jonkeane commented on a change in pull request #9118: URL: https://github.com/apache/arrow/pull/9118#discussion_r554263558
########## File path: r/tests/testthat/test-backwards-compatibility.R ########## @@ -0,0 +1,159 @@ +# 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", { Review comment: It looks like 1.0.1 works fine, but earlier versions (e.g. 0.17.0) saves files with the wrong case and does fail, but 1.0.1 (and 1.0.0) doesn't seem to have this issue. I need to dig more to inspect the files saved by 1.0.1 / through the source to find if there was a `tolower()` or the like that was introduced after 0.17 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
