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Framework-agnostic Elixir CDC consumer for Postgres logical replication (pgoutput) with sink-owned, transaction-granularity exactly-once delivery.

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# Replicant
A framework-agnostic Elixir CDC consumer for Postgres logical replication
(`pgoutput`), delivering committed row changes to a pluggable **sink** with
**zero data loss**: the replication slot advances only after the sink has
durably persisted the transaction.
Replicant is **tenant-blind and classification-blind** — the reliable CDC
consumer sibling to [`arcadic`](https://github.com/baselabs/arcadic).
Multitenancy, classification, and Ash resources live one layer up, in the
[`ash_replicant`](https://hex.pm/packages/ash_replicant) sink adapter.
> **Status:** v1 is complete and production-hardened. Replicant owns
> the replication slot via `Postgrex.ReplicationConnection`, acks only after the
> sink durably commits (ack-after-checkpoint), halts fail-closed on slot
> invalidation, and is proven by a real-PG16 crash-injection suite
> (loss = 0, effect-dup = 0). As of **v0.2.0**, initial snapshot/backfill (incl. a
> resumable incremental mode), a lib-owned checkpoint
> store for non-transactional sinks, batched checkpointing, sink-owned atomic
> batch delivery, in-progress-transaction streaming, consumer-side disk
> spill for oversized transactions, multi-publication per pipeline, and
> logical-decoding messages have all shipped. See "How it streams" below.
## Highlights
- **Sink-owned, transaction-granularity exactly-once** — the unit of delivery
and of the watermark is the *transaction*, keyed by its single `commit_lsn`
(every row in a pgoutput proto-v1 transaction shares one commit LSN). A sink
skips any transaction whose `commit_lsn <= checkpoint` and upserts rows by
table PK; that is at-least-once plus an idempotent sink, which is the only
honest way to reach exactly-once without two-phase commit.
- **Value-free errors, logs, and telemetry** — every row value is assumed to
be PII or a secret. Decode failures are caught and scrubbed into a
`Replicant.Error` that never carries raw WAL bytes; telemetry metadata is
allowlisted to LSNs, table names, counts, durations, and error classes.
- **Identifier-validated SQL** — slot and publication names pass through
`Replicant.Identifier.validate/1` (a strict Postgres-identifier allowlist)
before they reach SQL, closing the raw-interpolation surface in the
upstream parser this library vendors from.
- **TOAST-sentinel aware** — an UPDATE that doesn't touch a TOASTed column
sends a sentinel, not the value. Replicant surfaces it as a first-class
`unchanged: [col]` list on `Replicant.Change`, so a sink knows exactly which
columns to leave untouched on upsert, instead of overwriting them with a
placeholder.
- **Fail-closed on destructive schema drift** — a replica-identity change or a
dropped column is classified `:destructive` and halts, rather than silently
emitting incomplete or misattributed rows.
- **Column names stay strings** — never `String.to_atom`, so a wide or
attacker-influenced schema cannot exhaust the atom table.
## LSN representation
A Postgres LSN is exposed as a single `non_neg_integer` — the 64-bit value
`(xlog_file <<< 32) ||| xlog_offset` — so that ordinary integer comparison is
correct WAL ordering, and the same value feeds the wire-level standby status
update:
```elixir
Replicant.lsn_to_string(0x16E3778)
#=> "0/16E3778"
```
Use `Replicant.lsn_to_string/1` for display; LSNs are WAL positions, not row
data, so they are permitted in telemetry metadata. The exactly-once watermark
check is plain integer comparison: `txn.commit_lsn <= checkpoint`.
## How it streams
A running pipeline is two processes under a `:one_for_all` supervisor:
- **`Replicant.Connection`** (`Postgrex.ReplicationConnection`) owns the
replication slot and the socket. It answers a keepalive with the **last
durably-checkpointed LSN** while a published transaction is in flight (never
advancing the slot past un-persisted data); when the pipeline is idle it
advances the slot to the server WAL position so a quiet-but-filtered
publication does not pin WAL. It decodes each WAL message behind the
value-free boundary and forwards it to the assembler — it never runs the sink,
so it is always free to answer keepalives. It advances the ack asynchronously
when the sink signals a durable commit, and halts fail-closed on slot
invalidation (`wal_status = 'lost'` / `conflicting`), a decode failure, or a
sustained sink-lag backlog (the bounded in-flight window).
- **`Replicant.AssemblerServer`** applies the sink synchronously, off the
keepalive path, and halts fail-closed on a destructive schema change or a
sink write fault.
Because the ack reports the durable checkpoint while a transaction is in flight
(advancing over filtered WAL only when idle, which carries no publication data),
a crash between dispatch and persist re-delivers from the durable `confirmed_flush`
and the idempotent sink dedups — the exactly-once seam that `walex`'s
fire-and-forget `wal_end + 1` ack does not have.
## PostgreSQL version support
Replicant targets **PostgreSQL 16 as the tested baseline** and is forward-compatible with
**17+**. On PG17+ it reads the authoritative `invalidation_reason` slot column (a superset of
the PG16 `wal_status`/`conflicting` signals) and supports **failover slots** for HA.
### Failover slots (PG17+)
Pass `failover: true` to `Replicant.start_link/1` to create the replication slot with the
`FAILOVER` option, so PostgreSQL syncs it to physical standbys:
Replicant.start_link(
connection: [hostname: "primary.internal", ...],
slot_name: "replicant_orders",
publication: "orders_pub",
sink: MyApp.OrdersSink,
failover: true # PG17+ only; on PG16 the pipeline halts {:config, :failover_unsupported}
)
After a failover, repoint the connection at the promoted primary — the slot already exists
there with its `confirmed_flush` position, so replication resumes with zero loss. Slot sync
(`sync_replication_slots`), promotion, and DNS/endpoint changes are operator concerns.
**Do not point Replicant at an unpromoted standby's synced slot** — it cannot be consumed
until promotion, and Replicant halts fail-closed (`{:slot_synced_unpromoted}`) rather than
looping.
## The 5 critical rules (see `AGENTS.md` for the full text)
1. **No row value in an error, log, or telemetry event.**
2. **Validate identifiers** before they reach SQL.
3. **Exactly-once is at-least-once + a transaction-watermark-idempotent
sink** — never claim a naked exactly-once.
4. **Unchanged TOAST is a sentinel, not a value** — never overwrite it.
5. **Stay tenant-blind** — multitenancy and classification live in
`ash_replicant`, never here.
## Installation
```elixir
def deps do
[
{:replicant, "~> 0.2"}
]
end
```
## Interactive tour (Livebook)
[![Run in Livebook](https://livebook.dev/badge/v1/blue.svg)](https://livebook.dev/run?url=https%3A%2F%2Fraw.githubusercontent.com%2Fbaselabs%2Freplicant%2Fmain%2Fnotebooks%2Fgetting_started.livemd)
[`notebooks/getting_started.livemd`](notebooks/getting_started.livemd) is a
runnable, self-verifying tour: it starts a live pipeline against a local Postgres,
streams `INSERT`/`UPDATE`/`DELETE` through a tiny sink you can watch, then
demonstrates the unchanged-TOAST sentinel, transaction-granularity exactly-once,
snapshot/backfill, and logical-decoding messages. Click the badge to open it in
[Livebook](https://livebook.dev), or read it rendered on
[HexDocs](https://hexdocs.pm/replicant/getting_started.html). The notebook's code
is executed against a live PG16/PG17 on every CI run
(`test/integration/livebook_getting_started_test.exs`), so it never drifts from the
library.
## Usage
Start a pipeline against a standby with `Replicant.start_link/1`, pointing it at
a sink that implements `checkpoint/0` + `handle_transaction/1`:
```elixir
Replicant.start_link(
connection: [hostname: "standby.internal", port: 5432, username: "u",
password: "p", database: "orders", ssl: true],
slot_name: "replicant_orders",
publication: "orders_pub",
sink: MyApp.OrdersSink,
go_forward_only: false
)
defmodule MyApp.OrdersSink do
@behaviour Replicant.Sink
@impl true
def checkpoint, do: {:ok, MyApp.Repo.last_committed_lsn()}
@impl true
def handle_transaction(%Replicant.Transaction{commit_lsn: lsn} = txn) do
# In ONE DB transaction: skip if lsn <= checkpoint, else upsert txn.changes
# by table PK and persist lsn as the new checkpoint. Then:
{:ok, lsn}
end
end
```
**Start modes.** A `:state_mirror` sink starting from an empty checkpoint must declare
its intent — `go_forward_only: true` (stream only new changes), or `snapshot: true`
(**backfill** the current state, then hand off to streaming at the snapshot LSN with zero
gap and zero duplication). A non-empty checkpoint simply resumes. `snapshot: true`
requires the sink to also implement `handle_snapshot/2` (batch upsert; clear the table on
`first_for_table?`) and `handle_snapshot_complete/1` (durably persist the handoff
checkpoint); a mid-snapshot crash halts fail-closed (`:snapshot_incomplete`) for an
operator to drop the slot and retry.
**Resumable incremental snapshot.** For large tables where an all-or-nothing `snapshot: true`
(a crash at 99% of a multi-hour COPY redoes everything) is the adoption blocker, opt into the
**incremental** mode instead:
```elixir
snapshot: [mode: :incremental, chunk_rows: 1000, max_pending_chunks: 4]
```
It creates a **durable** slot and streams immediately, while a linked reader backfills the
publication's tables in PK-ordered keyset **chunks** on its own connection — each chunk
consistency-bracketed by read-only LSN watermarks and collision-corrected against the live
stream (a concurrent write to a backfilling row wins; the stale chunk row is dropped). Progress
is durable per chunk, so a crash, halt, or reconnect **resumes from the last applied chunk**
rather than restarting. Chunks arrive through the same `handle_snapshot/2` callback; sink-owned
mode gives effect-once chunks, lib mode dup ≤ 1 chunk (never loss). PK-less tables fall back to a
bounded whole-table redo. `snapshot: true` remains the point-in-time option and is untouched.
**Lib-owned checkpoint (non-transactional sinks).** Pass a `:checkpoint_store`
(`[connection: <postgrex opts>, table: "replicant_checkpoints"]`) to flip the pipeline
into **lib mode**: the library writes the checkpoint to a durable Postgres table **after**
the sink persists (checkpoint-after-persist), so a non-transactional sink (files, S3,
Kafka, external APIs) needs to implement only `handle_transaction/1`. The guarantee is
**at-least-once, duplicate bounded to one transaction, never loss** — not effect-once (a
non-transactional sink cannot dedup). A store outage (connect-read or mid-stream write) is
bounded: the pipeline retries `max_retries` times (default 5) `retry_backoff_ms` apart
(default 1000 ms — ~5s of outage tolerated) then halts fail-closed; a permanent fault
(schema mismatch / invalid config) halts immediately.
**Sink-owned atomic batch delivery (transactional sinks).** For a **transactional sink** that
can persist multiple rows + checkpoint in one database transaction, pass a top-level
`batch_delivery: [max_transactions: 100, max_delay_ms: 1000]` to accumulate committed
transactions and deliver them as a batch:
```elixir
Replicant.start_link(
connection: [hostname: "standby.internal", port: 5432, username: "u",
password: "p", database: "orders", ssl: true],
slot_name: "replicant_orders",
publication: "orders_pub",
sink: MyApp.OrdersSink,
batch_delivery: [max_transactions: 100, max_delay_ms: 1000],
go_forward_only: false
)
defmodule MyApp.OrdersSink do
@behaviour Replicant.Sink
@impl true
def checkpoint, do: {:ok, MyApp.Repo.last_committed_lsn()}
@impl true
def handle_batch(transactions) do
# In ONE DB transaction: skip any commit_lsn <= checkpoint, else upsert all
# rows from all transactions by table PK, and persist the batch's highest
# commit_lsn as the new checkpoint. Then:
{:ok, List.last(transactions).commit_lsn}
end
end
```
The batch flushes when it reaches `max_transactions` transactions, after `max_delay_ms`
milliseconds idle, or when the batch's WAL span (LSN-span lag) hits an auto-derived
safety cap (derived from `:max_inflight_lag`). Because the rows + checkpoint write is
atomic, effect-once is **preserved** (dup=0, loss=0) — stronger than lib-mode's
`checkpoint_store: [batch: …]` which is per-transaction delivery with batched checkpointing.
The sink must implement both `checkpoint/0` (resume) and `handle_batch/1`; it cannot
use `checkpoint_store`, and any `handle_transaction/1` implementation is ignored.
Emits `[:replicant, :sink, :batch_committed]` telemetry once per flush.
**Consumer-side disk spill (oversized transactions).** By default a single in-progress streamed
transaction is bounded by the in-flight window: one larger than `max_inflight_lag` halts
fail-closed. Opt into **disk spill** to reassemble such a transaction partly on disk and still deliver
it effect-once:
```elixir
Replicant.start_link(
connection: [...], slot_name: "replicant_orders", publication: "orders_pub",
sink: MyApp.OrdersSink, go_forward_only: false,
max_inflight_lag: 64 * 1024 * 1024,
streaming: [
max_concurrent_txns: 64,
spill: [dir: "/var/lib/replicant/spill", max_spill_bytes: 1024 * 1024 * 1024]
]
)
```
A transaction whose resident bytes cross `max_inflight_lag` spills its oldest changes to a per-txn file
under `dir`; at commit it is delivered as a **lazy, single-pass, disk-backed** `%Transaction{}` whose
`changes` streams the spilled frames + the resident tail. There are **two ceilings**: the resident RAM
bound `max_inflight_lag` (the spill trigger) and the disk bound `max_spill_bytes` (a transaction
exceeding it halts `:spill_exhausted`). Defaults: `max_spill_bytes` is `16 × max_inflight_lag`; `dir`
is a `0700` subdir of the OS temp dir.
**Delivery obligation.** A spilled transaction's `changes` is a **single-pass** `Enumerable` valid only
*during* the `handle_transaction/1` (or `handle_batch/1`) call — iterate it with `Enum`/`Stream` and do
**not** call `length/1`, `Enum.to_list/1`, or re-iterate it (any of which forces the whole transaction
back into RAM, defeating spill), and do not retain it past the call. The usual List-backed `changes`
still works exactly as before; only an oversized spilled transaction delivers the lazy form.
**Operator guidance.** Spill files are ephemeral non-fsync'd scratch (`0600`, value-free on fault),
deleted on commit/abort/reset/halt and swept per-slot on (re)connect. Replicant does **not** encrypt
them — if the source rows are sensitive, point `dir` at an encrypted/secure volume; a custom persistent
`dir` is yours to clean on decommission (the default OS temp dir is cleared by the OS).
**Multi-publication per pipeline.** `publication:` accepts a single name (the default) **or a list**.
Pass a list to stream the union of several publications through one slot — every name is validated
and deduplicated, and overlapping tables are de-duped by pgoutput on the wire:
```elixir
Replicant.start_link(
connection: [...],
slot_name: "replicant_orders",
publication: ["orders_pub", "audit_pub"], # was: publication: "orders_pub"
sink: MyApp.OrdersSink,
go_forward_only: false
)
```
Every requested publication must exist; a missing one **halts fail-closed** at connect time rather
than silently streaming the subset (a `START_REPLICATION` that names a missing publication would
otherwise stream only the found subset).
**Logical-decoding messages (`pg_logical_emit_message`).** Opt into Postgres logical-decoding
**messages** with `messages: true` to receive outbox-pattern / heartbeat rows emitted via
`pg_logical_emit_message`. The durability guarantee depends on the message's transactional flag
(stated honestly in the `handle_message/2` docs):
- **Transactional** (`transactional => true` to `pg_logical_emit_message`) — rides
`%Transaction.messages` and inherits the transaction path's `commit_lsn` effect-once dedup
(effect-once, just like the row changes in the same txn).
- **Non-transactional** (`transactional => false`) — arrives standalone via the
`handle_message/2` sink callback and is **at-least-once** (no dedup key; duplicates are possible
on reconnect). This is the honest guarantee — do not claim effect-once for it.
```elixir
Replicant.start_link(
connection: [...],
slot_name: "replicant_orders",
publication: "orders_pub",
sink: MyApp.OrdersSink,
messages: true, # opt-in; sink MUST implement handle_message/2
go_forward_only: false
)
defmodule MyApp.OrdersSink do
@behaviour Replicant.Sink
@impl true
def checkpoint, do: {:ok, MyApp.Repo.last_committed_lsn()}
@impl true
def handle_transaction(%Replicant.Transaction{commit_lsn: lsn, messages: msgs} = txn) do
# msgs :: [Replicant.Decoder.Messages.Message.t()] — transactional messages ride the
# txn and inherit its commit_lsn effect-once dedup. Persist them with the txn's rows.
{:ok, lsn}
end
@impl true
# context :: %{lsn: lsn}; non-transactional messages ONLY (transactional ride handle_transaction/1).
# At-least-once: a reconnect can re-deliver — your effect must be idempotent. The message's
# `content`/`prefix` are USER BYTES (Critical Rule 1: never log or surface them in telemetry).
def handle_message(%Replicant.Decoder.Messages.Message{} = msg, %{lsn: lsn}) do
:ok
end
end
```
`messages: true` requires the sink to implement `handle_message/2`; a sink missing it is rejected at
start (`:messages_unsupported`) rather than silently dropping non-transactional messages later.
## Development
```bash
mix deps.get
mix test
mix quality # format --check-formatted + credo --strict + dialyzer
```
Contributor and agent working rules — including the redaction,
identifier-validation, and tenant-blind invariants — live in
[`AGENTS.md`](AGENTS.md).
## Roadmap
The v1 CDC core and every delivery slice have shipped and are closeout-reviewed
against a real-PG16 crash-injection suite:
- **Offline core** — decode / assemble / validate / redact behind the value-free boundary.
- **Live streaming + exactly-once** — the `Postgrex.ReplicationConnection` that owns the slot with ack-after-checkpoint, slot-invalidation fail-closed halt, and the bounded in-flight window (loss = 0, effect-dup = 0).
- **Initial snapshot / backfill**`EXPORT_SNAPSHOT``COPY` → stream-at-snapshot-LSN, gap-free and dup-free.
- **Resumable incremental snapshot**`snapshot: [mode: :incremental]`: a durable-slot, PK-ordered keyset-chunk backfill interleaved with the live stream and collision-corrected against it, resuming from the last applied chunk after a crash/halt/reconnect (sink-owned effect-once chunks / lib dup ≤ 1 chunk; PK-less whole-table fallback).
- **Lib-owned checkpoint store** — a durable Postgres checkpoint written *after* persist for **non-transactional** sinks (at-least-once, dup bounded to one transaction, never loss), with bounded retry-then-halt on store faults.
- **Batched checkpointing (lib mode)** and **sink-owned atomic batch delivery** — amortize the checkpoint write / the sink's own commit across a batch of transactions.
- **In-progress-transaction streaming** (`pgoutput` v2) and **consumer-side disk spill** — reassemble and deliver a transaction larger than memory, effect-once, instead of halting.
- **Multi-publication per pipeline**`publication: [p1, p2]` streams the union of several publications through one slot, with fail-closed missing-publication detection.
- **Logical-decoding messages** — opt-in `messages: true` delivers `pg_logical_emit_message` payloads: transactional messages ride `%Transaction.messages` (effect-once); non-transactional via `handle_message/2` (at-least-once).
The sibling consumer library has also shipped, one layer up from this core:
- **[`ash_replicant`](https://github.com/baselabs/ash_replicant)** — the Ash /
multitenancy / classification sink adapter (published `v0.2.0`), built on this
tenant-blind core via `{:replicant, "~> 0.1.0"}`.
## Credits
- [**walex**](https://github.com/cpursley/walex) — the `pgoutput` byte parser,
OID-to-type database, type caster, and array parser this library vendors
from (MIT). See `NOTICE` for the full attribution chain (cainophile,
Supabase Realtime, epgsql).
- The `postgrex`/`ash_postgres` split that inspired `arcadic` and
`ash_arcadic` also shapes the `replicant`/`ash_replicant` layering.
## License
MIT — see [LICENSE](LICENSE). Third-party attributions in [NOTICE](NOTICE).