Add partitioned DML support (#459)

* Add 'Datatbase.execute_partitioned_dml' method.

* Add system test which exercises PDML. both for UPDATE (with parameter)
  and DELETE.

spanner/google/cloud/spanner_v1/database.py

@@ -14,25 +14,32 @@
 
 """User friendly container for Cloud Spanner Database."""
 
+import copy
+import functools
 import re
 import threading
-import copy
 
 from google.api_core.gapic_v1 import client_info
 import google.auth.credentials
+from google.protobuf.struct_pb2 import Struct
 from google.cloud.exceptions import NotFound
 import six
 
 # pylint: disable=ungrouped-imports
 from google.cloud.spanner_v1 import __version__
+from google.cloud.spanner_v1._helpers import _make_value_pb
 from google.cloud.spanner_v1._helpers import _metadata_with_prefix
 from google.cloud.spanner_v1.batch import Batch
 from google.cloud.spanner_v1.gapic.spanner_client import SpannerClient
 from google.cloud.spanner_v1.keyset import KeySet
 from google.cloud.spanner_v1.pool import BurstyPool
 from google.cloud.spanner_v1.pool import SessionCheckout
 from google.cloud.spanner_v1.session import Session
+from google.cloud.spanner_v1.snapshot import _restart_on_unavailable
 from google.cloud.spanner_v1.snapshot import Snapshot
+from google.cloud.spanner_v1.streamed import StreamedResultSet
+from google.cloud.spanner_v1.proto.transaction_pb2 import (
+    TransactionSelector, TransactionOptions)
 # pylint: enable=ungrouped-imports
 
 
@@ -272,6 +279,70 @@ def drop(self):
         metadata = _metadata_with_prefix(self.name)
         api.drop_database(self.name, metadata=metadata)
 
+    def execute_partitioned_dml(
+            self, dml, params=None, param_types=None, query_mode=None):
+        """Execute a partitionable DML statement.
+
+        :type dml: str
+        :param dml: SQL DML statement
+
+        :type params: dict, {str -> column value}
+        :param params: values for parameter replacement.  Keys must match
+                       the names used in ``dml``.
+
+        :type param_types: dict[str -> Union[dict, .types.Type]]
+        :param param_types:
+            (Optional) maps explicit types for one or more param values;
+            required if parameters are passed.
+
+        :type query_mode:
+            :class:`google.cloud.spanner_v1.proto.ExecuteSqlRequest.QueryMode`
+        :param query_mode: Mode governing return of results / query plan. See
+            https://cloud.google.com/spanner/reference/rpc/google.spanner.v1#google.spanner.v1.ExecuteSqlRequest.QueryMode1
+
+        :rtype: int
+        :returns: Count of rows affected by the DML statement.
+        """
+        if params is not None:
+            if param_types is None:
+                raise ValueError(
+                    "Specify 'param_types' when passing 'params'.")
+            params_pb = Struct(fields={
+                key: _make_value_pb(value) for key, value in params.items()})
+        else:
+            params_pb = None
+
+        api = self.spanner_api
+
+        txn_options = TransactionOptions(
+            partitioned_dml=TransactionOptions.PartitionedDml())
+
+        metadata = _metadata_with_prefix(self.name)
+
+        with SessionCheckout(self._pool) as session:
+
+            txn = api.begin_transaction(
+                session.name, txn_options, metadata=metadata)
+
+            txn_selector = TransactionSelector(id=txn.id)
+
+            restart = functools.partial(
+                api.execute_streaming_sql,
+                session.name,
+                dml,
+                transaction=txn_selector,
+                params=params_pb,
+                param_types=param_types,
+                query_mode=query_mode,
+                metadata=metadata)
+
+            iterator = _restart_on_unavailable(restart)
+
+            result_set = StreamedResultSet(iterator)
+            list(result_set)  # consume all partials
+
+            return result_set.stats.row_count_lower_bound
+
     def session(self, labels=None):
         """Factory to create a session for this database.
 

spanner/google/cloud/spanner_v1/transaction.py

@@ -149,11 +149,8 @@ def execute_update(self, dml, params=None, param_types=None,
         :param query_mode: Mode governing return of results / query plan. See
             https://cloud.google.com/spanner/reference/rpc/google.spanner.v1#google.spanner.v1.ExecuteSqlRequest.QueryMode1
 
-        :rtype:
-            :class:`google.cloud.spanner_v1.proto.ExecuteSqlRequest.ResultSetStats`
-        :returns:
-            stats object, including count of rows affected by the DML
-            statement.
+        :rtype: int
+        :returns: Count of rows affected by the DML statement.
         """
         if params is not None:
             if param_types is None:

spanner/tests/system/test_system.py

@@ -730,6 +730,62 @@ def test_transaction_execute_update_then_insert_commit(self):
         rows = list(session.read(self.TABLE, self.COLUMNS, self.ALL))
         self._check_rows_data(rows)
 
+    def test_execute_partitioned_dml(self):
+        retry = RetryInstanceState(_has_all_ddl)
+        retry(self._db.reload)()
+
+        delete_statement = 'DELETE FROM {} WHERE true'.format(self.TABLE)
+
+        def _setup_table(txn):
+            txn.execute_update(delete_statement)
+            for insert_statement in self._generate_insert_statements():
+                txn.execute_update(insert_statement)
+
+        committed = self._db.run_in_transaction(_setup_table)
+
+        with self._db.snapshot(read_timestamp=committed) as snapshot:
+            before_pdml = list(snapshot.read(
+                    self.TABLE, self.COLUMNS, self.ALL))
+
+        self._check_rows_data(before_pdml)
+
+        nonesuch = '[email protected]'
+        target = '[email protected]'
+        update_statement = (
+            'UPDATE {table} SET {table}.email = @email '
+            'WHERE {table}.email = @target').format(
+                table=self.TABLE)
+
+        row_count = self._db.execute_partitioned_dml(
+            update_statement,
+            params={
+                'email': nonesuch,
+                'target': target,
+            },
+            param_types={
+                'email': Type(code=STRING),
+                'target': Type(code=STRING),
+            },
+        )
+        self.assertEqual(row_count, 1)
+
+        row = self.ROW_DATA[0]
+        updated = [row[:3] + (nonesuch,)] + list(self.ROW_DATA[1:])
+
+        with self._db.snapshot(read_timestamp=committed) as snapshot:
+            after_update = list(snapshot.read(
+                    self.TABLE, self.COLUMNS, self.ALL))
+        self._check_rows_data(after_update, updated)
+
+        row_count = self._db.execute_partitioned_dml(delete_statement)
+        self.assertEqual(row_count, len(self.ROW_DATA))
+
+        with self._db.snapshot(read_timestamp=committed) as snapshot:
+            after_delete = list(snapshot.read(
+                    self.TABLE, self.COLUMNS, self.ALL))
+
+        self._check_rows_data(after_delete, [])
+
     def _transaction_concurrency_helper(self, unit_of_work, pkey):
         INITIAL_VALUE = 123
         NUM_THREADS = 3     # conforms to equivalent Java systest.