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https://issues.apache.org/jira/browse/METRON-562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15658391#comment-15658391
]
ASF GitHub Bot commented on METRON-562:
---------------------------------------
Github user nickwallen commented on a diff in the pull request:
https://github.com/apache/incubator-metron/pull/352#discussion_r87670483
--- Diff:
metron-analytics/metron-profiler/src/main/java/org/apache/metron/profiler/bolt/ProfileBuilderBolt.java
---
@@ -243,8 +244,18 @@ private void flush(Tuple tickTuple) {
measurement.setValue(result);
emit(measurement, tickTuple);
+ // Execute the update with the old state
+ Map<String, String> tickUpdate = profileConfig.getTickUpdate();
+ Map<String, Object> state = executor.getState();
+ if(tickUpdate != null) {
+ tickUpdate.forEach((var, expr) -> executor.assign(var, expr,
executor.getState()));
--- End diff --
This is what you had in a prior iteration that does what you are describing.
```
profileConfig.getTickUpdate().forEach((var, expr) -> executor.assign(var,
expr, new HashMap<>()));
```
The only change that i suggested previously was to make the `result`
available to the `tick` expressions, which I think could be generally useful.
```
profileConfig.getTickUpdate().forEach((var, expr) -> executor.assign(var,
expr, Collections.singletonMap("result", result));
```
> Add rudimentary statistical outlier detection
> ---------------------------------------------
>
> Key: METRON-562
> URL: https://issues.apache.org/jira/browse/METRON-562
> Project: Metron
> Issue Type: New Feature
> Reporter: Casey Stella
> Assignee: Casey Stella
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> With the advent of the profiler, we can now capture state. Furthermore, with
> Stellar, we can capture statistical summaries. We should provide rudimentary
> outlier detection functionality in the form of Stellar functions that can
> operate on captured state from the profiler.
> To begin, we should enable simple outlier tests using distance from a central
> measure such as Median Absolute Deviation (see
> http://www.itl.nist.gov/div898/handbook/eda/section3/eda35h.htm).
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