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

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

 13class Redshift(Postgres):
 14    time_format = "'YYYY-MM-DD HH:MI:SS'"
 15    time_mapping = {
 16        **Postgres.time_mapping,  # type: ignore
 17        "MON": "%b",
 18        "HH": "%H",
 19    }
 20
 21    class Parser(Postgres.Parser):
 22        FUNCTIONS = {
 23            **Postgres.Parser.FUNCTIONS,  # type: ignore
 24            "DATEADD": lambda args: exp.DateAdd(
 25                this=seq_get(args, 2),
 26                expression=seq_get(args, 1),
 27                unit=seq_get(args, 0),
 28            ),
 29            "DATEDIFF": lambda args: exp.DateDiff(
 30                this=seq_get(args, 2),
 31                expression=seq_get(args, 1),
 32                unit=seq_get(args, 0),
 33            ),
 34            "DECODE": exp.Matches.from_arg_list,
 35            "NVL": exp.Coalesce.from_arg_list,
 36        }
 37
 38        CONVERT_TYPE_FIRST = True
 39
 40        def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
 41            this = super()._parse_types(check_func=check_func)
 42
 43            if (
 44                isinstance(this, exp.DataType)
 45                and this.this == exp.DataType.Type.VARCHAR
 46                and this.expressions
 47                and this.expressions[0] == exp.column("MAX")
 48            ):
 49                this.set("expressions", [exp.Var(this="MAX")])
 50
 51            return this
 52
 53    class Tokenizer(Postgres.Tokenizer):
 54        STRING_ESCAPES = ["\\"]
 55
 56        KEYWORDS = {
 57            **Postgres.Tokenizer.KEYWORDS,  # type: ignore
 58            "GEOMETRY": TokenType.GEOMETRY,
 59            "GEOGRAPHY": TokenType.GEOGRAPHY,
 60            "HLLSKETCH": TokenType.HLLSKETCH,
 61            "SUPER": TokenType.SUPER,
 62            "TIME": TokenType.TIMESTAMP,
 63            "TIMETZ": TokenType.TIMESTAMPTZ,
 64            "TOP": TokenType.TOP,
 65            "UNLOAD": TokenType.COMMAND,
 66            "VARBYTE": TokenType.VARBINARY,
 67        }
 68
 69    class Generator(Postgres.Generator):
 70        TYPE_MAPPING = {
 71            **Postgres.Generator.TYPE_MAPPING,  # type: ignore
 72            exp.DataType.Type.BINARY: "VARBYTE",
 73            exp.DataType.Type.VARBINARY: "VARBYTE",
 74            exp.DataType.Type.INT: "INTEGER",
 75        }
 76
 77        PROPERTIES_LOCATION = {
 78            **Postgres.Generator.PROPERTIES_LOCATION,  # type: ignore
 79            exp.LikeProperty: exp.Properties.Location.POST_WITH,
 80        }
 81
 82        TRANSFORMS = {
 83            **Postgres.Generator.TRANSFORMS,  # type: ignore
 84            **transforms.ELIMINATE_DISTINCT_ON,  # type: ignore
 85            exp.DateAdd: lambda self, e: self.func(
 86                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 87            ),
 88            exp.DateDiff: lambda self, e: self.func(
 89                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
 90            ),
 91            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
 92            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
 93            exp.Matches: rename_func("DECODE"),
 94            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
 95        }
 96
 97        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 98        TRANSFORMS.pop(exp.Pow)
 99
100        def values_sql(self, expression: exp.Values) -> str:
101            """
102            Converts `VALUES...` expression into a series of unions.
103
104            Note: If you have a lot of unions then this will result in a large number of recursive statements to
105            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
106            very slow.
107            """
108            if not isinstance(expression.unnest().parent, exp.From):
109                return super().values_sql(expression)
110            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
111            selects = []
112            for i, row in enumerate(rows):
113                if i == 0 and expression.alias:
114                    row = [
115                        exp.alias_(value, column_name)
116                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
117                    ]
118                selects.append(exp.Select(expressions=row))
119            subquery_expression = selects[0]
120            if len(selects) > 1:
121                for select in selects[1:]:
122                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
123            return self.subquery_sql(subquery_expression.subquery(expression.alias))
124
125        def with_properties(self, properties: exp.Properties) -> str:
126            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
127            return self.properties(properties, prefix=" ", suffix="")
128
129        def renametable_sql(self, expression: exp.RenameTable) -> str:
130            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
131            expression = expression.copy()
132            target_table = expression.this
133            for arg in target_table.args:
134                if arg != "this":
135                    target_table.set(arg, None)
136            this = self.sql(expression, "this")
137            return f"RENAME TO {this}"
138
139        def datatype_sql(self, expression: exp.DataType) -> str:
140            """
141            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
142            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
143            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
144            `TEXT` to `VARCHAR`.
145            """
146            if expression.this == exp.DataType.Type.TEXT:
147                expression = expression.copy()
148                expression.set("this", exp.DataType.Type.VARCHAR)
149                precision = expression.args.get("expressions")
150                if not precision:
151                    expression.append("expressions", exp.Var(this="MAX"))
152            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

21    class Parser(Postgres.Parser):
22        FUNCTIONS = {
23            **Postgres.Parser.FUNCTIONS,  # type: ignore
24            "DATEADD": lambda args: exp.DateAdd(
25                this=seq_get(args, 2),
26                expression=seq_get(args, 1),
27                unit=seq_get(args, 0),
28            ),
29            "DATEDIFF": lambda args: exp.DateDiff(
30                this=seq_get(args, 2),
31                expression=seq_get(args, 1),
32                unit=seq_get(args, 0),
33            ),
34            "DECODE": exp.Matches.from_arg_list,
35            "NVL": exp.Coalesce.from_arg_list,
36        }
37
38        CONVERT_TYPE_FIRST = True
39
40        def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
41            this = super()._parse_types(check_func=check_func)
42
43            if (
44                isinstance(this, exp.DataType)
45                and this.this == exp.DataType.Type.VARCHAR
46                and this.expressions
47                and this.expressions[0] == exp.column("MAX")
48            ):
49                this.set("expressions", [exp.Var(this="MAX")])
50
51            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

53    class Tokenizer(Postgres.Tokenizer):
54        STRING_ESCAPES = ["\\"]
55
56        KEYWORDS = {
57            **Postgres.Tokenizer.KEYWORDS,  # type: ignore
58            "GEOMETRY": TokenType.GEOMETRY,
59            "GEOGRAPHY": TokenType.GEOGRAPHY,
60            "HLLSKETCH": TokenType.HLLSKETCH,
61            "SUPER": TokenType.SUPER,
62            "TIME": TokenType.TIMESTAMP,
63            "TIMETZ": TokenType.TIMESTAMPTZ,
64            "TOP": TokenType.TOP,
65            "UNLOAD": TokenType.COMMAND,
66            "VARBYTE": TokenType.VARBINARY,
67        }

Inherited Members

sqlglot.tokens.Tokenizer: reset; tokenize

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

 69    class Generator(Postgres.Generator):
 70        TYPE_MAPPING = {
 71            **Postgres.Generator.TYPE_MAPPING,  # type: ignore
 72            exp.DataType.Type.BINARY: "VARBYTE",
 73            exp.DataType.Type.VARBINARY: "VARBYTE",
 74            exp.DataType.Type.INT: "INTEGER",
 75        }
 76
 77        PROPERTIES_LOCATION = {
 78            **Postgres.Generator.PROPERTIES_LOCATION,  # type: ignore
 79            exp.LikeProperty: exp.Properties.Location.POST_WITH,
 80        }
 81
 82        TRANSFORMS = {
 83            **Postgres.Generator.TRANSFORMS,  # type: ignore
 84            **transforms.ELIMINATE_DISTINCT_ON,  # type: ignore
 85            exp.DateAdd: lambda self, e: self.func(
 86                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 87            ),
 88            exp.DateDiff: lambda self, e: self.func(
 89                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
 90            ),
 91            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
 92            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
 93            exp.Matches: rename_func("DECODE"),
 94            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
 95        }
 96
 97        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 98        TRANSFORMS.pop(exp.Pow)
 99
100        def values_sql(self, expression: exp.Values) -> str:
101            """
102            Converts `VALUES...` expression into a series of unions.
103
104            Note: If you have a lot of unions then this will result in a large number of recursive statements to
105            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
106            very slow.
107            """
108            if not isinstance(expression.unnest().parent, exp.From):
109                return super().values_sql(expression)
110            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
111            selects = []
112            for i, row in enumerate(rows):
113                if i == 0 and expression.alias:
114                    row = [
115                        exp.alias_(value, column_name)
116                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
117                    ]
118                selects.append(exp.Select(expressions=row))
119            subquery_expression = selects[0]
120            if len(selects) > 1:
121                for select in selects[1:]:
122                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
123            return self.subquery_sql(subquery_expression.subquery(expression.alias))
124
125        def with_properties(self, properties: exp.Properties) -> str:
126            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
127            return self.properties(properties, prefix=" ", suffix="")
128
129        def renametable_sql(self, expression: exp.RenameTable) -> str:
130            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
131            expression = expression.copy()
132            target_table = expression.this
133            for arg in target_table.args:
134                if arg != "this":
135                    target_table.set(arg, None)
136            this = self.sql(expression, "this")
137            return f"RENAME TO {this}"
138
139        def datatype_sql(self, expression: exp.DataType) -> str:
140            """
141            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
142            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
143            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
144            `TEXT` to `VARCHAR`.
145            """
146            if expression.this == exp.DataType.Type.TEXT:
147                expression = expression.copy()
148                expression.set("this", exp.DataType.Type.VARCHAR)
149                precision = expression.args.get("expressions")
150                if not precision:
151                    expression.append("expressions", exp.Var(this="MAX"))
152            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

100        def values_sql(self, expression: exp.Values) -> str:
101            """
102            Converts `VALUES...` expression into a series of unions.
103
104            Note: If you have a lot of unions then this will result in a large number of recursive statements to
105            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
106            very slow.
107            """
108            if not isinstance(expression.unnest().parent, exp.From):
109                return super().values_sql(expression)
110            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
111            selects = []
112            for i, row in enumerate(rows):
113                if i == 0 and expression.alias:
114                    row = [
115                        exp.alias_(value, column_name)
116                        for value, column_name in zip(row, expression.args["alias"].args["columns"])
117                    ]
118                selects.append(exp.Select(expressions=row))
119            subquery_expression = selects[0]
120            if len(selects) > 1:
121                for select in selects[1:]:
122                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
123            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

125        def with_properties(self, properties: exp.Properties) -> str:
126            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
127            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

129        def renametable_sql(self, expression: exp.RenameTable) -> str:
130            """Redshift only supports defining the table name itself (not the db) when renaming tables"""
131            expression = expression.copy()
132            target_table = expression.this
133            for arg in target_table.args:
134                if arg != "this":
135                    target_table.set(arg, None)
136            this = self.sql(expression, "this")
137            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

139        def datatype_sql(self, expression: exp.DataType) -> str:
140            """
141            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
142            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
143            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
144            `TEXT` to `VARCHAR`.
145            """
146            if expression.this == exp.DataType.Type.TEXT:
147                expression = expression.copy()
148                expression.set("this", exp.DataType.Type.VARCHAR)
149                precision = expression.args.get("expressions")
150                if not precision:
151                    expression.append("expressions", exp.Var(this="MAX"))
152            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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