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Can sparks be used with a spark deployed on a manually controlled cluster?

Is the sparklyrR package able to connect to hasoop clusters managed by YARN? This does not seem to be documented in the documentation. Using the package SparkRthat comes with Spark, you can do:

# set R environment variables
Sys.setenv(YARN_CONF_DIR=...)
Sys.setenv(SPARK_CONF_DIR=...)
Sys.setenv(LD_LIBRARY_PATH=...)
Sys.setenv(SPARKR_SUBMIT_ARGS=...)

spark_lib_dir <- ... # install specific
library(SparkR, lib.loc = c(sparkr_lib_dir, .libPaths()))
sc <- sparkR.init(master = "yarn-client")

However, when I moved the last lines above using

library(sparklyr)
sc <- spark_connect(master = "yarn-client")

I get errors:

Error in start_shell(scon, list(), jars, packages) : 
  Failed to launch Spark shell. Ports file does not exist.
    Path: /usr/hdp/2.4.2.0-258/spark/bin/spark-submit
    Parameters: '--packages' 'com.databricks:spark-csv_2.11:1.3.0,com.amazonaws:aws-java-sdk-pom:1.10.34' '--jars' '<path to R lib>/3.2/sparklyr/java/rspark_utils.jar'  sparkr-shell /tmp/RtmpT31OQT/filecfb07d7f8bfd.out

Ivy Default Cache set to: /home/mpollock/.ivy2/cache
The jars for the packages stored in: /home/mpollock/.ivy2/jars
:: loading settings :: url = jar:file:<path to spark install>/lib/spark-assembly-1.6.1.2.4.2.0-258-hadoop2.7.1.2.4.2.0-258.jar!/org/apache/ivy/core/settings/ivysettings.xml
com.databricks#spark-csv_2.11 added as a dependency
com.amazonaws#aws-java-sdk-pom added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent;1.0
    confs: [default]
:: resolution report :: resolve 480ms :: artifacts dl 0ms
    :: modules in use:
    -----------------------------------------

Is it sparklyran alternative SparkRor is it built on top of the package SparkR?

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4 answers

, sparklyr , . , , :

  • SPARK_HOME, .
  • , : sc <- spark_connect(master = "yarn-client")

: http://spark.rstudio.com/deployment.html

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, , , , , .

: , , YARN, . , , , , .

() :

config <- spark_config()
config$spark.driver.cores <- 32
config$spark.executor.cores <- 32
config$spark.executor.memory <- "40g"

library(sparklyr)

Sys.setenv(SPARK_HOME = "/usr/local/spark")
Sys.setenv(HADOOP_CONF_DIR = '/usr/local/hadoop/etc/hadoop/conf')
Sys.setenv(YARN_CONF_DIR = '/usr/local/hadoop/etc/hadoop/conf')

config <- spark_config()
config$spark.executor.instances <- 4
config$spark.executor.cores <- 4
config$spark.executor.memory <- "4G"

sc <- spark_connect(master="yarn-client", config=config, version = '2.1.0')

R Bloggers

+1

, Cloudera Hadoop (CDH)?

, CDR- Spark distro:

Sys.getenv('SPARK_HOME')
[1] "/usr/lib/spark"  # CDH-provided Spark
library(sparklyr)
sc <- spark_connect(master = "yarn-client")
Error in sparkapi::start_shell(master = master, spark_home = spark_home,  : 
      Failed to launch Spark shell. Ports file does not exist.
        Path: /usr/lib/spark/bin/spark-submit
        Parameters: --jars, '/u01/app/oracle/product/12.1.0.2/dbhome_1/R/library/sparklyr/java/sparklyr.jar', --packages, 'com.databricks:spark-csv_2.11:1.3.0','com.amazonaws:aws-java-sdk-pom:1.10.34', sparkr-shell, /tmp/Rtmp6RwEnV/file307975dc1ea0.out

Ivy Default Cache set to: /home/oracle/.ivy2/cache
The jars for the packages stored in: /home/oracle/.ivy2/jars
:: loading settings :: url = jar:file:/usr/lib/spark/lib/spark-assembly-1.6.0-cdh5.7.0-hadoop2.6.0-cdh5.7.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
com.databricks#spark-csv_2.11 added as a dependency
com.amazonaws#aws-java-sdk-pom added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent;1.0
    confs: [default]
    found com.databricks#spark-csv_2.11;1.3.0 in central
    found org.apache.commons#commons-csv;1.1 in central
    found com.univocity#univocity-parsers;1.5.1 in central
    found com.

, Databricks (Spark 1.6.1, Hadoop 2.6) SPARK_HOME, :

Sys.setenv(SPARK_HOME = '/home/oracle/spark-1.6.1-bin-hadoop2.6') 
sc <- spark_connect(master = "yarn-client") # OK
library(dplyr)
iris_tbl <- copy_to(sc, iris)
src_tbls(sc)
[1] "iris"

Cloudera SparkR , , sparklyr SparkR. Spark, CDH, config=list(), sparklyr Github:

sc <- spark_connect(master='yarn-client', config=list()) # with CDH-provided Spark
Error in sparkapi::start_shell(master = master, spark_home = spark_home,  : 
  Failed to launch Spark shell. Ports file does not exist.
    Path: /usr/lib/spark/bin/spark-submit
    Parameters: --jars, '/u01/app/oracle/product/12.1.0.2/dbhome_1/R/library/sparklyr/java/sparklyr.jar', sparkr-shell, /tmp/Rtmpi9KWFt/file22276cf51d90.out

Error: sparkr.zip does not exist for R application in YARN mode.

, Parameters ( , ), sparkr-shell...

( sparklyr 0.2.28, sparkapi 0.3.15, R RStudio, Oracle Linux)

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For this problem, it is recommended that you upgrade to version sparklyrversion 0.2.30or later. Upgrade with devtools::install_github("rstudio/sparklyr")and then restart the r session.

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