[ PECO-2065 ] Create the async execution flow for the PySQL Connector

src/databricks/sql/client.py

@@ -1,3 +1,4 @@
+import time
 from typing import Dict, Tuple, List, Optional, Any, Union, Sequence
 
 import pandas
@@ -47,6 +48,7 @@
 
 from databricks.sql.thrift_api.TCLIService.ttypes import (
     TSparkParameter,
+    TOperationState,
 )
 
 
@@ -430,6 +432,8 @@ def __init__(
         self.escaper = ParamEscaper()
         self.lastrowid = None
 
+        self.ASYNC_DEFAULT_POLLING_INTERVAL = 2
+
     # The ideal return type for this method is perhaps Self, but that was not added until 3.11, and we support pre-3.11 pythons, currently.
     def __enter__(self) -> "Cursor":
         return self
@@ -796,6 +800,7 @@ def execute(
             cursor=self,
             use_cloud_fetch=self.connection.use_cloud_fetch,
             parameters=prepared_params,
+            async_op=False,
         )
         self.active_result_set = ResultSet(
             self.connection,
@@ -812,6 +817,106 @@ def execute(
 
         return self
 
+    def execute_async(
+        self,
+        operation: str,
+        parameters: Optional[TParameterCollection] = None,
+    ) -> "Cursor":
+        """
+
+        Execute a query and do not wait for it to complete and just move ahead
+
+        :param operation:
+        :param parameters:
+        :return:
+        """
+        param_approach = self._determine_parameter_approach(parameters)
+        if param_approach == ParameterApproach.NONE:
+            prepared_params = NO_NATIVE_PARAMS
+            prepared_operation = operation
+
+        elif param_approach == ParameterApproach.INLINE:
+            prepared_operation, prepared_params = self._prepare_inline_parameters(
+                operation, parameters
+            )
+        elif param_approach == ParameterApproach.NATIVE:
+            normalized_parameters = self._normalize_tparametercollection(parameters)
+            param_structure = self._determine_parameter_structure(normalized_parameters)
+            transformed_operation = transform_paramstyle(
+                operation, normalized_parameters, param_structure
+            )
+            prepared_operation, prepared_params = self._prepare_native_parameters(
+                transformed_operation, normalized_parameters, param_structure
+            )
+
+        self._check_not_closed()
+        self._close_and_clear_active_result_set()
+        self.thrift_backend.execute_command(
+            operation=prepared_operation,
+            session_handle=self.connection._session_handle,
+            max_rows=self.arraysize,
+            max_bytes=self.buffer_size_bytes,
+            lz4_compression=self.connection.lz4_compression,
+            cursor=self,
+            use_cloud_fetch=self.connection.use_cloud_fetch,
+            parameters=prepared_params,
+            async_op=True,
+        )
+
+        return self
+
+    def get_query_state(self) -> "TOperationState":
+        """
+        Get the state of the async executing query or basically poll the status of the query
+
+        :return:
+        """
+        self._check_not_closed()
+        return self.thrift_backend.get_query_state(self.active_op_handle)
+
+    def get_async_execution_result(self):
+        """
+
+        Checks for the status of the async executing query and fetches the result if the query is finished
+        Otherwise it will keep polling the status of the query till there is a Not pending state
+        :return:
+        """
+        self._check_not_closed()
+
+        def is_executing(operation_state) -> "bool":
+            return not operation_state or operation_state in [
+                ttypes.TOperationState.RUNNING_STATE,
+                ttypes.TOperationState.PENDING_STATE,
+            ]
+
+        while is_executing(self.get_query_state()):
+            # Poll after some default time
+            time.sleep(self.ASYNC_DEFAULT_POLLING_INTERVAL)
+
+        operation_state = self.get_query_state()
+        if operation_state == ttypes.TOperationState.FINISHED_STATE:
+            execute_response = self.thrift_backend.get_execution_result(
+                self.active_op_handle, self
+            )
+            self.active_result_set = ResultSet(
+                self.connection,
+                execute_response,
+                self.thrift_backend,
+                self.buffer_size_bytes,
+                self.arraysize,
+            )
+
+            if execute_response.is_staging_operation:
+                self._handle_staging_operation(
+                    staging_allowed_local_path=self.thrift_backend.staging_allowed_local_path
+                )
+
+            return self
+        else:
+            raise Error(
+                f"get_execution_result failed with Operation status {operation_state}"
+            )
+
     def executemany(self, operation, seq_of_parameters):
         """
         Execute the operation once for every set of passed in parameters.

src/databricks/sql/thrift_backend.py

@@ -7,6 +7,8 @@
 import threading
 from typing import List, Union
 
+from databricks.sql.thrift_api.TCLIService.ttypes import TOperationState
+
 try:
     import pyarrow
 except ImportError:
@@ -769,6 +771,63 @@ def _results_message_to_execute_response(self, resp, operation_state):
             arrow_schema_bytes=schema_bytes,
         )
 
+    def get_execution_result(self, op_handle, cursor):
+
+        assert op_handle is not None
+
+        req = ttypes.TFetchResultsReq(
+            operationHandle=ttypes.TOperationHandle(
+                op_handle.operationId,
+                op_handle.operationType,
+                False,
+                op_handle.modifiedRowCount,
+            ),
+            maxRows=cursor.arraysize,
+            maxBytes=cursor.buffer_size_bytes,
+            orientation=ttypes.TFetchOrientation.FETCH_NEXT,
+            includeResultSetMetadata=True,
+        )
+
+        resp = self.make_request(self._client.FetchResults, req)
+
+        t_result_set_metadata_resp = resp.resultSetMetadata
+
+        lz4_compressed = t_result_set_metadata_resp.lz4Compressed
+        is_staging_operation = t_result_set_metadata_resp.isStagingOperation
+        has_more_rows = resp.hasMoreRows
+        description = self._hive_schema_to_description(
+            t_result_set_metadata_resp.schema
+        )
+
+        schema_bytes = (
+            t_result_set_metadata_resp.arrowSchema
+            or self._hive_schema_to_arrow_schema(t_result_set_metadata_resp.schema)
+            .serialize()
+            .to_pybytes()
+        )
+
+        queue = ResultSetQueueFactory.build_queue(
+            row_set_type=resp.resultSetMetadata.resultFormat,
+            t_row_set=resp.results,
+            arrow_schema_bytes=schema_bytes,
+            max_download_threads=self.max_download_threads,
+            lz4_compressed=lz4_compressed,
+            description=description,
+            ssl_options=self._ssl_options,
+        )
+
+        return ExecuteResponse(
+            arrow_queue=queue,
+            status=resp.status,
+            has_been_closed_server_side=False,
+            has_more_rows=has_more_rows,
+            lz4_compressed=lz4_compressed,
+            is_staging_operation=is_staging_operation,
+            command_handle=op_handle,
+            description=description,
+            arrow_schema_bytes=schema_bytes,
+        )
+
     def _wait_until_command_done(self, op_handle, initial_operation_status_resp):
         if initial_operation_status_resp:
             self._check_command_not_in_error_or_closed_state(
@@ -787,6 +846,12 @@ def _wait_until_command_done(self, op_handle, initial_operation_status_resp):
             self._check_command_not_in_error_or_closed_state(op_handle, poll_resp)
         return operation_state
 
+    def get_query_state(self, op_handle) -> "TOperationState":
+        poll_resp = self._poll_for_status(op_handle)
+        operation_state = poll_resp.operationState
+        self._check_command_not_in_error_or_closed_state(op_handle, poll_resp)
+        return operation_state
+
     @staticmethod
     def _check_direct_results_for_error(t_spark_direct_results):
         if t_spark_direct_results:
@@ -817,6 +882,7 @@ def execute_command(
         cursor,
         use_cloud_fetch=True,
         parameters=[],
+        async_op=False,
     ):
         assert session_handle is not None
 
@@ -846,7 +912,11 @@ def execute_command(
             parameters=parameters,
         )
         resp = self.make_request(self._client.ExecuteStatement, req)
-        return self._handle_execute_response(resp, cursor)
+
+        if async_op:
+            self._handle_execute_response_async(resp, cursor)
+        else:
+            return self._handle_execute_response(resp, cursor)
 
     def get_catalogs(self, session_handle, max_rows, max_bytes, cursor):
         assert session_handle is not None
@@ -945,6 +1015,10 @@ def _handle_execute_response(self, resp, cursor):
 
         return self._results_message_to_execute_response(resp, final_operation_state)
 
+    def _handle_execute_response_async(self, resp, cursor):
+        cursor.active_op_handle = resp.operationHandle
+        self._check_direct_results_for_error(resp.directResults)
+
     def fetch_results(
         self,
         op_handle,

tests/e2e/test_driver.py

@@ -36,6 +36,7 @@
     compare_dbr_versions,
     is_thrift_v5_plus,
 )
+from databricks.sql.thrift_api.TCLIService import ttypes
 from tests.e2e.common.core_tests import CoreTestMixin, SmokeTestMixin
 from tests.e2e.common.large_queries_mixin import LargeQueriesMixin
 from tests.e2e.common.timestamp_tests import TimestampTestsMixin
@@ -78,6 +79,7 @@ class PySQLPytestTestCase:
     }
     arraysize = 1000
     buffer_size_bytes = 104857600
+    POLLING_INTERVAL = 2
 
     @pytest.fixture(autouse=True)
     def get_details(self, connection_details):
@@ -175,6 +177,27 @@ def test_cloud_fetch(self):
                 for i in range(len(cf_result)):
                     assert cf_result[i] == noop_result[i]
 
+    def test_execute_async(self):
+        def isExecuting(operation_state):
+            return not operation_state or operation_state in [
+                ttypes.TOperationState.RUNNING_STATE,
+                ttypes.TOperationState.PENDING_STATE,
+            ]
+
+        long_running_query = "SELECT COUNT(*) FROM RANGE(10000 * 16) x JOIN RANGE(10000) y ON FROM_UNIXTIME(x.id * y.id, 'yyyy-MM-dd') LIKE '%not%a%date%'"
+        with self.cursor() as cursor:
+            cursor.execute_async(long_running_query)
+
+            ## Polling after every POLLING_INTERVAL seconds
+            while isExecuting(cursor.get_query_state()):
+                time.sleep(self.POLLING_INTERVAL)
+                log.info("Polling the status in test_execute_async")
+
+            cursor.get_async_execution_result()
+            result = cursor.fetchall()
+
+            assert result[0].asDict() == {"count(1)": 0}
+
 
 # Exclude Retry tests because they require specific setups, and LargeQueries too slow for core
 # tests