FluxRPC Engineering
Yellowstone gRPC Reconnect Changes: What Solana Developers Need to Update
Yellowstone gRPC changed how reconnects work in its September 25, 2026 release.
If you are using yellowstone-grpc-client 14.0.0, subscribe and subscribe_with_request no longer reconnect automatically, even when reconnect configuration is present.
Applications that need replay-aware recovery after a broken stream now need to use subscribe_with_reconnect.
For Solana developers running trading systems, indexers, analytics platforms, wallets or other real-time infrastructure, this is an important behavior change.
A dropped gRPC connection is not just a networking problem. If your application silently resumes from the wrong point, you can miss state transitions, replay data incorrectly, or continue operating with an incomplete view of the chain.
What changed in Yellowstone gRPC?
The September 25 release introduced:
yellowstone-grpc-client14.0.0yellowstone-grpc-proto14.0.0yellowstone-grpc-geyser16.0.0
The breaking change is straightforward: subscribe and subscribe_with_request no longer perform reconnect behavior automatically.
For reconnecting streams, the Yellowstone client now provides subscribe_with_reconnect.
Why did Yellowstone change reconnect behavior?
Reconnect logic for blockchain streams is more complicated than simply opening a new connection. A client needs to know:
- what data was fully received before the disconnect
- which slot or bank was only partially delivered
- which fork ultimately finalized
- which updates need to be replayed
- which updates must not be emitted twice
The new subscribe_with_reconnect path is bank-aware and designed to handle that state explicitly.
After reconnecting, it can emit a ReconnectEvent::DiscardBanks event for partially delivered banks before replacement updates are delivered.
That is much safer than treating reconnect as a simple transport retry.
What is subscribe_with_reconnect?
subscribe_with_reconnect is the reconnect-aware Yellowstone subscription method introduced in yellowstone-grpc-client 14.0.0.
It is designed to:
- reconnect after stream interruption
- resume relative to finalized chain state
- reconcile partially delivered banks
- avoid duplicate delivery during replay
- prevent long-lived bank-tracking state from growing indefinitely
The upstream changelog says it resumes after the last finalized slot rather than the first slot of the original subscription. This prevents a reconnect much later in the stream from failing because the initial replay point has fallen outside the server replay window.
There are two important requirements
The new reconnecting subscription currently requires:
- processed commitment
- no startup snapshot
That means you should not simply swap method names without checking the assumptions in your existing subscription logic.
What can go wrong if you do nothing?
If your application upgrades the Rust Yellowstone client but continues assuming subscribe will recover automatically, a connection interruption may leave your stream stopped until your own application reconnects it.
That matters most for applications where continuous chain state is operationally important. Examples include:
- trading bots
- liquidation systems
- custom indexers
- market-data pipelines
- wallet monitoring
- account-state replication
- real-time analytics
- risk systems
The failure mode may be subtle.
Your process can still be alive while your data stream is no longer current.
That is why stream health should be treated as application state, not just connection state.
How should Solana developers handle Yellowstone reconnects?
If you use the current Rust Yellowstone client and require replay-aware automatic recovery, review whether subscribe_with_reconnect is appropriate for your application.
More generally, your application should explicitly track:
- whether the gRPC stream is currently active
- the last slot/update successfully processed
- whether a reconnect occurred
- whether replay or bank-discard events were received
- whether downstream local state remains valid
- when the application should stop processing because data freshness cannot be guaranteed
The important principle is:
Do not assume that reconnecting a socket means your application has recovered its chain state.
Why bank-aware reconnects matter on Solana
Solana applications often consume data before finalization. That gives applications lower latency, but it also means some observed state may belong to a bank that does not ultimately win.
If a connection drops while a bank is being delivered, the client can end up with only part of that bank's updates.
A reconnecting client therefore needs to distinguish between:
- updates that are still valid
- updates that need to be replayed
- updates from abandoned or replaced banks
- updates it has already processed
The new reconnect path explicitly accounts for this by tracking banks and signaling when partially delivered banks should be discarded.
Yellowstone also improved duplicate handling
The September release includes several related replay and deduplication improvements.
The upstream changelog says DedupStream now:
- reconciles partially delivered slots after reconnect
- releases only unseen updates rather than replaying the full slot
- improves deduplication for account writes without a transaction signature
- avoids redelivering complete banks during repeated recovery attempts
These changes matter because a reconnecting stream should recover missing state without creating a second problem: duplicate downstream events.
FluxRPC users should review their reconnect assumptions
FluxRPC provides Yellowstone gRPC for real-time Solana accounts, transactions, blocks and slot data through yellowstone.eu.fluxrpc.com. Authentication is provided through the x-token header.
- Full documentation: FluxRPC Yellowstone docs
- Quick start: FluxRPC Yellowstone quick start
FluxRPC's Yellowstone infrastructure uses multiple producer nodes so the service itself is not dependent on a single upstream validator producing the stream.
However, provider-side redundancy and client-side recovery solve different problems.
A highly available provider can reduce infrastructure-side outages, but your application still needs correct behavior when:
- the client loses connectivity
- the network path breaks
- the process restarts
- an intermediate proxy times out
- the client library changes reconnect semantics
The application's own subscription logic still matters.
Developer checklist
Before upgrading Yellowstone or changing your subscription implementation, check:
- Which Yellowstone client/version are you running?
- Does your subscription method actually reconnect?
- Are you relying on behavior that changed in client 14.0.0?
- If using
subscribe_with_reconnect, are you using processed commitment? - Are startup snapshots disabled as required?
- Can your application handle bank-discard/replay events correctly?
- Do you track stream freshness independently of process health?
- What happens to downstream state after a prolonged disconnect?
- Do you alert when a stream stops advancing?
- Have you tested reconnect behavior under real connection interruption?
How to connect to Yellowstone gRPC with FluxRPC
FluxRPC's Yellowstone quick start is here: FluxRPC Yellowstone quick start
The endpoint is yellowstone.eu.fluxrpc.com:443, with your FluxRPC API key provided as the x-token header.
Example:
grpcurl \
-proto geyser.proto \
-import-path . \
-H "x-token: <your-API-key>" \
-d '{"slots":{"all_slots":{}},"commitment":1}' \
yellowstone.eu.fluxrpc.com:443 \
geyser.Geyser/SubscribeFinal takeaway
The September Yellowstone change makes one thing clear:
A real-time blockchain stream should not treat reconnect as a generic networking retry.
If your application depends on continuous Solana state, recovery needs to account for replay, forks, partially delivered banks and duplicate data.
For developers upgrading to yellowstone-grpc-client 14.0.0, the immediate action is to review any assumption that subscribe or subscribe_with_request will reconnect automatically.
Use the reconnect-aware path where appropriate, and make stream freshness part of your application's operational health.