chetanmeh commented on a change in pull request #4348: Fixes the issue of
failing to read empty Splunk JSON objects
URL:
https://github.com/apache/incubator-openwhisk/pull/4348#discussion_r265847634
##########
File path:
common/scala/src/main/scala/org/apache/openwhisk/core/containerpool/logging/SplunkLogStore.scala
##########
@@ -137,10 +137,17 @@ class SplunkLogStore(
ActivationLogs(
r.results
.map(l =>
- //format same as
org.apache.openwhisk.core.containerpool.logging.LogLine.toFormattedString
-
f"${l.fields(splunkConfig.logTimestampField).convertTo[String]}%-30s ${l
- .fields(splunkConfig.logStreamField)
- .convertTo[String]}:
${l.fields(splunkConfig.logMessageField).convertTo[String].trim}"))
+ try {
Review comment:
Instead of using simple try...catch you can use [Scala Try][1]. This ensures
that you do not eat up fatal exception and also handle the failure case in bit
more functional way!
```suggestion
r.results
.map(js => Try(toLogLine(js)))
.map {
case Success(s) => s
case Failure(t) =>
logging.debug(
this,
s"The log message might have been too large " +
s"for '${splunkConfig.index}' Splunk index and
can't be retrieved, ${t.getMessage}")
s"The log message can't be retrieved, ${t.getMessage}"
})
```
[1]:
https://danielwestheide.com/blog/2012/12/26/the-neophytes-guide-to-scala-part-6-error-handling-with-try.html
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