mirror of https://github.com/django/django.git
Fixed #24747 -- Allowed transforms in QuerySet.order_by() and distinct(*fields).
This commit is contained in:
parent
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@ -158,7 +158,7 @@ class BaseDatabaseOperations:
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"""
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return ''
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def distinct_sql(self, fields):
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def distinct_sql(self, fields, params):
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"""
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Return an SQL DISTINCT clause which removes duplicate rows from the
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result set. If any fields are given, only check the given fields for
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@ -167,7 +167,7 @@ class BaseDatabaseOperations:
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if fields:
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raise NotSupportedError('DISTINCT ON fields is not supported by this database backend')
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else:
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return 'DISTINCT'
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return ['DISTINCT'], []
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def fetch_returned_insert_id(self, cursor):
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"""
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@ -207,11 +207,12 @@ class DatabaseOperations(BaseDatabaseOperations):
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"""
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return 63
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def distinct_sql(self, fields):
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def distinct_sql(self, fields, params):
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if fields:
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return 'DISTINCT ON (%s)' % ', '.join(fields)
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params = [param for param_list in params for param in param_list]
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return (['DISTINCT ON (%s)' % ', '.join(fields)], params)
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else:
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return 'DISTINCT'
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return ['DISTINCT'], []
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def last_executed_query(self, cursor, sql, params):
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# http://initd.org/psycopg/docs/cursor.html#cursor.query
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@ -451,7 +451,7 @@ class SQLCompiler:
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raise NotSupportedError('{} is not supported on this database backend.'.format(combinator))
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result, params = self.get_combinator_sql(combinator, self.query.combinator_all)
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else:
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distinct_fields = self.get_distinct()
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distinct_fields, distinct_params = self.get_distinct()
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# This must come after 'select', 'ordering', and 'distinct'
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# (see docstring of get_from_clause() for details).
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from_, f_params = self.get_from_clause()
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@ -461,7 +461,12 @@ class SQLCompiler:
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params = []
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if self.query.distinct:
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result.append(self.connection.ops.distinct_sql(distinct_fields))
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distinct_result, distinct_params = self.connection.ops.distinct_sql(
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distinct_fields,
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distinct_params,
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)
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result += distinct_result
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params += distinct_params
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out_cols = []
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col_idx = 1
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@ -621,21 +626,22 @@ class SQLCompiler:
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This method can alter the tables in the query, and thus it must be
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called before get_from_clause().
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"""
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qn = self.quote_name_unless_alias
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qn2 = self.connection.ops.quote_name
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result = []
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params = []
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opts = self.query.get_meta()
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for name in self.query.distinct_fields:
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parts = name.split(LOOKUP_SEP)
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_, targets, alias, joins, path, _ = self._setup_joins(parts, opts, None)
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_, targets, alias, joins, path, _, transform_function = self._setup_joins(parts, opts, None)
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targets, alias, _ = self.query.trim_joins(targets, joins, path)
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for target in targets:
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if name in self.query.annotation_select:
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result.append(name)
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else:
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result.append("%s.%s" % (qn(alias), qn2(target.column)))
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return result
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r, p = self.compile(transform_function(target, alias))
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result.append(r)
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params.append(p)
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return result, params
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def find_ordering_name(self, name, opts, alias=None, default_order='ASC',
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already_seen=None):
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@ -647,7 +653,7 @@ class SQLCompiler:
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name, order = get_order_dir(name, default_order)
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descending = order == 'DESC'
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pieces = name.split(LOOKUP_SEP)
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field, targets, alias, joins, path, opts = self._setup_joins(pieces, opts, alias)
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field, targets, alias, joins, path, opts, transform_function = self._setup_joins(pieces, opts, alias)
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# If we get to this point and the field is a relation to another model,
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# append the default ordering for that model unless the attribute name
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@ -666,7 +672,7 @@ class SQLCompiler:
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order, already_seen))
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return results
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targets, alias, _ = self.query.trim_joins(targets, joins, path)
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return [(OrderBy(t.get_col(alias), descending=descending), False) for t in targets]
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return [(OrderBy(transform_function(t, alias), descending=descending), False) for t in targets]
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def _setup_joins(self, pieces, opts, alias):
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"""
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@ -677,10 +683,9 @@ class SQLCompiler:
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match. Executing SQL where this is not true is an error.
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"""
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alias = alias or self.query.get_initial_alias()
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field, targets, opts, joins, path = self.query.setup_joins(
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pieces, opts, alias)
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field, targets, opts, joins, path, transform_function = self.query.setup_joins(pieces, opts, alias)
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alias = joins[-1]
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return field, targets, alias, joins, path, opts
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return field, targets, alias, joins, path, opts, transform_function
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def get_from_clause(self):
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"""
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@ -786,7 +791,7 @@ class SQLCompiler:
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}
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related_klass_infos.append(klass_info)
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select_fields = []
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_, _, _, joins, _ = self.query.setup_joins(
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_, _, _, joins, _, _ = self.query.setup_joins(
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[f.name], opts, root_alias)
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alias = joins[-1]
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columns = self.get_default_columns(start_alias=alias, opts=f.remote_field.model._meta)
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@ -843,7 +848,7 @@ class SQLCompiler:
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break
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if name in self.query._filtered_relations:
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fields_found.add(name)
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f, _, join_opts, joins, _ = self.query.setup_joins([name], opts, root_alias)
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f, _, join_opts, joins, _, _ = self.query.setup_joins([name], opts, root_alias)
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model = join_opts.model
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alias = joins[-1]
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from_parent = issubclass(model, opts.model) and model is not opts.model
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@ -6,6 +6,7 @@ themselves do not have to (and could be backed by things other than SQL
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databases). The abstraction barrier only works one way: this module has to know
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all about the internals of models in order to get the information it needs.
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"""
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import functools
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from collections import Counter, OrderedDict, namedtuple
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from collections.abc import Iterator, Mapping
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from itertools import chain, count, product
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@ -18,6 +19,7 @@ from django.db import DEFAULT_DB_ALIAS, NotSupportedError, connections
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from django.db.models.aggregates import Count
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from django.db.models.constants import LOOKUP_SEP
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from django.db.models.expressions import Col, Ref
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from django.db.models.fields import Field
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from django.db.models.fields.related_lookups import MultiColSource
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from django.db.models.lookups import Lookup
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from django.db.models.query_utils import (
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@ -56,7 +58,7 @@ def get_children_from_q(q):
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JoinInfo = namedtuple(
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'JoinInfo',
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('final_field', 'targets', 'opts', 'joins', 'path')
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('final_field', 'targets', 'opts', 'joins', 'path', 'transform_function')
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)
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@ -1429,8 +1431,11 @@ class Query:
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generate a MultiJoin exception.
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Return the final field involved in the joins, the target field (used
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for any 'where' constraint), the final 'opts' value, the joins and the
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field path travelled to generate the joins.
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for any 'where' constraint), the final 'opts' value, the joins, the
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field path traveled to generate the joins, and a transform function
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that takes a field and alias and is equivalent to `field.get_col(alias)`
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in the simple case but wraps field transforms if they were included in
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names.
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The target field is the field containing the concrete value. Final
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field can be something different, for example foreign key pointing to
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@ -1439,10 +1444,46 @@ class Query:
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key field for example).
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"""
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joins = [alias]
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# First, generate the path for the names
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path, final_field, targets, rest = self.names_to_path(
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names, opts, allow_many, fail_on_missing=True)
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# The transform can't be applied yet, as joins must be trimmed later.
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# To avoid making every caller of this method look up transforms
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# directly, compute transforms here and and create a partial that
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# converts fields to the appropriate wrapped version.
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def final_transformer(field, alias):
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return field.get_col(alias)
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# Try resolving all the names as fields first. If there's an error,
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# treat trailing names as lookups until a field can be resolved.
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last_field_exception = None
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for pivot in range(len(names), 0, -1):
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try:
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path, final_field, targets, rest = self.names_to_path(
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names[:pivot], opts, allow_many, fail_on_missing=True,
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)
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except FieldError as exc:
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if pivot == 1:
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# The first item cannot be a lookup, so it's safe
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# to raise the field error here.
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raise
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else:
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last_field_exception = exc
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else:
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# The transforms are the remaining items that couldn't be
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# resolved into fields.
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transforms = names[pivot:]
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break
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for name in transforms:
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def transform(field, alias, *, name, previous):
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try:
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wrapped = previous(field, alias)
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return self.try_transform(wrapped, name)
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except FieldError:
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# FieldError is raised if the transform doesn't exist.
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if isinstance(final_field, Field) and last_field_exception:
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raise last_field_exception
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else:
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raise
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final_transformer = functools.partial(transform, name=name, previous=final_transformer)
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# Then, add the path to the query's joins. Note that we can't trim
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# joins at this stage - we will need the information about join type
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# of the trimmed joins.
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@ -1470,7 +1511,7 @@ class Query:
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joins.append(alias)
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if filtered_relation:
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filtered_relation.path = joins[:]
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return JoinInfo(final_field, targets, opts, joins, path)
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return JoinInfo(final_field, targets, opts, joins, path, final_transformer)
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def trim_joins(self, targets, joins, path):
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"""
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@ -1683,7 +1724,7 @@ class Query:
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join_info.path,
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)
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for target in targets:
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cols.append(target.get_col(final_alias))
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cols.append(join_info.transform_function(target, final_alias))
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if cols:
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self.set_select(cols)
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except MultiJoin:
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@ -138,6 +138,21 @@ SQL::
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Note that in case there is no other lookup specified, Django interprets
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``change__abs=27`` as ``change__abs__exact=27``.
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This also allows the result to be used in ``ORDER BY`` and ``DISTINCT ON``
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clauses. For example ``Experiment.objects.order_by('change__abs')`` generates::
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SELECT ... ORDER BY ABS("experiments"."change") ASC
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And on databases that support distinct on fields (such as PostgreSQL),
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``Experiment.objects.distinct('change__abs')`` generates::
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SELECT ... DISTINCT ON ABS("experiments"."change")
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.. versionchanged:: 2.1
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Ordering and distinct support as described in the last two paragraphs was
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added.
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When looking for which lookups are allowable after the ``Transform`` has been
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applied, Django uses the ``output_field`` attribute. We didn't need to specify
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this here as it didn't change, but supposing we were applying ``AbsoluteValue``
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@ -64,10 +64,14 @@ Some examples
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# Aggregates can contain complex computations also
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Company.objects.annotate(num_offerings=Count(F('products') + F('services')))
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# Expressions can also be used in order_by()
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# Expressions can also be used in order_by(), either directly
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Company.objects.order_by(Length('name').asc())
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Company.objects.order_by(Length('name').desc())
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# or using the double underscore lookup syntax.
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from django.db.models import CharField
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from django.db.models.functions import Length
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CharField.register_lookup(Length)
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Company.objects.order_by('name__length')
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Built-in Expressions
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====================
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@ -535,6 +535,19 @@ The ``values()`` method also takes optional keyword arguments,
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>>> Blog.objects.values(lower_name=Lower('name'))
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<QuerySet [{'lower_name': 'beatles blog'}]>
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You can use built-in and :doc:`custom lookups </howto/custom-lookups>` in
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ordering. For example::
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>>> from django.db.models import CharField
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>>> from django.db.models.functions import Lower
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>>> CharField.register_lookup(Lower, 'lower')
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>>> Blog.objects.values('name__lower')
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<QuerySet [{'name__lower': 'beatles blog'}]>
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.. versionchanged:: 2.1
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Support for lookups was added.
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An aggregate within a ``values()`` clause is applied before other arguments
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within the same ``values()`` clause. If you need to group by another value,
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add it to an earlier ``values()`` clause instead. For example::
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@ -580,6 +593,25 @@ A few subtleties that are worth mentioning:
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* Calling :meth:`only()` and :meth:`defer()` after ``values()`` doesn't make
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sense, so doing so will raise a ``NotImplementedError``.
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* Combining transforms and aggregates requires the use of two :meth:`annotate`
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calls, either explicitly or as keyword arguments to :meth:`values`. As above,
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if the transform has been registered on the relevant field type the first
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:meth:`annotate` can be omitted, thus the following examples are equivalent::
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>>> from django.db.models import CharField, Count
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>>> from django.db.models.functions import Lower
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>>> CharField.register_lookup(Lower, 'lower')
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>>> Blog.objects.values('entry__authors__name__lower').annotate(entries=Count('entry'))
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<QuerySet [{'entry__authors__name__lower': 'test author', 'entries': 33}]>
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>>> Blog.objects.values(
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... entry__authors__name__lower=Lower('entry__authors__name')
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... ).annotate(entries=Count('entry'))
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<QuerySet [{'entry__authors__name__lower': 'test author', 'entries': 33}]>
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>>> Blog.objects.annotate(
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... entry__authors__name__lower=Lower('entry__authors__name')
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... ).values('entry__authors__name__lower').annotate(entries=Count('entry'))
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<QuerySet [{'entry__authors__name__lower': 'test author', 'entries': 33}]>
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It is useful when you know you're only going to need values from a small number
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of the available fields and you won't need the functionality of a model
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instance object. It's more efficient to select only the fields you need to use.
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@ -187,6 +187,9 @@ Models
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* Query expressions can now be negated using a minus sign.
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* :meth:`.QuerySet.order_by` and :meth:`distinct(*fields) <.QuerySet.distinct>`
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now support using field transforms.
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Requests and Responses
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~~~~~~~~~~~~~~~~~~~~~~
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@ -242,6 +245,9 @@ Database backend API
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* Renamed the ``allow_sliced_subqueries`` database feature flag to
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``allow_sliced_subqueries_with_in``.
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* ``DatabaseOperations.distinct_sql()`` now requires an additional ``params``
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argument and returns a tuple of SQL and parameters instead of a SQL string.
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:mod:`django.contrib.gis`
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-------------------------
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@ -17,7 +17,7 @@ class DatabaseOperationTests(SimpleTestCase):
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def test_distinct_on_fields(self):
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msg = 'DISTINCT ON fields is not supported by this database backend'
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with self.assertRaisesMessage(NotSupportedError, msg):
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self.ops.distinct_sql(['a', 'b'])
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self.ops.distinct_sql(['a', 'b'], None)
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def test_deferrable_sql(self):
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self.assertEqual(self.ops.deferrable_sql(), '')
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@ -63,6 +63,14 @@ class Mult3BilateralTransform(models.Transform):
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return '3 * (%s)' % lhs, lhs_params
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class LastDigitTransform(models.Transform):
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lookup_name = 'lastdigit'
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def as_sql(self, compiler, connection):
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lhs, lhs_params = compiler.compile(self.lhs)
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return 'SUBSTR(CAST(%s AS CHAR(2)), 2, 1)' % lhs, lhs_params
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class UpperBilateralTransform(models.Transform):
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bilateral = True
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lookup_name = 'upper'
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@ -379,6 +387,15 @@ class BilateralTransformTests(TestCase):
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self.assertSequenceEqual(baseqs.filter(age__mult3__div3=42), [a1, a2, a3, a4])
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self.assertSequenceEqual(baseqs.filter(age__div3__mult3=42), [a3])
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def test_transform_order_by(self):
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with register_lookup(models.IntegerField, LastDigitTransform):
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a1 = Author.objects.create(name='a1', age=11)
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a2 = Author.objects.create(name='a2', age=23)
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a3 = Author.objects.create(name='a3', age=32)
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a4 = Author.objects.create(name='a4', age=40)
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qs = Author.objects.order_by('age__lastdigit')
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self.assertSequenceEqual(qs, [a4, a1, a3, a2])
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def test_bilateral_fexpr(self):
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with register_lookup(models.IntegerField, Mult3BilateralTransform):
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a1 = Author.objects.create(name='a1', age=1, average_rating=3.2)
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@ -1,4 +1,5 @@
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from django.db.models import Max
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from django.db.models import CharField, Max
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from django.db.models.functions import Lower
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from django.test import TestCase, skipUnlessDBFeature
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from .models import Celebrity, Fan, Staff, StaffTag, Tag
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@ -8,19 +9,19 @@ from .models import Celebrity, Fan, Staff, StaffTag, Tag
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@skipUnlessDBFeature('supports_nullable_unique_constraints')
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class DistinctOnTests(TestCase):
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def setUp(self):
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t1 = Tag.objects.create(name='t1')
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Tag.objects.create(name='t2', parent=t1)
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t3 = Tag.objects.create(name='t3', parent=t1)
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Tag.objects.create(name='t4', parent=t3)
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Tag.objects.create(name='t5', parent=t3)
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self.t1 = Tag.objects.create(name='t1')
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self.t2 = Tag.objects.create(name='t2', parent=self.t1)
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self.t3 = Tag.objects.create(name='t3', parent=self.t1)
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self.t4 = Tag.objects.create(name='t4', parent=self.t3)
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self.t5 = Tag.objects.create(name='t5', parent=self.t3)
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|
||||
self.p1_o1 = Staff.objects.create(id=1, name="p1", organisation="o1")
|
||||
self.p2_o1 = Staff.objects.create(id=2, name="p2", organisation="o1")
|
||||
self.p3_o1 = Staff.objects.create(id=3, name="p3", organisation="o1")
|
||||
self.p1_o2 = Staff.objects.create(id=4, name="p1", organisation="o2")
|
||||
self.p1_o1.coworkers.add(self.p2_o1, self.p3_o1)
|
||||
StaffTag.objects.create(staff=self.p1_o1, tag=t1)
|
||||
StaffTag.objects.create(staff=self.p1_o1, tag=t1)
|
||||
StaffTag.objects.create(staff=self.p1_o1, tag=self.t1)
|
||||
StaffTag.objects.create(staff=self.p1_o1, tag=self.t1)
|
||||
|
||||
celeb1 = Celebrity.objects.create(name="c1")
|
||||
celeb2 = Celebrity.objects.create(name="c2")
|
||||
|
@ -95,6 +96,19 @@ class DistinctOnTests(TestCase):
|
|||
c2 = c1.distinct('pk')
|
||||
self.assertNotIn('OUTER JOIN', str(c2.query))
|
||||
|
||||
def test_transform(self):
|
||||
new_name = self.t1.name.upper()
|
||||
self.assertNotEqual(self.t1.name, new_name)
|
||||
Tag.objects.create(name=new_name)
|
||||
CharField.register_lookup(Lower)
|
||||
try:
|
||||
self.assertCountEqual(
|
||||
Tag.objects.order_by().distinct('name__lower'),
|
||||
[self.t1, self.t2, self.t3, self.t4, self.t5],
|
||||
)
|
||||
finally:
|
||||
CharField._unregister_lookup(Lower)
|
||||
|
||||
def test_distinct_not_implemented_checks(self):
|
||||
# distinct + annotate not allowed
|
||||
msg = 'annotate() + distinct(fields) is not implemented.'
|
||||
|
|
|
@ -1363,6 +1363,40 @@ class ValueTests(TestCase):
|
|||
ExpressionList()
|
||||
|
||||
|
||||
class FieldTransformTests(TestCase):
|
||||
|
||||
@classmethod
|
||||
def setUpTestData(cls):
|
||||
cls.sday = sday = datetime.date(2010, 6, 25)
|
||||
cls.stime = stime = datetime.datetime(2010, 6, 25, 12, 15, 30, 747000)
|
||||
cls.ex1 = Experiment.objects.create(
|
||||
name='Experiment 1',
|
||||
assigned=sday,
|
||||
completed=sday + datetime.timedelta(2),
|
||||
estimated_time=datetime.timedelta(2),
|
||||
start=stime,
|
||||
end=stime + datetime.timedelta(2),
|
||||
)
|
||||
|
||||
def test_month_aggregation(self):
|
||||
self.assertEqual(
|
||||
Experiment.objects.aggregate(month_count=Count('assigned__month')),
|
||||
{'month_count': 1}
|
||||
)
|
||||
|
||||
def test_transform_in_values(self):
|
||||
self.assertQuerysetEqual(
|
||||
Experiment.objects.values('assigned__month'),
|
||||
["{'assigned__month': 6}"]
|
||||
)
|
||||
|
||||
def test_multiple_transforms_in_values(self):
|
||||
self.assertQuerysetEqual(
|
||||
Experiment.objects.values('end__date__month'),
|
||||
["{'end__date__month': 6}"]
|
||||
)
|
||||
|
||||
|
||||
class ReprTests(TestCase):
|
||||
|
||||
def test_expressions(self):
|
||||
|
|
|
@ -309,6 +309,22 @@ class TestQuerying(PostgreSQLTestCase):
|
|||
self.objs[2:3]
|
||||
)
|
||||
|
||||
def test_order_by_slice(self):
|
||||
more_objs = (
|
||||
NullableIntegerArrayModel.objects.create(field=[1, 637]),
|
||||
NullableIntegerArrayModel.objects.create(field=[2, 1]),
|
||||
NullableIntegerArrayModel.objects.create(field=[3, -98123]),
|
||||
NullableIntegerArrayModel.objects.create(field=[4, 2]),
|
||||
)
|
||||
self.assertSequenceEqual(
|
||||
NullableIntegerArrayModel.objects.order_by('field__1'),
|
||||
[
|
||||
more_objs[2], more_objs[1], more_objs[3], self.objs[2],
|
||||
self.objs[3], more_objs[0], self.objs[4], self.objs[1],
|
||||
self.objs[0],
|
||||
]
|
||||
)
|
||||
|
||||
@unittest.expectedFailure
|
||||
def test_slice_nested(self):
|
||||
instance = NestedIntegerArrayModel.objects.create(field=[[1, 2], [3, 4]])
|
||||
|
|
|
@ -148,6 +148,18 @@ class TestQuerying(HStoreTestCase):
|
|||
self.objs[:2]
|
||||
)
|
||||
|
||||
def test_order_by_field(self):
|
||||
more_objs = (
|
||||
HStoreModel.objects.create(field={'g': '637'}),
|
||||
HStoreModel.objects.create(field={'g': '002'}),
|
||||
HStoreModel.objects.create(field={'g': '042'}),
|
||||
HStoreModel.objects.create(field={'g': '981'}),
|
||||
)
|
||||
self.assertSequenceEqual(
|
||||
HStoreModel.objects.filter(field__has_key='g').order_by('field__g'),
|
||||
[more_objs[1], more_objs[2], more_objs[0], more_objs[3]]
|
||||
)
|
||||
|
||||
def test_keys_contains(self):
|
||||
self.assertSequenceEqual(
|
||||
HStoreModel.objects.filter(field__keys__contains=['a']),
|
||||
|
|
|
@ -141,6 +141,31 @@ class TestQuerying(PostgreSQLTestCase):
|
|||
[self.objs[0]]
|
||||
)
|
||||
|
||||
def test_ordering_by_transform(self):
|
||||
objs = [
|
||||
JSONModel.objects.create(field={'ord': 93, 'name': 'bar'}),
|
||||
JSONModel.objects.create(field={'ord': 22.1, 'name': 'foo'}),
|
||||
JSONModel.objects.create(field={'ord': -1, 'name': 'baz'}),
|
||||
JSONModel.objects.create(field={'ord': 21.931902, 'name': 'spam'}),
|
||||
JSONModel.objects.create(field={'ord': -100291029, 'name': 'eggs'}),
|
||||
]
|
||||
query = JSONModel.objects.filter(field__name__isnull=False).order_by('field__ord')
|
||||
self.assertSequenceEqual(query, [objs[4], objs[2], objs[3], objs[1], objs[0]])
|
||||
|
||||
def test_deep_values(self):
|
||||
query = JSONModel.objects.values_list('field__k__l')
|
||||
self.assertSequenceEqual(
|
||||
query,
|
||||
[
|
||||
(None,), (None,), (None,), (None,), (None,), (None,),
|
||||
(None,), (None,), ('m',), (None,), (None,), (None,),
|
||||
]
|
||||
)
|
||||
|
||||
def test_deep_distinct(self):
|
||||
query = JSONModel.objects.distinct('field__k__l').values_list('field__k__l')
|
||||
self.assertSequenceEqual(query, [('m',), (None,)])
|
||||
|
||||
def test_isnull_key(self):
|
||||
# key__isnull works the same as has_key='key'.
|
||||
self.assertSequenceEqual(
|
||||
|
|
Loading…
Reference in New Issue