TD Hive SQL

TD Time Functions

td_interval (Recommended for relative time)

where td_interval(time, '-1d', 'JST')      -- Yesterday
where td_interval(time, '-1w', 'JST')      -- Previous week
where td_interval(time, '-1M', 'JST')      -- Previous month
where td_interval(time, '-1d/-1d', 'JST')  -- 2 days ago

Note: Cannot use TD_SCHEDULED_TIME() as first arg. Include TD_SCHEDULED_TIME() elsewhere to establish reference date.

td_time_range (Explicit dates)

where td_time_range(time, '2024-01-01', '2024-01-31', 'JST')
where td_time_range(time, '2024-01-01', null, 'JST')  -- Open-ended

TD_TIME_FORMAT

TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss', 'JST')

TD_TIME_PARSE

TD_TIME_PARSE('2024-01-01', 'JST')  -- String to Unix timestamp

TD_DATE_TRUNC

TD_DATE_TRUNC('day', time, 'JST')
TD_DATE_TRUNC('hour', time, 'UTC')

Hive-Specific Features

MAPJOIN Hint

select /*+ MAPJOIN(small_table) */ *
from large_table l
join small_table s on l.id = s.id
where td_time_range(l.time, '2024-01-01')

lateral view with explode

select user_id, tag
from user_profiles
lateral view explode(tags) tags_table as tag
where td_time_range(time, '2024-01-01')

get_json_object

select
  get_json_object(json_column, '$.user.id') as user_id,
  get_json_object(json_column, '$.event.type') as event_type
from raw_events

Dynamic Partitioning

set hive.exec.dynamic.partition = true;
set hive.exec.dynamic.partition.mode = nonstrict;

insert overwrite table target_table partition(dt)
select *, TD_TIME_FORMAT(time, 'yyyy-MM-dd', 'JST') as dt
from source_table
where td_time_range(time, '2024-01-01', '2024-01-31')

Differences from Trino

Common Errors

When to Use Hive vs Trino

• Use Hive: Memory errors in Trino, batch ETL, Hive-specific UDFs
• Use Trino: Interactive queries, faster execution, approx functions

Resources

• https://cwiki.apache.org/confluence/display/Hive