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101 lines
4.5 KiB
101 lines
4.5 KiB
4 years ago
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#' @rdname Athena
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#' @keywords internal
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#' @export
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sql_translate_env.AthenaConnection <- function(con) {
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x <- con
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dbplyr::sql_variant(
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scalar = dbplyr::sql_translator(
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.parent = dbplyr::base_scalar,
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`!=` = dbplyr::sql_infix("<>"),
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as.integer64 = function(x) dbplyr::build_sql("CAST(", x, "AS BIGINT)"),
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as.numeric = function(x) dbplyr::build_sql("CAST(", x, " AS DOUBLE)"),
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as.character = function(x) dbplyr::build_sql("CAST(", x, " AS CHARACTER)"),
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as.date = function(x) dbplyr::build_sql("CAST(", x, " AS DATE)"),
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as.Date = function(x) dbplyr::build_sql("CAST(", x, " AS DATE)"),
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as.POSIXct = function(x) dbplyr::build_sql("CAST(", x, " AS TIMESTAMP)"),
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as.posixct = function(x) dbplyr::build_sql("CAST(", x, " AS TIMESTAMP)"),
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as.logical = function(x) dbplyr::build_sql("CAST(", x, " AS BOOLEAN)"),
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date_part = function(x, y) dbplyr::build_sql("DATE_PART(", x, ",", y ,")"),
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grepl = function(x, y) dbplyr::build_sql("CONTAINS(", y, ", ", x, ")"),
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gsub = function(x, y, z) dbplyr::build_sql("REGEXP_REPLACE(", z, ", ", x, ",", y ,")"),
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trimws = function(x) dbplyr::build_sql("TRIM(both ' ' FROM ", x, ")"),
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cbrt = dbplyr::sql_prefix("CBRT", 1),
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degrees = dbplyr::sql_prefix("DEGREES", 1),
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e = dbplyr::sql_prefix("E", 0),
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row_number = dbplyr::sql_prefix("row_number", 0),
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lshift = dbplyr::sql_prefix("LSHIFT", 2),
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mod = dbplyr::sql_prefix("MOD", 2),
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age = dbplyr::sql_prefix("AGE", 1),
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negative = dbplyr::sql_prefix("NEGATIVE", 1),
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pi = dbplyr::sql_prefix("PI", 0),
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pow = dbplyr::sql_prefix("POW", 2),
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radians = dbplyr::sql_prefix("RADIANS", 1),
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rand = dbplyr::sql_prefix("RAND", 0),
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rshift = dbplyr::sql_prefix("RSHIFT", 2),
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trunc = dbplyr::sql_prefix("TRUNC", 2),
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contains = dbplyr::sql_prefix("CONTAINS", 2),
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convert_to = dbplyr::sql_prefix("CONVERT_TO", 2),
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convert_from = dbplyr::sql_prefix("CONVERT_FROM", 2),
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string_binary = dbplyr::sql_prefix("STRING_BINARY", 1),
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binary_string = dbplyr::sql_prefix("BINARY_STRING", 1),
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to_char = dbplyr::sql_prefix("TO_CHAR", 2),
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to_date = dbplyr::sql_prefix("TO_DATE", 2),
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to_number = dbplyr::sql_prefix("TO_NUMBER", 2),
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char_to_timestamp = dbplyr::sql_prefix("TO_TIMESTAMP", 2),
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double_to_timestamp = dbplyr::sql_prefix("TO_TIMESTAMP", 1),
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char_length = dbplyr::sql_prefix("CHAR_LENGTH", 1),
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flatten = dbplyr::sql_prefix("FLATTEN", 1),
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kvgen = dbplyr::sql_prefix("KVGEN", 1),
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repeated_count = dbplyr::sql_prefix("REPEATED_COUNT", 1),
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repeated_contains = dbplyr::sql_prefix("REPEATED_CONTAINS", 2),
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ilike = dbplyr::sql_prefix("ILIKE", 2),
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init_cap = dbplyr::sql_prefix("INIT_CAP", 1),
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length = dbplyr::sql_prefix("LENGTH", 1),
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lower = dbplyr::sql_prefix("LOWER", 1),
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tolower = dbplyr::sql_prefix("LOWER", 1),
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ltrim = dbplyr::sql_prefix("LTRIM", 2),
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nullif = dbplyr::sql_prefix("NULLIF", 2),
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position = function(x, y) dbplyr::build_sql("POSITION(", x, " IN ", y, ")"),
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regexp_replace = dbplyr::sql_prefix("REGEXP_REPLACE", 3),
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rtrim = dbplyr::sql_prefix("RTRIM", 2),
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rpad = dbplyr::sql_prefix("RPAD", 2),
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rpad_with = dbplyr::sql_prefix("RPAD", 3),
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lpad = dbplyr::sql_prefix("LPAD", 2),
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lpad_with = dbplyr::sql_prefix("LPAD", 3),
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strpos = dbplyr::sql_prefix("STRPOS", 2),
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substr = dbplyr::sql_prefix("SUBSTR", 3),
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trim = function(x, y, z) dbplyr::build_sql("TRIM(", x, " ", y, " FROM ", z, ")"),
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upper = dbplyr::sql_prefix("UPPER", 1),
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toupper = dbplyr::sql_prefix("UPPER", 1)
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),
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aggregate = dbplyr::sql_translator(
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.parent = dbplyr::base_agg,
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n = function() dbplyr::sql("COUNT(*)"),
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cor = dbplyr::sql_prefix("CORR"),
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cov = dbplyr::sql_prefix("COVAR_SAMP"),
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sd = dbplyr::sql_prefix("STDDEV_SAMP"),
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var = dbplyr::sql_prefix("VAR_SAMP"),
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n_distinct = function(x) {
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dbplyr::build_sql(dbplyr::sql("COUNT(DISTINCT "), x, dbplyr::sql(")"))
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}
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),
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window = dbplyr::sql_translator(
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.parent = dbplyr::base_win,
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n = function() { dbplyr::win_over(dbplyr::sql("count(*)"),
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partition = dbplyr::win_current_group()) },
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cor = dbplyr::win_recycled("corr"),
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cov = dbplyr::win_recycled("covar_samp"),
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sd = dbplyr::win_recycled("stddev_samp"),
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var = dbplyr::win_recycled("var_samp"),
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all = dbplyr::win_recycled("bool_and"),
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any = dbplyr::win_recycled("bool_or")
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)
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)
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}
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