadoop provided this guarantee then
it would allow customers to partition their data across clusters without risking apps breaking
across major releases due to wire incompatibility issues.
--- Motivation: Data copying is a compromise. Customers really want to run apps across clusters
running different versions.

This message is automatically generated by JIRA.
You can reply to this email to add a comment to the issue online.

View raw message