Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- # 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: 'Teads Cassandra 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: 85070591730234615865843651857942052864
- # See http://wiki.apache.org/cassandra/HintedHandoff
- hinted_handoff_enabled: true
- # this defines the maximum amount of time a dead host will have hints
- # generated. After it has been dead this long, hints will be dropped.
- max_hint_window_in_ms: 3600000 # one hour
- # Sleep this long after delivering each hint
- hinted_handoff_throttle_delay_in_ms: 1
- # The following setting populates the page cache on memtable flush and compaction
- # WARNING: Enable this setting only when the whole node's data fits in memory.
- # Defaults to: false
- # populate_io_cache_on_flush: false
- # 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
- # The partitioner is responsible for distributing rows (by key) across
- # nodes in the cluster. 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 (deprecated),
- # and org.apache.cassandra.dht.CollatingOrderPreservingPartitioner
- # (deprecated).
- #
- # - RandomPartitioner distributes rows across the cluster evenly by md5.
- # When in doubt, this is the best option.
- # - ByteOrderedPartitioner orders rows lexically by key bytes. BOP allows
- # scanning rows in key order, but the ordering can generate hot spots
- # for sequential insertion workloads.
- # - OrderPreservingPartitioner is an obsolete form of BOP, that stores
- # - keys in a less-efficient format and only works with keys that are
- # UTF8-encoded Strings.
- # - CollatingOPP colates according to EN,US rules rather than lexical byte
- # ordering. Use this as an example if you need custom collation.
- #
- # See http://wiki.apache.org/cassandra/Operations for more on
- # partitioners and token selection.
- partitioner: org.apache.cassandra.dht.RandomPartitioner
- # directories where Cassandra should store data on disk.
- data_file_directories:
- - /raid0/cassandra/data
- # commit log
- commitlog_directory: /raid0/cassandra/commitlog
- # Maximum size of the key cache in memory.
- #
- # Each key cache hit saves 1 seek and each row cache hit saves 2 seeks at the
- # minimum, sometimes more. The key cache is fairly tiny for the amount of
- # time it saves, so it's worthwhile to use it at large numbers.
- # The row cache saves even more time, but must store the whole values of
- # its rows, so it is extremely space-intensive. It's best to only use the
- # row cache if you have hot rows or static rows.
- #
- # NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
- #
- # Default value is empty to make it "auto" (min(5% of Heap (in MB), 100MB)). Set to 0 to disable key cache.
- key_cache_size_in_mb:
- # Duration in seconds after which Cassandra should
- # safe the keys cache. Caches are saved to saved_caches_directory as
- # specified in this configuration file.
- #
- # Saved caches greatly improve cold-start speeds, and is relatively cheap in
- # terms of I/O for the key cache. Row cache saving is much more expensive and
- # has limited use.
- #
- # Default is 14400 or 4 hours.
- key_cache_save_period: 14400
- # Number of keys from the key cache to save
- # Disabled by default, meaning all keys are going to be saved
- # key_cache_keys_to_save: 100
- # Maximum size of the row cache in memory.
- # NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
- #
- # Default value is 0, to disable row caching.
- row_cache_size_in_mb: 0
- # Duration in seconds after which Cassandra should
- # safe the row cache. Caches are saved to saved_caches_directory as specified
- # in this configuration file.
- #
- # Saved caches greatly improve cold-start speeds, and is relatively cheap in
- # terms of I/O for the key cache. Row cache saving is much more expensive and
- # has limited use.
- #
- # Default is 0 to disable saving the row cache.
- row_cache_save_period: 0
- # Number of keys from the row cache to save
- # Disabled by default, meaning all keys are going to be saved
- # row_cache_keys_to_save: 100
- # The provider for the row cache to use.
- #
- # Supported values are: ConcurrentLinkedHashCacheProvider, SerializingCacheProvider
- #
- # SerializingCacheProvider serialises the contents of the row and stores
- # it in native memory, i.e., off the JVM Heap. Serialized rows take
- # significantly less memory than "live" rows in the JVM, so you can cache
- # more rows in a given memory footprint. And storing the cache off-heap
- # means you can use smaller heap sizes, reducing the impact of GC pauses.
- #
- # It is also valid to specify the fully-qualified class name to a class
- # that implements org.apache.cassandra.cache.IRowCacheProvider.
- #
- # Defaults to SerializingCacheProvider
- row_cache_provider: SerializingCacheProvider
- # saved caches
- saved_caches_directory: /raid0/cassandra/saved_caches
- # commitlog_sync may be either "periodic" or "batch."
- # When in batch mode, Cassandra won't ack writes until the commit log
- # has been fsynced to disk. It will wait up to
- # commitlog_sync_batch_window_in_ms milliseconds for other writes, before
- # performing the sync.
- #
- # commitlog_sync: batch
- # commitlog_sync_batch_window_in_ms: 50
- #
- # the other option is "periodic" where writes may be acked immediately
- # and the CommitLog is simply synced every commitlog_sync_period_in_ms
- # milliseconds.
- commitlog_sync: periodic
- commitlog_sync_period_in_ms: 10000
- # Configure the Size of the individual Commitlog file. The
- # default is 128 MB, which is almost always fine, but if you are
- # archiving commitlog segments (see commitlog_archiving.properties),
- # then you probably want a finer granularity of archiving; 16 MB
- # is reasonable.
- #
- # commitlog_segment_size_in_mb: 128
- # any class that implements the SeedProvider interface and has a
- # constructor that takes a Map<String, String> of parameters will do.
- seed_provider:
- # 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!
- - class_name: org.apache.cassandra.locator.SimpleSeedProvider
- parameters:
- # seeds is actually a comma-delimited list of addresses.
- # Ex: "<ip1>,<ip2>,<ip3>"
- - seeds: "xxx.xxx.xxx.109,xxx.xxx.xxx.241"
- # emergency pressure valve: each time heap usage after a full (CMS)
- # garbage collection is above this fraction of the max, Cassandra will
- # flush the largest memtables.
- #
- # Set to 1.0 to disable. Setting this lower than
- # CMSInitiatingOccupancyFraction is not likely to be useful.
- #
- # RELYING ON THIS AS YOUR PRIMARY TUNING MECHANISM WILL WORK POORLY:
- # it is most effective under light to moderate load, or read-heavy
- # workloads; under truly massive write load, it will often be too
- # little, too late.
- flush_largest_memtables_at: 0.75
- # emergency pressure valve #2: the first time heap usage after a full
- # (CMS) garbage collection is above this fraction of the max,
- # Cassandra will reduce cache maximum _capacity_ to the given fraction
- # of the current _size_. Should usually be set substantially above
- # flush_largest_memtables_at, since that will have less long-term
- # impact on the system.
- #
- # Set to 1.0 to disable. Setting this lower than
- # CMSInitiatingOccupancyFraction is not likely to be useful.
- reduce_cache_sizes_at: 0.85
- reduce_cache_capacity_to: 0.6
- # For workloads with more data than can fit in memory, Cassandra's
- # bottleneck will be reads that need to fetch data from
- # disk. "concurrent_reads" should be set to (16 * number_of_drives) in
- # order to allow the operations to enqueue low enough in the stack
- # that the OS and drives can reorder them.
- #
- # On the other hand, since writes are almost never IO bound, the ideal
- # number of "concurrent_writes" is dependent on the number of cores in
- # your system; (8 * number_of_cores) is a good rule of thumb.
- concurrent_reads: 32
- concurrent_writes: 32
- # Total memory to use for memtables. Cassandra will flush the largest
- # memtable when this much memory is used.
- # If omitted, Cassandra will set it to 1/3 of the heap.
- # memtable_total_space_in_mb: 2048
- # Total space to use for commitlogs.
- # 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.
- commitlog_total_space_in_mb: 4096
- # 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
- # the number of full memtables to allow pending flush, that is,
- # waiting for a writer thread. At a minimum, this should be set to
- # the maximum number of secondary indexes created on a single CF.
- memtable_flush_queue_size: 4
- # 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 SSD:s; 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 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: xxx.xxx.xxx.109
- # 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
- # 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: 0.0.0.0
- # port for Thrift to listen for clients on
- rpc_port: 9160
- # enable or disable keepalive on rpc connections
- rpc_keepalive: true
- # Cassandra provides three options for the RPC Server:
- #
- # sync -> One connection per thread in the rpc pool (see below).
- # For a very large number of clients, memory will be your limiting
- # factor; on a 64 bit JVM, 128KB is the minimum stack size per thread.
- # Connection pooling is very, very strongly recommended.
- #
- # async -> Nonblocking server implementation with one thread to serve
- # rpc connections. This is not recommended for high throughput use
- # cases. Async has been tested to be about 50% slower than sync
- # or hsha and is deprecated: it will be removed in the next major release.
- #
- # hsha -> Stands for "half synchronous, half asynchronous." The rpc thread pool
- # (see below) is used to manage requests, but the threads are multiplexed
- # across the different clients.
- #
- # 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.
- rpc_server_type: hsha
- # Uncomment rpc_min|max|thread to set request pool size.
- # You would primarily set max for the sync server to safeguard against
- # misbehaved clients; if you do hit the max, Cassandra will block until one
- # disconnects before accepting more. The defaults for sync are min of 16 and max
- # unlimited.
- #
- # For the Hsha server, the min and max both default to quadruple the number of
- # CPU cores.
- #
- # This configuration is ignored by the async server.
- #
- # 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:
- # 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
- # 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
- # 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
- # 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.
- #
- # This setting has no effect on LeveledCompactionStrategy.
- #
- # concurrent_compactors defaults to the number of cores.
- # Uncomment to make compaction mono-threaded, the pre-0.8 default.
- #concurrent_compactors: 1
- # Multi-threaded compaction. When enabled, each compaction will use
- # up to one thread per core, plus one thread per sstable being merged.
- # This is usually only useful for SSD-based hardware: otherwise,
- # your concern is usually to get compaction to do LESS i/o (see:
- # compaction_throughput_mb_per_sec), not more.
- multithreaded_compaction: false
- # 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: 5
- # Track cached row keys during compaction, and re-cache their new
- # positions in the compacted sstable. Disable if you use really large
- # key caches.
- compaction_preheat_key_cache: true
- # 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 400 Mbps or 50 MB/s.
- # stream_throughput_outbound_megabits_per_sec: 400
- # Time to wait for a reply from other nodes before failing the command
- rpc_timeout_in_ms: 10000
- # Enable socket timeout for streaming operation.
- # When a timeout occurs during streaming, streaming is retried from the start
- # of the current file. This *can* involve re-streaming an important amount of
- # data, so you should avoid setting the value too low.
- # Default value is 0, which never timeout streams.
- # streaming_socket_timeout_in_ms: 0
- # 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. The snitch has two functions:
- # - it teaches Cassandra enough about your network topology to route
- # requests efficiently
- # - it allows Cassandra to spread replicas around your cluster to avoid
- # correlated failures. It does this by grouping machines into
- # "datacenters" and "racks." Cassandra will do its best not to have
- # more than one replica on the same "rack" (which may not actually
- # be a physical location)
- #
- # IF YOU CHANGE THE SNITCH AFTER DATA IS INSERTED INTO THE CLUSTER,
- # YOU MUST RUN A FULL REPAIR, SINCE THE SNITCH AFFECTS WHERE REPLICAS
- # ARE PLACED.
- #
- # Out of the box, Cassandra provides
- # - SimpleSnitch:
- # Treats Strategy order as proximity. This improves cache locality
- # when disabling read repair, which can further improve throughput.
- # Only appropriate for single-datacenter deployments.
- # - PropertyFileSnitch:
- # Proximity is determined by rack and data center, which are
- # explicitly configured in cassandra-topology.properties.
- # - GossipingPropertyFileSnitch
- # The rack and datacenter for the local node are defined in
- # cassandra-rackdc.properties and propagated to other nodes via gossip. If
- # cassandra-topology.properties exists, it is used as a fallback, allowing
- # migration from the PropertyFileSnitch.
- # - 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. Unless this happens to match your
- # deployment conventions (as it did Facebook's), this is best used
- # as an example of writing a custom Snitch class.
- # - Ec2Snitch:
- # Appropriate for EC2 deployments in a single Region. Loads Region
- # and Availability Zone information from the EC2 API. The Region is
- # treated as the Datacenter, and the Availability Zone as the rack.
- # Only private IPs are used, so this will not work across multiple
- # Regions.
- # - Ec2MultiRegionSnitch:
- # Uses public IPs as broadcast_address to allow cross-region
- # connectivity. (Thus, you should set seed addresses to the public
- # IP as well.) You will need to open the storage_port or
- # ssl_storage_port on the public IP firewall. (For intra-Region
- # traffic, Cassandra will switch to the private IP after
- # establishing a connection.)
- #
- # You can use a custom Snitch by setting this to the full class name
- # of the snitch, which will be assumed to be on your classpath.
- endpoint_snitch: Ec2Snitch
- # 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: 0.1
- # 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
- # index_interval controls the sampling of entries from the primrary
- # row index in terms of space versus time. The larger the interval,
- # the smaller and less effective the sampling will be. In technicial
- # terms, the interval coresponds to the number of index entries that
- # are skipped between taking each sample. All the sampled entries
- # must fit in memory. Generally, a value between 128 and 512 here
- # coupled with a large key cache size on CFs results in the best trade
- # offs. This value is not often changed, however if you have many
- # very small rows (many to an OS page), then increasing this will
- # often lower memory usage without a impact on performance.
- index_interval: 128
- # 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.
- # 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
- #
- 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]
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement