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Hadoop QA commented on HDFS-7285: --------------------------------- \\ \\ | (x) *{color:red}-1 overall{color}* | \\ \\ || Vote || Subsystem || Runtime || Comment || | {color:red}-1{color} | patch | 0m 1s | The patch command could not apply the patch during dryrun. | \\ \\ || Subsystem || Report/Notes || | Patch URL | http://issues.apache.org/jira/secure/attachment/12749207/Consolidated-20150806.patch | | Optional Tests | javadoc javac unit findbugs checkstyle shellcheck | | git revision | HDFS-7285 / 8799363 | | Console output | https://builds.apache.org/job/PreCommit-HDFS-Build/11933/console | This message was automatically generated. > Erasure Coding Support inside HDFS > ---------------------------------- > > Key: HDFS-7285 > URL: https://issues.apache.org/jira/browse/HDFS-7285 > Project: Hadoop HDFS > Issue Type: New Feature > Reporter: Weihua Jiang > Assignee: Zhe Zhang > Attachments: Consolidated-20150707.patch, > Consolidated-20150806.patch, ECAnalyzer.py, ECParser.py, > HDFS-7285-initial-PoC.patch, HDFS-7285-merge-consolidated-01.patch, > HDFS-7285-merge-consolidated-trunk-01.patch, > HDFS-7285-merge-consolidated.trunk.03.patch, > HDFS-7285-merge-consolidated.trunk.04.patch, > HDFS-EC-Merge-PoC-20150624.patch, HDFS-EC-merge-consolidated-01.patch, > HDFS-bistriped.patch, HDFSErasureCodingDesign-20141028.pdf, > HDFSErasureCodingDesign-20141217.pdf, HDFSErasureCodingDesign-20150204.pdf, > HDFSErasureCodingDesign-20150206.pdf, HDFSErasureCodingPhaseITestPlan.pdf, > fsimage-analysis-20150105.pdf > > > Erasure Coding (EC) can greatly reduce the storage overhead without sacrifice > of data reliability, comparing to the existing HDFS 3-replica approach. For > example, if we use a 10+4 Reed Solomon coding, we can allow loss of 4 blocks, > with storage overhead only being 40%. This makes EC a quite attractive > alternative for big data storage, particularly for cold data. > Facebook had a related open source project called HDFS-RAID. It used to be > one of the contribute packages in HDFS but had been removed since Hadoop 2.0 > for maintain reason. The drawbacks are: 1) it is on top of HDFS and depends > on MapReduce to do encoding and decoding tasks; 2) it can only be used for > cold files that are intended not to be appended anymore; 3) the pure Java EC > coding implementation is extremely slow in practical use. Due to these, it > might not be a good idea to just bring HDFS-RAID back. > We (Intel and Cloudera) are working on a design to build EC into HDFS that > gets rid of any external dependencies, makes it self-contained and > independently maintained. This design lays the EC feature on the storage type > support and considers compatible with existing HDFS features like caching, > snapshot, encryption, high availability and etc. This design will also > support different EC coding schemes, implementations and policies for > different deployment scenarios. By utilizing advanced libraries (e.g. Intel > ISA-L library), an implementation can greatly improve the performance of EC > encoding/decoding and makes the EC solution even more attractive. We will > post the design document soon. -- This message was sent by Atlassian JIRA (v6.3.4#6332)