In Spark, is it a must not to have executors running in Master node when running in cluster mode? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhy is Spark's LinearRegressionWithSGD very slow locally?Why Logistic regression into Spark Mllib does not use Maximum likelihood estimation?Mahout Spark shell not workingWhy does my master node get heap memory full for inbuilt SVD API in Apache Spark during calculation of inverse of a square matrix?API to find out how many executors are running my Spark jobs?Best practice for developing using SparkUnable to open application master UI in spark1.6.1 in cluster modePlotting in PySpark?Navigating the jungle of choices for scalable ML deployment
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In Spark, is it a must not to have executors running in Master node when running in cluster mode?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhy is Spark's LinearRegressionWithSGD very slow locally?Why Logistic regression into Spark Mllib does not use Maximum likelihood estimation?Mahout Spark shell not workingWhy does my master node get heap memory full for inbuilt SVD API in Apache Spark during calculation of inverse of a square matrix?API to find out how many executors are running my Spark jobs?Best practice for developing using SparkUnable to open application master UI in spark1.6.1 in cluster modePlotting in PySpark?Navigating the jungle of choices for scalable ML deployment
$begingroup$
I was running my Spark application on AWS EMR, I launched a master node of m5.xlarge its CPU and RAM usages are both very low. So master node is run for Yarn and main driver to collect calculated data for further processing only?
apache-spark
asked Apr 3 at 2:41
tom10271tom10271
1062
$endgroup$
add a comment |
$begingroup$
I was running my Spark application on AWS EMR, I launched a master node of m5.xlarge its CPU and RAM usages are both very low. So master node is run for Yarn and main driver to collect calculated data for further processing only?
apache-spark
asked Apr 3 at 2:41
tom10271tom10271
1062
$endgroup$
add a comment |
$begingroup$
I was running my Spark application on AWS EMR, I launched a master node of m5.xlarge its CPU and RAM usages are both very low. So master node is run for Yarn and main driver to collect calculated data for further processing only?
apache-spark
asked Apr 3 at 2:41
tom10271tom10271
1062
$endgroup$
I was running my Spark application on AWS EMR, I launched a master node of m5.xlarge its CPU and RAM usages are both very low. So master node is run for Yarn and main driver to collect calculated data for further processing only?
apache-spark
apache-spark
asked Apr 3 at 2:41
tom10271tom10271
1062
asked Apr 3 at 2:41
tom10271tom10271
1062
asked Apr 3 at 2:41
tom10271tom10271
1062
asked Apr 3 at 2:41
tom10271tom10271
1062
asked Apr 3 at 2:41
tom10271tom10271
1062
1062
add a comment |
add a comment |
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