当我尝试添加# Create an RDD from a text file.
#
# This function reads a text file from HDFS, a local file system (available on all
# nodes), or any Hadoop-supported file system URI, and creates an
# RDD of strings from it.
#
# @param sc SparkContext to use
# @param path Path of file to read. A vector of multiple paths is allowed.
# @param minPartitions Minimum number of partitions to be created. If NULL, the default
# value is chosen based on available parallelism.
# @return RDD where each item is of type \code{character}
# @export
# @examples
#\dontrun{
# sc <- sparkR.init()
# lines <- textFile(sc, "myfile.txt")
#}
textFile <- function(sc, path, minPartitions = NULL) {
# Allow the user to have a more flexible definiton of the text file path
path <- suppressWarnings(normalizePath(path))
# Convert a string vector of paths to a string containing comma separated paths
path <- paste(path, collapse = ",")
jrdd <- callJMethod(sc, "textFile", path, getMinPartitions(sc, minPartitions))
# jrdd is of type JavaRDD[String]
RDD(jrdd, "string")
}
格式文件的预览时，出现以下错误。
geo_view效果很好。
以下是CKAN错误日志文件的剪切：
geojson_view这可能看起来像写入失败是问题，但这是什么？
我使用CKAN 2.3软件包安装。
答案 0 :(得分：0)
有解决此问题的拉取请求：https://github.com/ckan/ckanext-geoview/pull/19
您可以等到此合并，或直接使用提供的代码。