dbcli/sqlglot
1
0
Fork 0
Code Issues Activity

Adding upstream version 9.0.3.

Browse source 
Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-13 14:49:58 +01:00
parent fca0265317
commit 40002be1ba
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
22 changed files with 742 additions and 223 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
README.md
View file

@ -316,7 +316,7 @@ Dialect["custom"]
## Run Tests and Lint
```
pip install -r requirements.txt
pip install -r dev-requirements.txt
# set `SKIP_INTEGRATION=1` to skip integration tests
./run_checks.sh
```

2
sqlglot/__init__.py
View file

@ -24,7 +24,7 @@ from sqlglot.parser import Parser
from sqlglot.schema import MappingSchema
from sqlglot.tokens import Tokenizer, TokenType
__version__ = "9.0.1"
__version__ = "9.0.3"
pretty = False

10
sqlglot/dataframe/sql/column.py
View file

@ -5,7 +5,7 @@ import typing as t
import sqlglot
from sqlglot import expressions as exp
from sqlglot.dataframe.sql.types import DataType
from sqlglot.helper import flatten
from sqlglot.helper import flatten, is_iterable
if t.TYPE_CHECKING:
from sqlglot.dataframe.sql._typing import ColumnOrLiteral
@ -134,10 +134,14 @@ class Column:
cls, column: t.Optional[ColumnOrLiteral], callable_expression: t.Callable, **kwargs
) -> Column:
ensured_column = None if column is None else cls.ensure_col(column)
ensure_expression_values = {
k: [Column.ensure_col(x).expression for x in v] if is_iterable(v) else Column.ensure_col(v).expression
for k, v in kwargs.items()
}
new_expression = (
callable_expression(**kwargs)
callable_expression(**ensure_expression_values)
if ensured_column is None
else callable_expression(this=ensured_column.column_expression, **kwargs)
else callable_expression(this=ensured_column.column_expression, **ensure_expression_values)
)
return Column(new_expression)

250
sqlglot/dataframe/sql/functions.py
View file

@ -1,7 +1,6 @@
from __future__ import annotations
import typing as t
from inspect import signature
from sqlglot import expressions as glotexp
from sqlglot.dataframe.sql.column import Column
@ -24,17 +23,15 @@ def lit(value: t.Optional[t.Any] = None) -> Column:
def greatest(*cols: ColumnOrName) -> Column:
columns = [Column.ensure_col(col) for col in cols]
return Column.invoke_expression_over_column(
columns[0], glotexp.Greatest, expressions=[col.expression for col in columns[1:]] if len(columns) > 1 else None
)
if len(cols) > 1:
return Column.invoke_expression_over_column(cols[0], glotexp.Greatest, expressions=cols[1:])
return Column.invoke_expression_over_column(cols[0], glotexp.Greatest)
def least(*cols: ColumnOrName) -> Column:
columns = [Column.ensure_col(col) for col in cols]
return Column.invoke_expression_over_column(
columns[0], glotexp.Least, expressions=[col.expression for col in columns[1:]] if len(columns) > 1 else None
)
if len(cols) > 1:
return Column.invoke_expression_over_column(cols[0], glotexp.Least, expressions=cols[1:])
return Column.invoke_expression_over_column(cols[0], glotexp.Least)
def count_distinct(col: ColumnOrName, *cols: ColumnOrName) -> Column:
@ -194,7 +191,7 @@ def log2(col: ColumnOrName) -> Column:
def log(arg1: t.Union[ColumnOrName, float], arg2: t.Optional[ColumnOrName] = None) -> Column:
if arg2 is None:
return Column.invoke_expression_over_column(arg1, glotexp.Ln)
return Column.invoke_expression_over_column(arg1, glotexp.Log, expression=Column.ensure_col(arg2).expression)
return Column.invoke_expression_over_column(arg1, glotexp.Log, expression=arg2)
def rint(col: ColumnOrName) -> Column:
@ -310,7 +307,7 @@ def hypot(col1: t.Union[ColumnOrName, float], col2: t.Union[ColumnOrName, float]
def pow(col1: t.Union[ColumnOrName, float], col2: t.Union[ColumnOrName, float]) -> Column:
return Column.invoke_anonymous_function(col1, "POW", col2)
return Column.invoke_expression_over_column(col1, glotexp.Pow, power=col2)
def row_number() -> Column:
@ -340,14 +337,13 @@ def approxCountDistinct(col: ColumnOrName, rsd: t.Optional[float] = None) -> Col
def approx_count_distinct(col: ColumnOrName, rsd: t.Optional[float] = None) -> Column:
if rsd is None:
return Column.invoke_expression_over_column(col, glotexp.ApproxDistinct)
return Column.invoke_expression_over_column(col, glotexp.ApproxDistinct, accuracy=Column.ensure_col(rsd).expression)
return Column.invoke_expression_over_column(col, glotexp.ApproxDistinct, accuracy=rsd)
def coalesce(*cols: ColumnOrName) -> Column:
columns = [Column.ensure_col(col) for col in cols]
return Column.invoke_expression_over_column(
columns[0], glotexp.Coalesce, expressions=[col.expression for col in columns[1:]] if len(columns) > 1 else None
)
if len(cols) > 1:
return Column.invoke_expression_over_column(cols[0], glotexp.Coalesce, expressions=cols[1:])
return Column.invoke_expression_over_column(cols[0], glotexp.Coalesce)
def corr(col1: ColumnOrName, col2: ColumnOrName) -> Column:
@ -405,11 +401,13 @@ def nanvl(col1: ColumnOrName, col2: ColumnOrName) -> Column:
def percentile_approx(
col: ColumnOrName,
percentage: t.Union[ColumnOrLiteral, t.List[float], t.Tuple[float]],
accuracy: t.Optional[t.Union[ColumnOrLiteral]] = None,
accuracy: t.Optional[t.Union[ColumnOrLiteral, int]] = None,
) -> Column:
if accuracy:
return Column.invoke_anonymous_function(col, "PERCENTILE_APPROX", percentage, accuracy)
return Column.invoke_anonymous_function(col, "PERCENTILE_APPROX", percentage)
return Column.invoke_expression_over_column(
col, glotexp.ApproxQuantile, quantile=lit(percentage), accuracy=accuracy
)
return Column.invoke_expression_over_column(col, glotexp.ApproxQuantile, quantile=lit(percentage))
def rand(seed: t.Optional[ColumnOrLiteral] = None) -> Column:
@ -422,7 +420,7 @@ def randn(seed: t.Optional[ColumnOrLiteral] = None) -> Column:
def round(col: ColumnOrName, scale: t.Optional[int] = None) -> Column:
if scale is not None:
return Column.invoke_expression_over_column(col, glotexp.Round, decimals=glotexp.convert(scale))
return Column.invoke_expression_over_column(col, glotexp.Round, decimals=scale)
return Column.invoke_expression_over_column(col, glotexp.Round)
@ -433,9 +431,7 @@ def bround(col: ColumnOrName, scale: t.Optional[int] = None) -> Column:
def shiftleft(col: ColumnOrName, numBits: int) -> Column:
return Column.invoke_expression_over_column(
col, glotexp.BitwiseLeftShift, expression=Column.ensure_col(numBits).expression
)
return Column.invoke_expression_over_column(col, glotexp.BitwiseLeftShift, expression=numBits)
def shiftLeft(col: ColumnOrName, numBits: int) -> Column:
@ -443,9 +439,7 @@ def shiftLeft(col: ColumnOrName, numBits: int) -> Column:
def shiftright(col: ColumnOrName, numBits: int) -> Column:
return Column.invoke_expression_over_column(
col, glotexp.BitwiseRightShift, expression=Column.ensure_col(numBits).expression
)
return Column.invoke_expression_over_column(col, glotexp.BitwiseRightShift, expression=numBits)
def shiftRight(col: ColumnOrName, numBits: int) -> Column:
@ -466,8 +460,7 @@ def expr(str: str) -> Column:
def struct(col: t.Union[ColumnOrName, t.Iterable[ColumnOrName]], *cols: ColumnOrName) -> Column:
columns = ensure_list(col) + list(cols)
expressions = [Column.ensure_col(column).expression for column in columns]
return Column(glotexp.Struct(expressions=expressions))
return Column.invoke_expression_over_column(None, glotexp.Struct, expressions=columns)
def conv(col: ColumnOrName, fromBase: int, toBase: int) -> Column:
@ -515,7 +508,7 @@ def current_timestamp() -> Column:
def date_format(col: ColumnOrName, format: str) -> Column:
return Column.invoke_anonymous_function(col, "DATE_FORMAT", lit(format))
return Column.invoke_expression_over_column(col, glotexp.TimeToStr, format=lit(format))
def year(col: ColumnOrName) -> Column:
@ -563,15 +556,15 @@ def make_date(year: ColumnOrName, month: ColumnOrName, day: ColumnOrName) -> Col
def date_add(col: ColumnOrName, days: t.Union[ColumnOrName, int]) -> Column:
return Column.invoke_expression_over_column(col, glotexp.DateAdd, expression=Column.ensure_col(days).expression)
return Column.invoke_expression_over_column(col, glotexp.DateAdd, expression=days)
def date_sub(col: ColumnOrName, days: t.Union[ColumnOrName, int]) -> Column:
return Column.invoke_expression_over_column(col, glotexp.DateSub, expression=Column.ensure_col(days).expression)
return Column.invoke_expression_over_column(col, glotexp.DateSub, expression=days)
def date_diff(end: ColumnOrName, start: ColumnOrName) -> Column:
return Column.invoke_expression_over_column(end, glotexp.DateDiff, expression=Column.ensure_col(start).expression)
return Column.invoke_expression_over_column(end, glotexp.DateDiff, expression=start)
def add_months(start: ColumnOrName, months: t.Union[ColumnOrName, int]) -> Column:
@ -586,8 +579,8 @@ def months_between(date1: ColumnOrName, date2: ColumnOrName, roundOff: t.Optiona
def to_date(col: ColumnOrName, format: t.Optional[str] = None) -> Column:
if format is not None:
return Column.invoke_anonymous_function(col, "TO_DATE", lit(format))
return Column.invoke_anonymous_function(col, "TO_DATE")
return Column.invoke_expression_over_column(col, glotexp.TsOrDsToDate, format=lit(format))
return Column.invoke_expression_over_column(col, glotexp.TsOrDsToDate)
def to_timestamp(col: ColumnOrName, format: t.Optional[str] = None) -> Column:
@ -597,11 +590,11 @@ def to_timestamp(col: ColumnOrName, format: t.Optional[str] = None) -> Column:
def trunc(col: ColumnOrName, format: str) -> Column:
return Column.invoke_expression_over_column(col, glotexp.DateTrunc, unit=lit(format).expression)
return Column.invoke_expression_over_column(col, glotexp.DateTrunc, unit=lit(format))
def date_trunc(format: str, timestamp: ColumnOrName) -> Column:
return Column.invoke_expression_over_column(timestamp, glotexp.TimestampTrunc, unit=lit(format).expression)
return Column.invoke_expression_over_column(timestamp, glotexp.TimestampTrunc, unit=lit(format))
def next_day(col: ColumnOrName, dayOfWeek: str) -> Column:
@ -614,14 +607,14 @@ def last_day(col: ColumnOrName) -> Column:
def from_unixtime(col: ColumnOrName, format: t.Optional[str] = None) -> Column:
if format is not None:
return Column.invoke_anonymous_function(col, "FROM_UNIXTIME", lit(format))
return Column.invoke_anonymous_function(col, "FROM_UNIXTIME")
return Column.invoke_expression_over_column(col, glotexp.UnixToStr, format=lit(format))
return Column.invoke_expression_over_column(col, glotexp.UnixToStr)
def unix_timestamp(timestamp: t.Optional[ColumnOrName] = None, format: t.Optional[str] = None) -> Column:
if format is not None:
return Column.invoke_anonymous_function(timestamp, "UNIX_TIMESTAMP", lit(format))
return Column.invoke_anonymous_function(timestamp, "UNIX_TIMESTAMP")
return Column.invoke_expression_over_column(timestamp, glotexp.StrToUnix, format=lit(format))
return Column.invoke_expression_over_column(timestamp, glotexp.StrToUnix)
def from_utc_timestamp(timestamp: ColumnOrName, tz: ColumnOrName) -> Column:
@ -738,10 +731,7 @@ def trim(col: ColumnOrName) -> Column:
def concat_ws(sep: str, *cols: ColumnOrName) -> Column:
columns = [Column(col) for col in cols]
return Column.invoke_expression_over_column(
None, glotexp.ConcatWs, expressions=[x.expression for x in [lit(sep)] + list(columns)]
)
return Column.invoke_expression_over_column(None, glotexp.ConcatWs, expressions=[lit(sep)] + list(cols))
def decode(col: ColumnOrName, charset: str) -> Column:
@ -798,18 +788,14 @@ def substring_index(str: ColumnOrName, delim: str, count: int) -> Column:
def levenshtein(left: ColumnOrName, right: ColumnOrName) -> Column:
return Column.invoke_expression_over_column(
left, glotexp.Levenshtein, expression=Column.ensure_col(right).expression
)
return Column.invoke_expression_over_column(left, glotexp.Levenshtein, expression=right)
def locate(substr: str, str: ColumnOrName, pos: t.Optional[int] = None) -> Column:
substr_col = lit(substr)
pos_column = lit(pos)
str_column = Column.ensure_col(str)
if pos is not None:
return Column.invoke_anonymous_function(substr_col, "LOCATE", str_column, pos_column)
return Column.invoke_anonymous_function(substr_col, "LOCATE", str_column)
return Column.invoke_expression_over_column(str, glotexp.StrPosition, substr=substr_col, position=pos)
return Column.invoke_expression_over_column(str, glotexp.StrPosition, substr=substr_col)
def lpad(col: ColumnOrName, len: int, pad: str) -> Column:
@ -821,15 +807,15 @@ def rpad(col: ColumnOrName, len: int, pad: str) -> Column:
def repeat(col: ColumnOrName, n: int) -> Column:
return Column.invoke_anonymous_function(col, "REPEAT", n)
return Column.invoke_expression_over_column(col, glotexp.Repeat, times=lit(n))
def split(str: ColumnOrName, pattern: str, limit: t.Optional[int] = None) -> Column:
if limit is not None:
return Column.invoke_expression_over_column(
str, glotexp.RegexpSplit, expression=lit(pattern).expression, limit=lit(limit).expression
str, glotexp.RegexpSplit, expression=lit(pattern).expression, limit=limit
)
return Column.invoke_expression_over_column(str, glotexp.RegexpSplit, expression=lit(pattern).expression)
return Column.invoke_expression_over_column(str, glotexp.RegexpSplit, expression=lit(pattern))
def regexp_extract(str: ColumnOrName, pattern: str, idx: t.Optional[int] = None) -> Column:
@ -879,9 +865,8 @@ def translate(srcCol: ColumnOrName, matching: str, replace: str) -> Column:
def array(*cols: t.Union[ColumnOrName, t.Iterable[ColumnOrName]]) -> Column:
cols = _flatten(cols) if not isinstance(cols[0], (str, Column)) else cols # type: ignore
cols = [Column.ensure_col(col).expression for col in cols] # type: ignore
return Column.invoke_expression_over_column(None, glotexp.Array, expressions=cols)
columns = _flatten(cols) if not isinstance(cols[0], (str, Column)) else cols
return Column.invoke_expression_over_column(None, glotexp.Array, expressions=columns)
def create_map(*cols: t.Union[ColumnOrName, t.Iterable[ColumnOrName]]) -> Column:
@ -892,7 +877,7 @@ def create_map(*cols: t.Union[ColumnOrName, t.Iterable[ColumnOrName]]) -> Column
def map_from_arrays(col1: ColumnOrName, col2: ColumnOrName) -> Column:
return Column.invoke_anonymous_function(col1, "MAP_FROM_ARRAYS", col2)
return Column.invoke_expression_over_column(None, glotexp.Map, keys=col1, values=col2)
def array_contains(col: ColumnOrName, value: ColumnOrLiteral) -> Column:
@ -970,7 +955,7 @@ def posexplode_outer(col: ColumnOrName) -> Column:
def get_json_object(col: ColumnOrName, path: str) -> Column:
return Column.invoke_expression_over_column(col, glotexp.JSONExtract, path=lit(path).expression)
return Column.invoke_expression_over_column(col, glotexp.JSONExtract, path=lit(path))
def json_tuple(col: ColumnOrName, *fields: str) -> Column:
@ -1031,11 +1016,17 @@ def array_max(col: ColumnOrName) -> Column:
def sort_array(col: ColumnOrName, asc: t.Optional[bool] = None) -> Column:
if asc is not None:
return Column.invoke_anonymous_function(col, "SORT_ARRAY", lit(asc))
return Column.invoke_anonymous_function(col, "SORT_ARRAY")
return Column.invoke_expression_over_column(col, glotexp.SortArray, asc=asc)
return Column.invoke_expression_over_column(col, glotexp.SortArray)
def array_sort(col: ColumnOrName) -> Column:
def array_sort(
col: ColumnOrName,
comparator: t.Optional[t.Union[t.Callable[[Column, Column], Column]]] = None,
) -> Column:
if comparator is not None:
f_expression = _get_lambda_from_func(comparator)
return Column.invoke_expression_over_column(col, glotexp.ArraySort, expression=f_expression)
return Column.invoke_expression_over_column(col, glotexp.ArraySort)
@ -1108,130 +1099,53 @@ def aggregate(
initialValue: ColumnOrName,
merge: t.Callable[[Column, Column], Column],
finish: t.Optional[t.Callable[[Column], Column]] = None,
accumulator_name: str = "acc",
target_row_name: str = "x",
) -> Column:
merge_exp = glotexp.Lambda(
this=merge(Column(accumulator_name), Column(target_row_name)).expression,
expressions=[
glotexp.to_identifier(accumulator_name, quoted=_lambda_quoted(accumulator_name)),
glotexp.to_identifier(target_row_name, quoted=_lambda_quoted(target_row_name)),
],
)
merge_exp = _get_lambda_from_func(merge)
if finish is not None:
finish_exp = glotexp.Lambda(
this=finish(Column(accumulator_name)).expression,
expressions=[glotexp.to_identifier(accumulator_name, quoted=_lambda_quoted(accumulator_name))],
)
finish_exp = _get_lambda_from_func(finish)
return Column.invoke_anonymous_function(col, "AGGREGATE", initialValue, Column(merge_exp), Column(finish_exp))
return Column.invoke_anonymous_function(col, "AGGREGATE", initialValue, Column(merge_exp))
def transform(
col: ColumnOrName,
f: t.Union[t.Callable[[Column], Column], t.Callable[[Column, Column], Column]],
target_row_name: str = "x",
row_count_name: str = "i",
col: ColumnOrName, f: t.Union[t.Callable[[Column], Column], t.Callable[[Column, Column], Column]]
) -> Column:
num_arguments = len(signature(f).parameters)
expressions = [glotexp.to_identifier(target_row_name, quoted=_lambda_quoted(target_row_name))]
columns = [Column(target_row_name)]
if num_arguments > 1:
columns.append(Column(row_count_name))
expressions.append(glotexp.to_identifier(row_count_name, quoted=_lambda_quoted(row_count_name)))
f_expression = glotexp.Lambda(this=f(*columns).expression, expressions=expressions)
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col, "TRANSFORM", Column(f_expression))
def exists(col: ColumnOrName, f: t.Callable[[Column], Column], target_row_name: str = "x") -> Column:
f_expression = glotexp.Lambda(
this=f(Column(target_row_name)).expression,
expressions=[glotexp.to_identifier(target_row_name, quoted=_lambda_quoted(target_row_name))],
)
def exists(col: ColumnOrName, f: t.Callable[[Column], Column]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col, "EXISTS", Column(f_expression))
def forall(col: ColumnOrName, f: t.Callable[[Column], Column], target_row_name: str = "x") -> Column:
f_expression = glotexp.Lambda(
this=f(Column(target_row_name)).expression,
expressions=[glotexp.to_identifier(target_row_name, quoted=_lambda_quoted(target_row_name))],
)
def forall(col: ColumnOrName, f: t.Callable[[Column], Column]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col, "FORALL", Column(f_expression))
def filter(
col: ColumnOrName,
f: t.Union[t.Callable[[Column], Column], t.Callable[[Column, Column], Column]],
target_row_name: str = "x",
row_count_name: str = "i",
) -> Column:
num_arguments = len(signature(f).parameters)
expressions = [glotexp.to_identifier(target_row_name, quoted=_lambda_quoted(target_row_name))]
columns = [Column(target_row_name)]
if num_arguments > 1:
columns.append(Column(row_count_name))
expressions.append(glotexp.to_identifier(row_count_name, quoted=_lambda_quoted(row_count_name)))
f_expression = glotexp.Lambda(this=f(*columns).expression, expressions=expressions)
return Column.invoke_anonymous_function(col, "FILTER", Column(f_expression))
def filter(col: ColumnOrName, f: t.Union[t.Callable[[Column], Column], t.Callable[[Column, Column], Column]]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_expression_over_column(col, glotexp.ArrayFilter, expression=f_expression)
def zip_with(
left: ColumnOrName,
right: ColumnOrName,
f: t.Callable[[Column, Column], Column],
left_name: str = "x",
right_name: str = "y",
) -> Column:
f_expression = glotexp.Lambda(
this=f(Column(left_name), Column(right_name)).expression,
expressions=[
glotexp.to_identifier(left_name, quoted=_lambda_quoted(left_name)),
glotexp.to_identifier(right_name, quoted=_lambda_quoted(right_name)),
],
)
def zip_with(left: ColumnOrName, right: ColumnOrName, f: t.Callable[[Column, Column], Column]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(left, "ZIP_WITH", right, Column(f_expression))
def transform_keys(
col: ColumnOrName, f: t.Union[t.Callable[[Column, Column], Column]], key_name: str = "k", value_name: str = "v"
) -> Column:
f_expression = glotexp.Lambda(
this=f(Column(key_name), Column(value_name)).expression,
expressions=[
glotexp.to_identifier(key_name, quoted=_lambda_quoted(key_name)),
glotexp.to_identifier(value_name, quoted=_lambda_quoted(value_name)),
],
)
def transform_keys(col: ColumnOrName, f: t.Union[t.Callable[[Column, Column], Column]]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col, "TRANSFORM_KEYS", Column(f_expression))
def transform_values(
col: ColumnOrName, f: t.Union[t.Callable[[Column, Column], Column]], key_name: str = "k", value_name: str = "v"
) -> Column:
f_expression = glotexp.Lambda(
this=f(Column(key_name), Column(value_name)).expression,
expressions=[
glotexp.to_identifier(key_name, quoted=_lambda_quoted(key_name)),
glotexp.to_identifier(value_name, quoted=_lambda_quoted(value_name)),
],
)
def transform_values(col: ColumnOrName, f: t.Union[t.Callable[[Column, Column], Column]]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col, "TRANSFORM_VALUES", Column(f_expression))
def map_filter(
col: ColumnOrName, f: t.Union[t.Callable[[Column, Column], Column]], key_name: str = "k", value_name: str = "v"
) -> Column:
f_expression = glotexp.Lambda(
this=f(Column(key_name), Column(value_name)).expression,
expressions=[
glotexp.to_identifier(key_name, quoted=_lambda_quoted(key_name)),
glotexp.to_identifier(value_name, quoted=_lambda_quoted(value_name)),
],
)
def map_filter(col: ColumnOrName, f: t.Union[t.Callable[[Column, Column], Column]]) -> Column:
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col, "MAP_FILTER", Column(f_expression))
@ -1239,20 +1153,18 @@ def map_zip_with(
col1: ColumnOrName,
col2: ColumnOrName,
f: t.Union[t.Callable[[Column, Column, Column], Column]],
key_name: str = "k",
value1: str = "v1",
value2: str = "v2",
) -> Column:
f_expression = glotexp.Lambda(
this=f(Column(key_name), Column(value1), Column(value2)).expression,
expressions=[
glotexp.to_identifier(key_name, quoted=_lambda_quoted(key_name)),
glotexp.to_identifier(value1, quoted=_lambda_quoted(value1)),
glotexp.to_identifier(value2, quoted=_lambda_quoted(value2)),
],
)
f_expression = _get_lambda_from_func(f)
return Column.invoke_anonymous_function(col1, "MAP_ZIP_WITH", col2, Column(f_expression))
def _lambda_quoted(value: str) -> t.Optional[bool]:
return False if value == "_" else None
def _get_lambda_from_func(lambda_expression: t.Callable):
variables = [glotexp.to_identifier(x, quoted=_lambda_quoted(x)) for x in lambda_expression.__code__.co_varnames]
return glotexp.Lambda(
this=lambda_expression(*[Column(x) for x in variables]).expression,
expressions=variables,
)

40
sqlglot/dialects/hive.py
View file

@ -18,6 +18,36 @@ from sqlglot.helper import list_get
from sqlglot.parser import Parser, parse_var_map
from sqlglot.tokens import Tokenizer
# (FuncType, Multiplier)
DATE_DELTA_INTERVAL = {
"YEAR": ("ADD_MONTHS", 12),
"MONTH": ("ADD_MONTHS", 1),
"QUARTER": ("ADD_MONTHS", 3),
"WEEK": ("DATE_ADD", 7),
"DAY": ("DATE_ADD", 1),
}
DIFF_MONTH_SWITCH = ("YEAR", "QUARTER", "MONTH")
def _add_date_sql(self, expression):
unit = expression.text("unit").upper()
func, multiplier = DATE_DELTA_INTERVAL.get(unit, ("DATE_ADD", 1))
modified_increment = (
int(expression.text("expression")) * multiplier if expression.expression.is_number else expression.expression
)
modified_increment = exp.Literal.number(modified_increment)
return f"{func}({self.format_args(expression.this, modified_increment.this)})"
def _date_diff_sql(self, expression):
unit = expression.text("unit").upper()
sql_func = "MONTHS_BETWEEN" if unit in DIFF_MONTH_SWITCH else "DATEDIFF"
_, multiplier = DATE_DELTA_INTERVAL.get(unit, ("", 1))
multiplier_sql = f" / {multiplier}" if multiplier > 1 else ""
diff_sql = f"{sql_func}({self.format_args(expression.this, expression.expression)})"
return f"{diff_sql}{multiplier_sql}"
def _array_sort(self, expression):
if expression.expression:
@ -120,10 +150,14 @@ class Hive(Dialect):
"m": "%-M",
"ss": "%S",
"s": "%-S",
"S": "%f",
"SSSSSS": "%f",
"a": "%p",
"DD": "%j",
"D": "%-j",
"E": "%a",
"EE": "%a",
"EEE": "%a",
"EEEE": "%A",
}
date_format = "'yyyy-MM-dd'"
@ -207,8 +241,8 @@ class Hive(Dialect):
exp.ArraySize: rename_func("SIZE"),
exp.ArraySort: _array_sort,
exp.With: no_recursive_cte_sql,
exp.DateAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
exp.DateDiff: lambda self, e: f"DATEDIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
exp.DateAdd: _add_date_sql,
exp.DateDiff: _date_diff_sql,
exp.DateStrToDate: rename_func("TO_DATE"),
exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",

2
sqlglot/dialects/spark.py
View file

@ -71,6 +71,7 @@ class Spark(Hive):
length=list_get(args, 1),
),
"APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list,
"IIF": exp.If.from_arg_list,
}
FUNCTION_PARSERS = {
@ -111,6 +112,7 @@ class Spark(Hive):
exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}",
exp.TimestampTrunc: lambda self, e: f"DATE_TRUNC({self.sql(e, 'unit')}, {self.sql(e, 'this')})",
exp.VariancePop: rename_func("VAR_POP"),
exp.DateFromParts: rename_func("MAKE_DATE"),
}
WRAP_DERIVED_VALUES = False

4
sqlglot/dialects/starrocks.py
View file

@ -1,5 +1,5 @@
from sqlglot import exp
from sqlglot.dialects.dialect import rename_func
from sqlglot.dialects.dialect import arrow_json_extract_sql, rename_func
from sqlglot.dialects.mysql import MySQL
@ -14,6 +14,8 @@ class StarRocks(MySQL):
TRANSFORMS = {
**MySQL.Generator.TRANSFORMS,
exp.JSONExtractScalar: arrow_json_extract_sql,
exp.JSONExtract: arrow_json_extract_sql,
exp.DateDiff: rename_func("DATEDIFF"),
exp.StrToUnix: lambda self, e: f"UNIX_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
exp.TimeStrToDate: rename_func("TO_DATE"),

197
sqlglot/dialects/tsql.py
View file

@ -1,14 +1,149 @@
from sqlglot import exp
from sqlglot.dialects.dialect import Dialect
from sqlglot.dialects.dialect import Dialect, rename_func
from sqlglot.expressions import DataType
from sqlglot.generator import Generator
from sqlglot.helper import list_get
from sqlglot.parser import Parser
from sqlglot.time import format_time
from sqlglot.tokens import Tokenizer, TokenType
FULL_FORMAT_TIME_MAPPING = {"weekday": "%A", "dw": "%A", "w": "%A", "month": "%B", "mm": "%B", "m": "%B"}
DATE_DELTA_INTERVAL = {
"year": "year",
"yyyy": "year",
"yy": "year",
"quarter": "quarter",
"qq": "quarter",
"q": "quarter",
"month": "month",
"mm": "month",
"m": "month",
"week": "week",
"ww": "week",
"wk": "week",
"day": "day",
"dd": "day",
"d": "day",
}
def tsql_format_time_lambda(exp_class, full_format_mapping=None, default=None):
def _format_time(args):
return exp_class(
this=list_get(args, 1),
format=exp.Literal.string(
format_time(
list_get(args, 0).name or (TSQL.time_format if default is True else default),
{**TSQL.time_mapping, **FULL_FORMAT_TIME_MAPPING} if full_format_mapping else TSQL.time_mapping,
)
),
)
return _format_time
def parse_date_delta(exp_class):
def inner_func(args):
unit = DATE_DELTA_INTERVAL.get(list_get(args, 0).name.lower(), "day")
return exp_class(this=list_get(args, 2), expression=list_get(args, 1), unit=unit)
return inner_func
def generate_date_delta(self, e):
func = "DATEADD" if isinstance(e, exp.DateAdd) else "DATEDIFF"
return f"{func}({self.format_args(e.text('unit'), e.expression, e.this)})"
class TSQL(Dialect):
null_ordering = "nulls_are_small"
time_format = "'yyyy-mm-dd hh:mm:ss'"
time_mapping = {
"yyyy": "%Y",
"yy": "%y",
"year": "%Y",
"qq": "%q",
"q": "%q",
"quarter": "%q",
"dayofyear": "%j",
"day": "%d",
"dy": "%d",
"y": "%Y",
"week": "%W",
"ww": "%W",
"wk": "%W",
"hour": "%h",
"hh": "%I",
"minute": "%M",
"mi": "%M",
"n": "%M",
"second": "%S",
"ss": "%S",
"s": "%-S",
"millisecond": "%f",
"ms": "%f",
"weekday": "%W",
"dw": "%W",
"month": "%m",
"mm": "%M",
"m": "%-M",
"Y": "%Y",
"YYYY": "%Y",
"YY": "%y",
"MMMM": "%B",
"MMM": "%b",
"MM": "%m",
"M": "%-m",
"dd": "%d",
"d": "%-d",
"HH": "%H",
"H": "%-H",
"h": "%-I",
"S": "%f",
}
convert_format_mapping = {
"0": "%b %d %Y %-I:%M%p",
"1": "%m/%d/%y",
"2": "%y.%m.%d",
"3": "%d/%m/%y",
"4": "%d.%m.%y",
"5": "%d-%m-%y",
"6": "%d %b %y",
"7": "%b %d, %y",
"8": "%H:%M:%S",
"9": "%b %d %Y %-I:%M:%S:%f%p",
"10": "mm-dd-yy",
"11": "yy/mm/dd",
"12": "yymmdd",
"13": "%d %b %Y %H:%M:ss:%f",
"14": "%H:%M:%S:%f",
"20": "%Y-%m-%d %H:%M:%S",
"21": "%Y-%m-%d %H:%M:%S.%f",
"22": "%m/%d/%y %-I:%M:%S %p",
"23": "%Y-%m-%d",
"24": "%H:%M:%S",
"25": "%Y-%m-%d %H:%M:%S.%f",
"100": "%b %d %Y %-I:%M%p",
"101": "%m/%d/%Y",
"102": "%Y.%m.%d",
"103": "%d/%m/%Y",
"104": "%d.%m.%Y",
"105": "%d-%m-%Y",
"106": "%d %b %Y",
"107": "%b %d, %Y",
"108": "%H:%M:%S",
"109": "%b %d %Y %-I:%M:%S:%f%p",
"110": "%m-%d-%Y",
"111": "%Y/%m/%d",
"112": "%Y%m%d",
"113": "%d %b %Y %H:%M:%S:%f",
"114": "%H:%M:%S:%f",
"120": "%Y-%m-%d %H:%M:%S",
"121": "%Y-%m-%d %H:%M:%S.%f",
}
class Tokenizer(Tokenizer):
IDENTIFIERS = ['"', ("[", "]")]
@ -29,19 +164,67 @@ class TSQL(Dialect):
"UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER,
"XML": TokenType.XML,
"SQL_VARIANT": TokenType.VARIANT,
"NVARCHAR(MAX)": TokenType.TEXT,
"VARCHAR(MAX)": TokenType.TEXT,
}
class Parser(Parser):
FUNCTIONS = {
**Parser.FUNCTIONS,
"CHARINDEX": exp.StrPosition.from_arg_list,
"ISNULL": exp.Coalesce.from_arg_list,
"DATEADD": parse_date_delta(exp.DateAdd),
"DATEDIFF": parse_date_delta(exp.DateDiff),
"DATENAME": tsql_format_time_lambda(exp.TimeToStr, full_format_mapping=True),
"DATEPART": tsql_format_time_lambda(exp.TimeToStr),
"GETDATE": exp.CurrentDate.from_arg_list,
"IIF": exp.If.from_arg_list,
"LEN": exp.Length.from_arg_list,
"REPLICATE": exp.Repeat.from_arg_list,
"JSON_VALUE": exp.JSONExtractScalar.from_arg_list,
}
def _parse_convert(self):
VAR_LENGTH_DATATYPES = {
DataType.Type.NVARCHAR,
DataType.Type.VARCHAR,
DataType.Type.CHAR,
DataType.Type.NCHAR,
}
def _parse_convert(self, strict):
to = self._parse_types()
self._match(TokenType.COMMA)
this = self._parse_field()
return self.expression(exp.Cast, this=this, to=to)
# Retrieve length of datatype and override to default if not specified
if list_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES:
to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False)
# Check whether a conversion with format is applicable
if self._match(TokenType.COMMA):
format_val = self._parse_number().name
if format_val not in TSQL.convert_format_mapping:
raise ValueError(f"CONVERT function at T-SQL does not support format style {format_val}")
format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val])
# Check whether the convert entails a string to date format
if to.this == DataType.Type.DATE:
return self.expression(exp.StrToDate, this=this, format=format_norm)
# Check whether the convert entails a string to datetime format
elif to.this == DataType.Type.DATETIME:
return self.expression(exp.StrToTime, this=this, format=format_norm)
# Check whether the convert entails a date to string format
elif to.this in self.VAR_LENGTH_DATATYPES:
return self.expression(
exp.Cast if strict else exp.TryCast,
to=to,
this=self.expression(exp.TimeToStr, this=this, format=format_norm),
)
elif to.this == DataType.Type.TEXT:
return self.expression(exp.TimeToStr, this=this, format=format_norm)
# Entails a simple cast without any format requirement
return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
class Generator(Generator):
TYPE_MAPPING = {
@ -52,3 +235,11 @@ class TSQL(Dialect):
exp.DataType.Type.DATETIME: "DATETIME2",
exp.DataType.Type.VARIANT: "SQL_VARIANT",
}
TRANSFORMS = {
**Generator.TRANSFORMS,
exp.DateAdd: lambda self, e: generate_date_delta(self, e),
exp.DateDiff: lambda self, e: generate_date_delta(self, e),
exp.CurrentDate: rename_func("GETDATE"),
exp.If: rename_func("IIF"),
}

50
sqlglot/expressions.py
View file

@ -2411,6 +2411,11 @@ class TimeTrunc(Func, TimeUnit):
arg_types = {"this": True, "unit": True, "zone": False}
class DateFromParts(Func):
_sql_names = ["DATEFROMPARTS"]
arg_types = {"year": True, "month": True, "day": True}
class DateStrToDate(Func):
pass
@ -2554,7 +2559,7 @@ class Quantile(AggFunc):
class ApproxQuantile(Quantile):
pass
arg_types = {"this": True, "quantile": True, "accuracy": False}
class Reduce(Func):
@ -2569,6 +2574,10 @@ class RegexpSplit(Func):
arg_types = {"this": True, "expression": True}
class Repeat(Func):
arg_types = {"this": True, "times": True}
class Round(Func):
arg_types = {"this": True, "decimals": False}
@ -2690,7 +2699,7 @@ class TsOrDiToDi(Func):
class UnixToStr(Func):
arg_types = {"this": True, "format": True}
arg_types = {"this": True, "format": False}
class UnixToTime(Func):
@ -3077,6 +3086,8 @@ def update(table, properties, where=None, from_=None, dialect=None, **opts):
)
if from_:
update.set("from", maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts))
if isinstance(where, Condition):
where = Where(this=where)
if where:
update.set("where", maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts))
return update
@ -3518,6 +3529,41 @@ def replace_tables(expression, mapping):
return expression.transform(_replace_tables)
def replace_placeholders(expression, *args, **kwargs):
"""Replace placeholders in an expression.
Args:
expression (sqlglot.Expression): Expression node to be transformed and replaced
args: Positional names that will substitute unnamed placeholders in the given order
kwargs: Keyword arguments that will substitute named placeholders
Examples:
>>> from sqlglot import exp, parse_one
>>> replace_placeholders(
... parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo"
... ).sql()
'SELECT * FROM foo WHERE a = b'
Returns:
The mapped expression
"""
def _replace_placeholders(node, args, **kwargs):
if isinstance(node, Placeholder):
if node.name:
new_name = kwargs.get(node.name)
if new_name:
return to_identifier(new_name)
else:
try:
return to_identifier(next(args))
except StopIteration:
pass
return node
return expression.transform(_replace_placeholders, iter(args), **kwargs)
TRUE = Boolean(this=True)
FALSE = Boolean(this=False)
NULL = Null()

5
sqlglot/generator.py
View file

@ -47,7 +47,8 @@ class Generator:
The default is on the smaller end because the length only represents a segment and not the true
line length.
Default: 80
annotations: Whether or not to show annotations in the SQL.
annotations: Whether or not to show annotations in the SQL when `pretty` is True.
Annotations can only be shown in pretty mode otherwise they may clobber resulting sql.
Default: True
"""
@ -280,7 +281,7 @@ class Generator:
raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
def annotation_sql(self, expression):
if self._annotations:
if self._annotations and self.pretty:
return f"{self.sql(expression, 'expression')} # {expression.name}"
return self.sql(expression, "expression")

20
sqlglot/helper.py
View file

@ -194,6 +194,24 @@ def split_num_words(value: str, sep: str, min_num_words: int, fill_from_start: b
return words + [None] * (min_num_words - len(words))
def is_iterable(value: t.Any) -> bool:
"""
Checks if the value is an iterable but does not include strings and bytes
Examples:
>>> is_iterable([1,2])
True
>>> is_iterable("test")
False
Args:
value: The value to check if it is an interable
Returns: Bool indicating if it is an iterable
"""
return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
def flatten(values: t.Iterable[t.Union[t.Iterable[t.Any], t.Any]]) -> t.Generator[t.Any, None, None]:
"""
Flattens a list that can contain both iterables and non-iterable elements
@ -211,7 +229,7 @@ def flatten(values: t.Iterable[t.Union[t.Iterable[t.Any], t.Any]]) -> t.Generato
Yields non-iterable elements (not including str or byte as iterable)
"""
for value in values:
if hasattr(value, "__iter__") and not isinstance(value, (str, bytes)):
if is_iterable(value):
yield from flatten(value)
else:
yield value

9
sqlglot/parser.py
View file

@ -433,7 +433,8 @@ class Parser:
}
FUNCTION_PARSERS = {
"CONVERT": lambda self: self._parse_convert(),
"CONVERT": lambda self: self._parse_convert(self.STRICT_CAST),
"TRY_CONVERT": lambda self: self._parse_convert(False),
"EXTRACT": lambda self: self._parse_extract(),
"POSITION": lambda self: self._parse_position(),
"SUBSTRING": lambda self: self._parse_substring(),
@ -1512,7 +1513,7 @@ class Parser:
return this
def _parse_offset(self, this=None):
if not self._match(TokenType.OFFSET):
if not self._match_set((TokenType.OFFSET, TokenType.COMMA)):
return this
count = self._parse_number()
self._match_set((TokenType.ROW, TokenType.ROWS))
@ -2134,7 +2135,7 @@ class Parser:
return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
def _parse_convert(self):
def _parse_convert(self, strict):
this = self._parse_field()
if self._match(TokenType.USING):
to = self.expression(exp.CharacterSet, this=self._parse_var())
@ -2142,7 +2143,7 @@ class Parser:
to = self._parse_types()
else:
to = None
return self.expression(exp.Cast, this=this, to=to)
return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
def _parse_position(self):
args = self._parse_csv(self._parse_bitwise)

2
sqlglot/time.py
View file

@ -14,6 +14,8 @@ def format_time(string, mapping, trie=None):
mapping: Dictionary of time format to target time format
trie: Optional trie, can be passed in for performance
"""
if not string:
return None
start = 0
end = 1
size = len(string)

54
tests/dataframe/unit/test_functions.py
View file

@ -9,7 +9,6 @@ from sqlglot.errors import ErrorLevel
class TestFunctions(unittest.TestCase):
@unittest.skip("not yet fixed.")
def test_invoke_anonymous(self):
for name, func in inspect.getmembers(SF, inspect.isfunction):
with self.subTest(f"{name} should not invoke anonymous_function"):
@ -438,13 +437,13 @@ class TestFunctions(unittest.TestCase):
def test_pow(self):
col_str = SF.pow("cola", "colb")
self.assertEqual("POW(cola, colb)", col_str.sql())
self.assertEqual("POWER(cola, colb)", col_str.sql())
col = SF.pow(SF.col("cola"), SF.col("colb"))
self.assertEqual("POW(cola, colb)", col.sql())
self.assertEqual("POWER(cola, colb)", col.sql())
col_float = SF.pow(10.10, "colb")
self.assertEqual("POW(10.1, colb)", col_float.sql())
self.assertEqual("POWER(10.1, colb)", col_float.sql())
col_float2 = SF.pow("cola", 10.10)
self.assertEqual("POW(cola, 10.1)", col_float2.sql())
self.assertEqual("POWER(cola, 10.1)", col_float2.sql())
def test_row_number(self):
col_str = SF.row_number()
@ -493,6 +492,8 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("COALESCE(cola, colb, colc)", col_str.sql())
col = SF.coalesce(SF.col("cola"), "colb", SF.col("colc"))
self.assertEqual("COALESCE(cola, colb, colc)", col.sql())
col_single = SF.coalesce("cola")
self.assertEqual("COALESCE(cola)", col_single.sql())
def test_corr(self):
col_str = SF.corr("cola", "colb")
@ -843,8 +844,8 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("TO_DATE(cola)", col_str.sql())
col = SF.to_date(SF.col("cola"))
self.assertEqual("TO_DATE(cola)", col.sql())
col_with_format = SF.to_date("cola", "yyyy-MM-dd")
self.assertEqual("TO_DATE(cola, 'yyyy-MM-dd')", col_with_format.sql())
col_with_format = SF.to_date("cola", "yy-MM-dd")
self.assertEqual("TO_DATE(cola, 'yy-MM-dd')", col_with_format.sql())
def test_to_timestamp(self):
col_str = SF.to_timestamp("cola")
@ -883,16 +884,16 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("FROM_UNIXTIME(cola)", col_str.sql())
col = SF.from_unixtime(SF.col("cola"))
self.assertEqual("FROM_UNIXTIME(cola)", col.sql())
col_format = SF.from_unixtime("cola", "yyyy-MM-dd HH:mm:ss")
self.assertEqual("FROM_UNIXTIME(cola, 'yyyy-MM-dd HH:mm:ss')", col_format.sql())
col_format = SF.from_unixtime("cola", "yyyy-MM-dd HH:mm")
self.assertEqual("FROM_UNIXTIME(cola, 'yyyy-MM-dd HH:mm')", col_format.sql())
def test_unix_timestamp(self):
col_str = SF.unix_timestamp("cola")
self.assertEqual("UNIX_TIMESTAMP(cola)", col_str.sql())
col = SF.unix_timestamp(SF.col("cola"))
self.assertEqual("UNIX_TIMESTAMP(cola)", col.sql())
col_format = SF.unix_timestamp("cola", "yyyy-MM-dd HH:mm:ss")
self.assertEqual("UNIX_TIMESTAMP(cola, 'yyyy-MM-dd HH:mm:ss')", col_format.sql())
col_format = SF.unix_timestamp("cola", "yyyy-MM-dd HH:mm")
self.assertEqual("UNIX_TIMESTAMP(cola, 'yyyy-MM-dd HH:mm')", col_format.sql())
col_current = SF.unix_timestamp()
self.assertEqual("UNIX_TIMESTAMP()", col_current.sql())
@ -1427,6 +1428,13 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("ARRAY_SORT(cola)", col_str.sql())
col = SF.array_sort(SF.col("cola"))
self.assertEqual("ARRAY_SORT(cola)", col.sql())
col_comparator = SF.array_sort(
"cola", lambda x, y: SF.when(x.isNull() | y.isNull(), SF.lit(0)).otherwise(SF.length(y) - SF.length(x))
)
self.assertEqual(
"ARRAY_SORT(cola, (x, y) -> CASE WHEN x IS NULL OR y IS NULL THEN 0 ELSE LENGTH(y) - LENGTH(x) END)",
col_comparator.sql(),
)
def test_reverse(self):
col_str = SF.reverse("cola")
@ -1514,8 +1522,6 @@ class TestFunctions(unittest.TestCase):
SF.lit(0),
lambda accumulator, target: accumulator + target,
lambda accumulator: accumulator * 2,
"accumulator",
"target",
)
self.assertEqual(
"AGGREGATE(cola, 0, (accumulator, target) -> accumulator + target, accumulator -> accumulator * 2)",
@ -1527,7 +1533,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("TRANSFORM(cola, x -> x * 2)", col_str.sql())
col = SF.transform(SF.col("cola"), lambda x, i: x * i)
self.assertEqual("TRANSFORM(cola, (x, i) -> x * i)", col.sql())
col_custom_names = SF.transform("cola", lambda target, row_count: target * row_count, "target", "row_count")
col_custom_names = SF.transform("cola", lambda target, row_count: target * row_count)
self.assertEqual("TRANSFORM(cola, (target, row_count) -> target * row_count)", col_custom_names.sql())
@ -1536,7 +1542,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("EXISTS(cola, x -> x % 2 = 0)", col_str.sql())
col = SF.exists(SF.col("cola"), lambda x: x % 2 == 0)
self.assertEqual("EXISTS(cola, x -> x % 2 = 0)", col.sql())
col_custom_name = SF.exists("cola", lambda target: target > 0, "target")
col_custom_name = SF.exists("cola", lambda target: target > 0)
self.assertEqual("EXISTS(cola, target -> target > 0)", col_custom_name.sql())
def test_forall(self):
@ -1544,7 +1550,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("FORALL(cola, x -> x RLIKE 'foo')", col_str.sql())
col = SF.forall(SF.col("cola"), lambda x: x.rlike("foo"))
self.assertEqual("FORALL(cola, x -> x RLIKE 'foo')", col.sql())
col_custom_name = SF.forall("cola", lambda target: target.rlike("foo"), "target")
col_custom_name = SF.forall("cola", lambda target: target.rlike("foo"))
self.assertEqual("FORALL(cola, target -> target RLIKE 'foo')", col_custom_name.sql())
def test_filter(self):
@ -1552,9 +1558,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("FILTER(cola, x -> MONTH(TO_DATE(x)) > 6)", col_str.sql())
col = SF.filter(SF.col("cola"), lambda x, i: SF.month(SF.to_date(x)) > SF.lit(i))
self.assertEqual("FILTER(cola, (x, i) -> MONTH(TO_DATE(x)) > i)", col.sql())
col_custom_names = SF.filter(
"cola", lambda target, row_count: SF.month(SF.to_date(target)) > SF.lit(row_count), "target", "row_count"
)
col_custom_names = SF.filter("cola", lambda target, row_count: SF.month(SF.to_date(target)) > SF.lit(row_count))
self.assertEqual(
"FILTER(cola, (target, row_count) -> MONTH(TO_DATE(target)) > row_count)", col_custom_names.sql()
@ -1565,7 +1569,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("ZIP_WITH(cola, colb, (x, y) -> CONCAT_WS('_', x, y))", col_str.sql())
col = SF.zip_with(SF.col("cola"), SF.col("colb"), lambda x, y: SF.concat_ws("_", x, y))
self.assertEqual("ZIP_WITH(cola, colb, (x, y) -> CONCAT_WS('_', x, y))", col.sql())
col_custom_names = SF.zip_with("cola", "colb", lambda l, r: SF.concat_ws("_", l, r), "l", "r")
col_custom_names = SF.zip_with("cola", "colb", lambda l, r: SF.concat_ws("_", l, r))
self.assertEqual("ZIP_WITH(cola, colb, (l, r) -> CONCAT_WS('_', l, r))", col_custom_names.sql())
def test_transform_keys(self):
@ -1573,7 +1577,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("TRANSFORM_KEYS(cola, (k, v) -> UPPER(k))", col_str.sql())
col = SF.transform_keys(SF.col("cola"), lambda k, v: SF.upper(k))
self.assertEqual("TRANSFORM_KEYS(cola, (k, v) -> UPPER(k))", col.sql())
col_custom_names = SF.transform_keys("cola", lambda key, _: SF.upper(key), "key", "_")
col_custom_names = SF.transform_keys("cola", lambda key, _: SF.upper(key))
self.assertEqual("TRANSFORM_KEYS(cola, (key, _) -> UPPER(key))", col_custom_names.sql())
def test_transform_values(self):
@ -1581,7 +1585,7 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("TRANSFORM_VALUES(cola, (k, v) -> UPPER(v))", col_str.sql())
col = SF.transform_values(SF.col("cola"), lambda k, v: SF.upper(v))
self.assertEqual("TRANSFORM_VALUES(cola, (k, v) -> UPPER(v))", col.sql())
col_custom_names = SF.transform_values("cola", lambda _, value: SF.upper(value), "_", "value")
col_custom_names = SF.transform_values("cola", lambda _, value: SF.upper(value))
self.assertEqual("TRANSFORM_VALUES(cola, (_, value) -> UPPER(value))", col_custom_names.sql())
def test_map_filter(self):
@ -1589,5 +1593,9 @@ class TestFunctions(unittest.TestCase):
self.assertEqual("MAP_FILTER(cola, (k, v) -> k > v)", col_str.sql())
col = SF.map_filter(SF.col("cola"), lambda k, v: k > v)
self.assertEqual("MAP_FILTER(cola, (k, v) -> k > v)", col.sql())
col_custom_names = SF.map_filter("cola", lambda key, value: key > value, "key", "value")
col_custom_names = SF.map_filter("cola", lambda key, value: key > value)
self.assertEqual("MAP_FILTER(cola, (key, value) -> key > value)", col_custom_names.sql())
def test_map_zip_with(self):
col = SF.map_zip_with("base", "ratio", lambda k, v1, v2: SF.round(v1 * v2, 2))
self.assertEqual("MAP_ZIP_WITH(base, ratio, (k, v1, v2) -> ROUND(v1 * v2, 2))", col.sql())

9
tests/dialects/test_bigquery.py
View file

@ -105,6 +105,15 @@ class TestBigQuery(Validator):
"spark": "x IS NULL",
},
)
self.validate_all(
"CURRENT_DATE",
read={
"tsql": "GETDATE()",
},
write={
"tsql": "GETDATE()",
},
)
self.validate_all(
"current_datetime",
write={

10
tests/dialects/test_dialect.py
View file

@ -434,12 +434,7 @@ class TestDialect(Validator):
"presto": "DATE_ADD('day', 1, x)",
"spark": "DATE_ADD(x, 1)",
"starrocks": "DATE_ADD(x, INTERVAL 1 DAY)",
},
)
self.validate_all(
"DATE_ADD(x, y, 'day')",
write={
"postgres": UnsupportedError,
"tsql": "DATEADD(day, 1, x)",
},
)
self.validate_all(
@ -634,11 +629,13 @@ class TestDialect(Validator):
read={
"postgres": "x->'y'",
"presto": "JSON_EXTRACT(x, 'y')",
"starrocks": "x->'y'",
},
write={
"oracle": "JSON_EXTRACT(x, 'y')",
"postgres": "x->'y'",
"presto": "JSON_EXTRACT(x, 'y')",
"starrocks": "x->'y'",
},
)
self.validate_all(
@ -983,6 +980,7 @@ class TestDialect(Validator):
)
def test_limit(self):
self.validate_all("SELECT * FROM data LIMIT 10, 20", write={"sqlite": "SELECT * FROM data LIMIT 10 OFFSET 20"})
self.validate_all(
"SELECT x FROM y LIMIT 10",
write={

3
tests/dialects/test_spark.py
View file

@ -282,3 +282,6 @@ TBLPROPERTIES (
"spark": "SELECT ARRAY_SORT(x)",
},
)
def test_iif(self):
self.validate_all("SELECT IIF(cond, 'True', 'False')", write={"spark": "SELECT IF(cond, 'True', 'False')"})

223
tests/dialects/test_tsql.py
View file

@ -71,3 +71,226 @@ class TestTSQL(Validator):
"spark": "LOCATE('sub', 'testsubstring')",
},
)
def test_len(self):
self.validate_all("LEN(x)", write={"spark": "LENGTH(x)"})
def test_replicate(self):
self.validate_all("REPLICATE('x', 2)", write={"spark": "REPEAT('x', 2)"})
def test_isnull(self):
self.validate_all("ISNULL(x, y)", write={"spark": "COALESCE(x, y)"})
def test_jsonvalue(self):
self.validate_all(
"JSON_VALUE(r.JSON, '$.Attr_INT')",
write={"spark": "GET_JSON_OBJECT(r.JSON, '$.Attr_INT')"},
)
def test_datefromparts(self):
self.validate_all(
"SELECT DATEFROMPARTS('2020', 10, 01)",
write={"spark": "SELECT MAKE_DATE('2020', 10, 01)"},
)
def test_datename(self):
self.validate_all(
"SELECT DATENAME(mm,'01-01-1970')",
write={"spark": "SELECT DATE_FORMAT('01-01-1970', 'MMMM')"},
)
self.validate_all(
"SELECT DATENAME(dw,'01-01-1970')",
write={"spark": "SELECT DATE_FORMAT('01-01-1970', 'EEEE')"},
)
def test_datepart(self):
self.validate_all(
"SELECT DATEPART(month,'01-01-1970')",
write={"spark": "SELECT DATE_FORMAT('01-01-1970', 'MM')"},
)
def test_convert_date_format(self):
self.validate_all(
"CONVERT(NVARCHAR(200), x)",
write={
"spark": "CAST(x AS VARCHAR(200))",
},
)
self.validate_all(
"CONVERT(NVARCHAR, x)",
write={
"spark": "CAST(x AS VARCHAR(30))",
},
)
self.validate_all(
"CONVERT(NVARCHAR(MAX), x)",
write={
"spark": "CAST(x AS STRING)",
},
)
self.validate_all(
"CONVERT(VARCHAR(200), x)",
write={
"spark": "CAST(x AS VARCHAR(200))",
},
)
self.validate_all(
"CONVERT(VARCHAR, x)",
write={
"spark": "CAST(x AS VARCHAR(30))",
},
)
self.validate_all(
"CONVERT(VARCHAR(MAX), x)",
write={
"spark": "CAST(x AS STRING)",
},
)
self.validate_all(
"CONVERT(CHAR(40), x)",
write={
"spark": "CAST(x AS CHAR(40))",
},
)
self.validate_all(
"CONVERT(CHAR, x)",
write={
"spark": "CAST(x AS CHAR(30))",
},
)
self.validate_all(
"CONVERT(NCHAR(40), x)",
write={
"spark": "CAST(x AS CHAR(40))",
},
)
self.validate_all(
"CONVERT(NCHAR, x)",
write={
"spark": "CAST(x AS CHAR(30))",
},
)
self.validate_all(
"CONVERT(VARCHAR, x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(30))",
},
)
self.validate_all(
"CONVERT(VARCHAR(40), x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(40))",
},
)
self.validate_all(
"CONVERT(VARCHAR(MAX), x, 121)",
write={
"spark": "DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
},
)
self.validate_all(
"CONVERT(NVARCHAR, x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(30))",
},
)
self.validate_all(
"CONVERT(NVARCHAR(40), x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(40))",
},
)
self.validate_all(
"CONVERT(NVARCHAR(MAX), x, 121)",
write={
"spark": "DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
},
)
self.validate_all(
"CONVERT(DATE, x, 121)",
write={
"spark": "TO_DATE(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
},
)
self.validate_all(
"CONVERT(DATETIME, x, 121)",
write={
"spark": "TO_TIMESTAMP(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
},
)
self.validate_all(
"CONVERT(DATETIME2, x, 121)",
write={
"spark": "TO_TIMESTAMP(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
},
)
self.validate_all(
"CONVERT(INT, x)",
write={
"spark": "CAST(x AS INT)",
},
)
self.validate_all(
"CONVERT(INT, x, 121)",
write={
"spark": "CAST(x AS INT)",
},
)
self.validate_all(
"TRY_CONVERT(NVARCHAR, x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(30))",
},
)
self.validate_all(
"TRY_CONVERT(INT, x)",
write={
"spark": "CAST(x AS INT)",
},
)
self.validate_all(
"TRY_CAST(x AS INT)",
write={
"spark": "CAST(x AS INT)",
},
)
self.validate_all(
"CAST(x AS INT)",
write={
"spark": "CAST(x AS INT)",
},
)
def test_add_date(self):
self.validate_identity("SELECT DATEADD(year, 1, '2017/08/25')")
self.validate_all(
"SELECT DATEADD(year, 1, '2017/08/25')", write={"spark": "SELECT ADD_MONTHS('2017/08/25', 12)"}
)
self.validate_all("SELECT DATEADD(qq, 1, '2017/08/25')", write={"spark": "SELECT ADD_MONTHS('2017/08/25', 3)"})
self.validate_all("SELECT DATEADD(wk, 1, '2017/08/25')", write={"spark": "SELECT DATE_ADD('2017/08/25', 7)"})
def test_date_diff(self):
self.validate_identity("SELECT DATEDIFF(year, '2020/01/01', '2021/01/01')")
self.validate_all(
"SELECT DATEDIFF(year, '2020/01/01', '2021/01/01')",
write={
"tsql": "SELECT DATEDIFF(year, '2020/01/01', '2021/01/01')",
"spark": "SELECT MONTHS_BETWEEN('2021/01/01', '2020/01/01') / 12",
},
)
self.validate_all(
"SELECT DATEDIFF(month, 'start','end')",
write={"spark": "SELECT MONTHS_BETWEEN('end', 'start')", "tsql": "SELECT DATEDIFF(month, 'start', 'end')"},
)
self.validate_all(
"SELECT DATEDIFF(quarter, 'start', 'end')", write={"spark": "SELECT MONTHS_BETWEEN('end', 'start') / 3"}
)
def test_iif(self):
self.validate_identity("SELECT IIF(cond, 'True', 'False')")
self.validate_all(
"SELECT IIF(cond, 'True', 'False');",
write={
"spark": "SELECT IF(cond, 'True', 'False')",
},
)

1
tests/fixtures/identity.sql vendored
View file

@ -149,7 +149,6 @@ SELECT 1 AS count FROM test
SELECT 1 AS comment FROM test
SELECT 1 AS numeric FROM test
SELECT 1 AS number FROM test
SELECT 1 AS number # annotation
SELECT t.count
SELECT DISTINCT x FROM test
SELECT DISTINCT x, y FROM test

4
tests/test_build.py
View file

@ -329,6 +329,10 @@ class TestBuild(unittest.TestCase):
lambda: exp.update("tbl", {"x": 1}, where="y > 0"),
"UPDATE tbl SET x = 1 WHERE y > 0",
),
(
lambda: exp.update("tbl", {"x": 1}, where=exp.condition("y > 0")),
"UPDATE tbl SET x = 1 WHERE y > 0",
),
(
lambda: exp.update("tbl", {"x": 1}, from_="tbl2"),
"UPDATE tbl SET x = 1 FROM tbl2",

66
tests/test_expressions.py
View file

@ -135,6 +135,53 @@ class TestExpressions(unittest.TestCase):
"SELECT * FROM a1 AS a JOIN b.a JOIN c.a2 JOIN d2 JOIN e.a",
)
def test_replace_placeholders(self):
self.assertEqual(
exp.replace_placeholders(
parse_one("select * from :tbl1 JOIN :tbl2 ON :col1 = :col2 WHERE :col3 > 100"),
tbl1="foo",
tbl2="bar",
col1="a",
col2="b",
col3="c",
).sql(),
"SELECT * FROM foo JOIN bar ON a = b WHERE c > 100",
)
self.assertEqual(
exp.replace_placeholders(
parse_one("select * from ? JOIN ? ON ? = ? WHERE ? > 100"),
"foo",
"bar",
"a",
"b",
"c",
).sql(),
"SELECT * FROM foo JOIN bar ON a = b WHERE c > 100",
)
self.assertEqual(
exp.replace_placeholders(
parse_one("select * from ? WHERE ? > 100"),
"foo",
).sql(),
"SELECT * FROM foo WHERE ? > 100",
)
self.assertEqual(
exp.replace_placeholders(parse_one("select * from :name WHERE ? > 100"), another_name="bla").sql(),
"SELECT * FROM :name WHERE ? > 100",
)
self.assertEqual(
exp.replace_placeholders(
parse_one("select * from (SELECT :col1 FROM ?) WHERE :col2 > 100"),
"tbl1",
"tbl2",
"tbl3",
col1="a",
col2="b",
col3="c",
).sql(),
"SELECT * FROM (SELECT a FROM tbl1) WHERE b > 100",
)
def test_named_selects(self):
expression = parse_one("SELECT a, b AS B, c + d AS e, *, 'zz', 'zz' AS z FROM foo as bar, baz")
self.assertEqual(expression.named_selects, ["a", "B", "e", "*", "zz", "z"])
@ -504,9 +551,24 @@ class TestExpressions(unittest.TestCase):
[e.alias_or_name for e in expression.expressions],
["a", "B", "c", "D"],
)
self.assertEqual(expression.sql(), sql)
self.assertEqual(expression.sql(), "SELECT a, b AS B, c, d AS D")
self.assertEqual(expression.expressions[2].name, "comment")
self.assertEqual(expression.sql(annotations=False), "SELECT a, b AS B, c, d AS D")
self.assertEqual(
expression.sql(pretty=True, annotations=False),
"""SELECT
a,
b AS B,
c,
d AS D""",
)
self.assertEqual(
expression.sql(pretty=True),
"""SELECT
a,
b AS B,
c # comment,
d AS D # another_comment FROM foo""",
)
def test_to_table(self):
table_only = exp.to_table("table_name")

2
tests/test_time.py
View file

@ -5,7 +5,7 @@ from sqlglot.time import format_time
class TestTime(unittest.TestCase):
def test_format_time(self):
self.assertEqual(format_time("", {}), "")
self.assertEqual(format_time("", {}), None)
self.assertEqual(format_time(" ", {}), " ")
mapping = {"a": "b", "aa": "c"}
self.assertEqual(format_time("a", mapping), "b")