Help Center/ MapReduce Service/ Component Operation Guide (LTS)/ Using Hudi/ Hudi SQL Syntax Reference/ Hidden Partitioning/ Creating a Hudi Table on Spark and Enabling Hidden Partitioning
Updated on 2026-04-10 GMT+08:00
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Creating a Hudi Table on Spark and Enabling Hidden Partitioning

For details about the table creation statement, see CREATE TABLE.

To create a Hudi table with hidden partitioning, add the following parameters to options_list:

hoodie.hidden.partitioning.max.rules = [hidden_partition_max_rules_num]

hoodie.hidden.partitioning.rule = [hidden_partition_rules]

hoodie.hidden.partitioning.enabled = [hidden_partition_enable]

Parameter

Description

Mandatory

hoodie.hidden.partitioning.max.rules

Maximum number of hidden partitioning rules allowed. The value is a string.

No. The default value is 5. Performance degrades as the number of partitioning rules increases. If more than five rules are defined, you should adjust this parameter.

hidden_partition_rules

Hidden partitioning rule. The value is a string.

Yes

hidden_partition_enable

Whether to enable hidden partitioning. The value is of the Boolean type.

Yes

Examples

create table test ( id int, name string, price double, size int, ts timestamp )
using hudi tblproperties
(primaryKey = 'id',
preCombineField = 'ts',
hoodie.hidden.partitioning.rule = 'date(ts, yyyy), date(ts, MM), bucket(id, 5)',
hoodie.hidden.partitioning.enabled = 'true'
);
Parent topic: Hidden Partitioning