@Victor You can get detailed explaination about Yarn "Cluster Memory" in the following thread. https://community.hortonworks.com/questions/144325/why-my-cluster-memory-is-less-even-though-physical.html Regaarding 0 (Zero Memory utiliaztion). Until you run a job you wont see the memory being utilized. So please try running some job like following and then refresh the ambari Yarn dashboard. # su - spark # export SPARK_MAJOR_VERSION=2 # cd /usr/hdp/current/spark2-client # ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --num-executors 3 --driver-memory 512m --executor-memory 512m --executor-cores 1 examples/jars/spark-examples*.jar 10 . ... View more

@Victor If your VM has enough resources then there is no harm in setting the values to the recommended one. ... View more

@Victor I usually install following the next steps: 1. Locate the version you need to install by opening the following link on your browser https://repo.continuum.io/miniconda/ for example lets say you decided to use https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh 2. Download the installer yum install wget bzip2 wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh chmod +x Miniconda3-latest-Linux-x86_64.sh 3. Run the installer and follow the steps ./Miniconda3-latest-Linux-x86_64.sh Note: I usually select a install location like /opt/miniconda3 or similar that can be shared and used by different users HTH *** If you found this answer addressed your question, please take a moment to login and click the "accept" link on the answer. ... View more