Add support for bulk document operations

elasticsearch_dsl/_async/document.py

@@ -16,9 +16,20 @@
 #  under the License.
 
 import collections.abc
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union, cast
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    AsyncIterable,
+    Dict,
+    List,
+    Optional,
+    Tuple,
+    Union,
+    cast,
+)
 
 from elasticsearch.exceptions import NotFoundError, RequestError
+from elasticsearch.helpers import async_bulk
 from typing_extensions import Self, dataclass_transform
 
 from .._async.index import AsyncIndex
@@ -438,3 +449,74 @@ async def save(
                 setattr(self.meta, k, meta["_" + k])
 
         return meta if return_doc_meta else meta["result"]
+
+    @classmethod
+    async def bulk(
+        cls,
+        actions: AsyncIterable[Union[Self, Dict[str, Any]]],
+        using: Optional[AsyncUsingType] = None,
+        index: Optional[str] = None,
+        validate: bool = True,
+        skip_empty: bool = True,
+        **kwargs: Any,
+    ) -> Tuple[int, Union[int, List[Any]]]:
+        """
+        Allows to perform multiple indexing operations in a single request.
+
+        :arg actions: a generator that returns document instances to be indexed,
+            bulk operation dictionaries.
+        :arg using: connection alias to use, defaults to ``'default'``
+        :arg index: elasticsearch index to use, if the ``Document`` is
+            associated with an index this can be omitted.
+        :arg validate: set to ``False`` to skip validating the documents
+        :arg skip_empty: if set to ``False`` will cause empty values (``None``,
+            ``[]``, ``{}``) to be left on the document. Those values will be
+            stripped out otherwise as they make no difference in elasticsearch.
+
+        Any additional keyword arguments will be passed to
+        ``Elasticsearch.bulk`` unchanged.
+
+        :return: bulk operation results
+        """
+        es = cls._get_connection(using)
+
+        i = cls._default_index(index)
+        assert i is not None
+
+        class Generate:
+            def __init__(
+                self,
+                doc_iterator: AsyncIterable[Union[AsyncDocument, Dict[str, Any]]],
+            ):
+                self.doc_iterator = doc_iterator.__aiter__()
+
+            def __aiter__(self) -> Self:
+                return self
+
+            async def __anext__(self) -> Dict[str, Any]:
+                doc = await self.doc_iterator.__anext__()
+
+                if isinstance(doc, dict):
+                    action = doc
+                    doc: Optional[AsyncDocument] = None
+                    if "_source" in action and isinstance(
+                        action["_source"], AsyncDocument
+                    ):
+                        doc = action["_source"]
+                        if validate:  # pragma: no cover
+                            doc.full_clean()
+                        action["_source"] = doc.to_dict(
+                            include_meta=False, skip_empty=skip_empty
+                        )
+                else:
+                    if validate:  # pragma: no cover
+                        doc.full_clean()
+                    action = doc.to_dict(include_meta=True, skip_empty=skip_empty)
+                if "_index" not in action:
+                    action["_index"] = i
+                # if doc is not None and doc.meta.id is not None and "_id" not in action:
+                #    action["_id"] = doc.meta.id
+                print(action)
+                return action
+
+        return await async_bulk(es, Generate(actions), **kwargs)

elasticsearch_dsl/_sync/document.py

@@ -16,9 +16,20 @@
 #  under the License.
 
 import collections.abc
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union, cast
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    Iterable,
+    List,
+    Optional,
+    Tuple,
+    Union,
+    cast,
+)
 
 from elasticsearch.exceptions import NotFoundError, RequestError
+from elasticsearch.helpers import bulk
 from typing_extensions import Self, dataclass_transform
 
 from .._sync.index import Index
@@ -432,3 +443,72 @@ def save(
                 setattr(self.meta, k, meta["_" + k])
 
         return meta if return_doc_meta else meta["result"]
+
+    @classmethod
+    def bulk(
+        cls,
+        actions: Iterable[Union[Self, Dict[str, Any]]],
+        using: Optional[UsingType] = None,
+        index: Optional[str] = None,
+        validate: bool = True,
+        skip_empty: bool = True,
+        **kwargs: Any,
+    ) -> Tuple[int, Union[int, List[Any]]]:
+        """
+        Allows to perform multiple indexing operations in a single request.
+
+        :arg actions: a generator that returns document instances to be indexed,
+            bulk operation dictionaries.
+        :arg using: connection alias to use, defaults to ``'default'``
+        :arg index: elasticsearch index to use, if the ``Document`` is
+            associated with an index this can be omitted.
+        :arg validate: set to ``False`` to skip validating the documents
+        :arg skip_empty: if set to ``False`` will cause empty values (``None``,
+            ``[]``, ``{}``) to be left on the document. Those values will be
+            stripped out otherwise as they make no difference in elasticsearch.
+
+        Any additional keyword arguments will be passed to
+        ``Elasticsearch.bulk`` unchanged.
+
+        :return: bulk operation results
+        """
+        es = cls._get_connection(using)
+
+        i = cls._default_index(index)
+        assert i is not None
+
+        class Generate:
+            def __init__(
+                self,
+                doc_iterator: Iterable[Union[Document, Dict[str, Any]]],
+            ):
+                self.doc_iterator = doc_iterator.__iter__()
+
+            def __iter__(self) -> Self:
+                return self
+
+            def __next__(self) -> Dict[str, Any]:
+                doc = self.doc_iterator.__next__()
+
+                if isinstance(doc, dict):
+                    action = doc
+                    doc: Optional[Document] = None
+                    if "_source" in action and isinstance(action["_source"], Document):
+                        doc = action["_source"]
+                        if validate:  # pragma: no cover
+                            doc.full_clean()
+                        action["_source"] = doc.to_dict(
+                            include_meta=False, skip_empty=skip_empty
+                        )
+                else:
+                    if validate:  # pragma: no cover
+                        doc.full_clean()
+                    action = doc.to_dict(include_meta=True, skip_empty=skip_empty)
+                if "_index" not in action:
+                    action["_index"] = i
+                # if doc is not None and doc.meta.id is not None and "_id" not in action:
+                #    action["_id"] = doc.meta.id
+                print(action)
+                return action
+
+        return bulk(es, Generate(actions), **kwargs)

tests/test_integration/_async/test_document.py

@@ -23,10 +23,11 @@
 
 from datetime import datetime
 from ipaddress import ip_address
-from typing import Any
+from typing import TYPE_CHECKING, Any, List
 
 import pytest
 from elasticsearch import AsyncElasticsearch, ConflictError, NotFoundError
+from elasticsearch.helpers.errors import BulkIndexError
 from pytest import raises
 from pytz import timezone
 
@@ -49,6 +50,7 @@
     RankFeatures,
     Text,
     analyzer,
+    mapped_field,
 )
 from elasticsearch_dsl.utils import AttrList
 
@@ -705,3 +707,89 @@ async def test_highlight_in_meta(async_data_client: AsyncElasticsearch) -> None:
     assert "description" in commit.meta.highlight
     assert isinstance(commit.meta.highlight["description"], AttrList)
     assert len(commit.meta.highlight["description"]) > 0
+
+
+@pytest.mark.asyncio
+async def test_bulk(async_data_client: AsyncElasticsearch) -> None:
+    class Address(InnerDoc):
+        street: str
+        active: bool
+
+    class Doc(AsyncDocument):
+        if TYPE_CHECKING:
+            _id: int
+        name: str
+        age: int
+        languages: List[str] = mapped_field(Keyword())
+        addresses: List[Address]
+
+        class Index:
+            name = "bulk-index"
+
+    await Doc._index.delete(ignore_unavailable=True)
+    await Doc.init()
+
+    async def gen1():
+        yield Doc(
+            name="Joe",
+            age=33,
+            languages=["en", "fr"],
+            addresses=[
+                Address(street="123 Main St", active=True),
+                Address(street="321 Park Dr.", active=False),
+            ],
+        )
+        yield Doc(name="Susan", age=20, languages=["en"])
+        yield {"_op_type": "create", "_id": "45", "_source": Doc(name="Sarah", age=45)}
+
+    await Doc.bulk(gen1(), refresh=True)
+    docs = list(await Doc.search().execute())
+    assert len(docs) == 3
+    assert docs[0].to_dict() == {
+        "name": "Joe",
+        "age": 33,
+        "languages": [
+            "en",
+            "fr",
+        ],
+        "addresses": [
+            {
+                "active": True,
+                "street": "123 Main St",
+            },
+            {
+                "active": False,
+                "street": "321 Park Dr.",
+            },
+        ],
+    }
+    assert docs[1].to_dict() == {
+        "name": "Susan",
+        "age": 20,
+        "languages": ["en"],
+    }
+    assert docs[2].to_dict() == {
+        "name": "Sarah",
+        "age": 45,
+    }
+    assert docs[2].meta.id == "45"
+
+    async def gen2():
+        yield {"_op_type": "create", "_id": "45", "_source": Doc(name="Sarah", age=45)}
+
+    # a "create" action with an existing id should fail
+    with raises(BulkIndexError):
+        await Doc.bulk(gen2(), refresh=True)
+
+    async def gen3():
+        yield Doc(_id="45", name="Sarah", age=45, languages=["es"])
+        yield {"_op_type": "delete", "_id": docs[1].meta.id}
+
+    await Doc.bulk(gen3(), refresh=True)
+    with raises(NotFoundError):
+        await Doc.get(docs[1].meta.id)
+    assert (await Doc.get("45")).to_dict() == {
+        "name": "Sarah",
+        "age": 45,
+        "languages": ["es"],
+    }