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from datetime import timedelta
from dateutil import parser
base_path = "s3://open-data-lake-demo-us-east-1/moma/artists_mor"
instances = [ # times in EST
"2021-12-30 08:00:00", # reflects original record (r)
"2021-12-30 09:00:00", # refects updates 1 and 2 (u)
"2021-12-30 09:30:00", # refects updates 3 (u)
"2021-12-30 11:00:00", # refects updates 4 (u)
"2021-12-30 12:30:00", # refects updates 5 (u)
"2021-12-30 14:00:00", # refects delete (d)
]
for instant in instants:
as_of_instant = parser.parse(instant) + timedelta(hours=5) # adjust EST for UTC
print(f"Record state as of: {as_of_instant}")
artistsSnapshotDF = (
spark.read.format("hudi").option("as.of.instant", as_of_instant).load(base_path)
)
artistsSnapshotDF.createOrReplaceTempView("hudi_artists_snapshot")
spark.sql(
"""
SELECT _hoodie_commit_time, __op, _hoodie_partition_path, name, nationality, gender, birth_year, death_year
FROM hudi_artists_snapshot
WHERE artist_id=299;
"""
).show()
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