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HBASEHIGHAVAILABILITY
HBASE HIGH
AVAILABILITYPAST, PRESENT AND FUTURE
JUN // 11 // 2015
SUDARSHAN KADAMBI, BLOOMBERG
DEVARAJ DAS, HORTONWORKS
HBASEHIGHAVAILABILITY
HBASE BASICS – QUICK RECAP
2
Region
Memstore
RegionServer
HDFS
Client
Region
MemstoreRegion
Memstore
Get/Scan/Put
Memstore
HBASEHIGHAVAILABILITY
3
HBASE MTTR – AN OVERVIEW
HBASEHIGHAVAILABILITY
BEYOND MTTR ….
30 seconds downtime (aggressive MTTR time) is still too
much
CERTAIN CLASSES OF APPS ARE WILLING TO TOLERATE
DECREASED CONSISTENCY GUARANTEES IN FAVOR OF
AVAILABILITY
» Especially for READs
INTRODUCED REGION REPLICA & TIMELINE CONSISTENCY
IN HBASE
 Community effort in the Apache jira HBASE-10070
4
HBASEHIGHAVAILABILITY
HBASE-10070: “REGION REPLICA”
5
FOR EVERY REGION OF THE TABLE, THERE CAN BE MORE THAN ONE REPLICA
» Each region replica is hosted by a different region server
ONE REPLICA PER REGION IS THE “PRIMARY”
» Only this can accepts WRITEs
» All reads from this region replica return the most recent data
OTHER REPLICAS, ALSO CALLED “SECONDARIES” FOLLOW THE PRIMARY
» Via Asynchronous WAL replication
» May not have received the recent data
» Serve data from the same data files (hfiles) as primary
HBASEHIGHAVAILABILITY
HBASE-10070: “ASYNC WAL REPL”
Client1
X=1WAL
MEM
Replica_id=0 (primary)
Replica_id=r1
Replica_id=r2
replication
replication
X=3
WAL
MEM
WAL
MEM
X=1X=1Write
HBASEHIGHAVAILABILITY
HBASE-10070: “ASYNC WAL REPL”
Client1
X=1
Client2
WAL
MEM
Replica_id=0 (primary)
Replica_id=r1
Replica_id=r2
replication
replication
X=3
WAL
MEM
WAL
MEM
X=1
X=1
X=1
X=1
X=1
X=1Read
X=1Read
X=1Read
HBASEHIGHAVAILABILITY
HBASE-10070: “ASYNC WAL REPL”
Client1
X=1WAL
MEM
Replica_id=0 (primary)
Replica_id=r1
Replica_id=r2
replication
replication
X=3
WAL
MEM
WAL
MEM
X=1
X=1
X=1
X=2Write X=2
X=2
HBASEHIGHAVAILABILITY
HBASE-10070: “ASYNC WAL REPL”
X=1
Client2
WAL
MEM
Replica_id=0 (primary)
Replica_id=r1
Replica_id=r2
replication
replication
X=3
WAL
MEM
WAL
MEM
X=1
X=1
X=1
Read
Read
X=1Read
X=2
X=2
X=2
X=2
X=2
X=2
Reads and Scans can be performed,
returning possibly stale data
HBASEHIGHAVAILABILITY
HBASE-10070: “TIMELINE CONSISTENCY”
10
PUBLIC ENUM CONSISTENCY {
STRONG,
TIMELINE
}
GET GET = NEW GET(ROW);
GET.SETCONSISTENCY(CONSISTENCY.TIMELINE);
...
RESULT RESULT = TABLE.GET(GET);
…
IF (RESULT.ISSTALE()) {
...
}
HBASEHIGHAVAILABILITY
THE CURRENT STATE OF HBASE-10070
• Available in HBase 1.1.0
• Provides HA reads but not writes
• Simplest to implement
• Consensus-based HA more work than
having No consensus
11
HBASEHIGHAVAILABILITY
EXTENSIONS TO HBASE-10070
• Standby-aware Assignment Manager
• Standby-aware DataNode placement
• Pluggable retry policies
• Pluggable consistency models
12
HBASEHIGHAVAILABILITY
HIGH AVAILABILITY – SOLUTION
PARAMETERS
• Where does the WAL go?
• Are Region Servers Active-Active or Active-
Standby?
• Do you use quorum?
• What consensus algorithm to achieve
quorum?
13
>>>>>>>>>>>>>>
WANDISCO’S NON
STOP HBASE
HBASEHIGHAVAILABILITY
WAN DISCO: ARCHITECTURE
• WAL on Local file system
• Multiple Region Servers host a region
• Reads and writes to a key served by any
replica
• Paxos-based Consensus
15
HBASEHIGHAVAILABILITY
WAN DISCO: WRITE PATH
• All replicas equal for reads and writes
• Client sends the Put to any one replica
• Chosen replica co-ordinates with peers
• Memstore and WAL updated after
consensus is achieved
16
HBASEHIGHAVAILABILITY
WAN DISCO: WRITE PATH
Client
WAL
MEM
Replica_id=R1
Replica_id=R2
Replica_id=R3
Networkpartition
WAL
MEM
WAL
MEM
X=2
X=2
X=2
WRITE X=2
X=2
X=2
HBASEHIGHAVAILABILITY
WAN DISCO: READ PATH
• Reads go to any one replica in the set
• On timeout, client does co-ordinated read
to other replicas
• Could potentially return stale data
18
HBASEHIGHAVAILABILITY
WAN DISCO: READ PATH
Client
WAL
MEM
Replica_id=R1
Replica_id=R2
Replica_id=R3
WAL
MEM
WAL
MEM
X=2
X=2
X=2
READ X
X=2
HBASEHIGHAVAILABILITY
WAN DISCO: READ PATH
Client
WAL
MEM
Replica_id=R1
Replica_id=R2
Replica_id=R3
WAL
MEM
WAL
MEM
X=2
X=2
X=2
READ X
X=2
HBASEHIGHAVAILABILITY
WAN DISCO: REGION SERVER FAILURE
• No downtime on reads or writes upon RS
failure
• Failed RS will not persist writes
• Failed RS might be on the read path, client
re-issues read on timeout
21
>>>>>>>>>>>>>>
FACEBOOK’S
HYDRABASE
HBASEHIGHAVAILABILITY
HYDRABASE: ARCHITECTURE
• WAL on Local file system
• Multiple Region Servers host a given region
• Reads and writes to a key served by active
leader only
• RAFT-based Consensus
23
HBASEHIGHAVAILABILITY
HYDRABASE: ARCHITECTURE
• Replicas are in either active or witness
mode
• Active replicas write HFiles
• Witness replicas only do WAL replication
24
HBASEHIGHAVAILABILITY
HYDRABASE: ARCHITECTURE
25
cc, Image Courtesy https://code.facebook.com/posts/321111638043166/hydrabase-the-evolution-of-hbase-facebook/
HBASEHIGHAVAILABILITY
HYDRABASE: FAILOVER
26
cc, Image Courtesy https://code.facebook.com/posts/321111638043166/hydrabase-the-evolution-of-hbase-facebook/
HBASEHIGHAVAILABILITY
HYDRABASE: FAILOVER
27
cc, Image Courtesy https://code.facebook.com/posts/321111638043166/hydrabase-the-evolution-of-hbase-facebook/
HBASEHIGHAVAILABILITY
COMPARISON MATRIX
28
INTER-
CLUSTER
REPLICATION
HBASE-10070 WAN
DISCO
HYDRABASE
CONSENSUS NO
CONSENSUS
NO
CONSENSUS
PAXOS RAFT
READ
AVAILABILITY
YES YES YES YES
WRITE
AVAILABILITY
YES NO* YES YES
STRONGLY
CONSISTENT
HA READS
NO NO NO YES
HBASEHIGHAVAILABILITY
COMPARISON MATRIX
29
INTER-
CLUSTER
REPLICATION
HBASE-10070 WAN DISCO HYDRABASE
STRONGLY
CONSISTENT
HA WRITES
NO NO YES YES
MULTI-
DATACENTER
YES NO* YES YES
PLUGGABLE
CONSISTENCY
MODEL
NO NO NO NO
LICENSE OPEN
SOURCE
OPEN
SOURCE, 1.1
COMMERCIAL PROPRIETARY
*
HBASEHIGHAVAILABILITY
ACKNOWLEDGEMENTS
• Ryan Rawson & Jagane Sundar, WanDisco
• HBase team at Facebook
30
HBASEHIGHAVAILABILITY
QUESTIONS?

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