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cassandra-hcd.yaml
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# Cassandra storage config YAML
# NOTE:
# See https://cassandra.apache.org/doc/latest/configuration/ 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.
#
# See https://cassandra.apache.org/doc/latest/getting_started/production.html#tokens for
# best practice information about num_tokens.
#
num_tokens: 16
# Triggers automatic allocation of num_tokens tokens for this node. The allocation
# algorithm attempts to choose tokens in a way that optimizes replicated load over
# the nodes in the datacenter for the replica factor.
#
# The load assigned to each node will be close to proportional to its number of
# vnodes.
#
# Only supported with the Murmur3Partitioner.
# Replica factor is determined via the replication strategy used by the specified
# keyspace.
# allocate_tokens_for_keyspace: KEYSPACE
# Replica factor is explicitly set, regardless of keyspace or datacenter.
# This is the replica factor within the datacenter, like NTS.
allocate_tokens_for_local_replication_factor: 3
# 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:
# May either be "true" or "false" to enable globally
hinted_handoff_enabled: true
# When hinted_handoff_enabled is true, a black list of data centers that will not
# perform hinted handoff
# hinted_handoff_disabled_datacenters:
# - DC1
# - DC2
# 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
# Directory where Cassandra should store hints.
# If not set, the default directory is $CASSANDRA_HOME/data/hints.
# hints_directory: /var/lib/cassandra/hints
# How often hints should be flushed from the internal buffers to disk.
# Will *not* trigger fsync.
hints_flush_period_in_ms: 10000
# Maximum size for a single hints file, in megabytes.
max_hints_file_size_in_mb: 128
# Compression to apply to the hint files. If omitted, hints files
# will be written uncompressed. LZ4, Snappy, and Deflate compressors
# are supported.
#hints_compression:
# - class_name: LZ4Compressor
# parameters:
# -
# 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.roles table.
# Please increase system_auth keyspace replication factor if you use this authenticator.
# If using PasswordAuthenticator, CassandraRoleManager must also be used (see below)
authenticator: PasswordAuthenticator
# 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.role_permissions table. Please
# increase system_auth keyspace replication factor if you use this authorizer.
authorizer: CassandraAuthorizer
# Part of the Authentication & Authorization backend, implementing IRoleManager; used
# to maintain grants and memberships between roles.
# Out of the box, Cassandra provides org.apache.cassandra.auth.CassandraRoleManager,
# which stores role information in the system_auth keyspace. Most functions of the
# IRoleManager require an authenticated login, so unless the configured IAuthenticator
# actually implements authentication, most of this functionality will be unavailable.
#
# - CassandraRoleManager stores role data in the system_auth keyspace. Please
# increase system_auth keyspace replication factor if you use this role manager.
role_manager: CassandraRoleManager
# Network authorization backend, implementing INetworkAuthorizer; used to restrict user
# access to certain DCs
# Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllNetworkAuthorizer,
# CassandraNetworkAuthorizer}.
#
# - AllowAllNetworkAuthorizer allows access to any DC to any user - set it to disable authorization.
# - CassandraNetworkAuthorizer stores permissions in system_auth.network_permissions table. Please
# increase system_auth keyspace replication factor if you use this authorizer.
network_authorizer: AllowAllNetworkAuthorizer
# Validity period for roles cache (fetching granted roles can be an expensive
# operation depending on the role manager, CassandraRoleManager is one example)
# Granted roles are cached for authenticated sessions in AuthenticatedUser and
# after the period specified here, become eligible for (async) reload.
# Defaults to 2000, set to 0 to disable caching entirely.
# Will be disabled automatically for AllowAllAuthenticator.
roles_validity_in_ms: 2000
# Refresh interval for roles 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 roles_validity_in_ms is non-zero, then this must be
# also.
# Defaults to the same value as roles_validity_in_ms.
# roles_update_interval_in_ms: 2000
# 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: 2000
# Validity period for credentials cache. This cache is tightly coupled to
# the provided PasswordAuthenticator implementation of IAuthenticator. If
# another IAuthenticator implementation is configured, this cache will not
# be automatically used and so the following settings will have no effect.
# Please note, credentials are cached in their encrypted form, so while
# activating this cache may reduce the number of queries made to the
# underlying table, it may not bring a significant reduction in the
# latency of individual authentication attempts.
# Defaults to 2000, set to 0 to disable credentials caching.
credentials_validity_in_ms: 2000
# Refresh interval for credentials 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 credentials_validity_in_ms is non-zero, then this must be
# also.
# Defaults to the same value as credentials_validity_in_ms.
# credentials_update_interval_in_ms: 2000
# The partitioner is responsible for distributing groups of rows (by
# partition key) across nodes in the cluster. The partitioner can NOT be
# changed without reloading all data. If you are adding nodes or upgrading,
# you should set this to the same partitioner that you are currently using.
#
# The default partitioner is the Murmur3Partitioner. Older partitioners
# such as the RandomPartitioner, ByteOrderedPartitioner, and
# OrderPreservingPartitioner have been included for backward compatibility only.
# For new clusters, you should NOT change this value.
#
partitioner: org.apache.cassandra.dht.Murmur3Partitioner
# Directories where Cassandra should store data on disk. If multiple
# directories are specified, Cassandra will spread data evenly across
# them by partitioning the token ranges.
# If not set, the default directory is $CASSANDRA_HOME/data/data.
# data_file_directories:
# - /var/lib/cassandra/data
# Metadata directory that holds information about the cluster, local node and its peers.
# Currently, only a single subdirectory called 'nodes' will be used.
# If not set, the default directory is $CASSANDRA_HOME/data/metadata.
# metadata_directory: /var/lib/cassandra/metadata
# Directory were Cassandra should store the data of the local system keyspaces.
# By default Cassandra will store the data of the local system keyspaces in the first of the data directories specified
# by data_file_directories.
# This approach ensures that if one of the other disks is lost Cassandra can continue to operate. For extra security
# this setting allows to store those data on a different directory that provides redundancy.
# local_system_data_file_directory:
# 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
# Enable / disable CDC functionality on a per-node basis. This modifies the logic used
# for write path allocation rejection (standard: never reject. cdc: reject Mutation
# containing a CDC-enabled table if at space limit in cdc_raw_directory).
cdc_enabled: false
# CommitLogSegments are moved to this directory on flush if cdc_enabled: true and the
# segment contains mutations for a CDC-enabled table. This should be placed on a
# separate spindle than the data directories. If not set, the default directory is
# $CASSANDRA_HOME/data/cdc_raw.
# cdc_raw_directory: /var/lib/cassandra/cdc_raw
# Policy for data disk failures:
#
# die
# shut down gossip and client transports and kill the JVM for any fs errors or
# single-sstable errors, so the node can be replaced.
#
# stop_paranoid
# shut down gossip and client transports even for single-sstable errors,
# kill the JVM for errors during startup.
#
# stop
# shut down gossip and client transports, leaving the node effectively dead, but
# can still be inspected via JMX, kill the JVM for errors during startup.
#
# 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 the node and kill the JVM, so the node can be replaced.
#
# stop
# shut down the node, 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 native protocol prepared statement cache
#
# Valid values are either "auto" (omitting the value) or a value greater 0.
#
# Note that specifying a too large value will result in long running GCs and possbily
# out-of-memory errors. Keep the value at a small fraction of the heap.
#
# If you constantly see "prepared statements discarded in the last minute because
# cache limit reached" messages, the first step is to investigate the root cause
# of these messages and check whether prepared statements are used correctly -
# i.e. use bind markers for variable parts.
#
# Do only change the default value, if you really have more prepared statements than
# fit in the cache. In most cases it is not neccessary to change this value.
# Constantly re-preparing statements is a performance penalty.
#
# Default value ("auto") is 1/256th of the heap or 10MB, whichever is greater
prepared_statements_cache_size_mb:
# 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
# Row cache implementation class name. Available implementations:
#
# org.apache.cassandra.cache.OHCProvider
# Fully off-heap row cache implementation (default).
#
# org.apache.cassandra.cache.SerializingCacheProvider
# This is the row cache implementation availabile
# in previous releases of Cassandra.
# row_cache_class_name: org.apache.cassandra.cache.OHCProvider
# Maximum size of the row cache in memory.
# Please note that OHC cache implementation requires some additional off-heap memory to manage
# the map structures and some in-flight memory during operations before/after cache entries can be
# accounted against the cache capacity. This overhead is usually small compared to the whole capacity.
# Do not specify more memory that the system can afford in the worst usual situation and leave some
# headroom for OS block level cache. Do never allow your system to swap.
#
# 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.
# Specify 0 (which is the 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
# saved caches
# If not set, the default directory is $CASSANDRA_HOME/data/saved_caches.
# saved_caches_directory: /var/lib/cassandra/saved_caches
# Number of seconds the server will wait for each cache (row, key, etc ...) to load while starting
# the Cassandra process. Setting this to a negative value is equivalent to disabling all cache loading on startup
# while still having the cache during runtime.
# cache_load_timeout_seconds: 30
# commitlog_sync may be either "periodic", "group", or "batch."
#
# When in batch mode, Cassandra won't ack writes until the commit log
# has been flushed to disk. Each incoming write will trigger the flush task.
# commitlog_sync_batch_window_in_ms is a deprecated value. Previously it had
# almost no value, and is being removed.
#
# commitlog_sync_batch_window_in_ms: 2
#
# group mode is similar to batch mode, where Cassandra will not ack writes
# until the commit log has been flushed to disk. The difference is group
# mode will wait up to commitlog_sync_group_window_in_ms between flushes.
#
# commitlog_sync_group_window_in_ms: 1000
#
# the default 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
# When in periodic commitlog mode, the number of milliseconds to block writes
# while waiting for a slow disk flush to complete.
# periodic_commitlog_sync_lag_block_in_ms:
# 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.
# Max mutation size is also configurable via max_mutation_size_in_kb setting in
# cassandra-hcd.yaml. The default is half the size commitlog_segment_size_in_mb * 1024.
# This should be positive and less than 2048.
#
# NOTE: If max_mutation_size_in_kb is set explicitly then commitlog_segment_size_in_mb must
# be set to at least twice the size of max_mutation_size_in_kb / 1024
#
commitlog_segment_size_in_mb: 32
# Compression to apply to the commit log. If omitted, the commit log
# will be written uncompressed. LZ4, Snappy, and Deflate compressors
# are supported.
# commitlog_compression:
# - class_name: LZ4Compressor
# parameters:
# -
# Compression to apply to SSTables as they flush for compressed tables.
# Note that tables without compression enabled do not respect this flag.
#
# As high ratio compressors like LZ4HC, Zstd, and Deflate can potentially
# block flushes for too long, the default is to flush with a known fast
# compressor in those cases. Options are:
#
# none : Flush without compressing blocks but while still doing checksums.
# fast : Flush with a fast compressor. If the table is already using a
# fast compressor that compressor is used.
# table: Always flush with the same compressor that the table uses. This
# was the pre 4.0 behavior.
#
# flush_compression: fast
# 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: "localhost"
# 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
# For materialized view writes, as there is a read involved, so this should
# be limited by the less of concurrent reads or concurrent writes.
concurrent_materialized_view_writes: 32
# Maximum memory to use for inter-node and client-server networking buffers.
#
# Defaults to the smaller of 1/16 of heap or 128MB. This pool is allocated off-heap,
# so is in addition to the memory allocated for heap. The cache also has on-heap
# overhead which is roughly 128 bytes per chunk (i.e. 0.2% of the reserved size
# if the default 64k chunk size is used).
# Memory is only allocated when needed.
# networking_cache_size_in_mb: 128
# Enable the sstable chunk cache. The chunk cache will store recently accessed
# sections of the sstable in-memory as uncompressed buffers.
file_cache_enabled: true
# Maximum memory to use for sstable chunk cache and buffer pooling.
# 32MB of this are reserved for pooling buffers, the rest is used for chunk cache
# that holds uncompressed sstable chunks.
# Defaults to the smaller of 1/4 of heap or 512MB. This pool is allocated off-heap,
# so is in addition to the memory allocated for heap. The cache also has on-heap
# overhead which is roughly 128 bytes per chunk (i.e. 0.2% of the reserved size
# if the default 64k chunk size is used).
# Memory is only allocated when needed.
# file_cache_size_in_mb: 512
# Flag indicating whether to allocate on or off heap when the sstable buffer
# pool is exhausted, that is when it has exceeded the maximum memory
# file_cache_size_in_mb, beyond which it will not cache buffers but allocate on request.
# buffer_pool_use_heap_if_exhausted: true
# The strategy for optimizing disk read
# Possible values are:
# ssd (for solid state disks, the default)
# spinning (for spinning disks)
# disk_optimization_strategy: ssd
# 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
# memtable_cleanup_threshold is deprecated. The default calculation
# is the only reasonable choice. See the comments on memtable_flush_writers
# for more information.
#
# Ratio of occupied non-flushing memtable size to total permitted size
# that will trigger a flush of the largest memtable. Larger 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
# off heap objects
memtable_allocation_type: offheap_objects
# Limit memory usage for Merkle tree calculations during repairs. The default
# is 1/16th of the available heap. The main tradeoff is that smaller trees
# have less resolution, which can lead to over-streaming data. If you see heap
# pressure during repairs, consider lowering this, but you cannot go below
# one megabyte. If you see lots of over-streaming, consider raising
# this or using subrange repair.
#
# For more details see https://issues.apache.org/jira/browse/CASSANDRA-14096.
#
# repair_session_space_in_mb:
# Total space to use for commit logs on disk.
#
# If space gets above this value, 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.
#
# The default value is the smaller of 8192, and 1/4 of the total space
# of the commitlog volume.
#
# commitlog_total_space_in_mb: 8192
# This sets the number of memtable flush writer threads per disk
# as well as the total number of memtables that can be flushed concurrently.
# These are generally a combination of compute and IO bound.
#
# Memtable flushing is more CPU efficient than memtable ingest and a single thread
# can keep up with the ingest rate of a whole server on a single fast disk
# until it temporarily becomes IO bound under contention typically with compaction.
# At that point you need multiple flush threads. At some point in the future
# it may become CPU bound all the time.
#
# You can tell if flushing is falling behind using the MemtablePool.BlockedOnAllocation
# metric which should be 0, but will be non-zero if threads are blocked waiting on flushing
# to free memory.
#
# memtable_flush_writers defaults to two for a single data directory.
# This means that two memtables can be flushed concurrently to the single data directory.
# If you have multiple data directories the default is one memtable flushing at a time
# but the flush will use a thread per data directory so you will get two or more writers.
#
# Two is generally enough to flush on a fast disk [array] mounted as a single data directory.
# Adding more flush writers will result in smaller more frequent flushes that introduce more
# compaction overhead.
#
# There is a direct tradeoff between number of memtables that can be flushed concurrently
# and flush size and frequency. More is not better you just need enough flush writers
# to never stall waiting for flushing to free memory.
#
#memtable_flush_writers: 2
# Total space to use for change-data-capture logs on disk.
#
# If space gets above this value, Cassandra will throw WriteTimeoutException
# on Mutations including tables with CDC enabled. A CDCCompactor is responsible
# for parsing the raw CDC logs and deleting them when parsing is completed.
#
# The default value is the min of 4096 mb and 1/8th of the total space
# of the drive where cdc_raw_directory resides.
# cdc_total_space_in_mb: 4096
# When we hit our cdc_raw limit and the CDCCompactor is either running behind
# or experiencing backpressure, we check at the following interval to see if any
# new space for cdc-tracked tables has been made available. Default to 250ms
# cdc_free_space_check_interval_ms: 250
# 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: true
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 legacy encrypted communication. This property is unused unless enabled in
# server_encryption_options (see below). As of cassandra 4.0, this property is deprecated
# as a single port can be used for either/both secure and insecure connections.
# 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.
#
# 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). If unresolvable
# it will fall back to InetAddress.getLoopbackAddress(), which is wrong for production systems.
#
# Setting listen_address to 0.0.0.0 is always wrong.
#
listen_address: localhost
# Set listen_address OR listen_interface, not both. Interfaces must correspond
# to a single address, IP aliasing is not supported.
# listen_interface: eth0
# 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_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: localhost
# When using multiple physical network interfaces, set this
# to true to listen on broadcast_address in addition to
# the listen_address, allowing nodes to communicate in both
# interfaces.
# Ignore this property if the network configuration automatically
# routes between the public and private networks such as EC2.
# listen_on_broadcast_address: false
# 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.
# The address on which the native transport is bound is defined by rpc_address.
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
# Enabling native transport encryption in client_encryption_options allows you to either use
# encryption for the standard port or to use a dedicated, additional port along with the unencrypted
# standard native_transport_port.
# Enabling client encryption and keeping native_transport_port_ssl disabled will use encryption
# for native_transport_port. Setting native_transport_port_ssl to a different value
# from native_transport_port will use encryption for native_transport_port_ssl while
# keeping native_transport_port unencrypted.
# native_transport_port_ssl: 9142
# The maximum threads for handling requests (note that idle threads are stopped
# after 30 seconds so there is not corresponding minimum setting).
# 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. If you're changing this parameter,
# you may want to adjust max_value_size_in_mb accordingly. This should be positive and less than 2048.
# 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
# Controls whether Cassandra honors older, yet currently supported, protocol versions.
# The default is true, which means all supported protocols will be honored.
native_transport_allow_older_protocols: true
# Controls when idle client connections are closed. Idle connections are ones that had neither reads
# nor writes for a time period.
#
# Clients may implement heartbeats by sending OPTIONS native protocol message after a timeout, which
# will reset idle timeout timer on the server side. To close idle client connections, corresponding
# values for heartbeat intervals have to be set on the client side.
#
# Idle connection timeouts are disabled by default.
# native_transport_idle_timeout_in_ms: 60000
# The address or interface to bind the native transport server to.
#
# Set rpc_address OR rpc_interface, not both.
#
# 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.
rpc_address: 0.0.0.0
# Set rpc_address OR rpc_interface, not both. Interfaces must correspond
# to a single address, IP aliasing is not supported.
# rpc_interface: eth1
# 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_interface_prefer_ipv6: false
# 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: localhost
# enable or disable keepalive on rpc/native connections
rpc_keepalive: true
# 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 also:
# /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_socket_send_buffer_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
# internode_socket_receive_buffer_size_in_bytes:
# 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
# The act of creating or clearing a snapshot involves creating or removing
# potentially tens of thousands of links, which can cause significant performance
# impact, especially on consumer grade SSDs. A non-zero value here can
# be used to throttle these links to avoid negative performance impact of
# taking and clearing snapshots
snapshot_links_per_second: 0
# 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:
#
# - a smaller granularity means more index entries are generated
# and looking up rows withing the partition by collation column
# is faster
# - 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
# Per sstable indexed key cache entries (the collation index in memory
# mentioned above) exceeding this size will not be held on heap.
# This means that only partition information is held on heap and the
# index entries are read from disk.
#
# Note that this size refers to the size of the
# serialized index information and not the size of the partition.
column_index_cache_size_in_kb: 2
# 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
# Number of simultaneous repair validations to allow. If not set or set to
# a value less than 1, it defaults to the value of concurrent_compactors.
# To set a value greeater than concurrent_compactors at startup, the system
# property cassandra.allow_unlimited_concurrent_validations must be set to
# true. To dynamically resize to a value > concurrent_compactors on a running
# node, first call the bypassConcurrentValidatorsLimit method on the
# org.apache.cassandra.db:type=StorageService mbean
# concurrent_validations: 0
# Number of simultaneous materialized view builder tasks to allow.
concurrent_materialized_view_builders: 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 accounts for all types
# of compaction, including validation compaction (building Merkle trees
# for repairs).
compaction_throughput_mb_per_sec: 64
# 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
# Starting from 4.1 sstables support UUID based generation identifiers. They are disabled by default
# because once enabled, there is no easy way to downgrade. When the node is restarted with this option
# set to true, each newly created sstable will have a UUID based generation identifier and such files are
# not readable by previous Cassandra versions. At some point, this option will become true by default
# and eventually get removed from the configuration.
# In Converged Cassandra, we enable this option by default
enable_uuid_sstable_identifiers: true
# When enabled, permits Cassandra to zero-copy stream entire eligible
# SSTables between nodes, including every component.
# This speeds up the network transfer significantly subject to
# throttling specified by stream_throughput_outbound_megabits_per_sec.
# Enabling this will reduce the GC pressure on sending and receiving node.
# When unset, the default is enabled. While this feature tries to keep the
# disks balanced, it cannot guarantee it. This feature will be automatically
# disabled if internode encryption is enabled.
# stream_entire_sstables: 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 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
# When unset, the default is 200 Mbps or 25 MB/s
# inter_dc_stream_throughput_outbound_megabits_per_sec: 200
# Server side timeouts for requests. The server will return a timeout exception
# to the client if it can't complete an operation within the corresponding
# timeout. Those settings are a protection against:
# 1) having client wait on an operation that might never terminate due to some
# failures.
# 2) operations that use too much CPU/read too much data (leading to memory build
# up) by putting a limit to how long an operation will execute.
# For this reason, you should avoid putting these settings too high. In other words,
# if you are timing out requests because of underlying resource constraints then
# increasing the timeout will just cause more problems. Of course putting them too
# low is equally ill-advised since clients could get timeouts even for successful
# operations just because the timeout setting is too tight.
# How long the coordinator should wait for read operations to complete.
# Lowest acceptable value is 10 ms.
read_request_timeout_in_ms: 5000
# How long the coordinator should wait for seq or index scans to complete.
# Lowest acceptable value is 10 ms.
range_request_timeout_in_ms: 10000
# How long the coordinator should wait for writes to complete.
# Lowest acceptable value is 10 ms.
write_request_timeout_in_ms: 2000
# How long the coordinator should wait for counter writes to complete.
# Lowest acceptable value is 10 ms.
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.
# Lowest acceptable value is 10 ms.
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.)
# Lowest acceptable value is 10 ms.
truncate_request_timeout_in_ms: 60000
# The default timeout for other, miscellaneous operations.
# Lowest acceptable value is 10 ms.
request_timeout_in_ms: 10000
# Defensive settings for protecting Cassandra from true network partitions.
# See (CASSANDRA-14358) for details.
#
# The amount of time to wait for internode tcp connections to establish.
# internode_tcp_connect_timeout_in_ms: 2000
#
# The amount of time unacknowledged data is allowed on a connection before we throw out the connection
# Note this is only supported on Linux + epoll, and it appears to behave oddly above a setting of 30000
# (it takes much longer than 30s) as of Linux 4.12. If you want something that high set this to 0
# which picks up the OS default and configure the net.ipv4.tcp_retries2 sysctl to be ~8.
# internode_tcp_user_timeout_in_ms: 30000
# The amount of time unacknowledged data is allowed on a streaming connection.
# The default is 5 minutes. Increase it or set it to 0 in order to increase the timeout.
# internode_streaming_tcp_user_timeout_in_ms: 300000
# Global, per-endpoint and per-connection limits imposed on messages queued for delivery to other nodes
# and waiting to be processed on arrival from other nodes in the cluster. These limits are applied to the on-wire
# size of the message being sent or received.
#
# The basic per-link limit is consumed in isolation before any endpoint or global limit is imposed.
# Each node-pair has three links: urgent, small and large. So any given node may have a maximum of
# N*3*(internode_application_send_queue_capacity_in_bytes+internode_application_receive_queue_capacity_in_bytes)
# messages queued without any coordination between them although in practice, with token-aware routing, only RF*tokens
# nodes should need to communicate with significant bandwidth.
#
# The per-endpoint limit is imposed on all messages exceeding the per-link limit, simultaneously with the global limit,
# on all links to or from a single node in the cluster.
# The global limit is imposed on all messages exceeding the per-link limit, simultaneously with the per-endpoint limit,
# on all links to or from any node in the cluster.
#
# internode_application_send_queue_capacity_in_bytes: 4194304 #4MiB
# internode_application_send_queue_reserve_endpoint_capacity_in_bytes: 134217728 #128MiB
# internode_application_send_queue_reserve_global_capacity_in_bytes: 536870912 #512MiB
# internode_application_receive_queue_capacity_in_bytes: 4194304 #4MiB
# internode_application_receive_queue_reserve_endpoint_capacity_in_bytes: 134217728 #128MiB
# internode_application_receive_queue_reserve_global_capacity_in_bytes: 536870912 #512MiB
# How long before a node logs slow queries. Select queries that take longer than
# this timeout to execute, will generate an aggregated log message, so that slow queries
# can be identified. Set this value to zero to disable slow query logging.
slow_query_log_timeout_in_ms: 500
# 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.