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From Apache Wiki <wikidi...@apache.org>
Subject [Cassandra Wiki] Update of "Operations" by JonathanEllis
Date Tue, 08 Dec 2009 22:55:04 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Cassandra Wiki" for change notification.

The "Operations" page has been changed by JonathanEllis.
http://wiki.apache.org/cassandra/Operations?action=diff&rev1=2&rev2=3

--------------------------------------------------

  
  Moving is essentially a convenience over decommission + bootstrap.
  
- = Load balancing =
+ == Load balancing ==
  
  Also essentially a convenience over decommission + bootstrap, only instead of telling the
node where to move on the ring it will choose its location based on the same heuristic as
Token selection on bootstrap.
  
  = Consistency =
  
- = Repairing missing or inconsistent data =
+ Cassandra allows clients to specify the desired consistency level on reads and writes. 
(See [[API]].)  If R + W > N, where R, W, and N are respectively the read replica count,
the write replica count, and the replication factor, all client reads will see the most recent
write.  Otherwise, readers '''may''' see older versions, for periods of typically a few ms;
this is called "eventual consistency."  See [[http://www.allthingsdistributed.com/2008/12/eventually_consistent.html]]
and [[http://queue.acm.org/detail.cfm?id=1466448]] for more.
  
+ == Repairing missing or inconsistent data ==
+ 
+ Cassandra repairs data in two ways:
+ 
+  1. Read Repair: every time a read is performed, Cassandra compares the versions at each
replica (in the background, if a low consistency was requested by the reader to minimize latency),
and the newest version is sent to any out-of-date replicas.
+  1. Anti-Entropy: when `nodeprobe repair` is run, Cassandra performs a major compaction,
computes a Merkle Tree of the data on that node, and compares it with the versions on other
replicas, to catch any out of sync data that hasn't been read recently.  This is intended
to be run infrequently (e.g., weekly) since major compaction is relatively expensive.
+ 
+ == Handling failure ==
+ 
+ If a node goes down and comes back up, the ordinary repair mechanisms will be adequate to
deal with any inconsistent data.  If a node goes down entirely, you should be aware of the
following as well:
+  1. Remove the old node from the ring first, or bring up a replacement node with the same
IP and Token as the old; otherwise, the old node will stay part of the ring in a "down" state,
which will degrade your replication factor for the affected Range
+   * If you don't know the Token of the old node, you can retrieve it from any of the other
nodes' `system` keyspace, ColumnFamily `LocationInfo`, key `L`.
+  1. Removing the old node, then bootstrapping the new one, may be more performant than using
Anti-Entropy.  Testing needed.
+   * Even brute-force rsyncing of data from the relevant replicas and running cleanup on
the replacement node may be more performant
+ 
+ = Backing up data =
+ 
+ Cassandra can snapshot data while online using `nodeprobe snapshot`.  You can then back
up those snapshots using any desired system, although leaving them where they are is probably
the option that makes the most sense on large clusters.
+ 
+ Currently, only flushed data is snapshotted (not data that only exists in the commitlog).
 Run `nodeprobe flush` first and wait for that to complete, to make sure you get '''all'''
data in the snapshot.
+ 
+ To revert to a snapshot, shut down the node, clear out the old commitlog and sstables, and
move the sstables from the snapshot location to the live data directory.
+ 
+ == Import / export ==
+ 
+ Cassandra can also export data as JSON with `bin/sstable2json`, and import it with `bin/json2sstable`.
 Eric to document. :)
+ 
+ = Monitoring =
+ 
+ Cassandra exposes internal metrics as JMX data.  This is a common standard in the JVM world;
OpenNMS, Nagios, and Munin at least offer some level of JMX support.
+ 
+ Chris to describe some important metrics to watch
+ 

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