conf/cassandra.yaml - cassandra - Git at Google

 # Cassandra storage config YAML

 # NOTE:
 #   See http://wiki.apache.org/cassandra/StorageConfiguration for
 #   full explanations of configuration directives
 # /NOTE

 # The name of the cluster. This is mainly used to prevent machines in
 # one logical cluster from joining another.
 cluster_name: 'Test Cluster'

 # You should always specify InitialToken when setting up a production
 # cluster for the first time, and often when adding capacity later.
 # The principle is that each node should be given an equal slice of
 # the token ring; see http://wiki.apache.org/cassandra/Operations
 # for more details.
 #
 # If blank, Cassandra will request a token bisecting the range of
 # the heaviest-loaded existing node.  If there is no load information
 # available, such as is the case with a new cluster, it will pick
 # a random token, which will lead to hot spots.
 initial_token:

 # Set to true to make new [non-seed] nodes automatically migrate data
 # to themselves from the pre-existing nodes in the cluster.  Defaults
 # to false because you can only bootstrap N machines at a time from
 # an existing cluster of N, so if you are bringing up a cluster of
 # 10 machines with 3 seeds you would have to do it in stages.  Leaving
 # this off for the initial start simplifies that.
 auto_bootstrap: false

 # See http://wiki.apache.org/cassandra/HintedHandoff
 hinted_handoff_enabled: true

 # authentication backend, implementing IAuthenticator; used to identify users
 authenticator: org.apache.cassandra.auth.AllowAllAuthenticator

 # authorization backend, implementing IAuthority; used to limit access/provide permissions
 authority: org.apache.cassandra.auth.AllowAllAuthority

 # 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.ByteOrderedPartitioner,
 # 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.)
 partitioner: org.apache.cassandra.dht.RandomPartitioner

 # directories where Cassandra should store data on disk.
 data_file_directories:
     - /var/lib/cassandra/data

 # commit log
 commitlog_directory: /var/lib/cassandra/commitlog

 # saved caches
 saved_caches_directory: /var/lib/cassandra/saved_caches

 # Size to allow commitlog to grow to before creating a new segment
 commitlog_rotation_threshold_in_mb: 128

 # commitlog_sync supports the following modes:
 #
 # batch:
 # In batch mode, Cassandra won't ack writes until the commit log
 # has been fsynced to disk.  But fsyncing each write at once is
 # performance-prohibitive, so instead Cassandra will wait up to
 # commitlog_sync_batch_window_in_ms milliseconds for other writes, before
 # syncing that "batch" at once.  This causes a performance penalty
 # of about 15% when the commitlog is on a separate device, and much more
 # when it shares the same device as the data files.
 #
 # periodic:
 # Writes may be acked immediately (without waiting for the commitlog
 # append) and the CommitLog is simply synced every
 # commitlog_sync_period_in_ms milliseconds.
 #
 # periodic_without_flush:
 # Like periodic, but the commitlog write buffer is only flushed
 # before the sync, so any interruption to the process can be
 # expected to lose some writes.  This is the old 0.6 periodic
 # behavior and will be removed in future versions if testing
 # continues to show no performance benefit over normal periodic.
 commitlog_sync: periodic
 commitlog_sync_period_in_ms: 10000
 # commitlog_sync: batch
 # commitlog_sync_batch_window_in_ms: 10

 # 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

 # Access mode.  mmapped i/o is substantially faster, but only practical on
 # a 64bit machine (which notably does not include EC2 "small" instances)
 # or relatively small datasets.  "auto", the safe choice, will enable
 # mmapping on a 64bit JVM.  Other values are "mmap", "mmap_index_only"
 # (which may allow you to get part of the benefits of mmap on a 32bit
 # machine by mmapping only index files) and "standard".
 # (The buffer size settings that follow only apply to standard,
 # non-mmapped i/o.)
 disk_access_mode: auto

 # 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

 # This sets the amount of memtable flush writer threads.  These will
 # be blocked by disk io, and each one will hold a memtable in memory
 # while blocked. If you have a large heap and many data directories,
 # you can increase this value for better flush performance.
 # By default this will be set to the amount of data directories defined.
 #memtable_flush_writers: 1

 # Buffer size to use when performing contiguous column slices.
 # Increase this to the size of the column slices you typically perform
 sliced_buffer_size_in_kb: 64

 # TCP port, for commands and data
 storage_port: 7000

 # Address to bind to and tell other Cassandra 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).
 #
 # Setting this to 0.0.0.0 is always wrong.
 listen_address: localhost

 # The address to bind the Thrift RPC service to -- clients connect
 # here. 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
 # port for Thrift to listen for clients on
 rpc_port: 9160

 # enable or disable keepalive on rpc connections
 rpc_keepalive: true

 # uncomment to set socket buffer sizes on rpc connections
 # rpc_send_buff_size_in_bytes:
 # rpc_recv_buff_size_in_bytes:

 # Frame size for thrift (maximum field length).
 # 0 disables TFramedTransport in favor of TSocket. This option
 # is deprecated; we strongly recommend using Framed mode.
 thrift_framed_transport_size_in_mb: 15

 # The max length of a thrift message, including all fields and
 # internal thrift overhead.
 thrift_max_message_length_in_mb: 16

 # Whether or not to take a snapshot before each compaction.  Be
 # careful using this option, since Cassandra won't clean up the
 # snapshots for you.  Mostly useful if you're paranoid when there
 # is a data format change.
 snapshot_before_compaction: false

 # change this to increase the compaction thread's priority.  In java, 1 is the
 # lowest priority and that is our default.
 # compaction_thread_priority: 1

 # 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

 # 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

 # Size limit for rows being compacted in memory.  Larger rows will spill
 # over to disk and use a slower two-pass compaction process.  A message
 # will be logged specifying the row key.
 in_memory_compaction_limit_in_mb: 64

 # Time to wait for a reply from other nodes before failing the command
 rpc_timeout_in_ms: 10000

 # phi value that must be reached for a host to be marked down.
 # most users should never need to adjust this.
 # phi_convict_threshold: 8

 # endpoint_snitch -- Set this to a class that implements
 # IEndpointSnitch, which will let Cassandra know enough
 # about your network topology to route requests efficiently.
 # Out of the box, Cassandra provides
 #  - org.apache.cassandra.locator.SimpleSnitch:
 #    Treats Strategy order as proximity. This improves cache locality
 #    when disabling read repair, which can further improve throughput.
 #  - org.apache.cassandra.locator.RackInferringSnitch:
 #    Proximity is determined by rack and data center, which are
 #    assumed to correspond to the 3rd and 2nd octet of each node's
 #    IP address, respectively
 # org.apache.cassandra.locator.PropertyFileSnitch:
 #  - Proximity is determined by rack and data center, which are
 #    explicitly configured in cassandra-topology.properties.
 endpoint_snitch: org.apache.cassandra.locator.SimpleSnitch

 # dynamic_snitch -- This boolean controls whether the above snitch is
 # wrapped with a dynamic snitch, which will monitor read latencies
 # and avoid reading from hosts that have slowed (due to compaction,
 # for instance)
 dynamic_snitch: true
 # controls how often to perform the more expensive part of host score
 # calculation
 dynamic_snitch_update_interval_in_ms: 100
 # controls how often to reset all host scores, allowing a bad host to
 # possibly recover
 dynamic_snitch_reset_interval_in_ms: 600000
 # if set greater than zero and read_repair_chance is < 1.0, this will allow
 # 'pinning' of replicas to hosts in order to increase cache capacity.
 # The badness threshold will control how much worse the pinned host has to be
 # before the dynamic snitch will prefer other replicas over it.  This is
 # expressed as a double which represents a percentage.  Thus, a value of
 # 0.2 means Cassandra would continue to prefer the static snitch values
 # until the pinned host was 20% worse than the fastest.
 dynamic_snitch_badness_threshold: 0.0

 # request_scheduler -- Set this to a class that implements
 # RequestScheduler, which will schedule incoming client requests
 # according to the specific policy. This is useful for multi-tenancy
 # with a single Cassandra cluster.
 # NOTE: This is specifically for requests from the client and does
 # not affect inter node communication.
 # org.apache.cassandra.scheduler.NoScheduler - No scheduling takes place
 # org.apache.cassandra.scheduler.RoundRobinScheduler - Round robin of
 # client requests to a node with a separate queue for each
 # request_scheduler_id. The scheduler is further customized by
 # request_scheduler_options as described below.
 request_scheduler: org.apache.cassandra.scheduler.NoScheduler

 # Scheduler Options vary based on the type of scheduler
 # NoScheduler - Has no options
 # RoundRobin
 #  - throttle_limit -- The throttle_limit is the number of in-flight
 #                      requests per client.  Requests beyond
 #                      that limit are queued up until
 #                      running requests can complete.
 #                      The value of 80 here is twice the number of
 #                      concurrent_reads + concurrent_writes.
 #  - default_weight -- default_weight is optional and allows for
 #                      overriding the default which is 1.
 #  - weights -- Weights are optional and will default to 1 or the
 #               overridden default_weight. The weight translates into how
 #               many requests are handled during each turn of the
 #               RoundRobin, based on the scheduler id.
 #
 # request_scheduler_options:
 #    throttle_limit: 80
 #    default_weight: 5
 #    weights:
 #      Keyspace1: 1
 #      Keyspace2: 5

 # request_scheduler_id -- An identifer based on which to perform
 # the request scheduling. Currently the only valid option is keyspace.
 # request_scheduler_id: keyspace

 # The Index Interval determines how large the sampling of row keys
 #  is for a given SSTable. The larger the sampling, the more effective
 #  the index is at the cost of space.
 index_interval: 128

 # Keyspaces have ColumnFamilies.        (Usually 1 KS per application.)
 # ColumnFamilies have Rows.             (Dozens of CFs per KS.)
 # Rows contain Columns.                 (Many per CF.)
 # Columns contain name:value:timestamp. (Many per Row.)
 #
 # A KS is most similar to a schema, and a CF is most similar to a relational table.
 #
 # Keyspaces, ColumnFamilies, and Columns may carry additional
 # metadata that change their behavior. These are as follows:
 #
 # Keyspace required parameters:
 # - name: name of the keyspace; "system" is
 #   reserved for Cassandra Internals.
 # - replica_placement_strategy: the class that determines how replicas
 #   are distributed among nodes. Contains both the class as well as
 #   configuration information.  Must extend AbstractReplicationStrategy.
 #   Out of the box, Cassandra provides
 #     * org.apache.cassandra.locator.SimpleStrategy
 #     * org.apache.cassandra.locator.NetworkTopologyStrategy
 #     * org.apache.cassandra.locator.OldNetworkTopologyStrategy
 #
 #   SimpleStrategy merely places the first
 #   replica at the node whose token is closest to the key (as determined
 #   by the Partitioner), and additional replicas on subsequent nodes
 #   along the ring in increasing Token order.
 #
 #   With NetworkTopologyStrategy,
 #   for each datacenter, you can specify how many replicas you want
 #   on a per-keyspace basis.  Replicas are placed on different racks
 #   within each DC, if possible. This strategy also requires rack aware
 #   snitch, such as RackInferringSnitch or PropertyFileSnitch.
 #   An example:
 #    - name: Keyspace1
 #      replica_placement_strategy: org.apache.cassandra.locator.NetworkTopologyStrategy
 #      strategy_options:
 #        DC1 : 3
 #        DC2 : 2
 #        DC3 : 1
 #
 #   OldNetworkToplogyStrategy [formerly RackAwareStrategy]
 #   places one replica in each of two datacenters, and the third on a
 #   different rack in in the first.  Additional datacenters are not
 #   guaranteed to get a replica.  Additional replicas after three are placed
 #   in ring order after the third without regard to rack or datacenter.
 # - replication_factor: Number of replicas of each row
 # Keyspace optional paramaters:
 # - strategy_options: Additional information for the replication strategy.
 # - column_families:
 #     ColumnFamily required parameters:
 #     - name: name of the ColumnFamily.  Must not contain the character "-".
 #     - compare_with: 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, LongType,
 #       and IntegerType (a generic variable-length integer type).
 #       You can also specify the fully-qualified class name to a class of
 #       your choice extending org.apache.cassandra.db.marshal.AbstractType.
 #
 #     ColumnFamily optional parameters:
 #     - keys_cached: specifies the number of keys per sstable whose
 #        locations we keep in memory in "mostly LRU" order.  (JUST the key
 #        locations, NOT any column values.) Specify a fraction (value less
 #        than 1) or an absolute number of keys to cache.  Defaults to 200000
 #        keys.
 #     - rows_cached: specifies the number of rows whose entire contents we
 #        cache in memory. Do not use this on ColumnFamilies with large rows,
 #        or ColumnFamilies with high write:read ratios. Specify a fraction
 #        (value less than 1) or an absolute number of rows to cache.
 #        Defaults to 0. (i.e. row caching is off by default)
 #     - comment: used to attach additional human-readable information about
 #        the column family to its definition.
 #     - read_repair_chance: specifies the probability with which read
 #        repairs should be invoked on non-quorum reads.  must be between 0
 #        and 1. defaults to 1.0 (always read repair).
 #     - gc_grace_seconds: specifies the time to wait before garbage
 #        collecting tombstones (deletion markers). defaults to 864000 (10
 #        days). See http://wiki.apache.org/cassandra/DistributedDeletes
 #     - default_validation_class: specifies a validator class to use for
 #        validating all the column values in the CF.
 #     NOTE:
 #     min_ must be less than max_compaction_threshold!
 #     - min_compaction_threshold: the minimum number of SSTables needed
 #        to start a minor compaction.  increasing this will cause minor
 #        compactions to start less frequently and be more intensive. setting
 #        this to 0 disables minor compactions.  defaults to 4.
 #     - max_compaction_threshold: the maximum number of SSTables allowed
 #        before a minor compaction is forced.  decreasing this will cause
 #        minor compactions to start more frequently and be less intensive.
 #        setting this to 0 disables minor compactions.  defaults to 32.
 #     /NOTE
 #     - row_cache_save_period_in_seconds: number of seconds between saving
 #        row caches.  The row caches can be saved periodically and if one
 #        exists on startup it will be loaded.
 #     - key_cache_save_period_in_seconds: number of seconds between saving
 #        key caches.  The key caches can be saved periodically and if one
 #        exists on startup it will be loaded.
 #     - memtable_flush_after_mins: The maximum time to leave a dirty table
 #        unflushed.  This should be large enough that it won't cause a flush
 #        storm of all memtables during periods of inactivity.
 #     - memtable_throughput_in_mb: The maximum size of the memtable before
 #        it is flushed.  If undefined, 1/8 * heapsize will be used.
 #     - memtable_operations_in_millions: Number of operations in millions
 #        before the memtable is flushed. If undefined, throughput / 64 * 0.3
 #        will be used.
 #     - column_metadata:
 #         Column required parameters:
 #         - name: binds a validator (and optionally an indexer) to columns
 #            with this name in any row of the enclosing column family.
 #         - validator: like cf.compare_with, an AbstractType that checks
 #            that the value of the column is well-defined.
 #         Column optional parameters:
 #         NOTE:
 #         index_name cannot be set if index_type is not also set!
 #         - index_name: User-friendly name for the index.
 #         - index_type: The type of index to be created. Currently only
 #            KEYS is supported.
 #         /NOTE
 #
 # NOTE:
 #   this keyspace definition is for demonstration purposes only.
 #   Cassandra will not load these definitions during startup. See
 #   http://wiki.apache.org/cassandra/FAQ#no_keyspaces for an explanation.
 # /NOTE
 keyspaces:
     - name: Keyspace1
       replica_placement_strategy: org.apache.cassandra.locator.SimpleStrategy
       replication_factor: 1
       column_families:
         - name: Standard1
           compare_with: BytesType
           keys_cached: 10000
           rows_cached: 1000
           row_cache_save_period_in_seconds: 0
           key_cache_save_period_in_seconds: 3600
           memtable_flush_after_mins: 59
           memtable_throughput_in_mb: 255
           memtable_operations_in_millions: 0.29

         - name: Standard2
           compare_with: UTF8Type
           read_repair_chance: 0.1
           keys_cached: 100
           gc_grace_seconds: 0
           min_compaction_threshold: 5
           max_compaction_threshold: 31

         - 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
           rows_cached: 10000
           keys_cached: 50
           comment: 'A column family with supercolumns, whose column and subcolumn names are UTF8 strings'

         - name: Super3
           column_type: Super
           compare_with: LongType
           comment: 'A column family with supercolumns, whose column names are Longs (8 bytes)'

         - name: Indexed1
           default_validation_class: LongType
           column_metadata:
             - name: birthdate
               validator_class: LongType
               index_name: birthdate_idx
               index_type: KEYS
	# Cassandra storage config YAML

	# NOTE:
	# See http://wiki.apache.org/cassandra/StorageConfiguration for
	# full explanations of configuration directives
	# /NOTE

	# The name of the cluster. This is mainly used to prevent machines in
	# one logical cluster from joining another.
	cluster_name: 'Test Cluster'

	# You should always specify InitialToken when setting up a production
	# cluster for the first time, and often when adding capacity later.
	# The principle is that each node should be given an equal slice of
	# the token ring; see http://wiki.apache.org/cassandra/Operations
	# for more details.
	#
	# If blank, Cassandra will request a token bisecting the range of
	# the heaviest-loaded existing node. If there is no load information
	# available, such as is the case with a new cluster, it will pick
	# a random token, which will lead to hot spots.
	initial_token:

	# Set to true to make new [non-seed] nodes automatically migrate data
	# to themselves from the pre-existing nodes in the cluster. Defaults
	# to false because you can only bootstrap N machines at a time from
	# an existing cluster of N, so if you are bringing up a cluster of
	# 10 machines with 3 seeds you would have to do it in stages. Leaving
	# this off for the initial start simplifies that.
	auto_bootstrap: false

	# See http://wiki.apache.org/cassandra/HintedHandoff
	hinted_handoff_enabled: true

	# authentication backend, implementing IAuthenticator; used to identify users
	authenticator: org.apache.cassandra.auth.AllowAllAuthenticator

	# authorization backend, implementing IAuthority; used to limit access/provide permissions
	authority: org.apache.cassandra.auth.AllowAllAuthority

	# 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.ByteOrderedPartitioner,
	# 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.)
	partitioner: org.apache.cassandra.dht.RandomPartitioner

	# directories where Cassandra should store data on disk.
	data_file_directories:
	- /var/lib/cassandra/data

	# commit log
	commitlog_directory: /var/lib/cassandra/commitlog

	# saved caches
	saved_caches_directory: /var/lib/cassandra/saved_caches

	# Size to allow commitlog to grow to before creating a new segment
	commitlog_rotation_threshold_in_mb: 128

	# commitlog_sync supports the following modes:
	#
	# batch:
	# In batch mode, Cassandra won't ack writes until the commit log
	# has been fsynced to disk. But fsyncing each write at once is
	# performance-prohibitive, so instead Cassandra will wait up to
	# commitlog_sync_batch_window_in_ms milliseconds for other writes, before
	# syncing that "batch" at once. This causes a performance penalty
	# of about 15% when the commitlog is on a separate device, and much more
	# when it shares the same device as the data files.
	#
	# periodic:
	# Writes may be acked immediately (without waiting for the commitlog
	# append) and the CommitLog is simply synced every
	# commitlog_sync_period_in_ms milliseconds.
	#
	# periodic_without_flush:
	# Like periodic, but the commitlog write buffer is only flushed
	# before the sync, so any interruption to the process can be
	# expected to lose some writes. This is the old 0.6 periodic
	# behavior and will be removed in future versions if testing
	# continues to show no performance benefit over normal periodic.
	commitlog_sync: periodic
	commitlog_sync_period_in_ms: 10000
	# commitlog_sync: batch
	# commitlog_sync_batch_window_in_ms: 10

	# 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

	# Access mode. mmapped i/o is substantially faster, but only practical on
	# a 64bit machine (which notably does not include EC2 "small" instances)
	# or relatively small datasets. "auto", the safe choice, will enable
	# mmapping on a 64bit JVM. Other values are "mmap", "mmap_index_only"
	# (which may allow you to get part of the benefits of mmap on a 32bit
	# machine by mmapping only index files) and "standard".
	# (The buffer size settings that follow only apply to standard,
	# non-mmapped i/o.)
	disk_access_mode: auto

	# 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

	# This sets the amount of memtable flush writer threads. These will
	# be blocked by disk io, and each one will hold a memtable in memory
	# while blocked. If you have a large heap and many data directories,
	# you can increase this value for better flush performance.
	# By default this will be set to the amount of data directories defined.
	#memtable_flush_writers: 1

	# Buffer size to use when performing contiguous column slices.
	# Increase this to the size of the column slices you typically perform
	sliced_buffer_size_in_kb: 64

	# TCP port, for commands and data
	storage_port: 7000

	# Address to bind to and tell other Cassandra 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).
	#
	# Setting this to 0.0.0.0 is always wrong.
	listen_address: localhost

	# The address to bind the Thrift RPC service to -- clients connect
	# here. 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
	# port for Thrift to listen for clients on
	rpc_port: 9160

	# enable or disable keepalive on rpc connections
	rpc_keepalive: true

	# uncomment to set socket buffer sizes on rpc connections
	# rpc_send_buff_size_in_bytes:
	# rpc_recv_buff_size_in_bytes:

	# Frame size for thrift (maximum field length).
	# 0 disables TFramedTransport in favor of TSocket. This option
	# is deprecated; we strongly recommend using Framed mode.
	thrift_framed_transport_size_in_mb: 15

	# The max length of a thrift message, including all fields and
	# internal thrift overhead.
	thrift_max_message_length_in_mb: 16

	# Whether or not to take a snapshot before each compaction. Be
	# careful using this option, since Cassandra won't clean up the
	# snapshots for you. Mostly useful if you're paranoid when there
	# is a data format change.
	snapshot_before_compaction: false

	# change this to increase the compaction thread's priority. In java, 1 is the
	# lowest priority and that is our default.
	# compaction_thread_priority: 1

	# 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

	# 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

	# Size limit for rows being compacted in memory. Larger rows will spill
	# over to disk and use a slower two-pass compaction process. A message
	# will be logged specifying the row key.
	in_memory_compaction_limit_in_mb: 64

	# Time to wait for a reply from other nodes before failing the command
	rpc_timeout_in_ms: 10000

	# phi value that must be reached for a host to be marked down.
	# most users should never need to adjust this.
	# phi_convict_threshold: 8

	# endpoint_snitch -- Set this to a class that implements
	# IEndpointSnitch, which will let Cassandra know enough
	# about your network topology to route requests efficiently.
	# Out of the box, Cassandra provides
	# - org.apache.cassandra.locator.SimpleSnitch:
	# Treats Strategy order as proximity. This improves cache locality
	# when disabling read repair, which can further improve throughput.
	# - org.apache.cassandra.locator.RackInferringSnitch:
	# Proximity is determined by rack and data center, which are
	# assumed to correspond to the 3rd and 2nd octet of each node's
	# IP address, respectively
	# org.apache.cassandra.locator.PropertyFileSnitch:
	# - Proximity is determined by rack and data center, which are
	# explicitly configured in cassandra-topology.properties.
	endpoint_snitch: org.apache.cassandra.locator.SimpleSnitch

	# dynamic_snitch -- This boolean controls whether the above snitch is
	# wrapped with a dynamic snitch, which will monitor read latencies
	# and avoid reading from hosts that have slowed (due to compaction,
	# for instance)
	dynamic_snitch: true
	# controls how often to perform the more expensive part of host score
	# calculation
	dynamic_snitch_update_interval_in_ms: 100
	# controls how often to reset all host scores, allowing a bad host to
	# possibly recover
	dynamic_snitch_reset_interval_in_ms: 600000
	# if set greater than zero and read_repair_chance is < 1.0, this will allow
	# 'pinning' of replicas to hosts in order to increase cache capacity.
	# The badness threshold will control how much worse the pinned host has to be
	# before the dynamic snitch will prefer other replicas over it. This is
	# expressed as a double which represents a percentage. Thus, a value of
	# 0.2 means Cassandra would continue to prefer the static snitch values
	# until the pinned host was 20% worse than the fastest.
	dynamic_snitch_badness_threshold: 0.0

	# request_scheduler -- Set this to a class that implements
	# RequestScheduler, which will schedule incoming client requests
	# according to the specific policy. This is useful for multi-tenancy
	# with a single Cassandra cluster.
	# NOTE: This is specifically for requests from the client and does
	# not affect inter node communication.
	# org.apache.cassandra.scheduler.NoScheduler - No scheduling takes place
	# org.apache.cassandra.scheduler.RoundRobinScheduler - Round robin of
	# client requests to a node with a separate queue for each
	# request_scheduler_id. The scheduler is further customized by
	# request_scheduler_options as described below.
	request_scheduler: org.apache.cassandra.scheduler.NoScheduler

	# Scheduler Options vary based on the type of scheduler
	# NoScheduler - Has no options
	# RoundRobin
	# - throttle_limit -- The throttle_limit is the number of in-flight
	# requests per client. Requests beyond
	# that limit are queued up until
	# running requests can complete.
	# The value of 80 here is twice the number of
	# concurrent_reads + concurrent_writes.
	# - default_weight -- default_weight is optional and allows for
	# overriding the default which is 1.
	# - weights -- Weights are optional and will default to 1 or the
	# overridden default_weight. The weight translates into how
	# many requests are handled during each turn of the
	# RoundRobin, based on the scheduler id.
	#
	# request_scheduler_options:
	# throttle_limit: 80
	# default_weight: 5
	# weights:
	# Keyspace1: 1
	# Keyspace2: 5

	# request_scheduler_id -- An identifer based on which to perform
	# the request scheduling. Currently the only valid option is keyspace.
	# request_scheduler_id: keyspace

	# The Index Interval determines how large the sampling of row keys
	# is for a given SSTable. The larger the sampling, the more effective
	# the index is at the cost of space.
	index_interval: 128

	# Keyspaces have ColumnFamilies. (Usually 1 KS per application.)
	# ColumnFamilies have Rows. (Dozens of CFs per KS.)
	# Rows contain Columns. (Many per CF.)
	# Columns contain name:value:timestamp. (Many per Row.)
	#
	# A KS is most similar to a schema, and a CF is most similar to a relational table.
	#
	# Keyspaces, ColumnFamilies, and Columns may carry additional
	# metadata that change their behavior. These are as follows:
	#
	# Keyspace required parameters:
	# - name: name of the keyspace; "system" is
	# reserved for Cassandra Internals.
	# - replica_placement_strategy: the class that determines how replicas
	# are distributed among nodes. Contains both the class as well as
	# configuration information. Must extend AbstractReplicationStrategy.
	# Out of the box, Cassandra provides
	# * org.apache.cassandra.locator.SimpleStrategy
	# * org.apache.cassandra.locator.NetworkTopologyStrategy
	# * org.apache.cassandra.locator.OldNetworkTopologyStrategy
	#
	# SimpleStrategy merely places the first
	# replica at the node whose token is closest to the key (as determined
	# by the Partitioner), and additional replicas on subsequent nodes
	# along the ring in increasing Token order.
	#
	# With NetworkTopologyStrategy,
	# for each datacenter, you can specify how many replicas you want
	# on a per-keyspace basis. Replicas are placed on different racks
	# within each DC, if possible. This strategy also requires rack aware
	# snitch, such as RackInferringSnitch or PropertyFileSnitch.
	# An example:
	# - name: Keyspace1
	# replica_placement_strategy: org.apache.cassandra.locator.NetworkTopologyStrategy
	# strategy_options:
	# DC1 : 3
	# DC2 : 2
	# DC3 : 1
	#
	# OldNetworkToplogyStrategy [formerly RackAwareStrategy]
	# places one replica in each of two datacenters, and the third on a
	# different rack in in the first. Additional datacenters are not
	# guaranteed to get a replica. Additional replicas after three are placed
	# in ring order after the third without regard to rack or datacenter.
	# - replication_factor: Number of replicas of each row
	# Keyspace optional paramaters:
	# - strategy_options: Additional information for the replication strategy.
	# - column_families:
	# ColumnFamily required parameters:
	# - name: name of the ColumnFamily. Must not contain the character "-".
	# - compare_with: 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, LongType,
	# and IntegerType (a generic variable-length integer type).
	# You can also specify the fully-qualified class name to a class of
	# your choice extending org.apache.cassandra.db.marshal.AbstractType.
	#
	# ColumnFamily optional parameters:
	# - keys_cached: specifies the number of keys per sstable whose
	# locations we keep in memory in "mostly LRU" order. (JUST the key
	# locations, NOT any column values.) Specify a fraction (value less
	# than 1) or an absolute number of keys to cache. Defaults to 200000
	# keys.
	# - rows_cached: specifies the number of rows whose entire contents we
	# cache in memory. Do not use this on ColumnFamilies with large rows,
	# or ColumnFamilies with high write:read ratios. Specify a fraction
	# (value less than 1) or an absolute number of rows to cache.
	# Defaults to 0. (i.e. row caching is off by default)
	# - comment: used to attach additional human-readable information about
	# the column family to its definition.
	# - read_repair_chance: specifies the probability with which read
	# repairs should be invoked on non-quorum reads. must be between 0
	# and 1. defaults to 1.0 (always read repair).
	# - gc_grace_seconds: specifies the time to wait before garbage
	# collecting tombstones (deletion markers). defaults to 864000 (10
	# days). See http://wiki.apache.org/cassandra/DistributedDeletes
	# - default_validation_class: specifies a validator class to use for
	# validating all the column values in the CF.
	# NOTE:
	# min_ must be less than max_compaction_threshold!
	# - min_compaction_threshold: the minimum number of SSTables needed
	# to start a minor compaction. increasing this will cause minor
	# compactions to start less frequently and be more intensive. setting
	# this to 0 disables minor compactions. defaults to 4.
	# - max_compaction_threshold: the maximum number of SSTables allowed
	# before a minor compaction is forced. decreasing this will cause
	# minor compactions to start more frequently and be less intensive.
	# setting this to 0 disables minor compactions. defaults to 32.
	# /NOTE
	# - row_cache_save_period_in_seconds: number of seconds between saving
	# row caches. The row caches can be saved periodically and if one
	# exists on startup it will be loaded.
	# - key_cache_save_period_in_seconds: number of seconds between saving
	# key caches. The key caches can be saved periodically and if one
	# exists on startup it will be loaded.
	# - memtable_flush_after_mins: The maximum time to leave a dirty table
	# unflushed. This should be large enough that it won't cause a flush
	# storm of all memtables during periods of inactivity.
	# - memtable_throughput_in_mb: The maximum size of the memtable before
	# it is flushed. If undefined, 1/8 * heapsize will be used.
	# - memtable_operations_in_millions: Number of operations in millions
	# before the memtable is flushed. If undefined, throughput / 64 * 0.3
	# will be used.
	# - column_metadata:
	# Column required parameters:
	# - name: binds a validator (and optionally an indexer) to columns
	# with this name in any row of the enclosing column family.
	# - validator: like cf.compare_with, an AbstractType that checks
	# that the value of the column is well-defined.
	# Column optional parameters:
	# NOTE:
	# index_name cannot be set if index_type is not also set!
	# - index_name: User-friendly name for the index.
	# - index_type: The type of index to be created. Currently only
	# KEYS is supported.
	# /NOTE
	#
	# NOTE:
	# this keyspace definition is for demonstration purposes only.
	# Cassandra will not load these definitions during startup. See
	# http://wiki.apache.org/cassandra/FAQ#no_keyspaces for an explanation.
	# /NOTE
	keyspaces:
	- name: Keyspace1
	replica_placement_strategy: org.apache.cassandra.locator.SimpleStrategy
	replication_factor: 1
	column_families:
	- name: Standard1
	compare_with: BytesType
	keys_cached: 10000
	rows_cached: 1000
	row_cache_save_period_in_seconds: 0
	key_cache_save_period_in_seconds: 3600
	memtable_flush_after_mins: 59
	memtable_throughput_in_mb: 255
	memtable_operations_in_millions: 0.29

	- name: Standard2
	compare_with: UTF8Type
	read_repair_chance: 0.1
	keys_cached: 100
	gc_grace_seconds: 0
	min_compaction_threshold: 5
	max_compaction_threshold: 31

	- 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
	rows_cached: 10000
	keys_cached: 50
	comment: 'A column family with supercolumns, whose column and subcolumn names are UTF8 strings'

	- name: Super3
	column_type: Super
	compare_with: LongType
	comment: 'A column family with supercolumns, whose column names are Longs (8 bytes)'

	- name: Indexed1
	default_validation_class: LongType
	column_metadata:
	- name: birthdate
	validator_class: LongType
	index_name: birthdate_idx
	index_type: KEYS