feat: Cassandra online store, concurrent fetching for multiple entities#3356
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minimal handling of exceptions in concurrent query execution read_concurrency parameter in Cassandra online store config yaml Signed-off-by: Stefano Lottini <[email protected]>
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: adchia, hemidactylus The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
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# [0.27.0](v0.26.0...v0.27.0) (2022-12-05) ### Bug Fixes * Changing Snowflake template code to avoid query not implemented … ([#3319](#3319)) ([1590d6b](1590d6b)) * Dask zero division error if parquet dataset has only one partition ([#3236](#3236)) ([69e4a7d](69e4a7d)) * Enable Spark materialization on Yarn ([#3370](#3370)) ([0c20a4e](0c20a4e)) * Ensure that Snowflake accounts for number columns that overspecify precision ([#3306](#3306)) ([0ad0ace](0ad0ace)) * Fix memory leak from usage.py not properly cleaning up call stack ([#3371](#3371)) ([a0c6fde](a0c6fde)) * Fix workflow to contain env vars ([#3379](#3379)) ([548bed9](548bed9)) * Update bytewax materialization ([#3368](#3368)) ([4ebe00f](4ebe00f)) * Update the version counts ([#3378](#3378)) ([8112db5](8112db5)) * Updated AWS Athena template ([#3322](#3322)) ([5956981](5956981)) * Wrong UI data source type display ([#3276](#3276)) ([8f28062](8f28062)) ### Features * Cassandra online store, concurrency in bulk write operations ([#3367](#3367)) ([eaf354c](eaf354c)) * Cassandra online store, concurrent fetching for multiple entities ([#3356](#3356)) ([00fa21f](00fa21f)) * Get Snowflake Query Output As Pyspark Dataframe ([#2504](#2504)) ([#3358](#3358)) ([2f18957](2f18957))
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This changes the retrieval of features from the Cassandra online store by leveraging the
Cassandra driver's native concurrency capabilities.
When there are several entities to be retrieved, instead of a sequential read one-by-one, entity after entity,
the reads are executed concurrently, with the driver ensuring the results are kept in the correct order and the call
returns when all results are available.
This, as measured in realistic environments, implies a speedup of 2-3x for retrieval of 20 to 100 entities at once.
Using the Cassandra driver's
execute_concurrent_with_argsfunction requires a new parameter controlling the maximum amount of concurrency to use (somewhat bounded by the number of vCPUs at hand): for transparency, this is exposed in the feature store configuration yaml as a new parameter, which is documented and correctly handled by the guided procedure offeast init -t cassandra.