from pyspark.sql.functions import col
from delta.tables import DeltaTable

# Create sample Delta table
data = spark.range(0, 4).withColumn("value", col("id") * 2)
data.show()
data.write.format("delta").mode("overwrite").save("delta-table")

# Update the Delta table
delta_table = DeltaTable.forPath(spark, "delta-table")
delta_table.update(
    condition=(col("id") % 2 == 0), 
    set={"value": col("value") + 1}
)
delta_table.toDF().orderBy("id").show()

# "Rollback" to version 0 using time-travel
rollback_version = 0
rollback_data = (
    spark.read.format("delta")
    .option("versionAsOf", rollback_version)
    .load("delta-table")
)

rollback_data.orderBy("id").show()
Rollback Data in Delta Lake Using time travel
