chanjarster

{
  "__inputs": [],
  "__requires": [
    {
      "type": "grafana",
      "id": "grafana",
      "name": "Grafana",
      "version": "5.2.4"
    },
    {

chanjarster

{
  "__inputs": [],
  "__requires": [
    {
      "type": "grafana",
      "id": "grafana",
      "name": "Grafana",
      "version": "5.2.4"
    },
    {

chanjarster

{
  "__inputs": [
    {
      "name": "VAR_JOB",
      "type": "constant",
      "label": "job",
      "value": "java",
      "description": ""
    }
  ],

chanjarster

{
  "__inputs": [
    {
      "name": "VAR_JOB",
      "type": "constant",
      "label": "Job",
      "value": "java",
      "description": ""
    }
  ],

chanjarster

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: tomcat-jmx-non-ssl
  namespace: default
spec:
  selector:
    matchLabels:
      app: tomcat-jmx-non-ssl

chanjarster

#!/bin/bash
docker image ls | grep '<none>' | awk '{print $3}' | xargs -n1 -I{} docker image rm {}

chanjarster

apiVersion: v1
kind: Namespace
metadata:
  name: istio-test
  labels:
    istio-injection: enabled
---
apiVersion: v1
kind: Service
metadata:

chanjarster

apiVersion: v1
kind: Namespace
metadata:
  name: istio-test
  labels:
    istio-injection: enabled
---
apiVersion: v1
kind: Service
metadata:

chanjarster

apiVersion: v1
kind: Namespace
metadata:
  name: istio-test
  labels:
    istio-injection: enabled
---
apiVersion: v1
kind: Service
metadata:

chanjarster

注：本文基于Elasticsearch 6.1.2编写

最近遇到这样一个需求，要通过Elasticsearch将Doc根据A字段降序，然后获得B字段的值，最终根据B字段的值再去做[Pipeline Aggregation][1]。

先尝试了[Max Aggregation][2]，但是Max Aggregation只能获得A字段的最大值。

然后尝试了[Top Hits Aggregation][3]，但是Top Hits Aggregation的结果无法被Pipeline Aggregation使用。

最终尝试[Scripted Metric Aggregation][4]成功。下面举例说明