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Problem connecting to spark in rstudio with sparklyr

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I am trying to establish a connection to spark via Rstudio using sparklyr package, but is giving me this error:

 Failed while connecting to sparklyr to port (8880) for sessionid (40729): Gateway in localhost:8880 did not respond.
 Path: C:sparkspark-2.0.0-bin-hadoop2.7binspark-submit2.cmd
 Parameters: --driver-memory, 2g, --class, sparklyr.Shell, "C:UsersJuan OssaDocumentsRwin-library3.5sparklyrjavasparklyr-2.0-2.11.jar", 8880, 40729
 Log: C:UsersJUANOS~1AppDataLocalTempRtmpG6SLIzfile40b461315f3b_spark.log


---- Output Log ----
Error occurred during initialization of VM
Could not reserve enough space for 2097152KB object heap

---- Error Log ----

I already try to increase the max heapsize using:

config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"

but the error still appears

This is my actual code:

config <- spark_config()
config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"
sc <- spark_connect(master = "local")

I put here some sessioninfo() if help some way and I have a CPU with 12GB of RAM:

Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Argentina.1252 LC_CTYPE=Spanish_Argentina.1252 LC_MONETARY=Spanish_Argentina.1252
[4] LC_NUMERIC=C LC_TIME=Spanish_Argentina.1252 

attached base packages:
[1] stats graphics grDevices utils datasets methods base 

other attached packages:
[1] sparklyr_1.0.9005

r apache-spark

share|improve this question

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges

add a comment
 | 

1

0

I am trying to establish a connection to spark via Rstudio using sparklyr package, but is giving me this error:

 Failed while connecting to sparklyr to port (8880) for sessionid (40729): Gateway in localhost:8880 did not respond.
 Path: C:sparkspark-2.0.0-bin-hadoop2.7binspark-submit2.cmd
 Parameters: --driver-memory, 2g, --class, sparklyr.Shell, "C:UsersJuan OssaDocumentsRwin-library3.5sparklyrjavasparklyr-2.0-2.11.jar", 8880, 40729
 Log: C:UsersJUANOS~1AppDataLocalTempRtmpG6SLIzfile40b461315f3b_spark.log


---- Output Log ----
Error occurred during initialization of VM
Could not reserve enough space for 2097152KB object heap

---- Error Log ----

I already try to increase the max heapsize using:

config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"

but the error still appears

This is my actual code:

config <- spark_config()
config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"
sc <- spark_connect(master = "local")

I put here some sessioninfo() if help some way and I have a CPU with 12GB of RAM:

Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Argentina.1252 LC_CTYPE=Spanish_Argentina.1252 LC_MONETARY=Spanish_Argentina.1252
[4] LC_NUMERIC=C LC_TIME=Spanish_Argentina.1252 

attached base packages:
[1] stats graphics grDevices utils datasets methods base 

other attached packages:
[1] sparklyr_1.0.9005

r apache-spark

share|improve this question

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges

add a comment
 | 

I am trying to establish a connection to spark via Rstudio using sparklyr package, but is giving me this error:

 Failed while connecting to sparklyr to port (8880) for sessionid (40729): Gateway in localhost:8880 did not respond.
 Path: C:sparkspark-2.0.0-bin-hadoop2.7binspark-submit2.cmd
 Parameters: --driver-memory, 2g, --class, sparklyr.Shell, "C:UsersJuan OssaDocumentsRwin-library3.5sparklyrjavasparklyr-2.0-2.11.jar", 8880, 40729
 Log: C:UsersJUANOS~1AppDataLocalTempRtmpG6SLIzfile40b461315f3b_spark.log


---- Output Log ----
Error occurred during initialization of VM
Could not reserve enough space for 2097152KB object heap

---- Error Log ----

I already try to increase the max heapsize using:

config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"

but the error still appears

This is my actual code:

config <- spark_config()
config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"
sc <- spark_connect(master = "local")

I put here some sessioninfo() if help some way and I have a CPU with 12GB of RAM:

Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Argentina.1252 LC_CTYPE=Spanish_Argentina.1252 LC_MONETARY=Spanish_Argentina.1252
[4] LC_NUMERIC=C LC_TIME=Spanish_Argentina.1252 

attached base packages:
[1] stats graphics grDevices utils datasets methods base 

other attached packages:
[1] sparklyr_1.0.9005

r apache-spark

share|improve this question

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges

 Failed while connecting to sparklyr to port (8880) for sessionid (40729): Gateway in localhost:8880 did not respond.
 Path: C:sparkspark-2.0.0-bin-hadoop2.7binspark-submit2.cmd
 Parameters: --driver-memory, 2g, --class, sparklyr.Shell, "C:UsersJuan OssaDocumentsRwin-library3.5sparklyrjavasparklyr-2.0-2.11.jar", 8880, 40729
 Log: C:UsersJUANOS~1AppDataLocalTempRtmpG6SLIzfile40b461315f3b_spark.log


---- Output Log ----
Error occurred during initialization of VM
Could not reserve enough space for 2097152KB object heap

---- Error Log ----

config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"

config <- spark_config()
config[["sparklyr.shell.conf"]] <- "spark.driver.extraJavaOptions=-XX:MaxHeapSize=4g"
sc <- spark_connect(master = "local")

Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Argentina.1252 LC_CTYPE=Spanish_Argentina.1252 LC_MONETARY=Spanish_Argentina.1252
[4] LC_NUMERIC=C LC_TIME=Spanish_Argentina.1252 

attached base packages:
[1] stats graphics grDevices utils datasets methods base 

other attached packages:
[1] sparklyr_1.0.9005

share|improve this question

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges

share|improve this question

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges

asked Mar 28 at 14:16

Juan David Ossa GomezJuan David Ossa Gomez

1044 bronze badges