129 lines
7.8 KiB
Django/Jinja
129 lines
7.8 KiB
Django/Jinja
<?xml version="1.0" encoding="UTF-8"?>
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<beans
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xmlns="http://www.springframework.org/schema/beans"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xmlns:util="http://www.springframework.org/schema/util"
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xsi:schemaLocation="
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http://www.springframework.org/schema/beans
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http://www.springframework.org/schema/beans/spring-beans.xsd
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http://www.springframework.org/schema/util
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http://www.springframework.org/schema/util/spring-util.xsd">
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<bean id="grid.cfg" class="org.apache.ignite.configuration.IgniteConfiguration">
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<property name="cacheConfiguration">
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<list>
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<bean abstract="true" class="org.apache.ignite.configuration.CacheConfiguration" id="cache-template-bean">
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<!-- when you create a template via XML configuration, you must add an asterisk to the name of the template -->
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<property name="name" value="SanityDirectoryCacheTemplate*"/>
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<property name="cacheMode" value="PARTITIONED"/>
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<property name="backups" value="1"/>
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<property name="onheapCacheEnabled" value="true"/>
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<property name="rebalanceMode" value="ASYNC"/>
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<!-- 副本同步模式： -->
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<!-- PRIMARY_SYNC (默认模式，primary 写成功即可算成功,从backup节点读数据，有可能读到的任然是旧数据) -->
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<!-- FULL_SYNC (写cache的操作在primary节点和backup节点都成功写入后返回, 保证了写入成功后节点之间的数据都一样) -->
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<!-- FULL_ASYNC (写cache的操作不用等primary节点和backup节点成功写入即可返回, 读primary节点的数据都有可能读到旧数据) -->
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<property name="writeSynchronizationMode" value="PRIMARY_SYNC"/>
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<!-- 分区丢失处理： -->
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<!-- IGNORE (默认模式，即使出现了partition loss的情况，Ignite会自动忽略并且会清空和partion loss相关的状态不会触发EVT_CACHE_REBALANCE_PART_DATA_LOST 事件) -->
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<!-- READ_WRITE_ALL (Ignite允许所有的读写操作，就好像partition loss没发生过) -->
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<!-- READ_WRITE_SAFE (允许对没有丢失的partition的读写操作，但是对已经丢失的partition的读写操作会失败并抛异常) -->
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<!-- READ_ONLY_ALL (允许对丢失的和正常的partition的读操作，但是写操作会失败并抛异常) -->
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<!-- READ_ONLY_SAFE (所有的写操作和对丢失partition的读操作都会失败并抛异常。允许对正常的partition的读操作) -->
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<property name="partitionLossPolicy" value="READ_WRITE_ALL"/>
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<!-- Other cache parameters -->
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<!-- Enable statistics for the cache. -->
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<property name="statisticsEnabled" value="true"/>
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</bean>
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</list>
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</property>
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<property name="metricsLogFrequency" value="0"/>
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<!--失败检测 超时时长-->
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<property name="failureDetectionTimeout" value="#{60 * 60 * 1000}"/>
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<!-- 服务worker 之间交互 timeout 时间，默认 10s -->
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<property name="systemWorkerBlockedTimeout" value="#{60 * 60 * 1000}"/>
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<!-- 服务出现故障自动重启 -->
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<property name="failureHandler">
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<bean class="org.apache.ignite.failure.RestartProcessFailureHandler"/>
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</property>
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<!-- Set batch size. -->
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<property name="rebalanceBatchSize" value="#{1 * 1024 * 1024 * 1024}"/>
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<!-- Set throttle interval. -->
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<!-- 查询线程池大小 (max(8, total number of cores)) -->
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<property name="queryThreadPoolSize" value="208"/>
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<property name="rebalanceThrottle" value="100"/>
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<property name="dataStorageConfiguration">
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<bean class="org.apache.ignite.configuration.DataStorageConfiguration">
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<!--并发性水平 可由自己实际情况而定 -->
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<property name="concurrencyLevel" value="10000"/>
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<!-- 设置内存页大小 (getconf PAGESIZE) -->
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<property name="pageSize" value="#{4 * 1024}"/>
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<!-- Size of the WAL (Write Ahead Log) segment -->
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<property name="walSegmentSize" value="#{1024 * 1024 * 1024}"/>
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<!--In our experience LOG_ONLY is a good compromise between durability and performance.-->
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<property name="walMode" value="LOG_ONLY"/>
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<!-- Enable write throttling. -->
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<property name="writeThrottlingEnabled" value="true"/>
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<!-- 检查点频率-->
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<!--Checkpointing frequency which is a minimal interval when the dirty pages will be written to the Persistent Store.-->
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<property name="checkpointFrequency" value="180000"/>
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<!-- persistent storage metrics -->
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<property name="metricsEnabled" value="true"/>
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<property name="defaultDataRegionConfiguration">
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<bean class="org.apache.ignite.configuration.DataRegionConfiguration">
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<!-- 100 MB initial size. -->
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<property name="initialSize" value="#{100L * 1024 * 1024}"/>
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<!-- Setting region max size equal to physical RAM size(5 GB). -->
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<property name="maxSize" value="{{ ignite.maxSize }}"/>
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<property name="checkpointPageBufferSize" value="#{20L *1024* 1024 * 1024L}" />
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<property name="persistenceEnabled" value="true"/>
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</bean>
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</property>
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<!-- Defining several data regions for different memory regions 持久化数据存储目录 -->
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<property name="storagePath" value="/persistence/storage" />
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<property name="walArchivePath" value="/persistence/walArchive" />
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<property name="walPath" value="/persistence/wal" />
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</bean>
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</property>
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<property name="clientConnectorConfiguration">
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<bean class="org.apache.ignite.configuration.ClientConnectorConfiguration">
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<property name="port" value="10800"/>
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</bean>
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</property>
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<!-- 指标导出器. -->
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<property name="metricExporterSpi">
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<list>
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<bean class="org.apache.ignite.spi.metric.jmx.JmxMetricExporterSpi"/>
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<bean class="org.apache.ignite.spi.metric.log.LogExporterSpi"/>
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<bean class="org.apache.ignite.spi.metric.opencensus.OpenCensusMetricExporterSpi"/>
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</list>
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</property>
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<!-- 节点发现. -->
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<property name="discoverySpi">
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<bean class="org.apache.ignite.spi.discovery.zk.ZookeeperDiscoverySpi">
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<property name="zkConnectionString" value="{% for dev_info in groups.zookeeper -%}
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{% if loop.last -%}
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{{dev_info}}:2181"/>
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{%- else %}
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{{dev_info}}:2181,
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{%- endif %}
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{%- endfor %}
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<property name="sessionTimeout" value="30000"/>
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<property name="zkRootPath" value="/apacheIgnite"/>
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<property name="joinTimeout" value="10000"/>
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</bean>
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</property>
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</bean>
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<!-- 监控配置. -->
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<bean id="opencensusWrapper" class="org.springframework.beans.factory.config.MethodInvokingBean">
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<property name="staticMethod" value="io.opencensus.exporter.stats.prometheus.PrometheusStatsCollector.createAndRegister"/>
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</bean>
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<bean id="httpServer" class="io.prometheus.client.exporter.HTTPServer">
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<constructor-arg type="java.lang.String" value="{{ inventory_hostname }}"/>
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<constructor-arg type="int" value="9916"/>
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<constructor-arg type="boolean" value="true"/>
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</bean>
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</beans>
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