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feat: Feast Spark Offline Store (feast-dev#2349)
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* State of feast

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kevjumba and adchia authored Mar 4, 2022
1 parent 74f887f commit 98b8d8d
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2 changes: 2 additions & 0 deletions docs/reference/data-sources/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,3 +9,5 @@ Please see [Data Source](../../getting-started/concepts/feature-view.md#data-sou
{% page-ref page="bigquery.md" %}

{% page-ref page="redshift.md" %}

{% page-ref page="spark.md" %}
45 changes: 45 additions & 0 deletions docs/reference/data-sources/spark.md
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@@ -0,0 +1,45 @@
# Spark

## Description

**NOTE**: Spark data source api is currently in alpha development and the API is not completely stable. The API may change or update in the future.

The spark data source API allows for the retrieval of historical feature values from file/database sources for building training datasets as well as materializing features into an online store.

* Either a table name, a SQL query, or a file path can be provided.

## Examples

Using a table reference from SparkSession(for example, either in memory or a Hive Metastore)

```python
from feast import SparkSource

my_spark_source = SparkSource(
table="FEATURE_TABLE",
)
```

Using a query

```python
from feast import SparkSource

my_spark_source = SparkSource(
query="SELECT timestamp as ts, created, f1, f2 "
"FROM spark_table",
)
```

Using a file reference

```python
from feast import SparkSource

my_spark_source = SparkSource(
path=f"{CURRENT_DIR}/data/driver_hourly_stats",
file_format="parquet",
event_timestamp_column="event_timestamp",
created_timestamp_column="created",
)
```
2 changes: 2 additions & 0 deletions docs/reference/offline-stores/README.md
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Expand Up @@ -9,3 +9,5 @@ Please see [Offline Store](../../getting-started/architecture-and-components/off
{% page-ref page="bigquery.md" %}

{% page-ref page="redshift.md" %}

{% page-ref page="spark.md" %}
38 changes: 38 additions & 0 deletions docs/reference/offline-stores/spark.md
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@@ -0,0 +1,38 @@
# Spark

## Description

The Spark offline store is an offline store currently in alpha development that provides support for reading [SparkSources](../data-sources/spark.md).

## Disclaimer

This Spark offline store still does not achieve full test coverage and continues to fail some integration tests when integrating with the feast universal test suite. Please do NOT assume complete stability of the API.

* Spark tables and views are allowed as sources that are loaded in from some Spark store(e.g in Hive or in memory).
* Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view.
* A `SparkRetrievalJob` is returned when calling `get_historical_features()`.
* This allows you to call
* `to_df` to retrieve the pandas dataframe.
* `to_arrow` to retrieve the dataframe as a pyarrow Table.
* `to_spark_df` to retrieve the dataframe the spark.

## Example

{% code title="feature_store.yaml" %}
```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
```
{% endcode %}
4 changes: 4 additions & 0 deletions sdk/python/feast/__init__.py
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Expand Up @@ -3,6 +3,9 @@
from pkg_resources import DistributionNotFound, get_distribution

from feast.infra.offline_stores.bigquery_source import BigQuerySource
from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import (
SparkSource,
)
from feast.infra.offline_stores.file_source import FileSource
from feast.infra.offline_stores.redshift_source import RedshiftSource
from feast.infra.offline_stores.snowflake_source import SnowflakeSource
Expand Down Expand Up @@ -47,4 +50,5 @@
"RedshiftSource",
"RequestFeatureView",
"SnowflakeSource",
"SparkSource",
]
4 changes: 3 additions & 1 deletion sdk/python/feast/cli.py
Original file line number Diff line number Diff line change
Expand Up @@ -477,7 +477,9 @@ def materialize_incremental_command(ctx: click.Context, end_ts: str, views: List
@click.option(
"--template",
"-t",
type=click.Choice(["local", "gcp", "aws", "snowflake"], case_sensitive=False),
type=click.Choice(
["local", "gcp", "aws", "snowflake", "spark"], case_sensitive=False
),
help="Specify a template for the created project",
default="local",
)
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7 changes: 5 additions & 2 deletions sdk/python/feast/inference.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
FileSource,
RedshiftSource,
SnowflakeSource,
SparkSource,
)
from feast.data_source import DataSource
from feast.errors import RegistryInferenceFailure
Expand Down Expand Up @@ -84,7 +85,9 @@ def update_data_sources_with_inferred_event_timestamp_col(
):
# prepare right match pattern for data source
ts_column_type_regex_pattern = ""
if isinstance(data_source, FileSource):
if isinstance(data_source, FileSource) or isinstance(
data_source, SparkSource
):
ts_column_type_regex_pattern = r"^timestamp"
elif isinstance(data_source, BigQuerySource):
ts_column_type_regex_pattern = "TIMESTAMP|DATETIME"
Expand All @@ -97,7 +100,7 @@ def update_data_sources_with_inferred_event_timestamp_col(
"DataSource",
"""
DataSource inferencing of event_timestamp_column is currently only supported
for FileSource and BigQuerySource.
for FileSource, SparkSource, BigQuerySource, RedshiftSource, and SnowflakeSource.
""",
)
# for informing the type checker
Expand Down
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