JanusGraph ,生产环境安装

Part 1 Janusgraph 所需组的准备

######安装ElasticSearch
需要组建包括casandra 和 elasticsearsh 我们需要先在服务器上安装并准备这两个环境。首先从安装elasticsearch开始。此处可以参考中文版权威指南[ElasticSearch权威ie指南]https://es.xiaoleilu.com/010_Intro/10_Installing_ES.html.
安装可以使用rpm包完成，我使用的是rpm版本是6.2.4以下安装后给出提示。

准备中...                          ################################# [100%]
Creating elasticsearch group... OK
Creating elasticsearch user... OK
正在升级/安装...1:elasticsearch-0:6.2.4-1          ################################# [100%]### NOT starting on installation, please execute the following statements to configure elasticsearch service to start automatically using systemdsudo systemctl daemon-reloadsudo systemctl enable elasticsearch.service
### You can start elasticsearch service by executingsudo systemctl start elasticsearch.service

注意提示中说明，需要手动启elasticsearch，并配置开机自动启动。还需要注意的是，新版elasticsearch 在安装过程中，已经将es需要的用户和用户组设置好了。
安装过程注意使用root账号，作者使用sudo账号安装失败，切换后安装成功。成功后可以使用curl 命令测试安装结果

 curl 'http://localhost:9200/?pretty'

可选步骤包括给elasticsearch 安装监控程序 Marvel 安装前需要将elasticsearch 服务停止，命令如下

sudo systemctl stop elasticsearch.service

接下来安装marve 其具体的安装步骤见如下连接
[marvel 安装步骤详解]
https://www.elastic.co/guide/en/elasticsearch/reference/6.2/installing-xpack-es.html
笔者在安装marvel的时候，遇到问题。回退到rpm 安装的elasticsearch 的初始化版本。后续手动查看log,此处ElasticEearch 的安装工作暂时完成。

安装后可将/etc/elasticsearch/elasticsearch.yaml 中

network.host: 0.0.0.0 #开启es的外部访问

安装Cassandra

安装Cassandra 的方式建议采用rpm 源的方式非常简单。[Cassandra的官方安装教程]http://cassandra.apache.org/download/

sudo yum install cassandra  #代码示例，此处需要配置rpm源

安装过程可能会非常缓慢，需要耐心等待…
安装完成后需要重载服务，并启动Cassandra 服务

systemctl daemon-reload #重载服务
systemctl start cassandra.service #启动Cassandra

因为janusgraph 底层依赖thrift 进行rpc ，此处需要打开cassandra 的thrift 协议

./bin/nodetool enablethrift #打开thrift命令
#下面是打印的日志 开启thirft 打印的日志
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/apps/janusgraph-0.2.0-hadoop2/lib/slf4j-log4j12-1.7.12.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/apps/janusgraph-0.2.0-hadoop2/lib/logback-classic-1.1.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

#####配置启动JanusGraph
问题1：JanusGraph 与Cassandra 不连同

解决办法

打开cassandra的thrift连

nodetool enablethrift #在casandra的bin目录下执行

配置cassandra.yaml 文件使用cassandra主机地址进行广播。直接将cassandra.yaml文件内容贴在下面读者可作参考

# 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# 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 replication strategy used by the specified
# keyspace.
#
# The load assigned to each node will be close to proportional to its number of
# vnodes.
#
# Only supported with the Murmur3Partitioner.
# allocate_tokens_for_keyspace: KEYSPACE# 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
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: 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.role_permissions table. Please
#   increase system_auth keyspace replication factor if you use this authorizer.
authorizer: AllowAllAuthorizer# 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# 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.  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# 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 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 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 Thrift prepared statement cache
#
# If you do not use Thrift at all, it is safe to leave this value at "auto".
#
# See description of 'prepared_statements_cache_size_mb' above for more information.
#
# Default value ("auto") is 1/256th of the heap or 10MB, whichever is greater
thrift_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# 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.
# Max mutation size is also configurable via max_mutation_size_in_kb setting in
# cassandra.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:
#         -# 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.SimpleSeedProviderparameters:# 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# 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 sstable chunk cache and buffer pooling.
# 32MB of this are reserved for pooling buffers, the rest is used as an
# 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: heap_buffers# 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: 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.
#
# Leaving it blank leaves it up to InetAddress.getLocalHost(). This
# will always do the Right Thing _if_ the node is properly configured
# (hostname, name resolution, etc), and the Right Thing is to use the
# address associated with the hostname (it might not be).
#
# Setting listen_address to 0.0.0.0 is always wrong.
#
listen_address: 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: 1.2.3.4# 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.
# 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
# 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 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. 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# Whether to start the thrift rpc server.
start_rpc: false# The address or interface to bind the Thrift RPC service and 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: 192.168.1.99# 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# 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: 192.168.1.99# 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 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_send_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
# 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# 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# 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
# When unset, the default is 200 Mbps or 25 MB/s
# inter_dc_stream_throughput_outbound_megabits_per_sec: 200# 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# 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.
#
# Warning: before enabling this property make sure to ntp is installed
# and the times are synchronized between the nodes.
cross_node_timeout: false# Set keep-alive period for streaming
# This node will send a keep-alive message periodically with this period.
# If the node does not receive a keep-alive message from the peer for
# 2 keep-alive cycles the stream session times out and fail
# Default value is 300s (5 minutes), which means stalled stream
# times out in 10 minutes by default
# streaming_keep_alive_period_in_secs: 300# 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)
#
# CASSANDRA WILL NOT ALLOW YOU TO SWITCH TO AN INCOMPATIBLE SNITCH
# ONCE DATA IS INSERTED INTO THE CLUSTER.  This would cause data loss.
# This means that if you start with the default SimpleSnitch, which
# locates every node on "rack1" in "datacenter1", your only options
# if you need to add another datacenter are GossipingPropertyFileSnitch
# (and the older PFS).  From there, if you want to migrate to an
# incompatible snitch like Ec2Snitch you can do it by adding new nodes
# under Ec2Snitch (which will locate them in a new "datacenter") and
# decommissioning the old ones.
#
# 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
# JVM defaults for supported SSL socket protocols and cipher suites can
# be replaced using custom encryption options. This is not recommended
# unless you have policies in place that dictate certain settings, or
# need to disable vulnerable ciphers or protocols in case the JVM cannot
# be updated.
# FIPS compliant settings can be configured at JVM level and should not
# involve changing encryption settings here:
# https://docs.oracle.com/javase/8/docs/technotes/guides/security/jsse/FIPS.html
# *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: nonekeystore: conf/.keystorekeystore_password: cassandratruststore: conf/.truststoretruststore_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# require_endpoint_verification: false# enable or disable client/server encryption.
client_encryption_options:enabled: false# If enabled and optional is set to true encrypted and unencrypted connections are handled.optional: falsekeystore: conf/.keystorekeystore_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: dc# 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# TTL for different trace types used during logging of the repair process.
tracetype_query_ttl: 86400
tracetype_repair_ttl: 604800# By default, Cassandra logs GC Pauses greater than 200 ms at INFO level
# This threshold can be adjusted to minimize logging if necessary
# gc_log_threshold_in_ms: 200# If unset, all GC Pauses greater than gc_log_threshold_in_ms will log at
# INFO level
# UDFs (user defined functions) are disabled by default.
# As of Cassandra 3.0 there is a sandbox in place that should prevent execution of evil code.
enable_user_defined_functions: false# Enables scripted UDFs (JavaScript UDFs).
# Java UDFs are always enabled, if enable_user_defined_functions is true.
# Enable this option to be able to use UDFs with "language javascript" or any custom JSR-223 provider.
# This option has no effect, if enable_user_defined_functions is false.
enable_scripted_user_defined_functions: false# Enables materialized view creation on this node.
# Materialized views are considered experimental and are not recommended for production use.
enable_materialized_views: true# The default Windows kernel timer and scheduling resolution is 15.6ms for power conservation.
# Lowering this value on Windows can provide much tighter latency and better throughput, however
# some virtualized environments may see a negative performance impact from changing this setting
# below their system default. The sysinternals 'clockres' tool can confirm your system's default
# setting.
windows_timer_interval: 1# Enables encrypting data at-rest (on disk). Different key providers can be plugged in, but the default reads from
# a JCE-style keystore. A single keystore can hold multiple keys, but the one referenced by
# the "key_alias" is the only key that will be used for encrypt opertaions; previously used keys
# can still (and should!) be in the keystore and will be used on decrypt operations
# (to handle the case of key rotation).
#
# It is strongly recommended to download and install Java Cryptography Extension (JCE)
# Unlimited Strength Jurisdiction Policy Files for your version of the JDK.
# (current link: http://www.oracle.com/technetwork/java/javase/downloads/jce8-download-2133166.html)
#
# Currently, only the following file types are supported for transparent data encryption, although
# more are coming in future cassandra releases: commitlog, hints
transparent_data_encryption_options:enabled: falsechunk_length_kb: 64cipher: AES/CBC/PKCS5Paddingkey_alias: testing:1# CBC IV length for AES needs to be 16 bytes (which is also the default size)# iv_length: 16key_provider: - class_name: org.apache.cassandra.security.JKSKeyProviderparameters: - keystore: conf/.keystorekeystore_password: cassandrastore_type: JCEKSkey_password: cassandra#####################
# SAFETY THRESHOLDS #
###################### 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# Log WARN on any multiple-partition 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# Fail any multiple-partition batch exceeding this value. 50kb (10x warn threshold) by default.
batch_size_fail_threshold_in_kb: 50# Log WARN on any batches not of type LOGGED than span across more partitions than this limit
unlogged_batch_across_partitions_warn_threshold: 10# Log a warning when compacting partitions larger than this value
compaction_large_partition_warning_threshold_mb: 100# GC Pauses greater than gc_warn_threshold_in_ms will be logged at WARN level
# Adjust the threshold based on your application throughput requirement
# By default, Cassandra logs GC Pauses greater than 200 ms at INFO level
gc_warn_threshold_in_ms: 1000# Maximum size of any value in SSTables. Safety measure to detect SSTable corruption
# early. Any value size larger than this threshold will result into marking an SSTable
# as corrupted. This should be positive and less than 2048.
# max_value_size_in_mb: 256# Back-pressure settings #
# If enabled, the coordinator will apply the back-pressure strategy specified below to each mutation
# sent to replicas, with the aim of reducing pressure on overloaded replicas.
back_pressure_enabled: false
# The back-pressure strategy applied.
# The default implementation, RateBasedBackPressure, takes three arguments:
# high ratio, factor, and flow type, and uses the ratio between incoming mutation responses and outgoing mutation requests.
# If below high ratio, outgoing mutations are rate limited according to the incoming rate decreased by the given factor;
# if above high ratio, the rate limiting is increased by the given factor;
# such factor is usually best configured between 1 and 10, use larger values for a faster recovery
# at the expense of potentially more dropped mutations;
# the rate limiting is applied according to the flow type: if FAST, it's rate limited at the speed of the fastest replica,
# if SLOW at the speed of the slowest one.
# New strategies can be added. Implementors need to implement org.apache.cassandra.net.BackpressureStrategy and
# provide a public constructor accepting a Map<String, Object>.
back_pressure_strategy:- class_name: org.apache.cassandra.net.RateBasedBackPressureparameters:- high_ratio: 0.90factor: 5flow: FAST# Coalescing Strategies #
# Coalescing multiples messages turns out to significantly boost message processing throughput (think doubling or more).
# On bare metal, the floor for packet processing throughput is high enough that many applications won't notice, but in
# virtualized environments, the point at which an application can be bound by network packet processing can be
# surprisingly low compared to the throughput of task processing that is possible inside a VM. It's not that bare metal
# doesn't benefit from coalescing messages, it's that the number of packets a bare metal network interface can process
# is sufficient for many applications such that no load starvation is experienced even without coalescing.
# There are other benefits to coalescing network messages that are harder to isolate with a simple metric like messages
# per second. By coalescing multiple tasks together, a network thread can process multiple messages for the cost of one
# trip to read from a socket, and all the task submission work can be done at the same time reducing context switching
# and increasing cache friendliness of network message processing.
# See CASSANDRA-8692 for details.# Strategy to use for coalescing messages in OutboundTcpConnection.
# Can be fixed, movingaverage, timehorizon, disabled (default).
# You can also specify a subclass of CoalescingStrategies.CoalescingStrategy by name.
# otc_coalescing_strategy: DISABLED# How many microseconds to wait for coalescing. For fixed strategy this is the amount of time after the first
# message is received before it will be sent with any accompanying messages. For moving average this is the
# maximum amount of time that will be waited as well as the interval at which messages must arrive on average
# for coalescing to be enabled.
# otc_coalescing_window_us: 200# Do not try to coalesce messages if we already got that many messages. This should be more than 2 and less than 128.
# otc_coalescing_enough_coalesced_messages: 8# How many milliseconds to wait between two expiration runs on the backlog (queue) of the OutboundTcpConnection.
# Expiration is done if messages are piling up in the backlog. Droppable messages are expired to free the memory
# taken by expired messages. The interval should be between 0 and 1000, and in most installations the default value
# will be appropriate. A smaller value could potentially expire messages slightly sooner at the expense of more CPU
# time and queue contention while iterating the backlog of messages.
# An interval of 0 disables any wait time, which is the behavior of former Cassandra versions.
#
# otc_backlog_expiration_interval_ms: 200

解决超时问题配置gremlin-server.yaml

host: 0.0.0.0
port: 8182
scriptEvaluationTimeout: 30000000
channelizer: org.apache.tinkerpop.gremlin.server.channel.WebSocketChannelizer
graphs: {graph: conf/gremlin-server/janusgraph-cassandra-es-server.properties
}
plugins:- janusgraph.imports
scriptEngines: {gremlin-groovy: {imports: [java.lang.Math],staticImports: [java.lang.Math.PI],scripts: [scripts/empty-sample.groovy]}}
serializers:- { className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }}- { className: org.apache.tinkerpop.gremlin.driver.ser.GryoLiteMessageSerializerV1d0, config: {ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }}- { className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0, config: { serializeResultToString: true }}- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerGremlinV1d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistryV1d0] }}- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerGremlinV2d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }}- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV1d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistryV1d0] }}
processors:- { className: org.apache.tinkerpop.gremlin.server.op.session.SessionOpProcessor, config: { sessionTimeout: 28800000 }}- { className: org.apache.tinkerpop.gremlin.server.op.traversal.TraversalOpProcessor, config: { cacheExpirationTime: 600000, cacheMaxSize: 1000 }}
metrics: {consoleReporter: {enabled: true, interval: 180000},csvReporter: {enabled: true, interval: 180000, fileName: /tmp/gremlin-server-metrics.csv},jmxReporter: {enabled: true},slf4jReporter: {enabled: true, interval: 180000},gangliaReporter: {enabled: false, interval: 180000, addressingMode: MULTICAST},graphiteReporter: {enabled: false, interval: 180000}}
maxInitialLineLength: 4096
maxHeaderSize: 8192
maxChunkSize: 8192
maxContentLength: 65536
maxAccumulationBufferComponents: 1024
resultIterationBatchSize: 64
writeBufferLowWaterMark: 32768
writeBufferHighWaterMark: 65536

解决JanusGraph 于Es连接问题配置gremlin-cassandra-es.properties

# JanusGraph configuration sample: Cassandra & Elasticsearch over sockets
#
# This file connects to Cassandra and Elasticsearch services running
# on localhost over the Thrift API and the Elasticsearch native
# "Transport" API on their respective default ports.  The Cassandra
# and Elasticsearch services must already be running before starting
# JanusGraph with this file.# The primary persistence provider used by JanusGraph.  This is required.
# It should be set one of JanusGraph's built-in shorthand names for its
# standard storage backends (shorthands: berkeleyje, cassandrathrift,
# cassandra, astyanax, embeddedcassandra, cql, hbase, inmemory) or to the
# full package and classname of a custom/third-party StoreManager
# implementation.
#
# Default:    (no default value)
# Data Type:  String
# Mutability: LOCAL
storage.backend=cassandrathrift# The hostname or comma-separated list of hostnames of storage backend
# servers.  This is only applicable to some storage backends, such as
# cassandra and hbase.
#
# Default:    127.0.0.1
# Data Type:  class java.lang.String[]
# Mutability: LOCAL
storage.hostname=192.168.1.99# Whether to enable JanusGraph's database-level cache, which is shared
# across all transactions. Enabling this option speeds up traversals by
# holding hot graph elements in memory, but also increases the likelihood
# of reading stale data.  Disabling it forces each transaction to
# independently fetch graph elements from storage before reading/writing
# them.
#
# Default:    false
# Data Type:  Boolean
# Mutability: MASKABLE
cache.db-cache = true # How long, in milliseconds, database-level cache will keep entries after
# flushing them.  This option is only useful on distributed storage
# backends that are capable of acknowledging writes without necessarily
# making them immediately visible.
#
# Default:    50
# Data Type:  Integer
# Mutability: GLOBAL_OFFLINE
#
# Settings with mutability GLOBAL_OFFLINE are centrally managed in
# JanusGraph's storage backend.  After starting the database for the first
# time, this file's copy of this setting is ignored.  Use JanusGraph's
# Management System to read or modify this value after bootstrapping.
cache.db-cache-clean-wait = 20# Default expiration time, in milliseconds, for entries in the
# database-level cache. Entries are evicted when they reach this age even
# if the cache has room to spare. Set to 0 to disable expiration (cache
# entries live forever or until memory pressure triggers eviction when set
# to 0).
#
# Default:    10000
# Data Type:  Long
# Mutability: GLOBAL_OFFLINE
#
# Settings with mutability GLOBAL_OFFLINE are centrally managed in
# JanusGraph's storage backend.  After starting the database for the first
# time, this file's copy of this setting is ignored.  Use JanusGraph's
# Management System to read or modify this value after bootstrapping.
cache.db-cache-time = 180000# Size of JanusGraph's database level cache.  Values between 0 and 1 are
# interpreted as a percentage of VM heap, while larger values are
# interpreted as an absolute size in bytes.
#
# Default:    0.3
# Data Type:  Double
# Mutability: MASKABLE
cache.db-cache-size = 0.25# Connect to an already-running ES instance on localhost# The indexing backend used to extend and optimize JanusGraph's query
# functionality. This setting is optional.  JanusGraph can use multiple
# heterogeneous index backends.  Hence, this option can appear more than
# once, so long as the user-defined name between "index" and "backend" is
# unique among appearances.Similar to the storage backend, this should be
# set to one of JanusGraph's built-in shorthand names for its standard
# index backends (shorthands: lucene, elasticsearch, es, solr) or to the
# full package and classname of a custom/third-party IndexProvider
# implementation.
#
# Default:    elasticsearch
# Data Type:  String
# Mutability: GLOBAL_OFFLINE
#
# Settings with mutability GLOBAL_OFFLINE are centrally managed in
# JanusGraph's storage backend.  After starting the database for the first
# time, this file's copy of this setting is ignored.  Use JanusGraph's
# Management System to read or modify this value after bootstrapping.
index.search.backend = elasticsearch# The hostname or comma-separated list of hostnames of index backend
# servers.  This is only applicable to some index backends, such as
# elasticsearch and solr.
#
# Default:    127.0.0.1
# Data Type:  class java.lang.String[]
# Mutability: MASKABLE
index.search.hostname=localhost
index.search.elasticsearch.interface=REST_CLIENT
index.search.elasticsearch.create.ext.number_of_shards=15
index.search.elasticsearch.create.ext.number_of_replicas=3
index.search.elasticsearch.create.ext.shard.check_on_startup=true
gremlin.graph=org.janusgraph.core.JanusGraphFactory

下面是gremlin-server的启动命令

sudo sh /apps/janusgraph-0.2.0-hadoop2/bin/gremlin-server.sh  /apps/janusgraph-0.2.0-hadoop2/conf/gremlin-server/socket-gremlin-server.yaml