DATAREST-414 - Added integration tests for Cassandra.
Original pull request: #158.
This commit is contained in:
committed by
Oliver Gierke
parent
f09880ff16
commit
a31588cabc
1
.gitignore
vendored
1
.gitignore
vendored
@@ -10,3 +10,4 @@ target/
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*.log
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vf.gf.*
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out/
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_site
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8
pom.xml
8
pom.xml
@@ -33,6 +33,7 @@
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<springdata.neo4j>3.3.0.BUILD-SNAPSHOT</springdata.neo4j>
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<springdata.gemfire>1.6.0.BUILD-SNAPSHOT</springdata.gemfire>
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<springdata.solr>1.4.0.BUILD-SNAPSHOT</springdata.solr>
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<springdata.cassandra>1.2.0.BUILD-SNAPSHOT</springdata.cassandra>
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<hibernate.version>4.3.5.Final</hibernate.version>
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@@ -117,6 +118,13 @@
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.springframework.data</groupId>
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<artifactId>spring-data-cassandra</artifactId>
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<version>${springdata.cassandra}</version>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.hsqldb</groupId>
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<artifactId>hsqldb</artifactId>
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@@ -17,6 +17,8 @@
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<properties>
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<jsonpath>0.8.1</jsonpath>
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<cassandra.version>2.0.9</cassandra.version>
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<cassandraunit.version>2.0.2.1</cassandraunit.version>
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</properties>
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<dependencies>
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@@ -110,25 +112,130 @@
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.solr</groupId>
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<artifactId>solr-core</artifactId>
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<version>4.10.1</version>
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<scope>test</scope>
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<exclusions>
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<exclusion>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-api</artifactId>
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</exclusion>
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<exclusion>
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<artifactId>jdk.tools</artifactId>
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<groupId>jdk.tools</groupId>
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</exclusion>
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</exclusions>
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</dependency>
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</dependencies>
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<profiles>
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<profile>
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<id>cassandra</id>
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<activation>
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<activeByDefault>true</activeByDefault>
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</activation>
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<dependencies>
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<dependency>
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<groupId>org.apache.cassandra</groupId>
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<artifactId>cassandra-all</artifactId>
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<version>${cassandra.version}</version>
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<scope>test</scope>
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<exclusions>
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<exclusion>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-log4j12</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.cassandraunit</groupId>
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<artifactId>cassandra-unit-spring</artifactId>
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<version>${cassandraunit.version}</version>
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<scope>test</scope>
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<exclusions>
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<exclusion>
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<groupId>org.hamcrest</groupId>
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<artifactId>hamcrest-all</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.springframework</groupId>
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<artifactId>spring-context</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.springframework</groupId>
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<artifactId>spring-test</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.cassandra</groupId>
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<artifactId>cassandra-all</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.datastax.cassandra</groupId>
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<artifactId>cassandra-driver-core</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-log4j12</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.xerial.snappy</groupId>
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<artifactId>snappy-java</artifactId>
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<version>1.1.0.1</version>
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<scope>test</scope>
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</dependency>
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<!-- It appears that something else pulls antlr-runtime up to 3.5, which breaks cassandra -->
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<dependency>
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<groupId>org.antlr</groupId>
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<artifactId>antlr-runtime</artifactId>
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<version>3.2</version>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>com.google.guava</groupId>
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<artifactId>guava</artifactId>
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<version>15.0</version>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>com.googlecode.concurrentlinkedhashmap</groupId>
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<artifactId>concurrentlinkedhashmap-lru</artifactId>
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<version>1.3.1</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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</profile>
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<profile>
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<id>solr</id>
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<activation>
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<activeByDefault>true</activeByDefault>
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</activation>
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<dependencies>
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<dependency>
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<groupId>org.apache.solr</groupId>
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<artifactId>solr-core</artifactId>
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<version>4.10.1</version>
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<scope>test</scope>
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<exclusions>
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<exclusion>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-api</artifactId>
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</exclusion>
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<exclusion>
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<artifactId>jdk.tools</artifactId>
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<groupId>jdk.tools</groupId>
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</exclusion>
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<exclusion>
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<groupId>com.google</groupId>
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<artifactId>guava</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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</dependencies>
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</profile>
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</profiles>
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<build>
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<plugins>
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<plugin>
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@@ -155,6 +262,7 @@
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</includes>
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<!-- exclude store-specific tests from base-tests -->
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<excludes>
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<exclude>**/cassandra/*Test*.java</exclude>
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<exclude>**/gemfire/*Test*.java</exclude>
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<exclude>**/jpa/*Test*.java</exclude>
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<exclude>**/mongodb/*Test*.java</exclude>
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@@ -163,6 +271,18 @@
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</excludes>
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</configuration>
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</execution>
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<execution>
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<id>cassandra-tests</id>
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<goals>
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<goal>test</goal>
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</goals>
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<phase>test</phase>
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<configuration>
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<includes>
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<include>**/cassandra/*Test*.java</include>
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</includes>
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</configuration>
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</execution>
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<execution>
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<id>gemfire-tests</id>
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<goals>
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@@ -0,0 +1,71 @@
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/*
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* Copyright 2013-2015 the original author or authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.springframework.data.rest.webmvc.cassandra;
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import java.io.IOException;
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import com.datastax.driver.core.Cluster;
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import com.datastax.driver.core.Session;
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import org.apache.cassandra.exceptions.ConfigurationException;
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import org.apache.thrift.transport.TTransportException;
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import org.cassandraunit.utils.EmbeddedCassandraServerHelper;
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import org.junit.BeforeClass;
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import org.springframework.data.rest.webmvc.CommonWebTests;
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/**
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* Base class for testing with an embedded cassandra database
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*
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* @author Greg Turnquist
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*/
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public abstract class AbstractCassandraIntegrationTest extends CommonWebTests {
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/**
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* The session connected to the system keyspace.
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*/
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protected Session systemSession;
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/**
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* The {@link com.datastax.driver.core.Cluster} that's connected to Cassandra.
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*/
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protected Cluster cluster;
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/**
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* Launch an embedded Cassandra instance
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*
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* @throws ConfigurationException
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* @throws IOException
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* @throws TTransportException
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*/
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@BeforeClass
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public static void startDatabase() throws ConfigurationException, IOException, TTransportException {
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EmbeddedCassandraServerHelper.startEmbeddedCassandra("cassandra.yaml");
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}
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public AbstractCassandraIntegrationTest() {
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// check cluster
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if (cluster == null) {
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cluster = Cluster.builder()//
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.addContactPoint(CassandraProperties.HOSTNAME)//
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.withPort(CassandraProperties.PORT)//
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.build();
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}
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// check system session connected
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if (systemSession == null) {
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systemSession = cluster.connect();
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}
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}
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}
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@@ -0,0 +1,7 @@
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package org.springframework.data.rest.webmvc.cassandra;
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public class CassandraProperties {
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public static final String HOSTNAME = "localhost";
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public static final int PORT = 9142;
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}
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@@ -0,0 +1,52 @@
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package org.springframework.data.rest.webmvc.cassandra;
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import static org.springframework.cassandra.core.keyspace.CreateKeyspaceSpecification.*;
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import java.util.Arrays;
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import java.util.List;
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import org.springframework.cassandra.core.keyspace.CreateKeyspaceSpecification;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.data.cassandra.config.SchemaAction;
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import org.springframework.data.cassandra.config.java.AbstractCassandraConfiguration;
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import org.springframework.data.cassandra.repository.config.EnableCassandraRepositories;
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/**
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* Basic configuration for a Cassandra set up.
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*
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* @author Greg Turnquist
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*/
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@Configuration
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@EnableCassandraRepositories
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public class CassandraRepoConfig extends AbstractCassandraConfiguration {
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@Override
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protected String getKeyspaceName() {
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return "SpringDataRestCassandra";
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}
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@Override
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public SchemaAction getSchemaAction() {
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return SchemaAction.RECREATE_DROP_UNUSED;
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}
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@Override
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protected int getPort() {
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return CassandraProperties.PORT;
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}
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@Override
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public String[] getEntityBasePackages() {
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return new String[] {this.getClass().getPackage().getName()};
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}
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/**
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* When retrieving the keyspaces, create one for testing.
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*
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* @return
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*/
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@Override
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protected List<CreateKeyspaceSpecification> getKeyspaceCreations() {
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return Arrays.asList(createKeyspace().name(getKeyspaceName()).withSimpleReplication());
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}
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}
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@@ -0,0 +1,247 @@
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/*
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* Copyright 2013-2015 the original author or authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.springframework.data.rest.webmvc.cassandra;
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import static org.hamcrest.CoreMatchers.*;
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import static org.junit.Assert.*;
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import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.*;
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import java.io.IOException;
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import java.util.Arrays;
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import org.apache.cassandra.exceptions.ConfigurationException;
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import org.apache.thrift.transport.TTransportException;
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import org.junit.Before;
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import org.junit.Test;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.hateoas.Link;
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import org.springframework.http.MediaType;
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import org.springframework.mock.web.MockHttpServletResponse;
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import org.springframework.test.context.ContextConfiguration;
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import com.fasterxml.jackson.databind.ObjectMapper;
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/**
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* Integration tests for Cassandra repositories
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*
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* @author Greg Turnquist
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*/
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@ContextConfiguration(classes = CassandraRepoConfig.class)
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public class CassandraWebTests extends AbstractCassandraIntegrationTest {
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@Autowired private EmployeeRepository repository;
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@Override
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protected Iterable<String> expectedRootLinkRels() {
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return Arrays.asList("employees");
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}
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/**
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* Given that Spring Data Cassandra can leave behind persistent artifacts, need to clean out ALL entities
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* before launching a given test case.
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*
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* @throws ConfigurationException
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* @throws IOException
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* @throws TTransportException
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* @throws InterruptedException
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*/
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@Before
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public void cleanoutDatabase() throws ConfigurationException, IOException, TTransportException, InterruptedException {
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repository.deleteAll();
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}
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@Test
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public void create() throws Exception {
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Link employeeLink = client.discoverUnique("employees");
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ObjectMapper mapper = new ObjectMapper();
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Employee employee = new Employee();
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employee.setId("789");
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employee.setFirstName("Bilbo");
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employee.setLastName("Baggins");
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employee.setTitle("burgler");
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String bilboString = mapper.writeValueAsString(employee);
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MockHttpServletResponse response = postAndGet(employeeLink, bilboString, MediaType.APPLICATION_JSON);
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assertJsonPathEquals("$.firstName", "Bilbo", response);
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assertJsonPathEquals("$.lastName", "Baggins", response);
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assertJsonPathEquals("$.title", "burgler", response);
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}
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/**
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* After inserting data directly through a Spring Data Cassandra repository, verify Spring Data REST can
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* fetch the resources through hypermedia.
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*
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* @throws Exception
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*/
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@Test
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public void findAllEmployees() throws Exception {
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Employee employee1 = new Employee();
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employee1.setId("123");
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employee1.setFirstName("Frodo");
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employee1.setLastName("Baggins");
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employee1.setTitle("ring bearer");
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repository.save(employee1);
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Employee employee2 = new Employee();
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employee2.setId("789");
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employee2.setFirstName("Samwise");
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employee2.setLastName("Gamgee");
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employee2.setTitle("ring bearer");
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repository.save(employee2);
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Link employeesLink = client.discoverUnique("employees");
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client.follow(employeesLink)
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.andExpect(status().isOk())
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.andExpect(jsonPath("$._embedded.employees[*].firstName", hasItems("Samwise", "Frodo")))
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.andExpect(jsonPath("$._embedded.employees[*].lastName", hasItems("Gamgee", "Baggins")))
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.andExpect(jsonPath("$._embedded.employees[*].title", hasItems("ring bearer", "ring bearer")));
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}
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/**
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* Verify some basic creation (POST), updating (PATH) and replacing (PUT) functionality of Spring
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* Data Cassandra through Spring Data REST.
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*
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* @throws Exception
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*/
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@Test
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public void createAnEmployee() throws Exception {
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Employee employee = new Employee();
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employee.setId("123");
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employee.setFirstName("Frodo");
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employee.setLastName("Baggins");
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employee.setTitle("ring bearer");
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ObjectMapper mapper = new ObjectMapper();
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String employeeString = mapper.writeValueAsString(employee);
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Link employeeLink = client.discoverUnique("employees");
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MockHttpServletResponse response = postAndGet(employeeLink, employeeString, MediaType.APPLICATION_JSON);
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Link newlyMintedEmployeeLink = client.assertHasLinkWithRel("self", response);
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Employee newlyMintedEmployee = mapper.readValue(response.getContentAsString(), Employee.class);
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assertThat(newlyMintedEmployee.getFirstName(), equalTo(employee.getFirstName()));
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assertThat(newlyMintedEmployee.getLastName(), equalTo(employee.getLastName()));
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assertThat(newlyMintedEmployee.getTitle(), equalTo(employee.getTitle()));
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MockHttpServletResponse response2 = patchAndGet(
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newlyMintedEmployeeLink, "{\"firstName\": \"Bilbo\"}", MediaType.APPLICATION_JSON);
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Link refurbishedEmployeeLink = client.assertHasLinkWithRel("self", response2);
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Employee refurbishedEmployee = mapper.readValue(response2.getContentAsString(), Employee.class);
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assertThat(refurbishedEmployee.getFirstName(), equalTo("Bilbo"));
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assertThat(refurbishedEmployee.getLastName(), equalTo(employee.getLastName()));
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assertThat(refurbishedEmployee.getTitle(), equalTo(employee.getTitle()));
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MockHttpServletResponse response3 = putAndGet(
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refurbishedEmployeeLink, "{\"lastName\": \"Jr.\"}", MediaType.APPLICATION_JSON);
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|
||||
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()));
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,72 @@
|
||||
/*
|
||||
* 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;
|
||||
}
|
||||
}
|
||||
@@ -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> {
|
||||
|
||||
}
|
||||
586
spring-data-rest-webmvc/src/test/resources/cassandra.yaml
Normal file
586
spring-data-rest-webmvc/src/test/resources/cassandra.yaml
Normal file
@@ -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]
|
||||
Reference in New Issue
Block a user