HariprasadAllaka1612 commented on issue #933: Support for multiple level partitioning in Hudi URL: https://github.com/apache/incubator-hudi/issues/933#issuecomment-537344107 yes i am using spark data source. I feel this is to extract the data which is already partitioned in hive. I wanted to know if we can store the data from a data frame using this class. the schema of my dataframe is mentioned below root |-- amount_gc: double (nullable = true) |-- bonus_amount_gc: double (nullable = true) |-- bonus_balance_gc: double (nullable = true) |-- game_currency: string (nullable = true) |-- description: string (nullable = true) |-- device: string (nullable = true) |-- free_game_external_id: string (nullable = true) |-- game_id: string (nullable = true) |-- game_session_id: string (nullable = true) |-- jackpot_contribution_gc: double (nullable = true) |-- jackpot_payout_gc: double (nullable = true) |-- jackpot_seed_gc: double (nullable = true) |-- provider_id: long (nullable = true) |-- player_session_id: long (nullable = true) |-- promotional: boolean (nullable = true) |-- round_id: string (nullable = true) |-- real_amount_gc: double (nullable = true) |-- request_id: string (nullable = true) |-- system_exchange_rate: double (nullable = true) |-- transaction_id: string (nullable = true) |-- turnover: long (nullable = true) |-- total_balance_gc: double (nullable = true) |-- transaction_type: string (nullable = true) |-- player_id: string (nullable = true) |-- exchange_rate: double (nullable = true) |-- handled_ts: timestamp (nullable = true) |-- amount_pc: double (nullable = true) |-- real_amount_pc: double (nullable = true) |-- bonus_amount_pc: double (nullable = true) |-- OperatorShortName: string (nullable = false) |-- year: integer (nullable = true) |-- month: integer (nullable = true) |-- day: integer (nullable = true) I wanted to store the data partitioning it based on the last four columns of the schema in the same order
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