| # Cassandra storage config YAML |
| |
| # NOTE: |
| # See http://wiki.apache.org/cassandra/StorageConfiguration for |
| # full explanations of configuration directives |
| # /NOTE |
| |
| # The name of the cluster. This is mainly used to prevent machines in |
| # one logical cluster from joining another. |
| cluster_name: 'Test Cluster' |
| |
| # This defines the number of tokens randomly assigned to this node on the ring |
| # The more tokens, relative to other nodes, the larger the proportion of data |
| # that this node will store. You probably want all nodes to have the same number |
| # of tokens assuming they have equal hardware capability. |
| # |
| # If you leave this unspecified, Cassandra will use the default of 1 token for legacy compatibility, |
| # and will use the initial_token as described below. |
| # |
| # Specifying initial_token will override this setting on the node's initial start, |
| # on subsequent starts, this setting will apply even if initial token is set. |
| # |
| # If you already have a cluster with 1 token per node, and wish to migrate to |
| # multiple tokens per node, see http://wiki.apache.org/cassandra/Operations |
| num_tokens: 256 |
| |
| # initial_token allows you to specify tokens manually. While you can use # it with |
| # vnodes (num_tokens > 1, above) -- in which case you should provide a |
| # comma-separated list -- it's primarily used when adding nodes # to legacy clusters |
| # that do not have vnodes enabled. |
| # initial_token: |
| |
| # See http://wiki.apache.org/cassandra/HintedHandoff |
| # May either be "true" or "false" to enable globally, or contain a list |
| # of data centers to enable per-datacenter. |
| # hinted_handoff_enabled: DC1,DC2 |
| 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, new hints for it will not be |
| # created until it has been seen alive and gone down again. |
| max_hint_window_in_ms: 10800000 # 3 hours |
| # Maximum throttle in KBs per second, per delivery thread. This will be |
| # reduced proportionally to the number of nodes in the cluster. (If there |
| # are two nodes in the cluster, each delivery thread will use the maximum |
| # rate; if there are three, each will throttle to half of the maximum, |
| # since we expect two nodes to be delivering hints simultaneously.) |
| hinted_handoff_throttle_in_kb: 1024 |
| # Number of threads with which to deliver hints; |
| # Consider increasing this number when you have multi-dc deployments, since |
| # cross-dc handoff tends to be slower |
| max_hints_delivery_threads: 2 |
| |
| # Maximum throttle in KBs per second, total. This will be |
| # reduced proportionally to the number of nodes in the cluster. |
| batchlog_replay_throttle_in_kb: 1024 |
| |
| # Authentication backend, implementing IAuthenticator; used to identify users |
| # Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthenticator, |
| # PasswordAuthenticator}. |
| # |
| # - AllowAllAuthenticator performs no checks - set it to disable authentication. |
| # - PasswordAuthenticator relies on username/password pairs to authenticate |
| # users. It keeps usernames and hashed passwords in system_auth.credentials table. |
| # Please increase system_auth keyspace replication factor if you use this authenticator. |
| authenticator: AllowAllAuthenticator |
| |
| # Authorization backend, implementing IAuthorizer; used to limit access/provide permissions |
| # Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthorizer, |
| # CassandraAuthorizer}. |
| # |
| # - AllowAllAuthorizer allows any action to any user - set it to disable authorization. |
| # - CassandraAuthorizer stores permissions in system_auth.permissions table. Please |
| # increase system_auth keyspace replication factor if you use this authorizer. |
| authorizer: AllowAllAuthorizer |
| |
| # Validity period for permissions cache (fetching permissions can be an |
| # expensive operation depending on the authorizer, CassandraAuthorizer is |
| # one example). Defaults to 2000, set to 0 to disable. |
| # Will be disabled automatically for AllowAllAuthorizer. |
| permissions_validity_in_ms: 2000 |
| |
| # Refresh interval for permissions cache (if enabled). |
| # After this interval, cache entries become eligible for refresh. Upon next |
| # access, an async reload is scheduled and the old value returned until it |
| # completes. If permissions_validity_in_ms is non-zero, then this must be |
| # also. |
| # Defaults to the same value as permissions_validity_in_ms. |
| # permissions_update_interval_in_ms: 1000 |
| |
| # The partitioner is responsible for distributing groups of rows (by |
| # partition key) across nodes in the cluster. You should leave this |
| # alone for new clusters. The partitioner can NOT be changed without |
| # reloading all data, so when upgrading you should set this to the |
| # same partitioner you were already using. |
| # |
| # Besides Murmur3Partitioner, partitioners included for backwards |
| # compatibility include RandomPartitioner, ByteOrderedPartitioner, and |
| # OrderPreservingPartitioner. |
| # |
| partitioner: org.apache.cassandra.dht.Murmur3Partitioner |
| |
| # Directories where Cassandra should store data on disk. Cassandra |
| # will spread data evenly across them, subject to the granularity of |
| # the configured compaction strategy. |
| # If not set, the default directory is $CASSANDRA_HOME/data/data. |
| # data_file_directories: |
| # - /var/lib/cassandra/data |
| |
| # commit log. when running on magnetic HDD, this should be a |
| # separate spindle than the data directories. |
| # If not set, the default directory is $CASSANDRA_HOME/data/commitlog. |
| # commitlog_directory: /var/lib/cassandra/commitlog |
| |
| # policy for data disk failures: |
| # die: shut down gossip and Thrift and kill the JVM for any fs errors or |
| # single-sstable errors, so the node can be replaced. |
| # stop_paranoid: shut down gossip and Thrift even for single-sstable errors. |
| # stop: shut down gossip and Thrift, leaving the node effectively dead, but |
| # can still be inspected via JMX. |
| # best_effort: stop using the failed disk and respond to requests based on |
| # remaining available sstables. This means you WILL see obsolete |
| # data at CL.ONE! |
| # ignore: ignore fatal errors and let requests fail, as in pre-1.2 Cassandra |
| disk_failure_policy: stop |
| |
| # policy for commit disk failures: |
| # die: shut down gossip and Thrift and kill the JVM, so the node can be replaced. |
| # stop: shut down gossip and Thrift, leaving the node effectively dead, but |
| # can still be inspected via JMX. |
| # stop_commit: shutdown the commit log, letting writes collect but |
| # continuing to service reads, as in pre-2.0.5 Cassandra |
| # ignore: ignore fatal errors and let the batches fail |
| commit_failure_policy: stop |
| |
| # 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 contain the entire row, |
| # 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 |
| # save the key 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 |
| # save 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 |
| |
| # Maximum size of the counter cache in memory. |
| # |
| # Counter cache helps to reduce counter locks' contention for hot counter cells. |
| # In case of RF = 1 a counter cache hit will cause Cassandra to skip the read before |
| # write entirely. With RF > 1 a counter cache hit will still help to reduce the duration |
| # of the lock hold, helping with hot counter cell updates, but will not allow skipping |
| # the read entirely. Only the local (clock, count) tuple of a counter cell is kept |
| # in memory, not the whole counter, so it's relatively cheap. |
| # |
| # 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(2.5% of Heap (in MB), 50MB)). Set to 0 to disable counter cache. |
| # NOTE: if you perform counter deletes and rely on low gcgs, you should disable the counter cache. |
| counter_cache_size_in_mb: |
| |
| # Duration in seconds after which Cassandra should |
| # save the counter cache (keys only). Caches are saved to saved_caches_directory as |
| # specified in this configuration file. |
| # |
| # Default is 7200 or 2 hours. |
| counter_cache_save_period: 7200 |
| |
| # Number of keys from the counter cache to save |
| # Disabled by default, meaning all keys are going to be saved |
| # counter_cache_keys_to_save: 100 |
| |
| # The off-heap memory allocator. Affects storage engine metadata as |
| # well as caches. Experiments show that JEMAlloc saves some memory |
| # than the native GCC allocator (i.e., JEMalloc is more |
| # fragmentation-resistant). |
| # |
| # Supported values are: NativeAllocator, JEMallocAllocator |
| # |
| # If you intend to use JEMallocAllocator you have to install JEMalloc as library and |
| # modify cassandra-env.sh as directed in the file. |
| # |
| # Defaults to NativeAllocator |
| # memory_allocator: NativeAllocator |
| |
| # saved caches |
| # If not set, the default directory is $CASSANDRA_HOME/data/saved_caches. |
| # saved_caches_directory: /var/lib/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 |
| # commitlog_sync_batch_window_in_ms milliseconds between fsyncs. |
| # This window should be kept short because the writer threads will |
| # be unable to do extra work while waiting. (You may need to increase |
| # concurrent_writes for the same reason.) |
| # |
| # commitlog_sync: batch |
| # commitlog_sync_batch_window_in_ms: 2 |
| # |
| # 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 |
| |
| # The size of the individual commitlog file segments. A commitlog |
| # segment may be archived, deleted, or recycled once all the data |
| # in it (potentially from each columnfamily in the system) has been |
| # flushed to sstables. |
| # |
| # The default size is 32, 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; 8 or 16 MB |
| # is reasonable. |
| commitlog_segment_size_in_mb: 32 |
| |
| # 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: "127.0.0.1" |
| |
| # 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. Same applies to |
| # "concurrent_counter_writes", since counter writes read the current |
| # values before incrementing and writing them back. |
| # |
| # 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 |
| concurrent_counter_writes: 32 |
| |
| # Total memory to use for sstable-reading buffers. Defaults to |
| # the smaller of 1/4 of heap or 512MB. |
| # file_cache_size_in_mb: 512 |
| |
| # Total permitted memory to use for memtables. Cassandra will stop |
| # accepting writes when the limit is exceeded until a flush completes, |
| # and will trigger a flush based on memtable_cleanup_threshold |
| # If omitted, Cassandra will set both to 1/4 the size of the heap. |
| # memtable_heap_space_in_mb: 2048 |
| # memtable_offheap_space_in_mb: 2048 |
| |
| # Ratio of occupied non-flushing memtable size to total permitted size |
| # that will trigger a flush of the largest memtable. Lager mct will |
| # mean larger flushes and hence less compaction, but also less concurrent |
| # flush activity which can make it difficult to keep your disks fed |
| # 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 |
| # For security reasons, you should not expose this port to the internet. Firewall it if needed. |
| storage_port: 7000 |
| |
| # SSL port, for encrypted communication. Unused unless enabled in |
| # encryption_options |
| # For security reasons, you should not expose this port to the internet. Firewall it if needed. |
| 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. |
| # |
| # If you choose to specify the interface by name and the interface has an ipv4 and an ipv6 address |
| # you can specify which should be chosen using listen_interface_prefer_ipv6. If false the first ipv4 |
| # address will be used. If true the first ipv6 address will be used. Defaults to false preferring |
| # ipv4. If there is only one address it will be selected regardless of ipv4/ipv6. |
| listen_address: localhost |
| # listen_interface: eth0 |
| # listen_interface_prefer_ipv6: false |
| |
| # 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 |
| # For security reasons, you should not expose this port to the internet. Firewall it if needed. |
| 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 |
| |
| # The maximum number of concurrent client connections. |
| # The default is -1, which means unlimited. |
| # native_transport_max_concurrent_connections: -1 |
| |
| # The maximum number of concurrent client connections per source ip. |
| # The default is -1, which means unlimited. |
| # native_transport_max_concurrent_connections_per_ip: -1 |
| |
| # 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. |
| # |
| # For security reasons, you should not expose this port to the internet. Firewall it if needed. |
| # |
| # If you choose to specify the interface by name and the interface has an ipv4 and an ipv6 address |
| # you can specify which should be chosen using rpc_interface_prefer_ipv6. If false the first ipv4 |
| # address will be used. If true the first ipv6 address will be used. Defaults to false preferring |
| # ipv4. If there is only one address it will be selected regardless of ipv4/ipv6. |
| rpc_address: 0.0.0.0 |
| # rpc_interface: eth1 |
| # rpc_interface_prefer_ipv6: false |
| |
| # 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: 127.0.0.1 |
| |
| |
| |
| |
| |
| |
| # 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 |
| # already-timed-out requests. |
| # |
| # Warning: before enabling this property make sure to ntp is installed |
| # and the times are synchronized between the nodes. |
| cross_node_timeout: false |
| |
| # 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 can improve cache |
| # locality when disabling read repair. Only appropriate for |
| # single-datacenter deployments. |
| # - GossipingPropertyFileSnitch |
| # This should be your go-to snitch for production use. 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. |
| # - PropertyFileSnitch: |
| # Proximity is determined by rack and data center, which are |
| # explicitly configured in cassandra-topology.properties. |
| # - 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.) |
| # - 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, this is best used as an example of |
| # writing a custom Snitch class and is provided in that spirit. |
| # |
| # 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: SimpleSnitch |
| |
| # 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 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 |