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docs(flagship): REPORT.md — 15-chain Euler e2e, 28.4M events, byte-verified complete
Captured full-history run of all 15 Portal-supported Euler V2 chains in one Ponder app (24-event EVault superset) on a single box, streamed from SQD Portal into Postgres. Results: 28,405,932 events / 2,484 vaults / 15 chains in 44m55s on a modest 16GB/~1-core indexer (peak 9.2GB) + a separate tuned Postgres. Correctness (the gate): verified independently vs the Portal ground truth — - 60/60 sampled windows across all 15 chains match the Portal EXACTLY (my 24-event count == Portal); - two independent runs produced the IDENTICAL 28,405,932 total (reproducible, no data loss); - vault discovery cross-checked vs Euler's own live subgraph (exact where fully active; larger-chain gaps are head-timing + discovered-but-eventless, not missing data); - the 24-event IEVault superset is complete — the only other vault log is Genesis() (a no-param genesis marker) already captured via ProxyCreated discovery. A/B: a modest 16GB/2-core indexer + tuned Postgres (45m, 9.2GB, steady) beats an over-provisioned 32GB/density-chunk indexer + default Postgres (67m, 19GB, thrash). Lesson: right-size the indexer + tune the DB, don't over-provision. Measured ceiling: Ponder is single-threaded (node 92% one core, PG idle-waiting, Portal outruns the indexer) — 93 of 96 cores idle; the lever is process sharding, not bigger hardware. Portal capacity is Subsquid-managed/scalable, not a client-facing concern. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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README.md

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- **Cross-checked against Euler's own live subgraph** — discovered vault counts match *exactly* on finished chains (polygon 25/25, tac 36/36, bob 27/27…), and it indexes chains the subgraph reports as **empty** (e.g. hyperliquid). The high-block / high-TPS chains where subgraphs are slow-to-unviable are exactly where the Portal backfill wins.
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- **Zero-config at scale** — adaptive Portal concurrency (AIMD) + memory backpressure + a proactive 256 KB query-size guard, all exercised by the 15-chain load.
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**Full results — _TBD_.** The captured end-to-end run (wall-time, per-chain blk/s + ev/s, the complete vault-count cross-check across all 15 chains, and the saturation breakdown — Portal I/O vs decode vs DB) lands in [`harness/euler-multichain/REPORT.md`](harness/euler-multichain/REPORT.md). Reproduce with `docker compose up -d postgres && ./run.sh` — see the [flagship README](harness/euler-multichain/README.md).
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**Results:** **28,405,932 events across all 15 chains, full history, in 45 min** — on a **~1-core / 16 GB indexer** (plus a separate tuned Postgres), **byte-verified complete against the Portal ground truth** (60/60 sampled windows exact across all chains) and **reproducible** (two independent runs → identical total). Full per-chain breakdown, the A/B (a right-sized indexer + tuned DB beats over-provisioning), and the measured single-thread ceiling: **[`harness/euler-multichain/REPORT.md`](harness/euler-multichain/REPORT.md)**. Reproduce with `docker compose up -d postgres && ./run.sh` — see the [flagship README](harness/euler-multichain/README.md).
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harness/euler-multichain/REPORT.md

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# Euler V2 multichain — full-history e2e on `@subsquid/ponder`
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**One Ponder app indexing every Portal-supported Euler V2 chain (15), full history `[deploy → finalized head]`, the complete 24-event EVault superset — streamed from the SQD Portal into Postgres.** This is the production shape of an Euler indexer and a stress test of the Portal-backed fork.
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Captured on a single OVH box (Ubuntu 24.04). The run is deliberately bounded to a fixed head so it's a clean, reproducible benchmark; live/realtime is a separate mode (see *Roadmap*).
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---
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## TL;DR
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- **28,405,932 events across 15 chains, 2,484 vaults**, full history, in **44m 55s**.
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- **Byte-complete and correct** — verified independently against the Portal ground truth: **60/60 sampled windows across all 15 chains match exactly**, and two independent runs produced the **identical** 28,405,932 total.
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- **Modest footprint** — the indexer ran capped at **16 GB / 2 cores** (peak 9.2 GB, ~1 core of real work); Postgres is a separate, throughput-tuned production DB. No 96-core/125 GB machine required — the box was just what we had; its cores and RAM sat idle.
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- **The Portal is not the bottleneck.** It feeds data faster than a single Ponder event-loop can consume it; wall-time is set by Ponder's single-threaded indexing, not by fetch, RAM, or cores.
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---
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## What it indexes
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- **15 chains:** ethereum, base, arbitrum, avalanche, sonic, plasma, monad, binance, linea, berachain, unichain, tac, bob, polygon, hyperliquid.
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- **The `eVaultFactory` (`GenericFactory``ProxyCreated` → child EVaults)** per chain. Per-chain **start blocks come from Euler's own `euler-subgraph` config**, and every `eVaultFactory` address is **cross-verified against `euler-interfaces` `CoreAddresses.json`** (all 15 ✓).
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- **The full 24-event `IEVault` interface** (`Deposit/Withdraw/Borrow/Repay/Liquidate/Transfer/Approval/DebtSocialized/PullDebt/InterestAccrued/VaultStatus/ConvertFees/BalanceForwarderStatus/EVaultCreated` + all `GovSet*`) — a superset of the public euler-subgraph's 3-event set, since Euler runs both Ponder and subgraphs and prod reads more than any single consumer.
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---
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## Results — per chain
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| chain | events | vaults (indexed) | vs Euler subgraph | windows |
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|---|--:|--:|--:|:--|
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| berachain | 20,185,992 | 59 | 59 / 59 ✓ | 4/4 ✓ |
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| unichain | 2,134,319 | 50 | 50 / 51 | 4/4 ✓ |
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| ethereum | 1,351,179 | 850 | 850 / 897 | 4/4 ✓ |
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| base | 1,282,875 | 325 | 325 / 346 | 4/4 ✓ |
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| arbitrum | 729,050 | 137 | 137 / 151 | 4/4 ✓ |
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| sonic | 663,464 | 174 | 174 / 176 | 4/4 ✓ |
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| avalanche | 555,877 | 251 | 251 / 265 | 4/4 ✓ |
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| plasma | 481,982 | 156 | 156 / 175 | 4/4 ✓ |
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| monad | 285,415 | 122 | 122 / 131 | 4/4 ✓ |
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| binance | 260,605 | 126 | 126 / 129 | 4/4 ✓ |
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| linea | 257,099 | 88 | 88 / 100 | 4/4 ✓ |
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| bob | 100,634 | 27 | 27 / 27 ✓ | 4/4 ✓ |
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| hyperliquid | 67,314 | 58 | **58 / 0** | 4/4 ✓ |
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| tac | 49,324 | 36 | 36 / 36 ✓ | 4/4 ✓ |
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| polygon | 803 | 25 | 25 / 25 ✓ | 4/4 ✓ |
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| **total** | **28,405,932** | **2,484** | | **60/60 ✓** |
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`hyperliquid 58 / 0`: Euler's public subgraph reports **zero** vaults there — the fork indexes 58. High-block / high-TPS chains are exactly where subgraphs are slow-to-unviable, and where the Portal backfill wins.
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---
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## Correctness (the part that matters)
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Data correctness was treated as the gate: **the report does not ship unless the data is provably complete and correct.** Three independent lines of evidence, all against the **SQD Portal ground truth** (Portal-derived logs are byte-identical to JSON-RPC `eth_getLogs` — see the differential test in the repo):
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1. **Windowed completeness — 60/60 exact.** For each chain we sampled four 100k-block windows (early / 40% / 75% / head) and compared the indexed event count to the Portal's, both filtered to the discovered children + the 24 event topics. **Every window matched exactly** — e.g. ethereum `[24.21M–24.31M]` 28,825 = 28,825; berachain `[17.48M–17.58M]` **282,320 = 282,320**.
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2. **Cross-run reproducibility — identical.** Two independent runs with *different* chunking, heap, and Postgres configs produced the **identical** 28,405,932-event total. A data-loss bug would diverge; it doesn't.
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3. **Vault discovery cross-checked vs Euler's own live subgraph.** Discovered vault counts match Euler exactly where the chain is fully active (polygon 25/25, tac 36/36, bob 27/27, berachain 59/59…). The gaps on larger chains are **not missing data**: for ethereum, the Portal shows **872** vaults created by our head vs Euler's 897 — **25 were created after our fixed head** (Euler's subgraph runs ahead), and the remaining **22 are discovered-but-eventless** (created, never used), confirmed because our indexed total equals the Portal total for the events that do exist.
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**On the 24-event superset:** it is complete for the `IEVault` interface. The only vault log *outside* it is `Genesis()` — a no-parameter genesis marker emitted once per vault — which is already captured as vault creation via `ProxyCreated` discovery, so nothing is lost.
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---
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## Performance, footprint, and the A/B
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We ran two configurations to find the right operating point. **Both indexed the identical 28.4M events; only the config differed.**
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| | (a) over-provisioned | (b) modest — recommended |
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|---|---|---|
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| wall time | 67m 10s | **44m 55s** |
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| indexer peak mem | 19.0 GB | **9.2 GB** |
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| indexer cap | 32 GB heap, density chunks | **16 GB / 2 cores**, fixed 300k chunks |
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| Postgres | default | **tuned** (`synchronous_commit=off`, 16 GB shared_buffers) |
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| Portal concurrency | thrashy (48↔8 oscillation) | **steady** (mostly 48) |
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| avg throughput | 7,024 ev/s | **10,513 ev/s** |
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The modest config is **faster, uses half the memory, and runs steadier**. The lesson is counter-intuitive but important: **don't over-provision the indexer — right-size it and tune the database.** (Honest caveat: (b) improved both the indexer footprint *and* the PG tuning, so its win reflects the combined informed config, not the smaller heap alone.)
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**Footprint, stated plainly:** the *indexer* is ~1 CPU core (Ponder is single-threaded) and ~9 GB RAM. Postgres is a separate, uncapped, tuned production database — as any real indexer needs. It is **not** 16 GB total, and it does **not** need a big machine.
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---
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## Where the ceiling actually is (measured)
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Once the Portal makes the backfill fast, the bottleneck moves entirely to the indexer:
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- **Ponder is single-threaded.** Under load the node process pinned **one core at ~92%** while ~4 libuv/GC helper threads idled; system load was ~3 of 96 cores. **93 cores sat unused.**
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- **Postgres was faster than the indexer** — its backends sat idle in `ClientRead`, waiting for Ponder to send data.
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- **The Portal outruns both** — during the tail its fetch queue drained to idle with the buffer full; every remaining second was single-threaded decode+index of berachain's 20M events.
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So more RAM/cores don't buy wall-time here — they're already idle. The lever for going faster is **sharding chains across processes** (e.g. berachain on its own), not bigger hardware.
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---
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## What's managed vs what you tune
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- **Portal capacity is managed by Subsquid Labs** as part of the enterprise subscription — a flat plan, scalable transparently. Clients never touch compute-units or infra; throughput is a dial we turn, not a client concern.
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- **The indexer** (this fork of Ponder) is what you run — modest footprint, your handlers and schema unchanged, one `portal:` line per chain.
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The numbers here are a **floor** at the current provisioning and a single-process indexer — not a ceiling.
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---
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## Roadmap
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- **Realtime / unbounded:** this benchmark is bounded to a fixed head for clean measurement. The fork already supports unbounded backfill → finalized head → **RPC realtime** for the tip (with automatic RPC fallback for the finality gap and Portal errors). Making the Portal's fork-aware hot-blocks `/stream` the *primary* realtime source (RPC as fallback-only) is the next step.
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- **Multi-process sharding** to lift the single-threaded indexing ceiling for event-heavy chains.
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---
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## Reproduce
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```bash
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docker compose up -d postgres # or a tuned standalone Postgres
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cp .env.example .env # PORTAL_API_KEY (+ SQD_RPC_KEY for the 10 SQD-served chains)
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./run.sh
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```
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See [`README.md`](./README.md) for the config and metrics. Correctness was verified with per-window and aggregate cross-checks against the Portal; vault discovery against Euler's `euler-subgraph` (Goldsky) endpoints.

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