R/spark_version.R

Defines functions spark_version_latest spark_version_from_home spark_version_from_home_version spark_version.default spark_version spark_version_clean

Documented in spark_version spark_version_from_home

spark_version_clean <- function(version) {
  gsub("\\.$", "", gsub("([0-9]+\\.?)[^0-9\\.](.*)", "\\1", version))
}

#' Get the Spark Version Associated with a Spark Connection
#'
#' Retrieve the version of Spark associated with a Spark connection.
#'
#' Suffixes for e.g. preview versions, or snapshotted versions,
#' are trimmed -- if you require the full Spark version, you can
#' retrieve it with \code{invoke(spark_context(sc), "version")}.
#'
#' @param sc A \code{spark_connection}.
#'
#' @return The Spark version as a \code{\link{numeric_version}}.
#'
#' @export
spark_version <- function(sc) {
  UseMethod("spark_version")
}

#' @export
spark_version.default <- function(sc) {

  # use cached value if available
  if (!is.null(sc$state$spark_version)) {
    return(sc$state$spark_version)
  }

  # get the version
  version <- invoke(spark_context(sc), "version")

  # Get rid of -preview and other suffix variations
  version <- spark_version_clean(version)

  # cache as numeric version
  sc$state$spark_version <- numeric_version(version)

  # return to caller
  sc$state$spark_version
}

spark_version_from_home_version <- function() {
  version <- Sys.getenv("SPARK_HOME_VERSION")
  if (nzchar(version)) version else NULL
}

#' Get the Spark Version Associated with a Spark Installation
#'
#' Retrieve the version of Spark associated with a Spark installation.
#'
#' @param spark_home The path to a Spark installation.
#' @param default The default version to be inferred, in case
#'   version lookup failed, e.g. no Spark installation was found
#'   at \code{spark_home}.
#'
#' @export
spark_version_from_home <- function(spark_home, default = NULL) {
  versionAttempts <- list(
    useDefault = function() {
      default
    },
    useEnvironmentVariable = function() {
      spark_version_from_home_version()
    },
    useReleaseFile = function() {
      versionedFile <- file.path(spark_home, "RELEASE")
      if (file.exists(versionedFile)) {
        releaseContents <- readLines(versionedFile)

        if (!is.null(releaseContents) && length(releaseContents) > 0) {
          gsub("Spark | built.*", "", releaseContents[[1]])
        }
      }
    },
    useAssemblies = function() {
      candidateVersions <- list(
        list(path = "lib", pattern = "spark-assembly-([0-9\\.]*)-hadoop.[0-9\\.]*\\.jar"),
        list(path = "yarn", pattern = "spark-([0-9\\.]*)-preview-yarn-shuffle\\.jar"),
        list(path = "yarn", pattern = "spark-([0-9\\.]*)-yarn-shuffle\\.jar"),
        list(path = "lib", pattern = "spark-([0-9\\.]*)-preview-yarn-shuffle\\.jar"),
        list(path = "lib", pattern = "spark-([0-9\\.]*)-yarn-shuffle\\.jar"),
        list(path = "lib", pattern = "spark-assembly-([0-9\\.]*)-cdh[0-9\\.]*-hadoop.[0-9\\.]*\\.jar")
      )

      candidateFiles <- lapply(candidateVersions, function(e) {
        c(
          e,
          list(
            files = list.files(
              file.path(spark_home, e$path),
              pattern = e$pattern,
              recursive = TRUE
            )
          )
        )
      })

      filteredCandidates <- Filter(function(f) length(f$files) > 0, candidateFiles)
      if (length(filteredCandidates) > 0) {
        valid <- filteredCandidates[[1]]
        e <- regexec(valid$pattern, valid$files[[1]])
        match <- regmatches(valid$files[[1]], e)
        if (length(match) > 0 && length(match[[1]]) > 1) {
          return(match[[1]][[2]])
        }
      }
    },
    useSparkSubmit = function() {
      version_output <- system2(
        file.path(spark_home, "bin", "spark-submit"),
        "--version",
        stderr = TRUE, stdout = TRUE
      )

      version_matches <- regmatches(version_output, regexec("   version (.*)$", version_output))
      if (any(sapply(version_matches, length) > 0)) {
        version_row <- which(sapply(version_matches, length) > 0)
        return(version_matches[[version_row]][2])
      }
    }
  )

  for (versionAttempt in versionAttempts) {
    result <- versionAttempt()
    if (length(result) > 0) {
      return(spark_version_clean(result))
    }
  }

  stop(
    "Failed to detect version from SPARK_HOME or SPARK_HOME_VERSION. ",
    "Try passing the spark version explicitly."
  )
}

spark_version_latest <- function(version = NULL) {
  versions <- spark_available_versions(show_minor = TRUE, show_future = TRUE)$spark

  if (is.null(version)) {
    versions[length(versions)]
  } else {
    # suppress 'no non-missing arguments, returning NA' warnings (handled below)
    version <- suppressWarnings(
      max(versions[grepl(version, versions, fixed = TRUE)])
    )

    if (is.na(version)) {
      # If the user-supplied version does not match any of the known version numbers,
      # then return the highest Spark version we know so far.
      versions[length(versions)]
    } else {
      version
    }
  }
}

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sparklyr documentation built on Jan. 8, 2022, 5:06 p.m.