Related discussion #7257Resolves#3413Resolves#5059Resolves#6258Resolves#7179
Adds a logging implementation that'll collect agent logs in memory until
slf4j is detected in the instrumented application; and when that happens
will dump all the logs into the application slf4j and log directly to
the application logger from that time on.
It's still in a POC state, unfortunately: while it works fine with an
app that uses & initializes slf4j directly, Spring Boot applications
actually reconfigure the logging implementation (e.g. logback) a while
after slf4j is loaded; which causes all the startup agent logs (debug
included) to be dumped with the default logback pattern.
Future work:
* ~~Make sure all logs produces by the agent are sent to loggers named
`io.opentelemetry...`
(https://github.com/open-telemetry/opentelemetry-java-instrumentation/pull/7446)~~
DONE
* Make this work on Spring Boot
* Documentation
* Smoke test?
This PR allows:
* Executing the OTel Logback appender tests as GraalVM native
executables
* Executing the native tests once a day on Github
---------
Co-authored-by: Trask Stalnaker <trask.stalnaker@gmail.com>
Bumps com.gradle.enterprise from 3.12.5 to 3.12.6.
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Bumps com.gradle.enterprise from 3.12.4 to 3.12.5.
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- use standard messaging span name
- replace `message.type` with experimental attribute
`messaging.pulsar.message.type`, `message.type` is from rpc semantic
conventions
- replace `net.sock.peer.addr` that was filled with broker url with
`net.peer.name` and `net.peer.port`
It follows the
[issue](https://github.com/open-telemetry/opentelemetry-java-instrumentation/issues/6395#issue-1323561263)
I opened some days ago.
The `executeReactive` method use the same processor used by
`executeAsync` (see
[here](65d2c19c40/core/src/main/java/com/datastax/dse/driver/internal/core/cql/reactive/CqlRequestReactiveProcessor.java (L53)))
and wrap the callback in the `DefaultReactiveResultSet` publisher.
Here I'm simply overriding the `executeReactive` method doing the same
thing: call the already instrumented `executeAsync` method and wrapping
the callback using the `DefaultReactiveResultSet` publisher.
~~I did an upgrade of the `java-driver-core` library to have
`TracingCqlSession.java` extending the `ReactiveSession`. I have to
probably rename the `cassandra-4.0` module in `cassandra-4.14` but I'll
let you confirm this.~~ -> Cassandra-4.4 is enough.
---------
Co-authored-by: Trask Stalnaker <trask.stalnaker@gmail.com>
Bumps io.github.gradle-nexus.publish-plugin from 1.2.0 to 1.3.0.
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Resolves
https://github.com/open-telemetry/opentelemetry-java-instrumentation/issues/7436
* Created new Module `spring-webflux-5.3` which contains only
server-side library instrumentation
* Minimum supported version is 5.3 because there are various problems in
older versions of reactor and webflux that prevent a few of the tests
from passing.
* Moved existing `spring-webflux-5.0` (webclient instrumentation) into a
common `spring-webflux` folder next to the 5.3 (server) instrumentation.
Moved the README to the parent folder so the docs are cohesive between
client/server instrumentation.
* Implemented `WebFilter` which instruments the server-side
* Depends on the `reactor-3.1` instrumentation to pass the context
around. Registers the react hook when it creates the `WebFilter`
* Tests using the standard HTTP server test suite
---------
Co-authored-by: Trask Stalnaker <trask.stalnaker@gmail.com>
Co-authored-by: Mateusz Rzeszutek <mrzeszutek@splunk.com>
Bumps org.jetbrains.kotlin.jvm from 1.7.22 to 1.8.10.
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Bumps com.gradle.common-custom-user-data-gradle-plugin from 1.8.2 to
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Bumps com.gradle.enterprise from 3.12.2 to 3.12.4.
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> Java toolchain auto-provisioning enabled, but no java toolchain
repositories declared by the build. Will rely on the built-in
repository. This behaviour has been deprecated and is scheduled to be
removed in Gradle 8.0. In order to declare a repository for java
toolchains, you must edit your settings script and add one via the
toolchainManagement block. See
https://docs.gradle.org/7.6.1/userguide/toolchains.html#sec:provisioning
for more details.
The sample at linked page mentions `repository("adoptium")` which looks
like what we would like to use, but apparently this is just a sample how
configuration might look like, `AdoptiumResolver` doesn't really exist.
The one that exists is https://github.com/gradle/foojay-toolchains
This PR resolves#7629
This adds javaagent instrumentation for the
[jodd-http](https://http.jodd.org/) `HttpRequest`.
It creates `Http Client Spans` and `Http Client Metrics`, the lowest
supported version is `org.jodd:jodd-http:4.2.0` (most recent: `6.3.0`),
since this is the first version of the library supporting java 8, having
follow-redirect capability and `HttpRequest#overwriteHeader()` method.
The instrumented method's signature and return type `HttpRequest#send()`
has not been modified since, and therefore the instrumentation works for
all `jodd-http` versions above `4.2.0`.
Since this is my first contribution/instrumentation, I orientated myself
on the `apache-httpclient-5.0` instrumentation, but obviously I would be
glad to get some feedback on this
---------
Co-authored-by: Mateusz Rzeszutek <mrzeszutek@splunk.com>
Bumps com.github.ben-manes.versions from 0.45.0 to 0.46.0.
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Hi,
I copied existing JSF 1.2-2 instrumentation, updated dependencies and
namespaces related to JSF 3+.
I don't work with Mojjara implementation, but copied by analogy and
verified that package names are unchanged.
I named new packages by anology with `servlet` packages, but I use
`jsf-jakarta-common` when in servlet we have `servlet-javax-common`.
My idea was to avoid touching existing packages, but perhaps to keep
consistency, I can rename old `jsf-common` to `jsf-javax-common`.
Tested with Tomcat and my app, it's working fine with JSF 4 :)
Fix#7729
This PR adopts Azure SDK tracing API changes from the latest release
(azure-core 1.36.0, azure-core-tracing-opentelemetry 1.0.0-beta.32)
The API changes are not breaking (1.19 instrumentation is still
compatible), but the new instrumentation is slightly more performant and
supports new features. We are also going to break compatibility with
1.19 instrumentation at some point (in 6-12 months).
We now have 3 versions for azure-sdk. We still have about 10% of users
on versions [1.14-1.19), but it's declining and I'll be happy to remove
1.14 in the next few months if this trend continues.
---------
Co-authored-by: Trask Stalnaker <trask.stalnaker@gmail.com>
There were so many changes in the tests that extracting a base class
wouldn't really improve the readability; so I just reimplemented them in
Java.
The instrumentation itself is pretty much a copy-paste of the `jms-1.1`
instrumentation, with `s/javax/jakarta/` applied.
Bumps com.gradle.enterprise from 3.12.1 to 3.12.2.
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Bumps com.gradle.enterprise from 3.11.4 to 3.12.2.
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This reverts commit 516938e2a4.
Turns out CodeQL cannot work with Kotlin 1.8 (because it is too new 🙈 ):
```
> Task :instrumentation:ktor:ktor-common:library:compileKotlin FAILED
e: com.semmle.extractor.java.interceptors.KotlinInterceptor$KotlinVersionTooRecentError: Kotlin version 1.8.0 is too recent. CodeQL currently supports versions below 1.7.30
at com.semmle.extractor.java.interceptors.KotlinInterceptor.getExtractorJarPath(KotlinInterceptor.java:148)
at com.semmle.extractor.java.interceptors.KotlinInterceptor.beforeKotlinExecute(KotlinInterceptor.java:398)
```
Resolves#7487Resolves#7491Resolves#7492Resolves#7493
Bumps org.jetbrains.kotlin.jvm from 1.7.22 to 1.8.0.
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Lauri Tulmin
dependabot[bot]
Dmytro Iaroslavskyi
Mateusz Rzeszutek
Trask Stalnaker
Jean Bisutti
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Simone Giusso
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Oleh Astappiev
OpenTelemetry Bot
Liudmila Molkova
