634 lines
17 KiB
Python
634 lines
17 KiB
Python
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# testing/requirements.py
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# Copyright (C) 2005-2014 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: http://www.opensource.org/licenses/mit-license.php
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"""Global database feature support policy.
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Provides decorators to mark tests requiring specific feature support from the
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target database.
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External dialect test suites should subclass SuiteRequirements
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to provide specific inclusion/exclusions.
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"""
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from . import exclusions
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class Requirements(object):
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pass
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class SuiteRequirements(Requirements):
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@property
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def create_table(self):
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"""target platform can emit basic CreateTable DDL."""
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return exclusions.open()
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@property
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def drop_table(self):
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"""target platform can emit basic DropTable DDL."""
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return exclusions.open()
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@property
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def foreign_keys(self):
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"""Target database must support foreign keys."""
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return exclusions.open()
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@property
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def on_update_cascade(self):
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""""target database must support ON UPDATE..CASCADE behavior in
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foreign keys."""
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return exclusions.open()
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@property
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def non_updating_cascade(self):
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"""target database must *not* support ON UPDATE..CASCADE behavior in
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foreign keys."""
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return exclusions.closed()
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@property
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def deferrable_fks(self):
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return exclusions.closed()
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@property
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def on_update_or_deferrable_fks(self):
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# TODO: exclusions should be composable,
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# somehow only_if([x, y]) isn't working here, negation/conjunctions
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# getting confused.
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return exclusions.only_if(
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lambda: self.on_update_cascade.enabled or
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self.deferrable_fks.enabled
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)
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@property
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def self_referential_foreign_keys(self):
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"""Target database must support self-referential foreign keys."""
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return exclusions.open()
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@property
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def foreign_key_ddl(self):
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"""Target database must support the DDL phrases for FOREIGN KEY."""
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return exclusions.open()
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@property
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def named_constraints(self):
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"""target database must support names for constraints."""
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return exclusions.open()
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@property
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def subqueries(self):
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"""Target database must support subqueries."""
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return exclusions.open()
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@property
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def offset(self):
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"""target database can render OFFSET, or an equivalent, in a
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SELECT.
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"""
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return exclusions.open()
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@property
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def boolean_col_expressions(self):
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"""Target database must support boolean expressions as columns"""
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return exclusions.closed()
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@property
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def nullsordering(self):
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"""Target backends that support nulls ordering."""
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return exclusions.closed()
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@property
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def standalone_binds(self):
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"""target database/driver supports bound parameters as column expressions
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without being in the context of a typed column.
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"""
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return exclusions.closed()
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@property
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def intersect(self):
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"""Target database must support INTERSECT or equivalent."""
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return exclusions.closed()
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@property
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def except_(self):
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"""Target database must support EXCEPT or equivalent (i.e. MINUS)."""
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return exclusions.closed()
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@property
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def window_functions(self):
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"""Target database must support window functions."""
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return exclusions.closed()
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@property
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def autoincrement_insert(self):
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"""target platform generates new surrogate integer primary key values
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when insert() is executed, excluding the pk column."""
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return exclusions.open()
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@property
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def fetch_rows_post_commit(self):
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"""target platform will allow cursor.fetchone() to proceed after a
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COMMIT.
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Typically this refers to an INSERT statement with RETURNING which
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is invoked within "autocommit". If the row can be returned
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after the autocommit, then this rule can be open.
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"""
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return exclusions.open()
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@property
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def empty_inserts(self):
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"""target platform supports INSERT with no values, i.e.
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INSERT DEFAULT VALUES or equivalent."""
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return exclusions.only_if(
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lambda config: config.db.dialect.supports_empty_insert or
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config.db.dialect.supports_default_values,
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"empty inserts not supported"
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)
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@property
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def insert_from_select(self):
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"""target platform supports INSERT from a SELECT."""
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return exclusions.open()
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@property
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def returning(self):
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"""target platform supports RETURNING."""
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return exclusions.only_if(
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lambda config: config.db.dialect.implicit_returning,
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"'returning' not supported by database"
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)
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@property
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def duplicate_names_in_cursor_description(self):
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"""target platform supports a SELECT statement that has
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the same name repeated more than once in the columns list."""
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return exclusions.open()
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@property
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def denormalized_names(self):
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"""Target database must have 'denormalized', i.e.
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UPPERCASE as case insensitive names."""
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return exclusions.skip_if(
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lambda config: not config.db.dialect.requires_name_normalize,
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"Backend does not require denormalized names."
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)
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@property
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def multivalues_inserts(self):
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"""target database must support multiple VALUES clauses in an
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INSERT statement."""
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return exclusions.skip_if(
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lambda config: not config.db.dialect.supports_multivalues_insert,
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"Backend does not support multirow inserts."
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)
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@property
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def implements_get_lastrowid(self):
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""""target dialect implements the executioncontext.get_lastrowid()
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method without reliance on RETURNING.
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"""
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return exclusions.open()
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@property
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def emulated_lastrowid(self):
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""""target dialect retrieves cursor.lastrowid, or fetches
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from a database-side function after an insert() construct executes,
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within the get_lastrowid() method.
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Only dialects that "pre-execute", or need RETURNING to get last
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inserted id, would return closed/fail/skip for this.
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"""
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return exclusions.closed()
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@property
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def dbapi_lastrowid(self):
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""""target platform includes a 'lastrowid' accessor on the DBAPI
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cursor object.
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"""
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return exclusions.closed()
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@property
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def views(self):
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"""Target database must support VIEWs."""
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return exclusions.closed()
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@property
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def schemas(self):
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"""Target database must support external schemas, and have one
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named 'test_schema'."""
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return exclusions.closed()
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@property
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def sequences(self):
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"""Target database must support SEQUENCEs."""
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return exclusions.only_if([
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lambda config: config.db.dialect.supports_sequences
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], "no sequence support")
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@property
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def sequences_optional(self):
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"""Target database supports sequences, but also optionally
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as a means of generating new PK values."""
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return exclusions.only_if([
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lambda config: config.db.dialect.supports_sequences and
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config.db.dialect.sequences_optional
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], "no sequence support, or sequences not optional")
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@property
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def reflects_pk_names(self):
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return exclusions.closed()
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@property
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def table_reflection(self):
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return exclusions.open()
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@property
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def view_column_reflection(self):
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"""target database must support retrieval of the columns in a view,
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similarly to how a table is inspected.
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This does not include the full CREATE VIEW definition.
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"""
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return self.views
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@property
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def view_reflection(self):
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"""target database must support inspection of the full CREATE VIEW definition.
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"""
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return self.views
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@property
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def schema_reflection(self):
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return self.schemas
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@property
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def primary_key_constraint_reflection(self):
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return exclusions.open()
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@property
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def foreign_key_constraint_reflection(self):
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return exclusions.open()
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@property
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def index_reflection(self):
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return exclusions.open()
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@property
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def unique_constraint_reflection(self):
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"""target dialect supports reflection of unique constraints"""
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return exclusions.open()
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@property
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def unbounded_varchar(self):
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"""Target database must support VARCHAR with no length"""
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return exclusions.open()
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@property
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def unicode_data(self):
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"""Target database/dialect must support Python unicode objects with
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non-ASCII characters represented, delivered as bound parameters
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as well as in result rows.
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"""
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return exclusions.open()
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@property
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def unicode_ddl(self):
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"""Target driver must support some degree of non-ascii symbol
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names.
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"""
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return exclusions.closed()
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@property
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def datetime_literals(self):
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"""target dialect supports rendering of a date, time, or datetime as a
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literal string, e.g. via the TypeEngine.literal_processor() method.
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"""
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return exclusions.closed()
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@property
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def datetime(self):
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"""target dialect supports representation of Python
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datetime.datetime() objects."""
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return exclusions.open()
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@property
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def datetime_microseconds(self):
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"""target dialect supports representation of Python
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datetime.datetime() with microsecond objects."""
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return exclusions.open()
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@property
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def datetime_historic(self):
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"""target dialect supports representation of Python
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datetime.datetime() objects with historic (pre 1970) values."""
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return exclusions.closed()
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@property
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def date(self):
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"""target dialect supports representation of Python
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datetime.date() objects."""
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return exclusions.open()
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@property
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def date_coerces_from_datetime(self):
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"""target dialect accepts a datetime object as the target
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of a date column."""
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return exclusions.open()
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@property
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def date_historic(self):
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"""target dialect supports representation of Python
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datetime.datetime() objects with historic (pre 1970) values."""
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return exclusions.closed()
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@property
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def time(self):
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"""target dialect supports representation of Python
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datetime.time() objects."""
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return exclusions.open()
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@property
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def time_microseconds(self):
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"""target dialect supports representation of Python
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datetime.time() with microsecond objects."""
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return exclusions.open()
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@property
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def binary_comparisons(self):
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"""target database/driver can allow BLOB/BINARY fields to be compared
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against a bound parameter value.
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"""
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return exclusions.open()
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@property
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def binary_literals(self):
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"""target backend supports simple binary literals, e.g. an
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expression like::
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SELECT CAST('foo' AS BINARY)
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Where ``BINARY`` is the type emitted from :class:`.LargeBinary`,
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e.g. it could be ``BLOB`` or similar.
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Basically fails on Oracle.
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"""
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return exclusions.open()
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@property
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def precision_numerics_general(self):
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"""target backend has general support for moderately high-precision
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numerics."""
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return exclusions.open()
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@property
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def precision_numerics_enotation_small(self):
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"""target backend supports Decimal() objects using E notation
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to represent very small values."""
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return exclusions.closed()
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||
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|
|
||
|
|
@property
|
||
|
|
def precision_numerics_enotation_large(self):
|
||
|
|
"""target backend supports Decimal() objects using E notation
|
||
|
|
to represent very large values."""
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def precision_numerics_many_significant_digits(self):
|
||
|
|
"""target backend supports values with many digits on both sides,
|
||
|
|
such as 319438950232418390.273596, 87673.594069654243
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def precision_numerics_retains_significant_digits(self):
|
||
|
|
"""A precision numeric type will return empty significant digits,
|
||
|
|
i.e. a value such as 10.000 will come back in Decimal form with
|
||
|
|
the .000 maintained."""
|
||
|
|
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def precision_generic_float_type(self):
|
||
|
|
"""target backend will return native floating point numbers with at
|
||
|
|
least seven decimal places when using the generic Float type.
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def floats_to_four_decimals(self):
|
||
|
|
"""target backend can return a floating-point number with four
|
||
|
|
significant digits (such as 15.7563) accurately
|
||
|
|
(i.e. without FP inaccuracies, such as 15.75629997253418).
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def fetch_null_from_numeric(self):
|
||
|
|
"""target backend doesn't crash when you try to select a NUMERIC
|
||
|
|
value that has a value of NULL.
|
||
|
|
|
||
|
|
Added to support Pyodbc bug #351.
|
||
|
|
"""
|
||
|
|
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def text_type(self):
|
||
|
|
"""Target database must support an unbounded Text() "
|
||
|
|
"type such as TEXT or CLOB"""
|
||
|
|
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def empty_strings_varchar(self):
|
||
|
|
"""target database can persist/return an empty string with a
|
||
|
|
varchar.
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def empty_strings_text(self):
|
||
|
|
"""target database can persist/return an empty string with an
|
||
|
|
unbounded text."""
|
||
|
|
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def selectone(self):
|
||
|
|
"""target driver must support the literal statement 'select 1'"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def savepoints(self):
|
||
|
|
"""Target database must support savepoints."""
|
||
|
|
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def two_phase_transactions(self):
|
||
|
|
"""Target database must support two-phase transactions."""
|
||
|
|
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def update_from(self):
|
||
|
|
"""Target must support UPDATE..FROM syntax"""
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def update_where_target_in_subquery(self):
|
||
|
|
"""Target must support UPDATE where the same table is present in a
|
||
|
|
subquery in the WHERE clause.
|
||
|
|
|
||
|
|
This is an ANSI-standard syntax that apparently MySQL can't handle,
|
||
|
|
such as:
|
||
|
|
|
||
|
|
UPDATE documents SET flag=1 WHERE documents.title IN
|
||
|
|
(SELECT max(documents.title) AS title
|
||
|
|
FROM documents GROUP BY documents.user_id
|
||
|
|
)
|
||
|
|
"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def mod_operator_as_percent_sign(self):
|
||
|
|
"""target database must use a plain percent '%' as the 'modulus'
|
||
|
|
operator."""
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def percent_schema_names(self):
|
||
|
|
"""target backend supports weird identifiers with percent signs
|
||
|
|
in them, e.g. 'some % column'.
|
||
|
|
|
||
|
|
this is a very weird use case but often has problems because of
|
||
|
|
DBAPIs that use python formatting. It's not a critical use
|
||
|
|
case either.
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def order_by_label_with_expression(self):
|
||
|
|
"""target backend supports ORDER BY a column label within an
|
||
|
|
expression.
|
||
|
|
|
||
|
|
Basically this::
|
||
|
|
|
||
|
|
select data as foo from test order by foo || 'bar'
|
||
|
|
|
||
|
|
Lots of databases including Postgresql don't support this,
|
||
|
|
so this is off by default.
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.closed()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def unicode_connections(self):
|
||
|
|
"""Target driver must support non-ASCII characters being passed at
|
||
|
|
all.
|
||
|
|
"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def skip_mysql_on_windows(self):
|
||
|
|
"""Catchall for a large variety of MySQL on Windows failures"""
|
||
|
|
return exclusions.open()
|
||
|
|
|
||
|
|
@property
|
||
|
|
def ad_hoc_engines(self):
|
||
|
|
"""Test environment must allow ad-hoc engine/connection creation.
|
||
|
|
|
||
|
|
DBs that scale poorly for many connections, even when closed, i.e.
|
||
|
|
Oracle, may use the "--low-connections" option which flags this
|
||
|
|
requirement as not present.
|
||
|
|
|
||
|
|
"""
|
||
|
|
return exclusions.skip_if(
|
||
|
|
lambda config: config.options.low_connections)
|
||
|
|
|
||
|
|
def _has_mysql_on_windows(self, config):
|
||
|
|
return False
|
||
|
|
|
||
|
|
def _has_mysql_fully_case_sensitive(self, config):
|
||
|
|
return False
|
||
|
|
|
||
|
|
@property
|
||
|
|
def sqlite(self):
|
||
|
|
return exclusions.skip_if(lambda: not self._has_sqlite())
|
||
|
|
|
||
|
|
@property
|
||
|
|
def cextensions(self):
|
||
|
|
return exclusions.skip_if(
|
||
|
|
lambda: not self._has_cextensions(), "C extensions not installed"
|
||
|
|
)
|
||
|
|
|
||
|
|
def _has_sqlite(self):
|
||
|
|
from sqlalchemy import create_engine
|
||
|
|
try:
|
||
|
|
create_engine('sqlite://')
|
||
|
|
return True
|
||
|
|
except ImportError:
|
||
|
|
return False
|
||
|
|
|
||
|
|
def _has_cextensions(self):
|
||
|
|
try:
|
||
|
|
from sqlalchemy import cresultproxy, cprocessors
|
||
|
|
return True
|
||
|
|
except ImportError:
|
||
|
|
return False
|