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Delta delta streamer should handle cases where there is no feature gr… #1412

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Delta delta streamer should handle cases where there is no feature gr… #1412

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8 changes: 5 additions & 3 deletions utils/python/hsfs_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -290,7 +290,7 @@ def offline_fg_materialization(
print(f"startingOffsets: {offset_string}")

# read kafka topic
df = (
kafka_df = (
spark.read.format("kafka")
.options(**read_options)
.option("subscribe", entity._online_topic_name)
Expand All @@ -302,7 +302,7 @@ def offline_fg_materialization(
)

# filter only the necassary entries
df = df.filter(
df = kafka_df.filter(
expr(
"CAST(filter(headers, header -> header.key = 'featureGroupId')[0].value AS STRING)"
)
Expand All @@ -323,7 +323,9 @@ def offline_fg_materialization(
entity.insert(deserialized_df, storage="offline")

# update offsets
df_offsets = df.groupBy("partition").agg(max("offset").alias("offset")).collect()
df_offsets = (
kafka_df.groupBy("partition").agg(max("offset").alias("offset")).collect()
)
if offset_string == "earliest":
offset_dict = {entity._online_topic_name: {}}
else:
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