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= Tracing
:javaFile: {javaCodeDir}/Tracing.java
WARNING: This feature is experimental.
A number of APIs in Ignite are instrumented for tracing with OpenCensus.
You can collect distributed traces of various tasks executed in your cluster and use this information to diagnose latency problems.
We suggest you get familiar with OpenCensus tracing documentation before reading this chapter: https://opencensus.io/tracing/[^].
The following Ignite APIs are instrumented for tracing:
* Discovery
* Communication
* Exchange
* Transactions
To view traces, you must export them into an external system.
You can use one of the OpenCensus exporters or write your own, but in any case, you will have to write code that registers an exporter in Ignite.
Refer to <<Exporting Traces>> for details.
== Configuring Tracing
Enable OpenCensus tracing in the node configuration. All nodes in the cluster must use the same tracing configuration.
[tabs]
--
tab:XML[]
[source, xml]
----
include::code-snippets/xml/tracing.xml[tags=ignite-config;!discovery, indent=0]
----
tab:Java[]
[source, java]
----
include::{javaFile}[tags=config, indent=0]
----
tab:C#/.NET[]
tab:C++[unsupported]
--
== Enabling Trace Sampling
When you start your cluster with the above configuration, Ignite does not collect traces.
You have to enable trace sampling for a specific API at runtime.
You can turn trace sampling on and off at will, for example, only for the period when you are troubleshooting a problem.
You can do this in two ways:
* via the control script from the command line
* programmatically
Traces are collected at a given probabilistic sampling rate.
The rate is specified as a value between 0.0 and 1.0 inclusive: `0` means no sampling, `1` means always sampling.
When the sampling rate is set to a value greater than 0, Ignite collects traces.
To disable trace collection, set the sampling rate to 0.
The following sections describe the two ways of enabling trace sampling.
=== Using Control Script
Go to the `{IGNITE_HOME}/bin` directory of your Ignite installation.
Enable experimental commands in the control script:
[source, shell]
----
export IGNITE_ENABLE_EXPERIMENTAL_COMMAND=true
----
Enable tracing for a specific API:
[source, shell]
----
./control.sh --tracing-configuration set --scope TX --sampling-rate 1
----
Refer to the link:control-script#tracing-configuration[Control Script] sections for the list of all parameters.
=== Programmatically
Once you start the node, you can enable trace sampling as follows:
[source, java]
----
include::{javaFile}[tags=enable-sampling, indent=0]
----
The `--scope` parameter specifies the API you want to trace.
The following APIs are instrumented for tracing:
* `DISCOVERY` discovery events
* `EXCHANGE` exchange events
* `COMMUNICATION` communication events
* `TX` transactions
The `--sampling-rate` is the probabilistic sampling rate, a number between `0` and `1`:
* `0` means no sampling,
* `1` means always sampling.
== Exporting Traces
To view traces, you need to export them to an external backend using one of the available exporters.
OpenCensus supports a number of exporters out-of-the-box, and you can write a custom one.
Refer to the link:https://opencensus.io/exporters/[OpenCensus Exporters^] for details.
In this section, we will show how to export traces to link:https://zipkin.io[Zipkin^].
. Follow link:https://zipkin.io/pages/quickstart.html[this guide^] to launch Zipkin on your machine.
. Register `ZipkinTraceExporter` in the application where you start Ignite:
+
--
[source, java]
----
include::{javaFile}[tags=export-to-zipkin, indent=0]
----
--
. Open http://localhost:9411/zipkin[^] in your browser and click the search icon.
+
--
This is what a trace of the transaction looks like:
image::images/trace_in_zipkin.png[]
--
== Analyzing Trace Data
A trace is recorded information about the execution of a specific event.
Each trace consists of a tree of _spans_.
A span is an individual unit of work performed by the system in order to process the event.
Because of the distributed nature of Ignite, an operation usually involves multiple nodes.
Therefore, a trace can include spans from multiple nodes.
Each span always contains the information about the node where the corresponding operation was executed.
In the image of the transaction trace presented above, you can see that the trace contains the spans associated with the following operations:
* acquire locks (`transactions.colocated.lock.map`),
* get (`transactions.near.enlist.read`),
* put (`transactions.near.enlist.write`),
* commit (`transactions.commit`), and
* close (`transactions.close`).
The commit operation, in turn, consists of two operations: prepare and finish.
You can click on each span to view the annotations and tags attached to it.
image::images/span.png[Span]
////
TODO: describe annotations and tags
=== Annotations
=== Tags
The `node.id` and `node.consistentId` are the ID and consistent ID of the node where the root operation started.
////