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# 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.
skip_if_not_installed("duckdb", minimum_version = "0.2.8")
skip_if_not_installed("dbplyr")
skip_if_not_available("dataset")
skip_on_cran()
library(duckdb, quietly = TRUE)
library(dplyr, warn.conflicts = FALSE)
test_that("to_duckdb", {
ds <- InMemoryDataset$create(example_data)
expect_identical(
ds %>%
to_duckdb() %>%
collect() %>%
# factors don't roundtrip https://github.com/duckdb/duckdb/issues/1879
select(!fct),
select(example_data, !fct)
)
expect_identical(
ds %>%
select(int, lgl, dbl) %>%
to_duckdb() %>%
group_by(lgl) %>%
summarise(mean_int = mean(int, na.rm = TRUE), mean_dbl = mean(dbl, na.rm = TRUE)) %>%
collect(),
tibble::tibble(
lgl = c(TRUE, NA, FALSE),
mean_int = c(3, 6.25, 8.5),
mean_dbl = c(3.1, 6.35, 6.1)
)
)
# can group_by before the to_duckdb
expect_identical(
ds %>%
select(int, lgl, dbl) %>%
group_by(lgl) %>%
to_duckdb() %>%
summarise(mean_int = mean(int, na.rm = TRUE), mean_dbl = mean(dbl, na.rm = TRUE)) %>%
collect(),
tibble::tibble(
lgl = c(TRUE, NA, FALSE),
mean_int = c(3, 6.25, 8.5),
mean_dbl = c(3.1, 6.35, 6.1)
)
)
})
test_that("to_duckdb then to_arrow", {
ds <- InMemoryDataset$create(example_data)
ds_rt <- ds %>%
to_duckdb() %>%
# factors don't roundtrip https://github.com/duckdb/duckdb/issues/1879
select(-fct) %>%
to_arrow()
expect_identical(
collect(ds_rt),
ds %>%
select(-fct) %>%
collect()
)
# And we can continue the pipeline
ds_rt <- ds %>%
to_duckdb() %>%
# factors don't roundtrip https://github.com/duckdb/duckdb/issues/1879
select(-fct) %>%
to_arrow() %>%
filter(int > 5)
expect_identical(
collect(ds_rt),
ds %>%
select(-fct) %>%
filter(int > 5) %>%
collect()
)
# Now check errors
ds_rt <- ds %>%
to_duckdb() %>%
# factors don't roundtrip https://github.com/duckdb/duckdb/issues/1879
select(-fct)
# alter the class of ds_rt's connection to simulate some other database
class(ds_rt$src$con) <- "some_other_connection"
expect_error(
to_arrow(ds_rt),
"to_arrow\\(\\) currently only supports Arrow tables, Arrow datasets,"
)
})
# The next set of tests use an already-extant connection to test features of
# persistence and querying against the table without using the `tbl` itself, so
# we need to create a connection separate from the ephemeral one that is made
# with arrow_duck_connection()
con <- dbConnect(duckdb::duckdb())
dbExecute(con, "PRAGMA threads=2")
on.exit(dbDisconnect(con, shutdown = TRUE), add = TRUE)
# write one table to the connection so it is kept open
DBI::dbWriteTable(con, "mtcars", mtcars)
test_that("Joining, auto-cleanup enabled", {
ds <- InMemoryDataset$create(example_data)
table_one_name <- "my_arrow_table_1"
table_one <- to_duckdb(ds, con = con, table_name = table_one_name, auto_disconnect = TRUE)
table_two_name <- "my_arrow_table_2"
table_two <- to_duckdb(ds, con = con, table_name = table_two_name, auto_disconnect = TRUE)
res <- dbGetQuery(
con,
paste0(
"SELECT * FROM ", table_one_name,
" INNER JOIN ", table_two_name,
" ON ", table_one_name, ".int = ", table_two_name, ".int"
)
)
expect_identical(dim(res), c(9L, 14L))
# clean up cleans up the tables
expect_true(all(c(table_one_name, table_two_name) %in% DBI::dbListTables(con)))
rm(table_one, table_two)
gc()
expect_false(any(c(table_one_name, table_two_name) %in% DBI::dbListTables(con)))
})
test_that("Joining, auto-cleanup disabled", {
ds <- InMemoryDataset$create(example_data)
table_three_name <- "my_arrow_table_3"
table_three <- to_duckdb(ds, con = con, table_name = table_three_name)
# clean up does *not* clean these tables
expect_true(table_three_name %in% DBI::dbListTables(con))
rm(table_three)
gc()
# but because we aren't auto_disconnecting then we still have this table.
expect_true(table_three_name %in% DBI::dbListTables(con))
})
test_that("to_duckdb with a table", {
tab <- Table$create(example_data)
expect_identical(
tab %>%
to_duckdb() %>%
group_by(int > 4) %>%
summarise(
int_mean = mean(int, na.rm = TRUE),
dbl_mean = mean(dbl, na.rm = TRUE)
) %>%
collect(),
tibble::tibble(
"int > 4" = c(FALSE, NA, TRUE),
int_mean = c(2, NA, 7.5),
dbl_mean = c(2.1, 4.1, 7.3)
)
)
})
test_that("to_duckdb passing a connection", {
ds <- InMemoryDataset$create(example_data)
con_separate <- dbConnect(duckdb::duckdb())
# we always want to test in parallel
dbExecute(con_separate, "PRAGMA threads=2")
on.exit(dbDisconnect(con_separate, shutdown = TRUE), add = TRUE)
# create a table to join to that we know is in our con_separate
new_df <- data.frame(
int = 1:10,
char = letters[26:17],
stringsAsFactors = FALSE
)
DBI::dbWriteTable(con_separate, "separate_join_table", new_df)
table_four <- ds %>%
select(int, lgl, dbl) %>%
to_duckdb(con = con_separate, auto_disconnect = FALSE)
table_four_name <- table_four$ops$x
result <- DBI::dbGetQuery(
con_separate,
paste0(
"SELECT * FROM ", table_four_name,
" INNER JOIN separate_join_table ",
"ON separate_join_table.int = ", table_four_name, ".int"
)
)
expect_identical(dim(result), c(9L, 5L))
expect_identical(result$char, new_df[new_df$int != 4, ]$char)
})
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