This test is likely to kill the server in the middle of writing logs. This means that we can end up with logs with partially written json log lines and standard json parsers would fail on this.
This fix is to use regular expressions on json logs.(just like the previous approach on plain text logs)
closes#43413
* Replace usages RandomizedTestingTask with built-in Gradle Test (#40978)
This commit replaces the existing RandomizedTestingTask and supporting code with Gradle's built-in JUnit support via the Test task type. Additionally, the previous workaround to disable all tasks named "test" and create new unit testing tasks named "unitTest" has been removed such that the "test" task now runs unit tests as per the normal Gradle Java plugin conventions.
(cherry picked from commit 323f312bbc829a63056a79ebe45adced5099f6e6)
* Fix forking JVM runner
* Don't bump shadow plugin version
In order to support JSON log format, a custom pattern layout was used and its configuration is enclosed in ESJsonLayout. Users are free to use their own patterns, but if smooth Beats integration is needed, they should use ESJsonLayout. EvilLoggerTests are left intact to make sure user's custom log patterns work fine.
To populate additional fields node.id and cluster.uuid which are not available at start time,
a cluster state update will have to be received and the values passed to log4j pattern converter.
A ClusterStateObserver.Listener is used to receive only one ClusteStateUpdate. Once update is received the nodeId and clusterUUid are set in a static field in a NodeAndClusterIdConverter.
Following fields are expected in JSON log lines: type, tiemstamp, level, component, cluster.name, node.name, node.id, cluster.uuid, message, stacktrace
see ESJsonLayout.java for more details and field descriptions
Docker log4j2 configuration is now almost the same as the one use for ES binary.
The only difference is that docker is using console appenders, whereas ES is using file appenders.
relates: #32850
In our Netty layer we have had to take extra precautions against Netty
catching throwables which prevents them from reaching the uncaught
exception handler. This code has taken on additional uses in NIO layer
and now in the scheduler engine because there are other components in
stack traces that could catch throwables and suppress them from reaching
the uncaught exception handler. This commit is a simple cleanup of the
iterative evolution of this code to refactor all uses into a single
method in ExceptionsHelper.
In #29623 we added `Request` object flavored requests to the low level
REST client and in #30315 we deprecated the the old requests. This
changes many calls in the `qa` projects to use the new version.
I did a little digging. It looks like IOException is thrown when the other
side closes its connection while we're waiting on our buffer to fill up. We
totally expect that in this test. It feels to me like we should throw a
`ConnectionClosedException` but upstream does not agree:
https://issues.apache.org/jira/browse/HTTPASYNC-134
While we *could* catch the exception and transform it ourselves that
seems like a bigger change than is merited at this point.
Closes#29136
I have long wanted an actual test that dying with dignity works. It is
tricky because if dying with dignity works, it means the test JVM dies
which is usually an abnormal condition. And anyway, how does one force a
fatal error to be thrown. I was motivated to investigate this again by
the fact that I missed a backport to one branch leading to an issue
where Elasticsearch would not successfully die with dignity. And now we
have a solution: we install a plugin that throws an out of memory error
when it receives a request. We hack the standalone test infrastructure
to prevent this from failing the test. To do this, we bypass the
security manager and remove the PID file for the node; this tricks the
test infrastructure into thinking that it does not need to stop the
node. We also bypass seccomp so that we can fork jps to make sure that
Elasticsearch really died. And to be extra paranoid, we parse the logs
of the dead Elasticsearch process to make sure it died with
dignity. Never forget.