Elasticsearch version (bin/elasticsearch --version): master, various 7.x versions

Plugins installed: N/A

JVM version (java -version): N/A

OS version (uname -a if on a Unix-like system): N/A

Description of the problem including expected versus actual behavior:

In SnapshotsService#shards we assume that if an index has metadata in the cluster state then

It's a detail, but we should manage payload limit size in a human readable fashion like at least MB. I don't see a scenario where someone would like to increase or decrease the limit for a byte.

Currently when clicking an image from search resutls the pop-up includes the image at a fixed size.
I propose to either increase that scaling to a somewhat higher fixed value or factor in the original image size so that very small pictures do not become pixelated.

Currently the preview is too small in my opinion which forces me to visit the website.

DocAddress {
   pub segment_ord: u32,
   pub doc_id: DocId
}

would make more sense.

the ELK stack makes great visualizations. Vespa could have a Logstash+Kibana integration for great visualizations, too!

What happened

Accidentally omitting document content returns 500 Internal Server Error with a body of {"message":"Internal error","uri":"/new_index"}

What was expected

Emitting any kind of helpful message would be helpful. Also, in my experience, when the client receives a 500 response, there is usually something informative on the server-side. But in this case, the server e

Create a suite of tools to easily manipulate SQuAD format data. It would be useful to have tools to do things such as:

• merging annotations
• converting SQuAD format to Pandas data frame and vice versa
• easier functions to remove samples / paragraphs / annotations
• easier functions to count
• easier functions to return all questions or all answers

People are interested in a size-comparison between

• tinysearch
• lunr.js
• elasticlunr
• flexsearch
• fuse.js

If anyone wants to do a comparison, post a comment here.
Some ideas:

• Use an open dataset, e.g. Shakespeare texts https://shakespeare.folger.edu/download/
• Create a size histogram of the results that we can include into the README.
• Add the code to the repository under a `b