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opensearch-pyd/opensearch/helpers/actions.pyi
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# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
#
# Modifications Copyright OpenSearch Contributors. See
# GitHub history for details.
#
# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import logging
from typing import (
Any,
AsyncIterable,
Callable,
Collection,
Dict,
Generator,
Iterable,
List,
Mapping,
Optional,
Tuple,
Union,
)
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from ..client import OpenSearch
from ..serializer import Serializer
logger: logging.Logger
def expand_action(data: Any) -> Tuple[Dict[str, Any], Optional[Any]]: ...
def _chunk_actions(
actions: Any, chunk_size: int, max_chunk_bytes: int, serializer: Serializer
) -> Generator[Any, None, None]: ...
def _process_bulk_chunk(
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client: OpenSearch,
bulk_actions: Any,
bulk_data: Any,
raise_on_exception: bool = ...,
raise_on_error: bool = ...,
*args: Any,
**kwargs: Any
) -> Generator[Tuple[bool, Any], None, None]: ...
def streaming_bulk(
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client: OpenSearch,
actions: Union[Iterable[Any], AsyncIterable[Any]],
chunk_size: int = ...,
max_chunk_bytes: int = ...,
raise_on_error: bool = ...,
expand_action_callback: Callable[[Any], Tuple[Dict[str, Any], Optional[Any]]] = ...,
raise_on_exception: bool = ...,
max_retries: int = ...,
initial_backoff: Union[float, int] = ...,
max_backoff: Union[float, int] = ...,
yield_ok: bool = ...,
ignore_status: Optional[Union[int, Collection[int]]] = ...,
*args: Any,
**kwargs: Any
) -> Generator[Tuple[bool, Any], None, None]: ...
def bulk(
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client: OpenSearch,
actions: Iterable[Any],
stats_only: bool = ...,
ignore_status: Optional[Union[int, Collection[int]]] = ...,
*args: Any,
**kwargs: Any
) -> Tuple[int, Union[int, List[Any]]]: ...
def parallel_bulk(
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client: OpenSearch,
actions: Iterable[Any],
thread_count: int = ...,
chunk_size: int = ...,
max_chunk_bytes: int = ...,
queue_size: int = ...,
expand_action_callback: Callable[[Any], Tuple[Dict[str, Any], Optional[Any]]] = ...,
ignore_status: Optional[Union[int, Collection[int]]] = ...,
*args: Any,
**kwargs: Any
) -> Generator[Tuple[bool, Any], None, None]: ...
def scan(
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client: OpenSearch,
query: Optional[Any] = ...,
scroll: str = ...,
raise_on_error: bool = ...,
preserve_order: bool = ...,
size: int = ...,
request_timeout: Optional[Union[float, int]] = ...,
clear_scroll: bool = ...,
scroll_kwargs: Optional[Mapping[str, Any]] = ...,
**kwargs: Any
) -> Generator[Any, None, None]: ...
def reindex(
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client: OpenSearch,
source_index: Union[str, Collection[str]],
target_index: str,
query: Any = ...,
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target_client: Optional[OpenSearch] = ...,
chunk_size: int = ...,
scroll: str = ...,
scan_kwargs: Optional[Mapping[str, Any]] = ...,
bulk_kwargs: Optional[Mapping[str, Any]] = ...,
) -> Tuple[int, Union[int, List[Any]]]: ...