Query parameters

• master_timeout string

  Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.

• timeout string

  Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

Responses

• 200 application/json
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  • _nodes object Required
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    • failures array[object]
      Hide failures attributes Show failures attributes object

      • type string Required

        The type of error

      • reason string

        A human-readable explanation of the error, in English.

      • stack_trace string

        The server stack trace. Present only if the error_trace=true parameter was sent with the request.

      • caused_by object
      • root_cause array[object]
      • suppressed array[object]
    • total number Required

      Total number of nodes selected by the request.

    • successful number Required

      Number of nodes that responded successfully to the request.

    • failed number Required

      Number of nodes that rejected the request or failed to respond. If this value is not 0, a reason for the rejection or failure is included in the response.

  • cluster_name string Required
  • nodes object Required
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    • * object Additional properties
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      • attributes object Required
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        • * string Additional properties
      • jvm object Required
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        • heap_max number | string

          One of:

          ByteSize number ByteSize string
        • heap_max_in_bytes number Required

          Maximum amount of memory, in bytes, available for use by the heap.

        • java_inference number | string

          One of:

          ByteSize number ByteSize string
        • java_inference_in_bytes number Required

          Amount of Java heap, in bytes, currently being used for caching inference models.

        • java_inference_max number | string

          One of:

          ByteSize number ByteSize string
        • java_inference_max_in_bytes number Required

          Maximum amount of Java heap, in bytes, to be used for caching inference models.

      • mem object Required
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        • adjusted_total number | string

          One of:

          ByteSize number ByteSize string
        • adjusted_total_in_bytes number Required

          If the amount of physical memory has been overridden using the es.total_memory_bytes system property then this reports the overridden value in bytes. Otherwise it reports the same value as total_in_bytes.

        • total number | string

          One of:

          ByteSize number ByteSize string
        • total_in_bytes number Required

          Total amount of physical memory in bytes.

        • ml object Required
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          • anomaly_detectors number | string

            One of:

            ByteSize number ByteSize string
          • anomaly_detectors_in_bytes number Required

            Amount of native memory, in bytes, set aside for anomaly detection jobs.

          • data_frame_analytics number | string

            One of:

            ByteSize number ByteSize string
          • data_frame_analytics_in_bytes number Required

            Amount of native memory, in bytes, set aside for data frame analytics jobs.

          • max number | string

            One of:

            ByteSize number ByteSize string
          • max_in_bytes number Required

            Maximum amount of native memory (separate to the JVM heap), in bytes, that may be used by machine learning native processes.

          • native_code_overhead number | string

            One of:

            ByteSize number ByteSize string
          • native_code_overhead_in_bytes number Required

            Amount of native memory, in bytes, set aside for loading machine learning native code shared libraries.

          • native_inference number | string

            One of:

            ByteSize number ByteSize string
          • native_inference_in_bytes number Required

            Amount of native memory, in bytes, set aside for trained models that have a PyTorch model_type.

      • name string Required
      • roles array[string] Required

        Roles assigned to the node.

      • transport_address string Required
      • ephemeral_id string Required