test_that("DataBackendRbind", { data = as.data.table(iris) data$Petal.Length[91:120] = NA data$id = 1:150 b1 = as_data_backend(data[1:100, ], primary_key = "id") b2 = as_data_backend(data[101:150, ], primary_key = "id") b = DataBackendRbind$new(b1, b2) expect_backend(b) expect_iris_backend(b, n_missing = 30L) expect_set_equal(b$rownames, 1:150) expect_set_equal(b$colnames, names(data)) expect_data_table(b$data(b$rownames, b$colnames), nrows = 150, ncols = 6) expect_set_equal(b$distinct(b$rownames, "Species")$Species, distinct_values(iris$Species, drop = FALSE)) x = b$missings(b$rownames, c("Petal.Width", "Petal.Length")) expect_equal(x, set_names(c(0L, 30L), c("Petal.Width", "Petal.Length"))) # all col-hashes are mutually disjoint expect_true(length(intersect(b1$col_hashes, b2$col_hashes)) == 0) expect_true(length(intersect(b$col_hashes, b1$col_hashes)) == 0) expect_true(length(intersect(b$col_hashes, b2$col_hashes)) == 0) }) test_that("Backends with different cols", { data = as.data.table(iris) data$id = 1:150 fn = c("Sepal.Width", "Species", "id") b1 = as_data_backend(data[1:100, c("Sepal.Length", "Sepal.Width", "Species", "id"), with = FALSE], primary_key = "id") b2 = as_data_backend(data[101:150, fn, with = FALSE], primary_key = "id") b = DataBackendRbind$new(b1, b2) expect_equal(b$ncol, 4) h = b$head(60) expect_data_table(h, ncols = 4, nrows = 60) h = b$head(120) expect_data_table(h, ncols = 4, nrows = 120) expect_data_table(b$data(rows = 1:120, cols = b$colnames), nrows = 120, ncols = 4) }) test_that("Backends with same rows", { data = as.data.table(iris) data$id = 1:150 data1 = data[1:20] data2 = data[6:10][, Petal.Length := NA] data2 = rbind(data2, data[101]) b1 = as_data_backend(data1, primary_key = "id") b2 = as_data_backend(data2, primary_key = "id") b = DataBackendRbind$new(b1, b2) expect_backend(b) expect_set_equal(b$rownames, c(1:20, 101)) data = b$data(b$rownames[1:20], b$colnames) expect_false(anyMissing(data$Petal.Length[1:5])) expect_false(anyMissing(data$Petal.Length[11:20])) expect_true(allMissing(data$Petal.Length[6:10])) })