Выполнение сжатия данных с помощью ILM
Это упрощенный пример, который позволяет быстро увидеть, как сжатие данных работает как часть политики ILM для уменьшения размера хранилища выборки метрик. В примере используются типичные данные мониторинга кластера Kubernetes. Чтобы протестировать сжатие данных с помощью ILM, выполните следующие действия:
Предварительные условия
Обратитесь к предварительным условиям потока данных временных рядов.
Перед запуском этого примера вы можете попробовать пример выполнения сжатия данных вручную.
Создание политики жизненного цикла индекса
Создайте политику ILM для ваших данных временных рядов. Хотя это не обязательно, рекомендуется использовать политику ILM для автоматизации управления индексами вашего потока данных временных рядов.
Чтобы включить сжатие данных, добавьте действие сжатия и установите fixed_interval на интервал сжатия, с которым вы хотите агрегировать исходные данные временных рядов.
В этом примере политика ILM настраивается для фазы hot. Сжатие данных происходит после перехода индекса и истечения времени окончания временного ряда индекса, так как ожидается, что исходный индекс будет получать основные записи до этого момента. Управление жизненным циклом индексов не будет продолжать никаких действий, которые ожидают, что индекс больше не будет получать записей до истечения времени окончания индекса. Действия управления жизненным циклом индексов, которые ожидают истечения времени перед продолжением: - Удаление - Сжатие - Принудительное слияние - Только чтение - Поисковый снимок - Сжатие
resp = client.ilm.put_lifecycle(
name="datastream_policy",
policy={
"phases": {
"hot": {
"actions": {
"rollover": {
"max_age": "5m"
},
"downsample": {
"fixed_interval": "1h"
}
}
}
}
},
)
print(resp) response = client.ilm.put_lifecycle(
policy: 'datastream_policy',
body: {
policy: {
phases: {
hot: {
actions: {
rollover: {
max_age: '5m'
},
downsample: {
fixed_interval: '1h'
}
}
}
}
}
}
)
puts response const response = await client.ilm.putLifecycle({
name: "datastream_policy",
policy: {
phases: {
hot: {
actions: {
rollover: {
max_age: "5m",
},
downsample: {
fixed_interval: "1h",
},
},
},
},
},
});
console.log(response); PUT _ilm/policy/datastream_policy
{
"policy": {
"phases": {
"hot": {
"actions": {
"rollover" : {
"max_age": "5m"
},
"downsample": {
"fixed_interval": "1h"
}
}
}
}
}
} Создание шаблона индекса
Это создает шаблон индекса для базового потока данных. Доступные параметры для шаблона индекса подробно описаны в разделе по настройке потока данных временных рядов.
Для простоты во всех time_series_metric параметрах отображения временных рядов устанавливается тип gauge, но также может быть использован тип метрики counter. Значения time_series_metric определяют тип статистических представлений, используемых при сжатии данных.
Шаблон индекса включает набор статических измерений временных рядов: host, namespace, node и pod. Измерения временных рядов не изменяются процессом сжатия данных.
resp = client.indices.put_index_template(
name="datastream_template",
index_patterns=[
"datastream*"
],
data_stream={},
template={
"settings": {
"index": {
"mode": "time_series",
"number_of_replicas": 0,
"number_of_shards": 2
},
"index.lifecycle.name": "datastream_policy"
},
"mappings": {
"properties": {
"@timestamp": {
"type": "date"
},
"kubernetes": {
"properties": {
"container": {
"properties": {
"cpu": {
"properties": {
"usage": {
"properties": {
"core": {
"properties": {
"ns": {
"type": "long"
}
}
},
"limit": {
"properties": {
"pct": {
"type": "float"
}
}
},
"nanocores": {
"type": "long",
"time_series_metric": "gauge"
},
"node": {
"properties": {
"pct": {
"type": "float"
}
}
}
}
}
}
},
"memory": {
"properties": {
"available": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
}
}
},
"majorpagefaults": {
"type": "long"
},
"pagefaults": {
"type": "long",
"time_series_metric": "gauge"
},
"rss": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
}
}
},
"usage": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
},
"limit": {
"properties": {
"pct": {
"type": "float"
}
}
},
"node": {
"properties": {
"pct": {
"type": "float"
}
}
}
}
},
"workingset": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
}
}
}
}
},
"name": {
"type": "keyword"
},
"start_time": {
"type": "date"
}
}
},
"host": {
"type": "keyword",
"time_series_dimension": True
},
"namespace": {
"type": "keyword",
"time_series_dimension": True
},
"node": {
"type": "keyword",
"time_series_dimension": True
},
"pod": {
"type": "keyword",
"time_series_dimension": True
}
}
}
}
}
},
)
print(resp) response = client.indices.put_index_template(
name: 'datastream_template',
body: {
index_patterns: [
'datastream*'
],
data_stream: {},
template: {
settings: {
index: {
mode: 'time_series',
number_of_replicas: 0,
number_of_shards: 2
},
'index.lifecycle.name' => 'datastream_policy'
},
mappings: {
properties: {
"@timestamp": {
type: 'date'
},
kubernetes: {
properties: {
container: {
properties: {
cpu: {
properties: {
usage: {
properties: {
core: {
properties: {
ns: {
type: 'long'
}
}
},
limit: {
properties: {
pct: {
type: 'float'
}
}
},
nanocores: {
type: 'long',
time_series_metric: 'gauge'
},
node: {
properties: {
pct: {
type: 'float'
}
}
}
}
}
}
},
memory: {
properties: {
available: {
properties: {
bytes: {
type: 'long',
time_series_metric: 'gauge'
}
}
},
majorpagefaults: {
type: 'long'
},
pagefaults: {
type: 'long',
time_series_metric: 'gauge'
},
rss: {
properties: {
bytes: {
type: 'long',
time_series_metric: 'gauge'
}
}
},
usage: {
properties: {
bytes: {
type: 'long',
time_series_metric: 'gauge'
},
limit: {
properties: {
pct: {
type: 'float'
}
}
},
node: {
properties: {
pct: {
type: 'float'
}
}
}
}
},
workingset: {
properties: {
bytes: {
type: 'long',
time_series_metric: 'gauge'
}
}
}
}
},
name: {
type: 'keyword'
},
start_time: {
type: 'date'
}
}
},
host: {
type: 'keyword',
time_series_dimension: true
},
namespace: {
type: 'keyword',
time_series_dimension: true
},
node: {
type: 'keyword',
time_series_dimension: true
},
pod: {
type: 'keyword',
time_series_dimension: true
}
}
}
}
}
}
}
)
puts response const response = await client.indices.putIndexTemplate({
name: "datastream_template",
index_patterns: ["datastream*"],
data_stream: {},
template: {
settings: {
index: {
mode: "time_series",
number_of_replicas: 0,
number_of_shards: 2,
},
"index.lifecycle.name": "datastream_policy",
},
mappings: {
properties: {
"@timestamp": {
type: "date",
},
kubernetes: {
properties: {
container: {
properties: {
cpu: {
properties: {
usage: {
properties: {
core: {
properties: {
ns: {
type: "long",
},
},
},
limit: {
properties: {
pct: {
type: "float",
},
},
},
nanocores: {
type: "long",
time_series_metric: "gauge",
},
node: {
properties: {
pct: {
type: "float",
},
},
},
},
},
},
},
memory: {
properties: {
available: {
properties: {
bytes: {
type: "long",
time_series_metric: "gauge",
},
},
},
majorpagefaults: {
type: "long",
},
pagefaults: {
type: "long",
time_series_metric: "gauge",
},
rss: {
properties: {
bytes: {
type: "long",
time_series_metric: "gauge",
},
},
},
usage: {
properties: {
bytes: {
type: "long",
time_series_metric: "gauge",
},
limit: {
properties: {
pct: {
type: "float",
},
},
},
node: {
properties: {
pct: {
type: "float",
},
},
},
},
},
workingset: {
properties: {
bytes: {
type: "long",
time_series_metric: "gauge",
},
},
},
},
},
name: {
type: "keyword",
},
start_time: {
type: "date",
},
},
},
host: {
type: "keyword",
time_series_dimension: true,
},
namespace: {
type: "keyword",
time_series_dimension: true,
},
node: {
type: "keyword",
time_series_dimension: true,
},
pod: {
type: "keyword",
time_series_dimension: true,
},
},
},
},
},
},
});
console.log(response); PUT _index_template/datastream_template
{
"index_patterns": [
"datastream*"
],
"data_stream": {},
"template": {
"settings": {
"index": {
"mode": "time_series",
"number_of_replicas": 0,
"number_of_shards": 2
},
"index.lifecycle.name": "datastream_policy"
},
"mappings": {
"properties": {
"@timestamp": {
"type": "date"
},
"kubernetes": {
"properties": {
"container": {
"properties": {
"cpu": {
"properties": {
"usage": {
"properties": {
"core": {
"properties": {
"ns": {
"type": "long"
}
}
},
"limit": {
"properties": {
"pct": {
"type": "float"
}
}
},
"nanocores": {
"type": "long",
"time_series_metric": "gauge"
},
"node": {
"properties": {
"pct": {
"type": "float"
}
}
}
}
}
}
},
"memory": {
"properties": {
"available": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
}
}
},
"majorpagefaults": {
"type": "long"
},
"pagefaults": {
"type": "long",
"time_series_metric": "gauge"
},
"rss": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
}
}
},
"usage": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
},
"limit": {
"properties": {
"pct": {
"type": "float"
}
}
},
"node": {
"properties": {
"pct": {
"type": "float"
}
}
}
}
},
"workingset": {
"properties": {
"bytes": {
"type": "long",
"time_series_metric": "gauge"
}
}
}
}
},
"name": {
"type": "keyword"
},
"start_time": {
"type": "date"
}
}
},
"host": {
"type": "keyword",
"time_series_dimension": true
},
"namespace": {
"type": "keyword",
"time_series_dimension": true
},
"node": {
"type": "keyword",
"time_series_dimension": true
},
"pod": {
"type": "keyword",
"time_series_dimension": true
}
}
}
}
}
}
} Загрузка данных временных рядов
Используйте запрос API массовой загрузки для автоматического создания вашего TSDS и загрузки набора из десяти документов.
Важно: Перед запуском этого запроса массовой загрузки вам необходимо обновить временные метки в пределах трех-пяти часов после текущего времени. То есть, найдите 2022-06-21T15 и замените его своей текущей датой, а также скорректируйте час до текущего времени плюс три часа.
resp = client.bulk(
index="datastream",
refresh=True,
operations=[
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:49:00Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 91153,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 463314616
},
"usage": {
"bytes": 307007078,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 585236
},
"rss": {
"bytes": 102728
},
"pagefaults": 120901,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:45:50Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 124501,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 982546514
},
"usage": {
"bytes": 360035574,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 1339884
},
"rss": {
"bytes": 381174
},
"pagefaults": 178473,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:44:50Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 38907,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 862723768
},
"usage": {
"bytes": 379572388,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 431227
},
"rss": {
"bytes": 386580
},
"pagefaults": 233166,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:44:40Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 86706,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 567160996
},
"usage": {
"bytes": 103266017,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 1724908
},
"rss": {
"bytes": 105431
},
"pagefaults": 233166,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:44:00Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 150069,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 639054643
},
"usage": {
"bytes": 265142477,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 1786511
},
"rss": {
"bytes": 189235
},
"pagefaults": 138172,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:42:40Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 82260,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 854735585
},
"usage": {
"bytes": 309798052,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 924058
},
"rss": {
"bytes": 110838
},
"pagefaults": 259073,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:42:10Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 153404,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 279586406
},
"usage": {
"bytes": 214904955,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 1047265
},
"rss": {
"bytes": 91914
},
"pagefaults": 302252,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:40:20Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 125613,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 822782853
},
"usage": {
"bytes": 100475044,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 2109932
},
"rss": {
"bytes": 278446
},
"pagefaults": 74843,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:40:10Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 100046,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 567160996
},
"usage": {
"bytes": 362826547,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 1986724
},
"rss": {
"bytes": 402801
},
"pagefaults": 296495,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
},
{
"create": {}
},
{
"@timestamp": "2022-06-21T15:38:30Z",
"kubernetes": {
"host": "gke-apps-0",
"node": "gke-apps-0-0",
"pod": "gke-apps-0-0-0",
"container": {
"cpu": {
"usage": {
"nanocores": 40018,
"core": {
"ns": 12828317850
},
"node": {
"pct": 0.0000277905
},
"limit": {
"pct": 0.0000277905
}
}
},
"memory": {
"available": {
"bytes": 1062428344
},
"usage": {
"bytes": 265142477,
"node": {
"pct": 0.01770037710617187
},
"limit": {
"pct": 0.00009923134671484496
}
},
"workingset": {
"bytes": 2294743
},
"rss": {
"bytes": 340623
},
"pagefaults": 224530,
"majorpagefaults": 0
},
"start_time": "2021-03-30T07:59:06Z",
"name": "container-name-44"
},
"namespace": "namespace26"
}
}
],
)
print(resp) response = client.bulk(
index: 'datastream',
refresh: true,
body: [
{
create: {}
},
{
"@timestamp": '2022-06-21T15:49:00Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 91_153,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 463_314_616
},
usage: {
bytes: 307_007_078,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 585_236
},
rss: {
bytes: 102_728
},
pagefaults: 120_901,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:45:50Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 124_501,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 982_546_514
},
usage: {
bytes: 360_035_574,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 1_339_884
},
rss: {
bytes: 381_174
},
pagefaults: 178_473,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:44:50Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 38_907,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 862_723_768
},
usage: {
bytes: 379_572_388,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 431_227
},
rss: {
bytes: 386_580
},
pagefaults: 233_166,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:44:40Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 86_706,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 567_160_996
},
usage: {
bytes: 103_266_017,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 1_724_908
},
rss: {
bytes: 105_431
},
pagefaults: 233_166,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:44:00Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 150_069,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 639_054_643
},
usage: {
bytes: 265_142_477,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 1_786_511
},
rss: {
bytes: 189_235
},
pagefaults: 138_172,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:42:40Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 82_260,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 854_735_585
},
usage: {
bytes: 309_798_052,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 924_058
},
rss: {
bytes: 110_838
},
pagefaults: 259_073,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:42:10Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 153_404,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 279_586_406
},
usage: {
bytes: 214_904_955,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 1_047_265
},
rss: {
bytes: 91_914
},
pagefaults: 302_252,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:40:20Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 125_613,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 822_782_853
},
usage: {
bytes: 100_475_044,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 2_109_932
},
rss: {
bytes: 278_446
},
pagefaults: 74_843,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:40:10Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 100_046,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 567_160_996
},
usage: {
bytes: 362_826_547,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 1_986_724
},
rss: {
bytes: 402_801
},
pagefaults: 296_495,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
},
{
create: {}
},
{
"@timestamp": '2022-06-21T15:38:30Z',
kubernetes: {
host: 'gke-apps-0',
node: 'gke-apps-0-0',
pod: 'gke-apps-0-0-0',
container: {
cpu: {
usage: {
nanocores: 40_018,
core: {
ns: 12_828_317_850
},
node: {
pct: 2.77905e-05
},
limit: {
pct: 2.77905e-05
}
}
},
memory: {
available: {
bytes: 1_062_428_344
},
usage: {
bytes: 265_142_477,
node: {
pct: 0.01770037710617187
},
limit: {
pct: 9.923134671484496e-05
}
},
workingset: {
bytes: 2_294_743
},
rss: {
bytes: 340_623
},
pagefaults: 224_530,
majorpagefaults: 0
},
start_time: '2021-03-30T07:59:06Z',
name: 'container-name-44'
},
namespace: 'namespace26'
}
}
]
)
puts response const response = await client.bulk({
index: "datastream",
refresh: "true",
operations: [
{
create: {},
},
{
"@timestamp": "2022-06-21T15:49:00Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 91153,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 463314616,
},
usage: {
bytes: 307007078,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 585236,
},
rss: {
bytes: 102728,
},
pagefaults: 120901,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:45:50Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 124501,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 982546514,
},
usage: {
bytes: 360035574,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 1339884,
},
rss: {
bytes: 381174,
},
pagefaults: 178473,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:44:50Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 38907,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 862723768,
},
usage: {
bytes: 379572388,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 431227,
},
rss: {
bytes: 386580,
},
pagefaults: 233166,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:44:40Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 86706,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 567160996,
},
usage: {
bytes: 103266017,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 1724908,
},
rss: {
bytes: 105431,
},
pagefaults: 233166,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:44:00Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 150069,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 639054643,
},
usage: {
bytes: 265142477,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 1786511,
},
rss: {
bytes: 189235,
},
pagefaults: 138172,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:42:40Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 82260,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 854735585,
},
usage: {
bytes: 309798052,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 924058,
},
rss: {
bytes: 110838,
},
pagefaults: 259073,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:42:10Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 153404,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 279586406,
},
usage: {
bytes: 214904955,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 1047265,
},
rss: {
bytes: 91914,
},
pagefaults: 302252,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:40:20Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 125613,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 822782853,
},
usage: {
bytes: 100475044,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 2109932,
},
rss: {
bytes: 278446,
},
pagefaults: 74843,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:40:10Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 100046,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 567160996,
},
usage: {
bytes: 362826547,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 1986724,
},
rss: {
bytes: 402801,
},
pagefaults: 296495,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
{
create: {},
},
{
"@timestamp": "2022-06-21T15:38:30Z",
kubernetes: {
host: "gke-apps-0",
node: "gke-apps-0-0",
pod: "gke-apps-0-0-0",
container: {
cpu: {
usage: {
nanocores: 40018,
core: {
ns: 12828317850,
},
node: {
pct: 0.0000277905,
},
limit: {
pct: 0.0000277905,
},
},
},
memory: {
available: {
bytes: 1062428344,
},
usage: {
bytes: 265142477,
node: {
pct: 0.01770037710617187,
},
limit: {
pct: 0.00009923134671484496,
},
},
workingset: {
bytes: 2294743,
},
rss: {
bytes: 340623,
},
pagefaults: 224530,
majorpagefaults: 0,
},
start_time: "2021-03-30T07:59:06Z",
name: "container-name-44",
},
namespace: "namespace26",
},
},
],
});
console.log(response); PUT /datastream/_bulk?refresh
{"create": {}}
{"@timestamp":"2022-06-21T15:49:00Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":91153,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":463314616},"usage":{"bytes":307007078,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":585236},"rss":{"bytes":102728},"pagefaults":120901,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:45:50Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":124501,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":982546514},"usage":{"bytes":360035574,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":1339884},"rss":{"bytes":381174},"pagefaults":178473,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:44:50Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":38907,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":862723768},"usage":{"bytes":379572388,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":431227},"rss":{"bytes":386580},"pagefaults":233166,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:44:40Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":86706,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":567160996},"usage":{"bytes":103266017,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":1724908},"rss":{"bytes":105431},"pagefaults":233166,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:44:00Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":150069,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":639054643},"usage":{"bytes":265142477,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":1786511},"rss":{"bytes":189235},"pagefaults":138172,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:42:40Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":82260,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":854735585},"usage":{"bytes":309798052,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":924058},"rss":{"bytes":110838},"pagefaults":259073,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:42:10Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":153404,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":279586406},"usage":{"bytes":214904955,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":1047265},"rss":{"bytes":91914},"pagefaults":302252,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:40:20Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":125613,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":822782853},"usage":{"bytes":100475044,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":2109932},"rss":{"bytes":278446},"pagefaults":74843,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:40:10Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":100046,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":567160996},"usage":{"bytes":362826547,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":1986724},"rss":{"bytes":402801},"pagefaults":296495,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}}
{"create": {}}
{"@timestamp":"2022-06-21T15:38:30Z","kubernetes":{"host":"gke-apps-0","node":"gke-apps-0-0","pod":"gke-apps-0-0-0","container":{"cpu":{"usage":{"nanocores":40018,"core":{"ns":12828317850},"node":{"pct":2.77905e-05},"limit":{"pct":2.77905e-05}}},"memory":{"available":{"bytes":1062428344},"usage":{"bytes":265142477,"node":{"pct":0.01770037710617187},"limit":{"pct":9.923134671484496e-05}},"workingset":{"bytes":2294743},"rss":{"bytes":340623},"pagefaults":224530,"majorpagefaults":0},"start_time":"2021-03-30T07:59:06Z","name":"container-name-44"},"namespace":"namespace26"}} Просмотр результатов
После создания и добавления документов в поток данных проверьте текущее состояние нового индекса.
resp = client.indices.get_data_stream() print(resp)
response = client.indices.get_data_stream puts response
const response = await client.indices.getDataStream(); console.log(response);
GET _data_stream
Если политика ILM еще не применена, ваши результаты будут аналогичны следующим. Обратите внимание на исходный index_name: .ds-datastream-<timestamp>-000001.
{
"data_streams": [
{
"name": "datastream",
"timestamp_field": {
"name": "@timestamp"
},
"indices": [
{
"index_name": ".ds-datastream-2022.08.26-000001",
"index_uuid": "5g-3HrfETga-5EFKBM6R-w"
},
{
"index_name": ".ds-datastream-2022.08.26-000002",
"index_uuid": "o0yRTdhWSo2pY8XMvfwy7Q"
}
],
"generation": 2,
"status": "GREEN",
"template": "datastream_template",
"ilm_policy": "datastream_policy",
"hidden": false,
"system": false,
"allow_custom_routing": false,
"replicated": false,
"rollover_on_write": false,
"time_series": {
"temporal_ranges": [
{
"start": "2022-08-26T13:29:07.000Z",
"end": "2022-08-26T19:29:07.000Z"
}
]
}
}
]
} Далее выполните запрос поиска:
resp = client.search(
index="datastream",
)
print(resp) response = client.search( index: 'datastream' ) puts response
const response = await client.search({
index: "datastream",
});
console.log(response); GET datastream/_search
Запрос возвращает ваши десять добавленных документов.
{
"took": 17,
"timed_out": false,
"_shards": {
"total": 4,
"successful": 4,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 10,
"relation": "eq"
},
... По умолчанию управление жизненным циклом индексов проверяет каждые десять минут индексы, которые соответствуют критериям политики. Подождите около десяти минут (возможно, приготовьте себе кофе или чай ☕ ), а затем снова запустите запрос GET _data_stream.
resp = client.indices.get_data_stream() print(resp)
response = client.indices.get_data_stream puts response
const response = await client.indices.getDataStream(); console.log(response);
GET _data_stream
После активации политики ILM исходный индекс .ds-datastream-2022.08.26-000001 заменяется новым, сжатым индексом, в данном случае downsample-6tkn-.ds-datastream-2022.08.26-000001.
{
"data_streams": [
{
"name": "datastream",
"timestamp_field": {
"name": "@timestamp"
},
"indices": [
{
"index_name": "downsample-6tkn-.ds-datastream-2022.08.26-000001",
"index_uuid": "qRane1fQQDCNgKQhXmTIvg"
},
{
"index_name": ".ds-datastream-2022.08.26-000002",
"index_uuid": "o0yRTdhWSo2pY8XMvfwy7Q"
}
],
... Выполните запрос поиска в потоке данных (обратите внимание, что при запросе к сжатым индексам есть несколько нюансов, которые нужно учитывать).
resp = client.search(
index="datastream",
)
print(resp) response = client.search( index: 'datastream' ) puts response
const response = await client.search({
index: "datastream",
});
console.log(response); GET datastream/_search
Новый сжатый индекс содержит всего один документ, который включает в себя статистические данные min, max, sum и value_count на основе исходных выборочных метрик.
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 4,
"successful": 4,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1,
"hits": [
{
"_index": "downsample-6tkn-.ds-datastream-2022.08.26-000001",
"_id": "0eL0wC_4-45SnTNFAAABgtpz0wA",
"_score": 1,
"_source": {
"@timestamp": "2022-08-26T14:00:00.000Z",
"_doc_count": 10,
"kubernetes.host": "gke-apps-0",
"kubernetes.namespace": "namespace26",
"kubernetes.node": "gke-apps-0-0",
"kubernetes.pod": "gke-apps-0-0-0",
"kubernetes.container.cpu.usage.nanocores": {
"min": 38907,
"max": 153404,
"sum": 992677,
"value_count": 10
},
"kubernetes.container.memory.available.bytes": {
"min": 279586406,
"max": 1062428344,
"sum": 7101494721,
"value_count": 10
},
"kubernetes.container.memory.pagefaults": {
"min": 74843,
"max": 302252,
"sum": 2061071,
"value_count": 10
},
"kubernetes.container.memory.rss.bytes": {
"min": 91914,
"max": 402801,
"sum": 2389770,
"value_count": 10
},
"kubernetes.container.memory.usage.bytes": {
"min": 100475044,
"max": 379572388,
"sum": 2668170609,
"value_count": 10
},
"kubernetes.container.memory.workingset.bytes": {
"min": 431227,
"max": 2294743,
"sum": 14230488,
"value_count": 10
},
"kubernetes.container.cpu.usage.core.ns": 12828317850,
"kubernetes.container.cpu.usage.limit.pct": 0.000027790500098490156,
"kubernetes.container.cpu.usage.node.pct": 0.000027790500098490156,
"kubernetes.container.memory.majorpagefaults": 0,
"kubernetes.container.memory.usage.limit.pct": 0.00009923134348355234,
"kubernetes.container.memory.usage.node.pct": 0.017700377851724625,
"kubernetes.container.name": "container-name-44",
"kubernetes.container.start_time": "2021-03-30T07:59:06.000Z"
}
}
]
}
} Используйте API статистики потока данных для получения статистики по потоку данных, включая размер хранилища.
resp = client.indices.data_streams_stats(
name="datastream",
human=True,
)
print(resp) response = client.indices.data_streams_stats( name: 'datastream', human: true ) puts response
const response = await client.indices.dataStreamsStats({
name: "datastream",
human: "true",
});
console.log(response); GET /_data_stream/datastream/_stats?human=true
{
"_shards": {
"total": 4,
"successful": 4,
"failed": 0
},
"data_stream_count": 1,
"backing_indices": 2,
"total_store_size": "16.6kb",
"total_store_size_bytes": 17059,
"data_streams": [
{
"data_stream": "datastream",
"backing_indices": 2,
"store_size": "16.6kb",
"store_size_bytes": 17059,
"maximum_timestamp": 1661522400000
}
]
} Этот пример демонстрирует, как работает сжатие данных в рамках политики ILM для уменьшения размера хранилища данных метрик по мере их устаревания и менее частой запросов.
Вы также можете попробовать наш пример выполнения сжатия данных вручную, чтобы узнать, как сжатие данных может работать вне политики ILM.
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https://www.elastic.co/guide/en/elasticsearch/reference/8.17/downsampling-ilm.html
