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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2021/01/11 15:27:22 UTC
[GitHub] [arrow] jonkeane commented on a change in pull request #9118: ARROW-10623: [CI][R] Version 1.0.1 breaks data.frame attributes when reading file written by 2.0.0
jonkeane commented on a change in pull request #9118:
URL: https://github.com/apache/arrow/pull/9118#discussion_r555125913
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File path: r/tests/testthat/test-backwards-compatibility.R
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@@ -0,0 +1,171 @@
+# 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.
+
+# To write a new version of a test file for a current version:
+# write_parquet(example_with_metadata, test_path("golden-files/data-arrow_2.0.0.parquet"))
+
+# To write a new version of a test file for an old version, use docker(-compose)
+# to setup a linux distribution and use RStudio's public package manager binary
+# repo to install the old version. The following commands should be run at the
+# root of the arrow repo directory and might need slight adjusments.
+# R_ORG=rstudio R_IMAGE=r-base R_TAG=4.0-focal docker-compose build --no-cache r
+# R_ORG=rstudio R_IMAGE=r-base R_TAG=4.0-focal docker-compose run r /bin/bash
+# R
+# options(repos = "https://packagemanager.rstudio.com/all/__linux__/focal/latest")
+# remotes::install_version("arrow", version = "1.0.1")
+# # get example data into the global env
+# write_parquet(example_with_metadata, "arrow/r/tests/testthat/golden-files/data-arrow_1.0.1.parquet")
+# quit()/exit
+
+test_that("reading a known Parquet file to dataframe with 2.0.0", {
+ skip_if_not_available("snappy")
+ pq_file <- test_path("golden-files/data-arrow_2.0.0.parquet")
+
+ df <- read_parquet(pq_file)
+ expect_equal(df, example_with_metadata)
+ expect_identical(dim(df), c(1L, 4L))
+
+ expect_equal(
+ attributes(df),
+ list(
+ names = letters[1:4],
+ row.names = 1L,
+ top_level = list(field_one = 12, field_two = "more stuff"),
+ class = c("tbl_df", "tbl", "data.frame"))
+ )
+ expect_equal(attributes(df$a), list(class = "special_string"))
+ expect_null(attributes(df$b))
+ expect_equal(
+ attributes(df$c),
+ list(
+ row.names = 1L,
+ names = c("c1", "c2", "c3"),
+ class = c("tbl_df", "tbl", "data.frame")
+ )
+ )
+ expect_null(attributes(df$d))
+})
+
+test_that("reading a known Parquet file to dataframe with 1.0.1", {
+ skip_if_not_available("snappy")
+ pq_file <- test_path("golden-files/data-arrow_1.0.1.parquet")
+
+ df <- read_parquet(pq_file)
+ # 1.0.1 didn't save top-level metadata, so we need to remove it.
+ example_with_metadata_sans_toplevel <- example_with_metadata
+ attributes(example_with_metadata_sans_toplevel)$top_level <- NULL
+ expect_equal(df, example_with_metadata_sans_toplevel)
+ expect_identical(dim(df), c(1L, 4L))
+
+ expect_equal(
+ attributes(df),
+ list(
+ names = letters[1:4],
+ row.names = 1L,
+ class = c("tbl_df", "tbl", "data.frame"))
+ )
+ expect_equal(attributes(df$a), list(class = "special_string"))
+ expect_null(attributes(df$b))
+ expect_equal(
+ attributes(df$c),
+ list(
+ row.names = 1L,
+ names = c("c1", "c2", "c3"),
+ class = c("tbl_df", "tbl", "data.frame")
+ )
+ )
+ expect_null(attributes(df$d))
+})
+
+for (comp in c("lz4", "uncompressed", "zstd")) {
+ # write_feather(example_with_metadata, test_path("golden-files/data-arrow_2.0.0_lz4.feather"), compression = "lz4")
+ # write_feather(example_with_metadata, test_path("golden-files/data-arrow_2.0.0_uncompressed.feather"), compression = "uncompressed")
+ # write_feather(example_with_metadata, test_path("golden-files/data-arrow_2.0.0_zstd.feather"), compression = "zstd")
+ test_that("reading a known Feather file to dataframe with 2.0.0", {
+ skip_if_not_available(comp)
+ feather_file <- test_path(paste0("golden-files/data-arrow_2.0.0_", comp,".feather"))
+
+ df <- read_feather(feather_file)
+ expect_equal(df, example_with_metadata)
+ expect_identical(dim(df), c(1L, 4L))
+
+ expect_equal(
+ attributes(df),
+ list(
+ names = letters[1:4],
+ row.names = 1L,
+ top_level = list(field_one = 12, field_two = "more stuff"),
+ class = c("tbl_df", "tbl", "data.frame"))
+ )
+ expect_equal(attributes(df$a), list(class = "special_string"))
+ expect_null(attributes(df$b))
+ expect_equal(
+ attributes(df$c),
+ list(
+ row.names = 1L,
+ names = c("c1", "c2", "c3"),
+ class = c("tbl_df", "tbl", "data.frame")
+ )
+ )
+ expect_null(attributes(df$d))
+ })
+
+ test_that("reading a known Feather file to dataframe with 1.0.1", {
+ skip_if_not_available(comp)
+ feather_file <- test_path(paste0("golden-files/data-arrow_1.0.1_", comp,".feather"))
+
+ df <- read_feather(feather_file)
+ # 1.0.1 didn't save top-level metadata, so we need to remove it.
+ example_with_metadata_sans_toplevel <- example_with_metadata
+ attributes(example_with_metadata_sans_toplevel)$top_level <- NULL
+ expect_equal(df, example_with_metadata_sans_toplevel)
+ expect_identical(dim(df), c(1L, 4L))
+
+ expect_equal(
+ attributes(df),
+ list(
+ names = letters[1:4],
+ row.names = 1L,
+ class = c("tbl_df", "tbl", "data.frame"))
+ )
+ expect_equal(attributes(df$a), list(class = "special_string"))
+ expect_null(attributes(df$b))
+ expect_equal(
+ attributes(df$c),
+ list(
+ row.names = 1L,
+ names = c("c1", "c2", "c3"),
+ class = c("tbl_df", "tbl", "data.frame")
+ )
+ )
+ expect_null(attributes(df$d))
+ })
+
+ test_that("reading a known Feather file to dataframe with 0.17.0", {
+ skip_if_not_available(comp)
+ feather_file <- test_path(paste0("golden-files/data-arrow_0.17.0_", comp,".feather"))
+
+ if (comp %in% c("lz4", "zstd")) {
+ # there is a case mis-match with versions 0.17.0 and before for the codec names
+ expect_error(df <- read_feather(feather_file), "Unrecognized compression type:")
Review comment:
Great, I'll change these to skips and than add the Jira to the message then.
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