Translate an expression to sql.

Translate an expression to sql.

translate_sql(..., con = NULL, vars = character(), vars_group = NULL,
  vars_order = NULL, vars_frame = NULL, window = TRUE)

translate_sql_(dots, con = NULL, vars_group = NULL, vars_order = NULL, vars_frame = NULL, window = TRUE, context = list())

..., dots

Expressions to translate. translate_sql() automatically quotes them for you. translate_sql_() expects a list of already quoted objects.


An optional database connection to control the details of the translation. The default, NULL, generates ANSI SQL.


Deprecated. Now call partial_eval() directly.

vars_group, vars_order, vars_frame

Parameters used in the OVER expression of windowed functions.


Use FALSE to suppress generation of the OVER statement used for window functions. This is necessary when generating SQL for a grouped summary.


Use to carry information for special translation cases. For example, MS SQL needs a different conversion for in WHERE vs. SELECT clauses. Expects a list.

Base translation

The base translator, base_sql, provides custom mappings for ! (to NOT), && and & to AND, || and | to OR, ^ to POWER, %>% to %, ceiling to CEIL, mean to AVG, var to VARIANCE, tolower to LOWER, toupper to UPPER and nchar to LENGTH.

c() and : keep their usual R behaviour so you can easily create vectors that are passed to sql.

All other functions will be preserved as is. R's infix functions (e.g. %like%) will be converted to their SQL equivalents (e.g. LIKE). You can use this to access SQL string concatenation: || is mapped to OR, but %||% is mapped to ||. To suppress this behaviour, and force errors immediately when dplyr doesn't know how to translate a function it encounters, using set the dplyr.strict_sql option to TRUE.

You can also use sql() to insert a raw sql string.

SQLite translation

The SQLite variant currently only adds one additional function: a mapping from sd() to the SQL aggregation function STDEV.

  • translate_sql
  • translate_sql_
# Regular maths is translated in a very straightforward way
translate_sql(x + 1)
translate_sql(sin(x) + tan(y))

# Note that all variable names are escaped
translate_sql(like == "x")
# In ANSI SQL: "" quotes variable _names_, '' quotes strings

# Logical operators are converted to their sql equivalents
translate_sql(x < 5 & !(y >= 5))
# xor() doesn't have a direct SQL equivalent
translate_sql(xor(x, y))

# If is translated into case when
translate_sql(if (x > 5) "big" else "small")

# Infix functions are passed onto SQL with % removed
translate_sql(first %like% "Had%")
translate_sql(first %is% NULL)
translate_sql(first %in% c("John", "Roger", "Robert"))

# And be careful if you really want integers
translate_sql(x == 1)
translate_sql(x == 1L)

# If you have an already quoted object, use translate_sql_:
x <- quote(y + 1 / sin(t))

# Windowed translation --------------------------------------------
# Known window functions automatically get OVER()
translate_sql(mpg > mean(mpg))

# Suppress this with window = FALSE
translate_sql(mpg > mean(mpg), window = FALSE)

# vars_group controls partition:
translate_sql(mpg > mean(mpg), vars_group = "cyl")

# and vars_order controls ordering for those functions that need it
translate_sql(cumsum(mpg), vars_order = "mpg")
# }
Documentation reproduced from package dbplyr, version 1.2.1, License: MIT + file LICENSE

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