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perf: Parallelize read calls by table and batch #4619

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Merged
franciscojavierarceo merged 4 commits into from
Oct 12, 2024
Merged

perf: Parallelize read calls by table and batch #4619

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3b37b8a
put all dynamo calls in an asyncio.gather
robhowley Oct 11, 2024
b3b7ed1
fix: indexing
robhowley Oct 11, 2024
3a30284
parallelize the per table lookups
robhowley Oct 12, 2024
e6fcd78
ruff
robhowley Oct 12, 2024
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ruff 
Signed-off-by: Rob Howley <howley.robert@gmail.com>
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@robhowley
robhowley committed Oct 12, 2024
commit e6fcd78864321b6f8f43684660c9988bfae91846
14 changes: 9 additions & 5 deletions sdk/python/feast/infra/online_stores/online_store.py
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Expand Up @@ -260,12 +260,16 @@ async def query_table(table, requested_features):

return idxs, read_rows

all_responses = await asyncio.gather(*[
query_table(table, requested_features)
for table, requested_features in grouped_refs
])
all_responses = await asyncio.gather(
*[
query_table(table, requested_features)
for table, requested_features in grouped_refs
]
)

for (idxs, read_rows), (table, requested_features) in zip(all_responses, grouped_refs):
for (idxs, read_rows), (table, requested_features) in zip(
all_responses, grouped_refs
):
Comment on lines +263 to +272
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@robhowley robhowley Oct 12, 2024

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when requesting features across multiple tables, we can parallelize the calls to each.

feature_data = utils._convert_rows_to_protobuf(
requested_features, read_rows
)
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