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Spark (contrib)

Description

The Spark offline store provides support for reading SparkSources.
  • Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. A Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view.

Disclaimer

The Spark offline store does not achieve full test coverage. Please do not assume complete stability.

Getting started

In order to use this offline store, you'll need to run pip install 'feast[spark]'. You can get started by then running feast init -t spark.

Example

feature_store.yaml
project: my_project
registry: data/registry.db
provider: local
offline_store:
type: spark
spark_conf:
spark.master: "local[*]"
spark.ui.enabled: "false"
spark.eventLog.enabled: "false"
spark.sql.catalogImplementation: "hive"
spark.sql.parser.quotedRegexColumnNames: "true"
spark.sql.session.timeZone: "UTC"
online_store:
path: data/online_store.db
The full set of configuration options is available in SparkOfflineStoreConfig.

Functionality Matrix

The set of functionality supported by offline stores is described in detail here. Below is a matrix indicating which functionality is supported by the Spark offline store.
Text
Spark
get_historical_features (point-in-time correct join)
yes
pull_latest_from_table_or_query (retrieve latest feature values)
yes
pull_all_from_table_or_query (retrieve a saved dataset)
yes
offline_write_batch (persist dataframes to offline store)
no
write_logged_features (persist logged features to offline store)
no
Below is a matrix indicating which functionality is supported by SparkRetrievalJob.
Text
Spark
export to dataframe
yes
export to arrow table
yes
export to arrow batches
no
export to SQL
no
export to data lake (S3, GCS, etc.)
no
export to data warehouse
no
export as Spark dataframe
yes
local execution of Python-based on-demand transforms
no
remote execution of Python-based on-demand transforms
no
persist results in the offline store
yes
preview the query plan before execution
yes
read partitioned data
yes
To compare this set of functionality against other offline stores, please see the full functionality matrix.
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Description
Disclaimer
Getting started
Example
Functionality Matrix