* Add doc runtime class path
* Use getAllHttpSocketURI.get(0) instead of getAllHttpSocketURI to get a single
test cluster URL rather than a list
Backport: 3057e0f
Previously the functions accepted a doc values reference, whereas they now
accept the name of the vector field. Here's an example of how a vector function
was called before and after the change.
```
Before: cosineSimilarity(params.query_vector, doc['field'])
After: cosineSimilarity(params.query_vector, 'field')
```
This seems more intuitive, since we don't allow direct access to vector doc
values and the the meaning of `doc['field']` is unclear.
The PR makes the following changes (broken into distinct commits):
* Add new function signatures of the form `function(params.query_vector,
'field')` and deprecates the old ones. Because Painless doesn't allow two
methods with the same name and number of arguments, we allow a generic `Object`
to be passed in to the function and decide on the behavior through an
`instanceof` check.
* Refactor the class bindings so that the document field is passed to the
constructor instead of the instance method. This allows us to avoid retrieving
the vector doc values on every function invocation, which gives a tiny speed-up
in benchmarks.
Note that this PR adds new signatures for the sparse vector functions too, even
though sparse vectors are deprecated. It seemed simplest to understand (for both
us and users) to keep everything symmetric between dense and sparse vectors.
This adds a gradle task called generateContextDoc in the Painless module. The
task will start a cluster, issue commands against the context rest api for
Painless, and generate documentation for each API per context. Each context
has a first page of classes sorted by package first and class name second,
along with a page per package with each classes' constructors, methods, and
fields. A link is generated for each constructor, method, and field to a JavaDoc
page when possible.
Stuart Tettemer
Julie Tibshirani
Jack Conradson