Implement to_char according to the PostgreSQL spec: https://www.postgresql.org/docs/9.1/functions-formatting.html by translating to the java.time patterns used in DATETIME_FORMAT.
Follows: #54832

Feature Summary ✨

When a user presses the button to Create a study guide, study guide creation page should be shown to the user.

Why do we need this?

Essential feature as withou

Mailpile should automatically stop trying to re-check a mailbox/folder which has been deleted from the source/server.

This should be done in such a way that if the mailbox reappears, polling starts again. This should be relatively straightforward, mostly we need to make sure that each individual mailbox type communicates clearly that it's "gone" (not just temporarily unavailable) and the master

Hi
I can't figure out how to index bolded field in this complex document. If you have to time to look, I appreciate.

data.docx

var doc = [{
id: 14,
name: "xxxxx",
code: "0001",
term: 1,
term_id: 1,
Programs: {
program_name: "Surgery",
Program_Kind: {

When I add the document with same id but different content to the index, the former still can be searched.
Maybe it should be replaced by the latter.

Right now, the integration test use the movie dataset. This is an issue because this dataset is unnessecarily big for testing purpose and thus drastically slows down running the test suite. I suggest we use a smaller dataset (< 100 entries) to improve our CI time.

I have been asked about the scoring algorithm that tantivy uses and realised that neither I, nor the documentation have a canonical description for it apart from:

The larger the number, the more relevant the document to the search

https://docs.rs/tantivy/0.10.3/tantivy/type.Score.html

I think it will be great to add more information and run through an example query on an index to show w

Hello Vespa Team,
Can you please consider support a properties-file which is available during run-time along with the model ? So some meta-data e.g. threshold/label, etc can be associated with the model.
This is for the stateless evaluation of the models like (XGBoost, TensorFlow, Onnx, etc) which is supported in vespa.

Thank you,
Pinank

use case

I use the data-jets attribute for other things aswell, which means I cannot force it to lowercase.
having multiple data- attributes (one for Jets and one for others) is very expensive in a large dataset

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

We need a shiny new guide to run the new Magnetissimo on Heroku.

I'll take a stab at this once I add a few more features I have planned, if no one has taken care of it beforehand.

Included in this issue, maybe creating a Heroku Deploy button for 1-click set ups?

Description

Neither the stuff on Github nor the 'detailed guide' on the website quite talks about what one needs to do to create the data index, from which TypeSense queries. Do we have to create multiple JSONs as documented in the example? Is there a Wordpress plugin to do the same?

Steps to reproduce

None. It's a question.

Expected Behavior

Expect TypeSense to have some

I think it would be helpful in the "Use" section to add how long it takes an average user to get a result.

I have it taking down about 120KiB/s which is not a ton but also have zero results after 20 minutes.

It would be a helpful guideline so people know when it's time to report errors.

Just for curiousity it would be interesting to know the bandwidth to result ratio. I bet nobody has th

Hi,

I am reading up on RediSearch for the first time so I don't have much background about it. I don't really know about its history and the motivation behind it.

Having read the multi-threading documentation page, it somewhat feels like a hammer is being used on a screw. I don't understand why something single-threaded in nature would b

There are several things not accurately documented/outdated:

• -v2 is used the examples but does not work
• # duckduckgo not supported although it is in the list of supported search engines
• To get a list of all search engines --config is suggested but that just fails

The doc_id field is configured to be an integer. It's very common for databases to use non-integer IDs these days, particular when the data is stored in MongoDB, etc.

Any suggestions for using non-integer IDs with TNTSearch? Maybe I can generate a unique integer from a non-integer (eg. sha1) ID?

/2017-02-17/ /home/zxn/src/github.com/Qihoo360/poseidon/dist/index-0.1/home/poseidon/src//test/firstdocid/2017-02-17/ 2017-02-17 /home/zxn/src/github.com/Qihoo360/poseidon/dist/index-0.1/etc/test.json
doc meta setter map reduce test 2017-02-17 failed

executing request http://127.0.0.1:39610/service/meta/test/doc/set
executing request http://127.0.0.1:39610/service/meta/test/doc/set
executing

Expected result:

Can't find schema.json or it's not readable. Default location (`./etc/schema.json`) could be overridden with `-s, --schema-file` command-line paramethers

Actual result:

thread 'main' panicked at 'called `Result::unwrap()` on an `Err` value: Os { code: 2, kind: NotFound, message: "No such file or directory" }', src/libcore/result.rs:1084:5
note: run with `RUST_

The jackett.json needed when using the search engine in qBitorrent is not located in %localappdata%\qBittorrent\nova3\engines\ as specified here. Instead, it is based in a python folder. Had to search it using Everything. See capture below.

[Jackett.json location using Everythin

Steps to reproduce:

• Turn off the "search as you type" option.
• Find something.
• Select a result.
• Select the query field. (Notice the result remaining selected)
• Change or input new query.
• Hit enter to search for it.

Observed behavior:

• The residual result selection prompts openning/executing of the result instead of a search operation.

Expected behaviour:

GitHub just rolled-out a new feature for its search bar:

Which leads to interferences with this extension:

<img width="431" alt="screen shot 2018-05-24 at 18 05 18" src="https://user-images.githubusercontent.com/5436545/404977

Now, some query examples(simple and prefix) are given, but it seems to be not enough to get quick start for more complicated query logic.

Query String Query supports all kinds of query such as Phrases, Field Scoping, Boolean Query, Numeric Ranges, fuzzy search and so on.

If more examples are given, it seems to be more friendly to tiro.