fix(tableau): fix tableau db error, add more logs

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

@@ -380,18 +380,27 @@ def _create_upstream_table_lineage(
             return upstream_tables
 
         for table in datasource.get("upstreamTables", []):
-            # skip upstream tables when there is no column info when retrieving embedded datasource
-            # and when table name is None
-            # Schema details for these will be taken care in self.emit_custom_sql_ds()
+            # skip upstream tables when there is no column info when retrieving datasource
+            # Lineage and Schema details for these will be taken care in self.emit_custom_sql_datasources()
             if not is_custom_sql and not table.get("columns"):
+                logger.debug(
+                    f"Skipping upstream table with id {table['id']}, no columns"
+                )
                 continue
             elif table["name"] is None:
+                logger.warning(
+                    f"Skipping upstream table {table['id']} from lineage since its name is none"
+                )
                 continue
 
             schema = table.get("schema", "")
             table_name = table.get("name", "")
             full_name = table.get("fullName", "")
-            upstream_db = table.get("database", {}).get("name", "")
+            upstream_db = (
+                table.get("database", {}).get("name", "")
+                if table.get("database") is not None
+                else ""
+            )
             logger.debug(
                 "Processing Table with Connection Type: {0} and id {1}".format(
                     table.get("connectionType", ""), table.get("id", "")
@@ -406,6 +415,9 @@ def _create_upstream_table_lineage(
                 and table_name == full_name
                 and schema in table_name
             ):
+                logger.debug(
+                    f"Omitting schema for upstream table {table['id']}, schema included in table name"
+                )
                 schema = ""
             table_urn = make_table_urn(
                 self.config.env,
@@ -555,6 +567,9 @@ def get_schema_metadata_for_custom_sql(
             # Datasource fields
 
             if field.get("name") is None:
+                logger.warning(
+                    f"Skipping field {field['id']} from schema since its name is none"
+                )
                 continue
             nativeDataType = field.get("remoteType", "UNKNOWN")
             TypeClass = FIELD_TYPE_MAPPING.get(nativeDataType, NullTypeClass)
@@ -635,6 +650,9 @@ def _get_schema_metadata_for_datasource(
             # check datasource - custom sql relations from a field being referenced
             self._track_custom_sql_ids(field)
             if field.get("name") is None:
+                logger.warning(
+                    f"Skipping field {field['id']} from schema since its name is none"
+                )
                 continue
 
             nativeDataType = field.get("dataType", "UNKNOWN")
@@ -843,7 +861,7 @@ def emit_published_datasources(self) -> Iterable[MetadataWorkUnit]:
     def emit_upstream_tables(self) -> Iterable[MetadataWorkUnit]:
         for (table_urn, (columns, path, is_embedded)) in self.upstream_tables.items():
             if not is_embedded and not self.config.ingest_tables_external:
-                logger.error(
+                logger.debug(
                     f"Skipping external table {table_urn} as ingest_tables_external is set to False"
                 )
                 continue
@@ -865,6 +883,9 @@ def emit_upstream_tables(self) -> Iterable[MetadataWorkUnit]:
                 fields = []
                 for field in columns:
                     if field.get("name") is None:
+                        logger.warning(
+                            f"Skipping field {field['id']} from schema since its name is none"
+                        )
                         continue
                     nativeDataType = field.get("remoteType", "UNKNOWN")
                     TypeClass = FIELD_TYPE_MAPPING.get(nativeDataType, NullTypeClass)
@@ -907,7 +928,7 @@ def emit_sheets_as_charts(self, workbook: Dict) -> Iterable[MetadataWorkUnit]:
                 aspects=[],
             )
 
-            creator = workbook.get("owner", {}).get("username", "")
+            creator: Optional[str] = workbook["owner"].get("username")
             created_at = sheet.get("createdAt", datetime.now())
             updated_at = sheet.get("updatedAt", datetime.now())
             last_modified = self.get_last_modified(creator, created_at, updated_at)
@@ -940,8 +961,6 @@ def emit_sheets_as_charts(self, workbook: Dict) -> Iterable[MetadataWorkUnit]:
             data_sources = self.get_sheetwise_upstream_datasources(sheet)
 
             for ds_id in data_sources:
-                if ds_id is None or not ds_id:
-                    continue
                 ds_urn = builder.make_dataset_urn(self.platform, ds_id, self.config.env)
                 datasource_urn.append(ds_urn)
                 if ds_id not in self.datasource_ids_being_used:
@@ -1136,7 +1155,7 @@ def _extract_schema_from_fullName(self, fullName: str) -> str:
 
     @lru_cache(maxsize=None)
     def get_last_modified(
-        self, creator: str, created_at: bytes, updated_at: bytes
+        self, creator: Optional[str], created_at: bytes, updated_at: bytes
     ) -> ChangeAuditStamps:
         last_modified = ChangeAuditStamps()
         if creator: