mirror of https://github.com/apache/cassandra
366 lines
16 KiB
YAML
366 lines
16 KiB
YAML
# Cassandra storage config YAML
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# See http://wiki.apache.org/cassandra/StorageConfiguration for
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# explanations of configuration directives.
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# The name of the cluster. This is mainly used to prevent machines in
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# one logical cluster from joining another.
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cluster_name: 'Test Cluster'
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# If you are using an order-preserving partitioner and you know your key
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# distribution, you can specify the token for this node to use. (Keys
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# are sent to the node with the "closest" token, so distributing your
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# tokens equally along the key distribution space will spread keys
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# evenly across your cluster.) This setting is only checked the first
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# time a node is started.
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# This can also be useful with RandomPartitioner to force equal spacing
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# of tokens around the hash space, especially for clusters with a small
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# number of nodes.
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initial_token:
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# Set to true to make new [non-seed] nodes automatically migrate data
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# to themselves from the pre-existing nodes in the cluster. Defaults
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# to false because you can only bootstrap N machines at a time from
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# an existing cluster of N, so if you are bringing up a cluster of
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# 10 machines with 3 seeds you would have to do it in stages. Leaving
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# this off for the initial start simplifies that.
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auto_bootstrap: false
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# See http://wiki.apache.org/cassandra/HintedHandoff
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hinted_handoff_enabled: true
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# authentication backend, implementing IAuthenticator; used to identify users
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authenticator: org.apache.cassandra.auth.AllowAllAuthenticator
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# authorization backend, implementing IAuthority; used to limit access/provide permissions
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authority: org.apache.cassandra.auth.AllowAllAuthority
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# any IPartitioner may be used, including your own as long as it is on
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# the classpath. Out of the box, Cassandra provides
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# org.apache.cassandra.dht.RandomPartitioner
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# org.apache.cassandra.dht.ByteOrderedPartitioner,
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# org.apache.cassandra.dht.OrderPreservingPartitioner, and
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# org.apache.cassandra.dht.CollatingOrderPreservingPartitioner.
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# (CollatingOPP colates according to EN,US rules, not naive byte
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# ordering. Use this as an example if you need locale-aware collation.)
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partitioner: org.apache.cassandra.dht.RandomPartitioner
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# directories where Cassandra should store data on disk.
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data_file_directories:
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- /var/lib/cassandra/data
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# commit log
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commitlog_directory: /var/lib/cassandra/commitlog
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# Size to allow commitlog to grow to before creating a new segment
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commitlog_rotation_threshold_in_mb: 128
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# commitlog_sync may be either "periodic" or "batch."
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# When in batch mode, Cassandra won't ack writes until the commit log
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# has been fsynced to disk. It will wait up to
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# CommitLogSyncBatchWindowInMS milliseconds for other writes, before
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# performing the sync.
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commitlog_sync: periodic
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# the other option is "timed," where writes may be acked immediately
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# and the CommitLog is simply synced every commitlog_sync_period_in_ms
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# milliseconds.
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commitlog_sync_period_in_ms: 10000
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# Addresses of hosts that are deemed contact points.
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# Cassandra nodes use this list of hosts to find each other and learn
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# the topology of the ring. You must change this if you are running
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# multiple nodes!
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seeds:
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- 127.0.0.1
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# Access mode. mmapped i/o is substantially faster, but only practical on
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# a 64bit machine (which notably does not include EC2 "small" instances)
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# or relatively small datasets. "auto", the safe choice, will enable
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# mmapping on a 64bit JVM. Other values are "mmap", "mmap_index_only"
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# (which may allow you to get part of the benefits of mmap on a 32bit
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# machine by mmapping only index files) and "standard".
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# (The buffer size settings that follow only apply to standard,
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# non-mmapped i/o.)
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disk_access_mode: auto
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# Unlike most systems, in Cassandra writes are faster than reads, so
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# you can afford more of those in parallel. A good rule of thumb is 2
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# concurrent reads per processor core. Increase ConcurrentWrites to
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# the number of clients writing at once if you enable CommitLogSync +
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# CommitLogSyncDelay. -->
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concurrent_reads: 8
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concurrent_writes: 32
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# This sets the amount of memtable flush writer threads. These will
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# be blocked by disk io, and each one will hold a memtable in memory
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# while blocked. If you have a large heap and many data directories,
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# you can increase this value for better flush performance.
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# By default this will be set to the amount of data directories defined.
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#memtable_flush_writers: 1
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# Buffer size to use when performing contiguous column slices.
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# Increase this to the size of the column slices you typically perform
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sliced_buffer_size_in_kb: 64
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# TCP port, for commands and data
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storage_port: 7000
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# Address to bind to and tell other nodes to connect to. You _must_
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# change this if you want multiple nodes to be able to communicate!
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listen_address: localhost
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# The address to bind the Thrift RPC service to
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rpc_address: localhost
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# port for Thrift to listen on
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rpc_port: 9160
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# enable or disable keepalive on rpc connections
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rpc_keepalive: true
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# uncomment to set socket buffer sizes on rpc connections
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# rpc_send_buff_size_in_bytes:
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# rpc_recv_buff_size_in_bytes:
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# Frame size for thrift (maximum field length).
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# 0 disables TFramedTransport in favor of TSocket. This option
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# is deprecated; we strongly recommend using Framed mode.
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thrift_framed_transport_size_in_mb: 15
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# The max length of a thrift message, including all fields and
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# internal thrift overhead.
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thrift_max_message_length_in_mb: 16
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# Whether or not to take a snapshot before each compaction. Be
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# careful using this option, since Cassandra won't clean up the
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# snapshots for you. Mostly useful if you're paranoid when there
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# is a data format change.
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snapshot_before_compaction: false
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# change this to increase the compaction thread's priority. In java, 1 is the
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# lowest priority and that is our default.
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# compaction_thread_priority: 1
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# The threshold size in megabytes the binary memtable must grow to,
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# before it's submitted for flushing to disk.
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binary_memtable_throughput_in_mb: 256
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# The maximum time to leave a dirty memtable unflushed.
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# (While any affected columnfamilies have unflushed data from a
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# commit log segment, that segment cannot be deleted.)
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# This needs to be large enough that it won't cause a flush storm
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# of all your memtables flushing at once because none has hit
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# the size or count thresholds yet.
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# defaults to 60
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#memtable_flush_after_mins: 60
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# Size of the memtable in memory before it is flushed
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# if left undefined, 1/8 of the heap will be used
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#memtable_throughput_in_mb: 256
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# Number of objects in millions in the memtable before it is flushed
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# if left undefined, the memtable_throughput_in_mb / 64 * 0.3 will be used
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#memtable_operations_in_millions: 1.2
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# Add column indexes to a row after its contents reach this size.
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# Increase if your column values are large, or if you have a very large
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# number of columns. The competing causes are, Cassandra has to
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# deserialize this much of the row to read a single column, so you want
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# it to be small - at least if you do many partial-row reads - but all
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# the index data is read for each access, so you don't want to generate
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# that wastefully either.
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column_index_size_in_kb: 64
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# Size limit for rows being compacted in memory. Larger rows will spill
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# over to disk and use a slower two-pass compaction process. A message
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# will be logged specifying the row key.
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in_memory_compaction_limit_in_mb: 64
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# Time to wait for a reply from other nodes before failing the command
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rpc_timeout_in_ms: 10000
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# phi value that must be reached for a host to be marked down.
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# most users should never need to adjust this.
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# phi_convict_threshold: 8
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# endpoint_snitch -- Set this to a class that implements
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# IEndpointSnitch, which will let Cassandra know enough
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# about your network topology to route requests efficiently.
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# Out of the box, Cassandra provides
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# - org.apache.cassandra.locator.SimpleSnitch:
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# Treats Strategy order as proximity. This improves cache locality
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# when disabling read repair, which can further improve throughput.
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# - org.apache.cassandra.locator.RackInferringSnitch:
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# Proximity is determined by rack and data center, which are
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# assumed to correspond to the 3rd and 2nd octet of each node's
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# IP address, respectively
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# org.apache.cassandra.locator.PropertyFileSnitch:
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# - Proximity is determined by rack and data center, which are
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# explicitly configured in cassandra-rack.properties.
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endpoint_snitch: org.apache.cassandra.locator.SimpleSnitch
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# dynamic_snitch -- This boolean controls whether the above snitch is
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# wrapped with a dynamic snitch, which will monitor read latencies
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# and avoid reading from hosts that have slowed (due to compaction,
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# for instance)
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dynamic_snitch: true
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# request_scheduler -- Set this to a class that implements
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# RequestScheduler, which will schedule incoming client requests
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# according to the specific policy. This is useful for multi-tenancy
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# with a single Cassandra cluster.
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# NOTE: This is specifically for requests from the client and does
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# not affect inter node communication.
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# org.apache.cassandra.scheduler.NoScheduler - No scheduling takes place
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# org.apache.cassandra.scheduler.RoundRobinScheduler - Round robin of
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# client requests to a node with a separate queue for each
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# request_scheduler_id. The scheduler is further customized by
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# request_scheduler_options as described below.
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request_scheduler: org.apache.cassandra.scheduler.NoScheduler
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# Scheduler Options vary based on the type of scheduler
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# NoScheduler - Has no options
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# RoundRobin
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# - throttle_limit -- The throttle_limit is the number of in-flight
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# requests per client. Requests beyond
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# that limit are queued up until
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# running requests can complete.
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# The value of 80 here is twice the number of
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# concurrent_reads + concurrent_writes.
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# - default_weight -- default_weight is optional and allows for
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# overriding the default which is 1.
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# - weights -- Weights are optional and will default to 1 or the
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# overridden default_weight. The weight translates into how
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# many requests are handled during each turn of the
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# RoundRobin, based on the scheduler id.
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#
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# request_scheduler_options:
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# throttle_limit: 80
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# default_weight: 5
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# weights:
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# Keyspace1: 1
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# Keyspace2: 5
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# request_scheduler_id -- An identifer based on which to perform
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# the request scheduling. Currently the only valid option is keyspace.
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# request_scheduler_id: keyspace
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# A ColumnFamily is the Cassandra concept closest to a relational table.
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#
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# Keyspaces are separate groups of ColumnFamilies. Except in very
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# unusual circumstances you will have one Keyspace per application.
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#
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# Keyspace required parameters:
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# - name: name of the keyspace; "system" and "definitions" are
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# reserved for Cassandra Internals.
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# - replica_placement_strategy: the class that determines how replicas
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# are distributed among nodes. Contains both the class as well as
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# configuration information. Must extend AbstractReplicationStrategy.
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# Out of the box, Cassandra provides
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# * org.apache.cassandra.locator.SimpleStrategy
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# * org.apache.cassandra.locator.NetworkTopologyStrategy
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# * org.apache.cassandra.locator.OldNetworkTopologyStrategy
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#
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# SimpleStrategy merely places the first
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# replica at the node whose token is closest to the key (as determined
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# by the Partitioner), and additional replicas on subsequent nodes
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# along the ring in increasing Token order.
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#
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# With NetworkTopologyStrategy,
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# for each datacenter, you can specify how many replicas you want
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# on a per-keyspace basis. Replicas are placed on different racks
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# within each DC, if possible. This strategy also requires rack aware
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# snitch, such as RackInferringSnitch or PropertyFileSnitch.
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# An example:
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# - name: Keyspace1
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# replica_placement_strategy: org.apache.cassandra.locator.NetworkTopologyStrategy
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# strategy_options:
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# DC1 : 3
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# DC2 : 2
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# DC3 : 1
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#
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# OldNetworkToplogyStrategy [formerly RackAwareStrategy]
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# places one replica in each of two datacenters, and the third on a
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# different rack in in the first. Additional datacenters are not
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# guaranteed to get a replica. Additional replicas after three are placed
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# in ring order after the third without regard to rack or datacenter.
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#
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# - replication_factor: Number of replicas of each row
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# - column_families: column families associated with this keyspace
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#
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# ColumnFamily required parameters:
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# - name: name of the ColumnFamily. Must not contain the character "-".
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# - compare_with: tells Cassandra how to sort the columns for slicing
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# operations. The default is BytesType, which is a straightforward
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# lexical comparison of the bytes in each column. Other options are
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# AsciiType, UTF8Type, LexicalUUIDType, TimeUUIDType, LongType,
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# and IntegerType (a generic variable-length integer type).
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# You can also specify the fully-qualified class name to a class of
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# your choice extending org.apache.cassandra.db.marshal.AbstractType.
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#
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# ColumnFamily optional parameters:
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# - keys_cached: specifies the number of keys per sstable whose
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# locations we keep in memory in "mostly LRU" order. (JUST the key
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# locations, NOT any column values.) Specify a fraction (value less
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# than 1) or an absolute number of keys to cache. Defaults to 200000
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# keys.
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# - rows_cached: specifies the number of rows whose entire contents we
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# cache in memory. Do not use this on ColumnFamilies with large rows,
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# or ColumnFamilies with high write:read ratios. Specify a fraction
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# (value less than 1) or an absolute number of rows to cache.
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# Defaults to 0. (i.e. row caching is off by default)
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# - comment: used to attach additional human-readable information about
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# the column family to its definition.
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# - read_repair_chance: specifies the probability with which read
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# repairs should be invoked on non-quorum reads. must be between 0
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# and 1. defaults to 1.0 (always read repair).
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# - preload_row_cache: If true, will populate row cache on startup.
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# Defaults to false.
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# - gc_grace_seconds: specifies the time to wait before garbage
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# collecting tombstones (deletion markers). defaults to 864000 (10
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# days). See http://wiki.apache.org/cassandra/DistributedDeletes
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#
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# NOTE: this keyspace definition is for demonstration purposes only.
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# Cassandra will not load these definitions during startup. See
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# http://wiki.apache.org/cassandra/FAQ#no_keyspaces for an explanation.
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keyspaces:
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- name: Keyspace1
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replica_placement_strategy: org.apache.cassandra.locator.SimpleStrategy
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replication_factor: 1
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column_families:
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- name: Standard1
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compare_with: BytesType
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- name: Standard2
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compare_with: UTF8Type
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read_repair_chance: 0.1
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keys_cached: 100
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gc_grace_seconds: 0
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min_compaction_threshold: 5
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max_compaction_threshold: 31
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- name: StandardByUUID1
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compare_with: TimeUUIDType
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- name: Super1
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column_type: Super
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compare_with: BytesType
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compare_subcolumns_with: BytesType
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- name: Super2
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column_type: Super
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compare_subcolumns_with: UTF8Type
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preload_row_cache: true
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rows_cached: 10000
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keys_cached: 50
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comment: 'A column family with supercolumns, whose column and subcolumn names are UTF8 strings'
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- name: Super3
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column_type: Super
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compare_with: LongType
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comment: 'A column family with supercolumns, whose column names are Longs (8 bytes)'
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- name: Indexed1
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default_validation_class: LongType
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column_metadata:
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- name: birthdate
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validator_class: LongType
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index_type: KEYS
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