tests/testthat/test-read-write.R

In arrow: Integration to 'Apache' 'Arrow'

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.


test_that("table round trip", {
  tbl <- tibble::tibble(
    int = 1:10,
    dbl = as.numeric(1:10),
    raw = as.raw(1:10)
  )

  tab <- Table$create(!!!tbl)
  expect_equal(tab$num_columns, 3L)
  expect_equal(tab$num_rows, 10L)

  # ChunkedArray
  chunked_array_int <- tab$column(0)
  expect_equal(chunked_array_int$length(), 10L)
  expect_equal(chunked_array_int$null_count, 0L)
  expect_equal(chunked_array_int$as_vector(), tbl$int)

  # Array
  chunks_int <- chunked_array_int$chunks
  expect_equal(length(chunks_int), chunked_array_int$num_chunks)
  for (i in seq_along(chunks_int)) {
    expect_equal(chunked_array_int$chunk(i - 1L), chunks_int[[i]])
  }

  # ChunkedArray
  chunked_array_dbl <- tab$column(1)
  expect_equal(chunked_array_dbl$length(), 10L)
  expect_equal(chunked_array_dbl$null_count, 0L)
  expect_equal(chunked_array_dbl$as_vector(), tbl$dbl)

  # Array
  chunks_dbl <- chunked_array_dbl$chunks
  expect_equal(length(chunks_dbl), chunked_array_dbl$num_chunks)
  for (i in seq_along(chunks_dbl)) {
    expect_equal(chunked_array_dbl$chunk(i - 1L), chunks_dbl[[i]])
  }

  # ChunkedArray
  chunked_array_raw <- tab$column(2)
  expect_equal(chunked_array_raw$length(), 10L)
  expect_equal(chunked_array_raw$null_count, 0L)
  expect_equal(chunked_array_raw$as_vector(), as.integer(tbl$raw))

  # Array
  chunks_raw <- chunked_array_raw$chunks
  expect_equal(length(chunks_raw), chunked_array_raw$num_chunks)
  for (i in seq_along(chunks_raw)) {
    expect_equal(chunked_array_raw$chunk(i - 1L), chunks_raw[[i]])
  }
  tf <- tempfile()
  write_feather(tbl, tf)

  res <- read_feather(tf)
  expect_identical(tbl$int, res$int)
  expect_identical(tbl$dbl, res$dbl)
  expect_identical(as.integer(tbl$raw), res$raw)
  unlink(tf)
})

test_that("table round trip handles NA in integer and numeric", {
  tbl <- tibble::tibble(
    int = c(NA, 2:10),
    dbl = as.numeric(c(1:5, NA, 7:9, NA)),
    raw = as.raw(1:10)
  )

  tab <- Table$create(!!!tbl)
  expect_equal(tab$num_columns, 3L)
  expect_equal(tab$num_rows, 10L)

  expect_equal(tab$column(0)$length(), 10L)
  expect_equal(tab$column(1)$length(), 10L)
  expect_equal(tab$column(2)$length(), 10L)

  expect_equal(tab$column(0)$null_count, 1L)
  expect_equal(tab$column(1)$null_count, 2L)
  expect_equal(tab$column(2)$null_count, 0L)

  expect_equal(tab$column(0)$type, int32())
  expect_equal(tab$column(1)$type, float64())
  expect_equal(tab$column(2)$type, uint8())

  tf <- tempfile()
  write_feather(tbl, tf)

  res <- read_feather(tf)
  expect_identical(tbl$int, res$int)
  expect_identical(tbl$dbl, res$dbl)
  expect_identical(as.integer(tbl$raw), res$raw)

  expect_true(is.na(res$int[1]))
  expect_true(is.na(res$dbl[6]))
  expect_true(is.na(res$dbl[10]))
  unlink(tf)
})

test_that("reading/writing a raw vector (sparklyr integration)", {
  # These are effectively what sparklyr calls to get data to/from Spark
  read_from_raw_test <- function(x) {
    as.data.frame(RecordBatchStreamReader$create(x)$read_next_batch())
  }
  bytes <- write_to_raw(example_data)
  expect_type(bytes, "raw")
  expect_equal_data_frame(read_from_raw_test(bytes), example_data)
  # this could just be `read_ipc_stream(x)`; propose that
  expect_equal_data_frame(read_ipc_stream(bytes), example_data)
})