import collections
import json
import re
from functools import partial
from itertools import chain

from django.core.exceptions import EmptyResultSet, FieldError, FullResultSet
from django.db import DatabaseError, NotSupportedError
from django.db.models.constants import LOOKUP_SEP
from django.db.models.expressions import ColPairs, F, OrderBy, RawSQL, Ref, Value
from django.db.models.fields import AutoField, composite
from django.db.models.functions import Cast, Random
from django.db.models.lookups import Lookup
from django.db.models.query_utils import select_related_descend
from django.db.models.sql.constants import (
    CURSOR,
    GET_ITERATOR_CHUNK_SIZE,
    MULTI,
    NO_RESULTS,
    ORDER_DIR,
    ROW_COUNT,
    SINGLE,
)
from django.db.models.sql.query import Query, get_order_dir
from django.db.transaction import TransactionManagementError
from django.utils.functional import cached_property
from django.utils.hashable import make_hashable
from django.utils.regex_helper import _lazy_re_compile


class PositionRef(Ref):
    def __init__(self, ordinal, refs, source):
        self.ordinal = ordinal
        super().__init__(refs, source)

    def as_sql(self, compiler, connection):
        return str(self.ordinal), ()


class SQLCompiler:
    # Multiline ordering SQL clause may appear from RawSQL.
    ordering_parts = _lazy_re_compile(
        r"^(.*)\s(?:ASC|DESC).*",
        re.MULTILINE | re.DOTALL,
    )

    def __init__(self, query, connection, using, elide_empty=True):
        self.query = query
        self.connection = connection
        self.using = using
        # Some queries, e.g. coalesced aggregation, need to be executed even if
        # they would return an empty result set.
        self.elide_empty = elide_empty
        self.quote_cache = {"*": "*"}
        # The select, klass_info, and annotations are needed by
        # QuerySet.iterator() these are set as a side-effect of executing the
        # query. Note that we calculate separately a list of extra select
        # columns needed for grammatical correctness of the query, but these
        # columns are not included in self.select.
        self.select = None
        self.annotation_col_map = None
        self.klass_info = None
        self._meta_ordering = None

    def __repr__(self):
        return (
            f"<{self.__class__.__qualname__} "
            f"model={self.query.model.__qualname__} "
            f"connection={self.connection!r} using={self.using!r}>"
        )

    def setup_query(self, with_col_aliases=False):
        if all(self.query.alias_refcount[a] == 0 for a in self.query.alias_map):
            self.query.get_initial_alias()
        self.select, self.klass_info, self.annotation_col_map = self.get_select(
            with_col_aliases=with_col_aliases,
        )
        self.col_count = len(self.select)

    def pre_sql_setup(self, with_col_aliases=False):
        """
        Do any necessary class setup immediately prior to producing SQL. This
        is for things that can't necessarily be done in __init__ because we
        might not have all the pieces in place at that time.
        """
        self.setup_query(with_col_aliases=with_col_aliases)
        order_by = self.get_order_by()
        self.where, self.having, self.qualify = self.query.where.split_having_qualify(
            must_group_by=self.query.group_by is not None
        )
        extra_select = self.get_extra_select(order_by, self.select)
        self.has_extra_select = bool(extra_select)
        group_by = self.get_group_by(self.select + extra_select, order_by)
        return extra_select, order_by, group_by

    def get_group_by(self, select, order_by):
        """
        Return a list of 2-tuples of form (sql, params).

        The logic of what exactly the GROUP BY clause contains is hard
        to describe in other words than "if it passes the test suite,
        then it is correct".
        """
        # Some examples:
        #     SomeModel.objects.annotate(Count('somecol'))
        #     GROUP BY: all fields of the model
        #
        #    SomeModel.objects.values('name').annotate(Count('somecol'))
        #    GROUP BY: name
        #
        #    SomeModel.objects.annotate(Count('somecol')).values('name')
        #    GROUP BY: all cols of the model
        #
        #    SomeModel.objects.values('name', 'pk')
        #    .annotate(Count('somecol')).values('pk')
        #    GROUP BY: name, pk
        #
        #    SomeModel.objects.values('name').annotate(Count('somecol')).values('pk')
        #    GROUP BY: name, pk
        #
        # In fact, the self.query.group_by is the minimal set to GROUP BY. It
        # can't be ever restricted to a smaller set, but additional columns in
        # HAVING, ORDER BY, and SELECT clauses are added to it. Unfortunately
        # the end result is that it is impossible to force the query to have
        # a chosen GROUP BY clause - you can almost do this by using the form:
        #     .values(*wanted_cols).annotate(AnAggregate())
        # but any later annotations, extra selects, values calls that
        # refer some column outside of the wanted_cols, order_by, or even
        # filter calls can alter the GROUP BY clause.

        # The query.group_by is either None (no GROUP BY at all), True
        # (group by select fields), or a list of expressions to be added
        # to the group by.
        if self.query.group_by is None:
            return []
        expressions = []
        group_by_refs = set()
        if self.query.group_by is not True:
            # If the group by is set to a list (by .values() call most likely),
            # then we need to add everything in it to the GROUP BY clause.
            # Backwards compatibility hack for setting query.group_by. Remove
            # when we have public API way of forcing the GROUP BY clause.
            # Converts string references to expressions.
            for expr in self.query.group_by:
                if not hasattr(expr, "as_sql"):
                    expr = self.query.resolve_ref(expr)
                if isinstance(expr, Ref):
                    if expr.refs not in group_by_refs:
                        group_by_refs.add(expr.refs)
                        expressions.append(expr.source)
                else:
                    expressions.append(expr)
        # Note that even if the group_by is set, it is only the minimal
        # set to group by. So, we need to add cols in select, order_by, and
        # having into the select in any case.
        selected_expr_positions = {}
        for ordinal, (expr, _, alias) in enumerate(select, start=1):
            if alias:
                selected_expr_positions[expr] = ordinal
            # Skip members of the select clause that are already explicitly
            # grouped against.
            if alias in group_by_refs:
                continue
            expressions.extend(expr.get_group_by_cols())
        if not self._meta_ordering:
            for expr, (sql, params, is_ref) in order_by:
                # Skip references to the SELECT clause, as all expressions in
                # the SELECT clause are already part of the GROUP BY.
                if not is_ref:
                    expressions.extend(expr.get_group_by_cols())
        having_group_by = self.having.get_group_by_cols() if self.having else ()
        for expr in having_group_by:
            expressions.append(expr)
        result = []
        seen = set()
        expressions = self.collapse_group_by(expressions, having_group_by)

        allows_group_by_select_index = (
            self.connection.features.allows_group_by_select_index
        )
        for expr in expressions:
            try:
                sql, params = self.compile(expr)
            except (EmptyResultSet, FullResultSet):
                continue
            if (
                allows_group_by_select_index
                and (position := selected_expr_positions.get(expr)) is not None
            ):
                sql, params = str(position), ()
            else:
                sql, params = expr.select_format(self, sql, params)
            params_hash = make_hashable(params)
            if (sql, params_hash) not in seen:
                result.append((sql, params))
                seen.add((sql, params_hash))
        return result

    def collapse_group_by(self, expressions, having):
        # If the database supports group by functional dependence reduction,
        # then the expressions can be reduced to the set of selected table
        # primary keys as all other columns are functionally dependent on them.
        if self.connection.features.allows_group_by_selected_pks:
            # Filter out all expressions associated with a table's primary key
            # present in the grouped columns. This is done by identifying all
            # tables that have their primary key included in the grouped
            # columns and removing non-primary key columns referring to them.
            # Unmanaged models are excluded because they could be representing
            # database views on which the optimization might not be allowed.
            pks = {
                expr
                for expr in expressions
                if (
                    hasattr(expr, "target")
                    and expr.target.primary_key
                    and self.connection.features.allows_group_by_selected_pks_on_model(
                        expr.target.model
                    )
                )
            }
            aliases = {expr.alias for expr in pks}
            expressions = [
                expr
                for expr in expressions
                if expr in pks
                or expr in having
                or getattr(expr, "alias", None) not in aliases
            ]
        return expressions

    def get_select(self, with_col_aliases=False):
        """
        Return three values:
        - a list of 3-tuples of (expression, (sql, params), alias)
        - a klass_info structure,
        - a dictionary of annotations

        The (sql, params) is what the expression will produce, and alias is the
        "AS alias" for the column (possibly None).

        The klass_info structure contains the following information:
        - The base model of the query.
        - Which columns for that model are present in the query (by
          position of the select clause).
        - related_klass_infos: [f, klass_info] to descent into

        The annotations is a dictionary of {'attname': column position} values.
        """
        select = []
        klass_info = None
        annotations = {}
        assert not (self.query.select and self.query.default_cols)
        select_mask = self.query.get_select_mask()
        if self.query.default_cols:
            cols = self.get_default_columns(select_mask)
        else:
            # self.query.select is a special case. These columns never go to
            # any model.
            cols = self.query.select
        selected = []
        select_fields = None
        if self.query.selected is None:
            selected = [
                *(
                    (alias, RawSQL(*args))
                    for alias, args in self.query.extra_select.items()
                ),
                *((None, col) for col in cols),
                *self.query.annotation_select.items(),
            ]
            select_fields = list(
                range(
                    len(self.query.extra_select),
                    len(self.query.extra_select) + len(cols),
                )
            )
        else:
            select_fields = []
            for index, (alias, expression) in enumerate(self.query.selected.items()):
                # Reference to an annotation.
                if isinstance(expression, str):
                    expression = self.query.annotations[expression]
                # Reference to a column.
                elif isinstance(expression, int):
                    select_fields.append(index)
                    expression = cols[expression]
                # ColPairs cannot be aliased.
                if isinstance(expression, ColPairs):
                    alias = None
                selected.append((alias, expression))
        if select_fields:
            klass_info = {"model": self.query.model, "select_fields": select_fields}

        for select_idx, (alias, expression) in enumerate(selected):
            if alias:
                annotations[alias] = select_idx
            select.append((expression, alias))

        if self.query.select_related:
            related_klass_infos = self.get_related_selections(select, select_mask)
            klass_info["related_klass_infos"] = related_klass_infos

            def get_select_from_parent(klass_info):
                for ki in klass_info["related_klass_infos"]:
                    if ki["from_parent"]:
                        ki["select_fields"] = (
                            klass_info["select_fields"] + ki["select_fields"]
                        )
                    get_select_from_parent(ki)

            get_select_from_parent(klass_info)

        ret = []
        col_idx = 1
        for col, alias in select:
            try:
                sql, params = self.compile(col)
            except EmptyResultSet:
                empty_result_set_value = getattr(
                    col, "empty_result_set_value", NotImplemented
                )
                if empty_result_set_value is NotImplemented:
                    # Select a predicate that's always False.
                    sql, params = "0", ()
                else:
                    sql, params = self.compile(Value(empty_result_set_value))
            except FullResultSet:
                sql, params = self.compile(Value(True))
            else:
                sql, params = col.select_format(self, sql, params)
            if alias is None and with_col_aliases:
                alias = f"col{col_idx}"
                col_idx += 1
            ret.append((col, (sql, params), alias))
        return ret, klass_info, annotations

    def _order_by_pairs(self):
        if self.query.extra_order_by:
            ordering = self.query.extra_order_by
        elif not self.query.default_ordering:
            ordering = self.query.order_by
        elif self.query.order_by:
            ordering = self.query.order_by
        elif (meta := self.query.get_meta()) and meta.ordering:
            ordering = meta.ordering
            self._meta_ordering = ordering
        else:
            ordering = []
        if self.query.standard_ordering:
            default_order, _ = ORDER_DIR["ASC"]
        else:
            default_order, _ = ORDER_DIR["DESC"]

        selected_exprs = {}
        # Avoid computing `selected_exprs` if there is no `ordering` as it's
        # relatively expensive.
        if ordering and (select := self.select):
            for ordinal, (expr, _, alias) in enumerate(select, start=1):
                pos_expr = PositionRef(ordinal, alias, expr)
                if alias:
                    selected_exprs[alias] = pos_expr
                selected_exprs[expr] = pos_expr

        for field in ordering:
            if hasattr(field, "resolve_expression"):
                if isinstance(field, Value):
                    # output_field must be resolved for constants.
                    field = Cast(field, field.output_field)
                if not isinstance(field, OrderBy):
                    field = field.asc()
                if not self.query.standard_ordering:
                    field = field.copy()
                    field.reverse_ordering()
                select_ref = selected_exprs.get(field.expression)
                if select_ref or (
                    isinstance(field.expression, F)
                    and (select_ref := selected_exprs.get(field.expression.name))
                ):
                    # Emulation of NULLS (FIRST|LAST) cannot be combined with
                    # the usage of ordering by position.
                    if (
                        field.nulls_first is None and field.nulls_last is None
                    ) or self.connection.features.supports_order_by_nulls_modifier:
                        field = field.copy()
                        field.expression = select_ref
                    # Alias collisions are not possible when dealing with
                    # combined queries so fallback to it if emulation of NULLS
                    # handling is required.
                    elif self.query.combinator:
                        field = field.copy()
                        field.expression = Ref(select_ref.refs, select_ref.source)
                yield field, select_ref is not None
                continue
            if field == "?":  # random
                yield OrderBy(Random()), False
                continue

            col, order = get_order_dir(field, default_order)
            descending = order == "DESC"

            if select_ref := selected_exprs.get(col):
                # Reference to expression in SELECT clause
                yield (
                    OrderBy(
                        select_ref,
                        descending=descending,
                    ),
                    True,
                )
                continue

            if expr := self.query.annotations.get(col):
                ref = col
                transforms = []
            else:
                ref, *transforms = col.split(LOOKUP_SEP)
                expr = self.query.annotations.get(ref)
            if expr:
                if self.query.combinator and self.select:
                    if transforms:
                        raise NotImplementedError(
                            "Ordering combined queries by transforms is not "
                            "implemented."
                        )
                    # Don't use the resolved annotation because other
                    # combined queries might define it differently.
                    expr = F(ref)
                if transforms:
                    for name in transforms:
                        expr = self.query.try_transform(expr, name)
                if isinstance(expr, Value):
                    # output_field must be resolved for constants.
                    expr = Cast(expr, expr.output_field)
                yield OrderBy(expr, descending=descending), False
                continue

            if "." in field and field in self.query.extra_order_by:
                # This came in through an extra(order_by=...) addition. Pass it
                # on verbatim.
                table, col = col.split(".", 1)
                yield (
                    OrderBy(
                        RawSQL(
                            "%s.%s" % (self.quote_name_unless_alias(table), col), []
                        ),
                        descending=descending,
                    ),
                    False,
                )
                continue

            if self.query.extra and col in self.query.extra:
                if col in self.query.extra_select:
                    yield (
                        OrderBy(
                            Ref(col, RawSQL(*self.query.extra[col])),
                            descending=descending,
                        ),
                        True,
                    )
                else:
                    yield (
                        OrderBy(RawSQL(*self.query.extra[col]), descending=descending),
                        False,
                    )
            else:
                if self.query.combinator and self.select:
                    # Don't use the first model's field because other
                    # combinated queries might define it differently.
                    yield OrderBy(F(col), descending=descending), False
                else:
                    # 'col' is of the form 'field' or 'field1__field2' or
                    # '-field1__field2__field', etc.
                    yield from self.find_ordering_name(
                        field,
                        self.query.get_meta(),
                        default_order=default_order,
                    )

    def get_order_by(self):
        """
        Return a list of 2-tuples of the form (expr, (sql, params, is_ref)) for
        the ORDER BY clause.

        The order_by clause can alter the select clause (for example it can add
        aliases to clauses that do not yet have one, or it can add totally new
        select clauses).
        """
        result = []
        seen = set()
        for expr, is_ref in self._order_by_pairs():
            resolved = expr.resolve_expression(self.query, allow_joins=True, reuse=None)
            if not is_ref and self.query.combinator and self.select:
                src = resolved.expression
                expr_src = expr.expression
                for sel_expr, _, col_alias in self.select:
                    if src == sel_expr:
                        # When values() is used the exact alias must be used to
                        # reference annotations.
                        if (
                            self.query.has_select_fields
                            and col_alias in self.query.annotation_select
                            and not (
                                isinstance(expr_src, F) and col_alias == expr_src.name
                            )
                        ):
                            continue
                        resolved.set_source_expressions(
                            [Ref(col_alias if col_alias else src.target.column, src)]
                        )
                        break
                else:
                    # Add column used in ORDER BY clause to the selected
                    # columns and to each combined query.
                    order_by_idx = len(self.query.select) + 1
                    col_alias = f"__orderbycol{order_by_idx}"
                    for q in self.query.combined_queries:
                        # If fields were explicitly selected through values()
                        # combined queries cannot be augmented.
                        if q.has_select_fields:
                            raise DatabaseError(
                                "ORDER BY term does not match any column in "
                                "the result set."
                            )
                        q.add_annotation(expr_src, col_alias)
                    self.query.add_select_col(resolved, col_alias)
                    resolved.set_source_expressions([Ref(col_alias, src)])
            sql, params = self.compile(resolved)
            # Don't add the same column twice, but the order direction is
            # not taken into account so we strip it. When this entire method
            # is refactored into expressions, then we can check each part as we
            # generate it.
            without_ordering = self.ordering_parts.search(sql)[1]
            params_hash = make_hashable(params)
            if (without_ordering, params_hash) in seen:
                continue
            seen.add((without_ordering, params_hash))
            result.append((resolved, (sql, params, is_ref)))
        return result

    def get_extra_select(self, order_by, select):
        extra_select = []
        if self.query.distinct and not self.query.distinct_fields:
            select_sql = [t[1] for t in select]
            for expr, (sql, params, is_ref) in order_by:
                without_ordering = self.ordering_parts.search(sql)[1]
                if not is_ref and (without_ordering, params) not in select_sql:
                    extra_select.append((expr, (without_ordering, params), None))
        return extra_select

    def quote_name_unless_alias(self, name):
        """
        A wrapper around connection.ops.quote_name that doesn't quote aliases
        for table names. This avoids problems with some SQL dialects that treat
        quoted strings specially (e.g. PostgreSQL).
        """
        if name in self.quote_cache:
            return self.quote_cache[name]
        if (
            (name in self.query.alias_map and name not in self.query.table_map)
            or name in self.query.extra_select
            or (
                self.query.external_aliases.get(name)
                and name not in self.query.table_map
            )
        ):
            self.quote_cache[name] = name
            return name
        r = self.connection.ops.quote_name(name)
        self.quote_cache[name] = r
        return r

    def compile(self, node):
        vendor_impl = getattr(node, "as_" + self.connection.vendor, None)
        if vendor_impl:
            sql, params = vendor_impl(self, self.connection)
        else:
            sql, params = node.as_sql(self, self.connection)
        return sql, params

    def get_combinator_sql(self, combinator, all):
        features = self.connection.features
        compilers = [
            query.get_compiler(self.using, self.connection, self.elide_empty)
            for query in self.query.combined_queries
        ]
        if not features.supports_slicing_ordering_in_compound:
            for compiler in compilers:
                if compiler.query.is_sliced:
                    raise DatabaseError(
                        "LIMIT/OFFSET not allowed in subqueries of compound statements."
                    )
                if compiler.get_order_by():
                    raise DatabaseError(
                        "ORDER BY not allowed in subqueries of compound statements."
                    )
        parts = []
        empty_compiler = None
        for compiler in compilers:
            try:
                parts.append(self._get_combinator_part_sql(compiler))
            except EmptyResultSet:
                # Omit the empty queryset with UNION and with DIFFERENCE if the
                # first queryset is nonempty.
                if combinator == "union" or (combinator == "difference" and parts):
                    empty_compiler = compiler
                    continue
                raise
        if not parts:
            raise EmptyResultSet
        elif len(parts) == 1 and combinator == "union" and self.query.is_sliced:
            # A sliced union cannot be composed of a single component because
            # in the event the later is also sliced it might result in invalid
            # SQL due to the usage of multiple LIMIT clauses. Prevent that from
            # happening by always including an empty resultset query to force
            # the creation of an union.
            empty_compiler.elide_empty = False
            parts.append(self._get_combinator_part_sql(empty_compiler))
        combinator_sql = self.connection.ops.set_operators[combinator]
        if all and combinator == "union":
            combinator_sql += " ALL"
        braces = "{}"
        if not self.query.subquery and features.supports_slicing_ordering_in_compound:
            braces = "({})"
        sql_parts, args_parts = zip(
            *((braces.format(sql), args) for sql, args in parts)
        )
        result = [" {} ".format(combinator_sql).join(sql_parts)]
        params = []
        for part in args_parts:
            params.extend(part)
        return result, params

    def _get_combinator_part_sql(self, compiler):
        features = self.connection.features
        # If the columns list is limited, then all combined queries
        # must have the same columns list. Set the selects defined on
        # the query on all combined queries, if not already set.
        selected = self.query.selected
        if selected is not None and compiler.query.selected is None:
            compiler.query = compiler.query.clone()
            compiler.query.set_values(selected)
        part_sql, part_args = compiler.as_sql(with_col_aliases=True)
        if compiler.query.combinator:
            # Wrap in a subquery if wrapping in parentheses isn't
            # supported.
            if not features.supports_parentheses_in_compound:
                part_sql = "SELECT * FROM ({})".format(part_sql)
            # Add parentheses when combining with compound query if not
            # already added for all compound queries.
            elif (
                self.query.subquery
                or not features.supports_slicing_ordering_in_compound
            ):
                part_sql = "({})".format(part_sql)
        elif self.query.subquery and features.supports_slicing_ordering_in_compound:
            part_sql = "({})".format(part_sql)
        return part_sql, part_args

    def get_qualify_sql(self):
        where_parts = []
        if self.where:
            where_parts.append(self.where)
        if self.having:
            where_parts.append(self.having)
        inner_query = self.query.clone()
        inner_query.subquery = True
        inner_query.where = inner_query.where.__class__(where_parts)
        # Augment the inner query with any window function references that
        # might have been masked via values() and alias(). If any masked
        # aliases are added they'll be masked again to avoid fetching
        # the data in the `if qual_aliases` branch below.
        select = {
            expr: alias for expr, _, alias in self.get_select(with_col_aliases=True)[0]
        }
        select_aliases = set(select.values())
        qual_aliases = set()
        replacements = {}

        def collect_replacements(expressions):
            while expressions:
                expr = expressions.pop()
                if expr in replacements:
                    continue
                elif select_alias := select.get(expr):
                    replacements[expr] = select_alias
                elif isinstance(expr, Lookup):
                    expressions.extend(expr.get_source_expressions())
                elif isinstance(expr, Ref):
                    if expr.refs not in select_aliases:
                        expressions.extend(expr.get_source_expressions())
                else:
                    num_qual_alias = len(qual_aliases)
                    select_alias = f"qual{num_qual_alias}"
                    qual_aliases.add(select_alias)
                    inner_query.add_annotation(expr, select_alias)
                    replacements[expr] = select_alias

        collect_replacements(list(self.qualify.leaves()))
        self.qualify = self.qualify.replace_expressions(
            {expr: Ref(alias, expr) for expr, alias in replacements.items()}
        )
        order_by = []
        for order_by_expr, *_ in self.get_order_by():
            collect_replacements(order_by_expr.get_source_expressions())
            order_by.append(
                order_by_expr.replace_expressions(
                    {expr: Ref(alias, expr) for expr, alias in replacements.items()}
                )
            )
        inner_query_compiler = inner_query.get_compiler(
            self.using, connection=self.connection, elide_empty=self.elide_empty
        )
        inner_sql, inner_params = inner_query_compiler.as_sql(
            # The limits must be applied to the outer query to avoid pruning
            # results too eagerly.
            with_limits=False,
            # Force unique aliasing of selected columns to avoid collisions
            # and make rhs predicates referencing easier.
            with_col_aliases=True,
        )
        qualify_sql, qualify_params = self.compile(self.qualify)
        result = [
            "SELECT * FROM (",
            inner_sql,
            ")",
            self.connection.ops.quote_name("qualify"),
            "WHERE",
            qualify_sql,
        ]
        if qual_aliases:
            # If some select aliases were unmasked for filtering purposes they
            # must be masked back.
            cols = [self.connection.ops.quote_name(alias) for alias in select.values()]
            result = [
                "SELECT",
                ", ".join(cols),
                "FROM (",
                *result,
                ")",
                self.connection.ops.quote_name("qualify_mask"),
            ]
        params = list(inner_params) + qualify_params
        # As the SQL spec is unclear on whether or not derived tables
        # ordering must propagate it has to be explicitly repeated on the
        # outer-most query to ensure it's preserved.
        if order_by:
            ordering_sqls = []
            for ordering in order_by:
                ordering_sql, ordering_params = self.compile(ordering)
                ordering_sqls.append(ordering_sql)
                params.extend(ordering_params)
            result.extend(["ORDER BY", ", ".join(ordering_sqls)])
        return result, params

    def as_sql(self, with_limits=True, with_col_aliases=False):
        """
        Create the SQL for this query. Return the SQL string and list of
        parameters.

        If 'with_limits' is False, any limit/offset information is not included
        in the query.
        """
        refcounts_before = self.query.alias_refcount.copy()
        try:
            combinator = self.query.combinator
            extra_select, order_by, group_by = self.pre_sql_setup(
                with_col_aliases=with_col_aliases or bool(combinator),
            )
            for_update_part = None
            # Is a LIMIT/OFFSET clause needed?
            with_limit_offset = with_limits and self.query.is_sliced
            combinator = self.query.combinator
            features = self.connection.features
            if combinator:
                if not getattr(features, "supports_select_{}".format(combinator)):
                    raise NotSupportedError(
                        "{} is not supported on this database backend.".format(
                            combinator
                        )
                    )
                result, params = self.get_combinator_sql(
                    combinator, self.query.combinator_all
                )
            elif self.qualify:
                result, params = self.get_qualify_sql()
                order_by = None
            else:
                distinct_fields, distinct_params = self.get_distinct()
                # This must come after 'select', 'ordering', and 'distinct'
                # (see docstring of get_from_clause() for details).
                from_, f_params = self.get_from_clause()
                try:
                    where, w_params = (
                        self.compile(self.where) if self.where is not None else ("", [])
                    )
                except EmptyResultSet:
                    if self.elide_empty:
                        raise
                    # Use a predicate that's always False.
                    where, w_params = "0 = 1", []
                except FullResultSet:
                    where, w_params = "", []
                try:
                    having, h_params = (
                        self.compile(self.having)
                        if self.having is not None
                        else ("", [])
                    )
                except FullResultSet:
                    having, h_params = "", []
                result = ["SELECT"]
                params = []

                if self.query.distinct:
                    distinct_result, distinct_params = self.connection.ops.distinct_sql(
                        distinct_fields,
                        distinct_params,
                    )
                    result += distinct_result
                    params += distinct_params

                out_cols = []
                for _, (s_sql, s_params), alias in self.select + extra_select:
                    if alias:
                        s_sql = "%s AS %s" % (
                            s_sql,
                            self.connection.ops.quote_name(alias),
                        )
                    params.extend(s_params)
                    out_cols.append(s_sql)

                result += [", ".join(out_cols)]
                if from_:
                    result += ["FROM", *from_]
                elif self.connection.features.bare_select_suffix:
                    result += [self.connection.features.bare_select_suffix]
                params.extend(f_params)

                if self.query.select_for_update and features.has_select_for_update:
                    if (
                        self.connection.get_autocommit()
                        # Don't raise an exception when database doesn't
                        # support transactions, as it's a noop.
                        and features.supports_transactions
                    ):
                        raise TransactionManagementError(
                            "select_for_update cannot be used outside of a transaction."
                        )

                    if (
                        with_limit_offset
                        and not features.supports_select_for_update_with_limit
                    ):
                        raise NotSupportedError(
                            "LIMIT/OFFSET is not supported with "
                            "select_for_update on this database backend."
                        )
                    nowait = self.query.select_for_update_nowait
                    skip_locked = self.query.select_for_update_skip_locked
                    of = self.query.select_for_update_of
                    no_key = self.query.select_for_no_key_update
                    # If it's a NOWAIT/SKIP LOCKED/OF/NO KEY query but the
                    # backend doesn't support it, raise NotSupportedError to
                    # prevent a possible deadlock.
                    if nowait and not features.has_select_for_update_nowait:
                        raise NotSupportedError(
                            "NOWAIT is not supported on this database backend."
                        )
                    elif skip_locked and not features.has_select_for_update_skip_locked:
                        raise NotSupportedError(
                            "SKIP LOCKED is not supported on this database backend."
                        )
                    elif of and not features.has_select_for_update_of:
                        raise NotSupportedError(
                            "FOR UPDATE OF is not supported on this database backend."
                        )
                    elif no_key and not features.has_select_for_no_key_update:
                        raise NotSupportedError(
                            "FOR NO KEY UPDATE is not supported on this "
                            "database backend."
                        )
                    for_update_part = self.connection.ops.for_update_sql(
                        nowait=nowait,
                        skip_locked=skip_locked,
                        of=self.get_select_for_update_of_arguments(),
                        no_key=no_key,
                    )

                if for_update_part and features.for_update_after_from:
                    result.append(for_update_part)

                if where:
                    result.append("WHERE %s" % where)
                    params.extend(w_params)

                grouping = []
                for g_sql, g_params in group_by:
                    grouping.append(g_sql)
                    params.extend(g_params)
                if grouping:
                    if distinct_fields:
                        raise NotImplementedError(
                            "annotate() + distinct(fields) is not implemented."
                        )
                    order_by = order_by or self.connection.ops.force_no_ordering()
                    result.append("GROUP BY %s" % ", ".join(grouping))
                    if self._meta_ordering:
                        order_by = None
                if having:
                    if not grouping:
                        result.extend(self.connection.ops.force_group_by())
                    result.append("HAVING %s" % having)
                    params.extend(h_params)

            if self.query.explain_info:
                result.insert(
                    0,
                    self.connection.ops.explain_query_prefix(
                        self.query.explain_info.format,
                        **self.query.explain_info.options,
                    ),
                )

            if order_by:
                ordering = []
                for _, (o_sql, o_params, _) in order_by:
                    ordering.append(o_sql)
                    params.extend(o_params)
                order_by_sql = "ORDER BY %s" % ", ".join(ordering)
                if combinator and features.requires_compound_order_by_subquery:
                    result = ["SELECT * FROM (", *result, ")", order_by_sql]
                else:
                    result.append(order_by_sql)

            if with_limit_offset:
                result.append(
                    self.connection.ops.limit_offset_sql(
                        self.query.low_mark, self.query.high_mark
                    )
                )

            if for_update_part and not features.for_update_after_from:
                result.append(for_update_part)

            if self.query.subquery and extra_select:
                # If the query is used as a subquery, the extra selects would
                # result in more columns than the left-hand side expression is
                # expecting. This can happen when a subquery uses a combination
                # of order_by() and distinct(), forcing the ordering
                # expressions to be selected as well. Wrap the query in another
                # subquery to exclude extraneous selects.
                sub_selects = []
                sub_params = []
                for index, (select, _, alias) in enumerate(self.select, start=1):
                    if alias:
                        sub_selects.append(
                            "%s.%s"
                            % (
                                self.connection.ops.quote_name("subquery"),
                                self.connection.ops.quote_name(alias),
                            )
                        )
                    else:
                        select_clone = select.relabeled_clone(
                            {select.alias: "subquery"}
                        )
                        subselect, subparams = select_clone.as_sql(
                            self, self.connection
                        )
                        sub_selects.append(subselect)
                        sub_params.extend(subparams)
                return "SELECT %s FROM (%s) subquery" % (
                    ", ".join(sub_selects),
                    " ".join(result),
                ), tuple(sub_params + params)

            return " ".join(result), tuple(params)
        finally:
            # Finally do cleanup - get rid of the joins we created above.
            self.query.reset_refcounts(refcounts_before)

    def get_default_columns(
        self, select_mask, start_alias=None, opts=None, from_parent=None
    ):
        """
        Compute the default columns for selecting every field in the base
        model. Will sometimes be called to pull in related models (e.g. via
        select_related), in which case "opts" and "start_alias" will be given
        to provide a starting point for the traversal.

        Return a list of strings, quoted appropriately for use in SQL
        directly, as well as a set of aliases used in the select statement (if
        'as_pairs' is True, return a list of (alias, col_name) pairs instead
        of strings as the first component and None as the second component).
        """
        result = []
        if opts is None:
            if (opts := self.query.get_meta()) is None:
                return result
        start_alias = start_alias or self.query.get_initial_alias()
        # The 'seen_models' is used to optimize checking the needed parent
        # alias for a given field. This also includes None -> start_alias to
        # be used by local fields.
        seen_models = {None: start_alias}
        select_mask_fields = set(composite.unnest(select_mask))

        for field in opts.concrete_fields:
            model = field.model._meta.concrete_model
            # A proxy model will have a different model and concrete_model. We
            # will assign None if the field belongs to this model.
            if model == opts.model:
                model = None
            if (
                from_parent
                and model is not None
                and issubclass(
                    from_parent._meta.concrete_model, model._meta.concrete_model
                )
            ):
                # Avoid loading data for already loaded parents.
                # We end up here in the case select_related() resolution
                # proceeds from parent model to child model. In that case the
                # parent model data is already present in the SELECT clause,
                # and we want to avoid reloading the same data again.
                continue
            if select_mask and field not in select_mask_fields:
                continue
            alias = self.query.join_parent_model(opts, model, start_alias, seen_models)
            column = field.get_col(alias)
            result.append(column)
        return result

    def get_distinct(self):
        """
        Return a quoted list of fields to use in DISTINCT ON part of the query.

        This method can alter the tables in the query, and thus it must be
        called before get_from_clause().
        """
        result = []
        params = []
        opts = self.query.get_meta()

        for name in self.query.distinct_fields:
            parts = name.split(LOOKUP_SEP)
            _, targets, alias, joins, path, _, transform_function = self._setup_joins(
                parts, opts, None
            )
            targets, alias, _ = self.query.trim_joins(targets, joins, path)
            for target in targets:
                if name in self.query.annotation_select:
                    result.append(self.connection.ops.quote_name(name))
                else:
                    r, p = self.compile(transform_function(target, alias))
                    result.append(r)
                    params.append(p)
        return result, params

    def find_ordering_name(
        self, name, opts, alias=None, default_order="ASC", already_seen=None
    ):
        """
        Return the table alias (the name might be ambiguous, the alias will
        not be) and column name for ordering by the given 'name' parameter.
        The 'name' is of the form 'field1__field2__...__fieldN'.
        """
        name, order = get_order_dir(name, default_order)
        descending = order == "DESC"
        pieces = name.split(LOOKUP_SEP)
        (
            field,
            targets,
            alias,
            joins,
            path,
            opts,
            transform_function,
        ) = self._setup_joins(pieces, opts, alias)

        # If we get to this point and the field is a relation to another model,
        # append the default ordering for that model unless it is the pk
        # shortcut or the attribute name of the field that is specified or
        # there are transforms to process.
        if (
            field.is_relation
            and opts.ordering
            and getattr(field, "attname", None) != pieces[-1]
            and name != "pk"
            and not getattr(transform_function, "has_transforms", False)
        ):
            # Firstly, avoid infinite loops.
            already_seen = already_seen or set()
            join_tuple = tuple(
                getattr(self.query.alias_map[j], "join_cols", None) for j in joins
            )
            if join_tuple in already_seen:
                raise FieldError("Infinite loop caused by ordering.")
            already_seen.add(join_tuple)

            results = []
            for item in opts.ordering:
                if hasattr(item, "resolve_expression") and not isinstance(
                    item, OrderBy
                ):
                    item = item.desc() if descending else item.asc()
                if isinstance(item, OrderBy):
                    results.append(
                        (item.prefix_references(f"{name}{LOOKUP_SEP}"), False)
                    )
                    continue
                results.extend(
                    (expr.prefix_references(f"{name}{LOOKUP_SEP}"), is_ref)
                    for expr, is_ref in self.find_ordering_name(
                        item, opts, alias, order, already_seen
                    )
                )
            return results
        targets, alias, _ = self.query.trim_joins(targets, joins, path)
        return [
            (OrderBy(transform_function(t, alias), descending=descending), False)
            for t in targets
        ]

    def _setup_joins(self, pieces, opts, alias):
        """
        Helper method for get_order_by() and get_distinct().

        get_ordering() and get_distinct() must produce same target columns on
        same input, as the prefixes of get_ordering() and get_distinct() must
        match. Executing SQL where this is not true is an error.
        """
        alias = alias or self.query.get_initial_alias()
        field, targets, opts, joins, path, transform_function = self.query.setup_joins(
            pieces, opts, alias
        )
        alias = joins[-1]
        return field, targets, alias, joins, path, opts, transform_function

    def get_from_clause(self):
        """
        Return a list of strings that are joined together to go after the
        "FROM" part of the query, as well as a list any extra parameters that
        need to be included. Subclasses, can override this to create a
        from-clause via a "select".

        This should only be called after any SQL construction methods that
        might change the tables that are needed. This means the select columns,
        ordering, and distinct must be done first.
        """
        result = []
        params = []
        # Copy alias_map to a tuple in case Join.as_sql() subclasses (objects
        # in alias_map) alter compiler.query.alias_map. That would otherwise
        # raise "RuntimeError: dictionary changed size during iteration".
        for alias, from_clause in tuple(self.query.alias_map.items()):
            if not self.query.alias_refcount[alias]:
                continue
            clause_sql, clause_params = self.compile(from_clause)
            result.append(clause_sql)
            params.extend(clause_params)
        for t in self.query.extra_tables:
            alias, _ = self.query.table_alias(t)
            # Only add the alias if it's not already present (the table_alias()
            # call increments the refcount, so an alias refcount of one means
            # this is the only reference).
            if (
                alias not in self.query.alias_map
                or self.query.alias_refcount[alias] == 1
            ):
                result.append(", %s" % self.quote_name_unless_alias(alias))
        return result, params

    def get_related_selections(
        self,
        select,
        select_mask,
        opts=None,
        root_alias=None,
        cur_depth=1,
        requested=None,
        restricted=None,
    ):
        """
        Fill in the information needed for a select_related query. The current
        depth is measured as the number of connections away from the root model
        (for example, cur_depth=1 means we are looking at models with direct
        connections to the root model).
        """

        def _get_field_choices():
            direct_choices = (f.name for f in opts.fields if f.is_relation)
            reverse_choices = (
                f.field.related_query_name()
                for f in opts.related_objects
                if f.field.unique
            )
            return chain(
                direct_choices, reverse_choices, self.query._filtered_relations
            )

        related_klass_infos = []
        if not restricted and cur_depth > self.query.max_depth:
            # We've recursed far enough; bail out.
            return related_klass_infos

        if not opts:
            opts = self.query.get_meta()
            root_alias = self.query.get_initial_alias()

        # Setup for the case when only particular related fields should be
        # included in the related selection.
        fields_found = set()
        if requested is None:
            restricted = isinstance(self.query.select_related, dict)
            if restricted:
                requested = self.query.select_related

        def get_related_klass_infos(klass_info, related_klass_infos):
            klass_info["related_klass_infos"] = related_klass_infos

        for f in opts.fields:
            fields_found.add(f.name)

            if restricted:
                next = requested.get(f.name, {})
                if not f.is_relation:
                    # If a non-related field is used like a relation,
                    # or if a single non-relational field is given.
                    if next or f.name in requested:
                        raise FieldError(
                            "Non-relational field given in select_related: '%s'. "
                            "Choices are: %s"
                            % (
                                f.name,
                                ", ".join(_get_field_choices()) or "(none)",
                            )
                        )
            else:
                next = False

            if not select_related_descend(f, restricted, requested, select_mask):
                continue
            related_select_mask = select_mask.get(f) or {}
            klass_info = {
                "model": f.remote_field.model,
                "field": f,
                "reverse": False,
                "local_setter": f.set_cached_value,
                "remote_setter": (
                    f.remote_field.set_cached_value if f.unique else lambda x, y: None
                ),
                "from_parent": False,
            }
            related_klass_infos.append(klass_info)
            select_fields = []
            _, _, _, joins, _, _ = self.query.setup_joins([f.name], opts, root_alias)
            alias = joins[-1]
            columns = self.get_default_columns(
                related_select_mask, start_alias=alias, opts=f.remote_field.model._meta
            )
            for col in columns:
                select_fields.append(len(select))
                select.append((col, None))
            klass_info["select_fields"] = select_fields
            next_klass_infos = self.get_related_selections(
                select,
                related_select_mask,
                f.remote_field.model._meta,
                alias,
                cur_depth + 1,
                next,
                restricted,
            )
            get_related_klass_infos(klass_info, next_klass_infos)

        if restricted:
            related_fields = [
                (o, o.field, o.related_model)
                for o in opts.related_objects
                if o.field.unique and not o.many_to_many
            ]
            for related_object, related_field, model in related_fields:
                if not select_related_descend(
                    related_object,
                    restricted,
                    requested,
                    select_mask,
                ):
                    continue

                related_select_mask = select_mask.get(related_object) or {}
                related_field_name = related_field.related_query_name()
                fields_found.add(related_field_name)

                join_info = self.query.setup_joins(
                    [related_field_name], opts, root_alias
                )
                alias = join_info.joins[-1]
                from_parent = issubclass(model, opts.model) and model is not opts.model
                klass_info = {
                    "model": model,
                    "field": related_field,
                    "reverse": True,
                    "local_setter": related_object.set_cached_value,
                    "remote_setter": related_field.set_cached_value,
                    "from_parent": from_parent,
                }
                related_klass_infos.append(klass_info)
                select_fields = []
                columns = self.get_default_columns(
                    related_select_mask,
                    start_alias=alias,
                    opts=model._meta,
                    from_parent=opts.model,
                )
                for col in columns:
                    select_fields.append(len(select))
                    select.append((col, None))
                klass_info["select_fields"] = select_fields
                next = requested.get(related_field_name, {})
                next_klass_infos = self.get_related_selections(
                    select,
                    related_select_mask,
                    model._meta,
                    alias,
                    cur_depth + 1,
                    next,
                    restricted,
                )
                get_related_klass_infos(klass_info, next_klass_infos)

            def local_setter(final_field, obj, from_obj):
                # Set a reverse fk object when relation is non-empty.
                if from_obj:
                    final_field.remote_field.set_cached_value(from_obj, obj)

            def local_setter_noop(obj, from_obj):
                pass

            def remote_setter(name, obj, from_obj):
                setattr(from_obj, name, obj)

            for name in list(requested):
                # Filtered relations work only on the topmost level.
                if cur_depth > 1:
                    break
                if name in self.query._filtered_relations:
                    fields_found.add(name)
                    final_field, _, join_opts, joins, _, _ = self.query.setup_joins(
                        [name], opts, root_alias
                    )
                    model = join_opts.model
                    alias = joins[-1]
                    from_parent = (
                        issubclass(model, opts.model) and model is not opts.model
                    )
                    klass_info = {
                        "model": model,
                        "field": final_field,
                        "reverse": True,
                        "local_setter": (
                            partial(local_setter, final_field)
                            if len(joins) <= 2
                            else local_setter_noop
                        ),
                        "remote_setter": partial(remote_setter, name),
                        "from_parent": from_parent,
                    }
                    related_klass_infos.append(klass_info)
                    select_fields = []
                    field_select_mask = select_mask.get((name, final_field)) or {}
                    columns = self.get_default_columns(
                        field_select_mask,
                        start_alias=alias,
                        opts=model._meta,
                        from_parent=opts.model,
                    )
                    for col in columns:
                        select_fields.append(len(select))
                        select.append((col, None))
                    klass_info["select_fields"] = select_fields
                    next_requested = requested.get(name, {})
                    next_klass_infos = self.get_related_selections(
                        select,
                        field_select_mask,
                        opts=model._meta,
                        root_alias=alias,
                        cur_depth=cur_depth + 1,
                        requested=next_requested,
                        restricted=restricted,
                    )
                    get_related_klass_infos(klass_info, next_klass_infos)
            fields_not_found = set(requested).difference(fields_found)
            if fields_not_found:
                invalid_fields = ("'%s'" % s for s in fields_not_found)
                raise FieldError(
                    "Invalid field name(s) given in select_related: %s. "
                    "Choices are: %s"
                    % (
                        ", ".join(invalid_fields),
                        ", ".join(_get_field_choices()) or "(none)",
                    )
                )
        return related_klass_infos

    def get_select_for_update_of_arguments(self):
        """
        Return a quoted list of arguments for the SELECT FOR UPDATE OF part of
        the query.
        """

        def _get_parent_klass_info(klass_info):
            concrete_model = klass_info["model"]._meta.concrete_model
            for parent_model, parent_link in concrete_model._meta.parents.items():
                all_parents = parent_model._meta.all_parents
                yield {
                    "model": parent_model,
                    "field": parent_link,
                    "reverse": False,
                    "select_fields": [
                        select_index
                        for select_index in klass_info["select_fields"]
                        # Selected columns from a model or its parents.
                        if (
                            self.select[select_index][0].target.model == parent_model
                            or self.select[select_index][0].target.model in all_parents
                        )
                    ],
                }

        def _get_first_selected_col_from_model(klass_info):
            """
            Find the first selected column from a model. If it doesn't exist,
            don't lock a model.

            select_fields is filled recursively, so it also contains fields
            from the parent models.
            """
            concrete_model = klass_info["model"]._meta.concrete_model
            for select_index in klass_info["select_fields"]:
                if self.select[select_index][0].target.model == concrete_model:
                    return self.select[select_index][0]

        def _get_field_choices():
            """Yield all allowed field paths in breadth-first search order."""
            queue = collections.deque([(None, self.klass_info)])
            while queue:
                parent_path, klass_info = queue.popleft()
                if parent_path is None:
                    path = []
                    yield "self"
                else:
                    field = klass_info["field"]
                    if klass_info["reverse"]:
                        field = field.remote_field
                    path = [*parent_path, field.name]
                    yield LOOKUP_SEP.join(path)
                queue.extend(
                    (path, klass_info)
                    for klass_info in _get_parent_klass_info(klass_info)
                )
                queue.extend(
                    (path, klass_info)
                    for klass_info in klass_info.get("related_klass_infos", [])
                )

        if not self.klass_info:
            return []
        result = []
        invalid_names = []
        for name in self.query.select_for_update_of:
            klass_info = self.klass_info
            if name == "self":
                col = _get_first_selected_col_from_model(klass_info)
            else:
                for part in name.split(LOOKUP_SEP):
                    klass_infos = (
                        *klass_info.get("related_klass_infos", []),
                        *_get_parent_klass_info(klass_info),
                    )
                    for related_klass_info in klass_infos:
                        field = related_klass_info["field"]
                        if related_klass_info["reverse"]:
                            field = field.remote_field
                        if field.name == part:
                            klass_info = related_klass_info
                            break
                    else:
                        klass_info = None
                        break
                if klass_info is None:
                    invalid_names.append(name)
                    continue
                col = _get_first_selected_col_from_model(klass_info)
            if col is not None:
                if self.connection.features.select_for_update_of_column:
                    result.append(self.compile(col)[0])
                else:
                    result.append(self.quote_name_unless_alias(col.alias))
        if invalid_names:
            raise FieldError(
                "Invalid field name(s) given in select_for_update(of=(...)): %s. "
                "Only relational fields followed in the query are allowed. "
                "Choices are: %s."
                % (
                    ", ".join(invalid_names),
                    ", ".join(_get_field_choices()),
                )
            )
        return result

    def get_converters(self, expressions):
        i = 0
        converters = {}

        for expression in expressions:
            if isinstance(expression, ColPairs):
                cols = expression.get_source_expressions()
                cols_converters = self.get_converters(cols)
                for j, (convs, col) in cols_converters.items():
                    converters[i + j] = (convs, col)
                i += len(expression)
            elif expression:
                backend_converters = self.connection.ops.get_db_converters(expression)
                field_converters = expression.get_db_converters(self.connection)
                if backend_converters or field_converters:
                    converters[i] = (backend_converters + field_converters, expression)
                i += 1
            else:
                i += 1

        return converters

    def apply_converters(self, rows, converters):
        connection = self.connection
        converters = list(converters.items())
        for row in map(list, rows):
            for pos, (convs, expression) in converters:
                value = row[pos]
                for converter in convs:
                    value = converter(value, expression, connection)
                row[pos] = value
            yield row

    def has_composite_fields(self, expressions):
        # Check for composite fields before calling the relatively costly
        # composite_fields_to_tuples.
        return any(isinstance(expression, ColPairs) for expression in expressions)

    def composite_fields_to_tuples(self, rows, expressions):
        col_pair_slices = [
            slice(i, i + len(expression))
            for i, expression in enumerate(expressions)
            if isinstance(expression, ColPairs)
        ]

        for row in map(list, rows):
            for pos in col_pair_slices:
                row[pos] = (tuple(row[pos]),)

            yield row

    def results_iter(
        self,
        results=None,
        tuple_expected=False,
        chunked_fetch=False,
        chunk_size=GET_ITERATOR_CHUNK_SIZE,
    ):
        """Return an iterator over the results from executing this query."""
        if results is None:
            results = self.execute_sql(
                MULTI, chunked_fetch=chunked_fetch, chunk_size=chunk_size
            )
        fields = [s[0] for s in self.select[0 : self.col_count]]
        converters = self.get_converters(fields)
        rows = chain.from_iterable(results)
        if converters:
            rows = self.apply_converters(rows, converters)
        if self.has_composite_fields(fields):
            rows = self.composite_fields_to_tuples(rows, fields)
        if tuple_expected:
            rows = map(tuple, rows)
        return rows

    def has_results(self):
        """
        Backends (e.g. NoSQL) can override this in order to use optimized
        versions of "query has any results."
        """
        return bool(self.execute_sql(SINGLE))

    def execute_sql(
        self, result_type=MULTI, chunked_fetch=False, chunk_size=GET_ITERATOR_CHUNK_SIZE
    ):
        """
        Run the query against the database and return the result(s). The
        return value depends on the value of result_type.

        When result_type is:
        - MULTI: Retrieves all rows using fetchmany(). Wraps in an iterator for
           chunked reads when supported.
        - SINGLE: Retrieves a single row using fetchone().
        - ROW_COUNT: Retrieves the number of rows in the result.
        - CURSOR: Runs the query, and returns the cursor object. It is the
           caller's responsibility to close the cursor.
        """
        result_type = result_type or NO_RESULTS
        try:
            sql, params = self.as_sql()
            if not sql:
                raise EmptyResultSet
        except EmptyResultSet:
            if result_type == MULTI:
                return iter([])
            else:
                return
        if chunked_fetch:
            cursor = self.connection.chunked_cursor()
        else:
            cursor = self.connection.cursor()
        try:
            cursor.execute(sql, params)
        except Exception:
            # Might fail for server-side cursors (e.g. connection closed)
            cursor.close()
            raise

        if result_type == ROW_COUNT:
            try:
                return cursor.rowcount
            finally:
                cursor.close()
        if result_type == CURSOR:
            # Give the caller the cursor to process and close.
            return cursor
        if result_type == SINGLE:
            try:
                val = cursor.fetchone()
                if val:
                    return val[0 : self.col_count]
                return val
            finally:
                # done with the cursor
                cursor.close()
        if result_type == NO_RESULTS:
            cursor.close()
            return

        result = cursor_iter(
            cursor,
            self.connection.features.empty_fetchmany_value,
            self.col_count if self.has_extra_select else None,
            chunk_size,
        )
        if not chunked_fetch or not self.connection.features.can_use_chunked_reads:
            # If we are using non-chunked reads, we return the same data
            # structure as normally, but ensure it is all read into memory
            # before going any further. Use chunked_fetch if requested,
            # unless the database doesn't support it.
            return list(result)
        return result

    def explain_query(self):
        result = list(self.execute_sql())
        # Some backends return 1 item tuples with strings, and others return
        # tuples with integers and strings. Flatten them out into strings.
        format_ = self.query.explain_info.format
        output_formatter = json.dumps if format_ and format_.lower() == "json" else str
        for row in result:
            for value in row:
                if not isinstance(value, str):
                    yield " ".join([output_formatter(c) for c in value])
                else:
                    yield value


class SQLInsertCompiler(SQLCompiler):
    returning_fields = None
    returning_params = ()

    def field_as_sql(self, field, get_placeholder, val):
        """
        Take a field and a value intended to be saved on that field, and
        return placeholder SQL and accompanying params. Check for raw values,
        expressions, and fields with get_placeholder() defined in that order.

        When field is None, consider the value raw and use it as the
        placeholder, with no corresponding parameters returned.
        """
        if field is None:
            # A field value of None means the value is raw.
            sql, params = val, []
        elif hasattr(val, "as_sql"):
            # This is an expression, let's compile it.
            sql, params = self.compile(val)
        elif get_placeholder is not None:
            # Some fields (e.g. geo fields) need special munging before
            # they can be inserted.
            sql, params = get_placeholder(val, self, self.connection), [val]
        else:
            # Return the common case for the placeholder
            sql, params = "%s", [val]

        # The following hook is only used by Oracle Spatial, which sometimes
        # needs to yield 'NULL' and [] as its placeholder and params instead
        # of '%s' and [None]. The 'NULL' placeholder is produced earlier by
        # OracleOperations.get_geom_placeholder(). The following line removes
        # the corresponding None parameter. See ticket #10888.
        params = self.connection.ops.modify_insert_params(sql, params)

        return sql, params

    def prepare_value(self, field, value):
        """
        Prepare a value to be used in a query by resolving it if it is an
        expression and otherwise calling the field's get_db_prep_save().
        """
        if hasattr(value, "resolve_expression"):
            value = value.resolve_expression(
                self.query, allow_joins=False, for_save=True
            )
            # Don't allow values containing Col expressions. They refer to
            # existing columns on a row, but in the case of insert the row
            # doesn't exist yet.
            if value.contains_column_references:
                raise ValueError(
                    'Failed to insert expression "%s" on %s. F() expressions '
                    "can only be used to update, not to insert." % (value, field)
                )
            if value.contains_aggregate:
                raise FieldError(
                    "Aggregate functions are not allowed in this query "
                    "(%s=%r)." % (field.name, value)
                )
            if value.contains_over_clause:
                raise FieldError(
                    "Window expressions are not allowed in this query (%s=%r)."
                    % (field.name, value)
                )
        return field.get_db_prep_save(value, connection=self.connection)

    def pre_save_val(self, field, obj):
        """
        Get the given field's value off the given obj. pre_save() is used for
        things like auto_now on DateTimeField. Skip it if this is a raw query.
        """
        if self.query.raw:
            return getattr(obj, field.attname)
        return field.pre_save(obj, add=True)

    def assemble_as_sql(self, fields, value_rows):
        """
        Take a sequence of N fields and a sequence of M rows of values, and
        generate placeholder SQL and parameters for each field and value.
        Return a pair containing:
         * a sequence of M rows of N SQL placeholder strings, and
         * a sequence of M rows of corresponding parameter values.

        Each placeholder string may contain any number of '%s' interpolation
        strings, and each parameter row will contain exactly as many params
        as the total number of '%s's in the corresponding placeholder row.
        """
        if not value_rows:
            return [], []

        # list of (sql, [params]) tuples for each object to be saved
        # Shape: [n_objs][n_fields][2]
        get_placeholders = [getattr(field, "get_placeholder", None) for field in fields]
        rows_of_fields_as_sql = (
            (
                self.field_as_sql(field, get_placeholder, value)
                for field, get_placeholder, value in zip(fields, get_placeholders, row)
            )
            for row in value_rows
        )

        # tuple like ([sqls], [[params]s]) for each object to be saved
        # Shape: [n_objs][2][n_fields]
        sql_and_param_pair_rows = (zip(*row) for row in rows_of_fields_as_sql)

        # Extract separate lists for placeholders and params.
        # Each of these has shape [n_objs][n_fields]
        placeholder_rows, param_rows = zip(*sql_and_param_pair_rows)

        # Params for each field are still lists, and need to be flattened.
        param_rows = [[p for ps in row for p in ps] for row in param_rows]

        return placeholder_rows, param_rows

    def as_sql(self):
        # We don't need quote_name_unless_alias() here, since these are all
        # going to be column names (so we can avoid the extra overhead).
        qn = self.connection.ops.quote_name
        opts = self.query.get_meta()
        insert_statement = self.connection.ops.insert_statement(
            on_conflict=self.query.on_conflict,
        )
        result = ["%s %s" % (insert_statement, qn(opts.db_table))]

        if fields := list(self.query.fields):
            from django.db.models.expressions import DatabaseDefault

            supports_default_keyword_in_bulk_insert = (
                self.connection.features.supports_default_keyword_in_bulk_insert
            )
            value_cols = []
            for field in list(fields):
                field_prepare = partial(self.prepare_value, field)
                field_pre_save = partial(self.pre_save_val, field)
                field_values = [
                    field_prepare(field_pre_save(obj)) for obj in self.query.objs
                ]

                if not field.has_db_default():
                    value_cols.append(field_values)
                    continue

                # If all values are DEFAULT don't include the field and its
                # values in the query as they are redundant and could prevent
                # optimizations. This cannot be done if we're dealing with the
                # last field as INSERT statements require at least one.
                if len(fields) > 1 and all(
                    isinstance(value, DatabaseDefault) for value in field_values
                ):
                    fields.remove(field)
                    continue

                if supports_default_keyword_in_bulk_insert:
                    value_cols.append(field_values)
                    continue

                # If the field cannot be excluded from the INSERT for the
                # reasons listed above and the backend doesn't support the
                # DEFAULT keyword each values must be expanded into their
                # underlying expressions.
                prepared_db_default = field_prepare(field.db_default)
                field_values = [
                    (
                        prepared_db_default
                        if isinstance(value, DatabaseDefault)
                        else value
                    )
                    for value in field_values
                ]
                value_cols.append(field_values)
            value_rows = list(zip(*value_cols))
            result.append("(%s)" % ", ".join(qn(f.column) for f in fields))
        else:
            # No fields were specified but an INSERT statement must include at
            # least one column. This can only happen when the model's primary
            # key is composed of a single auto-field so default to including it
            # as a placeholder to generate a valid INSERT statement.
            value_rows = [
                [self.connection.ops.pk_default_value()] for _ in self.query.objs
            ]
            fields = [None]
            result.append("(%s)" % qn(opts.pk.column))

        # Currently the backends just accept values when generating bulk
        # queries and generate their own placeholders. Doing that isn't
        # necessary and it should be possible to use placeholders and
        # expressions in bulk inserts too.
        can_bulk = (
            not self.returning_fields and self.connection.features.has_bulk_insert
        )

        placeholder_rows, param_rows = self.assemble_as_sql(fields, value_rows)

        on_conflict_suffix_sql = self.connection.ops.on_conflict_suffix_sql(
            fields,
            self.query.on_conflict,
            (f.column for f in self.query.update_fields),
            (f.column for f in self.query.unique_fields),
        )
        if (
            self.returning_fields
            and self.connection.features.can_return_columns_from_insert
        ):
            if self.connection.features.can_return_rows_from_bulk_insert:
                result.append(
                    self.connection.ops.bulk_insert_sql(fields, placeholder_rows)
                )
                params = param_rows
            else:
                result.append("VALUES (%s)" % ", ".join(placeholder_rows[0]))
                params = [param_rows[0]]
            if on_conflict_suffix_sql:
                result.append(on_conflict_suffix_sql)
            # Skip empty r_sql to allow subclasses to customize behavior for
            # 3rd party backends. Refs #19096.
            r_sql, self.returning_params = self.connection.ops.returning_columns(
                self.returning_fields
            )
            if r_sql:
                result.append(r_sql)
                params += [self.returning_params]
            return [(" ".join(result), tuple(chain.from_iterable(params)))]

        if can_bulk:
            result.append(self.connection.ops.bulk_insert_sql(fields, placeholder_rows))
            if on_conflict_suffix_sql:
                result.append(on_conflict_suffix_sql)
            return [(" ".join(result), tuple(p for ps in param_rows for p in ps))]
        else:
            if on_conflict_suffix_sql:
                result.append(on_conflict_suffix_sql)
            return [
                (" ".join([*result, "VALUES (%s)" % ", ".join(p)]), vals)
                for p, vals in zip(placeholder_rows, param_rows)
            ]

    def execute_sql(self, returning_fields=None):
        assert not (
            returning_fields
            and len(self.query.objs) != 1
            and not self.connection.features.can_return_rows_from_bulk_insert
        )
        opts = self.query.get_meta()
        self.returning_fields = returning_fields
        cols = []
        with self.connection.cursor() as cursor:
            for sql, params in self.as_sql():
                cursor.execute(sql, params)
            if not self.returning_fields:
                return []
            obj_len = len(self.query.objs)
            if (
                self.connection.features.can_return_rows_from_bulk_insert
                and obj_len > 1
            ) or (
                self.connection.features.can_return_columns_from_insert and obj_len == 1
            ):
                rows = self.connection.ops.fetch_returned_rows(
                    cursor, self.returning_params
                )
                cols = [field.get_col(opts.db_table) for field in self.returning_fields]
            elif returning_fields and isinstance(
                returning_field := returning_fields[0], AutoField
            ):
                cols = [returning_field.get_col(opts.db_table)]
                rows = [
                    (
                        self.connection.ops.last_insert_id(
                            cursor,
                            opts.db_table,
                            returning_field.column,
                        ),
                    )
                ]
            else:
                # Backend doesn't support returning fields and no auto-field
                # that can be retrieved from `last_insert_id` was specified.
                return []
        converters = self.get_converters(cols)
        if converters:
            rows = self.apply_converters(rows, converters)
        return list(rows)


class SQLDeleteCompiler(SQLCompiler):
    @cached_property
    def single_alias(self):
        # Ensure base table is in aliases.
        self.query.get_initial_alias()
        return sum(self.query.alias_refcount[t] > 0 for t in self.query.alias_map) == 1

    @classmethod
    def _expr_refs_base_model(cls, expr, base_model):
        if isinstance(expr, Query):
            return expr.model == base_model
        if not hasattr(expr, "get_source_expressions"):
            return False
        return any(
            cls._expr_refs_base_model(source_expr, base_model)
            for source_expr in expr.get_source_expressions()
        )

    @cached_property
    def contains_self_reference_subquery(self):
        return any(
            self._expr_refs_base_model(expr, self.query.model)
            for expr in chain(
                self.query.annotations.values(), self.query.where.children
            )
        )

    def _as_sql(self, query):
        delete = "DELETE FROM %s" % self.quote_name_unless_alias(query.base_table)
        try:
            where, params = self.compile(query.where)
        except FullResultSet:
            return delete, ()
        return f"{delete} WHERE {where}", tuple(params)

    def as_sql(self):
        """
        Create the SQL for this query. Return the SQL string and list of
        parameters.
        """
        if self.single_alias and (
            self.connection.features.delete_can_self_reference_subquery
            or not self.contains_self_reference_subquery
        ):
            return self._as_sql(self.query)
        innerq = self.query.clone()
        innerq.__class__ = Query
        innerq.clear_select_clause()
        pk = self.query.model._meta.pk
        innerq.select = [pk.get_col(self.query.get_initial_alias())]
        outerq = Query(self.query.model)
        if not self.connection.features.update_can_self_select:
            # Force the materialization of the inner query to allow reference
            # to the target table on MySQL.
            sql, params = innerq.get_compiler(connection=self.connection).as_sql()
            innerq = RawSQL("SELECT * FROM (%s) subquery" % sql, params)
        outerq.add_filter("pk__in", innerq)
        return self._as_sql(outerq)


class SQLUpdateCompiler(SQLCompiler):
    returning_fields = None
    returning_params = ()

    def as_sql(self):
        """
        Create the SQL for this query. Return the SQL string and list of
        parameters.
        """
        self.pre_sql_setup()
        if not self.query.values:
            return "", ()
        qn = self.quote_name_unless_alias
        values, update_params = [], []
        for field, model, val in self.query.values:
            if hasattr(val, "resolve_expression"):
                val = val.resolve_expression(
                    self.query, allow_joins=False, for_save=True
                )
                if val.contains_aggregate:
                    raise FieldError(
                        "Aggregate functions are not allowed in this query "
                        "(%s=%r)." % (field.name, val)
                    )
                if val.contains_over_clause:
                    raise FieldError(
                        "Window expressions are not allowed in this query "
                        "(%s=%r)." % (field.name, val)
                    )
                if isinstance(val, ColPairs):
                    raise FieldError(
                        "Composite primary keys expressions are not allowed "
                        "in this query (%s=F('pk'))." % field.name
                    )
            elif hasattr(val, "prepare_database_save"):
                if field.remote_field:
                    val = val.prepare_database_save(field)
                else:
                    raise TypeError(
                        "Tried to update field %s with a model instance, %r. "
                        "Use a value compatible with %s."
                        % (field, val, field.__class__.__name__)
                    )
            val = field.get_db_prep_save(val, connection=self.connection)

            # Getting the placeholder for the field.
            if hasattr(field, "get_placeholder"):
                placeholder = field.get_placeholder(val, self, self.connection)
            else:
                placeholder = "%s"
            name = field.column
            if hasattr(val, "as_sql"):
                sql, params = self.compile(val)
                values.append("%s = %s" % (qn(name), placeholder % sql))
                update_params.extend(params)
            elif val is not None:
                values.append("%s = %s" % (qn(name), placeholder))
                update_params.append(val)
            else:
                values.append("%s = NULL" % qn(name))
        table = self.query.base_table
        result = [
            "UPDATE %s SET" % qn(table),
            ", ".join(values),
        ]
        try:
            where, params = self.compile(self.query.where)
        except FullResultSet:
            params = []
        else:
            result.append("WHERE %s" % where)
        if self.returning_fields:
            # Skip empty r_sql to allow subclasses to customize behavior for
            # 3rd party backends. Refs #19096.
            r_sql, self.returning_params = self.connection.ops.returning_columns(
                self.returning_fields
            )
            if r_sql:
                result.append(r_sql)
                params.extend(self.returning_params)
        return " ".join(result), tuple(update_params + params)

    def execute_sql(self, result_type):
        """
        Execute the specified update. Return the number of rows affected by
        the primary update query. The "primary update query" is the first
        non-empty query that is executed. Row counts for any subsequent,
        related queries are not available.
        """
        row_count = super().execute_sql(result_type)
        is_empty = row_count is None
        row_count = row_count or 0

        for query in self.query.get_related_updates():
            # If the result_type is NO_RESULTS then the aux_row_count is None.
            aux_row_count = query.get_compiler(self.using).execute_sql(result_type)
            if is_empty and aux_row_count:
                # Returns the row count for any related updates as the number
                # of rows updated.
                row_count = aux_row_count
                is_empty = False
        return row_count

    def execute_returning_sql(self, returning_fields):
        """
        Execute the specified update and return rows of the returned columns
        associated with the specified returning_field if the backend supports
        it.
        """
        if self.query.get_related_updates():
            raise NotImplementedError(
                "Update returning is not implemented for queries with related updates."
            )

        if (
            not returning_fields
            or not self.connection.features.can_return_rows_from_update
        ):
            row_count = self.execute_sql(ROW_COUNT)
            return [()] * row_count

        self.returning_fields = returning_fields
        with self.connection.cursor() as cursor:
            sql, params = self.as_sql()
            cursor.execute(sql, params)
            rows = self.connection.ops.fetch_returned_rows(
                cursor, self.returning_params
            )
        opts = self.query.get_meta()
        cols = [field.get_col(opts.db_table) for field in self.returning_fields]
        converters = self.get_converters(cols)
        if converters:
            rows = self.apply_converters(rows, converters)
        return list(rows)

    def pre_sql_setup(self):
        """
        If the update depends on results from other tables, munge the "where"
        conditions to match the format required for (portable) SQL updates.

        If multiple updates are required, pull out the id values to update at
        this point so that they don't change as a result of the progressive
        updates.
        """
        refcounts_before = self.query.alias_refcount.copy()
        # Ensure base table is in the query
        self.query.get_initial_alias()
        count = self.query.count_active_tables()
        if not self.query.related_updates and count == 1:
            return
        query = self.query.chain(klass=Query)
        query.select_related = False
        query.clear_ordering(force=True)
        query.extra = {}
        query.select = []
        meta = query.get_meta()
        fields = [meta.pk.name]
        related_ids_index = []
        for related in self.query.related_updates:
            if all(
                path.join_field.primary_key for path in meta.get_path_to_parent(related)
            ):
                # If a primary key chain exists to the targeted related update,
                # then the meta.pk value can be used for it.
                related_ids_index.append((related, 0))
            else:
                # This branch will only be reached when updating a field of an
                # ancestor that is not part of the primary key chain of a MTI
                # tree.
                related_ids_index.append((related, len(fields)))
                fields.append(related._meta.pk.name)
        query.add_fields(fields)
        super().pre_sql_setup()

        is_composite_pk = meta.is_composite_pk
        must_pre_select = (
            count > 1 and not self.connection.features.update_can_self_select
        )

        # Now we adjust the current query: reset the where clause and get rid
        # of all the tables we don't need (since they're in the sub-select).
        self.query.clear_where()
        if self.query.related_updates or must_pre_select:
            # Either we're using the idents in multiple update queries (so
            # don't want them to change), or the db backend doesn't support
            # selecting from the updating table (e.g. MySQL).
            idents = []
            related_ids = collections.defaultdict(list)
            for rows in query.get_compiler(self.using).execute_sql(MULTI):
                pks = [row if is_composite_pk else row[0] for row in rows]
                idents.extend(pks)
                for parent, index in related_ids_index:
                    related_ids[parent].extend(r[index] for r in rows)
            self.query.add_filter("pk__in", idents)
            self.query.related_ids = related_ids
        else:
            # The fast path. Filters and updates in one query.
            self.query.add_filter("pk__in", query)
        self.query.reset_refcounts(refcounts_before)


class SQLAggregateCompiler(SQLCompiler):
    def as_sql(self):
        """
        Create the SQL for this query. Return the SQL string and list of
        parameters.
        """
        sql, params = [], []
        for annotation in self.query.annotation_select.values():
            ann_sql, ann_params = self.compile(annotation)
            ann_sql, ann_params = annotation.select_format(self, ann_sql, ann_params)
            sql.append(ann_sql)
            params.extend(ann_params)
        self.col_count = len(self.query.annotation_select)
        sql = ", ".join(sql)
        params = tuple(params)

        inner_query_sql, inner_query_params = self.query.inner_query.get_compiler(
            self.using,
            elide_empty=self.elide_empty,
        ).as_sql(with_col_aliases=True)
        sql = "SELECT %s FROM (%s) subquery" % (sql, inner_query_sql)
        params += inner_query_params
        return sql, params


def cursor_iter(cursor, sentinel, col_count, itersize):
    """
    Yield blocks of rows from a cursor and ensure the cursor is closed when
    done.
    """
    try:
        for rows in iter((lambda: cursor.fetchmany(itersize)), sentinel):
            yield rows if col_count is None else [r[:col_count] for r in rows]
    finally:
        cursor.close()
