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From Apache Wiki <wikidi...@apache.org>
Subject [Cassandra Wiki] Update of "StorageConfiguration_0.7" by ToddBlose
Date Sun, 25 Apr 2010 21:36:20 GMT
Dear Wiki user,

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

The "StorageConfiguration_0.7" page has been changed by ToddBlose.
The comment on this change is: Saving this here temporarily. Will copy over once we get closer
to 0.7 release..
http://wiki.apache.org/cassandra/StorageConfiguration_0.7

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

New page:
Cassandra storage configuration is described by the ''conf/cassandra.yaml'' file. As the syntax
evolves with releases, this wiki page tries to document those changes using ''[New in X.Y:
....]'' lines.

''[New in 0.7:'' The configuration file format has changed to YAML http://en.wikipedia.org/wiki/Yaml]

== AutoBootstrap ==
''[New in 0.5:''

Turn on to make new [non-seed] nodes automatically migrate the right data  to themselves.
 (If no InitialToken is specified, they will pick one  such that they will get half the range
of the most-loaded node.) If a node starts up without bootstrapping, it will mark itself bootstrapped
so that you can't subsequently accidently bootstrap a node with data on it.  (You can reset
this by wiping your data and commitlog directories.)

Off by default so that new clusters and upgraders from 0.4 don't bootstrap immediately.  You
should turn this on when you start adding new nodes to a cluster that already has data on
it.  (If you are upgrading from 0.4, start your cluster with it off once before changing it
to true. Otherwise, no data will be lost but you will incur a lot of unnecessary I/O before
your cluster starts up.)

{{{
  auto_bootstrap: false
}}}
'']''

== Cluster Name ==
The name of this cluster.  This is mainly used to prevent machines in one logical cluster
from joining another.

Example:

{{{
cluster_name: 'Test Cluster'
}}}
== Authenticator ==
''[New in 0.6:''

Allows for pluggable authentication of users, which defines whether it is necessary to call
the Thrift 'login' method, and which parameters are required to login. The default '!AllowAllAuthenticator'
does not require users to call 'login': any user can perform any operation. The other built
in option is '!SimpleAuthenticator', which requires users and passwords to be defined in property
files, and for users to call login with a valid combo.

Example:

{{{
authenticator: org.apache.cassandra.auth.AllowAllAuthenticator
}}}
'']''

=== EndPointSnitch ===
!EndPointSnitch: Setting this to the class that implements {{{IEndPointSnitch}}} which will
see if two endpoints are in the same data center or on the same rack. Out of the box, Cassandra
provides {{{org.apache.cassandra.locator.EndPointSnitch}}}

{{{
endpoint_snitch: org.apache.cassandra.locator.SimpleSnitch
}}}
Note: this class will work on hosts' IPs only. There is no configuration parameter to tell
Cassandra that a node is in rack ''R'' and in datacenter ''D''. The current rules are based
on the two methods: (see [[http://svn.apache.org/viewvc/incubator/cassandra/trunk/src/java/org/apache/cassandra/locator/EndPointSnitch.java?view=markup|EndPointSnitch.java]]):

 * isOnSameRack: Look at the IP Address of the two hosts. Compare the 3rd octet. If they are
the same then the hosts are in the same rack else different racks.

 * isInSameDataCenter: Look at the IP Address of the two hosts. Compare the 2nd octet. If
they are the same then the hosts are in the same datacenter else different datacenter.

== Keyspaces and ColumnFamilies ==
Keyspaces and {{{ColumnFamilies}}}: A {{{ColumnFamily}}} is the Cassandra concept closest
to a relational table.  {{{Keyspaces}}} are separate groups of {{{ColumnFamilies}}}.  Except
in very unusual circumstances you will have one Keyspace per application.

There is an implicit keyspace named 'system' for Cassandra internals.

{{{
keyspaces:
    - name: Keyspace1
}}}
''[New in 0.5:''

The fraction of keys per sstable whose locations we keep in memory in "mostly LRU" order.
 (JUST the key locations, NOT any column values.) The amount of memory used by the default
setting of 0.01 is comparable to the amount used by the internal per-sstable key index. Consider
increasing this if you have fewer, wider rows. Set to 0 to disable entirely.

{{{
      <KeysCachedFraction>0.01</KeysCachedFraction>
}}}
'']''

''[New in 0.6: !EndPointSnitch, !ReplicaPlacementStrategy and !ReplicationFactor became configurable
per keyspace.  Prior to that they were global settings.]''

=== ReplicaPlacementStrategy and ReplicationFactor ===
Strategy: Setting this to the class that implements {{{IReplicaPlacementStrategy}}} will change
the way the node picker works. Out of the box, Cassandra provides {{{org.apache.cassandra.locator.RackUnawareStrategy}}}
and {{{org.apache.cassandra.locator.RackAwareStrategy}}} (place one replica in a different
datacenter, and the others on different racks in the same one.)

{{{
replica_placement_strategy: org.apache.cassandra.locator.RackUnawareStrategy
}}}
Number of replicas of the data

{{{
replication_factor: 1
}}}
=== ColumnFamilies ===
The {{{CompareWith}}} attribute tells Cassandra how to sort the columns for slicing operations.
 The default is {{{BytesType}}}, which is a straightforward lexical comparison of the bytes
in each column. Other options are {{{AsciiType}}}, {{{UTF8Type}}}, {{{LexicalUUIDType}}},
{{{TimeUUIDType}}}, and {{{LongType}}}.  You can also specify the fully-qualified class name
to a class of your choice extending {{{org.apache.cassandra.db.marshal.AbstractType}}}.

 * {{{SuperColumns}}} have a similar {{{CompareSubcolumnsWith}}} attribute.
 * {{{BytesType}}}: Simple sort by byte value.  No validation is performed.
 * {{{AsciiType}}}: Like {{{BytesType}}}, but validates that the input can be parsed as US-ASCII.
 * {{{UTF8Type}}}: A string encoded as UTF8
 * {{{LongType}}}: A 64bit long
 * {{{LexicalUUIDType}}}: A 128bit UUID, compared lexically (by byte value)
 * {{{TimeUUIDType}}}: a 128bit version 1 UUID, compared by timestamp

(To get the closest approximation to 0.3-style {{{supercolumns}}}, you would use {{{CompareWith=UTF8Type
CompareSubcolumnsWith=LongType}}}.)

If {{{FlushPeriodInMinutes}}} is configured and positive, it will be flushed to disk with
that period whether it is dirty or not.  This is intended for lightly-used {{{columnfamilies}}}
so that they do not prevent commitlog segments from being purged.

''[New in 0.5:'' An optional `Comment` attribute may be used to attach additional human-readable
information about the column family to its definition. '']''

{{{
      column_families:
        - name: Standard1
          compare_with: BytesType

        - name: Standard2
          compare_with: UTF8Type
          read_repair_chance: 0.1
          keys_cached: 100

        - name: StandardByUUID1
          compare_with: TimeUUIDType

        - name: Super1
          column_type: Super
          compare_with: BytesType
          compare_subcolumns_with: BytesType

        - name: Super2
          column_type: Super
          compare_subcolumns_with: UTF8Type
          preloadRowCache: true
          rows_cached: 10000
          keys_cached: 50
          comment: 'A column family with supercolumns, whose column and subcolumn names are
UTF8 strings'
}}}
== Partitioner ==
Partitioner: any {{{IPartitioner}}} may be used, including your own as long as it is on the
classpath.  Out of the box, Cassandra provides {{{org.apache.cassandra.dht.RandomPartitioner}}},
{{{org.apache.cassandra.dht.OrderPreservingPartitioner}}}, and {{{org.apache.cassandra.dht.CollatingOrderPreservingPartitioner}}}.
(CollatingOPP colates according to EN,US rules, not naive byte ordering.  Use this as an example
if you need locale-aware collation.) Range queries require using an order-preserving partitioner.

Achtung!  Changing this parameter requires wiping your data directories, since the partitioner
can modify the !sstable on-disk format.

Example:

{{{
partitioner: org.apache.cassandra.dht.RandomPartitioner
}}}
If you are using an order-preserving partitioner and you know your key distribution, you can
specify the token for this node to use. (Keys are sent to the node with the "closest" token,
so distributing your tokens equally along the key distribution space will spread keys evenly
across your cluster.)  This setting is only checked the first time a node is started.

This can also be useful with {{{RandomPartitioner}}} to force equal spacing of tokens around
the hash space, especially for clusters with a small number of nodes.

{{{
initial_token:
}}}
Cassandra uses MD5 hash internally to hash the keys to place on the ring in a {{{RandomPartitioner}}}.
So it makes sense to divide the hash space equally by the number of machines available using
{{{InitialToken}}} ie, If there are 10 machines, each will handle 1/10th of maximum hash value)
and expect that the machines will get a reasonably equal load.

With {{{OrderPreservingPartitioner}}} the keys themselves are used to place on the ring. One
of the potential drawback of this approach is that if rows are inserted with sequential keys,
all the write load will go to the same node.

== Directories ==
Directories: Specify where Cassandra should store different data on disk.  Keep the data disks
and the {{{CommitLog}}} disks separate for best performance. See also [[FAQ#what_kind_of_hardware_should_i_use|what
kind of hardware should I use?]]

{{{
commitlog_directory: /var/lib/cassandra/commitlog
data_file_directories:
    - /var/lib/cassandra/data
}}}
== Seeds ==
Addresses of hosts that are deemed contact points. Cassandra nodes use this list of hosts
to find each other and learn the topology of the ring. You must change this if you are running
multiple nodes!

{{{
seeds:
    - 127.0.0.1
}}}
Never use a node's own address as a seed if you are bootstrapping it by setting AutoBootstrap
to true.

== Miscellaneous ==
Time to wait for a reply from other nodes before failing the command

{{{
rpc_timeout_in_ms: 5000
}}}
Size to allow commitlog to grow to before creating a new segment

{{{
commitlog_rotation_threshold_in_mb: 128
}}}
Local hosts and ports

Address to bind to and tell other nodes to connect to.  You _must_ change this if you want
multiple nodes to be able to communicate!

Leaving it blank leaves it up to {{{InetAddress.getLocalHost()}}}. This will always do the
Right Thing *if* the node is properly configured (hostname, name resolution, etc), and the
Right Thing is to use the address associated with the hostname (it might not be).  The ControlPort
setting is deprecated in 0.6 and can be safely removed from configuration.

{{{
listen_address: localhost
<!-- TCP port, for commands and data -->
storage_port: 7000
}}}
The address to bind the Thrift RPC service to. Unlike {{{ListenAddress}}} above, you *can*
specify {{{0.0.0.0}}} here if you want Thrift to listen on all interfaces.

Leaving this blank has the same effect it does for {{{ListenAddress}}}, (i.e. it will be based
on the configured hostname of the node).

{{{
rpc_address: localhost
<!-- Thrift RPC port (the port clients connect to). -->
rpc_port: 9160
}}}
Whether or not to use a framed transport for Thrift. If this option is set to true then you
must also use a framed transport on the  client-side, (framed and non-framed transports are
not compatible).

{{{
thrift_framed_transport: false
}}}
== Memory, Disk, and Performance ==
Buffer size to use when performing contiguous column slices. Increase this to the size of
the column slices you typically perform.  (Name-based queries are performed with a buffer
size of  !ColumnIndexSizeInKB.)

{{{
sliced_buffer_size_in_kb: 64
}}}
Buffer size to use when flushing !memtables to disk. (Only one  !memtable is ever flushed
at a time.) Increase (decrease) the index buffer size relative to the data buffer if you have
few (many)  columns per key.  Bigger is only better _if_ your !memtables get large enough
to use the space. (Check in your data directory after your app has been running long enough.)

{{{
flush_data_buffer_size_in_mb: 32
flush_index_buffer_size_in_mb: 8
}}}
Add column indexes to a row after its contents reach this size. Increase if your column values
are large, or if you have a very large number of columns.  The competing causes are, Cassandra
has to deserialize this much of the row to read a single column, so you want it to be small
- at least if you do many partial-row reads - but all the index data is read for each access,
so you don't want to generate that wastefully either.

{{{
column_index_size_in_kb: 64
}}}
The maximum amount of data to store in memory per !ColumnFamily before flushing to disk. 
Note: There is one memtable per column family, and  this threshold is based solely on the
amount of data stored, not actual heap memory usage (there is some overhead in indexing the
columns). See also MemtableThresholds.

{{{
memtable_throughput_in_mb: 64
}}}
The maximum number of columns in millions to store in memory per ColumnFamily before flushing
to disk.  This is also a per-memtable setting.  Use with {{{MemtableSizeInMB}}} to tune memory
usage.

{{{
memtable_operations_in_millions: 0.3
}}}
''[New in 0.5''

The maximum time to leave a dirty memtable unflushed. (While any affected columnfamilies have
unflushed data from a commit log segment, that segment cannot be deleted.) This needs to be
large enough that it won't cause a flush storm of all your memtables flushing at once because
none has hit the size or count thresholds yet.  For production, a larger value such as 1440
is recommended.

{{{
memtable_flush_after_mins: 60
}}}
'']''

Unlike most systems, in Cassandra writes are faster than reads, so you can afford more of
those in parallel.  A good rule of thumb is 2 concurrent reads per processor core.  Increase
{{{ConcurrentWrites}}} to the number of clients writing at once if you enable {{{CommitLogSync
+ CommitLogSyncDelay}}}.

{{{
concurrent_reads: 8
concurrent_writes: 32
}}}
{{{CommitLogSync}}} may be either "periodic" or "batch."  When in batch mode, Cassandra won't
ack writes until the commit log has been fsynced to disk.  It will wait up to {{{CommitLogSyncBatchWindowInMS}}}
milliseconds for other writes, before performing the sync.

This is less necessary in Cassandra than in traditional databases since replication reduces
the odds of losing data from a failure after writing the log entry but before it actually
reaches the disk. So the other option is "timed," where writes may be acked immediately and
the {{{CommitLog}}} is simply synced every {{{CommitLogSyncPeriodInMS}}} milliseconds.

{{{
commitlog_sync: periodic
}}}
Interval at which to perform syncs of the {{{CommitLog}}} in periodic mode. Usually the default
of 1000ms is fine; increase it only if the CommitLog PendingTasks backlog in jmx shows that
you are frequently scheduling a second sync while the first has not yet been processed.

{{{
commitlog_sync_period_in_ms: 1000
}}}
Delay (in milliseconds) during which additional commit log entries may be written before fsync
in batch mode.  This will increase latency slightly, but can vastly improve throughput where
there are many writers.  Set to zero to disable (each entry will be synced individually).
 Reasonable values range from a minimal 0.1 to 10 or even more if throughput matters more
than latency.

{{{
# commitlog_sync_batch_window_in_ms: 1
}}}
Time to wait before garbage-collection deletion markers.  Set this to a large enough value
that you are confident that the deletion marker will be propagated to all replicas by the
time this many seconds has elapsed, even in the face of hardware failures.  The default value
is ten days.

{{{
gc_grace_seconds: 864000
}}}
The threshold size in megabytes the binary memtable must grow to, before it's submitted for
flushing to disk.

{{{
binary_memtable_throughput_in_mb: 256
}}}

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