Mat*_*ock 4 r hadoop-yarn apache-spark sparkapi sparklyr
是sparklyr- [R包能够连接到YARN管理Hadoop集群?这似乎没有在集群部署文档中记录.使用SparkRSpark附带的软件包可以通过以下方式实现:
# 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")
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然而,当我用上面的最后一行交换时
library(sparklyr)
sc <- spark_connect(master = "yarn-client")
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我收到错误:
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:
-----------------------------------------
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是sparklyr替代SparkR或是否建立在SparkR包装之上?
是的,sparklyr可以用于纱线管理的集群.为了连接到纱线管理的集群,需要:
sc <- spark_connect(master = "yarn-client")另见:http://spark.rstudio.com/deployment.html
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