1. HBase on MapR Lohit VijayaRenu, MapR Technologies, Inc.
HBase contributor day at Yahoo, June

2. Who am I?
Lohit VijayaRenu, Software Engineer at MapR Technologies
MapR
Combines the best of the Hadoop community contributions with significant internally financed infrastructure development to provide complete distribution for Apache Hadoop (

3. HBase on MapR Backups using Snapshots Performance on MapR
Highly available MapR
MapR Control System

4. HBase Backups
"We're trying to come up with right strategy for backing up HBase tables ...Currently, we're employing exports (writing onto HDFS of another cluster directly), but is taking too long (~5 hours to export ~5GB of data)...” Manoj Murumkar   
"...Recently I encountered a problem about data loss of HBase. So it comes to the question that how to backup HBase data to recover table records...What about copy the directory of HBase to another directory in HDFS?... " Liu Xianglong
Source: hbase-user group
Available options
Export/Import
CopyTable
Distcp
Backup from Mozilla
Cluster Replication
Table Snapshots 
Source:

5. MapR Snapshots
HBASE
Entire /hbase can be snapshotted while HBase is running
Snapshots are consistent
Saves space by sharing blocks
Lightning fast
Zero performance loss on writing to original
Scheduled, or on-demand
REST API for creation and deletion of snapshots
READ / WRITE
/hbase
/hbase/.snapshot/Snapshot
/hbase/.snaphsot/Snapshot
/hbase/.snaphsot/Snapshot3
MapR
REDIRECT ON WRITE
FOR SNAPSHOT
Data Blocks A B C C’ D
Snapshot
Snapshot
Snapshot 3

6. MapR Snapshots HBase table in DFS Take snapshot on running HBase
Restore from snapshot

7. MapR Control System Snapshot information Snapshot Schedules
All UI operations have REST APIs
More info at

8. MapR Mirroring Mirror is physical copy of data
Consistent, point-in-time data replication to different cluster
Differential deltas are updated
Compressed and check-summed
Scheduled or on-demand
REST API for setup, start and stop mirror
Production
Backup
Datacenter 1
Datacenter 2
WAN

9. HBase performance
"...Initially, when the table was empty I was getting around 300 inserts per second with 50 writing threads. Then, when the region split and a second server was added the rate suddenly jumped to 3000 inserts/sec per server, so ~6000 for the two servers...“ Eran Kutner "...My scenario is similar, we need under 10k rows, columns and which can have thousands of version with value not greater than 300 bytes...Can we get 40-50k records/sec insertion speed in HBase??...“ Gaurav Vashishth Source: hbase-user group

10. YCSB setup Modified YCSB to use ZooKeeper to have co- ordinated start.
HMaster and RegionServer running on MapR
YCSB Client running on RS nodes
ZooKeeper
YCSB
YCSB
YCSB
YCSB RS RS RS RS
Master
MapR

11. YCSB operations from nodes
YCSB Clients doing inserts from all cluster nodes.
Throughput rates were similar from all nodes
All operations in cluster completed around same time.

12. Insert performance Dataset: 1B rows Row size: 1K 10 RS, 11 2TB @7200
8 Cores, 24GB RAM, 2Gbps
3 Replication, No compression
Ops
Seconds
Insert (one node)

13. Read performance Dataset: 0.9B rows Row size: 1K 9 RS, 5 500G @7200
8 cores, 24GB RAM, 2Gbps
Ops
Seconds
Read (one node)

14. HBase High Availability
"...In HBase 0.90 I have seen that it has a fault tolerant behavior of triggering lease recovery and closing the file when the writer dies in the middle. Yet does hbase have any workaround/recovery when NameNode is restarted in the middle of the file write(possibly the HLog file , after some syncs)???..." Gokulakannan M 
source: hbase-user group

15. MapR High Availability
No single point of failure
Distributed NameNode
Automatic and transparent failover
Better performance
Replicated and persisted to disk
Fully distributed and highly scalable
Real time HBase on MapR
HBASE
READ / WRITE
MapR
(No Single Point of Failure)
Node
Node
Node NN NN NN
Node
Node
Node NN NN NN

16. MapR Heatmap™ Intuitive Insightful Comprehensive One node or thousands
More at

17. Credits More Information http://www.mapr.com
Michael Stack and Ryan Rawson for their valuable feedback.
Brian Cooper and Adam Silberstein for their help with YCSB
Active and helpful HBase community
Follow
Download and try from