Create a time dimension table in pure hive SQL

Without further ado, here is the full SQL to create a table giving you one row per day, with date, year, month, day, day and name of the week, day of the year. If you want the hours as well, look at the bottom of this post.

set hivevar:start_day=2010-01-01;
set hivevar:end_day=2050-12-31;
set hivevar:timeDimTable=default.timeDim;

create table if not exists ${timeDimTable} as
with dates as (
select date_add("${start_day}", a.pos) as d
from (select posexplode(split(repeat("o", datediff("${end_day}", "${start_day}")), "o"))) a
)
select
    d as d
  , year(d) as year
  , month(d) as month
  , day(d) as day
  , date_format(d, 'u') as daynumber_of_week
  , date_format(d, 'EEEE') as dayname_of_week
  , date_format(d, 'D') as daynumber_of_year

from dates
sort by d
;

Note that I use d as date column because date is a reserved keyword.

The biggest issue is to generate one row per day. The trick here is to use a clever combination of posexplode, split and reapeat. This is what the first CTE does:

-- just 10 days for the example
set hivevar:start_day=2010-01-01;
set hivevar:end_day=2010-01-10;
select date_add("${start_day}", a.pos) as d
from (select posexplode(split(repeat("o", datediff("${end_day}", "${start_day}")), "o"))) a

We can break it down in a few parts:

select datediff("${end_day}", "${start_day}");
-- output: 9

Just computes the difference between start and end day in days.

select repeat("o", 9);
-- output: ooooooooo

Will output a string with 9 ‘o’. The actual character does not matter at all.

select split("ooooooooo", "o");
-- output:  ["","","","","","","","","",""]

Creates a hive array of 9 (empty) strings.

select posexplode(split("ooooooooo", "o"));
-- output:
-- +------+------+--+
-- | pos | val |
-- +------+------+--+
-- | 0 | |
-- | 1 | |
-- | 2 | |
-- | 3 | |
-- | 4 | |
-- | 5 | |
-- | 6 | |
-- | 7 | |
-- | 8 | |
-- | 9 | |
-- +------+------+--+

Actually create a row per array element, with the index (0 to 9) and the value (nothing) of each element.

That was the tricky part, the rest is easy. The first CTE creates a row with each date, adding the array index (in day) to the start_day:

with dates as (
select date_add("${start_day}", a.pos) as d
from (select posexplode(split(repeat("o", datediff("${end_day}", "${start_day}")), "o"))) a)
select * from dates;
-- +-------------+--+
-- | dates.d |
-- +-------------+--+
-- | 2010-01-01 |
-- | 2010-01-02 |
-- | 2010-01-03 |
-- | 2010-01-04 |
-- | 2010-01-05 |
-- | 2010-01-06 |
-- | 2010-01-07 |
-- | 2010-01-08 |
-- | 2010-01-09 |
-- | 2010-01-10 |
-- +-------------+--+

From there on, you can just create whatever column you feel like. Quarter column? floor(1+ month(d)/4) as quarter. Long name of the week? date_format(d, 'EEEE') as dayname_of_week_long.

As a bonus, I give you the same table but with hours added. The principles are exactly the same, with a cartesian join beween dates and hour:

set hivevar:start_day=2010-01-01;
set hivevar:end_day=2010-01-02;
set hivevar:timeDimTable=default.timeDim;

create table if not exists ${timeDimTable} as<span id="mce_SELREST_start" style="overflow:hidden;line-height:0;"></span>
with dates as (
  select date_add("${start_day}", a.pos) as d
  from (select posexplode(split(repeat("o", datediff("${end_day}", "${start_day}")), "o"))) a
),
hours as (
  select a.pos as h
  from (select posexplode(split(repeat("o", 23), "o"))) a
)
select
    from_unixtime(unix_timestamp(cast(d as timestamp)) + (h * 3600)) as dt
  , d as d
  , year(d) as year
  , month(d) as month
  , day(d) as day
  , h as hour
  , date_format(d, 'u') as daynumber_of_week
  , date_format(d, 'EEEE') as dayname_of_week
  , date_format(d, 'D') as daynumber_of_year

from dates
join hours
sort by dt
;
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7 thoughts on “Create a time dimension table in pure hive SQL

    • To get weekly list

      select next_day(date_add(${startdate}, a.pos*7), ‘SA’) from ( select posexplode(split(repeat(“x”, int(datediff( ${enddate}, ${startdate})/7)-1), “x”))) as a;

  1. Pingback: 在纯 hive SQL 中创建时间维度表 – FIXBBS

  2. Awesome code! Thank you for sharing. I think you might want to change the “sort by” to “order by”. In my version of Hive the “sort” sorts results by node, the order by sorts the whole return set.

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