[
https://issues.apache.org/jira/browse/ASTERIXDB-1322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yingyi Bu updated ASTERIXDB-1322:
---------------------------------
Description:
The push project down is not done right regarding to subplans.
The following query will cause an compiler exception because of undefined
variables (which is projected away in the query plan subtree):
{noformat}
create type HRMType as closed {
row_id: int32,
sid: int32,
date: date,
day: int32,
time: time,
bpm: int32,
RR: float
};
create dataset HRM(HRMType) primary key row_id;
declare function median($x)
{
let $c := count($x)
return avg(
for $i at $p in (for $j in $x order by $j return $j)
where $p >= floor(($c-1)/2.0) and $p <= $c/2
return $i
)
}
declare function MAD($x)
{
let $m := median($x)
return median(for $j in $x order by abs($j-$m)) return abs($j-$m))
}
for $i in dataset HRM
group by $sid := $i.sid, $gdate := $i.date, $gday := $i.day,
$timebin := interval-bin($i.time, time("00:00:00"), day-time-duration("PT1M"))
with $i
return
{
"sid": $sid,
"gdate": $gdate,
"gday": $gday,
"timebin": $timebin,
"stdv": (avg(for $ii in $i return $ii.RR * $ii.RR) -
avg(for $ii in $i return $ii.RR) * avg(for $ii in $i return
$ii.RR))^(0.5),
"MAD": MAD(for $ii in $i return $ii.RR)
}
{nonformat}
A modified version of MAD can work:
{noformat}
declare function MAD($x)
{
median(for $j in $x order by abs($j-median($x)) return abs($j-median($x)))
}
{noformat}
was:
The push project down is not done right regarding to subplans.
The following query will cause an compiler exception because of undefined
variables (which is projected away in the query plan subtree):
{nonformat}
create type HRMType as closed {
row_id: int32,
sid: int32,
date: date,
day: int32,
time: time,
bpm: int32,
RR: float
};
create dataset HRM(HRMType) primary key row_id;
declare function median($x)
{
let $c := count($x)
return avg(
for $i at $p in (for $j in $x order by $j return $j)
where $p >= floor(($c-1)/2.0) and $p <= $c/2
return $i
)
}
declare function MAD($x)
{
let $m := median($x)
return median(for $j in $x order by abs($j-$m)) return abs($j-$m))
}
for $i in dataset HRM
group by $sid := $i.sid, $gdate := $i.date, $gday := $i.day,
$timebin := interval-bin($i.time, time("00:00:00"), day-time-duration("PT1M"))
with $i
return
{
"sid": $sid,
"gdate": $gdate,
"gday": $gday,
"timebin": $timebin,
"stdv": (avg(for $ii in $i return $ii.RR * $ii.RR) -
avg(for $ii in $i return $ii.RR) * avg(for $ii in $i return
$ii.RR))^(0.5),
"MAD": MAD(for $ii in $i return $ii.RR)
}
{nonformat}
A modified version of MAD can work:
{noformat}
declare function MAD($x)
{
median(for $j in $x order by abs($j-median($x)) return abs($j-median($x)))
}
{noformat}
Component/s: Optimizer
> Compiler exception for queries with complex UDFs
> ------------------------------------------------
>
> Key: ASTERIXDB-1322
> URL: https://issues.apache.org/jira/browse/ASTERIXDB-1322
> Project: Apache AsterixDB
> Issue Type: Bug
> Components: Optimizer
> Reporter: Yingyi Bu
> Assignee: Yingyi Bu
>
> The push project down is not done right regarding to subplans.
> The following query will cause an compiler exception because of undefined
> variables (which is projected away in the query plan subtree):
> {noformat}
> create type HRMType as closed {
> row_id: int32,
> sid: int32,
> date: date,
> day: int32,
> time: time,
> bpm: int32,
> RR: float
> };
> create dataset HRM(HRMType) primary key row_id;
> declare function median($x)
> {
> let $c := count($x)
> return avg(
> for $i at $p in (for $j in $x order by $j return $j)
> where $p >= floor(($c-1)/2.0) and $p <= $c/2
> return $i
> )
> }
> declare function MAD($x)
> {
> let $m := median($x)
> return median(for $j in $x order by abs($j-$m)) return abs($j-$m))
> }
> for $i in dataset HRM
> group by $sid := $i.sid, $gdate := $i.date, $gday := $i.day,
> $timebin := interval-bin($i.time, time("00:00:00"),
> day-time-duration("PT1M")) with $i
> return
> {
> "sid": $sid,
> "gdate": $gdate,
> "gday": $gday,
> "timebin": $timebin,
> "stdv": (avg(for $ii in $i return $ii.RR * $ii.RR) -
> avg(for $ii in $i return $ii.RR) * avg(for $ii in $i return
> $ii.RR))^(0.5),
> "MAD": MAD(for $ii in $i return $ii.RR)
> }
> {nonformat}
> A modified version of MAD can work:
> {noformat}
> declare function MAD($x)
> {
> median(for $j in $x order by abs($j-median($x)) return
> abs($j-median($x)))
> }
> {noformat}
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