Elasticsearch - Indices stats 获取索引级别的统计信息之六 【segments】段的内存使用情况
文章目录
-
-
- 一、获取segments内存使用信息
-
- 1、获取所有索引的segments信息
- 2、获取指定索引的segments信息
- 3、获取同类索引的segments信息
- 二、输出结果
- 三、可选参数：include_segment_file_size
-
- 请求url
- 输出结果为
- 四、结果详情
-
- 1、_shards
- 2、_all
- 3、indices
-
转载请标明出处：
http://blog.csdn.net/qq_27818541/article/details/113135809
本文出自:【BigManing的博客】
一、获取segments内存使用信息
segments的内存使用情况。查询时，可以不指定索引 、也可以指定具体索引、也可以指定模糊索引。
1、获取所有索引的segments信息
http://local.elasticsearch:9200/_stats/segments
2、获取指定索引的segments信息
http://local.elasticsearch:9200/book/_stats/segments
3、获取同类索引的segments信息
log索引是按天滚动新增的，这样可以定义log-*来查询所有log索引的统计信息
http://local.elasticsearch:9200/log-*/_stats/segments
二、输出结果
{
"_shards": {
"total": 32,
"successful": 32,
"failed": 0
},
"_all": {
"primaries": {
"segments": {
// 该索引目前拥有的总段数
"count": 169,
// 该索引缓存在内存中字节数
"memory_in_bytes": 4404644,
// 倒排索引(term)缓存在内中所占字节数
"terms_memory_in_bytes": 3723502,
// 该索引定义为stored_fields字段在内存中缓存的字节数
"stored_fields_memory_in_bytes": 574016,
// 该索引term_vectors(词向量)在内存中所占字节数量
"term_vectors_memory_in_bytes": 0,
// 该索引存储对应norms=true的字段当前在内存中缓存字节数
"norms_memory_in_bytes": 10816,
// 与地理位置相关的缓存数据
"points_memory_in_bytes": 67946,
// 设置为doc_values缓存在内存中的字节数（doc_values,列式存储）
"doc_values_memory_in_bytes": 28364,
// 用于优化索引写的缓存（减少写磁盘的频率
"index_writer_memory_in_bytes": 768320,
// 关于文档的版本映射所占内存大小
"version_map_memory_in_bytes": 0,
// fixed_bit_set内存，专门用来做nested查询的
"fixed_bit_set_memory_in_bytes": 0,
// es内部当前的自增ID
"max_unsafe_auto_id_timestamp": -1,
"file_sizes": {
}
}
},
"total": {
"segments": {
"count": 330,
"memory_in_bytes": 8775500,
"terms_memory_in_bytes": 7417480,
"stored_fields_memory_in_bytes": 1147528,
"term_vectors_memory_in_bytes": 0,
"norms_memory_in_bytes": 21120,
"points_memory_in_bytes": 136188,
"doc_values_memory_in_bytes": 53184,
"index_writer_memory_in_bytes": 768320,
"version_map_memory_in_bytes": 0,
"fixed_bit_set_memory_in_bytes": 0,
"max_unsafe_auto_id_timestamp": -1,
"file_sizes": {
}
}
}
},
"indices": {
"book-20210120": {
"uuid": "k43l2I4T2hCVYxgmvFb2Dy",
"primaries": {
"segments": {
"count": 8,
"memory_in_bytes": 247039,
"terms_memory_in_bytes": 209657,
"stored_fields_memory_in_bytes": 32272,
"term_vectors_memory_in_bytes": 0,
"norms_memory_in_bytes": 512,
"points_memory_in_bytes": 3998,
"doc_values_memory_in_bytes": 600,
"index_writer_memory_in_bytes": 0,
"version_map_memory_in_bytes": 0,
"fixed_bit_set_memory_in_bytes": 0,
"max_unsafe_auto_id_timestamp": -1,
"file_sizes": {
}
}
},
"total": {
"segments": {
"count": 17,
"memory_in_bytes": 499726,
"terms_memory_in_bytes": 422271,
"stored_fields_memory_in_bytes": 65088,
"term_vectors_memory_in_bytes": 0,
"norms_memory_in_bytes": 1088,
"points_memory_in_bytes": 8011,
"doc_values_memory_in_bytes": 3268,
"index_writer_memory_in_bytes": 0,
"version_map_memory_in_bytes": 0,
"fixed_bit_set_memory_in_bytes": 0,
"max_unsafe_auto_id_timestamp": -1,
"file_sizes": {
}
}
}
},
...
}
}
三、可选参数：include_segment_file_size
设置include_segment_file_size=true(默认为false)，将输出每个Lucene索引文件的聚合磁盘使用情况 。
请求url
http://local.elasticsearch:9200/log-*/_stats/segments?include_segment_file_sizes
输出结果为
多出来了file_sizes 这个字段：
{
"_shards": {
"total": 32,
"successful": 32,
"failed": 0
},
"_all": {
"primaries": {
"segments": {
"count": 164,
"memory_in_bytes": 4387944,
"terms_memory_in_bytes": 3711085,
"stored_fields_memory_in_bytes": 572608,
"term_vectors_memory_in_bytes": 0,
"norms_memory_in_bytes": 10496,
"points_memory_in_bytes": 67939,
"doc_values_memory_in_bytes": 25816,
"index_writer_memory_in_bytes": 826908,
"version_map_memory_in_bytes": 756,
"fixed_bit_set_memory_in_bytes": 0,
"max_unsafe_auto_id_timestamp": -1,
"file_sizes": {
"si": {
"size_in_bytes": 33165,
"description": "Segment Info"
},
"fdx": {
"size_in_bytes": 523949,
"description": "Field Index"
},
"tip": {
"size_in_bytes": 3315096,
"description": "Term Index"
},
"tim": {
"size_in_bytes": 452588688,
"description": "Term Dictionary"
},
"doc": {
"size_in_bytes": 149518168,
"description": "Frequencies"
},
"fnm": {
"size_in_bytes": 415461,
"description": "Fields"
},
"fdt": {
"size_in_bytes": 448491261,
"description": "Field Data"
},
"dii": {
"size_in_bytes": 12674,
"description": "Points"
},
"nvd": {
"size_in_bytes": 4001117,
"description": "Norms"
},
"pos": {
"size_in_bytes": 99208713,
"description": "Positions"
},
"dvm": {
"size_in_bytes": 352311,
"description": "DocValues"
},
"dim": {
"size_in_bytes": 56562386,
"description": "Points"
},
"dvd": {
"size_in_bytes": 368310527,
"description": "DocValues"
},
"nvm": {
"size_in_bytes": 16400,
"description": "Norms"
}
}
}
},
"total": {
"segments": {
"count": 326,
"memory_in_bytes": 8764533,
"terms_memory_in_bytes": 7408968,
"stored_fields_memory_in_bytes": 1146592,
"term_vectors_memory_in_bytes": 0,
"norms_memory_in_bytes": 20864,
"points_memory_in_bytes": 136237,
"doc_values_memory_in_bytes": 51872,
"index_writer_memory_in_bytes": 1653816,
"version_map_memory_in_bytes": 1512,
"fixed_bit_set_memory_in_bytes": 0,
"max_unsafe_auto_id_timestamp": -1,
"file_sizes": {
"tim": {
"size_in_bytes": 905515161,
"description": "Term Dictionary"
},
"si": {
"size_in_bytes": 64521,
"description": "Segment Info"
},
"doc": {
"size_in_bytes": 299085852,
"description": "Frequencies"
},
"fnm": {
"size_in_bytes": 826587,
"description": "Fields"
},
"fdx": {
"size_in_bytes": 1048907,
"description": "Field Index"
},
"dvm": {
"size_in_bytes": 701445,
"description": "DocValues"
},
"dii": {
"size_in_bytes": 25194,
"description": "Points"
},
"nvd": {
"size_in_bytes": 8002112,
"description": "Norms"
},
"fdt": {
"size_in_bytes": 897083939,
"description": "Field Data"
},
"nvm": {
"size_in_bytes": 32600,
"description": "Norms"
},
"dim": {
"size_in_bytes": 113140814,
"description": "Points"
},
"dvd": {
"size_in_bytes": 736628331,
"description": "DocValues"
},
"tip": {
"size_in_bytes": 6630239,
"description": "Term Index"
},
"pos": {
"size_in_bytes": 198247799,
"description": "Positions"
}
}
}
}
},
...
}
四、结果详情
1、_shards
分片信息：总数、成功返回数、失败返回数
2、_all
全局维度统计详情
-
primaries：主分片上的统计信息 -
total： 所有分片（主分片+副本分片）上的统计信息
3、indices
索引维度统计详情
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