Nothing
#' Edit individual rows in the underlying database table
#'
#' @description
#' These are methods for the dplyr [rows_insert()], [`rows_append()`],
#' [`rows_update()`], [`rows_patch()`], [`rows_upsert()`], and [`rows_delete()`]
#' generics.
#'
#' When `in_place = TRUE` these verbs do not generate `SELECT` queries, but
#' instead directly modify the underlying data using `INSERT`, `UPDATE`, or
#' `DELETE` operators. This will require that you have write access to
#' the database: the connection needs permission to insert, modify or delete
#' rows, but not to alter the structure of the table.
#'
#' The default, `in_place = FALSE`, generates equivalent lazy tables (using
#' `SELECT` queries) that allow previewing the result without actually
#' modifying the underlying table on the database.
#'
#' @export
#' @param x A lazy table.
#' For `in_place = TRUE`, this must be a table instantiated with [tbl()] or
#' [compute()], not to a lazy query. The [remote_name()] function is used to
#' determine the name of the table to be updated.
#' @param y A lazy table, data frame, or data frame extensions (e.g. a tibble).
#' @inheritParams dplyr::rows_insert
#' @param conflict For `rows_insert()`, how should keys in `y` that conflict
#' with keys in `x` be handled? A conflict arises if there is a key in `y`
#' that already exists in `x`.
#'
#' One of:
#' - `"error"`, the default, is not supported for database tables. To get the
#' same behaviour add a unique index on the `by` columns and use
#' `rows_append()`.
#' - `"ignore"` will ignore rows in `y` with keys that conflict with keys in
#' `x`.
#' @param unmatched For `rows_update()`, `rows_patch()`, and `rows_delete()`,
#' how should keys in `y` that are unmatched by the keys in `x` be handled?
#'
#' One of:
#' - `"error"`, the default, is not supported for database tables. Add a
#' foreign key constraint on the `by` columns of `y` to let the database
#' check this behaviour for you.
#' - `"ignore"` will ignore rows in `y` with keys that are unmatched by the
#' keys in `x`.
#' @param in_place Should `x` be modified in place? If `FALSE` will
#' generate a `SELECT` query that returns the modified table; if `TRUE`
#' will modify the underlying table using a DML operation (`INSERT`, `UPDATE`,
#' `DELETE` or similar).
#' @param returning Columns to return. See [get_returned_rows()] for details.
#' @param method A string specifying the method to use. This is only relevant for
#' `in_place = TRUE`.
#'
#' @importFrom dplyr rows_insert
#' @returns A new `tbl_lazy` of the modified data.
#' With `in_place = FALSE`, the result is a lazy query that prints visibly,
#' because the purpose of this operation is to preview the results.
#' With `in_place = TRUE`, `x` is returned invisibly,
#' because the purpose of this operation is the side effect of modifying rows
#' in the table behind `x`.
#' @rdname rows-db
#' @examples
#' library(dplyr)
#'
#' con <- DBI::dbConnect(RSQLite::SQLite(), ":memory:")
#' DBI::dbExecute(con, "CREATE TABLE Ponies (
#' id INTEGER PRIMARY KEY AUTOINCREMENT,
#' name TEXT,
#' cutie_mark TEXT
#' )")
#'
#' ponies <- tbl(con, "Ponies")
#'
#' applejack <- copy_inline(con, data.frame(
#' name = "Apple Jack",
#' cutie_mark = "three apples"
#' ))
#'
#' # The default behavior is to generate a SELECT query
#' rows_insert(ponies, applejack, conflict = "ignore")
#' # And the original table is left unchanged:
#' ponies
#'
#' # You can also choose to modify the table with in_place = TRUE:
#' rows_insert(ponies, applejack, conflict = "ignore", in_place = TRUE)
#' # In this case `rows_insert()` returns nothing and the underlying
#' # data is modified
#' ponies
rows_insert.tbl_lazy <- function(x,
y,
by = NULL,
...,
conflict = c("error", "ignore"),
copy = FALSE,
in_place = FALSE,
returning = NULL,
method = NULL) {
check_dots_empty()
rows_check_in_place(x, in_place)
table <- target_table(x, in_place)
conflict <- rows_check_conflict(conflict)
rows_check_containment(x, y)
y <- rows_auto_copy(x, y, copy = copy)
by <- rows_check_by(by, y)
rows_check_key(x, by, "x")
rows_check_key(y, by, "y", unique = TRUE)
new_columns <- setdiff(colnames(y), by)
returning_cols <- rows_check_returning(x, returning, enexpr(returning))
if (!is_null(table)) {
sql <- sql_query_insert(
con = remote_con(x),
table = table,
from = sql_render(y, remote_con(x), lvl = 1),
insert_cols = colnames(y),
by = by,
...,
conflict = conflict,
returning_cols = returning_cols,
method = method
)
rows_get_or_execute(x, sql, returning_cols)
} else {
out <- union_all(x, anti_join(y, x, by = by))
if (!is_empty(returning_cols)) {
# Need to `union_all()` with `x` so that all columns of `x` exist in the result
returned_rows <- anti_join(y, x, by = by) %>%
union_all(x %>% filter(0 == 1)) %>%
select(!!!returning_cols) %>%
collect()
out <- set_returned_rows(out, returned_rows)
}
out
}
}
#' @inheritParams dplyr::rows_append
#'
#' @export
#' @importFrom dplyr rows_append
#' @rdname rows-db
rows_append.tbl_lazy <- function(x,
y,
...,
copy = FALSE,
in_place = FALSE,
returning = NULL) {
check_dots_empty()
rows_check_in_place(x, in_place)
table <- target_table(x, in_place)
rows_check_containment(x, y)
y <- rows_auto_copy(x, y, copy = copy)
returning_cols <- rows_check_returning(x, returning, enexpr(returning))
if (!is_null(table)) {
sql <- sql_query_append(
con = remote_con(x),
table = table,
from = sql_render(y, remote_con(x), lvl = 1),
insert_cols = colnames(y),
...,
returning_cols = returning_cols
)
rows_get_or_execute(x, sql, returning_cols)
} else {
out <- union_all(x, y)
if (!is_empty(returning_cols)) {
# Need to `union_all()` with `x` so that all columns of `x` exist in the result
returned_rows <- union_all(y, x %>% filter(0 == 1)) %>%
select(!!!returning_cols) %>%
collect()
out <- set_returned_rows(out, returned_rows)
}
out
}
}
#' @inheritParams dplyr::rows_update
#'
#' @export
#' @importFrom dplyr rows_update
#' @rdname rows-db
rows_update.tbl_lazy <- function(x,
y,
by = NULL,
...,
unmatched = c("error", "ignore"),
copy = FALSE,
in_place = FALSE,
returning = NULL) {
check_dots_empty()
rows_check_in_place(x, in_place)
table <- target_table(x, in_place)
rows_check_containment(x, y)
y <- rows_auto_copy(x, y, copy = copy)
by <- rows_check_by(by, y)
rows_check_key(x, by, "x")
rows_check_key(y, by, "y", unique = TRUE)
unmatched <- rows_check_ummatched(unmatched)
new_columns <- setdiff(colnames(y), by)
returning_cols <- rows_check_returning(x, returning, enexpr(returning))
if (!is_null(table)) {
# TODO handle `returning_cols` here
if (is_empty(new_columns)) {
return(invisible(x))
}
con <- remote_con(x)
update_cols <- setdiff(colnames(y), by)
update_values <- set_names(
sql_table_prefix(con, update_cols, "...y"),
update_cols
)
sql <- sql_query_update_from(
con = con,
table = table,
from = sql_render(y, remote_con(y), lvl = 1),
by = by,
update_values = update_values,
...,
returning_cols = returning_cols
)
rows_get_or_execute(x, sql, returning_cols)
} else {
existing_columns <- setdiff(colnames(x), new_columns)
updated <- x %>%
select(!!!existing_columns) %>%
inner_join(y, by = by)
if (is_empty(new_columns)) {
out <- x
} else {
unchanged <- anti_join(x, y, by = by)
out <- union_all(unchanged, updated)
}
if (!is_empty(returning_cols)) {
returned_rows <- updated %>%
select(!!!returning_cols) %>%
collect()
out <- set_returned_rows(out, returned_rows)
}
out
}
}
#' @inheritParams dplyr::rows_patch
#'
#' @export
#' @importFrom dplyr rows_patch
#' @rdname rows-db
rows_patch.tbl_lazy <- function(x,
y,
by = NULL,
...,
unmatched = c("error", "ignore"),
copy = FALSE,
in_place = FALSE,
returning = NULL) {
check_dots_empty()
rows_check_in_place(x, in_place)
table <- target_table(x, in_place)
rows_check_containment(x, y)
y <- rows_auto_copy(x, y, copy = copy)
by <- rows_check_by(by, y)
rows_check_key(x, by, "x")
rows_check_key(y, by, "y", unique = TRUE)
unmatched <- rows_check_ummatched(unmatched)
new_columns <- setdiff(colnames(y), by)
returning_cols <- rows_check_returning(x, returning, enexpr(returning))
if (!is_null(table)) {
# TODO handle `returning_cols` here
if (is_empty(new_columns)) {
return(invisible(x))
}
con <- remote_con(x)
update_cols <- setdiff(colnames(y), by)
update_values <- sql_coalesce(
sql_table_prefix(con, update_cols, table),
sql_table_prefix(con, update_cols, "...y")
)
update_values <- set_names(update_values, update_cols)
sql <- sql_query_update_from(
con = con,
table = table,
from = sql_render(y, remote_con(y), lvl = 1),
by = by,
update_values = update_values,
...,
returning_cols = returning_cols
)
rows_get_or_execute(x, sql, returning_cols)
} else {
to_patch <- inner_join(
x, y,
by = by,
suffix = c("", "...y")
)
patch_columns_y <- paste0(new_columns, "...y")
patch_quos <-
lapply(
seq_along(new_columns),
function(.x) quo(coalesce(!!sym(new_columns[.x]), !!sym(patch_columns_y[.x])))
) %>%
rlang::set_names(new_columns)
if (is_empty(new_columns)) {
patched <- to_patch
out <- x
} else {
patched <- to_patch %>%
mutate(!!!patch_quos) %>%
select(-all_of(patch_columns_y))
unchanged <- anti_join(x, y, by = by)
out <- union_all(unchanged, patched)
}
if (!is_empty(returning_cols)) {
returned_rows <- patched %>%
select(!!!returning_cols) %>%
collect()
out <- set_returned_rows(out, returned_rows)
}
out
}
}
#' @export
#' @inheritParams dplyr::rows_upsert
#'
#' @importFrom dplyr rows_upsert
#' @rdname rows-db
rows_upsert.tbl_lazy <- function(x,
y,
by = NULL,
...,
copy = FALSE,
in_place = FALSE,
returning = NULL,
method = NULL) {
check_dots_empty()
rows_check_in_place(x, in_place)
table <- target_table(x, in_place)
rows_check_containment(x, y)
y <- rows_auto_copy(x, y, copy = copy)
by <- rows_check_by(by, y)
rows_check_key(x, by, "x")
rows_check_key(y, by, "y", unique = TRUE)
returning_cols <- rows_check_returning(x, returning, enexpr(returning))
new_columns <- setdiff(colnames(y), by)
if (!is_null(table)) {
# TODO use `rows_insert()` here
if (is_empty(new_columns)) {
return(invisible(x))
}
sql <- sql_query_upsert(
con = remote_con(x),
table = table,
from = sql_render(y, remote_con(x), lvl = 1),
by = by,
update_cols = setdiff(colnames(y), by),
...,
returning_cols = returning_cols,
method = method
)
rows_get_or_execute(x, sql, returning_cols)
} else {
inserted <- anti_join(y, x, by = by)
if (is_empty(new_columns)) {
unchanged <- x
upserted <- inserted
} else {
unchanged <- anti_join(x, y, by = by)
existing_columns <- setdiff(colnames(x), new_columns)
updated <- x %>%
select(!!!existing_columns) %>%
inner_join(y, by = by)
upserted <- union_all(updated, inserted)
}
out <- union_all(unchanged, upserted)
if (!is_empty(returning_cols)) {
returned_rows <- upserted %>%
select(!!!returning_cols) %>%
collect()
out <- set_returned_rows(out, returned_rows)
}
out
}
}
#' @export
#' @inheritParams dplyr::rows_delete
#'
#' @importFrom dplyr rows_delete
#' @rdname rows-db
rows_delete.tbl_lazy <- function(x,
y,
by = NULL,
...,
unmatched = c("error", "ignore"),
copy = FALSE,
in_place = FALSE,
returning = NULL) {
check_dots_empty()
rows_check_in_place(x, in_place)
table <- target_table(x, in_place)
rows_check_containment(x, y)
y <- rows_auto_copy(x, y, copy = copy)
by <- rows_check_by(by, y)
rows_check_key(x, by, "x")
rows_check_key(y, by, "y")
unmatched <- rows_check_ummatched(unmatched)
returning_cols <- rows_check_returning(x, returning, enexpr(returning))
extra <- setdiff(colnames(y), by)
if (!is_empty(extra)) {
message <- glue("Ignoring extra `y` columns: ", commas(tick(extra)))
inform(message, class = c("dplyr_message_delete_extra_cols", "dplyr_message"))
}
if (!is_null(table)) {
sql <- sql_query_delete(
con = remote_con(x),
table = table,
from = sql_render(y, remote_con(x), lvl = 2),
by = by,
...,
returning_cols = returning_cols
)
rows_get_or_execute(x, sql, returning_cols)
} else {
out <- anti_join(x, y, by = by)
if (!is_empty(returning_cols)) {
returned_rows <- semi_join(x, y, by = by) %>%
select(!!!returning_cols) %>%
collect()
out <- set_returned_rows(out, returned_rows)
}
out
}
}
set_returned_rows <- function(x, returned_rows) {
attr(x, "returned_rows") <- as_tibble(returned_rows)
x
}
#' Extract and check the `RETURNING` rows
#'
#' @description
#' `r lifecycle::badge("experimental")`
#'
#' `get_returned_rows()` extracts the `RETURNING` rows produced by
#' [rows_insert()], [rows_append()], [rows_update()], [rows_upsert()],
#' or [rows_delete()] if these are called with the `returning` argument.
#' An error is raised if this information is not available.
#'
#' @param x A lazy tbl.
#'
#' @return For `get_returned_rows()`, a tibble.
#'
#' @export
#' @examples
#' library(dplyr)
#'
#' con <- DBI::dbConnect(RSQLite::SQLite(), ":memory:")
#' DBI::dbExecute(con, "CREATE TABLE Info (
#' id INTEGER PRIMARY KEY AUTOINCREMENT,
#' number INTEGER
#' )")
#' info <- tbl(con, "Info")
#'
#' rows1 <- copy_inline(con, data.frame(number = c(1, 5)))
#' rows_insert(info, rows1, conflict = "ignore", in_place = TRUE)
#' info
#'
#' # If the table has an auto incrementing primary key, you can use
#' # the returning argument + `get_returned_rows()` its value
#' rows2 <- copy_inline(con, data.frame(number = c(13, 27)))
#' info <- rows_insert(
#' info,
#' rows2,
#' conflict = "ignore",
#' in_place = TRUE,
#' returning = id
#' )
#' info
#' get_returned_rows(info)
get_returned_rows <- function(x) {
out <- attr(x, "returned_rows", TRUE)
if (is.null(out)) {
cli_abort("No returned rows available.")
}
out
}
#' has_returned_rows()
#'
#' `has_returned_rows()` checks if `x` has stored RETURNING rows produced by
#' [rows_insert()], [rows_append()], [rows_update()], [rows_upsert()],
#' or [rows_delete()].
#'
#' @param x A lazy tbl.
#'
#' @return For `has_returned_rows()`, a scalar logical.
#'
#' @rdname get_returned_rows
#' @export
has_returned_rows <- function(x) {
!identical(attr(x, "returned_rows"), NULL)
}
sql_coalesce <- function(x, y) {
sql(paste0("COALESCE(", x, ", ", y, ")"))
}
# check helpers -----------------------------------------------------------
rows_check_by <- function(by, y, ..., error_call = caller_env()) {
check_dots_empty()
if (is.null(by)) {
if (ncol(y) == 0L) {
cli_abort("{.arg y} must have at least one column.", call = error_call)
}
by <- colnames(y)[[1]]
inform(
message = glue("Matching, by = \"{by}\""),
class = c("dplyr_message_matching_by", "dplyr_message")
)
}
if (!is.character(by)) {
cli_abort("{.arg by} must be a character vector.", call = error_call)
}
if (is_empty(by)) {
cli_abort("{.arg by} must specify at least 1 column.", call = error_call)
}
if (!all(names2(by) == "")) {
cli_abort("{.arg by} must be unnamed.", call = error_call)
}
by
}
rows_check_containment <- function(x, y, ..., error_call = caller_env()) {
check_dots_empty()
bad <- setdiff(colnames(y), colnames(x))
if (!is_empty(bad)) {
bad <- err_vars(bad)
message <- c(
"All columns in {.arg y} must exist in {.arg x}.",
i = "The following columns only exist in {.arg y}: {.field {bad}}."
)
cli_abort(message, call = error_call)
}
invisible()
}
rows_check_key <- function(x,
by,
arg,
...,
unique = FALSE,
error_call = caller_env()) {
check_dots_empty()
missing <- setdiff(by, colnames(x))
if (!is_empty(missing)) {
missing <- err_vars(missing)
message <- c(
"All columns specified through {.arg by} must exist in {.arg x} and {.arg y}.",
i = "The following columns are missing from {.arg {arg}}: {.field {missing}}."
)
cli_abort(message, call = error_call)
}
}
rows_check_in_place <- function(df, in_place, call = caller_env()) {
check_bool(in_place, call = call)
if (!in_place) return()
if (inherits(df, "tbl_TestConnection")) {
cli_abort("{.code in_place = TRUE} does not work for simulated connections.", call = call)
}
}
rows_check_conflict <- function(conflict, error_call = caller_env()) {
conflict <- arg_match(
arg = conflict,
values = c("error", "ignore"),
error_arg = "conflict",
error_call = error_call
)
check_unsupported_arg(conflict, "ignore", call = error_call)
conflict
}
rows_check_ummatched <- function(unmatched, error_call = caller_env()) {
unmatched <- arg_match(
arg = unmatched,
values = c("error", "ignore"),
error_arg = "ummatched",
error_call = error_call
)
check_unsupported_arg(unmatched, "ignore", call = error_call)
unmatched
}
rows_check_returning <- function(df, returning, returning_expr, error_call = caller_env()) {
locs <- tidyselect::eval_select(returning_expr, df, error_call = error_call)
returning_cols <- set_names(colnames(df)[locs], names(locs))
if (is_empty(returning_cols)) return(returning_cols)
if (inherits(df, "tbl_TestConnection")) {
cli_abort("{.arg returning} does not work for simulated connections.", call = error_call)
}
returning_cols
}
err_vars <- function(x) {
if (is.logical(x)) {
x <- which(x)
}
if (is.character(x)) {
x <- encodeString(x, quote = "`")
}
glue::glue_collapse(x, sep = ", ", last = if (length(x) <= 2) " and " else ", and ")
}
commas <- function(...) paste0(..., collapse = ", ")
tick <- function(x) {
ifelse(is.na(x), "NA", encodeString(x, quote = "`"))
}
# other helpers -----------------------------------------------------------
target_table <- function(x, in_place) {
# Never touch target table with `in_place = FALSE`
if (!is_true(in_place)) {
return(NULL)
}
table <- remote_table(x)
if (is_null(table)) {
cli_abort("Can't determine name for target table. Set {.code in_place = FALSE} to return a lazy table.")
}
table
}
rows_prep <- function(con, table, from, by, lvl = 0) {
y_name <- "...y"
join_by <- list(x = by, y = by, x_as = y_name, y_as = table, condition = "=")
where <- sql_join_tbls(con, by = join_by, na_matches = "never")
list(
from = sql_query_wrap(con, from, y_name, lvl = lvl),
where = where
)
}
rows_insert_prep <- function(con, table, from, cols, by, lvl = 0) {
out <- rows_prep(con, table, from, by, lvl = lvl)
join_by <- list(x = by, y = by, x_as = table, y_as = "...y", condition = "=")
where <- sql_join_tbls(con, by = join_by, na_matches = "never")
out$conflict_clauses <- sql_clause_where_exists(table, where, not = TRUE)
insert_cols <- escape(ident(cols), collapse = ", ", parens = TRUE, con = con)
out$insert_clause <- sql_clause_insert(con, insert_cols, table)
out
}
rows_auto_copy <- function(x, y, copy, call = caller_env()) {
if (same_src(x, y)) {
return(y)
}
table <- remote_table(x)
x_types <- db_col_types(remote_con(x), table, call)
if (!is_null(x_types)) {
rows_check_containment(x, y, error_call = call)
x_types <- x_types[colnames(y)]
}
auto_copy(x, y, copy = copy, types = x_types)
}
rows_get_or_execute <- function(x, sql, returning_cols, call = caller_env()) {
error <- "Can't modify database table {.val {remote_name(x)}}."
con <- remote_con(x)
if (is_empty(returning_cols)) {
db_execute(con, sql, error, call = call)
} else {
returned_rows <- db_get_query(con, sql, error, call = call)
x <- set_returned_rows(x, returned_rows)
}
invisible(x)
}
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