in elasticsearch_serverless/_sync/client/__init__.py [0:0]
def msearch(
self,
*,
searches: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None,
body: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None,
index: t.Optional[t.Union[str, t.Sequence[str]]] = None,
allow_no_indices: t.Optional[bool] = None,
ccs_minimize_roundtrips: t.Optional[bool] = None,
error_trace: t.Optional[bool] = None,
expand_wildcards: t.Optional[
t.Union[
t.Sequence[
t.Union[str, t.Literal["all", "closed", "hidden", "none", "open"]]
],
t.Union[str, t.Literal["all", "closed", "hidden", "none", "open"]],
]
] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
human: t.Optional[bool] = None,
ignore_throttled: t.Optional[bool] = None,
ignore_unavailable: t.Optional[bool] = None,
include_named_queries_score: t.Optional[bool] = None,
max_concurrent_searches: t.Optional[int] = None,
max_concurrent_shard_requests: t.Optional[int] = None,
pre_filter_shard_size: t.Optional[int] = None,
pretty: t.Optional[bool] = None,
rest_total_hits_as_int: t.Optional[bool] = None,
routing: t.Optional[str] = None,
search_type: t.Optional[
t.Union[str, t.Literal["dfs_query_then_fetch", "query_then_fetch"]]
] = None,
typed_keys: t.Optional[bool] = None,