R/core_jobj.R

Defines functions attach_connection clear_jobjs cleanup.jobj jobj_inspect jobj_info jobj_create jobj_subclass getJobj isValidJobj get_to_remove_jobjs get_valid_jobjs print_jobj print.spark_jobj spark_jobj.spark_jobj spark_jobj.default spark_jobj_id spark_jobj

Documented in print_jobj spark_jobj

#' Retrieve a Spark JVM Object Reference
#'
#' This S3 generic is used for accessing the underlying Java Virtual Machine
#' (JVM) Spark objects associated with \R objects. These objects act as
#' references to Spark objects living in the JVM. Methods on these objects
#' can be called with the \code{\link{invoke}} family of functions.
#'
#' @param x An \R object containing, or wrapping, a \code{spark_jobj}.
#' @param ... Optional arguments; currently unused.
#'
#' @seealso \code{\link{invoke}}, for calling methods on Java object references.
#'
#' @exportClass spark_jobj
#' @export
spark_jobj <- function(x, ...) {
  UseMethod("spark_jobj")
}

spark_jobj_id <- function(x) {
  x$id
}

#' @export
spark_jobj.default <- function(x, ...) {
  stop("Unable to retrieve a spark_jobj from object of class ",
    paste(class(x), collapse = " "),
    call. = FALSE
  )
}

#' @export
spark_jobj.spark_jobj <- function(x, ...) {
  x
}

#' @export
print.spark_jobj <- function(x, ...) {
  print_jobj(spark_connection(x), x, ...)
}

#' Generic method for print jobj for a connection type
#'
#' @param sc \code{spark_connection} (used for type dispatch)
#' @param jobj Object to print
#'
#' @keywords internal
#'
#' @export
print_jobj <- function(sc, jobj, ...) {
  UseMethod("print_jobj")
}

get_valid_jobjs <- function(con) {
  if (is.null(con$state$validJobjs)) {
    con$state$validJobjs <- new.env(parent = emptyenv())
  }
  con$state$validJobjs
}

get_to_remove_jobjs <- function(con) {
  if (is.null(con$state$toRemoveJobjs)) {
    con$state$toRemoveJobjs <- new.env(parent = emptyenv())
  }
  con$state$toRemoveJobjs
}

# Check if jobj points to a valid external JVM object
isValidJobj <- function(jobj) {
  exists("connection", jobj) && exists(jobj$id, get_valid_jobjs(jobj$connection))
}

getJobj <- function(con, objId) {
  newObj <- jobj_create(con, objId)
  validJobjs <- get_valid_jobjs(con)
  validJobjs[[objId]] <- get0(objId, validJobjs, ifnotfound = 0) + 1

  newObj
}

jobj_subclass <- function(con) {
  UseMethod("jobj_subclass")
}

# Handler for a java object that exists on the backend.
jobj_create <- function(con, objId) {
  if (!is.character(objId)) {
    stop("object id must be a character")
  }
  # NOTE: We need a new env for a jobj as we can only register
  # finalizers for environments or external references pointers.
  obj <- structure(new.env(parent = emptyenv()), class = c("spark_jobj", jobj_subclass(con)))
  obj$id <- objId

  # Register a finalizer to remove the Java object when this reference
  # is garbage collected in R
  reg.finalizer(obj, cleanup.jobj)
  obj
}

jobj_info <- function(jobj) {
  if (!inherits(jobj, "spark_jobj")) {
    stop("'jobj_info' called on non-jobj")
  }

  class <- NULL
  repr <- NULL

  tryCatch(
    {
      class <- invoke(jobj, "getClass")
      if (inherits(class, "spark_jobj")) {
        class <- invoke(class, "getName")
      }
    },
    error = function(e) {
    }
  )
  tryCatch(
    {
      repr <- invoke(jobj, "toString")
    },
    error = function(e) {
    }
  )
  list(
    class = class,
    repr = repr
  )
}

jobj_inspect <- function(jobj) {
  print(jobj)
  if (!connection_is_open(spark_connection(jobj))) {
    return(jobj)
  }

  class <- invoke(jobj, "getClass")

  cat("Fields:\n")
  fields <- invoke(class, "getDeclaredFields")
  lapply(fields, function(field) {
    print(field)
  })

  cat("Methods:\n")
  methods <- invoke(class, "getDeclaredMethods")
  lapply(methods, function(method) {
    print(method)
  })

  jobj
}

cleanup.jobj <- function(jobj) {
  if (isValidJobj(jobj)) {
    objId <- jobj$id
    validJobjs <- get_valid_jobjs(jobj$connection)
    validJobjs[[objId]] <- validJobjs[[objId]] - 1

    if (validJobjs[[objId]] == 0) {
      rm(list = objId, envir = validJobjs)
      # NOTE: We cannot call removeJObject here as the finalizer may be run
      # in the middle of another RPC. Thus we queue up this object Id to be removed
      # and then run all the removeJObject when the next RPC is called.
      toRemoveJobjs <- get_to_remove_jobjs(jobj$connection)
      toRemoveJobjs[[objId]] <- 1
    }
  }
}

clear_jobjs <- function() {
  scons <- spark_connection_find()
  for (scon in scons) {
    validJobjs <- get_valid_jobjs(scons)
    valid <- ls(validJobjs)
    rm(list = valid, envir = validJobjs)

    toRemoveJobjs <- get_to_remove_jobjs(scons)
    removeList <- ls(toRemoveJobjs)
    rm(list = removeList, envir = toRemoveJobjs)
  }
}

attach_connection <- function(jobj, connection) {
  if (inherits(jobj, "spark_jobj")) {
    jobj$connection <- connection
  }
  else if (is.list(jobj) || inherits(jobj, "struct")) {
    jobj <- lapply(jobj, function(e) {
      attach_connection(e, connection)
    })
  }
  else if (is.environment(jobj)) {
    jobj <- eapply(jobj, function(e) {
      attach_connection(e, connection)
    })
  }

  jobj
}

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