hgraph-persistence
Durable record/replay and frame storage for hgraph (RFC 0025): the FrameStore (memory / local filesystem / S3, Arrow IPC / Parquet), the frame-backed record/replay/compare overloads for the core operator markers, and the DataFrameStorage compatibility surface.
The public C++ ObjectStore is the durable metadata substrate shared by
checkpoint/recovery and the versioned dataflow fabric. It provides:
- immutable create-if-absent with distinct created, idempotent, and conflict outcomes;
- typed absent reads carrying an opaque version token when present, with
backend failures reported separately as
ObjectStoreError; - deterministic lexicographic prefix paging;
- compare/exchange for small named references; and
- memory, local-filesystem, and S3 strategies behind one owning erased handle.
Local immutable publication uses atomic filesystem creation and reference CAS
uses cross-process file locking plus atomic replacement. S3 conditional writes
are sent with If-None-Match / If-Match and AWS Signature V4 through
libcurl; they are not emulated with a read followed by an unconditional write.
FrameStore immutable local and S3 writes use this same backend publication
path after serialising the Frame. This requires one additional
serialized-Frame-sized buffer for an immutable local or S3 write; mutable
FrameStore writes retain their streaming path.
Wheel builds embed a pinned private curl for conditional S3 requests. A shared
hgraph::persistence library carries that implementation itself; consumers of
a static installed C++ library must provide CURL::libcurl version 7.75 or
newer at the final link.
Installing and importing hgraph_persistence registers the
"hgraph.persistence.frame" backend with the shared hgraph runtime;
selecting that backend (set_record_replay_config) activates it from
unchanged hgraph imports.
Runnable Python examples for direct record/replay, transparent component
modes, and keyed time-series storage are in
python/examples.
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