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# Cassandra storage config YAML
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# NOTE:
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# See http://wiki.apache.org/cassandra/StorageConfiguration for
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# full explanations of configuration directives
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# /NOTE
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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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# This defines the number of tokens randomly assigned to this node on the ring
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# The more tokens, relative to other nodes, the larger the proportion of data
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# that this node will store. You probably want all nodes to have the same number
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# of tokens assuming they have equal hardware capability.
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#
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# If you leave this unspecified, Cassandra will use the default of 1 token for legacy compatibility,
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# and will use the initial_token as described below.
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#
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# Specifying initial_token will override this setting on the node's initial start,
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# on subsequent starts, this setting will apply even if initial token is set.
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#
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# If you already have a cluster with 1 token per node, and wish to migrate to
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# multiple tokens per node, see http://wiki.apache.org/cassandra/Operations
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num_tokens: 256
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# initial_token allows you to specify tokens manually. While you can use # it with
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# vnodes (num_tokens > 1, above) -- in which case you should provide a
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# comma-separated list -- it's primarily used when adding nodes # to legacy clusters
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# that do not have vnodes enabled.
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# initial_token:
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# See http://wiki.apache.org/cassandra/HintedHandoff
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# May either be "true" or "false" to enable globally, or contain a list
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# of data centers to enable per-datacenter.
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# hinted_handoff_enabled: DC1,DC2
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hinted_handoff_enabled: true
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# this defines the maximum amount of time a dead host will have hints
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# generated. After it has been dead this long, new hints for it will not be
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# created until it has been seen alive and gone down again.
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max_hint_window_in_ms: 10800000 # 3 hours
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# Maximum throttle in KBs per second, per delivery thread. This will be
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# reduced proportionally to the number of nodes in the cluster. (If there
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# are two nodes in the cluster, each delivery thread will use the maximum
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# rate; if there are three, each will throttle to half of the maximum,
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# since we expect two nodes to be delivering hints simultaneously.)
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hinted_handoff_throttle_in_kb: 1024
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# Number of threads with which to deliver hints;
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# Consider increasing this number when you have multi-dc deployments, since
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# cross-dc handoff tends to be slower
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max_hints_delivery_threads: 2
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# Maximum throttle in KBs per second, total. This will be
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# reduced proportionally to the number of nodes in the cluster.
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batchlog_replay_throttle_in_kb: 1024
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# Authentication backend, implementing IAuthenticator; used to identify users
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# Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthenticator,
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# PasswordAuthenticator}.
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#
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# - AllowAllAuthenticator performs no checks - set it to disable authentication.
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# - PasswordAuthenticator relies on username/password pairs to authenticate
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# users. It keeps usernames and hashed passwords in system_auth.credentials table.
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# Please increase system_auth keyspace replication factor if you use this authenticator.
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authenticator: AllowAllAuthenticator
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# Authorization backend, implementing IAuthorizer; used to limit access/provide permissions
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# Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthorizer,
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# CassandraAuthorizer}.
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#
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# - AllowAllAuthorizer allows any action to any user - set it to disable authorization.
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# - CassandraAuthorizer stores permissions in system_auth.permissions table. Please
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# increase system_auth keyspace replication factor if you use this authorizer.
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authorizer: AllowAllAuthorizer
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# Validity period for permissions cache (fetching permissions can be an
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# expensive operation depending on the authorizer, CassandraAuthorizer is
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# one example). Defaults to 2000, set to 0 to disable.
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# Will be disabled automatically for AllowAllAuthorizer.
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permissions_validity_in_ms: 2000
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# The partitioner is responsible for distributing groups of rows (by
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# partition key) across nodes in the cluster. You should leave this
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# alone for new clusters. The partitioner can NOT be changed without
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# reloading all data, so when upgrading you should set this to the
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# same partitioner you were already using.
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#
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# Besides Murmur3Partitioner, partitioners included for backwards
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# compatibility include RandomPartitioner, ByteOrderedPartitioner, and
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# OrderPreservingPartitioner.
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#
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partitioner: org.apache.cassandra.dht.Murmur3Partitioner
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# Directories where Cassandra should store data on disk. Cassandra
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# will spread data evenly across them, subject to the granularity of
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# the configured compaction strategy.
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# If not set, the default directory is $CASSANDRA_HOME/data/data.
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data_file_directories:
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- /var/lib/cassandra/data
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# commit log. when running on magnetic HDD, this should be a
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# separate spindle than the data directories.
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# If not set, the default directory is $CASSANDRA_HOME/data/commitlog.
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commitlog_directory: /var/lib/cassandra/commitlog
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# policy for data disk failures:
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# die: shut down gossip and Thrift and kill the JVM for any fs errors or
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# single-sstable errors, so the node can be replaced.
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# stop_paranoid: shut down gossip and Thrift even for single-sstable errors.
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# stop: shut down gossip and Thrift, leaving the node effectively dead, but
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# can still be inspected via JMX.
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# best_effort: stop using the failed disk and respond to requests based on
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# remaining available sstables. This means you WILL see obsolete
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# data at CL.ONE!
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# ignore: ignore fatal errors and let requests fail, as in pre-1.2 Cassandra
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disk_failure_policy: stop
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# policy for commit disk failures:
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# die: shut down gossip and Thrift and kill the JVM, so the node can be replaced.
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# stop: shut down gossip and Thrift, leaving the node effectively dead, but
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# can still be inspected via JMX.
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# stop_commit: shutdown the commit log, letting writes collect but
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# continuing to service reads, as in pre-2.0.5 Cassandra
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# ignore: ignore fatal errors and let the batches fail
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commit_failure_policy: stop
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# Maximum size of the key cache in memory.
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#
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# Each key cache hit saves 1 seek and each row cache hit saves 2 seeks at the
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# minimum, sometimes more. The key cache is fairly tiny for the amount of
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# time it saves, so it's worthwhile to use it at large numbers.
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# The row cache saves even more time, but must contain the entire row,
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# so it is extremely space-intensive. It's best to only use the
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# row cache if you have hot rows or static rows.
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#
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# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
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#
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# Default value is empty to make it "auto" (min(5% of Heap (in MB), 100MB)). Set to 0 to disable key cache.
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key_cache_size_in_mb:
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# Duration in seconds after which Cassandra should
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# save the key cache. Caches are saved to saved_caches_directory as
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# specified in this configuration file.
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#
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# Saved caches greatly improve cold-start speeds, and is relatively cheap in
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# terms of I/O for the key cache. Row cache saving is much more expensive and
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# has limited use.
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#
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# Default is 14400 or 4 hours.
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key_cache_save_period: 14400
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# Number of keys from the key cache to save
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# Disabled by default, meaning all keys are going to be saved
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# key_cache_keys_to_save: 100
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# Maximum size of the row cache in memory.
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# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
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#
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# Default value is 0, to disable row caching.
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row_cache_size_in_mb: 0
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# Duration in seconds after which Cassandra should
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# save the row cache. Caches are saved to saved_caches_directory as specified
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# in this configuration file.
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#
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# Saved caches greatly improve cold-start speeds, and is relatively cheap in
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# terms of I/O for the key cache. Row cache saving is much more expensive and
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# has limited use.
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#
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# Default is 0 to disable saving the row cache.
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row_cache_save_period: 0
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# Number of keys from the row cache to save
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# Disabled by default, meaning all keys are going to be saved
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# row_cache_keys_to_save: 100
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# Maximum size of the counter cache in memory.
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#
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# Counter cache helps to reduce counter locks' contention for hot counter cells.
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# In case of RF = 1 a counter cache hit will cause Cassandra to skip the read before
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# write entirely. With RF > 1 a counter cache hit will still help to reduce the duration
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# of the lock hold, helping with hot counter cell updates, but will not allow skipping
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# the read entirely. Only the local (clock, count) tuple of a counter cell is kept
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# in memory, not the whole counter, so it's relatively cheap.
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#
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# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
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#
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# Default value is empty to make it "auto" (min(2.5% of Heap (in MB), 50MB)). Set to 0 to disable counter cache.
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# NOTE: if you perform counter deletes and rely on low gcgs, you should disable the counter cache.
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counter_cache_size_in_mb:
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# Duration in seconds after which Cassandra should
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# save the counter cache (keys only). Caches are saved to saved_caches_directory as
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# specified in this configuration file.
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#
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# Default is 7200 or 2 hours.
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counter_cache_save_period: 7200
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# Number of keys from the counter cache to save
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# Disabled by default, meaning all keys are going to be saved
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# counter_cache_keys_to_save: 100
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# The off-heap memory allocator. Affects storage engine metadata as
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# well as caches. Experiments show that JEMAlloc saves some memory
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# than the native GCC allocator (i.e., JEMalloc is more
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# fragmentation-resistant).
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#
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# Supported values are: NativeAllocator, JEMallocAllocator
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#
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# If you intend to use JEMallocAllocator you have to install JEMalloc as library and
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# modify cassandra-env.sh as directed in the file.
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#
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# Defaults to NativeAllocator
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# memory_allocator: NativeAllocator
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# saved caches
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# If not set, the default directory is $CASSANDRA_HOME/data/saved_caches.
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saved_caches_directory: /var/lib/cassandra/saved_caches
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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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# commitlog_sync_batch_window_in_ms milliseconds for other writes, before
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# performing the sync.
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#
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# commitlog_sync: batch
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# commitlog_sync_batch_window_in_ms: 50
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#
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# the other option is "periodic" 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. commitlog_periodic_queue_size allows 1024*(CPU cores) pending
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# entries on the commitlog queue by default. If you are writing very large
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# blobs, you should reduce that; 16*cores works reasonably well for 1MB blobs.
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# It should be at least as large as the concurrent_writes setting.
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commitlog_sync: periodic
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commitlog_sync_period_in_ms: 10000
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# commitlog_periodic_queue_size:
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# The size of the individual commitlog file segments. A commitlog
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# segment may be archived, deleted, or recycled once all the data
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# in it (potentially from each columnfamily in the system) has been
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# flushed to sstables.
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#
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# The default size is 32, which is almost always fine, but if you are
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# archiving commitlog segments (see commitlog_archiving.properties),
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# then you probably want a finer granularity of archiving; 8 or 16 MB
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# is reasonable.
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commitlog_segment_size_in_mb: 32
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# any class that implements the SeedProvider interface and has a
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# constructor that takes a Map<String, String> of parameters will do.
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seed_provider:
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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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- class_name: io.k8s.cassandra.KubernetesSeedProvider
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parameters:
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# seeds is actually a comma-delimited list of addresses.
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# Ex: "<ip1>,<ip2>,<ip3>"
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- seeds: "%%ip%%"
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# For workloads with more data than can fit in memory, Cassandra's
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# bottleneck will be reads that need to fetch data from
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# disk. "concurrent_reads" should be set to (16 * number_of_drives) in
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# order to allow the operations to enqueue low enough in the stack
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# that the OS and drives can reorder them. Same applies to
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# "concurrent_counter_writes", since counter writes read the current
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# values before incrementing and writing them back.
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#
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# On the other hand, since writes are almost never IO bound, the ideal
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# number of "concurrent_writes" is dependent on the number of cores in
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# your system; (8 * number_of_cores) is a good rule of thumb.
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concurrent_reads: 32
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concurrent_writes: 32
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concurrent_counter_writes: 32
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# Total memory to use for sstable-reading buffers. Defaults to
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# the smaller of 1/4 of heap or 512MB.
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# file_cache_size_in_mb: 512
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# Total permitted memory to use for memtables. Cassandra will stop
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# accepting writes when the limit is exceeded until a flush completes,
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# and will trigger a flush based on memtable_cleanup_threshold
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# If omitted, Cassandra will set both to 1/4 the size of the heap.
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# memtable_heap_space_in_mb: 2048
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# memtable_offheap_space_in_mb: 2048
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# Ratio of occupied non-flushing memtable size to total permitted size
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# that will trigger a flush of the largest memtable. Lager mct will
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# mean larger flushes and hence less compaction, but also less concurrent
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# flush activity which can make it difficult to keep your disks fed
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# under heavy write load.
|
|
|
|
|
#
|
|
|
|
|
# memtable_cleanup_threshold defaults to 1 / (memtable_flush_writers + 1)
|
|
|
|
|
# memtable_cleanup_threshold: 0.11
|
|
|
|
|
|
|
|
|
|
# Specify the way Cassandra allocates and manages memtable memory.
|
|
|
|
|
# Options are:
|
|
|
|
|
# heap_buffers: on heap nio buffers
|
|
|
|
|
# offheap_buffers: off heap (direct) nio buffers
|
|
|
|
|
# offheap_objects: native memory, eliminating nio buffer heap overhead
|
|
|
|
|
memtable_allocation_type: heap_buffers
|
|
|
|
|
|
|
|
|
|
# Total space to use for commitlogs. Since commitlog segments are
|
|
|
|
|
# mmapped, and hence use up address space, the default size is 32
|
|
|
|
|
# on 32-bit JVMs, and 8192 on 64-bit JVMs.
|
|
|
|
|
#
|
|
|
|
|
# If space gets above this value (it will round up to the next nearest
|
|
|
|
|
# segment multiple), Cassandra will flush every dirty CF in the oldest
|
|
|
|
|
# segment and remove it. So a small total commitlog space will tend
|
|
|
|
|
# to cause more flush activity on less-active columnfamilies.
|
|
|
|
|
# commitlog_total_space_in_mb: 8192
|
|
|
|
|
|
|
|
|
|
# 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.
|
|
|
|
|
#
|
|
|
|
|
# memtable_flush_writers defaults to the smaller of (number of disks,
|
|
|
|
|
# number of cores), with a minimum of 2 and a maximum of 8.
|
|
|
|
|
#
|
|
|
|
|
# If your data directories are backed by SSD, you should increase this
|
|
|
|
|
# to the number of cores.
|
|
|
|
|
#memtable_flush_writers: 8
|
|
|
|
|
|
|
|
|
|
# A fixed memory pool size in MB for for SSTable index summaries. If left
|
|
|
|
|
# empty, this will default to 5% of the heap size. If the memory usage of
|
|
|
|
|
# all index summaries exceeds this limit, SSTables with low read rates will
|
|
|
|
|
# shrink their index summaries in order to meet this limit. However, this
|
|
|
|
|
# is a best-effort process. In extreme conditions Cassandra may need to use
|
|
|
|
|
# more than this amount of memory.
|
|
|
|
|
index_summary_capacity_in_mb:
|
|
|
|
|
|
|
|
|
|
# How frequently index summaries should be resampled. This is done
|
|
|
|
|
# periodically to redistribute memory from the fixed-size pool to sstables
|
|
|
|
|
# proportional their recent read rates. Setting to -1 will disable this
|
|
|
|
|
# process, leaving existing index summaries at their current sampling level.
|
|
|
|
|
index_summary_resize_interval_in_minutes: 60
|
|
|
|
|
|
|
|
|
|
# Whether to, when doing sequential writing, fsync() at intervals in
|
|
|
|
|
# order to force the operating system to flush the dirty
|
|
|
|
|
# buffers. Enable this to avoid sudden dirty buffer flushing from
|
|
|
|
|
# impacting read latencies. Almost always a good idea on SSDs; not
|
|
|
|
|
# necessarily on platters.
|
|
|
|
|
trickle_fsync: false
|
|
|
|
|
trickle_fsync_interval_in_kb: 10240
|
|
|
|
|
|
|
|
|
|
# TCP port, for commands and data
|
|
|
|
|
storage_port: 7000
|
|
|
|
|
|
|
|
|
|
# SSL port, for encrypted communication. Unused unless enabled in
|
|
|
|
|
# encryption_options
|
|
|
|
|
ssl_storage_port: 7001
|
|
|
|
|
|
|
|
|
|
# Address or interface 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!
|
|
|
|
|
#
|
|
|
|
|
# Set listen_address OR listen_interface, not both. Interfaces must correspond
|
|
|
|
|
# to a single address, IP aliasing is not supported.
|
|
|
|
|
#
|
|
|
|
|
# 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 listen_address to 0.0.0.0 is always wrong.
|
|
|
|
|
listen_address: %%ip%%
|
|
|
|
|
# listen_interface: eth0
|
|
|
|
|
|
|
|
|
|
# Address to broadcast to other Cassandra nodes
|
|
|
|
|
# Leaving this blank will set it to the same value as listen_address
|
|
|
|
|
# broadcast_address: 1.2.3.4
|
|
|
|
|
|
|
|
|
|
# Internode authentication backend, implementing IInternodeAuthenticator;
|
|
|
|
|
# used to allow/disallow connections from peer nodes.
|
|
|
|
|
# internode_authenticator: org.apache.cassandra.auth.AllowAllInternodeAuthenticator
|
|
|
|
|
|
|
|
|
|
# Whether to start the native transport server.
|
|
|
|
|
# Please note that the address on which the native transport is bound is the
|
|
|
|
|
# same as the rpc_address. The port however is different and specified below.
|
|
|
|
|
start_native_transport: true
|
|
|
|
|
# port for the CQL native transport to listen for clients on
|
|
|
|
|
native_transport_port: 9042
|
|
|
|
|
# The maximum threads for handling requests when the native transport is used.
|
|
|
|
|
# This is similar to rpc_max_threads though the default differs slightly (and
|
|
|
|
|
# there is no native_transport_min_threads, idle threads will always be stopped
|
|
|
|
|
# after 30 seconds).
|
|
|
|
|
# native_transport_max_threads: 128
|
|
|
|
|
#
|
|
|
|
|
# The maximum size of allowed frame. Frame (requests) larger than this will
|
|
|
|
|
# be rejected as invalid. The default is 256MB.
|
|
|
|
|
# native_transport_max_frame_size_in_mb: 256
|
|
|
|
|
|
|
|
|
|
# Whether to start the thrift rpc server.
|
|
|
|
|
start_rpc: true
|
|
|
|
|
|
|
|
|
|
# The address or interface to bind the Thrift RPC service and native transport
|
|
|
|
|
# server to.
|
|
|
|
|
#
|
|
|
|
|
# Set rpc_address OR rpc_interface, not both. Interfaces must correspond
|
|
|
|
|
# to a single address, IP aliasing is not supported.
|
|
|
|
|
#
|
|
|
|
|
# Leaving rpc_address blank has the same effect as on listen_address
|
|
|
|
|
# (i.e. it will be based on the configured hostname of the node).
|
|
|
|
|
#
|
|
|
|
|
# Note that unlike listen_address, you can specify 0.0.0.0, but you must also
|
|
|
|
|
# set broadcast_rpc_address to a value other than 0.0.0.0.
|
|
|
|
|
rpc_address: %%ip%%
|
|
|
|
|
# rpc_interface: eth1
|
|
|
|
|
|
|
|
|
|
# port for Thrift to listen for clients on
|
|
|
|
|
rpc_port: 9160
|
|
|
|
|
|
|
|
|
|
# RPC address to broadcast to drivers and other Cassandra nodes. This cannot
|
|
|
|
|
# be set to 0.0.0.0. If left blank, this will be set to the value of
|
|
|
|
|
# rpc_address. If rpc_address is set to 0.0.0.0, broadcast_rpc_address must
|
|
|
|
|
# be set.
|
|
|
|
|
# broadcast_rpc_address: 1.2.3.4
|
|
|
|
|
|
|
|
|
|
# enable or disable keepalive on rpc/native connections
|
|
|
|
|
rpc_keepalive: true
|
|
|
|
|
|
|
|
|
|
# Cassandra provides two out-of-the-box options for the RPC Server:
|
|
|
|
|
#
|
|
|
|
|
# sync -> One thread per thrift connection. For a very large number of clients, memory
|
|
|
|
|
# will be your limiting factor. On a 64 bit JVM, 180KB is the minimum stack size
|
|
|
|
|
# per thread, and that will correspond to your use of virtual memory (but physical memory
|
|
|
|
|
# may be limited depending on use of stack space).
|
|
|
|
|
#
|
|
|
|
|
# hsha -> Stands for "half synchronous, half asynchronous." All thrift clients are handled
|
|
|
|
|
# asynchronously using a small number of threads that does not vary with the amount
|
|
|
|
|
# of thrift clients (and thus scales well to many clients). The rpc requests are still
|
|
|
|
|
# synchronous (one thread per active request). If hsha is selected then it is essential
|
|
|
|
|
# that rpc_max_threads is changed from the default value of unlimited.
|
|
|
|
|
#
|
|
|
|
|
# The default is sync because on Windows hsha is about 30% slower. On Linux,
|
|
|
|
|
# sync/hsha performance is about the same, with hsha of course using less memory.
|
|
|
|
|
#
|
|
|
|
|
# Alternatively, can provide your own RPC server by providing the fully-qualified class name
|
|
|
|
|
# of an o.a.c.t.TServerFactory that can create an instance of it.
|
|
|
|
|
rpc_server_type: sync
|
|
|
|
|
|
|
|
|
|
# Uncomment rpc_min|max_thread to set request pool size limits.
|
|
|
|
|
#
|
|
|
|
|
# Regardless of your choice of RPC server (see above), the number of maximum requests in the
|
|
|
|
|
# RPC thread pool dictates how many concurrent requests are possible (but if you are using the sync
|
|
|
|
|
# RPC server, it also dictates the number of clients that can be connected at all).
|
|
|
|
|
#
|
|
|
|
|
# The default is unlimited and thus provides no protection against clients overwhelming the server. You are
|
|
|
|
|
# encouraged to set a maximum that makes sense for you in production, but do keep in mind that
|
|
|
|
|
# rpc_max_threads represents the maximum number of client requests this server may execute concurrently.
|
|
|
|
|
#
|
|
|
|
|
# rpc_min_threads: 16
|
|
|
|
|
# rpc_max_threads: 2048
|
|
|
|
|
|
|
|
|
|
# uncomment to set socket buffer sizes on rpc connections
|
|
|
|
|
# rpc_send_buff_size_in_bytes:
|
|
|
|
|
# rpc_recv_buff_size_in_bytes:
|
|
|
|
|
|
|
|
|
|
# Uncomment to set socket buffer size for internode communication
|
|
|
|
|
# Note that when setting this, the buffer size is limited by net.core.wmem_max
|
|
|
|
|
# and when not setting it it is defined by net.ipv4.tcp_wmem
|
|
|
|
|
# See:
|
|
|
|
|
# /proc/sys/net/core/wmem_max
|
|
|
|
|
# /proc/sys/net/core/rmem_max
|
|
|
|
|
# /proc/sys/net/ipv4/tcp_wmem
|
|
|
|
|
# /proc/sys/net/ipv4/tcp_wmem
|
|
|
|
|
# and: man tcp
|
|
|
|
|
# internode_send_buff_size_in_bytes:
|
|
|
|
|
# internode_recv_buff_size_in_bytes:
|
|
|
|
|
|
|
|
|
|
# Frame size for thrift (maximum message length).
|
|
|
|
|
thrift_framed_transport_size_in_mb: 15
|
|
|
|
|
|
|
|
|
|
# Set to true to have Cassandra create a hard link to each sstable
|
|
|
|
|
# flushed or streamed locally in a backups/ subdirectory of the
|
|
|
|
|
# keyspace data. Removing these links is the operator's
|
|
|
|
|
# responsibility.
|
|
|
|
|
incremental_backups: false
|
|
|
|
|
|
|
|
|
|
# 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
|
|
|
|
|
|
|
|
|
|
# Whether or not a snapshot is taken of the data before keyspace truncation
|
|
|
|
|
# or dropping of column families. The STRONGLY advised default of true
|
|
|
|
|
# should be used to provide data safety. If you set this flag to false, you will
|
|
|
|
|
# lose data on truncation or drop.
|
|
|
|
|
auto_snapshot: true
|
|
|
|
|
|
|
|
|
|
# When executing a scan, within or across a partition, we need to keep the
|
|
|
|
|
# tombstones seen in memory so we can return them to the coordinator, which
|
|
|
|
|
# will use them to make sure other replicas also know about the deleted rows.
|
|
|
|
|
# With workloads that generate a lot of tombstones, this can cause performance
|
|
|
|
|
# problems and even exaust the server heap.
|
|
|
|
|
# (http://www.datastax.com/dev/blog/cassandra-anti-patterns-queues-and-queue-like-datasets)
|
|
|
|
|
# Adjust the thresholds here if you understand the dangers and want to
|
|
|
|
|
# scan more tombstones anyway. These thresholds may also be adjusted at runtime
|
|
|
|
|
# using the StorageService mbean.
|
|
|
|
|
tombstone_warn_threshold: 1000
|
|
|
|
|
tombstone_failure_threshold: 100000
|
|
|
|
|
|
|
|
|
|
# Granularity of the collation index of rows within a partition.
|
|
|
|
|
# Increase if your rows are large, or if you have a very large
|
|
|
|
|
# number of rows per partition. The competing goals are these:
|
|
|
|
|
# 1) a smaller granularity means more index entries are generated
|
|
|
|
|
# and looking up rows withing the partition by collation column
|
|
|
|
|
# is faster
|
|
|
|
|
# 2) but, Cassandra will keep the collation index in memory for hot
|
|
|
|
|
# rows (as part of the key cache), so a larger granularity means
|
|
|
|
|
# you can cache more hot rows
|
|
|
|
|
column_index_size_in_kb: 64
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# Log WARN on any batch size exceeding this value. 5kb per batch by default.
|
|
|
|
|
# Caution should be taken on increasing the size of this threshold as it can lead to node instability.
|
|
|
|
|
batch_size_warn_threshold_in_kb: 5
|
|
|
|
|
|
|
|
|
|
# Number of simultaneous compactions to allow, NOT including
|
|
|
|
|
# validation "compactions" for anti-entropy repair. Simultaneous
|
|
|
|
|
# compactions can help preserve read performance in a mixed read/write
|
|
|
|
|
# workload, by mitigating the tendency of small sstables to accumulate
|
|
|
|
|
# during a single long running compactions. The default is usually
|
|
|
|
|
# fine and if you experience problems with compaction running too
|
|
|
|
|
# slowly or too fast, you should look at
|
|
|
|
|
# compaction_throughput_mb_per_sec first.
|
|
|
|
|
#
|
|
|
|
|
# concurrent_compactors defaults to the smaller of (number of disks,
|
|
|
|
|
# number of cores), with a minimum of 2 and a maximum of 8.
|
|
|
|
|
#
|
|
|
|
|
# If your data directories are backed by SSD, you should increase this
|
|
|
|
|
# to the number of cores.
|
|
|
|
|
#concurrent_compactors: 1
|
|
|
|
|
|
|
|
|
|
# Throttles compaction to the given total throughput across the entire
|
|
|
|
|
# system. The faster you insert data, the faster you need to compact in
|
|
|
|
|
# order to keep the sstable count down, but in general, setting this to
|
|
|
|
|
# 16 to 32 times the rate you are inserting data is more than sufficient.
|
|
|
|
|
# Setting this to 0 disables throttling. Note that this account for all types
|
|
|
|
|
# of compaction, including validation compaction.
|
|
|
|
|
compaction_throughput_mb_per_sec: 16
|
|
|
|
|
|
|
|
|
|
# When compacting, the replacement sstable(s) can be opened before they
|
|
|
|
|
# are completely written, and used in place of the prior sstables for
|
|
|
|
|
# any range that has been written. This helps to smoothly transfer reads
|
|
|
|
|
# between the sstables, reducing page cache churn and keeping hot rows hot
|
|
|
|
|
sstable_preemptive_open_interval_in_mb: 50
|
|
|
|
|
|
|
|
|
|
# Throttles all outbound streaming file transfers on this node to the
|
|
|
|
|
# given total throughput in Mbps. This is necessary because Cassandra does
|
|
|
|
|
# mostly sequential IO when streaming data during bootstrap or repair, which
|
|
|
|
|
# can lead to saturating the network connection and degrading rpc performance.
|
|
|
|
|
# When unset, the default is 200 Mbps or 25 MB/s.
|
|
|
|
|
# stream_throughput_outbound_megabits_per_sec: 200
|
|
|
|
|
|
|
|
|
|
# Throttles all streaming file transfer between the datacenters,
|
|
|
|
|
# this setting allows users to throttle inter dc stream throughput in addition
|
|
|
|
|
# to throttling all network stream traffic as configured with
|
|
|
|
|
# stream_throughput_outbound_megabits_per_sec
|
|
|
|
|
# inter_dc_stream_throughput_outbound_megabits_per_sec:
|
|
|
|
|
|
|
|
|
|
# How long the coordinator should wait for read operations to complete
|
|
|
|
|
read_request_timeout_in_ms: 5000
|
|
|
|
|
# How long the coordinator should wait for seq or index scans to complete
|
|
|
|
|
range_request_timeout_in_ms: 10000
|
|
|
|
|
# How long the coordinator should wait for writes to complete
|
|
|
|
|
write_request_timeout_in_ms: 2000
|
|
|
|
|
# How long the coordinator should wait for counter writes to complete
|
|
|
|
|
counter_write_request_timeout_in_ms: 5000
|
|
|
|
|
# How long a coordinator should continue to retry a CAS operation
|
|
|
|
|
# that contends with other proposals for the same row
|
|
|
|
|
cas_contention_timeout_in_ms: 1000
|
|
|
|
|
# How long the coordinator should wait for truncates to complete
|
|
|
|
|
# (This can be much longer, because unless auto_snapshot is disabled
|
|
|
|
|
# we need to flush first so we can snapshot before removing the data.)
|
|
|
|
|
truncate_request_timeout_in_ms: 60000
|
|
|
|
|
# The default timeout for other, miscellaneous operations
|
|
|
|
|
request_timeout_in_ms: 10000
|
|
|
|
|
|
|
|
|
|
# Enable operation timeout information exchange between nodes to accurately
|
|
|
|
|
# measure request timeouts. If disabled, replicas will assume that requests
|
|
|
|
|
# were forwarded to them instantly by the coordinator, which means that
|
|
|
|
|
# under overload conditions we will waste that much extra time processing
|
|
|
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# already-timed-out requests.
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#
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# Warning: before enabling this property make sure to ntp is installed
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# and the times are synchronized between the nodes.
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cross_node_timeout: false
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# Enable socket timeout for streaming operation.
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# When a timeout occurs during streaming, streaming is retried from the start
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# of the current file. This _can_ involve re-streaming an important amount of
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# data, so you should avoid setting the value too low.
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# Default value is 0, which never timeout streams.
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# streaming_socket_timeout_in_ms: 0
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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. The snitch has two functions:
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# - it teaches Cassandra enough about your network topology to route
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# requests efficiently
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# - it allows Cassandra to spread replicas around your cluster to avoid
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# correlated failures. It does this by grouping machines into
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# "datacenters" and "racks." Cassandra will do its best not to have
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# more than one replica on the same "rack" (which may not actually
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# be a physical location)
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#
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# IF YOU CHANGE THE SNITCH AFTER DATA IS INSERTED INTO THE CLUSTER,
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# YOU MUST RUN A FULL REPAIR, SINCE THE SNITCH AFFECTS WHERE REPLICAS
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# ARE PLACED.
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#
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# Out of the box, Cassandra provides
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# - SimpleSnitch:
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# Treats Strategy order as proximity. This can improve cache
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# locality when disabling read repair. Only appropriate for
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# single-datacenter deployments.
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# - GossipingPropertyFileSnitch
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# This should be your go-to snitch for production use. The rack
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# and datacenter for the local node are defined in
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# cassandra-rackdc.properties and propagated to other nodes via
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# gossip. If cassandra-topology.properties exists, it is used as a
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# fallback, allowing migration from the PropertyFileSnitch.
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# - PropertyFileSnitch:
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# Proximity is determined by rack and data center, which are
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# explicitly configured in cassandra-topology.properties.
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# - Ec2Snitch:
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# Appropriate for EC2 deployments in a single Region. Loads Region
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# and Availability Zone information from the EC2 API. The Region is
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# treated as the datacenter, and the Availability Zone as the rack.
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# Only private IPs are used, so this will not work across multiple
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# Regions.
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# - Ec2MultiRegionSnitch:
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# Uses public IPs as broadcast_address to allow cross-region
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# connectivity. (Thus, you should set seed addresses to the public
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# IP as well.) You will need to open the storage_port or
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# ssl_storage_port on the public IP firewall. (For intra-Region
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# traffic, Cassandra will switch to the private IP after
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# establishing a connection.)
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# - 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 IP
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# address, respectively. Unless this happens to match your
|
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|
|
# deployment conventions, this is best used as an example of
|
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# writing a custom Snitch class and is provided in that spirit.
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#
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# You can use a custom Snitch by setting this to the full class name
|
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# of the snitch, which will be assumed to be on your classpath.
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|
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endpoint_snitch: SimpleSnitch
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|
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# controls how often to perform the more expensive part of host score
|
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|
|
# calculation
|
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|
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dynamic_snitch_update_interval_in_ms: 100
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|
|
# controls how often to reset all host scores, allowing a bad host to
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# possibly recover
|
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|
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dynamic_snitch_reset_interval_in_ms: 600000
|
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|
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# if set greater than zero and read_repair_chance is < 1.0, this will allow
|
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|
|
# 'pinning' of replicas to hosts in order to increase cache capacity.
|
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|
|
# The badness threshold will control how much worse the pinned host has to be
|
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|
|
# before the dynamic snitch will prefer other replicas over it. This is
|
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|
|
# expressed as a double which represents a percentage. Thus, a value of
|
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|
|
# 0.2 means Cassandra would continue to prefer the static snitch values
|
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|
|
# until the pinned host was 20% worse than the fastest.
|
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|
|
dynamic_snitch_badness_threshold: 0.1
|
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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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|
|
|
|
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|
|
# Scheduler Options vary based on the type of scheduler
|
|
|
|
|
# NoScheduler - Has no options
|
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|
|
# 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 identifier based on which to perform
|
|
|
|
|
# the request scheduling. Currently the only valid option is keyspace.
|
|
|
|
|
# request_scheduler_id: keyspace
|
|
|
|
|
|
|
|
|
|
# Enable or disable inter-node encryption
|
|
|
|
|
# Default settings are TLS v1, RSA 1024-bit keys (it is imperative that
|
|
|
|
|
# users generate their own keys) TLS_RSA_WITH_AES_128_CBC_SHA as the cipher
|
|
|
|
|
# suite for authentication, key exchange and encryption of the actual data transfers.
|
|
|
|
|
# Use the DHE/ECDHE ciphers if running in FIPS 140 compliant mode.
|
|
|
|
|
# NOTE: No custom encryption options are enabled at the moment
|
|
|
|
|
# The available internode options are : all, none, dc, rack
|
|
|
|
|
#
|
|
|
|
|
# If set to dc cassandra will encrypt the traffic between the DCs
|
|
|
|
|
# If set to rack cassandra will encrypt the traffic between the racks
|
|
|
|
|
#
|
|
|
|
|
# The passwords used in these options must match the passwords used when generating
|
|
|
|
|
# the keystore and truststore. For instructions on generating these files, see:
|
|
|
|
|
# http://download.oracle.com/javase/6/docs/technotes/guides/security/jsse/JSSERefGuide.html#CreateKeystore
|
|
|
|
|
#
|
|
|
|
|
server_encryption_options:
|
|
|
|
|
internode_encryption: none
|
|
|
|
|
keystore: conf/.keystore
|
|
|
|
|
keystore_password: cassandra
|
|
|
|
|
truststore: conf/.truststore
|
|
|
|
|
truststore_password: cassandra
|
|
|
|
|
# More advanced defaults below:
|
|
|
|
|
# protocol: TLS
|
|
|
|
|
# algorithm: SunX509
|
|
|
|
|
# store_type: JKS
|
|
|
|
|
# cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA,TLS_DHE_RSA_WITH_AES_128_CBC_SHA,TLS_DHE_RSA_WITH_AES_256_CBC_SHA,TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA,TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA]
|
|
|
|
|
# require_client_auth: false
|
|
|
|
|
|
|
|
|
|
# enable or disable client/server encryption.
|
|
|
|
|
client_encryption_options:
|
|
|
|
|
enabled: false
|
|
|
|
|
keystore: conf/.keystore
|
|
|
|
|
keystore_password: cassandra
|
|
|
|
|
# require_client_auth: false
|
|
|
|
|
# Set trustore and truststore_password if require_client_auth is true
|
|
|
|
|
# truststore: conf/.truststore
|
|
|
|
|
# truststore_password: cassandra
|
|
|
|
|
# More advanced defaults below:
|
|
|
|
|
# protocol: TLS
|
|
|
|
|
# algorithm: SunX509
|
|
|
|
|
# store_type: JKS
|
|
|
|
|
# cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA,TLS_DHE_RSA_WITH_AES_128_CBC_SHA,TLS_DHE_RSA_WITH_AES_256_CBC_SHA,TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA,TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA]
|
|
|
|
|
|
|
|
|
|
# internode_compression controls whether traffic between nodes is
|
|
|
|
|
# compressed.
|
|
|
|
|
# can be: all - all traffic is compressed
|
|
|
|
|
# dc - traffic between different datacenters is compressed
|
|
|
|
|
# none - nothing is compressed.
|
|
|
|
|
internode_compression: all
|
|
|
|
|
|
|
|
|
|
# Enable or disable tcp_nodelay for inter-dc communication.
|
|
|
|
|
# Disabling it will result in larger (but fewer) network packets being sent,
|
|
|
|
|
# reducing overhead from the TCP protocol itself, at the cost of increasing
|
|
|
|
|
# latency if you block for cross-datacenter responses.
|
|
|
|
|
inter_dc_tcp_nodelay: false
|
Brendan Burns