Release Schedule
Release Number | Release Date (Planned) | Release Status | Feature list |
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3.3.0 | 2020-03-15 | Released | - Java 11 runtime support
- HDFS RBF with security
- Support non-volatile storage class memory(SCM) in HDFS cache directives
- Application Catalog for YARN applications
- Scheduling of opportunistic containers
- Support Vector Engine ( a new accelerator hardware) based on pluggable device framework
- Dynamically add or remove auxiliary services
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3.3.1 | 2021-06-15 | Released | - MAPREDUCE-7315 LocatedFileStatusFetcher to collect/publish IOStatistics
- HDFS-15759 EC: Verify EC reconstruction correctness on DataNode
- HDFS-15711 Add Metrics to HttpFS Server
- HADOOP-17292 Using lz4-java in Lz4Codec
- HADOOP-17125 Using snappy-java in SnappyCodec
- HADOOP-17076 ABFS: Delegation SAS Generator Updates
- HADOOP-16916 ABFS: Delegation SAS generator for integration with Ranger
- HADOOP-16830 Add Public IOStatistics API
- HADOOP-16730 ABFS: Support for Shared Access Signatures (SAS)
- HADOOP-15891 Provide Regex Based Mount Point In Inode Tree
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3.3.2 | 2022-03-03 | Released |
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3.3.3 |
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Release Tasks
- Read this first: HowToRelease
- Before doing the preparation tasks in the above articles, we have to do the following tasks:
- Create 3.4.0 and 3.3.1 versions in COMMON/HDFS/YARN/MAPREDUCE projects
- Announce the process as the past RMs did. For example:
- "We will cut branch-3.3 and branch-3.3.0 in this weekend."
- "branch-3.3 is cut, please commit a change to branch-3.3 if you want to fix the issue in 3.3.x."
- "branch-3.3.0 is cut, please do not commit a change to branch-3.3.0 unless it is a blocker/critical issue."
3.3.1 Blocker/Critical issues
key |
summary |
type |
created |
updated |
due |
assignee |
reporter |
priority |
status |
resolution |
JQL and issue key arguments for this macro require at least one Jira application link to be configured
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