Reputation: 2509
Suppose I have a table with the following schema
name | type
----------------------
id | STRING
timestamp | TIMESTAMP
event_type | STRING
some_value | STRING
...
I want to get all the events of type 'x'
. However, I also want an additional parameter for every row returned. This parameter is a boolean that should be TRUE
if the nearest event WHERE event_type='y'
has some_value='necessary value'
.
For example, assuming the following rows are ordered by timestamp ascending:
event_type | some_value
------------------------
y | 'true value'
x | 'not relevant'
y | 'false value'
x | 'not relevant 2'
y | 'true value'
y | 'false value'
x | 'not relevant3'
x | 'not relevant4'
I would get the following rows back from my query:
event_type | some_value | previous_true
-------------------------------------
x | 'not relevant' | TRUE
x | 'not relevant2' | FALSE
x | 'not relevant3' | FALSE
x | 'not relevant4' | FALSE
I thought a join might do the trick but I can't figure out how that would work. LAG
also seemed like a good idea at first, but then I realized that LAG will take the previous row regardless of what it is and I'm not sure how I would use that.
Upvotes: 0
Views: 3903
Reputation: 172974
With BigQuery Standard SQL - try below
(make sure to uncheckUse Legacy SQL
checkbox under Show Options)
WITH YourTable AS (
SELECT 1 AS ts, 'y' AS event_type, 'true value' AS some_value UNION ALL
SELECT 2 AS ts, 'x' AS event_type, 'not relevant' AS some_value UNION ALL
SELECT 3 AS ts, 'y' AS event_type, 'false value' AS some_value UNION ALL
SELECT 4 AS ts, 'x' AS event_type, 'not relevant2' AS some_value UNION ALL
SELECT 5 AS ts, 'y' AS event_type, 'true value' AS some_value UNION ALL
SELECT 6 AS ts, 'y' AS event_type, 'false value' AS some_value UNION ALL
SELECT 7 AS ts, 'x' AS event_type, 'not relevant3' AS some_value UNION ALL
SELECT 8 AS ts, 'x' AS event_type, 'not relevant4' AS some_value
)
SELECT
event_type,
some_value,
(SELECT some_value = 'true value' FROM YourTable
WHERE event_type = 'y' AND ts < a.ts
ORDER BY ts DESC LIMIT 1
) AS previous_true
FROM YourTable AS a
WHERE event_type = 'x'
ORDER BY ts
Result is :
event_type some_value previous_true
x not relevant true
x not relevant2 false
x not relevant3 false
x not relevant4 false
For BigQuery Legacy SQL - try
SELECT
event_type, some_value,
previous_true = 'true value' AS previous_true
FROM (
SELECT
ts, event_type, some_value,
FIRST_VALUE(some_value) OVER(PARTITION BY grp ORDER BY ts) AS previous_true
FROM (
SELECT
ts, event_type, some_value,
SUM(step) OVER(ORDER BY ts) AS grp
FROM (
SELECT
ts, event_type, some_value,
IF(event_type = 'x' , 0, 1) AS step
FROM
(SELECT 1 AS ts, 'y' AS event_type, 'true value' AS some_value),
(SELECT 2 AS ts, 'x' AS event_type, 'not relevant' AS some_value),
(SELECT 3 AS ts, 'y' AS event_type, 'false value' AS some_value),
(SELECT 4 AS ts, 'x' AS event_type, 'not relevant2' AS some_value),
(SELECT 5 AS ts, 'y' AS event_type, 'true value' AS some_value),
(SELECT 6 AS ts, 'y' AS event_type, 'false value' AS some_value),
(SELECT 7 AS ts, 'x' AS event_type, 'not relevant3' AS some_value),
(SELECT 8 AS ts, 'x' AS event_type, 'not relevant4' AS some_value)
)
)
)
WHERE event_type = 'x'
ORDER BY ts
Upvotes: 2
Reputation: 1269553
Here is one method: You can use a max scan on "y" to get the id of the nearest y for each "x". Then use a join
for the calculation:
select t.*,
(case when some_value = 'necessary value' then 1 else 0 end) as previous_true
from (select t.*,
max(case when event_type = 'y' then id end) over (order by timestamp) as yid
from t
) t join
t ty
on ty.id = t.yid
where t.event_type = 'x';
I'm not sure about the exact role of id
and timestamp
. This version assumes that id
is uniformly increasing with respect to timestamp
. Alternatively, you could use timestamp
-- but it is unclear if that is sufficient for the join
.
Upvotes: 0