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cassandra-cql
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Fix travis configuration 

* Fix Java version check
* Add 1.1 and 1.2 conf files
* Fix gemcutter warning
This commit is contained in:
Vicent Llongo 2013-06-23 19:13:56 +03:00
parent 4d57295574
commit 3546cc027d
13 changed files with 1683 additions and 14 deletions
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22
.travis.yml
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@ -1,14 +1,22 @@
language: ruby
services:
- cassandra
rvm:
- "1.8.7"
- "1.9.2"
- "1.9.3"
- 1.8.7
- 1.9.2
- 1.9.3
# - jruby-18mode # JRuby in 1.8 mode
# - jruby-19mode # JRuby in 1.9 mode
- ree
# - rbx-18mode
# - rbx-19mode
# uncomment this line if your project needs to run something other than `rake`:
# script: bundle exec rspec spec
env:
- CASSANDRA_VERSION=1.2 CQL_VERSION=3.0.0
- CASSANDRA_VERSION=1.2 CQL_VERSION=2.0.0
- CASSANDRA_VERSION=1.1 CQL_VERSION=2.0.0
- CASSANDRA_VERSION=1.0 CQL_VERSION=2.0.0
- CASSANDRA_VERSION=0.8 CQL_VERSION=2.0.0
# these two requires Java 6, see https://github.com/travis-ci/travis-ci/issues/686
# - CASSANDRA_VERSION=0.7
# - CASSANDRA_VERSION=0.6
before_script:
- java -version
- bundle exec rake 'cassandra:start[daemonize]'

2
Gemfile
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@ -1,4 +1,4 @@
source :gemcutter
source "https://rubygems.org"
# Specify your gem's dependencies in cassandra-cql.gemspec
gemspec

35
Rakefile
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@ -6,8 +6,10 @@ require 'rspec/core'
require 'rspec/core/rake_task'
CassandraBinaries = {
'0.8' => 'http://archive.apache.org/dist/cassandra/0.8.8/apache-cassandra-0.8.8-bin.tar.gz',
'1.0' => 'http://archive.apache.org/dist/cassandra/1.0.5/apache-cassandra-1.0.5-bin.tar.gz',
'0.8' => 'http://archive.apache.org/dist/cassandra/0.8.9/apache-cassandra-0.8.9-bin.tar.gz',
'1.0' => 'http://archive.apache.org/dist/cassandra/1.0.9/apache-cassandra-1.0.9-bin.tar.gz',
'1.1' => 'http://archive.apache.org/dist/cassandra/1.1.9/apache-cassandra-1.1.9-bin.tar.gz',
'1.2' => 'http://archive.apache.org/dist/cassandra/1.2.5/apache-cassandra-1.2.5-bin.tar.gz'
}
CASSANDRA_VERSION = ENV['CASSANDRA_VERSION'] || '1.0'
@ -89,20 +91,39 @@ def running?(pid_file = nil)
false
end
def listening?(host, port)
TCPSocket.new(host, port).close
true
rescue Errno::ECONNREFUSED => e
false
end
namespace :cassandra do
desc "Start Cassandra"
task :start, [:daemonize] => :java do |t, args|
args.with_defaults(:daemonize => true)
setup_cassandra_version
env = setup_environment
Dir.chdir(File.join(CASSANDRA_HOME, "cassandra-#{CASSANDRA_VERSION}")) do
sh("env #{env} bin/cassandra #{'-f' unless args.daemonize} -p #{CASSANDRA_PIDFILE}")
end
$stdout.puts "Sleeping for 8 seconds to wait for Cassandra to start ..."
sleep(8)
if args.daemonize
end_time = Time.now + 30
host = '127.0.0.1'
port = 9160
until Time.now >= end_time || listening?(host, port)
puts "waiting for 127.0.0.1:9160"
sleep 0.1
end
unless listening?(host, port)
raise "timed out waiting for cassandra to start"
end
end
end
desc "Stop Cassandra"
@ -137,7 +158,9 @@ end
desc "Check Java version"
task :java do
unless `java -version 2>&1`.split("\n").first =~ /java version "1.6/ #"
is_java16 = `java -version 2>&1`.split("\n").first =~ /java version "1.6/
if ['0.6', '0.7'].include?(CASSANDRA_VERSION) && !java16
puts "You need to configure your environment for Java 1.6."
puts "If you're on OS X, just export the following environment variables:"
puts ' JAVA_HOME="/System/Library/Frameworks/JavaVM.framework/Versions/1.6/Home"'

41
spec/conf/1.1/cassandra.in.sh Executable file
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@ -0,0 +1,41 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
if [ "x$CASSANDRA_HOME" = "x" ]; then
CASSANDRA_HOME=`dirname $0`/..
fi
# The directory where Cassandra's configs live (required)
if [ "x$CASSANDRA_CONF" = "x" ]; then
CASSANDRA_CONF=$CASSANDRA_HOME/conf
fi
# This can be the path to a jar file, or a directory containing the
# compiled classes. NOTE: This isn't needed by the startup script,
# it's just used here in constructing the classpath.
cassandra_bin=$CASSANDRA_HOME/build/classes/main
cassandra_bin=$cassandra_bin:$CASSANDRA_HOME/build/classes/thrift
#cassandra_bin=$cassandra_home/build/cassandra.jar
# JAVA_HOME can optionally be set here
#JAVA_HOME=/usr/local/jdk6
# The java classpath (required)
CLASSPATH=$CASSANDRA_CONF:$cassandra_bin
for jar in $CASSANDRA_HOME/lib/*.jar; do
CLASSPATH=$CLASSPATH:$jar
done

567
spec/conf/1.1/cassandra.yaml Executable file
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@ -0,0 +1,567 @@
# 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'
# You should always specify InitialToken when setting up a production
# cluster for the first time, and often when adding capacity later.
# The principle is that each node should be given an equal slice of
# the token ring; see http://wiki.apache.org/cassandra/Operations
# for more details.
#
# If blank, Cassandra will request a token bisecting the range of
# the heaviest-loaded existing node. If there is no load information
# available, such as is the case with a new cluster, it will pick
# a random token, which will lead to hot spots.
initial_token:
# See http://wiki.apache.org/cassandra/HintedHandoff
hinted_handoff_enabled: true
# this defines the maximum amount of time a dead host will have hints
# generated. After it has been dead this long, hints will be dropped.
max_hint_window_in_ms: 3600000 # one hour
# Sleep this long after delivering each hint
hinted_handoff_throttle_delay_in_ms: 1
# The following setting populates the page cache on memtable flush and compaction
# WARNING: Enable this setting only when the whole node's data fits in memory.
# Defaults to: false
# populate_io_cache_on_flush: false
# authentication backend, implementing IAuthenticator; used to identify users
authenticator: org.apache.cassandra.auth.AllowAllAuthenticator
# authorization backend, implementing IAuthority; used to limit access/provide permissions
authority: org.apache.cassandra.auth.AllowAllAuthority
# The partitioner is responsible for distributing rows (by key) across
# nodes in the cluster. Any IPartitioner may be used, including your
# own as long as it is on the classpath. Out of the box, Cassandra
# provides org.apache.cassandra.dht.RandomPartitioner
# org.apache.cassandra.dht.ByteOrderedPartitioner,
# org.apache.cassandra.dht.OrderPreservingPartitioner (deprecated),
# and org.apache.cassandra.dht.CollatingOrderPreservingPartitioner
# (deprecated).
#
# - RandomPartitioner distributes rows across the cluster evenly by md5.
# When in doubt, this is the best option.
# - ByteOrderedPartitioner orders rows lexically by key bytes. BOP allows
# scanning rows in key order, but the ordering can generate hot spots
# for sequential insertion workloads.
# - OrderPreservingPartitioner is an obsolete form of BOP, that stores
# - keys in a less-efficient format and only works with keys that are
# UTF8-encoded Strings.
# - CollatingOPP colates according to EN,US rules rather than lexical byte
# ordering. Use this as an example if you need custom collation.
#
# See http://wiki.apache.org/cassandra/Operations for more on
# partitioners and token selection.
partitioner: org.apache.cassandra.dht.RandomPartitioner
# directories where Cassandra should store data on disk.
data_file_directories:
- data/data
# commit log
commitlog_directory: data/commitlog
# Maximum size of the key cache in memory.
#
# Each key cache hit saves 1 seek and each row cache hit saves 2 seeks at the
# minimum, sometimes more. The key cache is fairly tiny for the amount of
# time it saves, so it's worthwhile to use it at large numbers.
# The row cache saves even more time, but must store the whole values of
# its rows, so it is extremely space-intensive. It's best to only use the
# row cache if you have hot rows or static rows.
#
# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
#
# Default value is empty to make it "auto" (min(5% of Heap (in MB), 100MB)). Set to 0 to disable key cache.
key_cache_size_in_mb:
# Duration in seconds after which Cassandra should
# safe the keys cache. Caches are saved to saved_caches_directory as
# specified in this configuration file.
#
# Saved caches greatly improve cold-start speeds, and is relatively cheap in
# terms of I/O for the key cache. Row cache saving is much more expensive and
# has limited use.
#
# Default is 14400 or 4 hours.
key_cache_save_period: 14400
# Number of keys from the key cache to save
# Disabled by default, meaning all keys are going to be saved
# key_cache_keys_to_save: 100
# Maximum size of the row cache in memory.
# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
#
# Default value is 0, to disable row caching.
row_cache_size_in_mb: 0
# Duration in seconds after which Cassandra should
# safe the row cache. Caches are saved to saved_caches_directory as specified
# in this configuration file.
#
# Saved caches greatly improve cold-start speeds, and is relatively cheap in
# terms of I/O for the key cache. Row cache saving is much more expensive and
# has limited use.
#
# Default is 0 to disable saving the row cache.
row_cache_save_period: 0
# Number of keys from the row cache to save
# Disabled by default, meaning all keys are going to be saved
# row_cache_keys_to_save: 100
# The provider for the row cache to use.
#
# Supported values are: ConcurrentLinkedHashCacheProvider, SerializingCacheProvider
#
# SerializingCacheProvider serialises the contents of the row and stores
# it in native memory, i.e., off the JVM Heap. Serialized rows take
# significantly less memory than "live" rows in the JVM, so you can cache
# more rows in a given memory footprint. And storing the cache off-heap
# means you can use smaller heap sizes, reducing the impact of GC pauses.
#
# It is also valid to specify the fully-qualified class name to a class
# that implements org.apache.cassandra.cache.IRowCacheProvider.
#
# Defaults to SerializingCacheProvider
row_cache_provider: SerializingCacheProvider
# saved caches
saved_caches_directory: data/saved_caches
# commitlog_sync may be either "periodic" or "batch."
# When in batch mode, Cassandra won't ack writes until the commit log
# has been fsynced to disk. It will wait up to
# commitlog_sync_batch_window_in_ms milliseconds for other writes, before
# performing the sync.
#
# commitlog_sync: batch
# commitlog_sync_batch_window_in_ms: 50
#
# the other option is "periodic" where writes may be acked immediately
# and the CommitLog is simply synced every commitlog_sync_period_in_ms
# milliseconds.
commitlog_sync: periodic
commitlog_sync_period_in_ms: 10000
# The size of the individual commitlog file segments. A commitlog
# segment may be archived, deleted, or recycled once all the data
# in it (potentally from each columnfamily in the system) has been
# flushed to sstables.
#
# The default size is 32, which is almost always fine, but if you are
# archiving commitlog segments (see commitlog_archiving.properties),
# then you probably want a finer granularity of archiving; 8 or 16 MB
# is reasonable.
commitlog_segment_size_in_mb: 32
# any class that implements the SeedProvider interface and has a
# constructor that takes a Map<String, String> of parameters will do.
seed_provider:
# Addresses of hosts that are deemed contact points.
# Cassandra nodes use this list of hosts to find each other and learn
# the topology of the ring. You must change this if you are running
# multiple nodes!
- class_name: org.apache.cassandra.locator.SimpleSeedProvider
parameters:
# seeds is actually a comma-delimited list of addresses.
# Ex: "<ip1>,<ip2>,<ip3>"
- seeds: "127.0.0.1"
# emergency pressure valve: each time heap usage after a full (CMS)
# garbage collection is above this fraction of the max, Cassandra will
# flush the largest memtables.
#
# Set to 1.0 to disable. Setting this lower than
# CMSInitiatingOccupancyFraction is not likely to be useful.
#
# RELYING ON THIS AS YOUR PRIMARY TUNING MECHANISM WILL WORK POORLY:
# it is most effective under light to moderate load, or read-heavy
# workloads; under truly massive write load, it will often be too
# little, too late.
flush_largest_memtables_at: 0.75
# emergency pressure valve #2: the first time heap usage after a full
# (CMS) garbage collection is above this fraction of the max,
# Cassandra will reduce cache maximum _capacity_ to the given fraction
# of the current _size_. Should usually be set substantially above
# flush_largest_memtables_at, since that will have less long-term
# impact on the system.
#
# Set to 1.0 to disable. Setting this lower than
# CMSInitiatingOccupancyFraction is not likely to be useful.
reduce_cache_sizes_at: 0.85
reduce_cache_capacity_to: 0.6
# For workloads with more data than can fit in memory, Cassandra's
# bottleneck will be reads that need to fetch data from
# disk. "concurrent_reads" should be set to (16 * number_of_drives) in
# order to allow the operations to enqueue low enough in the stack
# that the OS and drives can reorder them.
#
# On the other hand, since writes are almost never IO bound, the ideal
# number of "concurrent_writes" is dependent on the number of cores in
# your system; (8 * number_of_cores) is a good rule of thumb.
concurrent_reads: 32
concurrent_writes: 32
# Total memory to use for memtables. Cassandra will flush the largest
# memtable when this much memory is used.
# If omitted, Cassandra will set it to 1/3 of the heap.
# memtable_total_space_in_mb: 2048
# Total space to use for commitlogs. Since commitlog segments are
# mmapped, and hence use up address space, the default size is 32
# on 32-bit JVMs, and 1024 on 64-bit JVMs.
#
# If space gets above this value (it will round up to the next nearest
# segment multiple), Cassandra will flush every dirty CF in the oldest
# segment and remove it. So a small total commitlog space will tend
# to cause more flush activity on less-active columnfamilies.
# commitlog_total_space_in_mb: 4096
# This sets the amount of memtable flush writer threads. These will
# be blocked by disk io, and each one will hold a memtable in memory
# while blocked. If you have a large heap and many data directories,
# you can increase this value for better flush performance.
# By default this will be set to the amount of data directories defined.
#memtable_flush_writers: 1
# the number of full memtables to allow pending flush, that is,
# waiting for a writer thread. At a minimum, this should be set to
# the maximum number of secondary indexes created on a single CF.
memtable_flush_queue_size: 4
# Whether to, when doing sequential writing, fsync() at intervals in
# order to force the operating system to flush the dirty
# buffers. Enable this to avoid sudden dirty buffer flushing from
# impacting read latencies. Almost always a good idea on SSD:s; not
# necessarily on platters.
trickle_fsync: false
trickle_fsync_interval_in_kb: 10240
# TCP port, for commands and data
storage_port: 7000
# SSL port, for encrypted communication. Unused unless enabled in
# encryption_options
ssl_storage_port: 7001
# Address to bind to and tell other Cassandra nodes to connect to. You
# _must_ change this if you want multiple nodes to be able to
# communicate!
#
# Leaving it blank leaves it up to InetAddress.getLocalHost(). This
# will always do the Right Thing *if* the node is properly configured
# (hostname, name resolution, etc), and the Right Thing is to use the
# address associated with the hostname (it might not be).
#
# Setting this to 0.0.0.0 is always wrong.
listen_address: localhost
# Address to broadcast to other Cassandra nodes
# Leaving this blank will set it to the same value as listen_address
# broadcast_address: 1.2.3.4
# The address to bind the Thrift RPC service to -- clients connect
# here. Unlike ListenAddress above, you *can* specify 0.0.0.0 here if
# you want Thrift to listen on all interfaces.
#
# Leaving this blank has the same effect it does for ListenAddress,
# (i.e. it will be based on the configured hostname of the node).
rpc_address: localhost
# port for Thrift to listen for clients on
rpc_port: 9160
# enable or disable keepalive on rpc connections
rpc_keepalive: true
# Cassandra provides three options for the RPC Server:
#
# sync -> One connection per thread in the rpc pool (see below).
# For a very large number of clients, memory will be your limiting
# factor; on a 64 bit JVM, 128KB is the minimum stack size per thread.
# Connection pooling is very, very strongly recommended.
#
# async -> Nonblocking server implementation with one thread to serve
# rpc connections. This is not recommended for high throughput use
# cases. Async has been tested to be about 50% slower than sync
# or hsha and is deprecated: it will be removed in the next major release.
#
# hsha -> Stands for "half synchronous, half asynchronous." The rpc thread pool
# (see below) is used to manage requests, but the threads are multiplexed
# across the different clients.
#
# The default is sync because on Windows hsha is about 30% slower. On Linux,
# sync/hsha performance is about the same, with hsha of course using less memory.
rpc_server_type: sync
# Uncomment rpc_min|max|thread to set request pool size.
# You would primarily set max for the sync server to safeguard against
# misbehaved clients; if you do hit the max, Cassandra will block until one
# disconnects before accepting more. The defaults for sync are min of 16 and max
# unlimited.
#
# For the Hsha server, the min and max both default to quadruple the number of
# CPU cores.
#
# This configuration is ignored by the async server.
#
# rpc_min_threads: 16
# rpc_max_threads: 2048
# uncomment to set socket buffer sizes on rpc connections
# rpc_send_buff_size_in_bytes:
# rpc_recv_buff_size_in_bytes:
# Frame size for thrift (maximum field length).
# 0 disables TFramedTransport in favor of TSocket. This option
# is deprecated; we strongly recommend using Framed mode.
thrift_framed_transport_size_in_mb: 15
# The max length of a thrift message, including all fields and
# internal thrift overhead.
thrift_max_message_length_in_mb: 16
# Set to true to have Cassandra create a hard link to each sstable
# flushed or streamed locally in a backups/ subdirectory of the
# Keyspace data. Removing these links is the operator's
# responsibility.
incremental_backups: false
# Whether or not to take a snapshot before each compaction. Be
# careful using this option, since Cassandra won't clean up the
# snapshots for you. Mostly useful if you're paranoid when there
# is a data format change.
snapshot_before_compaction: false
# Whether or not a snapshot is taken of the data before keyspace truncation
# or dropping of column families. The STRONGLY advised default of true
# should be used to provide data safety. If you set this flag to false, you will
# lose data on truncation or drop.
auto_snapshot: true
# Add column indexes to a row after its contents reach this size.
# Increase if your column values are large, or if you have a very large
# number of columns. The competing causes are, Cassandra has to
# deserialize this much of the row to read a single column, so you want
# it to be small - at least if you do many partial-row reads - but all
# the index data is read for each access, so you don't want to generate
# that wastefully either.
column_index_size_in_kb: 64
# Size limit for rows being compacted in memory. Larger rows will spill
# over to disk and use a slower two-pass compaction process. A message
# will be logged specifying the row key.
in_memory_compaction_limit_in_mb: 64
# Number of simultaneous compactions to allow, NOT including
# validation "compactions" for anti-entropy repair. Simultaneous
# compactions can help preserve read performance in a mixed read/write
# workload, by mitigating the tendency of small sstables to accumulate
# during a single long running compactions. The default is usually
# fine and if you experience problems with compaction running too
# slowly or too fast, you should look at
# compaction_throughput_mb_per_sec first.
#
# This setting has no effect on LeveledCompactionStrategy.
#
# concurrent_compactors defaults to the number of cores.
# Uncomment to make compaction mono-threaded, the pre-0.8 default.
#concurrent_compactors: 1
# Multi-threaded compaction. When enabled, each compaction will use
# up to one thread per core, plus one thread per sstable being merged.
# This is usually only useful for SSD-based hardware: otherwise,
# your concern is usually to get compaction to do LESS i/o (see:
# compaction_throughput_mb_per_sec), not more.
multithreaded_compaction: false
# Throttles compaction to the given total throughput across the entire
# system. The faster you insert data, the faster you need to compact in
# order to keep the sstable count down, but in general, setting this to
# 16 to 32 times the rate you are inserting data is more than sufficient.
# Setting this to 0 disables throttling. Note that this account for all types
# of compaction, including validation compaction.
compaction_throughput_mb_per_sec: 16
# Track cached row keys during compaction, and re-cache their new
# positions in the compacted sstable. Disable if you use really large
# key caches.
compaction_preheat_key_cache: true
# Throttles all outbound streaming file transfers on this node to the
# given total throughput in Mbps. This is necessary because Cassandra does
# mostly sequential IO when streaming data during bootstrap or repair, which
# can lead to saturating the network connection and degrading rpc performance.
# When unset, the default is 400 Mbps or 50 MB/s.
# stream_throughput_outbound_megabits_per_sec: 400
# Time to wait for a reply from other nodes before failing the command
rpc_timeout_in_ms: 10000
# Enable socket timeout for streaming operation.
# When a timeout occurs during streaming, streaming is retried from the start
# of the current file. This *can* involve re-streaming an important amount of
# data, so you should avoid setting the value too low.
# Default value is 0, which never timeout streams.
# streaming_socket_timeout_in_ms: 0
# phi value that must be reached for a host to be marked down.
# most users should never need to adjust this.
# phi_convict_threshold: 8
# endpoint_snitch -- Set this to a class that implements
# IEndpointSnitch. The snitch has two functions:
# - it teaches Cassandra enough about your network topology to route
# requests efficiently
# - it allows Cassandra to spread replicas around your cluster to avoid
# correlated failures. It does this by grouping machines into
# "datacenters" and "racks." Cassandra will do its best not to have
# more than one replica on the same "rack" (which may not actually
# be a physical location)
#
# IF YOU CHANGE THE SNITCH AFTER DATA IS INSERTED INTO THE CLUSTER,
# YOU MUST RUN A FULL REPAIR, SINCE THE SNITCH AFFECTS WHERE REPLICAS
# ARE PLACED.
#
# Out of the box, Cassandra provides
# - SimpleSnitch:
# Treats Strategy order as proximity. This improves cache locality
# when disabling read repair, which can further improve throughput.
# Only appropriate for single-datacenter deployments.
# - PropertyFileSnitch:
# Proximity is determined by rack and data center, which are
# explicitly configured in cassandra-topology.properties.
# - GossipingPropertyFileSnitch
# The rack and datacenter for the local node are defined in
# cassandra-rackdc.properties and propagated to other nodes via gossip. If
# cassandra-topology.properties exists, it is used as a fallback, allowing
# migration from the PropertyFileSnitch.
# - RackInferringSnitch:
# Proximity is determined by rack and data center, which are
# assumed to correspond to the 3rd and 2nd octet of each node's
# IP address, respectively. Unless this happens to match your
# deployment conventions (as it did Facebook's), this is best used
# as an example of writing a custom Snitch class.
# - Ec2Snitch:
# Appropriate for EC2 deployments in a single Region. Loads Region
# and Availability Zone information from the EC2 API. The Region is
# treated as the Datacenter, and the Availability Zone as the rack.
# Only private IPs are used, so this will not work across multiple
# Regions.
# - Ec2MultiRegionSnitch:
# Uses public IPs as broadcast_address to allow cross-region
# connectivity. (Thus, you should set seed addresses to the public
# IP as well.) You will need to open the storage_port or
# ssl_storage_port on the public IP firewall. (For intra-Region
# traffic, Cassandra will switch to the private IP after
# establishing a connection.)
#
# You can use a custom Snitch by setting this to the full class name
# of the snitch, which will be assumed to be on your classpath.
endpoint_snitch: 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 identifer based on which to perform
# the request scheduling. Currently the only valid option is keyspace.
# request_scheduler_id: keyspace
# index_interval controls the sampling of entries from the primrary
# row index in terms of space versus time. The larger the interval,
# the smaller and less effective the sampling will be. In technicial
# terms, the interval coresponds to the number of index entries that
# are skipped between taking each sample. All the sampled entries
# must fit in memory. Generally, a value between 128 and 512 here
# coupled with a large key cache size on CFs results in the best trade
# offs. This value is not often changed, however if you have many
# very small rows (many to an OS page), then increasing this will
# often lower memory usage without a impact on performance.
index_interval: 128
# Enable or disable inter-node encryption
# Default settings are TLS v1, RSA 1024-bit keys (it is imperative that
# users generate their own keys) TLS_RSA_WITH_AES_128_CBC_SHA as the cipher
# suite for authentication, key exchange and encryption of the actual data transfers.
# NOTE: No custom encryption options are enabled at the moment
# The available internode options are : all, none, dc, rack
#
# If set to dc cassandra will encrypt the traffic between the DCs
# If set to rack cassandra will encrypt the traffic between the racks
#
# The passwords used in these options must match the passwords used when generating
# the keystore and truststore. For instructions on generating these files, see:
# http://download.oracle.com/javase/6/docs/technotes/guides/security/jsse/JSSERefGuide.html#CreateKeystore
#
encryption_options:
internode_encryption: none
keystore: conf/.keystore
keystore_password: cassandra
truststore: conf/.truststore
truststore_password: cassandra
# More advanced defaults below:
# protocol: TLS
# algorithm: SunX509
# store_type: JKS
# cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA]

44
spec/conf/1.1/log4j-server.properties Executable file
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# for production, you should probably set pattern to %c instead of %l.
# (%l is slower.)
# output messages into a rolling log file as well as stdout
log4j.rootLogger=INFO,stdout,R
# stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%5p %d{HH:mm:ss,SSS} %m%n
# rolling log file
log4j.appender.R=org.apache.log4j.RollingFileAppender
log4j.appender.R.maxFileSize=20MB
log4j.appender.R.maxBackupIndex=50
log4j.appender.R.layout=org.apache.log4j.PatternLayout
log4j.appender.R.layout.ConversionPattern=%5p [%t] %d{ISO8601} %F (line %L) %m%n
# Edit the next line to point to your logs directory
log4j.appender.R.File=/var/log/cassandra/system.log
# Application logging options
#log4j.logger.org.apache.cassandra=DEBUG
#log4j.logger.org.apache.cassandra.db=DEBUG
#log4j.logger.org.apache.cassandra.service.StorageProxy=DEBUG
# Adding this to avoid thrift logging disconnect errors.
log4j.logger.org.apache.thrift.server.TNonblockingServer=ERROR

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spec/conf/1.1/schema.json Executable file
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{"Twitter":{
"Users":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"UserAudits":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"UserCounters":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard",
"default_validation_class":"CounterColumnType"},
"UserCounterAggregates":{
"subcomparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super",
"default_validation_class":"CounterColumnType"},
"UserRelationships":{
"subcomparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super"},
"Usernames":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"Statuses":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"StatusAudits":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"StatusRelationships":{
"subcomparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super"},
"Indexes":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super"},
"TimelinishThings":{
"comparator_type":"org.apache.cassandra.db.marshal.BytesType",
"column_type":"Standard"}
},
"Multiblog":{
"Blogs":{
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Standard"},
"Comments":{
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Standard"}
},
"MultiblogLong":{
"Blogs":{
"comparator_type":"org.apache.cassandra.db.marshal.LongType",
"column_type":"Standard"},
"Comments":{
"comparator_type":"org.apache.cassandra.db.marshal.LongType",
"column_type":"Standard"}
},
"TypeConversions":{
"UUIDColumnConversion":{
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Standard"},
"SuperUUID":{
"subcomparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Super"},
"CompositeColumnConversion":{
"comparator_type":"org.apache.cassandra.db.marshal.CompositeType(org.apache.cassandra.db.marshal.IntegerType,org.apache.cassandra.db.marshal.UTF8Type)",
"column_type":"Standard"},
"DynamicComposite":{
"comparator_type":"org.apache.cassandra.db.marshal.DynamicCompositeType(u=>org.apache.cassandra.db.marshal.UUIDType,t=>org.apache.cassandra.db.marshal.TimeUUIDType,s=>org.apache.cassandra.db.marshal.UTF8Type,b=>org.apache.cassandra.db.marshal.BytesType,a=>org.apache.cassandra.db.marshal.AsciiType,l=>org.apache.cassandra.db.marshal.LongType,x=>org.apache.cassandra.db.marshal.LexicalUUIDType,i=>org.apache.cassandra.db.marshal.IntegerType)",
"column_type":"Standard"}
}
}

57
spec/conf/1.1/schema.txt Executable file
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create keyspace Twitter with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use Twitter;
create column family Users with comparator = 'UTF8Type';
create column family UserAudits with comparator = 'UTF8Type';
create column family UserCounters with comparator = 'UTF8Type' and
default_validation_class = CounterColumnType;
create column family UserCounterAggregates with column_type = 'Super'
and comparator = 'UTF8Type' and
subcomparator = 'UTF8Type' and
default_validation_class = CounterColumnType;
create column family UserRelationships with
comparator = 'UTF8Type' and
column_type = 'Super' and
subcomparator = 'TimeUUIDType';
create column family Usernames with comparator = 'UTF8Type';
create column family Statuses
with comparator = 'UTF8Type'
and column_metadata = [
{column_name: 'tags', validation_class: 'BytesType', index_type: 'KEYS'}
];
create column family StatusAudits with comparator = 'UTF8Type';
create column family StatusRelationships with
comparator = 'UTF8Type' and
column_type = 'Super' and
subcomparator = 'TimeUUIDType';
create column family Indexes with
comparator = 'UTF8Type' and
column_type = 'Super';
create column family TimelinishThings with
comparator = 'BytesType';
create keyspace Multiblog with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use Multiblog;
create column family Blogs with comparator = 'TimeUUIDType';
create column family Comments with comparator = 'TimeUUIDType';
create keyspace MultiblogLong with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use MultiblogLong;
create column family Blogs with comparator = 'LongType';
create column family Comments with comparator = 'LongType';
create keyspace TypeConversions with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use TypeConversions;
create column family UUIDColumnConversion with comparator = TimeUUIDType;
create column family SuperUUID with comparator = TimeUUIDType and column_type = Super;
create column family CompositeColumnConversion with comparator = 'CompositeType(IntegerType, UTF8Type)';
create column family DynamicComposite with comparator ='DynamicCompositeType
(a=>AsciiType,b=>BytesType,i=>IntegerType,x=>LexicalUUIDType,l=>LongType,t=>TimeUUIDType,s=>UTF8Type,u=>UUIDType)';

41
spec/conf/1.2/cassandra.in.sh Executable file
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
if [ "x$CASSANDRA_HOME" = "x" ]; then
CASSANDRA_HOME=`dirname $0`/..
fi
# The directory where Cassandra's configs live (required)
if [ "x$CASSANDRA_CONF" = "x" ]; then
CASSANDRA_CONF=$CASSANDRA_HOME/conf
fi
# This can be the path to a jar file, or a directory containing the
# compiled classes. NOTE: This isn't needed by the startup script,
# it's just used here in constructing the classpath.
cassandra_bin=$CASSANDRA_HOME/build/classes/main
cassandra_bin=$cassandra_bin:$CASSANDRA_HOME/build/classes/thrift
#cassandra_bin=$cassandra_home/build/cassandra.jar
# JAVA_HOME can optionally be set here
#JAVA_HOME=/usr/local/jdk6
# The java classpath (required)
CLASSPATH=$CASSANDRA_CONF:$cassandra_bin
for jar in $CASSANDRA_HOME/lib/*.jar; do
CLASSPATH=$CLASSPATH:$jar
done

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spec/conf/1.2/cassandra.yaml Normal file
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# 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.
#
# 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
# If you haven't specified num_tokens, or have set it to the default of 1 then
# you should always specify InitialToken when setting up a production
# cluster for the first time, and often when adding capacity later.
# The principle is that each node should be given an equal slice of
# the token ring; see http://wiki.apache.org/cassandra/Operations
# for more details.
#
# If blank, Cassandra will request a token bisecting the range of
# the heaviest-loaded existing node. If there is no load information
# available, such as is the case with a new cluster, it will pick
# a random token, which will lead to hot spots.
initial_token:
# See http://wiki.apache.org/cassandra/HintedHandoff
hinted_handoff_enabled: true
# this defines the maximum amount of time a dead host will have hints
# generated. After it has been dead this long, hints will be dropped.
max_hint_window_in_ms: 3600000 # 1 hours
# throttle in KB's per second, per delivery thread
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
# The following setting populates the page cache on memtable flush and compaction
# WARNING: Enable this setting only when the whole node's data fits in memory.
# Defaults to: false
# populate_io_cache_on_flush: false
# authentication backend, implementing IAuthenticator; used to identify users
authenticator: org.apache.cassandra.auth.AllowAllAuthenticator
# authorization backend, implementing IAuthorizer; used to limit access/provide permissions
authorizer: org.apache.cassandra.auth.AllowAllAuthorizer
# The partitioner is responsible for distributing rows (by key) across
# nodes in the cluster. Any IPartitioner may be used, including your
# own as long as it is on the classpath. Out of the box, Cassandra
# provides org.apache.cassandra.dht.{Murmur3Partitioner, RandomPartitioner
# ByteOrderedPartitioner, OrderPreservingPartitioner (deprecated)}.
#
# - RandomPartitioner distributes rows across the cluster evenly by md5.
# This is the default prior to 1.2 and is retained for compatibility.
# - Murmur3Partitioner is similar to RandomPartioner but uses Murmur3_128
# Hash Function instead of md5. When in doubt, this is the best option.
# - ByteOrderedPartitioner orders rows lexically by key bytes. BOP allows
# scanning rows in key order, but the ordering can generate hot spots
# for sequential insertion workloads.
# - OrderPreservingPartitioner is an obsolete form of BOP, that stores
# - keys in a less-efficient format and only works with keys that are
# UTF8-encoded Strings.
# - CollatingOPP colates according to EN,US rules rather than lexical byte
# ordering. Use this as an example if you need custom collation.
#
# See http://wiki.apache.org/cassandra/Operations for more on
# partitioners and token selection.
partitioner: org.apache.cassandra.dht.Murmur3Partitioner
# directories where Cassandra should store data on disk.
data_file_directories:
- data/data
# commit log
commitlog_directory: data/commitlog
# policy for data disk failures:
# stop: shut down gossip and Thrift, leaving the node effectively dead, but
# still inspectable via JMX.
# best_effort: stop using the failed disk and respond to requests based on
# remaining available sstables. This means you WILL see obsolete
# data at CL.ONE!
# ignore: ignore fatal errors and let requests fail, as in pre-1.2 Cassandra
disk_failure_policy: stop
# Maximum size of the key cache in memory.
#
# Each key cache hit saves 1 seek and each row cache hit saves 2 seeks at the
# minimum, sometimes more. The key cache is fairly tiny for the amount of
# time it saves, so it's worthwhile to use it at large numbers.
# The row cache saves even more time, but must store the whole values of
# its rows, so it is extremely space-intensive. It's best to only use the
# row cache if you have hot rows or static rows.
#
# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
#
# Default value is empty to make it "auto" (min(5% of Heap (in MB), 100MB)). Set to 0 to disable key cache.
key_cache_size_in_mb:
# Duration in seconds after which Cassandra should
# safe the keys cache. Caches are saved to saved_caches_directory as
# specified in this configuration file.
#
# Saved caches greatly improve cold-start speeds, and is relatively cheap in
# terms of I/O for the key cache. Row cache saving is much more expensive and
# has limited use.
#
# Default is 14400 or 4 hours.
key_cache_save_period: 14400
# Number of keys from the key cache to save
# Disabled by default, meaning all keys are going to be saved
# key_cache_keys_to_save: 100
# Maximum size of the row cache in memory.
# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
#
# Default value is 0, to disable row caching.
row_cache_size_in_mb: 0
# Duration in seconds after which Cassandra should
# safe the row cache. Caches are saved to saved_caches_directory as specified
# in this configuration file.
#
# Saved caches greatly improve cold-start speeds, and is relatively cheap in
# terms of I/O for the key cache. Row cache saving is much more expensive and
# has limited use.
#
# Default is 0 to disable saving the row cache.
row_cache_save_period: 0
# Number of keys from the row cache to save
# Disabled by default, meaning all keys are going to be saved
# row_cache_keys_to_save: 100
# The provider for the row cache to use.
#
# Supported values are: ConcurrentLinkedHashCacheProvider, SerializingCacheProvider
#
# SerializingCacheProvider serialises the contents of the row and stores
# it in native memory, i.e., off the JVM Heap. Serialized rows take
# significantly less memory than "live" rows in the JVM, so you can cache
# more rows in a given memory footprint. And storing the cache off-heap
# means you can use smaller heap sizes, reducing the impact of GC pauses.
#
# It is also valid to specify the fully-qualified class name to a class
# that implements org.apache.cassandra.cache.IRowCacheProvider.
#
# Defaults to SerializingCacheProvider
row_cache_provider: SerializingCacheProvider
# saved caches
saved_caches_directory: data/saved_caches
# commitlog_sync may be either "periodic" or "batch."
# When in batch mode, Cassandra won't ack writes until the commit log
# has been fsynced to disk. It will wait up to
# commitlog_sync_batch_window_in_ms milliseconds for other writes, before
# performing the sync.
#
# commitlog_sync: batch
# commitlog_sync_batch_window_in_ms: 50
#
# the other option is "periodic" where writes may be acked immediately
# and the CommitLog is simply synced every commitlog_sync_period_in_ms
# milliseconds.
commitlog_sync: periodic
commitlog_sync_period_in_ms: 10000
# The size of the individual commitlog file segments. A commitlog
# segment may be archived, deleted, or recycled once all the data
# in it (potentally from each columnfamily in the system) has been
# flushed to sstables.
#
# The default size is 32, which is almost always fine, but if you are
# archiving commitlog segments (see commitlog_archiving.properties),
# then you probably want a finer granularity of archiving; 8 or 16 MB
# is reasonable.
commitlog_segment_size_in_mb: 32
# any class that implements the SeedProvider interface and has a
# constructor that takes a Map<String, String> of parameters will do.
seed_provider:
# Addresses of hosts that are deemed contact points.
# Cassandra nodes use this list of hosts to find each other and learn
# the topology of the ring. You must change this if you are running
# multiple nodes!
- class_name: org.apache.cassandra.locator.SimpleSeedProvider
parameters:
# seeds is actually a comma-delimited list of addresses.
# Ex: "<ip1>,<ip2>,<ip3>"
- seeds: "127.0.0.1"
# emergency pressure valve: each time heap usage after a full (CMS)
# garbage collection is above this fraction of the max, Cassandra will
# flush the largest memtables.
#
# Set to 1.0 to disable. Setting this lower than
# CMSInitiatingOccupancyFraction is not likely to be useful.
#
# RELYING ON THIS AS YOUR PRIMARY TUNING MECHANISM WILL WORK POORLY:
# it is most effective under light to moderate load, or read-heavy
# workloads; under truly massive write load, it will often be too
# little, too late.
flush_largest_memtables_at: 0.75
# emergency pressure valve #2: the first time heap usage after a full
# (CMS) garbage collection is above this fraction of the max,
# Cassandra will reduce cache maximum _capacity_ to the given fraction
# of the current _size_. Should usually be set substantially above
# flush_largest_memtables_at, since that will have less long-term
# impact on the system.
#
# Set to 1.0 to disable. Setting this lower than
# CMSInitiatingOccupancyFraction is not likely to be useful.
reduce_cache_sizes_at: 0.85
reduce_cache_capacity_to: 0.6
# For workloads with more data than can fit in memory, Cassandra's
# bottleneck will be reads that need to fetch data from
# disk. "concurrent_reads" should be set to (16 * number_of_drives) in
# order to allow the operations to enqueue low enough in the stack
# that the OS and drives can reorder them.
#
# On the other hand, since writes are almost never IO bound, the ideal
# number of "concurrent_writes" is dependent on the number of cores in
# your system; (8 * number_of_cores) is a good rule of thumb.
concurrent_reads: 32
concurrent_writes: 32
# Total memory to use for memtables. Cassandra will flush the largest
# memtable when this much memory is used.
# If omitted, Cassandra will set it to 1/3 of the heap.
# memtable_total_space_in_mb: 2048
# Total space to use for commitlogs. Since commitlog segments are
# mmapped, and hence use up address space, the default size is 32
# on 32-bit JVMs, and 1024 on 64-bit JVMs.
#
# If space gets above this value (it will round up to the next nearest
# segment multiple), Cassandra will flush every dirty CF in the oldest
# segment and remove it. So a small total commitlog space will tend
# to cause more flush activity on less-active columnfamilies.
# commitlog_total_space_in_mb: 4096
# This sets the amount of memtable flush writer threads. These will
# be blocked by disk io, and each one will hold a memtable in memory
# while blocked. If you have a large heap and many data directories,
# you can increase this value for better flush performance.
# By default this will be set to the amount of data directories defined.
#memtable_flush_writers: 1
# the number of full memtables to allow pending flush, that is,
# waiting for a writer thread. At a minimum, this should be set to
# the maximum number of secondary indexes created on a single CF.
memtable_flush_queue_size: 4
# Whether to, when doing sequential writing, fsync() at intervals in
# order to force the operating system to flush the dirty
# buffers. Enable this to avoid sudden dirty buffer flushing from
# impacting read latencies. Almost always a good idea on SSD:s; not
# necessarily on platters.
trickle_fsync: false
trickle_fsync_interval_in_kb: 10240
# TCP port, for commands and data
storage_port: 7000
# SSL port, for encrypted communication. Unused unless enabled in
# encryption_options
ssl_storage_port: 7001
# Address to bind to and tell other Cassandra nodes to connect to. You
# _must_ change this if you want multiple nodes to be able to
# communicate!
#
# Leaving it blank leaves it up to InetAddress.getLocalHost(). This
# will always do the Right Thing *if* the node is properly configured
# (hostname, name resolution, etc), and the Right Thing is to use the
# address associated with the hostname (it might not be).
#
# Setting this to 0.0.0.0 is always wrong.
listen_address: localhost
# 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
# Whether to start the native transport server.
# Currently, only the thrift server is started by default because the native
# transport is considered beta.
# 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: false
# port for the CQL native transport to listen for clients on
native_transport_port: 9042
# The minimum and maximum threads for handling requests when the native
# transport is used. The meaning is those is similar to the one of
# rpc_min_threads and rpc_max_threads, though the default differ slightly and
# are the ones below:
# native_transport_min_threads: 16
# native_transport_max_threads: 128
# Whether to start the thrift rpc server.
start_rpc: true
# The address to bind the Thrift RPC service to -- clients connect
# here. Unlike ListenAddress above, you *can* specify 0.0.0.0 here if
# you want Thrift to listen on all interfaces.
#
# Leaving this blank has the same effect it does for ListenAddress,
# (i.e. it will be based on the configured hostname of the node).
rpc_address: localhost
# port for Thrift to listen for clients on
rpc_port: 9160
# enable or disable keepalive on rpc connections
rpc_keepalive: true
# Cassandra provides three 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, 128KB 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).
#
# 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 provide 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:
# Frame size for thrift (maximum field length).
thrift_framed_transport_size_in_mb: 15
# The max length of a thrift message, including all fields and
# internal thrift overhead.
thrift_max_message_length_in_mb: 16
# Set to true to have Cassandra create a hard link to each sstable
# flushed or streamed locally in a backups/ subdirectory of the
# Keyspace data. Removing these links is the operator's
# responsibility.
incremental_backups: false
# Whether or not to take a snapshot before each compaction. Be
# careful using this option, since Cassandra won't clean up the
# snapshots for you. Mostly useful if you're paranoid when there
# is a data format change.
snapshot_before_compaction: false
# Whether or not a snapshot is taken of the data before keyspace truncation
# or dropping of column families. The STRONGLY advised default of true
# should be used to provide data safety. If you set this flag to false, you will
# lose data on truncation or drop.
auto_snapshot: true
# Add column indexes to a row after its contents reach this size.
# Increase if your column values are large, or if you have a very large
# number of columns. The competing causes are, Cassandra has to
# deserialize this much of the row to read a single column, so you want
# it to be small - at least if you do many partial-row reads - but all
# the index data is read for each access, so you don't want to generate
# that wastefully either.
column_index_size_in_kb: 64
# Size limit for rows being compacted in memory. Larger rows will spill
# over to disk and use a slower two-pass compaction process. A message
# will be logged specifying the row key.
in_memory_compaction_limit_in_mb: 64
# Number of simultaneous compactions to allow, NOT including
# validation "compactions" for anti-entropy repair. Simultaneous
# compactions can help preserve read performance in a mixed read/write
# workload, by mitigating the tendency of small sstables to accumulate
# during a single long running compactions. The default is usually
# fine and if you experience problems with compaction running too
# slowly or too fast, you should look at
# compaction_throughput_mb_per_sec first.
#
# concurrent_compactors defaults to the number of cores.
# Uncomment to make compaction mono-threaded, the pre-0.8 default.
#concurrent_compactors: 1
# Multi-threaded compaction. When enabled, each compaction will use
# up to one thread per core, plus one thread per sstable being merged.
# This is usually only useful for SSD-based hardware: otherwise,
# your concern is usually to get compaction to do LESS i/o (see:
# compaction_throughput_mb_per_sec), not more.
multithreaded_compaction: false
# Throttles compaction to the given total throughput across the entire
# system. The faster you insert data, the faster you need to compact in
# order to keep the sstable count down, but in general, setting this to
# 16 to 32 times the rate you are inserting data is more than sufficient.
# Setting this to 0 disables throttling. Note that this account for all types
# of compaction, including validation compaction.
compaction_throughput_mb_per_sec: 16
# Track cached row keys during compaction, and re-cache their new
# positions in the compacted sstable. Disable if you use really large
# key caches.
compaction_preheat_key_cache: true
# Throttles all outbound streaming file transfers on this node to the
# given total throughput in Mbps. This is necessary because Cassandra does
# mostly sequential IO when streaming data during bootstrap or repair, which
# can lead to saturating the network connection and degrading rpc performance.
# When unset, the default is 400 Mbps or 50 MB/s.
# stream_throughput_outbound_megabits_per_sec: 400
# How long the coordinator should wait for read operations to complete
read_request_timeout_in_ms: 10000
# 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: 10000
# How long the coordinator should wait for truncates to complete
# (This can be much longer, because unless auto_snapshot is disabled
# we need to flush first so we can snapshot before removing the data.)
truncate_request_timeout_in_ms: 60000
# The default timeout for other, miscellaneous operations
request_timeout_in_ms: 10000
# Enable operation timeout information exchange between nodes to accurately
# measure request timeouts, If disabled cassandra will assuming the request
# was forwarded to the replica instantly by the coordinator
#
# Warning: before enabling this property make sure to ntp is installed
# and the times are synchronized between the nodes.
cross_node_timeout: false
# Enable socket timeout for streaming operation.
# When a timeout occurs during streaming, streaming is retried from the start
# of the current file. This *can* involve re-streaming an important amount of
# data, so you should avoid setting the value too low.
# Default value is 0, which never timeout streams.
# streaming_socket_timeout_in_ms: 0
# phi value that must be reached for a host to be marked down.
# most users should never need to adjust this.
# phi_convict_threshold: 8
# endpoint_snitch -- Set this to a class that implements
# IEndpointSnitch. The snitch has two functions:
# - it teaches Cassandra enough about your network topology to route
# requests efficiently
# - it allows Cassandra to spread replicas around your cluster to avoid
# correlated failures. It does this by grouping machines into
# "datacenters" and "racks." Cassandra will do its best not to have
# more than one replica on the same "rack" (which may not actually
# be a physical location)
#
# IF YOU CHANGE THE SNITCH AFTER DATA IS INSERTED INTO THE CLUSTER,
# YOU MUST RUN A FULL REPAIR, SINCE THE SNITCH AFFECTS WHERE REPLICAS
# ARE PLACED.
#
# Out of the box, Cassandra provides
# - SimpleSnitch:
# Treats Strategy order as proximity. This improves cache locality
# when disabling read repair, which can further improve throughput.
# Only appropriate for single-datacenter deployments.
# - PropertyFileSnitch:
# Proximity is determined by rack and data center, which are
# explicitly configured in cassandra-topology.properties.
# - GossipingPropertyFileSnitch
# The rack and datacenter for the local node are defined in
# cassandra-rackdc.properties and propagated to other nodes via gossip. If
# cassandra-topology.properties exists, it is used as a fallback, allowing
# migration from the PropertyFileSnitch.
# - RackInferringSnitch:
# Proximity is determined by rack and data center, which are
# assumed to correspond to the 3rd and 2nd octet of each node's
# IP address, respectively. Unless this happens to match your
# deployment conventions (as it did Facebook's), this is best used
# as an example of writing a custom Snitch class.
# - Ec2Snitch:
# Appropriate for EC2 deployments in a single Region. Loads Region
# and Availability Zone information from the EC2 API. The Region is
# treated as the Datacenter, and the Availability Zone as the rack.
# Only private IPs are used, so this will not work across multiple
# Regions.
# - Ec2MultiRegionSnitch:
# Uses public IPs as broadcast_address to allow cross-region
# connectivity. (Thus, you should set seed addresses to the public
# IP as well.) You will need to open the storage_port or
# ssl_storage_port on the public IP firewall. (For intra-Region
# traffic, Cassandra will switch to the private IP after
# establishing a connection.)
#
# You can use a custom Snitch by setting this to the full class name
# of the snitch, which will be assumed to be on your classpath.
endpoint_snitch: 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 identifer based on which to perform
# the request scheduling. Currently the only valid option is keyspace.
# request_scheduler_id: keyspace
# index_interval controls the sampling of entries from the primrary
# row index in terms of space versus time. The larger the interval,
# the smaller and less effective the sampling will be. In technicial
# terms, the interval coresponds to the number of index entries that
# are skipped between taking each sample. All the sampled entries
# must fit in memory. Generally, a value between 128 and 512 here
# coupled with a large key cache size on CFs results in the best trade
# offs. This value is not often changed, however if you have many
# very small rows (many to an OS page), then increasing this will
# often lower memory usage without a impact on performance.
index_interval: 128
# Enable or disable inter-node encryption
# Default settings are TLS v1, RSA 1024-bit keys (it is imperative that
# users generate their own keys) TLS_RSA_WITH_AES_128_CBC_SHA as the cipher
# suite for authentication, key exchange and encryption of the actual data transfers.
# NOTE: No custom encryption options are enabled at the moment
# The available internode options are : all, none, dc, rack
#
# If set to dc cassandra will encrypt the traffic between the DCs
# If set to rack cassandra will encrypt the traffic between the racks
#
# The passwords used in these options must match the passwords used when generating
# the keystore and truststore. For instructions on generating these files, see:
# http://download.oracle.com/javase/6/docs/technotes/guides/security/jsse/JSSERefGuide.html#CreateKeystore
#
server_encryption_options:
internode_encryption: none
keystore: conf/.keystore
keystore_password: cassandra
truststore: conf/.truststore
truststore_password: cassandra
# More advanced defaults below:
# protocol: TLS
# algorithm: SunX509
# store_type: JKS
# cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA]
# enable or disable client/server encryption.
client_encryption_options:
enabled: false
keystore: conf/.keystore
keystore_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]
# internode_compression controls whether traffic between nodes is
# compressed.
# can be: all - all traffic is compressed
# dc - traffic between different datacenters is compressed
# none - nothing is compressed.
internode_compression: all

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spec/conf/1.2/log4j-server.properties Normal file
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# for production, you should probably set pattern to %c instead of %l.
# (%l is slower.)
# output messages into a rolling log file as well as stdout
log4j.rootLogger=INFO,stdout,R
# stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%5p %d{HH:mm:ss,SSS} %m%n
# rolling log file
log4j.appender.R=org.apache.log4j.RollingFileAppender
log4j.appender.R.maxFileSize=20MB
log4j.appender.R.maxBackupIndex=50
log4j.appender.R.layout=org.apache.log4j.PatternLayout
log4j.appender.R.layout.ConversionPattern=%5p [%t] %d{ISO8601} %F (line %L) %m%n
# Edit the next line to point to your logs directory
log4j.appender.R.File=/var/log/cassandra/system.log
# Application logging options
#log4j.logger.org.apache.cassandra=DEBUG
#log4j.logger.org.apache.cassandra.db=DEBUG
#log4j.logger.org.apache.cassandra.service.StorageProxy=DEBUG
# Adding this to avoid thrift logging disconnect errors.
log4j.logger.org.apache.thrift.server.TNonblockingServer=ERROR

72
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{"Twitter":{
"Users":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"UserAudits":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"UserCounters":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard",
"default_validation_class":"CounterColumnType"},
"UserCounterAggregates":{
"subcomparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super",
"default_validation_class":"CounterColumnType"},
"UserRelationships":{
"subcomparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super"},
"Usernames":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"Statuses":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"StatusAudits":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Standard"},
"StatusRelationships":{
"subcomparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super"},
"Indexes":{
"comparator_type":"org.apache.cassandra.db.marshal.UTF8Type",
"column_type":"Super"},
"TimelinishThings":{
"comparator_type":"org.apache.cassandra.db.marshal.BytesType",
"column_type":"Standard"}
},
"Multiblog":{
"Blogs":{
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Standard"},
"Comments":{
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Standard"}
},
"MultiblogLong":{
"Blogs":{
"comparator_type":"org.apache.cassandra.db.marshal.LongType",
"column_type":"Standard"},
"Comments":{
"comparator_type":"org.apache.cassandra.db.marshal.LongType",
"column_type":"Standard"}
},
"TypeConversions":{
"UUIDColumnConversion":{
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Standard"},
"SuperUUID":{
"subcomparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"comparator_type":"org.apache.cassandra.db.marshal.TimeUUIDType",
"column_type":"Super"},
"CompositeColumnConversion":{
"comparator_type":"org.apache.cassandra.db.marshal.CompositeType(org.apache.cassandra.db.marshal.IntegerType,org.apache.cassandra.db.marshal.UTF8Type)",
"column_type":"Standard"},
"DynamicComposite":{
"comparator_type":"org.apache.cassandra.db.marshal.DynamicCompositeType(u=>org.apache.cassandra.db.marshal.UUIDType,t=>org.apache.cassandra.db.marshal.TimeUUIDType,s=>org.apache.cassandra.db.marshal.UTF8Type,b=>org.apache.cassandra.db.marshal.BytesType,a=>org.apache.cassandra.db.marshal.AsciiType,l=>org.apache.cassandra.db.marshal.LongType,x=>org.apache.cassandra.db.marshal.LexicalUUIDType,i=>org.apache.cassandra.db.marshal.IntegerType)",
"column_type":"Standard"}
}
}

57
spec/conf/1.2/schema.txt Executable file
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create keyspace Twitter with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use Twitter;
create column family Users with comparator = 'UTF8Type';
create column family UserAudits with comparator = 'UTF8Type';
create column family UserCounters with comparator = 'UTF8Type' and
default_validation_class = CounterColumnType;
create column family UserCounterAggregates with column_type = 'Super'
and comparator = 'UTF8Type' and
subcomparator = 'UTF8Type' and
default_validation_class = CounterColumnType;
create column family UserRelationships with
comparator = 'UTF8Type' and
column_type = 'Super' and
subcomparator = 'TimeUUIDType';
create column family Usernames with comparator = 'UTF8Type';
create column family Statuses
with comparator = 'UTF8Type'
and column_metadata = [
{column_name: 'tags', validation_class: 'BytesType', index_type: 'KEYS'}
];
create column family StatusAudits with comparator = 'UTF8Type';
create column family StatusRelationships with
comparator = 'UTF8Type' and
column_type = 'Super' and
subcomparator = 'TimeUUIDType';
create column family Indexes with
comparator = 'UTF8Type' and
column_type = 'Super';
create column family TimelinishThings with
comparator = 'BytesType';
create keyspace Multiblog with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use Multiblog;
create column family Blogs with comparator = 'TimeUUIDType';
create column family Comments with comparator = 'TimeUUIDType';
create keyspace MultiblogLong with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use MultiblogLong;
create column family Blogs with comparator = 'LongType';
create column family Comments with comparator = 'LongType';
create keyspace TypeConversions with
placement_strategy = 'org.apache.cassandra.locator.SimpleStrategy' AND
strategy_options = {replication_factor:1};
use TypeConversions;
create column family UUIDColumnConversion with comparator = TimeUUIDType;
create column family SuperUUID with comparator = TimeUUIDType and column_type = Super;
create column family CompositeColumnConversion with comparator = 'CompositeType(IntegerType, UTF8Type)';
create column family DynamicComposite with comparator ='DynamicCompositeType
(a=>AsciiType,b=>BytesType,i=>IntegerType,x=>LexicalUUIDType,l=>LongType,t=>TimeUUIDType,s=>UTF8Type,u=>UUIDType)';