I have a CDash configured to accept posts for automatic builds and tests. However, when any system attempts to post results to the CDash, the following error is produced. The result is that each result gets posted four times (presumably the original posting attempt plus the three retries).
Can anyone give me a hint as to what sets this mysterious build ID? I found some code that seems to produce a similar error, but still no lead on what might be happening.
Build::GetNumberOfErrors(): BuildId not set
Build::GetNumberOfWarnings(): BuildId not set
Submit failed, waiting 5 seconds...
Retry submission: Attempt 1 of 3
Server Response:
The buildid for CDash is computed based on the site name, the build name and the build stamp of the submission. You should have a Build.xml file in a Testing/20110311-* directory in your build tree. Open that up and see if any of those fields (near the top) is empty. If so, you need to set BUILDNAME and SITE with -D args when configuring with CMake. Or, set CTEST_BUILD_NAME and CTEST_SITE in your ctest -S script.
If that's not it, then this is a mystery. I've not seen this error occur before...
I'm having the same issue though Site and Buildname are available in test.xml and are visible on cdash (4 times). I can see the jobs increment by refreshing between retries so it seems that the submission succeeds and reports a timeout.
Update: This seems to have started when I added the -j(nprocs) switch to the ctest command. changing CtestSubmitRetryDelay: 20 (was 5) allowed a server response through that indicates the cdash version may not be able to handle the multi-proc option I'll have to look into that for my issue. Perhaps setting CtestSubmitRetryDelay to a larger number will get you back a server response as it did for me. g'luck!
Out of range value for column 'processorclockfrequency'
Related
One question as just starting to use karate-gatling: is it possible to aggregate the reports generated? So after multiple runs to get one single report? It would be nice to be able to compare somehow the performance - to get automatically the information if there is a performance degradation or not. What I did try but did not work, was to copy the simulation logs and afterwards only generate the reports ("gatling.bat -ro simulations") but this did not work. The error that I got was:
gatling.bat -ro simulations/catskaratesimulation-1544015145031
GATLING_HOME is set to "D:\AutomationTeam\gatling-charts-highcharts-bundle-3.0.1.1"
JAVA = ""C:\Program Files\Java\jdk1.8.0_131\bin\java.exe""
Parsing log file(s)...
Exception in thread "main" java.lang.NumberFormatException: For input string: "catskaratesimulation"
at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
at java.lang.Long.parseLong(Long.java:589)
at java.lang.Long.parseLong(Long.java:631)
at scala.collection.immutable.StringLike.toLong(StringLike.scala:305)
at scala.collection.immutable.StringLike.toLong$(StringLike.scala:305)
at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
at io.gatling.charts.stats.LogFileReader.$anonfun$firstPass$1(LogFileReader.scala:102)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1425)
at io.gatling.charts.stats.LogFileReader.firstPass(LogFileReader.scala:86)
at io.gatling.charts.stats.LogFileReader.$anonfun$x$4$1(LogFileReader.scala:125)
at io.gatling.charts.stats.LogFileReader.parseInputFiles(LogFileReader.scala:63)
at io.gatling.charts.stats.LogFileReader.(LogFileReader.scala:125)
at io.gatling.app.RunResultProcessor.initLogFileReader(RunResultProcessor.scala:67)
at io.gatling.app.RunResultProcessor.processRunResult(RunResultProcessor.scala:49)
at io.gatling.app.Gatling$.start(Gatling.scala:81)
at io.gatling.app.Gatling$.fromArgs(Gatling.scala:46)
at io.gatling.app.Gatling$.main(Gatling.scala:38)
at io.gatling.app.Gatling.main(Gatling.scala)
Is there another way to do it? Should I somehow reconfigure gatling? Thanks!
It worked when using the same version (2.2.4) via gatling.bat -ro folder_with_simulations.
Just starting with noflo, I'm baffled as why I'm not able to get a simple flow working. I started today, installing noflo and core components following the example pages, and the canonical "Hello World" example
Read(filesystem/ReadFile) OUT -> IN Display(core/Output)
'package.json' -> IN Read
works... so far fine, then I wanted to change it slightly adding "noflo-rss" to the mix, and then changing the example to
Read(rss/FetchFeed) OUT -> IN Display(core/Output)
'http://xkcd.com/rss.xml' -> IN Read
Running like this
$ /node_modules/.bin/noflo-nodejs --graph graphs/rss.fbp --batch --register=false --debug
... but no cigar -- there is no output, it just sits there with no output at all
If I stick a console.log into the sourcecode of FetchFeed.coffee
parser.on 'readable', ->
while item = #read()
console.log 'ITEM', item ## Hack the code here
out.send item
then I do see the output and the content of the RSS feed.
Question: Why does out.send in rss/FetchFeed not feed the data to the core/Output for it to print? What dark magic makes the first example work, but not the second?
When running with --batch the process will exit when the network has stopped, as determined by a non-zero number of open connections between nodes.
The problem is that rss/FetchFeed does not open a connection on its outport, so the connection count drops to zero and the process exists.
One workaround is to run without --batch. Another one I just submitted as a pull request (needs review).
Is it possible to handle exceptions from the test case? I have 2 kinds of failure I want to track: a test failed to run, and a test ran but received the wrong output. If I need to raise an exception to fail my test, how can I distinguish between the two failure types? So say I have the following:
*** Test Cases ***
Case 1
Login 1.2.3.4 user pass
Check Log For this log line
If I can't log in, then the Login Keyword would raise an ExecutionError. If the log file doesn't exist, I would also get an ExecutionError. But if the log file does exist and the line isn't in the log, I should get an OutputError.
I may want to immediately fail the test on an ExecutionError, since it means my test did not run and there is some issue that needs to be fixed in the environment or with the test case. But on an OutputError, I may want to continue the test. It may only refer to a single piece of output and the test may be valuable to continue to check the rest of the output.
How can this be done?
Robot has several keywords for dealing with errors, such as Run keyword and ignore error which can be used to run another keyword that might fail. From the documentation:
This keyword returns two values, so that the first is either string
PASS or FAIL, depending on the status of the executed keyword. The
second value is either the return value of the keyword or the received
error message. See Run Keyword And Return Status If you are only
interested in the execution status.
That being said, it might be easier to write a python-based keyword which calls your Login keyword, since it will be easier to deal with multiple exceptions.
You can use something like this
${err_msg}= Run Keyword And Expect Error * <Your keyword>
Should Not Be Empty ${err_msg}
There are couple of different variations you could try like
Run Keyword And Continue On Failure, Run Keyword And Expect Error, Run Keyword And Ignore Error for the first statement above.
Option for the second statement above are Should Be Equal As Strings, Should Contain, Should Match.
You can explore more on Robot keywords
Using the Java SDK I am creating a load job for just a single record with a fairly complicated schema. When monitoring the status of the load job, it takes a surprisingly long time (but perhaps this is due to working out the schema), but then says:
11:21:06.975 [main] INFO xxx.GoogleBigQuery - Job status (21694ms) create_scans_1384744805079_172221126: DONE
11:24:50.618 [main] ERROR xxx.GoogleBigQuery - Job create_scans_1384744805079_172221126 caused error (invalid) with message
Too many errors encountered. Limit is: 0.
11:24:50.810 [main] ERROR xxx.GoogleBigQuery - {
"message" : "Too many errors encountered. Limit is: 0.",
"reason" : "invalid"
?}
BTW - how do I tell the job that it can have more than zero errors using Java?
This load job does not appear in the list of recent jobs in the console, and as far as I can see, none of the Java objects contains any more details about the actual errors encountered. So how can I pro-grammatically find out what is going wrong? All I can find is:
if (err != null) {
log.error("Job {} caused error ({}) with message\n{}", jobID, err.getReason(), err.getMessage());
try {
log.error(err.toPrettyString());
}
...
In general I am having a difficult time finding good documentation for some of these things and am working it out by trial and error and short snippets of code found on here and older groups. If there is a better source of information than the getting started guides, then I would appreciate any pointers to that information. The Javadoc does not really help and I cannot find any complete examples of loading, querying, testing for errors, cataloging errors and so on.
This job is submitted via a NEWLINE_DELIMITIED_JSON record, supplied to the job via:
InputStream dummy = getClass().getResourceAsStream("/googlebigquery/xxx.record");
final InputStreamContent jsonIn = new InputStreamContent("application/octet-stream", dummy);
createTableJob = bigQuery.jobs().insert(projectId, loadJob, jsonIn).execute();
My authentication and so on seems to work correctly as separate Java code to list the projects, and the datasets in the project all works correctly. So I just need help in working what the actual error is - does it not like the schema (I have records nested within records for instance), or does it think that there is an error in the data I am submitting.
Thanks in advance for any help. The job number cited above is an actual failed load job if that helps any Google staffers who might read this.
It sounds like you have a couple of questions, so I'll try to address them all.
First, the way to get the status of the job that failed is to call jobs().get(jobId), which returns a job object that has an errorResult object that has the error that caused the job to fail (e.g. "too many errors"). The errorStream list is a lost of all of the errors on the job, which should tell you which lines hit errors.
Note if you have the job id, it may be easier to use bq to lookup the job -- you can run bq show <job_id> to get the job error information. If you add the --format=prettyjson it will print out all of the information in the job.
A hint you also might want to consider is to supply your own job id when you create the job -- then even if there is an error starting the job (i.e. the insert() call fails, perhaps due to a network error) you can look up the job to see what actually happened.
To tell BigQuery that some errors are allowed during import, you can use the maxBadResults setting in the load job. See https://developers.google.com/resources/api-libraries/documentation/bigquery/v2/java/latest/com/google/api/services/bigquery/model/JobConfigurationLoad.html#getMaxBadRecords().
I recollect getting log files that were nicely ordered, so that you could follow one request, then the next, and so on.
Now, the log files are, as my 4 year old says "all scroggled up", meaning that they are no longer separate, distinct chunks of text. Loggings from two requests get intertwined/mixed up.
For instance:
Started GET /foobar
...
Completed 200 OK in 2ms (Views: 0.4ms | ActiveRecord: 0.8ms)
Patient Load (wait, that's from another request that has nothing to do with foobar!)
[ blank space ]
Something else
This is maddening, because I can't tell what's happening within one single request.
This is running on Passenger.
I tried to search for the same answer but couldn't find any good info. I'm not sure if you should fix server or rails code.
If you want more info about the issue here is the commit that removed old way of logging https://github.com/rails/rails/commit/04ef93dae6d9cec616973c1110a33894ad4ba6ed
If you value production log readability over everything else you can use the
PassengerMaxInstancesPerApp 1
configuration. It might cause some scaling issues. Alternatively you could stuff something like this in application.rb:
process_log_filename = Rails.root + "log/#{Rails.env}-#{Process.pid}.log"
log_file = File.open(process_log_filename, 'a')
Rails.logger = ActiveSupport::BufferedLogger.new(log_file)
Yep!, they have made some changes in the ActiveSupport::BufferedLogger so it is not any more waiting until the request has ended to flush the logs:
http://news.ycombinator.com/item?id=4483390
https://github.com/rails/rails/commit/04ef93dae6d9cec616973c1110a33894ad4ba6ed
But they have added the ActiveSupport::TaggedLogging which is very funny and you can stamp every log with any kind of mark you want.
In your case could be good to stamp the logs with the request UUID like this:
# config/application.rb
config.log_tags = [:uuid]
Then even if the logs are messed up you still can follow which of them correspond to the request you are following up.
You can make more funny things with this feature to help you in your logs study:
How to log user_name in Rails?
http://zogovic.com/post/21138929607/running-time-in-rails-logs
Well, for me the TaggedLogging solution is a no go, I can live with some logs getting lost if the server crashes badly, but I want my logs to be perfectly ordered. So, following advice from the issue comments I'm applying this to my app:
# lib/sequential_logs.rb
module ActiveSupport
class BufferedLogger
def flush
#log_dest.flush
end
def respond_to?(method, include_private = false)
super
end
end
end
# config/initializers/sequential_logs.rb
require 'sequential_logs.rb'
Rails.logger.instance_variable_get(:#logger).instance_variable_get(:#log_dest).sync = false
As far as I can say this hasn't affected my app, it is still running and now my logs make sense again.
They should add some quasi-random reqid and write it in every line regarding one single request. This way you won't get confused.
I haven't used it, but I believe Lumberjack's unit_of_work method may be what you're looking for. You call:
Lumberjack.unit_of_work do
yield
end
And all logging done either in that block or in the yielded block are tagged with a unique ID.