This commit adds a boolean system property, `es.scripting.use_java_time`,
which controls the concrete return type used by doc values within
scripts. The return type of accessing doc values for a date field is
changed to Object, essentially duck typing the type to allow
co-existence during the transition from joda time to java time.
Throw an exception for doc['field'].value
if this document is missing a value for the field.
After deprecation changes have been backported to 6.x,
make this a default behaviour in 7.0
Closes#29286
* Replace Ingest ScriptContext with Custom Interface
* Make org.elasticsearch.ingest.common.ScriptProcessorTests#testScripting more precise
* Don't mock script factory in ScriptProcessorTests
* Adjust mock script plugin in IT for new API
* Handle missing values in painless
Throw an exception for `doc['field'].value`
if this document is missing a value for the `field`.
For 7.0:
This is the default behaviour from 7.0
For 6.x:
To enable this behavior from 6.x, a user can set a jvm.option:
`-Des.script.exception_for_missing_value=true` on a node.
If a user does not enable this behavior, a deprecation warning is logged on start up.
Closes#29286
* Migrate scripted metric aggregation scripts to ScriptContext design #29328
* Rename new script context container class and add clarifying comments to remaining references to params._agg(s)
* Misc cleanup: make mock metric agg script inner classes static
* Move _score to an accessor rather than an arg for scripted metric agg scripts
This causes the score to be evaluated only when it's used.
* Documentation changes for params._agg -> agg
* Migration doc addition for scripted metric aggs _agg object change
* Rename "agg" Scripted Metric Aggregation script context variable to "state"
* Rename a private base class from ...Agg to ...State that I missed in my last commit
* Clean up imports after merge
Added dedicated script contexts for:
* script function score
* script sorting
* terms_set query
Scripts for these contexts will either have a specific return value or
use scoring and therefor in the future will need their own scripting classes.
Relates to #30511
This pipeline aggregation gives the user the ability to script functions that "move" across a window
of data, instead of single data points. It is the scripted version of MovingAvg pipeline agg.
Through custom script contexts, we expose a number of convenience methods:
- MovingFunctions.max()
- MovingFunctions.min()
- MovingFunctions.sum()
- MovingFunctions.unweightedAvg()
- MovingFunctions.linearWeightedAvg()
- MovingFunctions.ewma()
- MovingFunctions.holt()
- MovingFunctions.holtWinters()
- MovingFunctions.stdDev()
The user can also define any arbitrary logic via their own scripting, or combine with the above methods.
