deep-100m-batch-update-eval

Batch-update evaluation workload package generated from deep-100m-static-search-eval.

Dataset

Source static dataset: deep-100m-static-search-eval
Vector count: 100,000,000
Dimension: 96
Dtype: float32
Metric: l2
Initial update index: 80,000,000 vectors with external labels equal to A = P[0:80M]
Update order: update_order.u32, a seed-42 permutation of source IDs [0, 100M)
Insert vector source: base_permuted.fbin, where row j equals base.fbin[P[j]]

Traces

insert-20: starts from A, then inserts P[80M:100M] in twenty 1,000,000-vector batches.
delete-20: starts from the static 100M state, then deletes P[80M:100M] in twenty 1,000,000-vector batches.
mixed-replace-100: keeps 80M live vectors for 100 rounds; each round deletes a cyclic 1,000,000 source-ID slice and inserts base_permuted.fbin row ranges: batches 1-20 use rows 80M:100M, then batches 21-100 use rows 0:80M. Insert external IDs use existing P[80M:100M] labels for the first 20 rounds, then new labels in [100,000,000, 180,000,000).

Batch JSON files use compact descriptors (range, u32_slice, and u32_cyclic_slice) instead of inline million-ID arrays. Insert external_ids continue to express user-visible source IDs. Insert vector_refs are row ranges in the reordered insert source and must be read from base_permuted.fbin.

Ground Truth

Checkpoint ground truth is produced by filtering the static source ground truth in source-distance order through the checkpoint owner map. Files are exact top-10 only when every query retains at least 10 active candidates from the static source GT depth. If a checkpoint cannot provide top-10 for every query, the package writes a matching .invalid.json marker instead of padding.

Files

workload.json: workload contract.
static-workload-reference.json: immutable static-search-eval references.
source_manifest.json: generation manifest.
update_order.u32: seed-42 source-ID permutation.
initial/index_80m_m32_efc500: HNSW index built from base[A] with labels A.
groundtruth/active_80m.bin: initial 80M checkpoint GT, or active_80m.invalid.json.
initial/layout-sidecar/index_80m_m32_efc500.*: optional runtime layout sidecar for the initial HNSW index.
initial/pq/pq_m<M>.*: initial 80M PQ artifacts reordered for initial/index_80m_m32_efc500 internal IDs.
initial_pq_manifest.json: source static PQ files and validation samples for the reordered initial PQ artifacts.
base_permuted.fbin: reordered insert vector source, present when insert vector_refs are row ranges.
reordered_insert_manifest.json: source, formula, size, and sample-check manifest for base_permuted.fbin.
traces/*/trace.json: trace metadata.
traces/*/batches/*.json: compact batch descriptors.
traces/*/groundtruth/*: checkpoint GT or invalid markers.
checksums.sha256: checksums for generated package files.

Static PQ codebooks and metadata are reused. initial/pq/pq_m<M>.pqcodes contains only 80,000,000 rows and is ordered by the initial HNSW internal ID, so it can be used directly with initial/index_80m_m32_efc500.

PQ row-order compatibility

The initial 80M PQ payloads were already generated in HNSW internal-ID order; they do not inherit the former base-row ordering of the static dataset and were not rewritten during the static PQ correction. For internal row i, initial/pq/pq_m<M>.pqcodes[i] encodes the external label stored in initial/index_80m_m32_efc500 row i.

initial_pq_manifest.json records code_order: hnsw_internal_id and validation samples. tools/reorder_pq_codes_for_index.py is included to reproduce or validate the same transformation when a new initial HNSW index is built.