feat: Implementation for batch dml in dbapi

google/cloud/spanner_dbapi/batch_dml_executor.py

@@ -0,0 +1,131 @@
+# Copyright 2023 Google LLC All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import annotations
+
+from enum import Enum
+from typing import TYPE_CHECKING, List
+from google.cloud.spanner_dbapi.checksum import ResultsChecksum
+from google.cloud.spanner_dbapi.parsed_statement import (
+    ParsedStatement,
+    StatementType,
+    Statement,
+)
+from google.rpc.code_pb2 import ABORTED, OK
+from google.api_core.exceptions import Aborted
+
+from google.cloud.spanner_dbapi.utils import StreamedManyResultSets
+
+if TYPE_CHECKING:
+    from google.cloud.spanner_dbapi.cursor import Cursor
+
+
+class BatchDmlExecutor:
+    """Executor that is used when a DML batch is started. These batches only
+    accept DML statements. All DML statements are buffered locally and sent to
+    Spanner when runBatch() is called.
+
+    :type "Cursor": :class:`~google.cloud.spanner_dbapi.cursor.Cursor`
+    :param cursor:
+    """
+
+    def __init__(self, cursor: "Cursor"):
+        self._cursor = cursor
+        self._connection = cursor.connection
+        self._statements: List[Statement] = []
+
+    def execute_statement(self, parsed_statement: ParsedStatement):
+        """Executes the statement when dml batch is active by buffering the
+        statement in-memory.
+
+        :type parsed_statement: ParsedStatement
+        :param parsed_statement: parsed statement containing sql query and query
+         params
+        """
+        from google.cloud.spanner_dbapi import ProgrammingError
+
+        if (
+            parsed_statement.statement_type != StatementType.UPDATE
+            and parsed_statement.statement_type != StatementType.INSERT
+        ):
+            raise ProgrammingError("Only DML statements are allowed in batch DML mode.")
+        self._statements.append(parsed_statement.statement)
+
+    def run_batch_dml(self):
+        """Executes all the buffered statements on the active dml batch by
+        making a call to Spanner.
+        """
+        return run_batch_dml(self._cursor, self._statements)
+
+
+def run_batch_dml(cursor: "Cursor", statements: List[Statement]):
+    """Executes all the dml statements by making a batch call to Spanner.
+
+    :type cursor: Cursor
+    :param cursor: Database Cursor object
+
+    :type statements: List[Statement]
+    :param statements: list of statements to execute in batch
+    """
+    from google.cloud.spanner_dbapi import OperationalError
+
+    connection = cursor.connection
+    many_result_set = StreamedManyResultSets()
+    statements_tuple = []
+    for statement in statements:
+        statements_tuple.append(statement.get_tuple())
+    if not connection._client_transaction_started:
+        res = connection.database.run_in_transaction(_do_batch_update, statements_tuple)
+        many_result_set.add_iter(res)
+        cursor._row_count = sum([max(val, 0) for val in res])
+    else:
+        retried = False
+        while True:
+            try:
+                transaction = connection.transaction_checkout()
+                status, res = transaction.batch_update(statements_tuple)
+                many_result_set.add_iter(res)
+                res_checksum = ResultsChecksum()
+                res_checksum.consume_result(res)
+                res_checksum.consume_result(status.code)
+                if not retried:
+                    connection._statements.append((statements, res_checksum))
+                cursor._row_count = sum([max(val, 0) for val in res])
+
+                if status.code == ABORTED:
+                    connection._transaction = None
+                    raise Aborted(status.message)
+                elif status.code != OK:
+                    raise OperationalError(status.message)
+                return many_result_set
+            except Aborted:
+                connection.retry_transaction()
+                retried = True
+
+
+def _do_batch_update(transaction, statements):
+    from google.cloud.spanner_dbapi import OperationalError
+
+    status, res = transaction.batch_update(statements)
+    if status.code == ABORTED:
+        raise Aborted(status.message)
+    elif status.code != OK:
+        raise OperationalError(status.message)
+    return res
+
+
+class BatchMode(Enum):
+    DML = 1
+    DDL = 2
+    NONE = 3

google/cloud/spanner_dbapi/client_side_statement_executor.py

@@ -14,7 +14,7 @@
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from google.cloud.spanner_dbapi import Connection
+    from google.cloud.spanner_dbapi.cursor import Cursor
     from google.cloud.spanner_dbapi import ProgrammingError
 
 from google.cloud.spanner_dbapi.parsed_statement import (
@@ -38,17 +38,18 @@
 )
 
 
-def execute(connection: "Connection", parsed_statement: ParsedStatement):
+def execute(cursor: "Cursor", parsed_statement: ParsedStatement):
     """Executes the client side statements by calling the relevant method.
 
     It is an internal method that can make backwards-incompatible changes.
 
-    :type connection: Connection
-    :param connection: Connection object of the dbApi
+    :type cursor: Cursor
+    :param cursor: Cursor object of the dbApi
 
     :type parsed_statement: ParsedStatement
     :param parsed_statement: parsed_statement based on the sql query
     """
+    connection = cursor.connection
     if connection.is_closed:
         raise ProgrammingError(CONNECTION_CLOSED_ERROR)
     statement_type = parsed_statement.client_side_statement_type
@@ -81,6 +82,13 @@ def execute(connection: "Connection", parsed_statement: ParsedStatement):
             TypeCode.TIMESTAMP,
             read_timestamp,
         )
+    if statement_type == ClientSideStatementType.START_BATCH_DML:
+        connection.start_batch_dml(cursor)
+        return None
+    if statement_type == ClientSideStatementType.RUN_BATCH:
+        return connection.run_batch()
+    if statement_type == ClientSideStatementType.ABORT_BATCH:
+        return connection.abort_batch()
 
 
 def _get_streamed_result_set(column_name, type_code, column_value):

google/cloud/spanner_dbapi/client_side_statement_parser.py

@@ -18,6 +18,7 @@
     ParsedStatement,
     StatementType,
     ClientSideStatementType,
+    Statement,
 )
 
 RE_BEGIN = re.compile(r"^\s*(BEGIN|START)(TRANSACTION)?", re.IGNORECASE)
@@ -29,6 +30,9 @@
 RE_SHOW_READ_TIMESTAMP = re.compile(
     r"^\s*(SHOW)\s+(VARIABLE)\s+(READ_TIMESTAMP)", re.IGNORECASE
 )
+RE_START_BATCH_DML = re.compile(r"^\s*(START)\s+(BATCH)\s+(DML)", re.IGNORECASE)
+RE_RUN_BATCH = re.compile(r"^\s*(RUN)\s+(BATCH)", re.IGNORECASE)
+RE_ABORT_BATCH = re.compile(r"^\s*(ABORT)\s+(BATCH)", re.IGNORECASE)
 
 
 def parse_stmt(query):
@@ -54,8 +58,14 @@ def parse_stmt(query):
         client_side_statement_type = ClientSideStatementType.SHOW_COMMIT_TIMESTAMP
     if RE_SHOW_READ_TIMESTAMP.match(query):
         client_side_statement_type = ClientSideStatementType.SHOW_READ_TIMESTAMP
+    if RE_START_BATCH_DML.match(query):
+        client_side_statement_type = ClientSideStatementType.START_BATCH_DML
+    if RE_RUN_BATCH.match(query):
+        client_side_statement_type = ClientSideStatementType.RUN_BATCH
+    if RE_ABORT_BATCH.match(query):
+        client_side_statement_type = ClientSideStatementType.ABORT_BATCH
     if client_side_statement_type is not None:
         return ParsedStatement(
-            StatementType.CLIENT_SIDE, query, client_side_statement_type
+            StatementType.CLIENT_SIDE, Statement(query), client_side_statement_type
         )
     return None

google/cloud/spanner_dbapi/connection.py

@@ -13,13 +13,14 @@
 # limitations under the License.
 
 """DB-API Connection for the Google Cloud Spanner."""
-
 import time
 import warnings
 
 from google.api_core.exceptions import Aborted
 from google.api_core.gapic_v1.client_info import ClientInfo
 from google.cloud import spanner_v1 as spanner
+from google.cloud.spanner_dbapi.batch_dml_executor import BatchMode, BatchDmlExecutor
+from google.cloud.spanner_dbapi.parsed_statement import ParsedStatement, Statement
 from google.cloud.spanner_v1 import RequestOptions
 from google.cloud.spanner_v1.session import _get_retry_delay
 from google.cloud.spanner_v1.snapshot import Snapshot
@@ -28,7 +29,11 @@
 from google.cloud.spanner_dbapi.checksum import _compare_checksums
 from google.cloud.spanner_dbapi.checksum import ResultsChecksum
 from google.cloud.spanner_dbapi.cursor import Cursor
-from google.cloud.spanner_dbapi.exceptions import InterfaceError, OperationalError
+from google.cloud.spanner_dbapi.exceptions import (
+    InterfaceError,
+    OperationalError,
+    ProgrammingError,
+)
 from google.cloud.spanner_dbapi.version import DEFAULT_USER_AGENT
 from google.cloud.spanner_dbapi.version import PY_VERSION
 
@@ -111,6 +116,8 @@ def __init__(self, instance, database=None, read_only=False):
         # whether transaction started at Spanner. This means that we had
         # made atleast one call to Spanner.
         self._spanner_transaction_started = False
+        self._batch_mode = BatchMode.NONE
+        self._batch_dml_executor: BatchDmlExecutor = None
 
     @property
     def autocommit(self):
@@ -310,7 +317,10 @@ def _rerun_previous_statements(self):
                 statements, checksum = statement
 
                 transaction = self.transaction_checkout()
-                status, res = transaction.batch_update(statements)
+                statements_tuple = []
+                for single_statement in statements:
+                    statements_tuple.append(single_statement.get_tuple())
+                status, res = transaction.batch_update(statements_tuple)
 
                 if status.code == ABORTED:
                     raise Aborted(status.details)
@@ -476,14 +486,14 @@ def run_prior_DDL_statements(self):
 
             return self.database.update_ddl(ddl_statements).result()
 
-    def run_statement(self, statement, retried=False):
+    def run_statement(self, statement: Statement, retried=False):
         """Run single SQL statement in begun transaction.
 
         This method is never used in autocommit mode. In
         !autocommit mode however it remembers every executed
         SQL statement with its parameters.
 
-        :type statement: :class:`dict`
+        :type statement: :class:`Statement`
         :param statement: SQL statement to execute.
 
         :type retried: bool
@@ -534,6 +544,47 @@ def validate(self):
                     "Expected: [[1]]" % result
                 )
 
+    @check_not_closed
+    def start_batch_dml(self, cursor):
+        if self._batch_mode is not BatchMode.NONE:
+            raise ProgrammingError(
+                "Cannot start a DML batch when a batch is already active"
+            )
+        if self.read_only:
+            raise ProgrammingError(
+                "Cannot start a DML batch when the connection is in read-only mode"
+            )
+        self._batch_mode = BatchMode.DML
+        self._batch_dml_executor = BatchDmlExecutor(cursor)
+
+    @check_not_closed
+    def execute_batch_dml_statement(self, parsed_statement: ParsedStatement):
+        if self._batch_mode is not BatchMode.DML:
+            raise ProgrammingError(
+                "Cannot execute statement when the BatchMode is not DML"
+            )
+        self._batch_dml_executor.execute_statement(parsed_statement)
+
+    @check_not_closed
+    def run_batch(self):
+        if self._batch_mode is BatchMode.NONE:
+            raise ProgrammingError("Cannot run a batch when the BatchMode is not set")
+        try:
+            if self._batch_mode is BatchMode.DML:
+                many_result_set = self._batch_dml_executor.run_batch_dml()
+        finally:
+            self._batch_mode = BatchMode.NONE
+            self._batch_dml_executor = None
+        return many_result_set
+
+    @check_not_closed
+    def abort_batch(self):
+        if self._batch_mode is BatchMode.NONE:
+            raise ProgrammingError("Cannot abort a batch when the BatchMode is not set")
+        if self._batch_mode is BatchMode.DML:
+            self._batch_dml_executor = None
+        self._batch_mode = BatchMode.NONE
+
     def __enter__(self):
         return self