@Rocky how would i define a partition that covers a 6 month period

To define a partition that covers a 6-month period in StarRocks, you have two primary methods: using Batch Partitioning (for fixed ranges at table creation) or Expression Partitioning (for automatic partition management). Method 1: Batch Partitioning (Manual/Fixed Range) If you want to create a set of partitions with a 6-month interval at the time of table creation, you can use the

START

,

END

, and

EVERY

syntax within the

PARTITION BY RANGE

clause.

sql
CREATE TABLE sales_data (
    order_date DATE,
    order_id INT,
    total_amount DECIMAL(18, 2)
)
DUPLICATE KEY(order_date, order_id)
PARTITION BY RANGE (order_date) (
    START ("2023-01-01") END ("2025-01-01") EVERY (INTERVAL 6 MONTH)
)
DISTRIBUTED BY HASH(order_id);

How it works: * START / END: Defines the overall time range for the partitions. * EVERY (INTERVAL 6 MONTH): Tells StarRocks to divide that range into 6-month buckets. * The system will automatically name these partitions based on the interval (e.g.,

p202301

,

p202307

). ────────── Method 2: Expression Partitioning (Automatic/Recommended) For a more modern approach where StarRocks automatically creates partitions as data arrives, you can use the

time_slice

function. This is often preferred because it handles new data without requiring you to manually add partitions in advance.

sql
CREATE TABLE sales_data (
    order_date DATE,
    order_id INT,
    total_amount DECIMAL(18, 2)
)
DUPLICATE KEY(order_date, order_id)
-- This will automatically group data into 6-month slices
PARTITION BY time_slice(order_date, INTERVAL 6 MONTH)
DISTRIBUTED BY HASH(order_id);

Benefits: * Automation: You don't need to specify

START

or

END

dates; partitions are created on the fly based on the

order_date

of the incoming data. * Maintenance: Reduces the need for

ALTER TABLE ADD PARTITION

scripts. Summary of Differences Feature | Batch Partitioning (

EVERY

) | Expression Partitioning (

time_slice

) Setup | Defined once at table creation | Defined at creation, scales automatically Control | Precise control over start/end dates | Dynamic based on data Maintenance | Need to add more partitions later | Zero-maintenance for new periods If you are using StarRocks v3.1 or later, the Expression Partitioning method (

time_slice

) is generally the most efficient and easiest way to manage custom intervals like-sized time buckets. References • sql-reference/sql-statements/table_bucket_part_index/CREATE_TABLE.md • using_starrocks/async_mv/use_cases/create_partitioned_materialized_view.md • table_design/data_distribution/expression_partitioning.md • using_starrocks/async_mv/Materialized_view.md • using_starrocks/Cost_based_optimizer.md • best_practices/partitioning.md