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dmelikyandmelikyan
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add metadata support
1 parent 495e242 commit 4e635aa

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‎README.md‎

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@@ -9,7 +9,7 @@ StackImpact is a production-grade performance profiler built for both production
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#### Features
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* Continuous hot spot profiling for CPU usage, memory allocation, async calls.
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* Continuous hot spot profiling of CPU usage, memory allocation and async calls.
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* Continuous latency bottleneck tracing.
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* Error and exception monitoring.
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* Health monitoring including CPU, memory, garbage collection and other runtime metrics.
@@ -21,7 +21,7 @@ Learn more on the [features](https://stackimpact.com/features/) page (with scree
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#### How it works
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The StackImpact profiler agent is imported into a program and used as a normal package. When the program runs, various sampling profilers are started and stopped automatically by the agent and/or programmatically using the agent methods. The agent periodically reports recorded profiles and metrics to the StackImpact Dashboard. If an application has multiple processes, also referred to as workers, instances or nodes, only one or two processes will have active agents at any point of time. The agent can also operate in manual mode, which should be used in development only.
24+
The StackImpact profiler agent is imported into a program and used as a normal package. When the program runs, various sampling profilers are started and stopped automatically by the agent and/or programmatically using the agent methods. The agent periodically reports recorded profiles and metrics to the StackImpact Dashboard. If an application has multiple processes, also referred to as workers, instances or nodes, only one process will have an active agent at any point of time. The agent can also operate in manual mode, which should be used in development only.
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#### Documentation
@@ -155,4 +155,4 @@ To enable debug logging, add `debug: true` to startup options. If the debug log
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## Overhead
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The agent overhead is measured to be less than 1% for applications under high load. For applications that are horizontally scaled to multiple processes, StackImpact agents are only active on a small subset of the processes at any point of time, therefore the total overhead is much lower.
158+
The agent overhead is measured to be less than 1% for applications under high load. For applications that are horizontally scaled to multiple processes, StackImpact agent is only active on one of the processes at any point of time, therefore the total overhead is much lower.

‎abi-map.json‎

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@@ -1 +1 @@
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{"v4.0.0":"46","v4.1.0":"46","v4.1.1":"46","v4.1.2":"46","v4.2.0":"46","v4.2.1":"46","v4.2.2":"46","v4.2.3":"46","v4.2.4":"46","v4.2.5":"46","v4.2.6":"46","v4.3.0":"46","v4.3.1":"46","v4.3.2":"46","v4.4.0":"46","v4.4.1":"46","v4.4.2":"46","v4.4.3":"46","v4.4.4":"46","v4.4.5":"46","v4.4.6":"46","v4.4.7":"46","v4.5.0":"46","v4.6.0":"46","v4.6.1":"46","v4.6.2":"46","v4.7.0":"46","v4.7.1":"46","v4.7.2":"46","v4.7.3":"46","v4.8.0":"46","v4.8.1":"46","v4.8.2":"46","v4.8.3":"46","v4.8.4":"46","v5.0.0":"47","v5.1.0":"47","v5.1.1":"47","v5.10.0":"47","v5.10.1":"47","v5.11.0":"47","v5.11.1":"47","v5.12.0":"47","v5.2.0":"47","v5.3.0":"47","v5.4.0":"47","v5.4.1":"47","v5.5.0":"47","v5.6.0":"47","v5.7.0":"47","v5.7.1":"47","v5.8.0":"47","v5.9.0":"47","v5.9.1":"47","v6.0.0":"48","v6.1.0":"48","v6.10.0":"48","v6.10.1":"48","v6.10.2":"48","v6.10.3":"48","v6.11.0":"48","v6.11.1":"48","v6.11.2":"48","v6.2.0":"48","v6.2.1":"48","v6.2.2":"48","v6.3.0":"48","v6.3.1":"48","v6.4.0":"48","v6.5.0":"48","v6.6.0":"48","v6.7.0":"48","v6.8.0":"48","v6.8.1":"48","v6.9.0":"48","v6.9.1":"48","v6.9.2":"48","v6.9.3":"48","v6.9.4":"48","v6.9.5":"48","v7.0.0":"51","v7.1.0":"51","v7.10.0":"51","v7.10.1":"51","v7.2.0":"51","v7.2.1":"51","v7.3.0":"51","v7.4.0":"51","v7.5.0":"51","v7.6.0":"51","v7.7.1":"51","v7.7.2":"51","v7.7.3":"51","v7.7.4":"51","v7.8.0":"51","v7.9.0":"51","v8.0.0":"57","v8.1.0":"57","v8.1.1":"57","v8.1.2":"57","v8.1.3":"57","v8.1.4":"57","v8.2.0":"57","v8.2.1":"57","v8.3.0":"57","v8.4.0":"57","v8.5.0":"57","v8.6.0":"57","v8.7.0":"57","v8.8.0":"57","v8.8.1":"57","v8.9.0":"57","v8.9.1":"57","v8.9.2":"57","v8.9.3":"57","v8.9.4":"57","v8.10.0":"57","v8.11.0":"57","v8.11.1":"57","v9.0.0":"59","v9.1.0":"59","v9.2.0":"59","v9.2.1":"59","v9.3.0":"59","v9.4.0":"59","v9.5.0":"59","v9.6.0":"59","v9.6.1":"59","v9.7.0":"59","v9.7.1":"59","v9.8.0":"59","v9.9.0":"59","v9.10.0":"59","v9.10.1":"59","v9.11.0":"59","v9.11.1":"59"}
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{"v4.0.0":"46","v4.1.0":"46","v4.1.1":"46","v4.1.2":"46","v4.2.0":"46","v4.2.1":"46","v4.2.2":"46","v4.2.3":"46","v4.2.4":"46","v4.2.5":"46","v4.2.6":"46","v4.3.0":"46","v4.3.1":"46","v4.3.2":"46","v4.4.0":"46","v4.4.1":"46","v4.4.2":"46","v4.4.3":"46","v4.4.4":"46","v4.4.5":"46","v4.4.6":"46","v4.4.7":"46","v4.5.0":"46","v4.6.0":"46","v4.6.1":"46","v4.6.2":"46","v4.7.0":"46","v4.7.1":"46","v4.7.2":"46","v4.7.3":"46","v4.8.0":"46","v4.8.1":"46","v4.8.2":"46","v4.8.3":"46","v4.8.4":"46","v5.0.0":"47","v5.1.0":"47","v5.1.1":"47","v5.10.0":"47","v5.10.1":"47","v5.11.0":"47","v5.11.1":"47","v5.12.0":"47","v5.2.0":"47","v5.3.0":"47","v5.4.0":"47","v5.4.1":"47","v5.5.0":"47","v5.6.0":"47","v5.7.0":"47","v5.7.1":"47","v5.8.0":"47","v5.9.0":"47","v5.9.1":"47","v6.0.0":"48","v6.1.0":"48","v6.10.0":"48","v6.10.1":"48","v6.10.2":"48","v6.10.3":"48","v6.11.0":"48","v6.11.1":"48","v6.11.2":"48","v6.2.0":"48","v6.2.1":"48","v6.2.2":"48","v6.3.0":"48","v6.3.1":"48","v6.4.0":"48","v6.5.0":"48","v6.6.0":"48","v6.7.0":"48","v6.8.0":"48","v6.8.1":"48","v6.9.0":"48","v6.9.1":"48","v6.9.2":"48","v6.9.3":"48","v6.9.4":"48","v6.9.5":"48","v7.0.0":"51","v7.1.0":"51","v7.10.0":"51","v7.10.1":"51","v7.2.0":"51","v7.2.1":"51","v7.3.0":"51","v7.4.0":"51","v7.5.0":"51","v7.6.0":"51","v7.7.1":"51","v7.7.2":"51","v7.7.3":"51","v7.7.4":"51","v7.8.0":"51","v7.9.0":"51","v8.0.0":"57","v8.1.0":"57","v8.1.1":"57","v8.1.2":"57","v8.1.3":"57","v8.1.4":"57","v8.2.0":"57","v8.2.1":"57","v8.3.0":"57","v8.4.0":"57","v8.5.0":"57","v8.6.0":"57","v8.7.0":"57","v8.8.0":"57","v8.8.1":"57","v8.9.0":"57","v8.9.1":"57","v8.9.2":"57","v8.9.3":"57","v8.9.4":"57","v8.10.0":"57","v8.11.0":"57","v8.11.1":"57","v9.0.0":"59","v9.1.0":"59","v9.2.0":"59","v9.2.1":"59","v9.3.0":"59","v9.4.0":"59","v9.5.0":"59","v9.6.0":"59","v9.6.1":"59","v9.7.0":"59","v9.7.1":"59","v9.8.0":"59","v9.9.0":"59","v9.10.0":"59","v9.10.1":"59","v9.11.0":"59","v9.11.1":"59","v10.0.0":"64","v10.1.0":"64"}

‎addons/darwin-x64/stackimpact-addon-v64.node‎

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‎addons/linux-x64/stackimpact-addon-v64.node‎

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‎addons/win32-x64/stackimpact-addon-v64.node‎

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‎build-addons.js‎

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@@ -142,7 +142,9 @@ const versions= [
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"v9.10.0",
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"v9.10.1",
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"v9.11.0",
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"v9.11.1"
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"v9.11.1",
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"v10.0.0",
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"v10.1.0"
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];
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‎lib/metric.js‎

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'use strict';
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const c = {
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const metricConstants = {
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TYPE_STATE: 'state',
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TYPE_COUNTER: 'counter',
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TYPE_PROFILE: 'profile',
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TRIGGER_API: 'api'
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};
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const RESERVOIR_SIZE = 1000;
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class Metric {
4746
constructor(agent, typ, category, name, unit) {
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let self = this;
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self.agent = agent;
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self.id = agent.utils.generateSha1(`${agent.getOption('appName')}${agent.getOption('appEnvironment')}${agent.getOption('hostName')}${typ}${name}${category}${unit}`);
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self.typ = typ;
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self.type = typ;
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self.category = category;
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self.name = name;
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self.unit = unit;
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static get c() {
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return metricConstants;
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let ready = true;
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if (self.typ === c.TYPE_COUNTER) {
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if (self.type === Metric.c.TYPE_COUNTER) {
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let metricJson = {
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type: self.typ,
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type: self.type,
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category: self.category,
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name: self.name,
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unit: self.unit,
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exports.Measurement = Measurement;
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const breakdownConstants = {
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TYPE_CALLGRAPH: 'callgraph',
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TYPE_DEVICE: 'device',
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TYPE_CALLSITE: 'callsite',
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TYPE_OPERATION: 'operation',
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TYPE_ERROR: 'error'
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};
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const RESERVOIR_SIZE = 1000;
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class Breakdown {
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constructor(agent, name) {
182+
constructor(agent, name, typ) {
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self.agent = agent;
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self.name = name;
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self.type = typ;
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self.metadata = new Map();
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static get c() {
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}
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toJson() {
184203
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let metadataJson = {};
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for (let key of self.metadata.keys()) {
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metadataJson[key] = self.metadata.get(key);
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}
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let breakdownJson = {
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type: self.type,
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metadata: metadataJson,
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measurement: self.measurement,
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num_samples: self.numSamples,
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children: childrenJson,
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children: childrenJson
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setType(typ) {
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self.type = typ;
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}
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addMetadata(key, value) {
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self.metadata.set(key, value);
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}
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getMetadata(key) {
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let self = this;
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return self.metadata.get(key);
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}
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findChild(name) {
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‎lib/profilers/allocation_profiler.js‎

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reset() {
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self.profile = new Breakdown(self.agent, 'root');
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self.profile = new Breakdown(self.agent, 'Allocation call graph', Breakdown.c.TYPE_CALLGRAPH);
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83+
child.setType(Breakdown.c.TYPE_CALLSITE);
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child.measurement += node.size;
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‎lib/profilers/async_profiler.js‎

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134134
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self.asyncProfile = new Breakdown(self.agent, 'root');
137-
self.asyncTrace = new Breakdown(self.agent, 'root');
136+
self.asyncProfile = new Breakdown(self.agent, 'Async call graph', Breakdown.c.TYPE_CALLGRAPH);
137+
self.asyncTrace = new Breakdown(self.agent, 'Async call graph', Breakdown.c.TYPE_CALLGRAPH);
138138
self.profileDuration = 0;
139139
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140140

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202202
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203203
frames = frames.reverse();
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205+
205206
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206207
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207208
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208209
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210+
node.setType(Breakdown.c.TYPE_CALLSITE);
211+
}
212+
if (sample.type) {
213+
node.addMetadata('Resource', sample.type);
209214
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216221
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217222
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223+
node.setType(Breakdown.c.TYPE_CALLSITE);
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}
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226+
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node.updateP95(sample.time);

‎lib/profilers/cpu_profiler.js‎

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self.profile = new Breakdown(self.agent, 'root');
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self.profile = new Breakdown(self.agent, 'CPU call graph', Breakdown.c.TYPE_CALLGRAPH);
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self.profileSamples = 0;
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}
3737

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child.setType(Breakdown.c.TYPE_CALLSITE);
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child.numSamples += node.hit_count;
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