Plugin automatic test framework
The plugin test framework is designed to verify the function and compatibility of plugins. As there are dozens of plugins and hundreds of versions that need to be verified, it is impossible to do it manually. The test framework uses container-based tech stack and requires a set of real services with the agents installed. Then, the test mock OAP backend runs to check the segments data sent from agents.
Every plugin maintained in the main repo requires corresponding test cases as well as matching versions in the supported list doc.
Environment Requirements
- MacOS/Linux
- JDK 8+
- Docker
- Docker Compose
Case Base Image Introduction
The test framework provides JVM-container
and Tomcat-container
base images including JDK8 and JDK17. You can choose the best one for your test case. If both are suitable for your case, JVM-container
is preferred.
JVM-container Image Introduction
JVM-container uses eclipse-temurin:8-jdk
as the base image. JVM-container
supports JDK8 and JDK17 as well in CI, which inherits eclipse-temurin:8-jdk
and eclipse-temurin:17-jdk
.
It is supported to custom the base Java docker image by specify base_image_java
.
The test case project must be packaged as project-name.zip
, including startup.sh
and uber jar, by using mvn clean package
.
Take the following test projects as examples:
- sofarpc-scenario is a single project case.
- webflux-scenario is a case including multiple projects.
- jdk17-with-gson-scenario is a single project case with JDK17.
Tomcat-container Image Introduction
Tomcat-container uses tomcat:8.5-jdk8-openjdk
, tomcat:8.5-jdk17-openjdk
as the base image.
It is supported to custom the base Tomcat docker image by specify base_image_tomcat
.
The test case project must be packaged as project-name.war
by using mvn package
.
Take the following test project as an example
Test project hierarchical structure
The test case is an independent maven project, and it must be packaged as a war tar ball or zip file, depending on the chosen base image. Also, two external accessible endpoints usually two URLs) are required.
All test case codes should be in the org.apache.skywalking.apm.testcase.*
package. If there are some codes expected to be instrumented, then the classes could be in the test.org.apache.skywalking.apm.testcase.*
package.
JVM-container test project hierarchical structure
[plugin-scenario]
|- [bin]
|- startup.sh
|- [config]
|- expectedData.yaml
|- [src]
|- [main]
|- ...
|- [resource]
|- log4j2.xml
|- pom.xml
|- configuration.yml
|- support-version.list
[] = directory
Tomcat-container test project hierarchical structure
[plugin-scenario]
|- [config]
|- expectedData.yaml
|- [src]
|- [main]
|- ...
|- [resource]
|- log4j2.xml
|- [webapp]
|- [WEB-INF]
|- web.xml
|- pom.xml
|- configuration.yml
|- support-version.list
[] = directory
Test case configuration files
The following files are required in every test case.
File Name | Descriptions |
---|---|
configuration.yml |
Declare the basic case information, including case name, entrance endpoints, mode, and dependencies. |
expectedData.yaml |
Describe the expected segmentItems, meterItems or logItems. |
support-version.list |
List the target versions for this case. |
startup.sh |
JVM-container only. This is not required when using Tomcat-container . |
*
support-version.list format requires every line for a single version (contains only the last version number of each minor version). You may use #
to comment out this version.
configuration.yml
Field | description |
---|---|
type | Image type, options, jvm , or tomcat . Required. |
entryService | The entrance endpoint (URL) for test case access. Required. (HTTP Method: GET) |
healthCheck | The health check endpoint (URL) for test case access. Required. (HTTP Method: HEAD) |
startScript | Path of the start up script. Required in type: jvm only. |
runningMode | Running mode with the optional plugin, options, default (default), with_optional , or with_bootstrap . |
withPlugins | Plugin selector rule, e.g.:apm-spring-annotation-plugin-*.jar . Required for runningMode=with_optional or runningMode=with_bootstrap . |
environment | Same as docker-compose#environment and also used as docker run environment variables. |
depends_on | Same as docker-compose#depends_on . |
dependencies | Same as docker-compose#services , image , links , hostname , command , environment and depends_on are supported. |
Note:, docker-compose
activates only when dependencies
is blank.
runningMode option description.
Option | description |
---|---|
default | Activate all plugins in plugin folder like the official distribution agent. |
with_optional | Activate default and plugins in optional-plugin by the give selector. |
with_bootstrap | Activate default and plugins in bootstrap-plugin by the give selector. |
with_optional/with_bootstrap supports multiple selectors, separated by ;
.
File Format
type:
entryService:
healthCheck:
startScript:
runningMode:
withPlugins:
environment:
...
depends_on:
...
dependencies:
service1:
image:
hostname:
expose:
...
environment:
...
depends_on:
...
links:
...
entrypoint:
...
healthcheck:
...
- dependencies support docker compose
healthcheck
. But the format is a little different. We need to have-
as the start of every config item, and describe it as a string line.
For example, in the official document, the health check is:
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost"]
interval: 1m30s
timeout: 10s
retries: 3
start_period: 40s
Here you should write:
healthcheck:
- 'test: ["CMD", "curl", "-f", "http://localhost"]'
- "interval: 1m30s"
- "timeout: 10s"
- "retries: 3"
- "start_period: 40s"
In some cases, the dependency service (usually a third-party server like the SolrJ server) is required to keep the same version
as the client lib version, which is defined as ${test.framework.version}
in pom. You may use ${CASE_SERVER_IMAGE_VERSION}
as the version number, which will be changed in the test for each version.
It does not support resource related configurations, such as volumes, ports, and ulimits. The reason for this is that in test scenarios, no mapping is required for any port to the host VM, or to mount any folder.
Take the following test cases as examples:
- dubbo-2.7.x with JVM-container
- jetty with JVM-container
- gateway with runningMode
- canal with docker-compose
expectedData.yaml
Operator for number
Operator | Description |
---|---|
nq |
Not equal |
eq |
Equal(default) |
ge |
Greater than or equal |
gt |
Greater than |
Operator for String
Operator | Description |
---|---|
not null |
Not null |
not blank |
Not blank ,it’s recommended for String type field as the default value maybe blank string, such as span tags |
null |
Null or empty String |
eq |
Equal(default) |
start with |
Tests if this string starts with the specified prefix. DO NOT use it with meterItem tags value |
end with |
Tests if this string ends with the specified suffix. DO NOT use it with meterItem tags value |
Expected Data Format Of The Segment
segmentItems:
- serviceName: SERVICE_NAME(string)
segmentSize: SEGMENT_SIZE(int)
segments:
- segmentId: SEGMENT_ID(string)
spans:
...
Field | Description |
---|---|
serviceName | Service Name. |
segmentSize | The number of segments is expected. |
segmentId | Trace ID. |
spans | Segment span list. In the next section, you will learn how to describe each span. |
Expected Data Format Of The Span
Note: The order of span list should follow the order of the span finish time.
operationName: OPERATION_NAME(string)
parentSpanId: PARENT_SPAN_ID(int)
spanId: SPAN_ID(int)
startTime: START_TIME(int)
endTime: END_TIME(int)
isError: IS_ERROR(string: true, false)
spanLayer: SPAN_LAYER(string: DB, RPC_FRAMEWORK, HTTP, MQ, CACHE)
spanType: SPAN_TYPE(string: Exit, Entry, Local)
componentId: COMPONENT_ID(int)
tags:
- {key: TAG_KEY(string), value: TAG_VALUE(string)}
...
logs:
- {key: LOG_KEY(string), value: LOG_VALUE(string)}
...
peer: PEER(string)
refs:
- {
traceId: TRACE_ID(string),
parentTraceSegmentId: PARENT_TRACE_SEGMENT_ID(string),
parentSpanId: PARENT_SPAN_ID(int),
parentService: PARENT_SERVICE(string),
parentServiceInstance: PARENT_SERVICE_INSTANCE(string),
parentEndpoint: PARENT_ENDPOINT_NAME(string),
networkAddress: NETWORK_ADDRESS(string),
refType: REF_TYPE(string: CrossProcess, CrossThread)
}
...
Field | Description |
---|---|
operationName | Span Operation Name. |
parentSpanId | Parent span ID. Note: The parent span ID of the first span should be -1. |
spanId | Span ID. Note: Start from 0. |
startTime | Span start time. It is impossible to get the accurate time, not 0 should be enough. |
endTime | Span finish time. It is impossible to get the accurate time, not 0 should be enough. |
isError | Span status, true or false. |
componentId | Component id for your plugin. |
tags | Span tag list. Notice, Keep in the same order as the plugin coded. |
logs | Span log list. Notice, Keep in the same order as the plugin coded. |
SpanLayer | Options, DB, RPC_FRAMEWORK, HTTP, MQ, CACHE. |
SpanType | Span type, options, Exit, Entry or Local. |
peer | Remote network address, IP + port mostly. For exit span, this should be required. |
The verify description for SegmentRef
Field | Description |
---|---|
traceId | |
parentTraceSegmentId | Parent SegmentId, pointing to the segment id in the parent segment. |
parentSpanId | Parent SpanID, pointing to the span id in the parent segment. |
parentService | The service of parent/downstream service name. |
parentServiceInstance | The instance of parent/downstream service instance name. |
parentEndpoint | The endpoint of parent/downstream service. |
networkAddress | The peer value of parent exit span. |
refType | Ref type, options, CrossProcess or CrossThread. |
Expected Data Format Of The Meter Items
meterItems:
- serviceName: SERVICE_NAME(string)
meterSize: METER_SIZE(int)
meters:
- ...
Field | Description |
---|---|
serviceName | Service Name. |
meterSize | The number of meters is expected. |
meters | meter list. Follow the next section to see how to describe every meter. |
Expected Data Format Of The Meter
meterId:
name: NAME(string)
tags:
- {name: TAG_NAME(string), value: TAG_VALUE(string)}
singleValue: SINGLE_VALUE(double)
histogramBuckets:
- HISTOGRAM_BUCKET(double)
...
The verify description for MeterId
Field | Description |
---|---|
name | meter name. |
tags | meter tags. |
tags.name | tag name. |
tags.value | tag value. |
singleValue | counter or gauge value. Using condition operate of the number to validate, such as gt , ge . If current meter is histogram, don’t need to write this field. |
histogramBuckets | histogram bucket. The bucket list must be ordered. The tool assert at least one bucket of the histogram having nonzero count. If current meter is counter or gauge, don’t need to write this field. |
Expected Data Format Of The Log Items
logItems:
- serviceName: SERVICE_NAME(string)
logSize: LOG_SIZE(int)
logs:
- ...
Field | Description |
---|---|
serviceName | Service Name. |
logSize | The number of logs is expected. |
logs | log list. Follow the next section to see how to describe every log. |
Expected Data Format Of The Log
timestamp: TIMESTAMP_VALUE(int)
endpoint: ENDPOINT_VALUE(int)
traceContext:
traceId: TRACE_ID_VALUE(string)
traceSegmentId: TRACE_SEGMENT_ID_VALUE(string)
spanId: SPAN_ID_VALUE(int)
body:
type: TYPE_VALUE(string)
content: # Choose one of three (text, json or yaml)
text: TEXT_VALUE(string)
# json: JSON_VALUE(string)
# yaml: YAML_VALUE(string)
tags:
data:
- key: TAG_KEY(string)
value: TAG_VALUE(string)
...
layer: LAYER_VALUE(string)
...
The verify description for Log
Field | Description |
---|---|
timestamp | log timestamp. |
endpoint | log endpoint. |
traceContext.traceId | log associated trace id. |
traceContext.traceSegmentId | log associated trace segment id. |
traceContext.spanId | log associated span id. |
body.type | log body type. |
body.content | log content, the sub field choose one of three (text, json or yaml). |
tags.data | log tags, key value pairs. |
layer | log layer. |
startup.sh
This script provide a start point to JVM based service, most of them starts by a java -jar
, with some variables.
The following system environment variables are available in the shell.
Variable | Description |
---|---|
agent_opts | Agent plugin opts, check the detail in plugin doc or the same opt added in this PR. |
SCENARIO_NAME | Service name. Default same as the case folder name |
SCENARIO_VERSION | Version |
SCENARIO_ENTRY_SERVICE | Entrance URL to access this service |
SCENARIO_HEALTH_CHECK_URL | Health check URL |
${agent_opts}
is required to add into yourjava -jar
command, which including the parameter injected by test framework, and make agent installed. All other parameters should be added after${agent_opts}
.
The test framework will set the service name as the test case folder name by default, but in some cases, there are more than one test projects are required to run in different service codes, could set it explicitly like the following example.
Example
home="$(cd "$(dirname $0)"; pwd)"
java -jar ${agent_opts} "-Dskywalking.agent.service_name=jettyserver-scenario" ${home}/../libs/jettyserver-scenario.jar &
sleep 1
java -jar ${agent_opts} "-Dskywalking.agent.service_name=jettyclient-scenario" ${home}/../libs/jettyclient-scenario.jar &
Only set this or use other skywalking options when it is really necessary.
Take the following test cases as examples
Best Practices
How To Use The Archetype To Create A Test Case Project
We provided archetypes and a script to make creating a project easier. It creates a completed project of a test case. So that we only need to focus on cases. First, we can use followed command to get usage about the script.
bash ${SKYWALKING_HOME}/test/plugin/generator.sh
Then, runs and generates a project, named by scenario_name
, in ./scenarios
.
Recommendations for pom
<properties>
<!-- Provide and use this property in the pom. -->
<!-- This version should match the library version, -->
<!-- in this case, http components lib version 4.3. -->
<test.framework.version>4.3</test.framework.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>${test.framework.version}</version>
</dependency>
...
</dependencies>
<build>
<!-- Set the package final name as same as the test case folder case. -->
<finalName>httpclient-4.3.x-scenario</finalName>
....
</build>
How To Implement Heartbeat Service
Heartbeat service is designed for checking the service available status. This service is a simple HTTP service, returning 200 means the target service is ready. Then the traffic generator will access the entry service and verify the expected data. User should consider to use this service to detect such as whether the dependent services are ready, especially when dependent services are database or cluster.
Notice, because heartbeat service could be traced fully or partially, so, segmentSize in expectedData.yaml
should use ge
as the operator,
and don’t include the segments of heartbeat service in the expected segment data.
The example Process of Writing Tracing Expected Data
Expected data file, expectedData.yaml
, include SegmentItems
part.
We are using the HttpClient plugin to show how to write the expected data.
There are two key points of testing
- Whether is HttpClient span created.
- Whether the ContextCarrier created correctly, and propagates across processes.
+-------------+ +------------------+ +-------------------------+
| Browser | | Case Servlet | | ContextPropagateServlet |
| | | | | |
+-----|-------+ +---------|--------+ +------------|------------+
| | |
| | |
| WebHttp +-+ |
+------------------------> |-| HttpClient +-+
| |--------------------------------> |-|
| |-| |-|
| |-| |-|
| |-| <--------------------------------|
| |-| +-+
| <--------------------------| |
| +-+ |
| | |
| | |
| | |
| | |
+ + +
segmentItems
By following the flow of HttpClient case, there should be two segments created.
- Segment represents the CaseServlet access. Let’s name it as
SegmentA
. - Segment represents the ContextPropagateServlet access. Let’s name it as
SegmentB
.
segmentItems:
- serviceName: httpclient-case
segmentSize: ge 2 # Could have more than one health check segments, because, the dependency is not standby.
Because Tomcat plugin is a default plugin of SkyWalking, so, in SegmentA, there are two spans
- Tomcat entry span
- HttpClient exit span
SegmentA span list should like following
- segmentId: not null
spans:
- operationName: /httpclient-case/case/context-propagate
parentSpanId: 0
spanId: 1
startTime: nq 0
endTime: nq 0
isError: false
spanLayer: Http
spanType: Exit
componentId: eq 2
tags:
- {key: url, value: 'http://127.0.0.1:8080/httpclient-case/case/context-propagate'}
- {key: http.method, value: GET}
- {key: http.status_code, value: '200'}
logs: []
peer: 127.0.0.1:8080
- operationName: /httpclient-case/case/httpclient
parentSpanId: -1
spanId: 0
startTime: nq 0
endTime: nq 0
spanLayer: Http
isError: false
spanType: Entry
componentId: 1
tags:
- {key: url, value: 'http://localhost:{SERVER_OUTPUT_PORT}/httpclient-case/case/httpclient'}
- {key: http.method, value: GET}
- {key: http.status_code, value: '200'}
logs: []
peer: null
SegmentB should only have one Tomcat entry span, but includes the Ref pointing to SegmentA.
SegmentB span list should like following
- segmentId: not null
spans:
-
operationName: /httpclient-case/case/context-propagate
parentSpanId: -1
spanId: 0
tags:
- {key: url, value: 'http://127.0.0.1:8080/httpclient-case/case/context-propagate'}
- {key: http.method, value: GET}
- {key: http.status_code, value: '200'}
logs: []
startTime: nq 0
endTime: nq 0
spanLayer: Http
isError: false
spanType: Entry
componentId: 1
peer: null
refs:
- {parentEndpoint: /httpclient-case/case/httpclient, networkAddress: 'localhost:8080', refType: CrossProcess, parentSpanId: 1, parentTraceSegmentId: not null, parentServiceInstance: not null, parentService: not null, traceId: not null}
The example Process of Writing Meter Expected Data
Expected data file, expectedData.yaml
, include MeterItems
part.
We are using the toolkit plugin to demonstrate how to write the expected data. When write the meter plugin, the expected data file keeps the same.
There is one key point of testing
- Build a meter and operate it.
Such as Counter
:
MeterFactory.counter("test_counter").tag("ck1", "cv1").build().increment(1d);
MeterFactory.histogram("test_histogram").tag("hk1", "hv1").steps(1d, 5d, 10d).build().addValue(2d);
+-------------+ +------------------+
| Plugin | | Agent core |
| | | |
+-----|-------+ +---------|--------+
| |
| |
| Build or operate +-+
+------------------------> |-|
| |-]
| |-|
| |-|
| |-|
| |-|
| <--------------------------|
| +-+
| |
| |
| |
| |
+ +
meterItems
By following the flow of the toolkit case, there should be two meters created.
- Meter
test_counter
created fromMeterFactory#counter
. Let’s name it asMeterA
. - Meter
test_histogram
created fromMeterFactory#histogram
. Let’s name it asMeterB
.
meterItems:
- serviceName: toolkit-case
meterSize: 2
They’re showing two kinds of meter, MeterA has a single value, MeterB has a histogram value.
MeterA should like following, counter
and gauge
use the same data format.
- meterId:
name: test_counter
tags:
- {name: ck1, value: cv1}
singleValue: gt 0
MeterB should like following.
- meterId:
name: test_histogram
tags:
- {name: hk1, value: hv1}
histogramBuckets:
- 0.0
- 1.0
- 5.0
- 10.0
Local Test and Pull Request To The Upstream
First of all, the test case project could be compiled successfully, with right project structure and be able to deploy. The developer should test the start script could run in Linux/MacOS, and entryService/health services are able to provide the response.
You could run test by using following commands
cd ${SKYWALKING_HOME}
bash ./test/plugin/run.sh -f ${scenario_name}
Notice,if codes in ./apm-sniffer
have been changed, no matter because your change or git update,
please recompile the skywalking-agent
. Because the test framework will use the existing skywalking-agent
folder,
rather than recompiling it every time.
Use ${SKYWALKING_HOME}/test/plugin/run.sh -h
to know more command options.
If the local test passed, then you could add it to .github/workflows/plugins-test.<n>.yaml
file, which will drive the tests running on the GitHub Actions of official SkyWalking repository.
Based on your plugin’s name, please add the test case into file .github/workflows/plugins-test.<n>.yaml
, by alphabetical orders.
Every test case is a GitHub Actions Job. Please use the scenario directory name as the case name
,
mostly you’ll just need to decide which file (plugins-test.<n>.yaml
) to add your test case, and simply put one line (as follows) in it, take the existed cases as examples.
You can run python3 tools/select-group.py
to see which file contains the least cases and add your cases into it, in order to balance the running time of each group.
If a test case required to run in JDK 17 environment, please add you test case into file plugins-jdk17-test.<n>.yaml
.
If a test case required to run in JDK 21 environment, please add you test case into file plugins-jdk21-test.<n>.yaml
.
jobs:
PluginsTest:
name: Plugin
runs-on: ubuntu-latest
timeout-minutes: 90
strategy:
fail-fast: true
matrix:
case:
# ...
- <your scenario test directory name>
# ...