LOAD * plus autoloaded Aggregation fields generates incompatible JSON result. - #1381
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Included review availability: Your plan provides up to 2 included reviews per hour; 0 remain after this review. 📝 WalkthroughWalkthroughThe change adds explicit whole-record request tracking for ChangesWhole-record loading
Sequence Diagram(s)sequenceDiagram
participant Client
participant FT_AGGREGATE
participant Coordinator
participant SearchExecutor
participant RecordStore
Client->>FT_AGGREGATE: Submit LOAD * pipeline
FT_AGGREGATE->>Coordinator: Send all_content request
Coordinator->>SearchExecutor: Forward partition request
SearchExecutor->>RecordStore: Fetch complete HASH or JSON content
RecordStore-->>SearchExecutor: Return record content
SearchExecutor-->>Client: Return pipeline results
Suggested reviewers: Priority: ➖ Normal Change: Bug fix Merge Risk: ⚪ Minimal · up to Whole-record loading remains distinct from NOCONTENT and named-field requests across HASH and JSON paths, with compatibility coverage for aggregate pipelines. No merge-blocking risk remains. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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Inline comments:
In `@src/coordinator/coordinator.proto`:
- Around line 157-160: Update the request compatibility handling around
all_content and return_parameters so a legacy receiver preserves full-record
semantics for LOAD * with pipeline fields. Add a backward-compatible encoding or
version negotiation before relying on field 21, ensuring mixed-version fanout
cannot interpret the request as named-only and skip the full-record fetch.
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⛔ Files ignored due to path filters (3)
integration/compatibility/aggregate-answers.pickle.gzis excluded by!**/*.gzintegration/compatibility/array-input-answers.pickle.gzis excluded by!**/*.gzintegration/compatibility/text-search-answers.pickle.gzis excluded by!**/*.gz
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integration/compatibility/generate.pysrc/commands/ft_aggregate.ccsrc/commands/ft_search_parser.ccsrc/coordinator/coordinator.protosrc/coordinator/search_converter.ccsrc/query/response_generator.ccsrc/query/search.ccsrc/query/search.htesting/query/response_generator_test.cc
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allenss-amazon
changed the title
all_content, not by leaving the list empty
A query is in exactly one of three states: it wants nothing from the database, a named list of fields, or the whole record. `SearchParameters` carried only `no_content` plus an attribute list, so the whole-record state had to be spelled as "the list is empty" -- which left no way to express the whole record *and* a named list. That combination is what a JSON index needs. `LOAD *` fetches the root document under `$`, which satisfies no `@field` reference, so a pipeline stage naming `@n1` saw a Nil: `GROUPBY 1 @t1` put every document into a single null-keyed group and `REDUCE SUM 1 @n1` summed nothing. valkey-io#919 fixed this for HASH, where the whole record arrives keyed by field name; JSON was left out because the two requests could not coexist. Add `all_content`, so each of the states has a positive representation: all_content return_attributes fetched ----------- ----------------- ---------------------------------------- false empty nothing (NOCONTENT, RETURN 0, LOAD 0) false list just that list true empty the whole record (LOAD *, no RETURN) true list the whole record *and* that list The flag says "the whole record", not "the JSON root", because both key types need it. A whole-record fetch is spelled differently per type -- a HASH asks for no identifier in particular and the scan keeps every field, while JSON must name `$` -- and that spelling is derived at the fetch site from the key type. Naming the flag for JSON would have regressed HASH: once `ManipulateReturnsClause` stops short-circuiting, the implicit loads populate `return_attributes` under `LOAD *`, and on HASH a non-empty list turns the fetch from every field into only those. Consequences: * `GetContentNoReturnJson` is gone. One fetch path serves both key types: a whole-hash request asks for no identifier in particular, everything else asks for the identifiers it wants -- `$` among them when the whole JSON record was requested. * `MaybeAddIndexedContent` declines when `all_content` is set. It serves named attributes straight from the indexes and populates the neighbor's contents, which makes the main-thread fetch skip that neighbor; with implicit loads now naming attributes under `LOAD *`, the root document would never have been read. * NOCONTENT on a JSON index no longer reads the root document off the key and discards it. It could not be told apart from a whole-record request before, since both spelled themselves as an empty list. * `SearchIndexPartitionRequest` gains `all_content` (field 21) and still writes `no_content`. A request from a sender that predates the field is read back through the old encoding, so a mixed-version fanout does not turn `LOAD *` into a fetch of nothing. Compatibility cases: generate.py gains test_aggregate_loadall_stage and test_aggregate_loadall_two_stages, covering `LOAD *` followed by each of the five stages that CreateAggregateParser builds, plus three two-stage pipelines. The GROUPBY, SORTBY and LIMIT cases are the ones that measure. Redisearch auto-loads for SORTBY and GROUPBY/REDUCE but not for APPLY or FILTER, which error with "Property `n1` not loaded nor in pipeline" whether or not `LOAD *` is present; `compare_results` passes unconditionally when the reference engine raised, so those cases pin reference behavior rather than measuring ours. The docstrings say which is which. Verified: 13/13 unit test suites, the full integration suite (581 passed, 8 skipped, 0 failed), and the compatibility suite including the cluster variant that exercises the new proto field. Before this change the same compatibility run failed ten answers, all in the two new methods on JSON. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011FdgudU2awGuciwaf7dxMF Signed-off-by: Allen Samuels <allenss@amazon.com>
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… pickles Upstream valkey-io#1364 added `generate_sortkey.py` and changed `__init__.py` and `data_sets.py`. The compatibility sources hash covers every .py file in `integration/compatibility/`, so that change invalidates every pickle in the directory -- including the three this branch had already regenerated for the new `LOAD *` cases. Both sides therefore rewrote the same three answer files and git reported a binary conflict on each. The conflict is not resolvable by picking a side: whichever side wins, the hash of the merged sources matches neither. All four pickles are regenerated here instead, which is the only resolution that produces a valid hash, and `sortkey-answers.pickle.gz` arrives from upstream and is regenerated with them. Only the three pickles conflicted; every source file merged cleanly, and both `test_aggregate_loadall_stage` and `test_aggregate_loadall_two_stages` survive intact. Verified on the merge result: 13/13 unit test suites, all five compatibility suites including the new sortkey one and the cluster variant, and the full integration suite (585 passed, 8 skipped, 0 failed). These now run under the parallel test runner that arrived from upstream in the same merge. Signed-off-by: Allen Samuels <allenss@amazon.com> Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011FdgudU2awGuciwaf7dxMF
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… pickles Upstream valkey-io#1366 moved the compatibility reference engine from redis/redis-stack-server to redis:latest and registered generate_expr.py, and valkey-io#1373 changed generate.py. The sources hash covers every .py file in integration/compatibility/, so both sides had rewritten the same answer files and git reported a binary conflict on four of them. No side of that conflict carries a valid hash for the merged sources, so all five pickles are regenerated here against redis:latest (8.10.1). The new reference engine also exposed a spelling problem in two of this branch's cases. Redis 8.10 lexes `+1` as a signed literal, so `@n1+1` is a syntax error there. That turned the GROUPBY-then-APPLY case, which is meant to measure, into a reference-side error that compare_results passes unconditionally. Both cases are rewritten as `1+@x`; valkey-search accepts either spelling. With that change the reference answers again match what the docstrings claim: APPLY and FILTER over a stored field still error with "Property not loaded nor in pipeline", and GROUPBY-then-APPLY returns rows. Other `@x+N` expressions elsewhere in generate.py now record syntax errors against the new reference too. Those predate this branch and are left alone. Only the pickles conflicted; every source file merged cleanly. Verified on the merge result: 13/13 unit test suites and the full integration suite, 586 passed, 8 skipped, 0 failed, including all five compatibility suites. One earlier full run hit a timeout in test_ft_search_partition_controls, which deliberately forces timeouts; it passed three isolated reruns and the subsequent full run. Signed-off-by: Allen Samuels <allenss@amazon.com> Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011FdgudU2awGuciwaf7dxMF
…them Upstream valkey-io#984 added generate_filter.py, so the compatibility sources hash changed again and five answer files conflicted. All six pickles are regenerated against redis:latest (8.10.1). Redis 8.10 lexes `+N` as a signed numeric literal, so an APPLY written `@x+1` is a syntax error on the reference engine. compare_results passes any case where the reference raised, so eight APPLY cases in generate.py had stopped comparing anything since the reference moved to redis:latest. They are rewritten as `N+@x`, which both engines accept and which means the same thing: apply @n1+1 as computed -> apply 1+@n1 as computed apply @n1+1 as n1 -> apply 1+@n1 as n1 apply @n2+100 as r -> apply 100+@n2 as r apply @A+1 as b -> apply 1+@A as b apply @x+1 as y -> apply 1+@x as y apply @ToTal+1 as bumped -> apply 1+@ToTal as bumped apply @n1+10 as bumped ... -> apply 10+@n1 as bumped ... (x2) Before the rewrite every one of them recorded a reference-side exception on both key types; after it every one records rows. They are now compared, and valkey-search matches on all of them. generate_expr.py builds its dyadic expressions as `(l)op(r)`, so it never produces the hazard and is unchanged. Only the pickles conflicted; every source file merged cleanly. Verified on the merge result: 13/13 unit test suites and the full integration suite, 611 passed, 8 skipped, 0 failed, including all six compatibility suites. Signed-off-by: Allen Samuels <allenss@amazon.com> Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011FdgudU2awGuciwaf7dxMF
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Problem
A query is in exactly one of three states: it wants nothing from the database, a named list of fields, or the whole record.
For an aggregation command like:
For HASH indexes, each output record contains the key name and each of the hash members.
For JSON indexes, it's different. Each output record will contain three fields: the key, field and $. Where $ is the serialized JSON object behind that key.
SearchParameterscarried onlyno_contentplus an attribute list, so the whole-record state had to be spelled as "the list is empty". That left no way to express the whole record and a named list.That combination is exactly what a JSON index needs.
LOAD *fetches the root document under$, which satisfies no@fieldreference, so a pipeline stage naming a field saw a Nil:GROUPBY 1 @t1put every document into a single null-keyed groupREDUCE SUM 1 @n1summed nothingSORTBY 2 @n1 ASCdid not sort#919 fixed this for HASH, where the whole record arrives keyed by field name. JSON was left out because the two requests could not coexist.
Fix
Add
all_content, so each state has a positive representation:The flag means the whole record, not the JSON root, because both key types need it. A whole-record fetch is spelled differently per type: a HASH asks for no identifier in particular and the scan keeps every field, while JSON must name
$. That spelling is derived at the fetch site from the key type.Naming the flag for JSON would have regressed HASH. Once
ManipulateReturnsClausestops short-circuiting, the implicit loads populatereturn_attributesunderLOAD *, and on HASH a non-empty list turns the fetch from every field into only those.Consequences
GetContentNoReturnJsonis gone. One fetch path serves both key types.MaybeAddIndexedContentdeclines whenall_contentis set. It serves named attributes straight from the indexes and populates the neighbor's contents, which makes the main-thread fetch skip that neighbor. With implicit loads now naming attributes underLOAD *, the root document would never have been read.SearchIndexPartitionRequestgainsall_content(field 21) and still writesno_content. A request from a sender that predates the field is read back through the old encoding, so a mixed-version fanout does not turnLOAD *into a fetch of nothing.Compatibility cases
generate.pygainstest_aggregate_loadall_stageandtest_aggregate_loadall_two_stages, coveringLOAD *followed by each of the five stagesCreateAggregateParserbuilds, plus three two-stage pipelines.The GROUPBY, SORTBY and LIMIT cases are the ones that measure. Redisearch auto-loads for SORTBY and GROUPBY/REDUCE but not for APPLY or FILTER, which error with
Property `n1` not loaded nor in pipelinewhether or notLOAD *is present.compare_resultspasses unconditionally when the reference engine raised, so those cases pin reference behavior rather than measuring ours. The docstrings say which is which.Before this change the same compatibility run failed ten answers, all in the two new methods on JSON: valkey returned
$alone where Redis returned the named column plus$, and collapsed GROUPBY to a single null-keyed group.🤖 Generated with Claude Code
https://claude.ai/code/session_011FdgudU2awGuciwaf7dxMF