def msearch()

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,