How to allocate 16 cores and 64 GB ram in spark 2.0.2 local mode?
I'm new to use spark and trying to calculate huge data and send it to the target Database.
Data file amounts approx 3GB and I'm available on A server
"1 CPU, physical 16 cores(32 logical cores), 64 GB RAM."
Due to calculate my data and transmit it to target DB, I touch spark-env.sh in conf folder and add two lines
"spark_executor_memory=4g spark_driver_memory 4g"
and also I am planning to use whole cores. (ie)local[*] in my model code, but wonder which core, between physical and logical, is close to do spark
Before this, I packaged my logic file, holding ".jars".
I submit my jar file several times But doesn`t work and I notice there are errors
first one "GC overhead Limit" -> do not know why it signs
Second one "heartBeatResponse(false)" -> it happens when shuffling groupBy or transmitting DB server
I still get confused how to tune spark at the moment of local mode.
Really hopes anyone give solution to sort it out.
scala performance apache-spark apache-spark-standalone memory-overhead
edited Nov 12 at 10:26
shriyog
465616
asked Nov 12 at 10:09
Prorsum J
1
add a comment |
I'm new to use spark and trying to calculate huge data and send it to the target Database.
Data file amounts approx 3GB and I'm available on A server
"1 CPU, physical 16 cores(32 logical cores), 64 GB RAM."
Due to calculate my data and transmit it to target DB, I touch spark-env.sh in conf folder and add two lines
"spark_executor_memory=4g spark_driver_memory 4g"
and also I am planning to use whole cores. (ie)local[*] in my model code, but wonder which core, between physical and logical, is close to do spark
Before this, I packaged my logic file, holding ".jars".
I submit my jar file several times But doesn`t work and I notice there are errors
first one "GC overhead Limit" -> do not know why it signs
Second one "heartBeatResponse(false)" -> it happens when shuffling groupBy or transmitting DB server
I still get confused how to tune spark at the moment of local mode.
Really hopes anyone give solution to sort it out.
scala performance apache-spark apache-spark-standalone memory-overhead
edited Nov 12 at 10:26
shriyog
465616
asked Nov 12 at 10:09
Prorsum J
1
I would suggest going step-by-step starting from just pulling the data into aDFand then further you may go for custom aggregations one by one.
– shriyog
Nov 12 at 10:35
add a comment |
I'm new to use spark and trying to calculate huge data and send it to the target Database.
Data file amounts approx 3GB and I'm available on A server
"1 CPU, physical 16 cores(32 logical cores), 64 GB RAM."
Due to calculate my data and transmit it to target DB, I touch spark-env.sh in conf folder and add two lines
"spark_executor_memory=4g spark_driver_memory 4g"
and also I am planning to use whole cores. (ie)local[*] in my model code, but wonder which core, between physical and logical, is close to do spark
Before this, I packaged my logic file, holding ".jars".
I submit my jar file several times But doesn`t work and I notice there are errors
first one "GC overhead Limit" -> do not know why it signs
Second one "heartBeatResponse(false)" -> it happens when shuffling groupBy or transmitting DB server
I still get confused how to tune spark at the moment of local mode.
Really hopes anyone give solution to sort it out.
scala performance apache-spark apache-spark-standalone memory-overhead
edited Nov 12 at 10:26
shriyog
465616
asked Nov 12 at 10:09
Prorsum J
1
I'm new to use spark and trying to calculate huge data and send it to the target Database.
Data file amounts approx 3GB and I'm available on A server
"1 CPU, physical 16 cores(32 logical cores), 64 GB RAM."
Due to calculate my data and transmit it to target DB, I touch spark-env.sh in conf folder and add two lines
"spark_executor_memory=4g spark_driver_memory 4g"
and also I am planning to use whole cores. (ie)local[*] in my model code, but wonder which core, between physical and logical, is close to do spark
Before this, I packaged my logic file, holding ".jars".
I submit my jar file several times But doesn`t work and I notice there are errors
first one "GC overhead Limit" -> do not know why it signs
Second one "heartBeatResponse(false)" -> it happens when shuffling groupBy or transmitting DB server
I still get confused how to tune spark at the moment of local mode.
Really hopes anyone give solution to sort it out.
scala performance apache-spark apache-spark-standalone memory-overhead
scala performance apache-spark apache-spark-standalone memory-overhead
edited Nov 12 at 10:26
shriyog
465616
asked Nov 12 at 10:09
Prorsum J
1
edited Nov 12 at 10:26
shriyog
465616
asked Nov 12 at 10:09
Prorsum J
1
edited Nov 12 at 10:26
shriyog
465616
edited Nov 12 at 10:26
shriyog
465616
edited Nov 12 at 10:26
shriyog
465616
465616
asked Nov 12 at 10:09
Prorsum J
1
asked Nov 12 at 10:09
Prorsum J
1
asked Nov 12 at 10:09
Prorsum J
1
1
I would suggest going step-by-step starting from just pulling the data into aDFand then further you may go for custom aggregations one by one.
– shriyog
Nov 12 at 10:35
add a comment |
I would suggest going step-by-step starting from just pulling the data into aDFand then further you may go for custom aggregations one by one.
– shriyog
Nov 12 at 10:35
I would suggest going step-by-step starting from just pulling the data into a
DF and then further you may go for custom aggregations one by one.– shriyog
Nov 12 at 10:35
I would suggest going step-by-step starting from just pulling the data into a
DF and then further you may go for custom aggregations one by one.– shriyog
Nov 12 at 10:35
add a comment |
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I would suggest going step-by-step starting from just pulling the data into a
DFand then further you may go for custom aggregations one by one.– shriyog
Nov 12 at 10:35