feat: Cassandra online store, concurrency in bulk write operations #3367
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write_concurrency parameter in configuration and bootstrap guided procedure Signed-off-by: Stefano Lottini <stefano.lottini@datastax.com>
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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 implements the counterpart of #3356 but for writing. Using the native concurrency offered by Cassandra drivers allows for much faster write operations to the online store, which is crucial especially in the Materialize phase.
On a realistic setup (EC2 instance running the materialization on a DB in the same region), speedups of a factor about 12x are achieved.
Similarly to the read-optimization mentioned above, a new
write_concurrencyparameter is introduced (with defaults and full backward-compatibility) to control the level of concurrency should it ever be needed (the defaults should be fine in all cases, anyway).In order to preserve the behaviour of the callbacks to
progressduring writes to the online store, which makes the progress bar behave correctly, in the functiononline_write_batchan ad-hoc iterator is built (seeunroll_insertion_tuples) which, while it unfolds the whole set of rows to write, takes the care of invokingprogressonce per entity (each entity in general entails multiple rows to the DB table).The documentation and the guided
feast init -t cassandraprocedure are also updated to reflect this.