I started ignite on yarn and then tried to submit a sample spark job. The ignition job took all available memory and so spark job was in "accepted" state forever. Spark job never had enough resources to run.
So, I copied the following file to hdfs path /tmp/ignite and gave IGNITE_XML_CONFIG=/tmp/ignite/cache-settings.xml and then started ignite. It still takes up all available cluster memory (which is less around 8.5 GB). How can I manage the memory that Ignite takes up, so that I can start other jobs? <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd"> <bean id="grid.cfg" class="org.apache.ignite.configuration.IgniteConfiguration"> <property name="cacheConfiguration"> <list> <bean class="org.apache.ignite.configuration.CacheConfiguration"> <property name="startSize" value="#{2000 * 1024 * 1024}"/> <property name="atomicityMode" value="ATOMIC"/> <property name="backups" value="1"/> <property name="affinity" ref="cacheAffinity"/> </bean> </list> </property> </bean> </beans> -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/ignition-on-yarn-taking-up-all-memory-tp7161.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.
