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Zhe Zhang commented on HDFS-7285: --------------------------------- A meeting has been scheduled: * When: Friday Oct. 31st 10am~12pm * Where: Cloudera Headquarter, 1001 Page Mill Road, Palo Alto. Both the lobby (for guests check-in) and the meeting room (Hadoop) are in building #2 * URL: https://cloudera.webex.com/cloudera/j.php?MTID=me26394d0a3559c7a9498f18ad7de8962 * Call-in: 1-650-479-3208 (US/Canada) with access code: 290 472 605. Please drop me a note (zhezh...@cloudera.com) if you prefer a different time. Thanks [~drankye] for the suggestion. The interface of the erasure coding feature potentially has a close relationship with HSM (HDFS-2832) and archival storage (HDFS-6584). We'll make sure to cover this topic in the meeting and share the summary here. > 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: HDFSErasureCodingDesign-20141028.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)