DATAREST-414 - Added integration tests for Cassandra.

Original pull request: #158.
This commit is contained in:
Greg Turnquist
2014-11-22 21:00:09 -06:00
committed by Oliver Gierke
parent f09880ff16
commit a31588cabc
10 changed files with 1208 additions and 17 deletions

1
.gitignore vendored
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@@ -10,3 +10,4 @@ target/
*.log
vf.gf.*
out/
_site

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@@ -33,6 +33,7 @@
<springdata.neo4j>3.3.0.BUILD-SNAPSHOT</springdata.neo4j>
<springdata.gemfire>1.6.0.BUILD-SNAPSHOT</springdata.gemfire>
<springdata.solr>1.4.0.BUILD-SNAPSHOT</springdata.solr>
<springdata.cassandra>1.2.0.BUILD-SNAPSHOT</springdata.cassandra>
<hibernate.version>4.3.5.Final</hibernate.version>
@@ -117,6 +118,13 @@
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-cassandra</artifactId>
<version>${springdata.cassandra}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.hsqldb</groupId>
<artifactId>hsqldb</artifactId>

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@@ -17,6 +17,8 @@
<properties>
<jsonpath>0.8.1</jsonpath>
<cassandra.version>2.0.9</cassandra.version>
<cassandraunit.version>2.0.2.1</cassandraunit.version>
</properties>
<dependencies>
@@ -110,25 +112,130 @@
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.solr</groupId>
<artifactId>solr-core</artifactId>
<version>4.10.1</version>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</exclusion>
<exclusion>
<artifactId>jdk.tools</artifactId>
<groupId>jdk.tools</groupId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
<profiles>
<profile>
<id>cassandra</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<dependencies>
<dependency>
<groupId>org.apache.cassandra</groupId>
<artifactId>cassandra-all</artifactId>
<version>${cassandra.version}</version>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.cassandraunit</groupId>
<artifactId>cassandra-unit-spring</artifactId>
<version>${cassandraunit.version}</version>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.hamcrest</groupId>
<artifactId>hamcrest-all</artifactId>
</exclusion>
<exclusion>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
</exclusion>
<exclusion>
<groupId>org.springframework</groupId>
<artifactId>spring-test</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.cassandra</groupId>
<artifactId>cassandra-all</artifactId>
</exclusion>
<exclusion>
<groupId>com.datastax.cassandra</groupId>
<artifactId>cassandra-driver-core</artifactId>
</exclusion>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.xerial.snappy</groupId>
<artifactId>snappy-java</artifactId>
<version>1.1.0.1</version>
<scope>test</scope>
</dependency>
<!-- It appears that something else pulls antlr-runtime up to 3.5, which breaks cassandra -->
<dependency>
<groupId>org.antlr</groupId>
<artifactId>antlr-runtime</artifactId>
<version>3.2</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>15.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.googlecode.concurrentlinkedhashmap</groupId>
<artifactId>concurrentlinkedhashmap-lru</artifactId>
<version>1.3.1</version>
<scope>test</scope>
</dependency>
</dependencies>
</profile>
<profile>
<id>solr</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<dependencies>
<dependency>
<groupId>org.apache.solr</groupId>
<artifactId>solr-core</artifactId>
<version>4.10.1</version>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</exclusion>
<exclusion>
<artifactId>jdk.tools</artifactId>
<groupId>jdk.tools</groupId>
</exclusion>
<exclusion>
<groupId>com.google</groupId>
<artifactId>guava</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
</profile>
</profiles>
<build>
<plugins>
<plugin>
@@ -155,6 +262,7 @@
</includes>
<!-- exclude store-specific tests from base-tests -->
<excludes>
<exclude>**/cassandra/*Test*.java</exclude>
<exclude>**/gemfire/*Test*.java</exclude>
<exclude>**/jpa/*Test*.java</exclude>
<exclude>**/mongodb/*Test*.java</exclude>
@@ -163,6 +271,18 @@
</excludes>
</configuration>
</execution>
<execution>
<id>cassandra-tests</id>
<goals>
<goal>test</goal>
</goals>
<phase>test</phase>
<configuration>
<includes>
<include>**/cassandra/*Test*.java</include>
</includes>
</configuration>
</execution>
<execution>
<id>gemfire-tests</id>
<goals>

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@@ -0,0 +1,71 @@
/*
* Copyright 2013-2015 the original author or authors.
*
* Licensed 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.
*/
package org.springframework.data.rest.webmvc.cassandra;
import java.io.IOException;
import com.datastax.driver.core.Cluster;
import com.datastax.driver.core.Session;
import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.thrift.transport.TTransportException;
import org.cassandraunit.utils.EmbeddedCassandraServerHelper;
import org.junit.BeforeClass;
import org.springframework.data.rest.webmvc.CommonWebTests;
/**
* Base class for testing with an embedded cassandra database
*
* @author Greg Turnquist
*/
public abstract class AbstractCassandraIntegrationTest extends CommonWebTests {
/**
* The session connected to the system keyspace.
*/
protected Session systemSession;
/**
* The {@link com.datastax.driver.core.Cluster} that's connected to Cassandra.
*/
protected Cluster cluster;
/**
* Launch an embedded Cassandra instance
*
* @throws ConfigurationException
* @throws IOException
* @throws TTransportException
*/
@BeforeClass
public static void startDatabase() throws ConfigurationException, IOException, TTransportException {
EmbeddedCassandraServerHelper.startEmbeddedCassandra("cassandra.yaml");
}
public AbstractCassandraIntegrationTest() {
// check cluster
if (cluster == null) {
cluster = Cluster.builder()//
.addContactPoint(CassandraProperties.HOSTNAME)//
.withPort(CassandraProperties.PORT)//
.build();
}
// check system session connected
if (systemSession == null) {
systemSession = cluster.connect();
}
}
}

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@@ -0,0 +1,7 @@
package org.springframework.data.rest.webmvc.cassandra;
public class CassandraProperties {
public static final String HOSTNAME = "localhost";
public static final int PORT = 9142;
}

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@@ -0,0 +1,52 @@
package org.springframework.data.rest.webmvc.cassandra;
import static org.springframework.cassandra.core.keyspace.CreateKeyspaceSpecification.*;
import java.util.Arrays;
import java.util.List;
import org.springframework.cassandra.core.keyspace.CreateKeyspaceSpecification;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.cassandra.config.SchemaAction;
import org.springframework.data.cassandra.config.java.AbstractCassandraConfiguration;
import org.springframework.data.cassandra.repository.config.EnableCassandraRepositories;
/**
* Basic configuration for a Cassandra set up.
*
* @author Greg Turnquist
*/
@Configuration
@EnableCassandraRepositories
public class CassandraRepoConfig extends AbstractCassandraConfiguration {
@Override
protected String getKeyspaceName() {
return "SpringDataRestCassandra";
}
@Override
public SchemaAction getSchemaAction() {
return SchemaAction.RECREATE_DROP_UNUSED;
}
@Override
protected int getPort() {
return CassandraProperties.PORT;
}
@Override
public String[] getEntityBasePackages() {
return new String[] {this.getClass().getPackage().getName()};
}
/**
* When retrieving the keyspaces, create one for testing.
*
* @return
*/
@Override
protected List<CreateKeyspaceSpecification> getKeyspaceCreations() {
return Arrays.asList(createKeyspace().name(getKeyspaceName()).withSimpleReplication());
}
}

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@@ -0,0 +1,247 @@
/*
* Copyright 2013-2015 the original author or authors.
*
* Licensed 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.
*/
package org.springframework.data.rest.webmvc.cassandra;
import static org.hamcrest.CoreMatchers.*;
import static org.junit.Assert.*;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.*;
import java.io.IOException;
import java.util.Arrays;
import org.apache.cassandra.exceptions.ConfigurationException;
import org.apache.thrift.transport.TTransportException;
import org.junit.Before;
import org.junit.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.hateoas.Link;
import org.springframework.http.MediaType;
import org.springframework.mock.web.MockHttpServletResponse;
import org.springframework.test.context.ContextConfiguration;
import com.fasterxml.jackson.databind.ObjectMapper;
/**
* Integration tests for Cassandra repositories
*
* @author Greg Turnquist
*/
@ContextConfiguration(classes = CassandraRepoConfig.class)
public class CassandraWebTests extends AbstractCassandraIntegrationTest {
@Autowired private EmployeeRepository repository;
@Override
protected Iterable<String> expectedRootLinkRels() {
return Arrays.asList("employees");
}
/**
* Given that Spring Data Cassandra can leave behind persistent artifacts, need to clean out ALL entities
* before launching a given test case.
*
* @throws ConfigurationException
* @throws IOException
* @throws TTransportException
* @throws InterruptedException
*/
@Before
public void cleanoutDatabase() throws ConfigurationException, IOException, TTransportException, InterruptedException {
repository.deleteAll();
}
@Test
public void create() throws Exception {
Link employeeLink = client.discoverUnique("employees");
ObjectMapper mapper = new ObjectMapper();
Employee employee = new Employee();
employee.setId("789");
employee.setFirstName("Bilbo");
employee.setLastName("Baggins");
employee.setTitle("burgler");
String bilboString = mapper.writeValueAsString(employee);
MockHttpServletResponse response = postAndGet(employeeLink, bilboString, MediaType.APPLICATION_JSON);
assertJsonPathEquals("$.firstName", "Bilbo", response);
assertJsonPathEquals("$.lastName", "Baggins", response);
assertJsonPathEquals("$.title", "burgler", response);
}
/**
* After inserting data directly through a Spring Data Cassandra repository, verify Spring Data REST can
* fetch the resources through hypermedia.
*
* @throws Exception
*/
@Test
public void findAllEmployees() throws Exception {
Employee employee1 = new Employee();
employee1.setId("123");
employee1.setFirstName("Frodo");
employee1.setLastName("Baggins");
employee1.setTitle("ring bearer");
repository.save(employee1);
Employee employee2 = new Employee();
employee2.setId("789");
employee2.setFirstName("Samwise");
employee2.setLastName("Gamgee");
employee2.setTitle("ring bearer");
repository.save(employee2);
Link employeesLink = client.discoverUnique("employees");
client.follow(employeesLink)
.andExpect(status().isOk())
.andExpect(jsonPath("$._embedded.employees[*].firstName", hasItems("Samwise", "Frodo")))
.andExpect(jsonPath("$._embedded.employees[*].lastName", hasItems("Gamgee", "Baggins")))
.andExpect(jsonPath("$._embedded.employees[*].title", hasItems("ring bearer", "ring bearer")));
}
/**
* Verify some basic creation (POST), updating (PATH) and replacing (PUT) functionality of Spring
* Data Cassandra through Spring Data REST.
*
* @throws Exception
*/
@Test
public void createAnEmployee() throws Exception {
Employee employee = new Employee();
employee.setId("123");
employee.setFirstName("Frodo");
employee.setLastName("Baggins");
employee.setTitle("ring bearer");
ObjectMapper mapper = new ObjectMapper();
String employeeString = mapper.writeValueAsString(employee);
Link employeeLink = client.discoverUnique("employees");
MockHttpServletResponse response = postAndGet(employeeLink, employeeString, MediaType.APPLICATION_JSON);
Link newlyMintedEmployeeLink = client.assertHasLinkWithRel("self", response);
Employee newlyMintedEmployee = mapper.readValue(response.getContentAsString(), Employee.class);
assertThat(newlyMintedEmployee.getFirstName(), equalTo(employee.getFirstName()));
assertThat(newlyMintedEmployee.getLastName(), equalTo(employee.getLastName()));
assertThat(newlyMintedEmployee.getTitle(), equalTo(employee.getTitle()));
MockHttpServletResponse response2 = patchAndGet(
newlyMintedEmployeeLink, "{\"firstName\": \"Bilbo\"}", MediaType.APPLICATION_JSON);
Link refurbishedEmployeeLink = client.assertHasLinkWithRel("self", response2);
Employee refurbishedEmployee = mapper.readValue(response2.getContentAsString(), Employee.class);
assertThat(refurbishedEmployee.getFirstName(), equalTo("Bilbo"));
assertThat(refurbishedEmployee.getLastName(), equalTo(employee.getLastName()));
assertThat(refurbishedEmployee.getTitle(), equalTo(employee.getTitle()));
MockHttpServletResponse response3 = putAndGet(
refurbishedEmployeeLink, "{\"lastName\": \"Jr.\"}", MediaType.APPLICATION_JSON);
Employee lastEmployee = mapper.readValue(response3.getContentAsString(), Employee.class);
assertThat(lastEmployee.getFirstName(), equalTo("Bilbo"));
assertThat(lastEmployee.getLastName(), equalTo("Jr."));
assertThat(lastEmployee.getTitle(), equalTo(employee.getTitle()));
}
/**
* Verify that creating (POST) and then updating (PATCH) a resource only updates the sub-set of fields.
*
* @throws Exception
*/
@Test
public void createThenPatch() throws Exception {
Employee employee = new Employee();
employee.setId("123");
employee.setFirstName("Frodo");
employee.setLastName("Baggins");
employee.setTitle("ring bearer");
ObjectMapper mapper = new ObjectMapper();
String employeeString = mapper.writeValueAsString(employee);
Link employeeLink = client.discoverUnique("employees");
MockHttpServletResponse response1 = postAndGet(employeeLink, employeeString, MediaType.APPLICATION_JSON);
Link newlyMintedEmployeeLink = client.assertHasLinkWithRel("self", response1);
Employee newlyMintedEmployee = mapper.readValue(response1.getContentAsString(), Employee.class);
assertThat(newlyMintedEmployee.getFirstName(), equalTo(employee.getFirstName()));
assertThat(newlyMintedEmployee.getLastName(), equalTo(employee.getLastName()));
assertThat(newlyMintedEmployee.getTitle(), equalTo(employee.getTitle()));
MockHttpServletResponse response2 = patchAndGet(
newlyMintedEmployeeLink, "{\"firstName\": \"Bilbo\"}", MediaType.APPLICATION_JSON);
Employee refurbishedEmployee = mapper.readValue(response2.getContentAsString(), Employee.class);
assertThat(refurbishedEmployee.getFirstName(), equalTo("Bilbo"));
assertThat(refurbishedEmployee.getLastName(), equalTo(employee.getLastName()));
assertThat(refurbishedEmployee.getTitle(), equalTo(employee.getTitle()));
}
/**
* Verify that first creating (POST) and then replacing (PUT) a resource with a subset of fields only causes
* the subset of fields to be changed inside Cassandra.
*
* NOTE: Cassandra doesn't handle nulls like traditional databases and Spring Data Cassandra ignores
* null fields.
*
* @throws Exception
*/
@Test
public void createThenPut() throws Exception {
Employee employee = new Employee();
employee.setId("123");
employee.setFirstName("Frodo");
employee.setLastName("Baggins");
employee.setTitle("ring bearer");
ObjectMapper mapper = new ObjectMapper();
String employeeString = mapper.writeValueAsString(employee);
Link employeeLink = client.discoverUnique("employees");
MockHttpServletResponse response1 = postAndGet(employeeLink, employeeString, MediaType.APPLICATION_JSON);
Link newlyMintedEmployeeLink = client.assertHasLinkWithRel("self", response1);
Employee newlyMintedEmployee = mapper.readValue(response1.getContentAsString(), Employee.class);
assertThat(newlyMintedEmployee.getFirstName(), equalTo(employee.getFirstName()));
assertThat(newlyMintedEmployee.getLastName(), equalTo(employee.getLastName()));
assertThat(newlyMintedEmployee.getTitle(), equalTo(employee.getTitle()));
MockHttpServletResponse response2 = putAndGet(
newlyMintedEmployeeLink, "{\"firstName\": \"Bilbo\"}", MediaType.APPLICATION_JSON);
Employee refurbishedEmployee = mapper.readValue(response2.getContentAsString(), Employee.class);
assertThat(refurbishedEmployee.getFirstName(), equalTo("Bilbo"));
// Spring Data Cassandra doesn't apply null field values, hence these attributes won't change from
// the original POST.
assertThat(refurbishedEmployee.getLastName(), equalTo(employee.getLastName()));
assertThat(refurbishedEmployee.getTitle(), equalTo(employee.getTitle()));
}
}

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/*
* Copyright 2013-2015 the original author or authors.
*
* Licensed 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.
*/
package org.springframework.data.rest.webmvc.cassandra;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import org.springframework.data.cassandra.mapping.PrimaryKey;
import org.springframework.data.cassandra.mapping.Table;
/**
* Simple domain object
*
* @author Greg Turnquist
*/
@Table
@JsonIgnoreProperties(ignoreUnknown = true)
public class Employee {
@PrimaryKey private String id;
private String firstName;
private String lastName;
private String title;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public String getFirstName() {
return firstName;
}
public void setFirstName(String firstName) {
this.firstName = firstName;
}
public String getLastName() {
return lastName;
}
public void setLastName(String lastName) {
this.lastName = lastName;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
@Override
public String toString() {
return "Id: " + id + " First: " + firstName + " Last: " + lastName + " Title: " + title;
}
}

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@@ -0,0 +1,27 @@
/*
* Copyright 2013-2014 the original author or authors.
*
* Licensed 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.
*/
package org.springframework.data.rest.webmvc.cassandra;
import org.springframework.data.repository.CrudRepository;
/**
* Simple repository definition
*
* @author Greg Turnquist
*/
public interface EmployeeRepository extends CrudRepository<Employee, String> {
}

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@@ -0,0 +1,586 @@
# 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, new hints for it will not be
# created until it has been seen alive and gone down again.
max_hint_window_in_ms: 10800000 # 3 hours
# Maximum throttle in KBs per second, per delivery thread. This will be
# reduced proportionally to the number of nodes in the cluster. (If there
# are two nodes in the cluster, each delivery thread will use the maximum
# rate; if there are three, each will throttle to half of the maximum,
# since we expect two nodes to be delivering hints simultaneously.)
hinted_handoff_throttle_in_kb: 1024
# Number of threads with which to deliver hints;
# Consider increasing this number when you have multi-dc deployments, since
# cross-dc handoff tends to be slower
max_hints_delivery_threads: 2
# 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: AllowAllAuthenticator
# Authorization backend, implementing IAuthorizer; used to limit access/provide permissions
# Out of the box, Cassandra provides org.apache.cassandra.auth.{AllowAllAuthorizer,
# CassandraAuthorizer}.
#
# - AllowAllAuthorizer allows any action to any user - set it to disable authorization.
# - CassandraAuthorizer stores permissions in system_auth.permissions table. Please
# increase system_auth keyspace replication factor if you use this authorizer.
authorizer: AllowAllAuthorizer
# Validity period for permissions cache (fetching permissions can be an
# expensive operation depending on the authorizer, CassandraAuthorizer is
# one example). Defaults to 2000, set to 0 to disable.
# Will be disabled automatically for AllowAllAuthorizer.
permissions_validity_in_ms: 2000
# 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.
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 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
# 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.
# 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.
# 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: 7010
# SSL port, for encrypted communication. Unused unless enabled in
# encryption_options
ssl_storage_port: 7011
# 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: 127.0.0.1
start_native_transport: true
# port for the CQL native transport to listen for clients on
native_transport_port: 9142
# Whether to start the thrift rpc server.
start_rpc: true
# 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: 9171
# 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: false
# 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 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: 5000
# How long the coordinator should wait for seq or index scans to complete
range_request_timeout_in_ms: 10000
# How long the coordinator should wait for writes to complete
write_request_timeout_in_ms: 2000
# How long a coordinator should continue to retry a CAS operation
# that contends with other proposals for the same row
cas_contention_timeout_in_ms: 1000
# How long the coordinator should wait for truncates to complete
# (This can be much longer, because unless auto_snapshot is disabled
# we need to flush first so we can snapshot before removing the data.)
truncate_request_timeout_in_ms: 60000
# The default timeout for other, miscellaneous operations
request_timeout_in_ms: 10000
# Enable operation timeout information exchange between nodes to accurately
# measure request timeouts. If disabled, replicas will assume that requests
# were forwarded to them instantly by the coordinator, which means that
# under overload conditions we will waste that much extra time processing
# already-timed-out requests.
#
# Warning: before enabling this property make sure to ntp is installed
# and the times are synchronized between the nodes.
cross_node_timeout: false
# Enable socket timeout for streaming operation.
# When a timeout occurs during streaming, streaming is retried from the start
# of the current file. This _can_ involve re-streaming an important amount of
# data, so you should avoid setting the value too low.
# Default value is 0, which never timeout streams.
# streaming_socket_timeout_in_ms: 0
# phi value that must be reached for a host to be marked down.
# most users should never need to adjust this.
# phi_convict_threshold: 8
# endpoint_snitch -- Set this to a class that implements
# IEndpointSnitch. The snitch has two functions:
# - it teaches Cassandra enough about your network topology to route
# requests efficiently
# - it allows Cassandra to spread replicas around your cluster to avoid
# correlated failures. It does this by grouping machines into
# "datacenters" and "racks." Cassandra will do its best not to have
# more than one replica on the same "rack" (which may not actually
# be a physical location)
#
# IF YOU CHANGE THE SNITCH AFTER DATA IS INSERTED INTO THE CLUSTER,
# YOU MUST RUN A FULL REPAIR, SINCE THE SNITCH AFFECTS WHERE REPLICAS
# ARE PLACED.
#
# Out of the box, Cassandra provides
# - SimpleSnitch:
# Treats Strategy order as proximity. This 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.
# - 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]