This is one of the most commonly used one. Record key refers to one field(column in dataframe) by name and partition path refers to one field (single column in dataframe)īy name. Lets go over different key generators available to be used with Hudi. Will cover those in the respective section. There are few more configs involved if you are looking for TimestampBasedKeyGenerator. Partition field name will be prefixed to the value.

When set to true, uses hive style partitioning. When set to true, partition path will be url encoded. Could refer to any of the available ones or user defined one.

Refers to Key generator class(including full path). Is the interface for KeyGenerator in Hudi for your reference.īefore diving into different types of key generators, let’s go over some of the common configs required to be set for Generators that are readily available to use. This blog goes over all different types of key Implementation for users to implement and use their own KeyGenerator. Hudi provides several key generators out of the box that users can use based on their need, while having a pluggable There won't be any duplicate record keys across Global index, each record is uniquely identified by just the record key. For a dataset with partitioned index(which is mostĬommonly used), each record is uniquely identified by a pair of record key and partition path. In general, Hudi supports both partitioned and global indexes. One should choose the partitioning scheme wisely as it could be aĭetermining factor for your ingestion and query latency. Using primary keys, Hudi can impose a) partition level uniqueness integrity constraintī) enable fast updates and deletes on records. Every record in Hudi is uniquely identified by a primary key, which is a pair of record key and partition path where

Fineprint keygen 9.11