filesystem state sync

dlt/common/destination/reference.py

@@ -273,7 +273,9 @@ def drop_storage(self) -> None:
         pass
 
     def update_stored_schema(
-        self, only_tables: Iterable[str] = None, expected_update: TSchemaTables = None
+        self,
+        only_tables: Iterable[str] = None,
+        expected_update: TSchemaTables = None,
     ) -> Optional[TSchemaTables]:
         """Updates storage to the current schema.
 
@@ -434,6 +436,7 @@ def get_stored_schema(self) -> Optional[StorageSchemaInfo]:
 
     @abstractmethod
     def get_stored_schema_by_hash(self, version_hash: str) -> StorageSchemaInfo:
+        """retrieves the stored schema by hash"""
         pass
 
     @abstractmethod

dlt/common/storages/fsspecs/google_drive.py

@@ -237,7 +237,7 @@ def export(self, path: str, mime_type: str) -> Any:
             fileId=file_id, mimeType=mime_type, supportsAllDrives=True
         ).execute()
 
-    def ls(self, path: str, detail: Optional[bool] = False) -> Any:
+    def ls(self, path: str, detail: Optional[bool] = False, refresh: Optional[bool] = False) -> Any:
         """List files in a directory.
 
         Args:

dlt/common/storages/load_package.py

@@ -54,9 +54,23 @@
 """Loader file formats with internal job types"""
 
 
+class TPipelineStateDoc(TypedDict, total=False):
+    """Corresponds to the StateInfo Tuple"""
+
+    version: int
+    engine_version: int
+    pipeline_name: str
+    state: str
+    version_hash: str
+    created_at: datetime.datetime
+    dlt_load_id: NotRequired[str]
+
+
 class TLoadPackageState(TVersionedState, total=False):
     created_at: DateTime
     """Timestamp when the load package was created"""
+    pipeline_state: NotRequired[TPipelineStateDoc]
+    """Pipeline state, added at the end of the extraction phase"""
 
     """A section of state that does not participate in change merging and version control"""
     destination_state: NotRequired[Dict[str, Any]]

dlt/destinations/impl/destination/destination.py

@@ -47,7 +47,9 @@ def drop_storage(self) -> None:
         pass
 
     def update_stored_schema(
-        self, only_tables: Iterable[str] = None, expected_update: TSchemaTables = None
+        self,
+        only_tables: Iterable[str] = None,
+        expected_update: TSchemaTables = None,
     ) -> Optional[TSchemaTables]:
         return super().update_stored_schema(only_tables, expected_update)
 

dlt/destinations/impl/dummy/dummy.py

@@ -126,7 +126,9 @@ def drop_storage(self) -> None:
         pass
 
     def update_stored_schema(
-        self, only_tables: Iterable[str] = None, expected_update: TSchemaTables = None
+        self,
+        only_tables: Iterable[str] = None,
+        expected_update: TSchemaTables = None,
     ) -> Optional[TSchemaTables]:
         applied_update = super().update_stored_schema(only_tables, expected_update)
         if self.config.fail_schema_update:

dlt/destinations/impl/filesystem/filesystem.py

@@ -1,12 +1,17 @@
 import posixpath
 import os
+import base64
 from types import TracebackType
-from typing import ClassVar, List, Type, Iterable, Set, Iterator
+from typing import ClassVar, List, Type, Iterable, Set, Iterator, Optional, Tuple, cast
 from fsspec import AbstractFileSystem
 from contextlib import contextmanager
+from dlt.common import json, pendulum
+from dlt.common.typing import DictStrAny
+
+import re
 
 import dlt
-from dlt.common import logger
+from dlt.common import logger, time
 from dlt.common.schema import Schema, TSchemaTables, TTableSchema
 from dlt.common.storages import FileStorage, fsspec_from_config
 from dlt.common.destination import DestinationCapabilitiesContext
@@ -17,15 +22,23 @@
     JobClientBase,
     FollowupJob,
     WithStagingDataset,
+    WithStateSync,
+    StorageSchemaInfo,
+    StateInfo,
+    DoNothingJob,
 )
-
+from dlt.common.destination.exceptions import DestinationUndefinedEntity
 from dlt.destinations.job_impl import EmptyLoadJob
 from dlt.destinations.impl.filesystem import capabilities
 from dlt.destinations.impl.filesystem.configuration import FilesystemDestinationClientConfiguration
 from dlt.destinations.job_impl import NewReferenceJob
 from dlt.destinations import path_utils
 
 
+INIT_FILE_NAME = "init"
+FILENAME_SEPARATOR = "__"
+
+
 class LoadFilesystemJob(LoadJob):
     def __init__(
         self,
@@ -86,7 +99,7 @@ def create_followup_jobs(self, final_state: TLoadJobState) -> List[NewLoadJob]:
         return jobs
 
 
-class FilesystemClient(JobClientBase, WithStagingDataset):
+class FilesystemClient(JobClientBase, WithStagingDataset, WithStateSync):
     """filesystem client storing jobs in memory"""
 
     capabilities: ClassVar[DestinationCapabilitiesContext] = capabilities()
@@ -166,31 +179,56 @@ def initialize_storage(self, truncate_tables: Iterable[str] = None) -> None:
                         " should be created previously!"
                     )
 
+        # we mark the storage folder as initialized
+        self.fs_client.makedirs(self.dataset_path, exist_ok=True)
+        self.fs_client.touch(posixpath.join(self.dataset_path, INIT_FILE_NAME))
+
     def update_stored_schema(
-        self, only_tables: Iterable[str] = None, expected_update: TSchemaTables = None
+        self,
+        only_tables: Iterable[str] = None,
+        expected_update: TSchemaTables = None,
     ) -> TSchemaTables:
         # create destination dirs for all tables
-        dirs_to_create = self._get_table_dirs(only_tables or self.schema.tables.keys())
-        for directory in dirs_to_create:
+        table_names = only_tables or self.schema.tables.keys()
+        dirs_to_create = self._get_table_dirs(table_names)
+        for tables_name, directory in zip(table_names, dirs_to_create):
             self.fs_client.makedirs(directory, exist_ok=True)
+            # we need to mark the folders of the data tables as initialized
+            if tables_name in self.schema.dlt_table_names():
+                self.fs_client.touch(posixpath.join(directory, INIT_FILE_NAME))
+
+        # don't store schema when used as staging
+        if not self.config.as_staging:
+            self._store_current_schema()
+
         return expected_update
 
-    def _get_table_dirs(self, table_names: Iterable[str]) -> Set[str]:
-        """Gets unique directories where table data is stored."""
-        table_dirs: Set[str] = set()
+    def _get_table_dirs(self, table_names: Iterable[str]) -> List[str]:
+        """Gets directories where table data is stored."""
+        table_dirs: List[str] = []
         for table_name in table_names:
-            table_prefix = self.table_prefix_layout.format(
-                schema_name=self.schema.name, table_name=table_name
-            )
+            # dlt tables do not respect layout (for now)
+            if table_name in self.schema.dlt_table_names():
+                table_prefix = posixpath.join(table_name, "")
+            else:
+                table_prefix = self.table_prefix_layout.format(
+                    schema_name=self.schema.name, table_name=table_name
+                )
             destination_dir = posixpath.join(self.dataset_path, table_prefix)
             # extract the path component
-            table_dirs.add(os.path.dirname(destination_dir))
+            table_dirs.append(posixpath.dirname(destination_dir))
         return table_dirs
 
     def is_storage_initialized(self) -> bool:
-        return self.fs_client.isdir(self.dataset_path)  # type: ignore[no-any-return]
+        return self.fs_client.exists(posixpath.join(self.dataset_path, INIT_FILE_NAME))  # type: ignore[no-any-return]
 
     def start_file_load(self, table: TTableSchema, file_path: str, load_id: str) -> LoadJob:
+        # skip the state table, we create a jsonl file in the complete_load step
+        # this does not apply to scenarios where we are using filesystem as staging
+        # where we want to load the state the regular way
+        if table["name"] == self.schema.state_table_name and not self.config.as_staging:
+            return DoNothingJob(file_path)
+
         cls = FollowupFilesystemJob if self.config.as_staging else LoadFilesystemJob
         return cls(
             file_path,
@@ -203,12 +241,6 @@ def start_file_load(self, table: TTableSchema, file_path: str, load_id: str) ->
     def restore_file_load(self, file_path: str) -> LoadJob:
         return EmptyLoadJob.from_file_path(file_path, "completed")
 
-    def complete_load(self, load_id: str) -> None:
-        schema_name = self.schema.name
-        table_name = self.schema.loads_table_name
-        file_name = f"{schema_name}.{table_name}.{load_id}"
-        self.fs_client.touch(posixpath.join(self.dataset_path, file_name))
-
     def __enter__(self) -> "FilesystemClient":
         return self
 
@@ -219,3 +251,170 @@ def __exit__(
 
     def should_load_data_to_staging_dataset(self, table: TTableSchema) -> bool:
         return False
+
+    #
+    # state stuff
+    #
+
+    def _write_to_json_file(self, filepath: str, data: DictStrAny) -> None:
+        dirname = posixpath.dirname(filepath)
+        if not self.fs_client.isdir(dirname):
+            return
+        self.fs_client.write_text(filepath, json.dumps(data), "utf-8")
+
+    def _to_path_safe_string(self, s: str) -> str:
+        """for base64 strings"""
+        return base64.b64decode(s).hex() if s else None
+
+    def _list_dlt_dir(self, dirname: str) -> Iterator[Tuple[str, List[str]]]:
+        if not self.fs_client.exists(posixpath.join(dirname, INIT_FILE_NAME)):
+            raise DestinationUndefinedEntity({"dir": dirname})
+        for filepath in self.fs_client.ls(dirname, detail=False, refresh=True):
+            filename = os.path.splitext(os.path.basename(filepath))[0]
+            fileparts = filename.split(FILENAME_SEPARATOR)
+            if len(fileparts) != 3:
+                continue
+            yield filepath, fileparts
+
+    def _store_load(self, load_id: str) -> None:
+        # write entry to load "table"
+        # TODO: this is also duplicate across all destinations. DRY this.
+        load_data = {
+            "load_id": load_id,
+            "schema_name": self.schema.name,
+            "status": 0,
+            "inserted_at": pendulum.now().isoformat(),
+            "schema_version_hash": self.schema.version_hash,
+        }
+        filepath = posixpath.join(
+            self.dataset_path,
+            self.schema.loads_table_name,
+            f"{self.schema.name}{FILENAME_SEPARATOR}{load_id}.jsonl",
+        )
+        self._write_to_json_file(filepath, load_data)
+
+    def complete_load(self, load_id: str) -> None:
+        # store current state
+        self._store_current_state(load_id)
+        self._store_load(load_id)
+
+    #
+    # state read/write
+    #
+
+    def _get_state_file_name(self, pipeline_name: str, version_hash: str, load_id: str) -> str:
+        """gets full path for schema file for a given hash"""
+        return posixpath.join(
+            self.dataset_path,
+            self.schema.state_table_name,
+            f"{pipeline_name}{FILENAME_SEPARATOR}{load_id}{FILENAME_SEPARATOR}{self._to_path_safe_string(version_hash)}.jsonl",
+        )
+
+    def _store_current_state(self, load_id: str) -> None:
+        # don't save the state this way when used as staging
+        if self.config.as_staging:
+            return
+        # get state doc from current pipeline
+        from dlt.pipeline.current import load_package
+
+        pipeline_state_doc = load_package()["state"].get("pipeline_state")
+
+        if not pipeline_state_doc:
+            return
+
+        # get paths
+        pipeline_name = pipeline_state_doc["pipeline_name"]
+        hash_path = self._get_state_file_name(
+            pipeline_name, self.schema.stored_version_hash, load_id
+        )
+
+        # write
+        self._write_to_json_file(hash_path, cast(DictStrAny, pipeline_state_doc))
+
+    def get_stored_state(self, pipeline_name: str) -> Optional[StateInfo]:
+        # get base dir
+        dirname = posixpath.dirname(self._get_state_file_name(pipeline_name, "", ""))
+
+        # search newest state
+        selected_path = None
+        newest_load_id = "0"
+        for filepath, fileparts in self._list_dlt_dir(dirname):
+            if fileparts[0] == pipeline_name and fileparts[1] > newest_load_id:
+                newest_load_id = fileparts[1]
+                selected_path = filepath
+
+        # Load compressed state from destination
+        if selected_path:
+            state_json = json.loads(self.fs_client.read_text(selected_path))
+            state_json.pop("version_hash")
+            return StateInfo(**state_json)
+
+        return None
+
+    #
+    # Schema read/write
+    #
+
+    def _get_schema_file_name(self, version_hash: str, load_id: str) -> str:
+        """gets full path for schema file for a given hash"""
+        return posixpath.join(
+            self.dataset_path,
+            self.schema.version_table_name,
+            f"{self.schema.name}{FILENAME_SEPARATOR}{load_id}{FILENAME_SEPARATOR}{self._to_path_safe_string(version_hash)}.jsonl",
+        )
+
+    def _get_stored_schema_by_hash_or_newest(
+        self, version_hash: str = None
+    ) -> Optional[StorageSchemaInfo]:
+        """Get the schema by supplied hash, falls back to getting the newest version matching the existing schema name"""
+        version_hash = self._to_path_safe_string(version_hash)
+        dirname = posixpath.dirname(self._get_schema_file_name("", ""))
+        # find newest schema for pipeline or by version hash
+        selected_path = None
+        newest_load_id = "0"
+        for filepath, fileparts in self._list_dlt_dir(dirname):
+            if (
+                not version_hash
+                and fileparts[0] == self.schema.name
+                and fileparts[1] > newest_load_id
+            ):
+                newest_load_id = fileparts[1]
+                selected_path = filepath
+            elif fileparts[2] == version_hash:
+                selected_path = filepath
+                break
+
+        if selected_path:
+            return StorageSchemaInfo(**json.loads(self.fs_client.read_text(selected_path)))
+
+        return None
+
+    def _store_current_schema(self) -> None:
+        # check if schema with hash exists
+        current_hash = self.schema.stored_version_hash
+        if self._get_stored_schema_by_hash_or_newest(current_hash):
+            return
+
+        # get paths
+        schema_id = str(time.precise_time())
+        filepath = self._get_schema_file_name(self.schema.stored_version_hash, schema_id)
+
+        # TODO: duplicate of weaviate implementation, should be abstracted out
+        version_info = {
+            "version_hash": self.schema.stored_version_hash,
+            "schema_name": self.schema.name,
+            "version": self.schema.version,
+            "engine_version": self.schema.ENGINE_VERSION,
+            "inserted_at": pendulum.now(),
+            "schema": json.dumps(self.schema.to_dict()),
+        }
+
+        # we always keep tabs on what the current schema is
+        self._write_to_json_file(filepath, version_info)
+
+    def get_stored_schema(self) -> Optional[StorageSchemaInfo]:
+        """Retrieves newest schema from destination storage"""
+        return self._get_stored_schema_by_hash_or_newest()
+
+    def get_stored_schema_by_hash(self, version_hash: str) -> Optional[StorageSchemaInfo]:
+        return self._get_stored_schema_by_hash_or_newest(version_hash)

dlt/destinations/impl/qdrant/qdrant_client.py

@@ -283,7 +283,9 @@ def _delete_sentinel_collection(self) -> None:
         self.db_client.delete_collection(self.sentinel_collection)
 
     def update_stored_schema(
-        self, only_tables: Iterable[str] = None, expected_update: TSchemaTables = None
+        self,
+        only_tables: Iterable[str] = None,
+        expected_update: TSchemaTables = None,
     ) -> Optional[TSchemaTables]:
         super().update_stored_schema(only_tables, expected_update)
         applied_update: TSchemaTables = {}