James Lamb
James Lamb
Currently, we have no tests on whether the R or Python packages work on Windows. Should add some CI using Appveyor to test this. See for example https://github.com/jameslamb/rsixygen/blob/master/appveyor.yml It would...
See [this comment](https://github.com/uptake/uptasticsearch/pull/161#discussion_r316495782) from #161 for background. File `test_data/sample_es7.json` was introduced in that PR to handle the fact that `_type` in ES7 was removed (i.e. indices can no longer contain...
The `uptasticsearch` R package contains a function, `get_fields()` which allows you to work with a data frame representation of the fields you could expect to get back from indices in...
Discovered while working on #155. When the R client receives an error from ES (a non-2xx response code), currently the code fails with an error just like `"error: 404"` or...
The Python side of this project should be documented on RTD! This involves: * Add `sphinx` setup stuff on the Python package * Add a`.readthedocs.yml`, e.g. https://github.com/jameslamb/doppel-cli/blob/master/.readthedocs.yml * Go to...
Per discussion in #58 ... `es_search` does not currently support `reverse_nested` aggregations. Well, technically it _might_ support them but we have no tests around that. To be honest I have...
Today, `uptasticsearch` only works when you have the ability to directly query the cluster. If your cluster has some authentication / authorization set up on it (e.g. Shield), this library...
Our Travis builds these days take around an hour to complete: https://travis-ci.org/UptakeOpenSource/uptasticsearch/builds Each individual build (one combination of ES version + language) takes around 10 mins to complete. Right now...
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....