I'm trying to execute the next query in MonetDB using "WITH":
with a as (select data_string from colombia.dim_tempo)
select
t.ano_mes
,f.sg_estado
,f.cod_produto
, sum(f.qtd_vendidas) as qtd_vendidas
, count(*) as fact_count
from colombia.fact_retail_market f, colombia.dim_tempo t
where f.cod_anomes = t.data_string
and t.data_string in (a.data_string)
group by
t.ano_mes
,f.sg_estado
,f.cod_produto ;
But always get this message:
What's wrong with the sentence?
The WHERE clause needs to be:
WHERE f.cod_anomes = t.data_string AND
t.data_string IN (SELECT data_string FROM a)
That is, IN needs to be followed by a subquery against the CTE.
Related
I'm calling a SQL query with a BigQuery API with Airflow. This query works perfectly fine in the BigQuery workspace but says I'm writing FROM FROM even though I'm not...
The logs say line 4, character 20 is where the error occurs which corresponds to:
, EXTRACT(DATE FROM event_time) AS session_date.
My overall query structure looks something like:
SELECT * FROM
((SELECT
fields_here
FROM table_name
LEFT JOIN UNNEST(sub_table) AS s
WHERE 1=1
UNION ALL
(SELECT
fields_here
FROM table_name
LEFT JOIN UNNEST(sub_table) AS s
WHERE 1=1
ORDER BY 1, 2))
ORDER BY 1, 2
I'm also using the LEAD() window function and COALESCE() but not sure if that matters. Really confused why this error is occurring...
Issue was not adding use_legacy_sql=False argument in Airflow
SELECT p.pnum, p.pname
FROM professor p, class c
WHERE p.pnum = c.pnum AND c.cnum = CS245 AND (SELECT COUNT(*) FROM (SELECT MAX(m.grade), MAX(m.grade) - MIN(m.grade) AS diff
FROM mark m WHERE m.cnum = c.cnum AND m.term = c.term AND m.section = c.section AND diff <= 20)) = 3
Incorrect syntax near ')'. Expecting AS, FOR_PATH, ID, or QUOTED_ID.
Consider the following example:
SELECT COUNT(1)
FROM SYSCAT.TABLES T
WHERE
(
-- SELECT COUNT(1)
-- FROM
-- (
SELECT COUNT(1)
FROM SYSCAT.COLUMNS C
WHERE C.TABSCHEMA=T.TABSCHEMA AND C.TABNAME=T.TABNAME
-- )
) > 50;
The query above works as is. But the problem is, that if you uncomment the commented out lines, you get the following error message: "T.TABNAME" is an undefined name. and least in Db2 for Linux, Unix and Windows.
You can't push external to the sub-select column references too deeply.
So, your query is incorrect.
It's hard to correct it, until you provide the task description with data sample and the result expected.
I can see a potential syntax errors: It seems that CS245 refers to a value c.cnum may take and not a column name. If that is the case, it should be enclosed in single quotes.
I have an issue that I'm hoping you can help me with. I am trying to create charting data for performance of an application that I am working on. The first step for me to perform two select statements with my feature turned off and on.
SELECT onSet.testName,
avg(onSet.elapsed) as avgOn,
0 as avgOff
FROM Results onSet
WHERE onSet.pll = 'On'
GROUP BY onSet.testName
union
SELECT offSet1.testName,
0 as avgOn,
avg(offSet1.elapsed) as avgOff
FROM Results offSet1
WHERE offSet1.pll = 'Off'
GROUP BY offSet1.testName
This gives me data that looks like this:
Add,0,11.4160277777777778
Add,11.413625,0
Delete,0,4.5245277777777778
Delete,4.0039861111111111,0
Evidently union is not the correct feature. Since the data needs to look like:
Add,11.413625,11.4160277777777778
Delete,4.0039861111111111,4.5245277777777778
I've been trying to get inner joins to work but I can't get the syntax to work.
Removing the union and trying to put this statement after the select statements also doesn't work. I evidently have the wrong syntax.
inner join xxx ON onSet.testName=offset1.testName
After getting the data to be like this I want to apply one last select statement that will subtract one column from another and give me the difference. So for me it's just one step at a time.
Thanks in advance.
-KAP
I think you can use a single query with conditional aggregation:
SELECT
testName,
AVG(CASE WHEN pll = 'On' THEN elapsed ELSE 0 END) AS avgOn,
AVG(CASE WHEN pll = 'Off' THEN elapsed ELSE 0 END) AS avgOff
FROM Results
GROUP BY testName
I just saw the filemaker tag and have no idea if this work there, but on MySQL I would try something along
SELECT testName, sum(if(pll = 'On',elapsed,0)) as sumOn,
sum(if(pll = 'On',1,0)) as numOn,
sum(if(pll ='Off',elapsed,0)) as sumOff,
sum(if(pll ='Off',1,0)) as numOff,
sumOn/numOn as avgOn,
sumOff/numOff as avgOff
FROM Results
WHERE pll = 'On' or pll='Off'
GROUP BY testName ;
If it works for you then this should be rather efficient as you do not need to join. If not, thumbs pressed that this triggers another idea.
The difficulty you have with the join you envisioned is that the filtering in the WHERE clause is performed after the join was completed. So, you would still not know what records to use to compute the averages. If the above is not implementable with FileMaker then check if nested queries work. You would then
SELECT testName, on.avg as avgOn, off.avg as avgOff
FROM ( SELECT ... FROM Results ...) as on, () as off
JOIN on.testName=off.testName
If that is also not possible then I would look for temporary tables.
OK guys... thanks for the help again. Here is the final answer. The statement below is FileMaker custom function that takes 4 arguments (platform, runID, model and user count. You can see the sql statement is specified. FileMaker executeSQL() function does not support nested select statements, does not support IF statements embedded in select statements (calc functions do of course) and finally does not support the SQL keyword VALUES. FileMaker does support the SQL keyword CASE which is a little more powerful but is a bit wordy. The select statement is in a variable named sql and result is placed in a variable named result. The ExecuteSQL() function works like a printf statement for param text so you can see the swaps do occur.
Let(
[
sql =
"SELECT testName, (sum( CASE WHEN PLL='On' THEN elapsed ELSE 0 END)) as sumOn,
sum( CASE WHEN PLL='On' THEN 1 ELSE 0 END) as countOn,
sum( CASE WHEN PLL='Off' THEN elapsed ELSE 0 END) as sumOff,
sum( CASE WHEN PLL='Off' THEN 1 ELSE 0 END) as countOff
FROM Results
WHERE Platform = ?
and RunID = ?
and Model = ?
and UserCnt = ?
GROUP BY testName";
result = ExecuteSQL ( sql ; "" ; ""
; platform
; runID
; model
; userCnt )
];
getAverages ( Result ; "" ; 2 )
)
For those interested the custom function looks like this:
getAverages( result, newList, pos )
Let (
[
curValues = Substitute( GetValue( data; pos ); ","; ¶ );
sumOn = GetValue( curValues; 2 ) ;
countOn = GetValue( curValues; 3 );
sumOff = GetValue( curValues; 4 );
countOff = GetValue( curValues; 5 );
avgOn = sumOn / countOn;
avgOff = sumOff / countOff
newItem = ((avgOff - avgOn) / avgOff ) * 100
];
newList & If ( pos > ValueCount( data); newList;
getAverages( data; If ( not IsEmpty( newList); ¶ ) & newItem; pos + 1 ))
)
I'm trying to execute the following query in SQL Server, but it's throwing an error. How can I fix it?
select
T.T_Email
from
Stu_Question S, Tutor_Answer T
where
S.S_Quest_Id = '4f7a1518-a765-40c0-ae53-3ee61eef6673'
and S.S_Quest_Id = T.S_Quest_Id
and (T_Email,T_Answer_Update_Status)
IN (T_Email, Select MAX(T_Answer_Update_Status)
from Tutor_Answer
where S_Quest_Id='4f7a1518-a765-40c0-ae53-3ee61eef6673'
group by T_Email)
and S.S_Quest_Update_Status = (Select MAX(S_Quest_Update_Status)
from Stu_Question
where S_Quest_Id='4f7a1518-a765-40c0-ae53-3ee61eef6673')
This is the offending part of your statement:
and (T_Email,T_Answer_Update_Status)
IN (T_Email, Select MAX(T_Answer_Update_Status)
from Tutor_Answer
where S_Quest_Id='4f7a1518-a765-40c0-ae53-3ee61eef6673'
group by T_Email)
What on earth are you trying to do here???
T-SQL's IN operator works on one column at a time - like this:
WHERE T_EMail IN (SELECT EMail FROM .....)
marc_s correctly pointed out the offending part of your query.
You'll have to try to convert that to a join instead. Here is how I would do it:
select T.T_Email
from Stu_Question S
join (select T_Email,
row_number() over (partition by S_Quest_Id order by S_Quest_Update_Status desc) as rn
from Tutor_Answer) T
on T.S_Quest_Id=S.S_Quest_Id
and T.rn = 1
where S.S_Quest_Id='4f7a1518-a765-40c0-ae53-3ee61eef6673'
AND S.S_Quest_Update_Status=(Select MAX(S_Quest_Update_Status)
from Stu_Question
where S_Quest_Id='4f7a1518-a765-40c0-ae53-3ee61eef6673')
Notice that you can definitely improve this further. But it should get you going.
I have a simple query in PostgreSQL which is ok when I run it without any query parameters :
select date_trunc('week', action_time),count(*) from event
group by date_trunc('week', action_time);
But if I try to send the 'week' as a parameter like this (in Java):
PreparedStatement statement = connection.prepareStatement
("select date_trunc(?, action_time),count(*) from event"
+ " group by date_trunc(?, action_time)");
statement.setString(1,"week");
statement.setString(2,"week");
statement.execute();
it'll throw the following error:
ERROR: column "event.action_time" must appear in the GROUP BY clause or
be used in an aggregate function
is this normal behavior ?
When the query is prepared there's no guarantee that you will bind the same value ('week') for both placeholders. If you don't, the query would be illegal, and that's why postgres doesn't allow preparing it.
One way around this could be to change your query so you only bind 'week' once, and use it from inside a subquery:
PreparedStatement statement = connection.prepareStatement
("select dt, count(*) from (select date_trunc(?, action_time) as dt "
+ "from event) s group by dt");
statement.setString(1,"week");
statement.execute();
I think this should work, but Postgres can be a bit finicky. For instance, the following does not work:
select date_trunc(val, now())
from (select 'week' as val) t
But this does:
select date_trunc(val, now())
from (select cast('week' as text) as val) t
You might check if this version works:
select date_trunc(datepart, action_time), count(*)
from event cross join
(select cast(? as text) as datepart) vars
group by date_trunc(datepart, action_time);
And then supply only one parameter.
Like Mureinik mentioned its because postgres cant prove the statement arguments are the same.
I was able to use a column alias to provide the argument once.
eg
select date_trunc(?, action_time), count(*) from event
group by date_trunc(?, action_time);
becomes
select date_trunc(?, action_time) as action_t, count(*) from event
group by action_t;