# Elasticsearch huge CPU utilisation

**URL:** <https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707>\
**Category:** Elasticsearch\
**Created:** [October 14, 2021, 10:15am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707 "2021-10-14T10:15:41Z")\
**Posts on this page:** 8\
**Page:** 1

<div class="post-metadata">

**Author:** ![dominbdg](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/dominbdg/32/102457_2.png) [@dominbdg](https://discuss.elastic.co/u/dominbdg)\
**Post date:** [October 14, 2021, 10:15am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/1 "2021-10-14T10:15:41Z")

</div>

Hello,  
We have ELK Stack in our Company.  
Last time I had stability issues with Elasticsearch - meaning Elasticsearch was running after restart and after 3 hours was hung.  
Right now I see java process in Elasticsearch is consuming a lot of processor time.

Can You please advise how can I start investigation of this issue and what is consuming a log of CPU ? ![memory](https://us1.discourse-cdn.com/elastic/original/3X/9/4/945d76c95e9ead2f72d2fa42671b65a2476699a1.jpeg)

---

<div class="post-metadata">

**Author:** ![Mark\_Harwood](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/mark_harwood/32/10538_2.png) [@Mark\_Harwood](https://discuss.elastic.co/u/Mark_Harwood)\
**Post date:** [October 14, 2021, 10:24am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/2 "2021-10-14T10:24:35Z")

</div>

Hi Dominik,  
I'd start by looking at the output of the [hot threads API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-nodes-hot-threads.html)

---

<div class="post-metadata">

**Author:** ![dominbdg](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/dominbdg/32/102457_2.png) [@dominbdg](https://discuss.elastic.co/u/dominbdg)\
**Post date:** [October 14, 2021, 6:12pm UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/3 "2021-10-14T18:12:15Z")

</div>

Hello, Mark  
Thanks for reply,  
when I'm analyzing hot threads, I founded the following:

```auto

102.3% (511.3ms out of 500ms) cpu usage by thread 'elasticsearch[elasticsearch-main-0][management][T#5]'

```

```auto
9.2% (45.9ms out of 500ms) cpu usage by thread 'elasticsearch[elasticsearch-main-0][transport_worker][T#6]'

```

As I assume, transport worker is reposnsible of communication with logstash,  
but do You know what does mean 'management' with utilisation of more than 100% ?

---

<div class="post-metadata">

**Author:** ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)\
**Post date:** [October 15, 2021, 12:22am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/4 "2021-10-15T00:22:15Z")

</div>

What is the output from the `_cluster/stats?pretty&human` API?

---

<div class="post-metadata">

**Author:** ![Mark\_Harwood](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/mark_harwood/32/10538_2.png) [@Mark\_Harwood](https://discuss.elastic.co/u/Mark_Harwood)\
**Post date:** [October 15, 2021, 9:15am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/5 "2021-10-15T09:15:29Z")

</div>

> [@dominbdg](#):
>
> You know what does mean 'management' with utilisation of more than 100% ?

Various tasks are performed using management threads. Can you post the stacktrace under that line so we can see which task might be dominating?

---

<div class="post-metadata">

**Author:** ![dominbdg](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/dominbdg/32/102457_2.png) [@dominbdg](https://discuss.elastic.co/u/dominbdg)\
**Post date:** [October 15, 2021, 11:06am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/6 "2021-10-15T11:06:30Z")

</div>

Hello,  
Thanks for Your reply,  
please find exported file in attach.  
And many thanks also for this api - currently I have a doubts if one node of Elasticsearch is enough a such amount of shards and indices. And also I have 20GB of RAM memory for this node, please let me know if this is enough.

```auto
{
  "_nodes" : {
    "total" : 1,
    "successful" : 1,
    "failed" : 0
  },
  "cluster_name" : "main-cluster",
  "cluster_uuid" : "-I4W_co8Tn2QO__QW5bbCg",
  "timestamp" : 1634295503145,
  "status" : "yellow",
  "indices" : {
    "count" : 4484,
    "shards" : {
      "total" : 7824,
      "primaries" : 7824,
      "replication" : 0.0,
      "index" : {
        "shards" : {
          "min" : 1,
          "max" : 5,
          "avg" : 1.744870651204282
        },
        "primaries" : {
          "min" : 1,
          "max" : 5,
          "avg" : 1.744870651204282
        },
        "replication" : {
          "min" : 0.0,
          "max" : 0.0,
          "avg" : 0.0
        }
      }
    },
    "docs" : {
      "count" : 624816902,
      "deleted" : 6792
    },
    "store" : {
      "size" : "238.5gb",
      "size_in_bytes" : 256194468121,
      "reserved" : "0b",
      "reserved_in_bytes" : 0
    },
    "fielddata" : {
      "memory_size" : "1.2kb",
      "memory_size_in_bytes" : 1264,
      "evictions" : 0
    },
    "query_cache" : {
      "memory_size" : "3mb",
      "memory_size_in_bytes" : 3225577,
      "total_count" : 12825,
      "hit_count" : 1288,
      "miss_count" : 11537,
      "cache_size" : 370,
      "cache_count" : 375,
      "evictions" : 5
    },
    "completion" : {
      "size" : "0b",
      "size_in_bytes" : 0
    },
    "segments" : {
      "count" : 40283,
      "memory" : "414mb",
      "memory_in_bytes" : 434151758,
      "terms_memory" : "339.6mb",
      "terms_memory_in_bytes" : 356152704,
      "stored_fields_memory" : "19.1mb",
      "stored_fields_memory_in_bytes" : 20066952,
      "term_vectors_memory" : "0b",
      "term_vectors_memory_in_bytes" : 0,
      "norms_memory" : "37.7mb",
      "norms_memory_in_bytes" : 39539200,
      "points_memory" : "0b",
      "points_memory_in_bytes" : 0,
      "doc_values_memory" : "17.5mb",
      "doc_values_memory_in_bytes" : 18392902,
      "index_writer_memory" : "29.7mb",
      "index_writer_memory_in_bytes" : 31147064,
      "version_map_memory" : "361.9kb",
      "version_map_memory_in_bytes" : 370638,
      "fixed_bit_set" : "35.5mb",
      "fixed_bit_set_memory_in_bytes" : 37239368,
      "max_unsafe_auto_id_timestamp" : 1634204694625,
      "file_sizes" : { }
    },
    "mappings" : {
      "field_types" : [
        {
          "name" : "alias",
          "count" : 12852,
          "index_count" : 378
        },
        {
          "name" : "binary",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "boolean",
          "count" : 41360,
          "index_count" : 454
        },
        {
          "name" : "byte",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "constant_keyword",
          "count" : 2,
          "index_count" : 1
        },
        {
          "name" : "date",
          "count" : 60691,
          "index_count" : 4468
        },
        {
          "name" : "date_nanos",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "date_range",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "double",
          "count" : 12475,
          "index_count" : 379
        },
        {
          "name" : "double_range",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "flattened",
          "count" : 3024,
          "index_count" : 378
        },
        {
          "name" : "float",
          "count" : 12969,
          "index_count" : 1085
        },
        {
          "name" : "float_range",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "geo_point",
          "count" : 3205,
          "index_count" : 559
        },
        {
          "name" : "geo_shape",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "half_float",
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        },
        {
          "name" : "integer",
          "count" : 3068,
          "index_count" : 188
        },
        {
          "name" : "integer_range",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "ip",
          "count" : 47432,
          "index_count" : 560
        },
        {
          "name" : "ip_range",
          "count" : 1,
          "index_count" : 1
        },
        {
          "name" : "keyword",
          "count" : 1473613,
          "index_count" : 4468
        },
        {
          "name" : "long",
          "count" : 379411,
          "index_count" : 4463
        },
        {
          "name" : "long_range",
          "count" : 1,
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        },
        {
          "name" : "nested",
          "count" : 1357,
          "index_count" : 573
        },
        {
          "name" : "object",
          "count" : 302328,
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        },
        {
          "name" : "shape",
          "count" : 1,
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        {
          "name" : "short",
          "count" : 38179,
          "index_count" : 379
        },
        {
          "name" : "text",
          "count" : 133946,
          "index_count" : 4467
        }
      ]
    },
    "analysis" : {
      "char_filter_types" : [],
      "tokenizer_types" : [],
      "filter_types" : [],
      "analyzer_types" : [],
      "built_in_char_filters" : [],
      "built_in_tokenizers" : [],
      "built_in_filters" : [],
      "built_in_analyzers" : []
    },
    "versions" : [
      {
        "version" : "7.8.0",
        "index_count" : 6,
        "primary_shard_count" : 6,
        "total_primary_size" : "547.4kb",
        "total_primary_bytes" : 560614
      },
      {
        "version" : "7.10.1",
        "index_count" : 38,
        "primary_shard_count" : 38,
        "total_primary_size" : "2.6gb",
        "total_primary_bytes" : 2820692333
      },
      {
        "version" : "7.11.1",
        "index_count" : 4440,
        "primary_shard_count" : 7780,
        "total_primary_size" : "235.9gb",
        "total_primary_bytes" : 253373215174
      }
    ]
  },
  "nodes" : {
    "count" : {
      "total" : 1,
      "coordinating_only" : 0,
      "data" : 1,
      "data_cold" : 1,
      "data_content" : 1,
      "data_hot" : 1,
      "data_warm" : 1,
      "ingest" : 1,
      "master" : 1,
      "ml" : 1,
      "remote_cluster_client" : 1,
      "transform" : 1,
      "voting_only" : 0
    },
    "versions" : [
      "7.11.1"
    ],
    "os" : {
      "available_processors" : 6,
      "allocated_processors" : 6,
      "names" : [
        {
          "name" : "Linux",
          "count" : 1
        }
      ],
      "pretty_names" : [
        {
          "pretty_name" : "CentOS Linux 8",
          "count" : 1
        }
      ],
      "mem" : {
        "total" : "20gb",
        "total_in_bytes" : 21474836480,
        "free" : "5.6mb",
        "free_in_bytes" : 5939200,
        "used" : "19.9gb",
        "used_in_bytes" : 21468897280,
        "free_percent" : 0,
        "used_percent" : 100
      }
    },
    "process" : {
      "cpu" : {
        "percent" : 36
      },
      "open_file_descriptors" : {
        "min" : 49688,
        "max" : 49688,
        "avg" : 49688
      }
    },
    "jvm" : {
      "max_uptime" : "1d",
      "max_uptime_in_millis" : 91498609,
      "versions" : [
        {
          "version" : "15.0.1",
          "vm_name" : "OpenJDK 64-Bit Server VM",
          "vm_version" : "15.0.1+9",
          "vm_vendor" : "AdoptOpenJDK",
          "bundled_jdk" : true,
          "using_bundled_jdk" : true,
          "count" : 1
        }
      ],
      "mem" : {
        "heap_used" : "8.7gb",
        "heap_used_in_bytes" : 9414204896,
        "heap_max" : "12gb",
        "heap_max_in_bytes" : 12884901888
      },
      "threads" : 228
    },
    "fs" : {
      "total" : "349.9gb",
      "total_in_bytes" : 375704780800,
      "free" : "108.9gb",
      "free_in_bytes" : 116941488128,
      "available" : "108.9gb",
      "available_in_bytes" : 116941488128
    },
    "plugins" : [
      {
        "name" : "repository-s3",
        "version" : "7.11.1",
        "elasticsearch_version" : "7.11.1",
        "java_version" : "1.8",
        "description" : "The S3 repository plugin adds S3 repositories",
        "classname" : "org.elasticsearch.repositories.s3.S3RepositoryPlugin",
        "extended_plugins" : [],
        "has_native_controller" : false,
        "licensed" : false,
        "type" : "isolated"
      }
    ],
    "network_types" : {
      "transport_types" : {
        "security4" : 1
      },
      "http_types" : {
        "security4" : 1
      }
    },
    "discovery_types" : {
      "zen" : 1
    },
    "packaging_types" : [
      {
        "flavor" : "default",
        "type" : "docker",
        "count" : 1
      }
    ],
    "ingest" : {
      "number_of_pipelines" : 17,
      "processor_stats" : {
        "conditional" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "geoip" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "grok" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "gsub" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "remove" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "rename" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "script" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        },
        "set" : {
          "count" : 0,
          "failed" : 0,
          "current" : 0,
          "time" : "0s",
          "time_in_millis" : 0
        }
      }
    }
  }
}

```

---

<div class="post-metadata">

**Author:** ![Mark\_Harwood](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/mark_harwood/32/10538_2.png) [@Mark\_Harwood](https://discuss.elastic.co/u/Mark_Harwood)\
**Post date:** [October 15, 2021, 11:10am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/7 "2021-10-15T11:10:02Z")

</div>

That doesn't look like hot threads API output.  
I was looking for the lines after this one:

> 102.3% (511.3ms out of 500ms) cpu usage by thread 'elasticsearch[elasticsearch-main-0][management][T#5]'

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [November 12, 2021, 11:10am UTC](https://discuss.elastic.co/t/elasticsearch-huge-cpu-utilisation/286707/8 "2021-11-12T11:10:11Z")

</div>

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