Coverage for python / lsst / daf / butler / registry / opaque.py: 29%
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28"""The default concrete implementations of the classes that manage
29opaque tables for `Registry`.
30"""
32from __future__ import annotations
34__all__ = ["ByNameOpaqueTableStorage", "ByNameOpaqueTableStorageManager"]
36import itertools
37from collections.abc import Iterable, Iterator
38from typing import TYPE_CHECKING, Any, ClassVar
40import sqlalchemy
42from .._utilities.thread_safe_cache import ThreadSafeCache
43from ..ddl import FieldSpec, TableSpec
44from .interfaces import (
45 Database,
46 OpaqueTableStorage,
47 OpaqueTableStorageManager,
48 StaticTablesContext,
49 VersionTuple,
50)
52if TYPE_CHECKING:
53 from ..datastore import DatastoreTransaction
55# This has to be updated on every schema change
56_VERSION = VersionTuple(0, 2, 0)
59class ByNameOpaqueTableStorage(OpaqueTableStorage):
60 """An implementation of `OpaqueTableStorage` that simply creates a true
61 table for each different named opaque logical table.
63 A `ByNameOpaqueTableStorageManager` instance should always be used to
64 construct and manage instances of this class.
66 Parameters
67 ----------
68 db : `Database`
69 Database engine interface for the namespace in which this table lives.
70 name : `str`
71 Name of the logical table (also used as the name of the actual table).
72 table : `sqlalchemy.schema.Table`
73 SQLAlchemy representation of the table, which must have already been
74 created in the namespace managed by ``db`` (this is the responsibility
75 of `ByNameOpaqueTableStorageManager`).
76 """
78 def __init__(self, *, db: Database, name: str, table: sqlalchemy.schema.Table):
79 super().__init__(name=name)
80 self._db = db
81 self._table = table
83 def insert(self, *data: dict, transaction: DatastoreTransaction | None = None) -> None:
84 # Docstring inherited from OpaqueTableStorage.
85 # The provided transaction object can be ignored since we rely on
86 # the database itself providing any rollback functionality.
87 self._db.insert(self._table, *data)
89 def ensure(self, *data: dict, transaction: DatastoreTransaction | None = None) -> None:
90 # Docstring inherited from OpaqueTableStorage.
91 # The provided transaction object can be ignored since we rely on
92 # the database itself providing any rollback functionality.
93 self._db.ensure(self._table, *data)
95 def replace(self, *data: dict, transaction: DatastoreTransaction | None = None) -> None:
96 # Docstring inherited from OpaqueTableStorage.
97 # The provided transaction object can be ignored since we rely on
98 # the database itself providing any rollback functionality.
99 self._db.replace(self._table, *data)
101 def fetch(
102 self,
103 **where: Any,
104 ) -> Iterator[sqlalchemy.RowMapping]:
105 # Docstring inherited from OpaqueTableStorage.
107 def _batch_in_clause(
108 column: sqlalchemy.schema.Column, values: Iterable[Any]
109 ) -> Iterator[sqlalchemy.sql.expression.ClauseElement]:
110 """Split one long IN clause into a series of shorter ones."""
111 in_limit = 1000
112 # We have to remove possible duplicates from values; and in many
113 # cases it should be helpful to order the items in the clause.
114 values = sorted(set(values))
115 for iposn in range(0, len(values), in_limit):
116 in_clause = column.in_(values[iposn : iposn + in_limit])
117 yield in_clause
119 def _batch_in_clauses(**where: Any) -> Iterator[sqlalchemy.sql.expression.ColumnElement]:
120 """Generate a sequence of WHERE clauses with a limited number of
121 items in IN clauses.
122 """
123 batches: list[Iterable[Any]] = []
124 for k, v in where.items():
125 column = self._table.columns[k]
126 if isinstance(v, list | tuple | set):
127 batches.append(_batch_in_clause(column, v))
128 else:
129 if isinstance(v, str) and v.endswith("%"):
130 # Special case prefix queries.
131 batches.append([column.startswith(v[:-1])])
132 else:
133 # single "batch" for a regular eq operator
134 batches.append([column == v])
136 for clauses in itertools.product(*batches):
137 yield sqlalchemy.sql.and_(*clauses)
139 sql = self._table.select()
140 if where:
141 # Split long IN clauses into shorter batches
142 batched_sql = [sql.where(clause) for clause in _batch_in_clauses(**where)]
143 else:
144 batched_sql = [sql]
145 for sql_batch in batched_sql:
146 with self._db.query(sql_batch) as sql_result:
147 sql_mappings = sql_result.mappings().fetchall()
148 yield from sql_mappings
150 def delete(self, columns: Iterable[str], *rows: dict) -> None:
151 # Docstring inherited from OpaqueTableStorage.
152 self._db.delete(self._table, columns, *rows)
155class ByNameOpaqueTableStorageManager(OpaqueTableStorageManager):
156 """An implementation of `OpaqueTableStorageManager` that simply creates a
157 true table for each different named opaque logical table.
159 Instances of this class should generally be constructed via the
160 `initialize` class method instead of invoking ``__init__`` directly.
162 Parameters
163 ----------
164 db : `Database`
165 Database engine interface for the namespace in which this table lives.
166 metaTable : `sqlalchemy.schema.Table`
167 SQLAlchemy representation of the table that records which opaque
168 logical tables exist.
169 tables : `ThreadSafeCache` [`str`, `~sqlalchemy.schema.Table`]
170 Mapping from string to table, to track which tables have already been
171 created. This mapping is shared between cloned instances of this
172 manager.
173 registry_schema_version : `VersionTuple` or `None`, optional
174 Version of registry schema.
175 """
177 def __init__(
178 self,
179 db: Database,
180 metaTable: sqlalchemy.schema.Table,
181 tables: ThreadSafeCache[str, sqlalchemy.schema.Table],
182 registry_schema_version: VersionTuple | None = None,
183 ):
184 super().__init__(registry_schema_version=registry_schema_version)
185 self._db = db
186 self._metaTable = metaTable
187 self._tables = tables
189 def clone(self, db: Database) -> ByNameOpaqueTableStorageManager:
190 return ByNameOpaqueTableStorageManager(
191 db, self._metaTable, self._tables, self._registry_schema_version
192 )
194 _META_TABLE_NAME: ClassVar[str] = "opaque_meta"
196 _META_TABLE_SPEC: ClassVar[TableSpec] = TableSpec(
197 fields=[
198 FieldSpec("table_name", dtype=sqlalchemy.String, length=128, primaryKey=True),
199 ],
200 )
202 @classmethod
203 def initialize(
204 cls, db: Database, context: StaticTablesContext, registry_schema_version: VersionTuple | None = None
205 ) -> OpaqueTableStorageManager:
206 # Docstring inherited from OpaqueTableStorageManager.
207 metaTable = context.addTable(cls._META_TABLE_NAME, cls._META_TABLE_SPEC)
208 return cls(
209 db=db,
210 metaTable=metaTable,
211 tables=ThreadSafeCache(),
212 registry_schema_version=registry_schema_version,
213 )
215 def get(self, name: str) -> OpaqueTableStorage | None:
216 # Docstring inherited from OpaqueTableStorageManager.
217 table = self._tables.get(name)
218 if table is None:
219 return None
220 return ByNameOpaqueTableStorage(name=name, table=table, db=self._db)
222 def register(self, name: str, spec: TableSpec) -> OpaqueTableStorage:
223 # Docstring inherited from OpaqueTableStorageManager.
224 result = self.get(name)
225 if result is None:
226 # Create the table itself. If it already exists but wasn't in
227 # the dict because it was added by another client since this one
228 # was initialized, that's fine.
229 table = self._db.ensureTableExists(name, spec)
230 # Add a row to the meta table so we can find this table in the
231 # future. Also okay if that already exists, so we use sync.
232 self._db.sync(self._metaTable, keys={"table_name": name})
233 self._tables.set_or_get(name, table)
234 result = self.get(name)
235 assert result is not None
236 return result
238 @classmethod
239 def currentVersions(cls) -> list[VersionTuple]:
240 # Docstring inherited from VersionedExtension.
241 return [_VERSION]