- `INTERP` is used to get the value that matches the specified time slice from a column. If no such value exists an interpolation value will be returned based on `FILL` parameter.
- The input data of `INTERP` is the value of the specified column and a `where` clause can be used to filter the original data. If no `where` condition is specified then all original data is the input.
- `INTERP` must be used along with `RANGE`, `EVERY`, `FILL` keywords.
- The output time range of `INTERP` is specified by `RANGE(timestamp1,timestamp2)` parameter, with timestamp1<=timestamp2. timestamp1 is the starting point of the output time range and must be specified. timestamp2 is the ending point of the output time range and must be specified.
- The number of rows in the result set of `INTERP` is determined by the parameter `EVERY`. Starting from timestamp1, one interpolation is performed for every time interval specified `EVERY` parameter. The parameter `EVERY` must be an integer, with no quotes, with a time unit of: b(nanosecond), u(microsecond), a(millisecond)), s(second), m(minute), h(hour), d(day), or w(week). For example, `EVERY(500a)` will interpolate every 500 milliseconds.
- Interpolation is performed based on `FILL` parameter.
- The output time range of `INTERP` is specified by `RANGE(timestamp1,timestamp2)` parameter, with timestamp1 < timestamp2. timestamp1 is the starting point of the output time range and must be specified. timestamp2 is the ending point of the output time range and must be specified.
- The number of rows in the result set of `INTERP` is determined by the parameter `EVERY(time_unit)`. Starting from timestamp1, one interpolation is performed for every time interval specified `time_unit` parameter. The parameter `time_unit` must be an integer, with no quotes, with a time unit of: a(millisecond)), s(second), m(minute), h(hour), d(day), or w(week). For example, `EVERY(500a)` will interpolate every 500 milliseconds.
- Interpolation is performed based on `FILL` parameter. For more information about FILL clause, see [FILL Clause](./distinguished/#fill-clause).
- `INTERP` can only be used to interpolate in single timeline. So it must be used with `partition by tbname` when it's used on a STable.
- Pseudo column `_irowts` can be used along with `INTERP` to return the timestamps associated with interpolation points(support after version 3.0.1.4).
sql create table t1(ts timestamp, a int, b int , c int, d double, s varchar(20));;
sql create stream streams1 trigger at_once into streamt as select _wstart ts, count(*) c1 from t1 where ts > 1648791210000 and ts < 1648791413000 interval(10s) fill(value, 100);
sql create stream streams1a trigger at_once into streamta as select _wstart ts, count(*) c1 from t1 where ts > 1648791210000 and ts < 1648791413000 interval(10s) fill(value_f, 100);
sql insert into t1 values(1648791213000,1,2,3,1.0,'aaa');
sleep 100
sql insert into t1 values(1648791233000,1,2,3,1.0,'aaa');
...
...
@@ -77,6 +78,69 @@ if $data71 != 1 then
goto loop0
endi
print "force fill vaule"
$loop_count = 0
loop0a:
sleep 200
sql select * from streamta order by ts;
$loop_count = $loop_count + 1
if $loop_count == 10 then
return -1
endi
if $rows != 8 then
print =====rows=$rows
goto loop0a
endi
if $data01 != 1 then
print =====data01=$data01
goto loop0a
endi
if $data11 != 1 then
print =====data11=$data11
goto loop0a
endi
if $data21 != 1 then
print =====data21=$data21
goto loop0a
endi
if $data31 != 100 then
print =====data31=$data31
goto loop0a
endi
if $data41 != 1 then
print =====data41=$data41
goto loop0a
endi
if $data51 != 100 then
print =====data01=$data01
goto loop0a
endi
if $data61 != 100 then
print =====data61=$data61
goto loop0a
endi
if $data71 != 1 then
print =====data71=$data71
goto loop0a
endi
sql drop stream if exists streams2;
sql drop database if exists test2;
sql create database test2 vgroups 1;
...
...
@@ -408,6 +472,7 @@ sql create table t1 using st tags(1,1,1);
sql create table t2 using st tags(2,2,2);
sql create stream streams4 trigger at_once into streamt4 as select _wstart ts, count(*) c1, concat(tbname, 'aaa') as pname, timezone() from st where ts > 1648791000000 and ts < 1648793000000 partition by tbname interval(10s) fill(NULL);
sql create stream streams4a trigger at_once into streamt4a as select _wstart ts, count(*) c1, concat(tbname, 'aaa') as pname, timezone() from st where ts > 1648791000000 and ts < 1648793000000 partition by tbname interval(10s) fill(NULL_F);
sql insert into t1 values(1648791213000,1,2,3,1.0,'aaa');
sql insert into t1 values(1648791233000,1,2,3,1.0,'aaa');
sql insert into t1 values(1648791273000,1,2,3,1.0,'aaa');
...
...
@@ -512,32 +577,104 @@ if $data[12][3] == NULL then
sql2="select (case when sum(q_smallint)=0 then null else sum(q_smallint) end) from %s.stable_1_1 limit 100;"%database
self.constant_check(database,sql1,sql2,0)
#TD-20257
sql1="select tbname,first(ts),q_int,q_smallint,q_bigint,case when q_int <0 then 1 else 0 end from %s.stable_1 where tbname = 'stable_1_1' and ts < now partition by tbname state_window(case when q_int <0 then 1 else 0 end);"%database
sql2="select tbname,first(ts),q_int,q_smallint,q_bigint,case when q_int <0 then 1 else 0 end from %s.stable_1_1 where ts < now partition by tbname state_window(case when q_int <0 then 1 else 0 end);"%database
self.constant_check(database,sql1,sql2,0)
self.constant_check(database,sql1,sql2,1)
self.constant_check(database,sql1,sql2,2)
self.constant_check(database,sql1,sql2,3)
self.constant_check(database,sql1,sql2,4)
self.constant_check(database,sql1,sql2,5)
#TD-20260
sql1="select _wstart,avg(q_int),min(q_smallint) from %s.stable_1 where tbname = 'stable_1_1' and ts < now state_window(case when q_smallint <0 then 1 else 0 end);"%database
sql2="select _wstart,avg(q_int),min(q_smallint) from %s.stable_1_1 where ts < now state_window(case when q_smallint <0 then 1 else 0 end);"%database
