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sqlglot.dialects.redshift

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  1from __future__ import annotations
  2
  3import typing as t
  4
  5from sqlglot import exp, transforms
  6from sqlglot.dialects.postgres import Postgres
  7from sqlglot.helper import seq_get
  8from sqlglot.tokens import TokenType
  9
 10
 11class Redshift(Postgres):
 12    time_format = "'YYYY-MM-DD HH:MI:SS'"
 13    time_mapping = {
 14        **Postgres.time_mapping,  # type: ignore
 15        "MON": "%b",
 16        "HH": "%H",
 17    }
 18
 19    class Parser(Postgres.Parser):
 20        FUNCTIONS = {
 21            **Postgres.Parser.FUNCTIONS,  # type: ignore
 22            "DATEADD": lambda args: exp.DateAdd(
 23                this=seq_get(args, 2),
 24                expression=seq_get(args, 1),
 25                unit=seq_get(args, 0),
 26            ),
 27            "DATEDIFF": lambda args: exp.DateDiff(
 28                this=seq_get(args, 2),
 29                expression=seq_get(args, 1),
 30                unit=seq_get(args, 0),
 31            ),
 32            "NVL": exp.Coalesce.from_arg_list,
 33        }
 34
 35        CONVERT_TYPE_FIRST = True
 36
 37        def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
 38            this = super()._parse_types(check_func=check_func)
 39
 40            if (
 41                isinstance(this, exp.DataType)
 42                and this.this == exp.DataType.Type.VARCHAR
 43                and this.expressions
 44                and this.expressions[0] == exp.column("MAX")
 45            ):
 46                this.set("expressions", [exp.Var(this="MAX")])
 47
 48            return this
 49
 50    class Tokenizer(Postgres.Tokenizer):
 51        STRING_ESCAPES = ["\\"]
 52
 53        KEYWORDS = {
 54            **Postgres.Tokenizer.KEYWORDS,  # type: ignore
 55            "GEOMETRY": TokenType.GEOMETRY,
 56            "GEOGRAPHY": TokenType.GEOGRAPHY,
 57            "HLLSKETCH": TokenType.HLLSKETCH,
 58            "SUPER": TokenType.SUPER,
 59            "TIME": TokenType.TIMESTAMP,
 60            "TIMETZ": TokenType.TIMESTAMPTZ,
 61            "TOP": TokenType.TOP,
 62            "UNLOAD": TokenType.COMMAND,
 63            "VARBYTE": TokenType.VARBINARY,
 64        }
 65
 66    class Generator(Postgres.Generator):
 67        TYPE_MAPPING = {
 68            **Postgres.Generator.TYPE_MAPPING,  # type: ignore
 69            exp.DataType.Type.BINARY: "VARBYTE",
 70            exp.DataType.Type.VARBINARY: "VARBYTE",
 71            exp.DataType.Type.INT: "INTEGER",
 72        }
 73
 74        PROPERTIES_LOCATION = {
 75            **Postgres.Generator.PROPERTIES_LOCATION,  # type: ignore
 76            exp.LikeProperty: exp.Properties.Location.POST_WITH,
 77        }
 78
 79        TRANSFORMS = {
 80            **Postgres.Generator.TRANSFORMS,  # type: ignore
 81            **transforms.ELIMINATE_DISTINCT_ON,  # type: ignore
 82            exp.DateAdd: lambda self, e: self.func(
 83                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 84            ),
 85            exp.DateDiff: lambda self, e: self.func(
 86                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
 87            ),
 88            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
 89            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
 90            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
 91        }
 92
 93        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 94        TRANSFORMS.pop(exp.Pow)
 95
 96        def values_sql(self, expression: exp.Values) -> str:
 97            """
 98            Converts `VALUES...` expression into a series of unions.
 99
100            Note: If you have a lot of unions then this will result in a large number of recursive statements to
101            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
102            very slow.
103            """
104            if not isinstance(expression.unnest().parent, exp.From):
105                return super().values_sql(expression)
106            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
107            selects = []
108            for i, row in enumerate(rows):
109                if i == 0 and expression.alias:
110                    row = [
111                        exp.alias_(value, column_name)
112                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
113                    ]
114                selects.append(exp.Select(expressions=row))
115            subquery_expression = selects[0]
116            if len(selects) > 1:
117                for select in selects[1:]:
118                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
119            return self.subquery_sql(subquery_expression.subquery(expression.alias))
120
121        def with_properties(self, properties: exp.Properties) -> str:
122            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
123            return self.properties(properties, prefix=" ", suffix="")
124
125        def renametable_sql(self, expression: exp.RenameTable) -> str:
126            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
127            expression = expression.copy()
128            target_table = expression.this
129            for arg in target_table.args:
130                if arg != "this":
131                    target_table.set(arg, None)
132            this = self.sql(expression, "this")
133            return f"RENAME TO {this}"
134
135        def datatype_sql(self, expression: exp.DataType) -> str:
136            """
137            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
138            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
139            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
140            `TEXT` to `VARCHAR`.
141            """
142            if expression.this == exp.DataType.Type.TEXT:
143                expression = expression.copy()
144                expression.set("this", exp.DataType.Type.VARCHAR)
145                precision = expression.args.get("expressions")
146                if not precision:
147                    expression.append("expressions", exp.Var(this="MAX"))
148            return super().datatype_sql(expression)

class Redshift(sqlglot.dialects.postgres.Postgres): View Source

 12class Redshift(Postgres):
 13    time_format = "'YYYY-MM-DD HH:MI:SS'"
 14    time_mapping = {
 15        **Postgres.time_mapping,  # type: ignore
 16        "MON": "%b",
 17        "HH": "%H",
 18    }
 19
 20    class Parser(Postgres.Parser):
 21        FUNCTIONS = {
 22            **Postgres.Parser.FUNCTIONS,  # type: ignore
 23            "DATEADD": lambda args: exp.DateAdd(
 24                this=seq_get(args, 2),
 25                expression=seq_get(args, 1),
 26                unit=seq_get(args, 0),
 27            ),
 28            "DATEDIFF": lambda args: exp.DateDiff(
 29                this=seq_get(args, 2),
 30                expression=seq_get(args, 1),
 31                unit=seq_get(args, 0),
 32            ),
 33            "NVL": exp.Coalesce.from_arg_list,
 34        }
 35
 36        CONVERT_TYPE_FIRST = True
 37
 38        def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
 39            this = super()._parse_types(check_func=check_func)
 40
 41            if (
 42                isinstance(this, exp.DataType)
 43                and this.this == exp.DataType.Type.VARCHAR
 44                and this.expressions
 45                and this.expressions[0] == exp.column("MAX")
 46            ):
 47                this.set("expressions", [exp.Var(this="MAX")])
 48
 49            return this
 50
 51    class Tokenizer(Postgres.Tokenizer):
 52        STRING_ESCAPES = ["\\"]
 53
 54        KEYWORDS = {
 55            **Postgres.Tokenizer.KEYWORDS,  # type: ignore
 56            "GEOMETRY": TokenType.GEOMETRY,
 57            "GEOGRAPHY": TokenType.GEOGRAPHY,
 58            "HLLSKETCH": TokenType.HLLSKETCH,
 59            "SUPER": TokenType.SUPER,
 60            "TIME": TokenType.TIMESTAMP,
 61            "TIMETZ": TokenType.TIMESTAMPTZ,
 62            "TOP": TokenType.TOP,
 63            "UNLOAD": TokenType.COMMAND,
 64            "VARBYTE": TokenType.VARBINARY,
 65        }
 66
 67    class Generator(Postgres.Generator):
 68        TYPE_MAPPING = {
 69            **Postgres.Generator.TYPE_MAPPING,  # type: ignore
 70            exp.DataType.Type.BINARY: "VARBYTE",
 71            exp.DataType.Type.VARBINARY: "VARBYTE",
 72            exp.DataType.Type.INT: "INTEGER",
 73        }
 74
 75        PROPERTIES_LOCATION = {
 76            **Postgres.Generator.PROPERTIES_LOCATION,  # type: ignore
 77            exp.LikeProperty: exp.Properties.Location.POST_WITH,
 78        }
 79
 80        TRANSFORMS = {
 81            **Postgres.Generator.TRANSFORMS,  # type: ignore
 82            **transforms.ELIMINATE_DISTINCT_ON,  # type: ignore
 83            exp.DateAdd: lambda self, e: self.func(
 84                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 85            ),
 86            exp.DateDiff: lambda self, e: self.func(
 87                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
 88            ),
 89            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
 90            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
 91            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
 92        }
 93
 94        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 95        TRANSFORMS.pop(exp.Pow)
 96
 97        def values_sql(self, expression: exp.Values) -> str:
 98            """
 99            Converts `VALUES...` expression into a series of unions.
100
101            Note: If you have a lot of unions then this will result in a large number of recursive statements to
102            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
103            very slow.
104            """
105            if not isinstance(expression.unnest().parent, exp.From):
106                return super().values_sql(expression)
107            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
108            selects = []
109            for i, row in enumerate(rows):
110                if i == 0 and expression.alias:
111                    row = [
112                        exp.alias_(value, column_name)
113                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
114                    ]
115                selects.append(exp.Select(expressions=row))
116            subquery_expression = selects[0]
117            if len(selects) > 1:
118                for select in selects[1:]:
119                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
120            return self.subquery_sql(subquery_expression.subquery(expression.alias))
121
122        def with_properties(self, properties: exp.Properties) -> str:
123            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
124            return self.properties(properties, prefix=" ", suffix="")
125
126        def renametable_sql(self, expression: exp.RenameTable) -> str:
127            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
128            expression = expression.copy()
129            target_table = expression.this
130            for arg in target_table.args:
131                if arg != "this":
132                    target_table.set(arg, None)
133            this = self.sql(expression, "this")
134            return f"RENAME TO {this}"
135
136        def datatype_sql(self, expression: exp.DataType) -> str:
137            """
138            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
139            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
140            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
141            `TEXT` to `VARCHAR`.
142            """
143            if expression.this == exp.DataType.Type.TEXT:
144                expression = expression.copy()
145                expression.set("this", exp.DataType.Type.VARCHAR)
146                precision = expression.args.get("expressions")
147                if not precision:
148                    expression.append("expressions", exp.Var(this="MAX"))
149            return super().datatype_sql(expression)

Inherited Members

sqlglot.dialects.dialect.Dialect: get_or_raise; format_time; parse; parse_into; generate; transpile; tokenize; parser; generator

class Redshift.Parser(sqlglot.dialects.postgres.Postgres.Parser): View Source

20    class Parser(Postgres.Parser):
21        FUNCTIONS = {
22            **Postgres.Parser.FUNCTIONS,  # type: ignore
23            "DATEADD": lambda args: exp.DateAdd(
24                this=seq_get(args, 2),
25                expression=seq_get(args, 1),
26                unit=seq_get(args, 0),
27            ),
28            "DATEDIFF": lambda args: exp.DateDiff(
29                this=seq_get(args, 2),
30                expression=seq_get(args, 1),
31                unit=seq_get(args, 0),
32            ),
33            "NVL": exp.Coalesce.from_arg_list,
34        }
35
36        CONVERT_TYPE_FIRST = True
37
38        def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
39            this = super()._parse_types(check_func=check_func)
40
41            if (
42                isinstance(this, exp.DataType)
43                and this.this == exp.DataType.Type.VARCHAR
44                and this.expressions
45                and this.expressions[0] == exp.column("MAX")
46            ):
47                this.set("expressions", [exp.Var(this="MAX")])
48
49            return this

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces a parsed syntax tree.

Arguments:

error_level: the desired error level. Default: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a query string when displaying the error message (in number of characters). Default: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list. Default: 0
alias_post_tablesample: If the table alias comes after tablesample. Default: False
max_errors: Maximum number of error messages to include in a raised ParseError. This is only relevant if error_level is ErrorLevel.RAISE. Default: 3
null_ordering: Indicates the default null ordering method to use if not explicitly set. Options are "nulls_are_small", "nulls_are_large", "nulls_are_last". Default: "nulls_are_small"

Inherited Members

sqlglot.parser.Parser: Parser; reset; parse; parse_into; check_errors; raise_error; expression; validate_expression

class Redshift.Tokenizer(sqlglot.dialects.postgres.Postgres.Tokenizer): View Source

51    class Tokenizer(Postgres.Tokenizer):
52        STRING_ESCAPES = ["\\"]
53
54        KEYWORDS = {
55            **Postgres.Tokenizer.KEYWORDS,  # type: ignore
56            "GEOMETRY": TokenType.GEOMETRY,
57            "GEOGRAPHY": TokenType.GEOGRAPHY,
58            "HLLSKETCH": TokenType.HLLSKETCH,
59            "SUPER": TokenType.SUPER,
60            "TIME": TokenType.TIMESTAMP,
61            "TIMETZ": TokenType.TIMESTAMPTZ,
62            "TOP": TokenType.TOP,
63            "UNLOAD": TokenType.COMMAND,
64            "VARBYTE": TokenType.VARBINARY,
65        }

Inherited Members

sqlglot.tokens.Tokenizer: reset; tokenize

class Redshift.Generator(sqlglot.dialects.postgres.Postgres.Generator): View Source

 67    class Generator(Postgres.Generator):
 68        TYPE_MAPPING = {
 69            **Postgres.Generator.TYPE_MAPPING,  # type: ignore
 70            exp.DataType.Type.BINARY: "VARBYTE",
 71            exp.DataType.Type.VARBINARY: "VARBYTE",
 72            exp.DataType.Type.INT: "INTEGER",
 73        }
 74
 75        PROPERTIES_LOCATION = {
 76            **Postgres.Generator.PROPERTIES_LOCATION,  # type: ignore
 77            exp.LikeProperty: exp.Properties.Location.POST_WITH,
 78        }
 79
 80        TRANSFORMS = {
 81            **Postgres.Generator.TRANSFORMS,  # type: ignore
 82            **transforms.ELIMINATE_DISTINCT_ON,  # type: ignore
 83            exp.DateAdd: lambda self, e: self.func(
 84                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 85            ),
 86            exp.DateDiff: lambda self, e: self.func(
 87                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
 88            ),
 89            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
 90            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
 91            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
 92        }
 93
 94        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 95        TRANSFORMS.pop(exp.Pow)
 96
 97        def values_sql(self, expression: exp.Values) -> str:
 98            """
 99            Converts `VALUES...` expression into a series of unions.
100
101            Note: If you have a lot of unions then this will result in a large number of recursive statements to
102            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
103            very slow.
104            """
105            if not isinstance(expression.unnest().parent, exp.From):
106                return super().values_sql(expression)
107            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
108            selects = []
109            for i, row in enumerate(rows):
110                if i == 0 and expression.alias:
111                    row = [
112                        exp.alias_(value, column_name)
113                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
114                    ]
115                selects.append(exp.Select(expressions=row))
116            subquery_expression = selects[0]
117            if len(selects) > 1:
118                for select in selects[1:]:
119                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
120            return self.subquery_sql(subquery_expression.subquery(expression.alias))
121
122        def with_properties(self, properties: exp.Properties) -> str:
123            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
124            return self.properties(properties, prefix=" ", suffix="")
125
126        def renametable_sql(self, expression: exp.RenameTable) -> str:
127            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
128            expression = expression.copy()
129            target_table = expression.this
130            for arg in target_table.args:
131                if arg != "this":
132                    target_table.set(arg, None)
133            this = self.sql(expression, "this")
134            return f"RENAME TO {this}"
135
136        def datatype_sql(self, expression: exp.DataType) -> str:
137            """
138            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
139            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
140            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
141            `TEXT` to `VARCHAR`.
142            """
143            if expression.this == exp.DataType.Type.TEXT:
144                expression = expression.copy()
145                expression.set("this", exp.DataType.Type.VARCHAR)
146                precision = expression.args.get("expressions")
147                if not precision:
148                    expression.append("expressions", exp.Var(this="MAX"))
149            return super().datatype_sql(expression)

Generator interprets the given syntax tree and produces a SQL string as an output.

Arguments:

time_mapping (dict): the dictionary of custom time mappings in which the key represents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: ".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: ".
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: ".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, "upper", "lower", or None Default: "upper"
alias_post_tablesample (bool): if the table alias comes after tablesample Default: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters unsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set. Options are "nulls_are_small", "nulls_are_large", "nulls_are_last". Default: "nulls_are_small"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError. This is only relevant if unsupported_level is ErrorLevel.RAISE. Default: 3
leading_comma (bool): if the the comma is leading or trailing in select statements Default: False
max_text_width: The max number of characters in a segment before creating new lines in pretty mode. The default is on the smaller end because the length only represents a segment and not the true line length. Default: 80
comments: Whether or not to preserve comments in the output SQL code. Default: True

def values_sql(self, expression: sqlglot.expressions.Values) -> str: View Source

 97        def values_sql(self, expression: exp.Values) -> str:
 98            """
 99            Converts `VALUES...` expression into a series of unions.
100
101            Note: If you have a lot of unions then this will result in a large number of recursive statements to
102            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
103            very slow.
104            """
105            if not isinstance(expression.unnest().parent, exp.From):
106                return super().values_sql(expression)
107            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
108            selects = []
109            for i, row in enumerate(rows):
110                if i == 0 and expression.alias:
111                    row = [
112                        exp.alias_(value, column_name)
113                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
114                    ]
115                selects.append(exp.Select(expressions=row))
116            subquery_expression = selects[0]
117            if len(selects) > 1:
118                for select in selects[1:]:
119                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
120            return self.subquery_sql(subquery_expression.subquery(expression.alias))

Converts VALUES... expression into a series of unions.

Note: If you have a lot of unions then this will result in a large number of recursive statements to evaluate the expression. You may need to increase sys.setrecursionlimit to run and it can also be very slow.

def with_properties(self, properties: sqlglot.expressions.Properties) -> str: View Source

122        def with_properties(self, properties: exp.Properties) -> str:
123            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
124            return self.properties(properties, prefix=" ", suffix="")

Redshift doesn't have WITH as part of their with_properties so we remove it

def renametable_sql(self, expression: sqlglot.expressions.RenameTable) -> str: View Source

126        def renametable_sql(self, expression: exp.RenameTable) -> str:
127            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
128            expression = expression.copy()
129            target_table = expression.this
130            for arg in target_table.args:
131                if arg != "this":
132                    target_table.set(arg, None)
133            this = self.sql(expression, "this")
134            return f"RENAME TO {this}"

Redshift only supports defining the table name itself (not the db) when renaming tables

def datatype_sql(self, expression: sqlglot.expressions.DataType) -> str: View Source

136        def datatype_sql(self, expression: exp.DataType) -> str:
137            """
138            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
139            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
140            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
141            `TEXT` to `VARCHAR`.
142            """
143            if expression.this == exp.DataType.Type.TEXT:
144                expression = expression.copy()
145                expression.set("this", exp.DataType.Type.VARCHAR)
146                precision = expression.args.get("expressions")
147                if not precision:
148                    expression.append("expressions", exp.Var(this="MAX"))
149            return super().datatype_sql(expression)

Redshift converts the TEXT data type to VARCHAR(255) by default when people more generally mean VARCHAR of max length which is VARCHAR(max) in Redshift. Therefore if we get a TEXT data type without precision we convert it to VARCHAR(max) and if it does have precision then we just convert TEXT to VARCHAR.

Inherited Members

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