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1. Modify input record: This may involve dropping fields from input data if they don’t have corresponding table columns, adding nulls in case of missing fields for certain columns, and adding __HIVE_DEFAULT_PARTITION__ if partition column value is null or empty. Dynamically creating partitions requires understanding of incoming data format to extract last columns to extract partition values.
2. Encode modified record: The encoding involves serialization using an appropriate Hive SerDe.
3. Identify For bucketed tables, extract bucket column values from the record to identify the bucket to which where the record belongsIdentify the partition to which
4. For partitioned tables, in dynamic partitioning mode, extract the partition column values from last N columns (where N is number of partitions) of the record to identify the partition where the record belongs
5. Write encoded record to Hive using the AcidOutputFormat's record updater for the appropriate bucket.

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