Access and Query Amazon Athena via DBI/JDBC
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4 years ago
#' @rdname Athena
#' @keywords internal
#' @export
4 years ago
db_data_type.AthenaConnection <- function(con, fields, ...) {
print("\n\n\ndb_data_type\n\n\n")
data_type <- function(x) {
switch(
class(x)[1],
integer64 = "BIGINT",
logical = "BOOLEAN",
integer = "INTEGER",
numeric = "DOUBLE",
factor = "CHARACTER",
character = "CHARACTER",
Date = "DATE",
POSIXct = "TIMESTAMP",
stop("Can't map type ", paste(class(x), collapse = "/"),
" to a supported database type.")
)
}
vapply(fields, data_type, character(1))
}
#' @rdname Athena
#' @keywords internal
#' @export
4 years ago
sql_translate_env.AthenaConnection <- function(con) {
x <- con
dbplyr::sql_variant(
scalar = dbplyr::sql_translator(
.parent = dbplyr::base_scalar,
`!=` = dbplyr::sql_infix("<>"),
as.integer64 = function(x) dbplyr::build_sql("CAST(", x, "AS BIGINT)"),
as.numeric = function(x) dbplyr::build_sql("CAST(", x, " AS DOUBLE)"),
as.character = function(x) dbplyr::build_sql("CAST(", x, " AS CHARACTER)"),
as.date = function(x) dbplyr::build_sql("CAST(", x, " AS DATE)"),
as.Date = function(x) dbplyr::build_sql("CAST(", x, " AS DATE)"),
as.POSIXct = function(x) dbplyr::build_sql("CAST(", x, " AS TIMESTAMP)"),
as.posixct = function(x) dbplyr::build_sql("CAST(", x, " AS TIMESTAMP)"),
as.logical = function(x) dbplyr::build_sql("CAST(", x, " AS BOOLEAN)"),
date_part = function(x, y) dbplyr::build_sql("DATE_PART(", x, ",", y ,")"),
grepl = function(x, y) dbplyr::build_sql("CONTAINS(", y, ", ", x, ")"),
gsub = function(x, y, z) dbplyr::build_sql("REGEXP_REPLACE(", z, ", ", x, ",", y ,")"),
trimws = function(x) dbplyr::build_sql("TRIM(both ' ' FROM ", x, ")"),
cbrt = dbplyr::sql_prefix("CBRT", 1),
degrees = dbplyr::sql_prefix("DEGREES", 1),
e = dbplyr::sql_prefix("E", 0),
row_number = dbplyr::sql_prefix("row_number", 0),
lshift = dbplyr::sql_prefix("LSHIFT", 2),
mod = dbplyr::sql_prefix("MOD", 2),
age = dbplyr::sql_prefix("AGE", 1),
negative = dbplyr::sql_prefix("NEGATIVE", 1),
pi = dbplyr::sql_prefix("PI", 0),
pow = dbplyr::sql_prefix("POW", 2),
radians = dbplyr::sql_prefix("RADIANS", 1),
rand = dbplyr::sql_prefix("RAND", 0),
rshift = dbplyr::sql_prefix("RSHIFT", 2),
trunc = dbplyr::sql_prefix("TRUNC", 2),
contains = dbplyr::sql_prefix("CONTAINS", 2),
convert_to = dbplyr::sql_prefix("CONVERT_TO", 2),
convert_from = dbplyr::sql_prefix("CONVERT_FROM", 2),
string_binary = dbplyr::sql_prefix("STRING_BINARY", 1),
binary_string = dbplyr::sql_prefix("BINARY_STRING", 1),
to_char = dbplyr::sql_prefix("TO_CHAR", 2),
to_date = dbplyr::sql_prefix("TO_DATE", 2),
to_number = dbplyr::sql_prefix("TO_NUMBER", 2),
char_to_timestamp = dbplyr::sql_prefix("TO_TIMESTAMP", 2),
double_to_timestamp = dbplyr::sql_prefix("TO_TIMESTAMP", 1),
char_length = dbplyr::sql_prefix("CHAR_LENGTH", 1),
flatten = dbplyr::sql_prefix("FLATTEN", 1),
kvgen = dbplyr::sql_prefix("KVGEN", 1),
repeated_count = dbplyr::sql_prefix("REPEATED_COUNT", 1),
repeated_contains = dbplyr::sql_prefix("REPEATED_CONTAINS", 2),
ilike = dbplyr::sql_prefix("ILIKE", 2),
init_cap = dbplyr::sql_prefix("INIT_CAP", 1),
length = dbplyr::sql_prefix("LENGTH", 1),
lower = dbplyr::sql_prefix("LOWER", 1),
tolower = dbplyr::sql_prefix("LOWER", 1),
ltrim = dbplyr::sql_prefix("LTRIM", 2),
nullif = dbplyr::sql_prefix("NULLIF", 2),
position = function(x, y) dbplyr::build_sql("POSITION(", x, " IN ", y, ")"),
regexp_replace = dbplyr::sql_prefix("REGEXP_REPLACE", 3),
rtrim = dbplyr::sql_prefix("RTRIM", 2),
rpad = dbplyr::sql_prefix("RPAD", 2),
rpad_with = dbplyr::sql_prefix("RPAD", 3),
lpad = dbplyr::sql_prefix("LPAD", 2),
lpad_with = dbplyr::sql_prefix("LPAD", 3),
strpos = dbplyr::sql_prefix("STRPOS", 2),
substr = dbplyr::sql_prefix("SUBSTR", 3),
trim = function(x, y, z) dbplyr::build_sql("TRIM(", x, " ", y, " FROM ", z, ")"),
upper = dbplyr::sql_prefix("UPPER", 1),
toupper = dbplyr::sql_prefix("UPPER", 1)
),
aggregate = dbplyr::sql_translator(
.parent = dbplyr::base_agg,
n = function() dbplyr::sql("COUNT(*)"),
cor = dbplyr::sql_prefix("CORR"),
cov = dbplyr::sql_prefix("COVAR_SAMP"),
sd = dbplyr::sql_prefix("STDDEV_SAMP"),
var = dbplyr::sql_prefix("VAR_SAMP"),
n_distinct = function(x) {
dbplyr::build_sql(dbplyr::sql("COUNT(DISTINCT "), x, dbplyr::sql(")"))
}
),
window = dbplyr::sql_translator(
.parent = dbplyr::base_win,
n = function() { dbplyr::win_over(dbplyr::sql("count(*)"),
partition = dbplyr::win_current_group()) },
cor = dbplyr::win_recycled("corr"),
cov = dbplyr::win_recycled("covar_samp"),
sd = dbplyr::win_recycled("stddev_samp"),
var = dbplyr::win_recycled("var_samp"),
all = dbplyr::win_recycled("bool_and"),
any = dbplyr::win_recycled("bool_or")
)
)
}