ExecuteQueryInput ¶

class ExecuteQueryInput(TypedDict, closed=True):
    graph_identifier: "capo_neptune_graph.types.graph_identifier.GraphIdentifier"
    """<p>The unique identifier of the Neptune Analytics graph.</p>"""
    query_string: "str"
    """<p>The query string to be executed.</p>"""
    language: "capo_neptune_graph.types.query_language.QueryLanguage"
    """<p>The query language the query is written in. Currently only openCypher is supported.</p>"""
    parameters: NotRequired[
        "capo_neptune_graph.types.document_valued_map.DocumentValuedMap"
    ]
    """<p>The data parameters the query can use in JSON format. For example: {"name": "john", "age": 20}. (optional) </p>"""
    plan_cache: NotRequired["capo_neptune_graph.types.plan_cache_type.PlanCacheType"]
    """<p>Query plan cache is a feature that saves the query plan and reuses it on successive executions of the same query. This reduces query latency, and works for both <code>READ</code> and <code>UPDATE</code> queries. The plan cache is an LRU cache with a 5 minute TTL and a capacity of 1000.</p>"""
    explain_mode: NotRequired["capo_neptune_graph.types.explain_mode.ExplainMode"]
    """<p>The explain mode parameter returns a query explain instead of the actual query results. A query explain can be used to gather insights about the query execution such as planning decisions, time spent on each operator, solutions flowing etc.</p>"""
    query_timeout_milliseconds: NotRequired["int"]
    """<p>Specifies the query timeout duration, in milliseconds. (optional)</p>"""