Indexing
Criteria queries match JSON payload fields. Without indexes, PostgreSQL and SQLite reads and CCC checks may scan the full boundary event table. FoundationDB is stricter: criteria reads and CCC checks require a ready covering index and return FAILED_PRECONDITION when no such index exists.
Create indexes for fields used in:
- command context criteria
- projector catch-up filters
- common read models
- high-volume event categories
Index API​
Index management is exposed on the EventStore gRPC service, not the Admin service. This matters for embedded deployments: applications can manage indexes without exposing Admin.
All examples assume:
AUTH='Authorization: Basic YWRtaW46Y2hhbmdlaXQ='
Simple Index​
grpcurl -H "$AUTH" \
-d '{"boundary":"orders","name":"customer_id","fields":[{"json_key":"customer_id","value_type":"TEXT"}]}' \
localhost:5005 orisun.EventStore/CreateIndex
High-throughput PostgreSQL CCC​
PostgreSQL group commit resolves canonical CCC event batches as criterion state rather than issuing one database query per request. It:
- deduplicates the batch's AND criteria
- groups criteria by their indexed key shape
- reads the current position of each criterion set-wise
- computes which incoming events match every criterion
- evaluates AND/OR queries in request order, updating criterion state after every accepted request
- bulk-inserts accepted events once
This supports duplicate contexts, different keys, multi-tag AND criteria, multi-criterion OR queries, and query-less events that affect later queried saves. An earlier event in the transaction still invalidates a later query exactly as it would if the saves committed separately.
Every event in a multi-event save receives a consecutive global ID and shares
the save's transaction ID. For each criterion, in-batch state points to the
highest event in that save that matched the criterion. Later queued saves
therefore observe the same (transaction_id, global_id) position that they
would observe after a separately committed multi-event save.
Create indexes for every criterion shape used by high-volume command paths. A
simple customer_id criterion needs the simple index above; a criterion on
customer_id AND region should have a composite index with both fields.
Unindexed criteria remain correct but can scan the boundary event table.
The specialized path for independent single-tag contexts also bulk-inserts
multi-event saves. For burst-oriented workloads, start performance testing with
ORISUN_PG_GC_MAX_BATCH_REQUESTS=512,
ORISUN_PG_GC_MAX_BATCH_EVENTS=1024, and a small coalescing window such as
ORISUN_PG_GC_MAX_DELAY=1ms. The delay trades up to one millisecond of
low-volume latency for fuller batches, so measure it under the target command
mix. Request-local validation failures use the isolated ordered path.
Composite Index​
grpcurl -H "$AUTH" -d @ localhost:5005 orisun.EventStore/CreateIndex <<EOF
{
"boundary": "orders",
"name": "category_priority",
"fields": [
{"json_key": "category", "value_type": "TEXT"},
{"json_key": "priority", "value_type": "TEXT"}
]
}
EOF
Field value types​
value_type controls how Orisun casts the JSON key in the index expression. Queries that compare the same key use the matching cast.
| Value | Backend cast |
|---|---|
TEXT | Text (default). |
NUMERIC | Numeric, for range and ordering predicates. |
BOOLEAN | Boolean. |
TIMESTAMPTZ | Timestamp with time zone. |
Partial Index​
A partial index covers only events that match its conditions, keeping the index small and focused on one event category.
grpcurl -H "$AUTH" -d @ localhost:5005 orisun.EventStore/CreateIndex <<EOF
{
"boundary": "orders",
"name": "placed_amount",
"fields": [
{"json_key": "amount", "value_type": "NUMERIC"}
],
"conditions": [
{"key": "eventType", "operator": "=", "value": "OrderPlaced"}
],
"condition_combinator": "AND"
}
EOF
Each condition operator must be one of =, >, <, >=, or <=; any other value is rejected. condition_combinator is AND by default, or OR when any condition may match.
Drop An Index​
grpcurl -H "$AUTH" \
-d '{"boundary":"orders","name":"customer_id"}' \
localhost:5005 orisun.EventStore/DropIndex
Inspect Indexes​
Use ListIndexes for a boundary-wide inventory and GetIndex for one logical
name:
grpcurl -H "$AUTH" -d '{"boundary":"orders"}' \
localhost:5005 orisun.EventStore/ListIndexes
grpcurl -H "$AUTH" \
-d '{"boundary":"orders","name":"customer_id"}' \
localhost:5005 orisun.EventStore/GetIndex
Each definition includes its fields, conditions, combinator, and state.
BUILDING means the index is registered but its backfill has not completed;
READY means it can be used. FoundationDB exposes its live backfill state.
Synchronous PostgreSQL and SQLite creation normally returns only after the
index is ready.
The inventory contains indexes managed through Orisun's index API. It does not
attempt to parse arbitrary database-native indexes. After upgrading an existing
PostgreSQL installation, recreate an existing logical definition with
CreateIndex to adopt it into the inventory; the physical IF NOT EXISTS
creation remains idempotent.
Backend Behavior​
PostgreSQL uses concurrent JSONB expression-index builds so boundary writes can
continue during creation. Orisun verifies pg_index.indisvalid before reporting
an index as READY. If a concurrent build fails or a retry finds an invalid
physical index, Orisun drops that invalid index and leaves the logical
definition BUILDING so the operation can be retried cleanly. SQLite uses JSON
expression indexes.
Naming and safety​
Index names are boundary-local logical names. Orisun validates names before creating backend objects.
Use migrations or a controlled startup task for production index creation. Creating indexes during high-traffic command paths can add avoidable latency.