nouveau

Nouveau is a modern replacement for dreyfus/clouseau and is built on;

the Dropwizard framework (https://dropwizard.io)
Java 11+
Lucene 9

Nouveau transforms Apache CouchDB databases into Apache Lucene indexes at the shard level and then merges the results together.

This work is currently EXPERIMENTAL and may change in ways that invalidate any existing Nouveau index.

What works?

you can define a default analyzer and different analyzers by field name.
sorting on text and numbers (and combinations of fields)
classic lucene query syntax
count and range facets
bookmark support for paginating efficiently through large results sets
indexes automatically deleted if database is deleted (as long as nouveau is running!)
integration with ken
integration with mango
integration with resharding
update=false
_nouveau_info
_search_cleanup
/openapi.{json.yaml}

What doesn't work yet?

results grouping
configurable stop words for analyzers
Makefile.win or Windows generally

I don't intend to add grouping support, it seems barely used. Would accept a tidy contribution, though.

Why is this better than dreyfus/clouseau?

No scalang (or Scala!)
Supports any version of Java that Lucene 9 supports
memory-mapped I/O for performance (which works best on Java 19)
direct I/O used for segment merging (so we don't evict useful data from disk cache)

Getting started

Configure CouchDB with `--enable-nouveau'

Build Nouveau with;

make

Run Nouveau with;

dev/run --admin=foo:bar --with-nouveau

Make a database with some data and an index definition;

#!/bin/sh

URL="http://foo:bar@127.0.0.1:15984/foo"

curl -X DELETE "$URL"
curl -X PUT "$URL?n=3&q=16"

curl -X PUT "$URL/_design/foo" -d '{"nouveau":{"bar":{"default_analyzer":"standard", "field_analyzers":{"foo":"english"}, "index":"function(doc) { index(\"string\", \"foo\", \"bar\"); }"}}}'

# curl "$URL/_index" -Hcontent-type:application/json -d '{"type":"nouveau", "index": {"fields": [{"name": "bar", "type":"number"}]}}'

for I in {1..5}; do
    DOCID=$RANDOM
    DOCID=$[ $DOCID % 100000 ]
    BAR=$RANDOM
    BAR=$[ $BAR % 100000 ]
    curl -X PUT "$URL/doc$DOCID" -d "{\"bar\": $BAR}"
done

while true; do
    curl 'foo:bar@localhost:15984/foo/_design/foo/_nouveau/bar?q=*:*'
done

In order not to collide with dreyfus I've hooked Nouveau in with new paths;

curl 'foo:bar@localhost:15984/foo/_design/foo/_nouveau/bar?q=*:*'

This will cause Nouveau to build indexes for each copy (N) and each shard range (Q) and then perform a search and return the results. Lots of query syntax is working as is sorting on strings and numbers (sort=["fieldnamehere<string>"] or sort=["fieldnamehere<number>"], defaulting to number).

Facet support

Counts of string fields and Ranges for numeric fields;

curl 'foo:bar@localhost:15984/foo/_design/foo/_nouveau/bar?q=*:*&limit=1&ranges={"bar":[{"label":"cheap","min":0,"max":100}]}&counts=["foo"]' -g

Index function

Arguments	Effect
index(“text”, “foo”, “bar”, {“store”: true});	analyzes value for full-text searching, optionally stores the value
index(“string”, “foo”, “bar”, {“store”: true});	indexes value as single token, optionally stores value
index(“double”, “foo”, 12.0, {“store”: true});	indexes value, optionally stores value
index(“stored”, “foo”, “bar”);	stores a number, returned with hits
index(“stored”, “foo”, 12.0);	stores a string, returned with hits

Deployment options

All indexes are prefix with their erlang hostname so you can deploy a single nouveau server per cluster if this meets your needs. You can also configure a different nouveau server for each couchdb node too.

There is no need to co-locate the nouveau server with the couchdb cluster, though this is a common option.