README

Elasticsearch index lifecycle for Symfony. The query and faceted-UI half lives in survos/search-bundle; this bundle owns everything that writes.

Why it's separate

survos/search-bundle adapters are read-only, and it must not require an engine client — an app using only the SQLite FTS5 or Postgres BM25 adapter shouldn't pay for elasticsearch/elasticsearch, elastic/transport and OpenTelemetry. Index ownership therefore lives in the engine's own bundle, exactly as survos/meili-bundle already does for Meilisearch.

This is deliberately not FOSElasticaBundle: that brings its own query layer (Finder, its own Query objects), which would compete with search-bundle's Query/ResultSet/facets, and its mappings live in ES-specific YAML instead of deriving from #[Field] metadata.

Commands

bin/console elastic:index:status   [code]
bin/console elastic:index:create   [code] [--drop] [--strict|--no-strict]
bin/console elastic:index:populate [code] [--batch-size=250] [--limit=N]
bin/console elastic:index:rebuild  [code] [--keep-old] [--batch-size=250]
bin/console elastic:index:delete   [code] [--force]

Mappings are not computed here — they come from the search's resolved adapter parameters in search-bundle, so querying and indexing can't drift apart.

Demo: a faceted, stemmed search in five minutes

Reproduced end to end against survos-sites/bench (Elasticsearch 9.5.0, 300 films). Every number below is from that run.

# config/packages/survos_search.yaml
survos_search:
    default_adapter: es
    adapters:
        es: { dsn: '%env(ELASTICSEARCH_DSN)%' }

# config/packages/survos_elastic.yaml
survos_elastic:
    analysis:
        language: english
        ascii_folding: true

bin/console elastic:index:create app_movie     # bench_movie -> bench_movie_20260816113526
bin/console elastic:index:populate app_movie   # indexed 300 documents

Then open /entity/app_movie/search. The page is served by search-bundle's ux-search components against the Elasticsearch adapter — 300 results, a Year range slider whose 1986–2023 bounds come from a live stats aggregation, and term facets (mcu, superhero, marvel, …) from terms aggregations.

Stemming is the part worth demonstrating, because it is invisible until you look for it:

query	results
`?query=village`	2
`?query=villages`	2
`?query=war`	13

Singular and plural returning the same hits is the english stemmer. Without survos_elastic.analysis those numbers are 0 and 2 — the default standard analyzer does no stemming at all. On the same index you can see both behaviours side by side:

curl "$ES/bench_movie/_analyze" -H 'Content-Type: application/json' \
  -d '{"analyzer":"standard","text":"Running through Kovács'"'"' villages"}'
#   -> running, through, kovács, villages

curl "$ES/bench_movie/_analyze" -H 'Content-Type: application/json' \
  -d '{"analyzer":"survos_text","text":"Running through Kovács'"'"' villages"}'
#   -> run, through, kovac, villag

Changing the analyzer

index.analysis is a static setting — editing the config does nothing to an index that already exists. The admin page says so rather than letting you wonder:

Configured for "hungarian" but this index was built with "english". index.analysis is a static setting, so the configuration has had no effect on it — run elastic:index:rebuild.

bin/console elastic:index:rebuild app_movie

builds a new generation, populates it, swaps the alias atomically, and drops the old one. The old index serves every query until the moment of the swap, and a failure mid-populate leaves the live alias untouched.

Admin pages

/admin/elastic/ lists every registered search with its index, document source and schema status; /admin/elastic/{code} is the diagnostic page — alias, analyzers, dynamic mapping, declared-vs-actual drift, field count, deep-paging headroom, and a Field intent table tracing each #[Field] through the adapter into the live mapping. That last one answers "why isn't my facet showing up" without guessing which of the three layers dropped it.

Doctrine sync

ElasticSpoolDoctrineListener collects changed ids in postPersist/postUpdate/postRemove and hands them off in postFlush. It never calls Elasticsearch inline: a database write must not depend on the search engine being up, and an HTTP request must not wait on it.

Messages carry ids, never documents. The worker loads current state when it runs, so duplicate messages are cheap and correct -- an import that flushes the same entity four times produces one reindex from the final state, not four racing writes.

# config/packages/survos_elastic.yaml
survos_elastic:
    spool_dir: '%kernel.project_dir%/var/elastic-spool'
    spool_enabled: true
    async: true        # dispatch through Messenger
    batch_size: 500    # ids per message

Two modes

async: true (default, needs symfony/messenger) dispatches ReindexDocuments / RemoveDocuments, chunked by batch_size, so one enormous flush becomes several bounded jobs.

async: false, or no bus installed, writes a JSONL spool drained by elastic:spool:flush. This is the right mode for a bulk import: a line per id costs nothing, and reconciling 400k ids once at the end beats dispatching 400k messages.

bin/console elastic:spool:flush [FQCN] [--batch-size=500] [--async]

Routing

Unrouted messages are handled synchronously -- which still works, but the flush then waits on Elasticsearch, defeating the point. Route them to get real async:

# config/packages/messenger.yaml
framework:
    messenger:
        routing:
            'Survos\ElasticBundle\Message\ReindexDocuments': async
            'Survos\ElasticBundle\Message\RemoveDocuments': async

Not built yet

The embedding cache. Vectors stay off until it exists — see search-bundle's docs/elasticsearch.md.
Streaming/resumable populate, conditional indexing, relation traversal in auto-mapping, a raw request-body hook, search_after deep paging and suggesters — see survos/mono#42 items 3–8.

Settings/analyzer management and schema validation are done — see the demo above and the admin pages.

survos / elastic-bundle

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