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Metric Module
- In this project, we provide interface and two implementations
- metrics-interface
- dropwizard metric
- micrometer metric
- In each implementation, you can use several types of reporter to report metric
- Jmx Reporter
- Prometheus Reporter
- IoTDB Reporter
- [1. Design](#1-design)
- [2. Test Report](#2-test-report)
- [2.1. Test Environment](#21-test-environment)
- [2.2. Test Metrics](#22-test-metrics)
- [2.3. Test parameters](#23-test-parameters)
- [2.4. Test Result](#24-test-result)
- [3. How to use?](#3-how-to-use)
- [3.1. Configuration](#31-configuration)
- [3.2. Use Guide in IoTDB Server Module](#32-use-guide-in-iotdb-server-module)
- [4. How to implement your own metric framework?](#4-how-to-implement-your-own-metric-framework)
- [5. Some docs](#5-some-docs)
# 1. Design
> The acquisition system consists of following four parts.
1. Metrics:Provide tools for collecting metric in different scenarios, including Counter, Gauge, Histogram, Timer and Rate, each with tags.
2. MetricManager
1. Provide functions such as create, query, update and remove metrics.
2. Provide its own start and stop methods.
3. CompositeReporter
1. Provide management of reporter.
2. Provide metric value to other systems, such as Jmx, Prometheus, IoTDB, etc.
3. Provide its own start and stop methods.
4. MetricService
1. Provide the start and stop method of metric service.
2. Provide the ability to reload properties when running.
3. Provide the ability to load metric sets.
4. Provide the access of metricManager and CompositeReporter.
# 2. Test Report
We implemented the monitoring framework using Dropwizard and Micrometer respectively, and tested the results as follows:
## 2.1. Test Environment
1. Processor:Inter(R) Core(TM) i7-1065G7 CPU
2. RAM: 32G
## 2.2. Test Metrics
1. We use a single thread to create counter and run the test cases separately in two frameworks of Micrometer and Dropwizard. The test metrics as follows:
1. memory : Memory usage in MB.
2. create : The time required to create, in ms.
3. searchInorder : The time required for the sequential query, in ms.
4. searchDisorder : The time required for random queries in ms.
## 2.3. Test parameters
1. metric : test metric
2. name : The name of the test metric, unify to one length.
3. tag : The tag of the test metric, unify to one length.
4. metricNumberTotal:The number of metrics tested.
5. tagSingleNumber:Number of tags of the test metric.
6. tagTotalNumber:The number of tag pools, the default is 1000, all
7. tags are taken out of the tag pool.
8. searchNumber:The number of queries, the default is 1000000.
9. loop:The number of query loops, the default is 10.
## 2.4. Test Result
![](https://cwiki.apache.org/confluence/download/attachments/184617400/image2021-7-14_16-32-55.png?version=1&modificationDate=1626403814000&api=v2)
# 3. How to use?
## 3.1. Configuration
1. firstly, you need to set up some system property, for example:
```
System.setProperty("line.separator", "\n");
System.setProperty("IOTDB_CONF", "metrics/dropwizard-metrics/src/test/resources");
```
2. Then, you can modify `iotdb-datanode.properties(iotdb-confignode.properties)` as you like, some details:
| properties | meaning | example |
|----------------------------------------| -------------------------------------------------------------------------------------- | ----------------------------------- |
| dn(cn)_enable_metric | whether enable the module | true |
| dn(cn)_enable_performance_stat | Is stat performance of operation latency | true |
| dn(cn)_metric_reporter_list | the list of reporter | JMX, PROMETHEUS, IOTDB |
| dn(cn)_metric_frame_type | The type of metric manager | DROPWIZARD, MICROMETER |
| dn(cn)_metric_level | the init level of metrics | ALL, NORMAL, IMPORTANT, CORE |
| dn(cn)_metric_async_collect_period | The period of the collection of some metrics in asynchronous way, such as tsfile size. | 5 |
3. More details, see User Doc.
## 3.2. Use Guide in IoTDB Server Module
1. Now, MetricService is registered as IService in server and confignode module, you can simple set properties: `dn(cn)_enable_metric=true` to use metric service.
2. In server module you can easily use these metric by `MetricService.getInstance()`, for example:
```java
MetricService.getInstance().count(1, "operation_count", MetricLevel.IMPORTANT, "name", operation.getName());
```
# 4. How to implement your own metric framework?
1. implement your MetricService
1. You need to implement `reloadProperties` to reload properties when running.
2. implement your MetricManager
1. The name of MetricManager should start with `metricFrameType`, MetricService will init manager according to the prefix of class name.
2. You need to create `src/main/resources/META-INF/services/org.apache.iotdb.metrics.AbstractMetricManager`,and record your MetricManager class name in this file, such as `org.apache.iotdb.metrics.dropwizard.DropwizardMetricManager`
3. implement your reporter
1. You need to implement jmx reporter and prometheus reporter, notice that your jmx bean name should be unified as `org.apache.iotdb.metrics`
2. The name of your reporter should also start with `metricFrameType`
3. You need to create `src/main/resources/META-INF/services/org.apache.iotdb.metrics.Reporter`,and record your MetricManager class name in this file, such as `org.apache.iotdb.metrics.dropwizard.reporter.DropwizardPrometheusReporter`
4. implement your specific metric
1. They are counter, gauge, histogram, histogramSnapshot, rate and timer.
2. These metrics will be managed by your MetricManager, and reported by your reporter.
# 5. Some docs
1. <a href = "https://iotdb.apache.org/UserGuide/Master/Maintenance-Tools/Metric-Tool.html">Metric Tool</a>
2. <a href = "https://iotdb.apache.org/zh/UserGuide/Master/Maintenance-Tools/Metric-Tool.html">Metric Tool(zh)</a>