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Description
What happens?
The new automatic CTE materialization mechanism clashes with manually requesting a CTE to be materialized.
To Reproduce
Run
create table batch (
entity text,
start_ts timestamptz,
duration interval
)
;
create table active_events (
entity text,
start_ts timestamptz,
end_ts timestamptz
)
;
create table active_events as
with
new_events as materialized ( -- Does not make much sense in this example, but my original query was a union of a bunch of things
select
entity,
start_ts as start_ts,
start_ts + duration as end_ts
from
batch
), events_to_deduplicate as (
select
*
from -- We need to deduplicate events for old entites with new data
active_events old
semi join new_events new on
old.entity = new.entity
union all
select *
from
new_events
), combined_deduplicated_events as (
select
entity,
min(start_ts) as start_ts,
max(end_ts) as end_ts
from
events_to_deduplicate
group by
entity
), all_events as (
select
entity,
start_ts,
end_ts
from
combined_deduplicated_events
where
end_ts > start_ts
union all
select
*
from -- The data we did not need to deduplicate
active_events old
anti join new_events new on
old.entity = new.entity
)
select
*
from
combined_leases
;
and observe a Binder Error: Duplicate alias "new_events" in query!
Removing the materialized
clause makes the query pass.
OS:
Ubuntu x64 in WSL on Windows 11
DuckDB Version:
v1.1.0 fa5c2fe
DuckDB Client:
CLI
Hardware:
No response
Full Name:
Míma Hlaváček
Affiliation:
Arista Networks
What is the latest build you tested with? If possible, we recommend testing with the latest nightly build.
I have tested with a nightly build
Did you include all relevant data sets for reproducing the issue?
Not applicable - the reproduction does not require a data set
Did you include all code required to reproduce the issue?
- Yes, I have
Did you include all relevant configuration (e.g., CPU architecture, Python version, Linux distribution) to reproduce the issue?
- Yes, I have