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https://issues.apache.org/jira/browse/TINKERPOP-3219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18043308#comment-18043308
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ASF GitHub Bot commented on TINKERPOP-3219:
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DR1N0 commented on PR #3285:
URL: https://github.com/apache/tinkerpop/pull/3285#issuecomment-3621719860
> You mentioned that:
>
> > many modern graph database deployments use alternative protocols like
gRPC
>
> Could you elaborate on that? I'd be curious to know which ones are
offering this that support TinkerPop.
That's an overstating description. gRPC isn't widespread yet. I'm working
for eBay and we have an internal graph DB that is using gRPC for connection.
The problem I met was that MessageSerializer was exposed in Java, but not in
go driver, forcing me to fork the whole gremlin-go to do the same thing that
java client already did.
> Add public serialization API in gremlin-go for alternative transport protocols
> ------------------------------------------------------------------------------
>
> Key: TINKERPOP-3219
> URL: https://issues.apache.org/jira/browse/TINKERPOP-3219
> Project: TinkerPop
> Issue Type: Improvement
> Components: go
> Affects Versions: 4.0.0, 3.8.1
> Reporter: Haiyu Wang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0, 3.8.1
>
>
> Currently, gremlin-go only supports WebSocket transport. The serialization
> logic (GraphBinary) is internal/private, preventing developers from building
> custom transport implementations (gRPC, HTTP/2, etc.) while maintaining
> Gremlin API compatibility.
> This improvement adds a new file gremlin-go/driver/serializer_export.go with
> 5 exported wrapper functions around existing internal serialization logic:
> - SerializeRequest() - Serialize bytecode with traversal source
> - SerializeBytecode() - Convenience wrapper using default source
> - SerializeStringQuery() - Serialize string queries
> - DeserializeResult() - Deserialize response bytes
> - NewResultSet() - Create ResultSet from collected results
> These are thin wrappers with zero modifications to existing code, fully
> backward compatible, and enable the ecosystem to build alternative transports.
> Use case: Building gRPC-based Gremlin clients for production deployments.
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