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embedded cassandra integration tests infra

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This commit is contained in:
Albert Shift 2015-03-16 15:57:46 -07:00
parent 59375ed0d3
commit a4e8121b89
6 changed files with 720 additions and 5 deletions
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74
pom.xml
View file

@ -49,6 +49,7 @@
<hamcrest>1.3</hamcrest>
<jodatime>2.1</jodatime>
<junit>4.11</junit>
<jamm>0.2.5</jamm>
<slf4j>1.7.1</slf4j>
<logback>1.0.11</logback>
<mockito>1.9.5</mockito>
@ -144,6 +145,13 @@
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.github.stephenc</groupId>
<artifactId>jamm</artifactId>
<version>${jamm}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.hamcrest</groupId>
<artifactId>hamcrest-library</artifactId>
@ -188,7 +196,6 @@
</dependencies>
<build>
<testResources>
@ -284,7 +291,72 @@
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.18.1</version>
<configuration>
<parallel>methods</parallel>
<threadCount>10</threadCount>
<useFile>false</useFile>
<includes>
<include>**/test/unit/**/*.java</include>
</includes>
<excludes>
<exclude>**/test/integration/**/*.java</exclude>
<exclude>**/test/performance/**/*.java</exclude>
</excludes>
<systemPropertyVariables>
<java.util.logging.config.file>src/test/resources/logging.properties</java.util.logging.config.file>
</systemPropertyVariables>
</configuration>
</plugin>
<plugin>
<groupId>org.bitstrings.maven.plugins</groupId>
<artifactId>dependencypath-maven-plugin</artifactId>
<version>1.1.1</version>
<executions>
<execution>
<id>set-all</id>
<goals>
<goal>set</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-failsafe-plugin</artifactId>
<version>2.16</version>
<configuration>
<forkCount>1</forkCount>
<argLine>-Xmx1024m -Xss512m
-javaagent:${com.github.stephenc:jamm:jar}</argLine>
<reuseForks>true</reuseForks>
<useFile>false</useFile>
<includes>
<include>**/test/integration/**/*.java</include>
</includes>
<excludes>
<exclude>**/test/unit/**/*.java</exclude>
<exclude>**/test/performance/**/*.java</exclude>
</excludes>
<systemPropertyVariables>
<java.util.logging.config.file>src/test/resources/logging.properties</java.util.logging.config.file>
<maven.integration.test>true</maven.integration.test>
</systemPropertyVariables>
</configuration>
<executions>
<execution>
<goals>
<goal>integration-test</goal>
<goal>verify</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>

3
src/test/java/casser/test/integration/build/AbstractEmbeddedCassandraTest.java
View file

@ -24,7 +24,7 @@ public abstract class AbstractEmbeddedCassandraTest {
private boolean keep;
public AbstractEmbeddedCassandraTest() {
this(true);
this(false);
}
public AbstractEmbeddedCassandraTest(boolean keep) {
@ -80,6 +80,7 @@ public abstract class AbstractEmbeddedCassandraTest {
public void after() {
if (!keep && isConnected()) {
session.close();
session = null;
EmbeddedCassandraServerHelper.cleanEmbeddedCassandra();
}
}

19
src/test/java/casser/test/integration/build/BuildProperties.java
View file

@ -13,14 +13,27 @@ public final class BuildProperties {
private final static BuildProperties INSTANCE = new BuildProperties();
}
private final String cassandraConfig;
private final Properties props = new Properties();
private BuildProperties() {
loadFromClasspath("/build.properties");
if (isRunInMaven()) {
this.cassandraConfig = "build-cassandra.yaml";
loadFromClasspath("build.properties");
}
else {
this.cassandraConfig = "eclipse-cassandra.yaml";
loadFromClasspath("eclipse.properties");
}
}
private boolean isRunInMaven() {
return System.getProperty("maven.integration.test") != null;
}
private void loadFromClasspath(String resourceName) {
InputStream in = getClass().getResourceAsStream(resourceName);
InputStream in = getClass().getResourceAsStream("/" + resourceName);
if (in == null) {
throw new RuntimeException("resource is not found in classpath: " + resourceName);
}
@ -34,7 +47,7 @@ public final class BuildProperties {
}
public static String getCassandraConfig() {
return "build-cassandra.yaml";
return Singleton.INSTANCE.cassandraConfig;
}
public static String getCassandraHost() {

624
src/test/resources/eclipse-cassandra.yaml Normal file
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@ -0,0 +1,624 @@
# Cassandra storage config YAML
# 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, 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
# throttle in KBs 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
# Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthenticator,
# PasswordAuthenticator}.
#
# - AllowAllAuthenticator performs no checks - set it to disable authentication.
# - PasswordAuthenticator relies on username/password pairs to authenticate
# users. It keeps usernames and hashed passwords in system_auth.credentials table.
# Please increase system_auth keyspace replication factor if you use this authenticator.
authenticator: org.apache.cassandra.auth.AllowAllAuthenticator
# Authorization backend, implementing IAuthorizer; used to limit access/provide permissions
# Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthorizer,
# CassandraAuthorizer}.
#
# - AllowAllAuthorizer allows any action to any user - set it to disable authorization.
# - CassandraAuthorizer stores permissions in system_auth.permissions table. Please
# increase system_auth keyspace replication factor if you use this authorizer.
authorizer: org.apache.cassandra.auth.AllowAllAuthorizer
# Validity period for permissions cache (fetching permissions can be an
# expensive operation depending on the authorizer, CassandraAuthorizer is
# one example). Defaults to 2000, set to 0 to disable.
# Will be disabled automatically for AllowAllAuthorizer.
# permissions_validity_in_ms: 2000
# 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 collates 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. Cassandra
# will spread data evenly across them, subject to the granularity of
# the configured compaction strategy.
data_file_directories:
- target/embeddedCassandra/data
# commit log
commitlog_directory: target/embeddedCassandra/commitlog
# policy for data disk failures:
# stop: shut down gossip and Thrift, leaving the node effectively dead, but
# can still be inspected via JMX.
# best_effort: stop using the failed disk and respond to requests based on
# remaining available sstables. This means you WILL see obsolete
# data at CL.ONE!
# ignore: ignore fatal errors and let requests fail, as in pre-1.2 Cassandra
disk_failure_policy: stop
# Maximum size of the key cache in memory.
#
# Each key cache hit saves 1 seek and each row cache hit saves 2 seeks at the
# minimum, sometimes more. The key cache is fairly tiny for the amount of
# time it saves, so it's worthwhile to use it at large numbers.
# The row cache saves even more time, but must contain the entire row,
# so it is extremely space-intensive. It's best to only use the
# row cache if you have hot rows or static rows.
#
# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
#
# Default value is empty to make it "auto" (min(5% of Heap (in MB), 100MB)). Set to 0 to disable key cache.
key_cache_size_in_mb:
# Duration in seconds after which Cassandra should
# save the key cache. Caches are saved to saved_caches_directory as
# specified in this configuration file.
#
# Saved caches greatly improve cold-start speeds, and is relatively cheap in
# terms of I/O for the key cache. Row cache saving is much more expensive and
# has limited use.
#
# Default is 14400 or 4 hours.
key_cache_save_period: 14400
# Number of keys from the key cache to save
# Disabled by default, meaning all keys are going to be saved
# key_cache_keys_to_save: 100
# Maximum size of the row cache in memory.
# NOTE: if you reduce the size, you may not get you hottest keys loaded on startup.
#
# Default value is 0, to disable row caching.
row_cache_size_in_mb: 0
# Duration in seconds after which Cassandra should
# 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
# saved caches
saved_caches_directory: target/embeddedCassandra/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 (potentially from each columnfamily in the system) has been
# flushed to sstables.
#
# The default size is 32, which is almost always fine, but if you are
# archiving commitlog segments (see commitlog_archiving.properties),
# then you probably want a finer granularity of archiving; 8 or 16 MB
# is reasonable.
commitlog_segment_size_in_mb: 32
# any class that implements the SeedProvider interface and has a
# constructor that takes a Map<String, String> of parameters will do.
seed_provider:
# Addresses of hosts that are deemed contact points.
# Cassandra nodes use this list of hosts to find each other and learn
# the topology of the ring. You must change this if you are running
# multiple nodes!
- class_name: org.apache.cassandra.locator.SimpleSeedProvider
parameters:
# seeds is actually a comma-delimited list of addresses.
# Ex: "<ip1>,<ip2>,<ip3>"
- seeds: "127.0.0.1"
# For workloads with more data than can fit in memory, Cassandra's
# bottleneck will be reads that need to fetch data from
# disk. "concurrent_reads" should be set to (16 * number_of_drives) in
# order to allow the operations to enqueue low enough in the stack
# that the OS and drives can reorder them.
#
# 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
# 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
storage_port: 9002
# SSL port, for encrypted communication. Unused unless enabled in
# encryption_options
ssl_storage_port: 9003
# 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
# 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
native_transport_port: 9000
# The minimum and maximum threads for handling requests when the native
# transport is used. They are similar to rpc_min_threads and rpc_max_threads,
# though the defaults differ slightly.
# native_transport_min_threads: 16
#native_transport_max_threads: 48
# 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: 9001
# 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, 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).
#
# The default is sync because on Windows hsha is about 30% slower. On Linux,
# sync/hsha performance is about the same, with hsha of course using less memory.
#
# Alternatively, can provide your own RPC server by providing the fully-qualified class name
# of an o.a.c.t.TServerFactory that can create an instance of it.
rpc_server_type: sync
# Uncomment rpc_min|max_thread to set request pool size limits.
#
# Regardless of your choice of RPC server (see above), the number of maximum requests in the
# RPC thread pool dictates how many concurrent requests are possible (but if you are using the sync
# RPC server, it also dictates the number of clients that can be connected at all).
#
# The default is unlimited and thus provides no protection against clients overwhelming the server. You are
# encouraged to set a maximum that makes sense for you in production, but do keep in mind that
# rpc_max_threads represents the maximum number of client requests this server may execute concurrently.
#
# rpc_min_threads: 16
# rpc_max_threads: 2048
# uncomment to set socket buffer sizes on rpc connections
# rpc_send_buff_size_in_bytes:
# rpc_recv_buff_size_in_bytes:
# Uncomment to set socket buffer size for internode communication
# Note that when setting this, the buffer size is limited by net.core.wmem_max
# and when not setting it it is defined by net.ipv4.tcp_wmem
# See:
# /proc/sys/net/core/wmem_max
# /proc/sys/net/core/rmem_max
# /proc/sys/net/ipv4/tcp_wmem
# /proc/sys/net/ipv4/tcp_wmem
# and: man tcp
# internode_send_buff_size_in_bytes:
# internode_recv_buff_size_in_bytes:
# Frame size for thrift (maximum 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
# 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
# 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
# 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
# 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 identifier 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]
# require_client_auth: false
# enable or disable client/server encryption.
client_encryption_options:
enabled: false
keystore: conf/.keystore
keystore_password: cassandra
# require_client_auth: false
# Set trustore and truststore_password if require_client_auth is true
# truststore: conf/.truststore
# truststore_password: cassandra
# More advanced defaults below:
# protocol: TLS
# algorithm: SunX509
# store_type: JKS
# cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA]
# internode_compression controls whether traffic between nodes is
# compressed.
# can be: all - all traffic is compressed
# dc - traffic between different datacenters is compressed
# none - nothing is compressed.
internode_compression: all
# Enable or disable tcp_nodelay for inter-dc communication.
# Disabling it will result in larger (but fewer) network packets being sent,
# reducing overhead from the TCP protocol itself, at the cost of increasing
# latency if you block for cross-datacenter responses.
# inter_dc_tcp_nodelay: true

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src/test/resources/eclipse.properties Normal file
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build.cassandra.native_transport_port=9000
build.cassandra.rpc_port=9001
build.cassandra.storage_port=9002
build.cassandra.ssl_storage_port=9003

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src/test/resources/logging.properties Normal file
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handlers = org.slf4j.bridge.SLF4JBridgeHandler