map {dipsaus}R Documentation

Create R object map.


Provides five types of map that fit in different use cases.


session_map(map = fastmap::fastmap())

rds_map(path = tempfile())

text_map(path = tempfile())



a fastmap::fastmap() list


directory path where map data should be stored


There are five types of map implemented. They all inherit class AbstractMap. There are several differences in use case scenarios and they backend implementations.


A session map takes a fastmap object. All objects are stored in current R session. This means you cannot access the map from other process nor parent process. The goal of this map is to share the data across different environments and to store global variables, as long as they share the same map object. If you are looking for maps that can be shared by different processes, check the rest map types. The closest map type is rds_map.


An 'RDS' map uses file system to store values. The values are stored separately in '.rds' files. Compared to session maps, 'RDS' map can be shared across different R process. It's recommended to store large files in rds_map. If the value is not large in RAM, text_map is recommended.


A 'text' map uses file system to store values. Similar to rds_map, it can be stored across multiple processes as long as the maps share the same file directory. However, unlike rds_map, text_map the text_map can only store basic data values, namely atom data types. The supported types are: numeric, character, vector, list, matrix It's highly recommended to convert factors to characters. Do NOT use if the values are functions or environments. The recommended use case scenario is when the speed is not the major concern, and you want to preserve data with backward compatibility. Otherwise it's highly recommended to use rds_map.


An R6 instance that inherits AbstractMap


# ----------------------Basic Usage ----------------------

# Define a path to your map.
path = tempfile()
map <- rds_map(path)

# Reset

# Check if the map is corrupted.

# You have not set any key-value pairs yet.
# Let's say two parallel processes (A and B) are sharing this map.
# Process A set values

# Start push
# set a normal message
map$set(key = 'a', value = 1)

# set a large object
map$set(key = 'b', value = rnorm(100000))

# set an object with hash of another object
map$set(key = 'c', value = 2, signature = list(
  parameter1 = 123,
  parameter2 = 124

# Check what's in the map from process B
mapB <- rds_map(path)
mapB$keys(include_signatures = TRUE)

# Number of key-values pairs in the map.

# Check if key exists
mapB$has(c('1','a', 'c'))

# Check if key exists and signature also matches
mapB$has('c', signature = list(
  parameter1 = 123,
  parameter2 = 124

# Signature changed, then return FALSE. This is especially useful when
# value is really large and reading the value takes tons of time
mapB$has('c', signature = list(
  parameter1 = 1244444,
  parameter2 = 124

# Destroy the map's files altogether.

## Not run: 
  # Once destroyed, validate will raise error

## End(Not run)

[Package dipsaus version 0.2.5 Index]