feat(ingestion): Tableau stateful ingestion

metadata-ingestion/src/datahub/emitter/mce_builder.py

@@ -15,7 +15,9 @@
 from datahub.metadata.schema_classes import (
     AssertionKeyClass,
     AuditStampClass,
+    ChartKeyClass,
     ContainerKeyClass,
+    DashboardKeyClass,
     DatasetKeyClass,
     DatasetLineageTypeClass,
     DatasetSnapshotClass,
@@ -214,11 +216,27 @@ def make_dashboard_urn(platform: str, name: str) -> str:
     return f"urn:li:dashboard:({platform},{name})"
 
 
+def dashboard_urn_to_key(dashboard_urn: str) -> Optional[DashboardKeyClass]:
+    pattern = r"urn:li:dashboard:\((.*),(.*)\)"
+    results = re.search(pattern, dashboard_urn)
+    if results is not None:
+        return DashboardKeyClass(dashboardTool=results[1], dashboardId=results[2])
+    return None
+
+
 def make_chart_urn(platform: str, name: str) -> str:
     # FIXME: charts don't currently include data platform urn prefixes.
     return f"urn:li:chart:({platform},{name})"
 
 
+def chart_urn_to_key(chart_urn: str) -> Optional[ChartKeyClass]:
+    pattern = r"urn:li:chart:\((.*),(.*)\)"
+    results = re.search(pattern, chart_urn)
+    if results is not None:
+        return ChartKeyClass(dashboardTool=results[1], chartId=results[2])
+    return None
+
+
 def make_domain_urn(domain: str) -> str:
     if domain.startswith("urn:li:domain:"):
         return domain

metadata-ingestion/src/datahub/ingestion/source/state/tableau_state.py

@@ -0,0 +1,131 @@
+import logging
+from typing import Callable, Dict, Iterable, List
+
+import pydantic
+
+from datahub.emitter.mce_builder import (
+    chart_urn_to_key,
+    dashboard_urn_to_key,
+    make_chart_urn,
+    make_dashboard_urn,
+)
+from datahub.ingestion.source.state.stale_entity_removal_handler import (
+    StaleEntityCheckpointStateBase,
+)
+from datahub.utilities.checkpoint_state_util import CheckpointStateUtil
+
+logger = logging.getLogger(__name__)
+
+
+class TableauCheckpointState(StaleEntityCheckpointStateBase["TableauCheckpointState"]):
+    """
+    Class for representing the checkpoint state for Tableau sources.
+    Stores all datasets, charts and dashboards being ingested and is
+    used to remove any stale entities.
+    """
+
+    encoded_dataset_urns: List[str] = pydantic.Field(default_factory=list)
+    encoded_chart_urns: List[str] = pydantic.Field(default_factory=list)
+    encoded_dashboard_urns: List[str] = pydantic.Field(default_factory=list)
+
+    @classmethod
+    def get_supported_types(cls) -> List[str]:
+        return ["dataset", "chart", "dashboard"]
+
+    @staticmethod
+    def _get_dataset_lightweight_repr(dataset_urn: str) -> str:
+        """Reduces the amount of text in the URNs for smaller state footprint."""
+        return CheckpointStateUtil.get_dataset_lightweight_repr(dataset_urn)
+
+    @staticmethod
+    def _get_chart_lightweight_repr(chart_urn: str) -> str:
+        """Reduces the amount of text in the URNs for smaller state footprint."""
+        SEP = CheckpointStateUtil.get_separator()
+        key = chart_urn_to_key(chart_urn)
+        assert key is not None
+        return f"{key.dashboardTool}{SEP}{key.chartId}"
+
+    @staticmethod
+    def _get_dashboard_lightweight_repr(dashboard_urn: str) -> str:
+        """Reduces the amount of text in the URNs for smaller state footprint."""
+        SEP = CheckpointStateUtil.get_separator()
+        key = dashboard_urn_to_key(dashboard_urn)
+        assert key is not None
+        return f"{key.dashboardTool}{SEP}{key.dashboardId}"
+
+    def _add_dataset_urn(self, dataset_urn: str) -> None:
+        self.encoded_dataset_urns.append(
+            self._get_dataset_lightweight_repr(dataset_urn)
+        )
+
+    def _add_chart_urn(self, chart_urn: str) -> None:
+        self.encoded_chart_urns.append(self._get_chart_lightweight_repr(chart_urn))
+
+    def _add_dashboard_urn(self, dashboard_urn: str) -> None:
+        self.encoded_dashboard_urns.append(
+            self._get_dashboard_lightweight_repr(dashboard_urn)
+        )
+
+    def _get_dataset_urns_not_in(
+        self, checkpoint: "TableauCheckpointState"
+    ) -> Iterable[str]:
+        yield from CheckpointStateUtil.get_dataset_urns_not_in(
+            self.encoded_dataset_urns, checkpoint.encoded_dataset_urns
+        )
+
+    def _get_chart_urns_not_in(
+        self, checkpoint: "TableauCheckpointState"
+    ) -> Iterable[str]:
+        difference = CheckpointStateUtil.get_encoded_urns_not_in(
+            self.encoded_chart_urns, checkpoint.encoded_chart_urns
+        )
+        for encoded_urn in difference:
+            platform, name = encoded_urn.split(CheckpointStateUtil.get_separator())
+            yield make_chart_urn(platform, name)
+
+    def _get_dashboard_urns_not_in(
+        self, checkpoint: "TableauCheckpointState"
+    ) -> Iterable[str]:
+        difference = CheckpointStateUtil.get_encoded_urns_not_in(
+            self.encoded_dashboard_urns, checkpoint.encoded_dashboard_urns
+        )
+        for encoded_urn in difference:
+            platform, name = encoded_urn.split(CheckpointStateUtil.get_separator())
+            yield make_dashboard_urn(platform, name)
+
+    def add_checkpoint_urn(self, type: str, urn: str) -> None:
+        supported_entities_add_handlers: Dict[str, Callable[[str], None]] = {
+            "dataset": self._add_dataset_urn,
+            "chart": self._add_chart_urn,
+            "dashboard": self._add_dashboard_urn,
+        }
+
+        if type not in supported_entities_add_handlers:
+            logger.error(f"Can not save Unknown entity {type} to checkpoint.")
+
+        supported_entities_add_handlers[type](urn)
+
+    def get_urns_not_in(
+        self, type: str, other_checkpoint_state: "TableauCheckpointState"
+    ) -> Iterable[str]:
+        assert type in self.get_supported_types()
+        if type == "dataset":
+            yield from self._get_dataset_urns_not_in(other_checkpoint_state)
+        elif type == "chart":
+            yield from self._get_chart_urns_not_in(other_checkpoint_state)
+        elif type == "dashboard":
+            yield from self._get_dashboard_urns_not_in(other_checkpoint_state)
+
+    def get_percent_entities_changed(
+        self, old_checkpoint_state: "TableauCheckpointState"
+    ) -> float:
+        return StaleEntityCheckpointStateBase.compute_percent_entities_changed(
+            [
+                (self.encoded_dataset_urns, old_checkpoint_state.encoded_dataset_urns),
+                (self.encoded_chart_urns, old_checkpoint_state.encoded_chart_urns),
+                (
+                    self.encoded_dashboard_urns,
+                    old_checkpoint_state.encoded_dashboard_urns,
+                ),
+            ]
+        )

metadata-ingestion/src/datahub/ingestion/source/tableau.py

@@ -34,8 +34,18 @@
     platform_name,
     support_status,
 )
-from datahub.ingestion.api.source import Source, SourceReport
+from datahub.ingestion.api.source import Source
 from datahub.ingestion.api.workunit import MetadataWorkUnit
+from datahub.ingestion.source.state.stale_entity_removal_handler import (
+    StaleEntityRemovalHandler,
+    StaleEntityRemovalSourceReport,
+    StatefulStaleMetadataRemovalConfig,
+)
+from datahub.ingestion.source.state.stateful_ingestion_base import (
+    StatefulIngestionConfigBase,
+    StatefulIngestionSourceBase,
+)
+from datahub.ingestion.source.state.tableau_state import TableauCheckpointState
 from datahub.ingestion.source.tableau_common import (
     FIELD_TYPE_MAPPING,
     MetadataQueryException,
@@ -96,6 +106,16 @@
 REPLACE_SLASH_CHAR = "|"
 
 
+class TableauStatefulIngestionConfig(StatefulStaleMetadataRemovalConfig):
+    """
+    Specialization of StatefulStaleMetadataRemovalConfig to adding custom config.
+    This will be used to override the stateful_ingestion config param of StatefulIngestionConfigBase
+    in the TableauConfig.
+    """
+
+    _entity_types: List[str] = Field(default=["dataset", "chart", "dashboard"])
+
+
 class TableauConnectionConfig(ConfigModel):
     connect_uri: str = Field(description="Tableau host URL.")
     username: Optional[str] = Field(
@@ -154,7 +174,11 @@ def make_tableau_client(self) -> Server:
             raise ValueError(f"Unable to login: {str(e)}") from e
 
 
-class TableauConfig(DatasetLineageProviderConfigBase, TableauConnectionConfig):
+class TableauConfig(
+    DatasetLineageProviderConfigBase,
+    StatefulIngestionConfigBase,
+    TableauConnectionConfig,
+):
     projects: Optional[List[str]] = Field(
         default=["default"], description="List of projects"
     )
@@ -194,6 +218,10 @@ class TableauConfig(DatasetLineageProviderConfigBase, TableauConnectionConfig):
         description="[experimental] Extract usage statistics for dashboards and charts.",
     )
 
+    stateful_ingestion: Optional[TableauStatefulIngestionConfig] = Field(
+        default=None, description=""
+    )
+
 
 class WorkbookKey(PlatformKey):
     workbook_id: str
@@ -218,13 +246,16 @@ class UsageStat:
     SourceCapability.USAGE_STATS,
     "Dashboard/Chart view counts, enabled using extract_usage_stats config",
 )
-@capability(SourceCapability.DELETION_DETECTION, "", supported=False)
+@capability(
+    SourceCapability.DELETION_DETECTION,
+    "Enabled by default when stateful ingestion is turned on.",
+)
 @capability(SourceCapability.OWNERSHIP, "Requires recipe configuration")
 @capability(SourceCapability.TAGS, "Requires recipe configuration")
 @capability(SourceCapability.LINEAGE_COARSE, "Enabled by default")
-class TableauSource(Source):
+class TableauSource(StatefulIngestionSourceBase):
     config: TableauConfig
-    report: SourceReport
+    report: StaleEntityRemovalSourceReport
     platform = "tableau"
     server: Optional[Server]
     upstream_tables: Dict[str, Tuple[Any, Optional[str], bool]] = {}
@@ -238,10 +269,10 @@ def __init__(
         config: TableauConfig,
         ctx: PipelineContext,
     ):
-        super().__init__(ctx)
+        super().__init__(config, ctx)
 
         self.config = config
-        self.report = SourceReport()
+        self.report = StaleEntityRemovalSourceReport()
         self.server = None
 
         # This list keeps track of embedded datasources in workbooks so that we retrieve those
@@ -254,10 +285,20 @@ def __init__(
         # when emitting custom SQL data sources.
         self.custom_sql_ids_being_used: List[str] = []
 
+        # Create and register the stateful ingestion use-case handlers.
+        self.stale_entity_removal_handler = StaleEntityRemovalHandler(
+            source=self,
+            config=self.config,
+            state_type_class=TableauCheckpointState,
+            pipeline_name=self.ctx.pipeline_name,
+            run_id=self.ctx.run_id,
+        )
+
         self._authenticate()
 
     def close(self) -> None:
         if self.server is not None:
+            self.prepare_for_commit()
             self.server.auth.sign_out()
 
     def _populate_usage_stat_registry(self):
@@ -712,6 +753,24 @@ def get_metadata_change_event(
         mce = MetadataChangeEvent(proposedSnapshot=snap_shot)
         work_unit = MetadataWorkUnit(id=snap_shot.urn, mce=mce)
         self.report.report_workunit(work_unit)
+
+        # Add snapshot to the checkpoint state.
+        entity = None
+        if type(snap_shot).__name__ == "DatasetSnapshotClass":
+            entity = "dataset"
+        elif type(snap_shot).__name__ == "DashboardSnapshotClass":
+            entity = "dashboard"
+        elif type(snap_shot).__name__ == "ChartSnapshotClass":
+            entity = "chart"
+        else:
+            logger.warning(
+                f"Skipping snapshot {snap_shot.urn} from being added to the state"
+                f" since it is not of the expected type {type(snap_shot).__name__}."
+            )
+
+        if entity is not None:
+            self.stale_entity_removal_handler.add_entity_to_state(entity, snap_shot.urn)
+
         return work_unit
 
     def get_metadata_change_proposal(
@@ -1320,6 +1379,11 @@ def get_workunits(self) -> Iterable[MetadataWorkUnit]:
                 key="tableau-metadata",
                 reason=f"Unable to retrieve metadata from tableau. Information: {str(md_exception)}",
             )
+        # Clean up stale entities.
+        yield from self.stale_entity_removal_handler.gen_removed_entity_workunits()
 
-    def get_report(self) -> SourceReport:
+    def get_report(self) -> StaleEntityRemovalSourceReport:
         return self.report
+
+    def get_platform_instance_id(self) -> str:
+        return self.platform

metadata-ingestion/tests/integration/tableau/setup/workbooksConnection_all.json

@@ -4214,7 +4214,7 @@
                 "hasNextPage": false,
                 "endCursor": null
             },
-            "totalCount": 3
+            "totalCount": 4
         }
     }
 }

metadata-ingestion/tests/integration/tableau/setup/workbooksConnection_all_stateful.json

@@ -0,0 +1,12 @@
+{
+    "data": {
+        "workbooksConnection": {
+            "nodes": [],
+            "pageInfo": {
+                "hasNextPage": false,
+                "endCursor": null
+            },
+            "totalCount": 0
+        }
+    }
+}