Delta table example

Python

from featurestore import Client, DeltaTable

# Initialise feature store client
client = Client("ip:port")
fclient.auth.login()

# Set project specifics
project = client.projects.create("demo")

# Create the delta table source
delta = DeltaTable("<path to delta table>")
delta_schema = client.extract_schema_from_source(delta)

# Register the feature set
my_feature_set = project.feature_sets.register(delta_schema, "feature_set_name", primary_key=["key_name"])

# Ingest to cache
my_feature_set.ingest(delta)

# Retrieve feature set
ref = my_feature_set.retrieve()
ref.download()

Scala

import ai.h2o.featurestore.Client
import ai.h2o.featurestore.core.sources.DeltaTable

// Initialise feature store client
val client = Client("url")
client.auth.login()

// Set project specifics
val project = client.projects.create("demo")

// Create the delta table source
val delta = DeltaTable("<path to delta table>")
val deltaSchema = client.extractSchemaFromSource(delta)

// Register the feature set
val myFeatureSet = project.featureSets.register(deltaSchema, "featureSetName", primaryKey=Seq("keyName"))

// Ingest to cache
myFeatureSet.ingest(delta)

// Retrieve feature set
val ref = myFeatureSet.retrieve()
ref.download()

How to apply a filter on Delta table

Python

from featurestore import DeltaTable, DeltaTableFilter
delta_table_filter = DeltaTableFilter(column=..., operator=..., value=...)
delta_source = DeltaTable(path=..., filter=delta_table_filter)

Scala

import ai.h2o.featurestore.core.source.{DeltaTable, DeltaTableFilter}
val deltaTableFilter = DeltaTableFilter(column=..., operator=..., value=...)
val deltaSource = DeltaTable(path=..., filter=deltaTableFilter)

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