Node Stats APIedit

The node stats API retrieves runtime stats about Logstash.

curl -XGET 'localhost:9600/_node/stats/<types>'

Where <types> is optional and specifies the types of stats you want to return.

By default, all stats are returned. You can limit the info that’s returned by combining any of the following types in a comma-separated list:

jvm

Gets JVM stats, including stats about threads, memory usage, garbage collectors, and uptime.

process

Gets process stats, including stats about file descriptors, memory consumption, and CPU usage.

events

Gets event-related statistics for the Logstash instance (regardless of how many pipelines were created and destroyed).

flow

Gets flow-related statistics for the Logstash instance (regardless of how many pipelines were created and destroyed).

pipelines

Gets runtime stats about each Logstash pipeline.

reloads

Gets runtime stats about config reload successes and failures.

os

Gets runtime stats about cgroups when Logstash is running in a container.

geoip_download_manager

Gets stats for databases used with the Geoip filter plugin.

See Common Options for a list of options that can be applied to all Logstash monitoring APIs.

JVM statsedit

The following request returns a JSON document containing JVM stats:

curl -XGET 'localhost:9600/_node/stats/jvm?pretty'

Example response:

{
  "jvm" : {
    "threads" : {
      "count" : 49,
      "peak_count" : 50
    },
    "mem" : {
      "heap_used_percent" : 14,
      "heap_committed_in_bytes" : 309866496,
      "heap_max_in_bytes" : 1037959168,
      "heap_used_in_bytes" : 151686096,
      "non_heap_used_in_bytes" : 122486176,
      "non_heap_committed_in_bytes" : 133222400,
      "pools" : {
        "survivor" : {
          "peak_used_in_bytes" : 8912896,
          "used_in_bytes" : 288776,
          "peak_max_in_bytes" : 35782656,
          "max_in_bytes" : 35782656,
          "committed_in_bytes" : 8912896
        },
        "old" : {
          "peak_used_in_bytes" : 148656848,
          "used_in_bytes" : 148656848,
          "peak_max_in_bytes" : 715849728,
          "max_in_bytes" : 715849728,
          "committed_in_bytes" : 229322752
        },
        "young" : {
          "peak_used_in_bytes" : 71630848,
          "used_in_bytes" : 2740472,
          "peak_max_in_bytes" : 286326784,
          "max_in_bytes" : 286326784,
          "committed_in_bytes" : 71630848
        }
      }
    },
    "gc" : {
      "collectors" : {
        "old" : {
          "collection_time_in_millis" : 607,
          "collection_count" : 12
        },
        "young" : {
          "collection_time_in_millis" : 4904,
          "collection_count" : 1033
        }
      }
    },
    "uptime_in_millis" : 1809643
  }

Process statsedit

The following request returns a JSON document containing process stats:

curl -XGET 'localhost:9600/_node/stats/process?pretty'

Example response:

{
  "process" : {
    "open_file_descriptors" : 184,
    "peak_open_file_descriptors" : 185,
    "max_file_descriptors" : 10240,
    "mem" : {
      "total_virtual_in_bytes" : 5486125056
    },
    "cpu" : {
      "total_in_millis" : 657136,
      "percent" : 2,
      "load_average" : {
        "1m" : 2.38134765625
      }
    }
  }

Event statsedit

The following request returns a JSON document containing event-related statistics for the Logstash instance:

curl -XGET 'localhost:9600/_node/stats/events?pretty'

Example response:

{
  "events" : {
    "in" : 293658,
    "filtered" : 293658,
    "out" : 293658,
    "duration_in_millis" : 2324391,
    "queue_push_duration_in_millis" : 343816
  }

Flow statsedit

The following request returns a JSON document containing flow-rates for the Logstash instance:

curl -XGET 'localhost:9600/_node/stats/flow?pretty'

Example response:

{
  "flow" : {
    "input_throughput" : {
      "current": 189.720,
      "lifetime": 201.841
    },
    "filter_throughput" : {
      "current": 187.810,
      "lifetime": 201.799
    },
    "output_throughput" : {
      "current": 191.087,
      "lifetime": 201.761
    },
    "queue_backpressure" : {
      "current": 0.277,
      "lifetime": 0.031
    },
    "worker_concurrency" : {
      "current": 1.973,
      "lifetime": 1.721
    }
  }
}

Flow rates provide visibility into how a Logstash instance or an individual pipeline is currently performing relative to itself over time. This allows us to attach meaning to the cumulative-value metrics that are also presented by this API, and to determine whether an instance or pipeline is behaving better or worse than it has in the past.

Flow Rate Definition

input_throughput

This metric is expressed in events-per-second, and is the rate of events being pushed into the pipeline(s) queue(s) relative to wall-clock time (events.in / second). It includes events that are blocked by the queue and have not yet been accepted.

filter_throughput

This metric is expressed in events-per-second, and is the rate of events flowing through the filter phase of the pipeline(s) relative to wall-clock time (events.filtered / second).

output_throughput

This metric is expressed in events-per-second, and is the rate of events flowing through the output phase of the pipeline(s) relative to wall-clock time (events.out / second).

worker_concurrency

This is a unitless metric representing the cumulative time spent by all workers relative to wall-clock time (duration_in_millis / millisecond).

A pipeline is considered "saturated" when its worker_concurrency flow metric approaches its available pipeline.workers, because it indicates that all of its available workers are being kept busy. Tuning a saturated pipeline to have more workers can often work to increase that pipeline’s throughput and decrease back-pressure to its queue, unless the pipeline is experiencing back-pressure from its outputs.

A process is also considered "saturated" when its top-level worker_concurrency flow metric approaches the cumulative pipeline.workers across all pipelines, and similarly can be addressed by tuning the individual pipelines that are saturated.

queue_backpressure

This is a unitless metric representing the cumulative time spent by all inputs blocked pushing events into their pipeline’s queue, relative to wall-clock time (queue_push_duration_in_millis / millisecond). It is typically most useful when looking at the stats for an individual pipeline.

While a "zero" value indicates no back-pressure to the queue, the magnitude of this metric is highly dependent on the shape of the pipelines and their inputs. It cannot be used to compare one pipeline to another or even one process to itself if the quantity or shape of its pipelines changes. A pipeline with only one single-threaded input may contribute up to 1.00, a pipeline whose inputs have hundreds of inbound connections may contribute much higher numbers to this combined value.

Additionally, some amount of back-pressure is both normal and expected for pipelines that are pulling data, as this back-pressure allows them to slow down and pull data at a rate its downstream pipeline can tolerate.

Pipeline statsedit

The following request returns a JSON document containing pipeline stats, including:

  • the number of events that were input, filtered, or output by each pipeline
  • the current and lifetime flow rates for each pipeline
  • stats for each configured filter or output stage
  • info about config reload successes and failures (when config reload is enabled)
  • info about the persistent queue (when persistent queues are enabled)
curl -XGET 'localhost:9600/_node/stats/pipelines?pretty'

Example response:

{
  "pipelines" : {
    "test" : {
      "events" : {
        "duration_in_millis" : 365495,
        "in" : 216485,
        "filtered" : 216485,
        "out" : 216485,
        "queue_push_duration_in_millis" : 342466
      },
      "flow" : {
        "input_throughput" : {
          "current": 189.720,
          "lifetime": 201.841
        },
        "filter_throughput" : {
          "current": 187.810,
          "lifetime": 201.799
        },
        "output_throughput" : {
          "current": 191.087,
          "lifetime": 201.761
        },
        "queue_backpressure" : {
          "current": 0.277,
          "lifetime": 0.031
        },
        "worker_concurrency" : {
          "current": 1.973,
          "lifetime": 1.721
        }
      },
      "plugins" : {
        "inputs" : [ {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-1",
          "events" : {
            "out" : 216485,
            "queue_push_duration_in_millis" : 342466
          },
          "name" : "beats"
        } ],
        "filters" : [ {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-2",
          "events" : {
            "duration_in_millis" : 55969,
            "in" : 216485,
            "out" : 216485
          },
          "failures" : 216485,
          "patterns_per_field" : {
            "message" : 1
          },
          "name" : "grok"
        }, {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-3",
          "events" : {
            "duration_in_millis" : 3326,
            "in" : 216485,
            "out" : 216485
          },
          "name" : "geoip"
        } ],
        "outputs" : [ {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-4",
          "events" : {
            "duration_in_millis" : 278557,
            "in" : 216485,
            "out" : 216485
          },
          "name" : "elasticsearch"
        } ]
      },
      "reloads" : {
        "last_error" : null,
        "successes" : 0,
        "last_success_timestamp" : null,
        "last_failure_timestamp" : null,
        "failures" : 0
      },
      "queue" : {
        "type" : "memory"
      }
    },
    "test2" : {
      "events" : {
        "duration_in_millis" : 2222229,
        "in" : 87247,
        "filtered" : 87247,
        "out" : 87247,
        "queue_push_duration_in_millis" : 1532
      },
      "flow" : {
        "input_throughput" : {
          "current": 189.720,
          "lifetime": 201.841
        },
        "filter_throughput" : {
          "current": 187.810,
          "lifetime": 201.799
        },
        "output_throughput" : {
          "current": 191.087,
          "lifetime": 201.761
        },
        "queue_backpressure" : {
          "current": 0.871,
          "lifetime": 0.031
        },
        "worker_concurrency" : {
          "current": 4.71,
          "lifetime": 1.201
        }
      },
      "plugins" : {
        "inputs" : [ {
          "id" : "d7ea8941c0fc48ac58f89c84a9da482107472b82-1",
          "events" : {
            "out" : 87247,
            "queue_push_duration_in_millis" : 1532
          },
          "name" : "twitter"
        } ],
        "filters" : [ ],
        "outputs" : [ {
          "id" : "d7ea8941c0fc48ac58f89c84a9da482107472b82-2",
          "events" : {
            "duration_in_millis" : 139545,
            "in" : 87247,
            "out" : 87247
          },
          "name" : "elasticsearch"
        } ]
      },
      "reloads" : {
        "last_error" : null,
        "successes" : 0,
        "last_success_timestamp" : null,
        "last_failure_timestamp" : null,
        "failures" : 0
      },
      "queue" : {
        "type" : "memory"
      }
    }
  }

You can see the stats for a specific pipeline by including the pipeline ID. In the following example, the ID of the pipeline is test:

curl -XGET 'localhost:9600/_node/stats/pipelines/test?pretty'

Example response:

{
    "test" : {
      "events" : {
        "duration_in_millis" : 365495,
        "in" : 216485,
        "filtered" : 216485,
        "out" : 216485,
        "queue_push_duration_in_millis" : 342466
      },
      "flow" : {
        "input_throughput" : {
          "current": 189.720,
          "lifetime": 201.841
        },
        "filter_throughput" : {
          "current": 187.810,
          "lifetime": 201.799
        },
        "output_throughput" : {
          "current": 191.087,
          "lifetime": 201.761
        },
        "queue_backpressure" : {
          "current": 0.277,
          "lifetime": 0.031
        },
        "worker_concurrency" : {
          "current": 1.973,
          "lifetime": 1.721
        }
      },
      "plugins" : {
        "inputs" : [ {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-1",
          "events" : {
            "out" : 216485,
            "queue_push_duration_in_millis" : 342466
          },
          "name" : "beats"
        } ],
        "filters" : [ {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-2",
          "events" : {
            "duration_in_millis" : 55969,
            "in" : 216485,
            "out" : 216485
          },
          "failures" : 216485,
          "patterns_per_field" : {
            "message" : 1
          },
          "name" : "grok"
        }, {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-3",
          "events" : {
            "duration_in_millis" : 3326,
            "in" : 216485,
            "out" : 216485
          },
          "name" : "geoip"
        } ],
        "outputs" : [ {
          "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-4",
          "events" : {
            "duration_in_millis" : 278557,
            "in" : 216485,
            "out" : 216485
          },
          "name" : "elasticsearch"
        } ]
      },
      "reloads" : {
        "last_error" : null,
        "successes" : 0,
        "last_success_timestamp" : null,
        "last_failure_timestamp" : null,
        "failures" : 0
      },
      "queue" : {
        "type" : "memory"
      }
    }
  }
}

Reload statsedit

The following request returns a JSON document that shows info about config reload successes and failures.

curl -XGET 'localhost:9600/_node/stats/reloads?pretty'

Example response:

{
  "reloads": {
    "successes": 0,
    "failures": 0
  }
}

OS statsedit

When Logstash is running in a container, the following request returns a JSON document that contains cgroup information to give you a more accurate view of CPU load, including whether the container is being throttled.

curl -XGET 'localhost:9600/_node/stats/os?pretty'

Example response:

{
  "os" : {
    "cgroup" : {
      "cpuacct" : {
        "control_group" : "/elastic1",
        "usage_nanos" : 378477588075
                },
      "cpu" : {
        "control_group" : "/elastic1",
        "cfs_period_micros" : 1000000,
        "cfs_quota_micros" : 800000,
        "stat" : {
          "number_of_elapsed_periods" : 4157,
          "number_of_times_throttled" : 460,
          "time_throttled_nanos" : 581617440755
        }
      }
    }
  }

Geoip database statsedit

You can monitor stats for the geoip databases used with the Geoip filter plugin.

curl -XGET 'localhost:9600/_node/stats/geoip_download_manager?pretty'

For more info, see Database Metrics in the Geoip filter plugin docs.