SELECT "Rental".*, "Rental".ora_rowscn as TimeStamp FROM "Rental"
inner join "UserBranch" on "UserBranch"."fkBranchId" = "Rental"."fkBranchId"
WHERE "Rental"."IsDeleted"='N' ;
This query returns me invalid identifier exception in oracle 10g. I'm a beginner and don't know why the exception is coming. please help. Thank you.
Select "Rental".* ,"UserBranch"."fkBranchId", "Rental".ora_rowscn as TimeStamp from "Rental","UserBranch"
where "UserBranch"."fkBranchId" = "Rental"."fkBranchId"
and "Rental"."IsDeleted"='N';
without joins it works perfectly for me
Please try to get your values with the below query :
SELECT Rental.*, Rental.ora_rowscn as TimeStamp FROM Rental
inner join UserBranch on UserBranch.fkBranchId = Rental.fkBranchId
WHERE Rental.IsDeleted='N' ;
Related
I am relatively new to bigquery and think I have an aliasing problem but can't work out what it is. Essentially, I have two tables and while the first table has the majority of the required information the second table has a date of birth that I need to join. I have written the below query and the two initial SELECT statements work in isolation and appear to return the expected values. However, when attempting to join the two tables I get an error stating:
Unrecognized name: t1_teams at [10:60]
WITH table_1 AS (SELECT competition_name, stat_season_name,
matchdata_Date, t1_teams.name, t1_players.Position, CAST(REGEXP_REPLACE(t1_players.uID, r'[a-zA-Z]', '') AS NUMERIC) AS Player_ID1, t1_players.First, t1_players.Last
FROM `prod.feed1`,
UNNEST(teams) AS t1_teams, UNNEST(t1_teams.Players) as t1_players),
table_2 AS (SELECT t2_players.uID AS Player_ID2, t2_players.stat_birth_date
FROM `prod.feed2`,
UNNEST(players) AS t2_players)
SELECT competition_name, stat_season_name, matchdata_Date, t1_teams.name, t1_players.Position, t1_players.uID, t1_players.First, t1_players.Last, t2_players.stat_birth_date
FROM table_1
LEFT JOIN table_2
ON Player_ID1 = Player_ID2
WHERE competition_name = "EPL"
AND stat_season_name = "Season 2018/2019"
Any help in steering me in the right direction would be greatly appreciated as my reading of the bigquery documentation and other searches have drawn a blank.
The problem is here:
WITH table_1 AS (
SELECT
competition_name,
stat_season_name,
matchdata_Date,
-- this line
t1_teams.name,
...
You're selecting t1_teams.name, so you end up with just name an an output column from the select list. If you want to refer to t1_teams later, then select that instead:
WITH table_1 AS (
SELECT
competition_name,
stat_season_name,
matchdata_Date,
-- this line
t1_teams,
...
I've read numerous posts about this, and am unable to determine how my query differs from the ones whose questions were answered. Any help would be sincerely appreciated. Here is my query:
SELECT A.EMPLOYEE, COUNT(B.DEPENDENT)
FROM TABLE A
LEFT OUTER JOIN TABLE B ON A.EMP_ID = B.EMP_ID
WHERE A.EMP_ID = '12345'
AND B.DEP_RELATION = 'CHILD'
GROUP BY A.EMP_ID
I entered my own EMP_ID to check the query. I have no children, and the query is returning no results. I want it to show my EMP_ID and (null).
Your WHERE clause is checking table B.
Try removing AND B.DEP_RELATION = 'CHILD' and see if you get the results you want
I figured it out. I had to move my B.DEP_RELATION = 'CHILD' line above the WHERE clause. Thank you.
So I have a weird situation.
Whenever I run a sqlContext.sql with a inner join statement, I actually get an error but when I read the error, it looks like Spark has already automatically joined my two separate tables once it tries to execute the on statement.
Table1:
patient_id, code
Table2:
patient_id, date
Select code, date
from Table1
inner join Table2
on Table1.patient_id = Table2.patient_id <- exception shows the table is joined already by this point.
Any ideas about this behavior?
Error looks like thisish
org.apache.spark.sql.AnalysisException: cannot resolve 'Table2.patient_id' given input columns [patient_id, code, date]
I think that you have a typo in your program.
However, what you can do is the following:
tableOneDF.join(tableTwoDF, tableOneDF("patient_id") === tableTwoDF("patient_id"), "inner").select("code", "date")
whereas tableOneDF and tableTwoDF are two dataframes created on top of the two tables.
Just try it out, and see if it still happens.
Folks,
I've had a pretty thorough search before posting and couldn't see this answered anywhere previously. Perhaps it isn't possible.... I'm using SQL server 2008 R2
Anyway, thanks in advance for looking/helping.
I have two tables that I'd like to join.
Table1 (t1):
Account------Name--------Amount
12345-------account1-----10000.00
12346-------account2-----20000.00
Table2 (t2):
ID-----Account---extraData
10-----12345-----ZZ100
20-----12345-----ZZ250
30-----12345-----ZZ400
10-----12346-----ZZ150
20-----12346-----ZZ200
I'm trying to return the following from the above tables:
t1.Account---t1.Name------ID1(t2.ID=10)---ID2(td.ID=20)----SUM(Amount)
12345--------account1-------ZZ100------------ZZ250-------------10000.00
12346--------account2-------ZZ150------------ZZ200-------------20000.00
I have tried various joins of sorts and a union, but can't seem to get the results above. Most result in either nothing, or the Amount column returning as double the required result.
My starting point is:
Select t1.Account, t1.Name, t2A.extraData, t2B.extraData, SUM(t1.AMOUNT)
from table1 t1
join table2 t2A on t1.Account = t2A.Account and t2A.ID = '10'
join table2 t2B on t1.Account = t2B.Account and t2B.ID = '20'
Group by t1.Account, t1.Name, t2A.extraData, t2B.extraData
I've reduced the code and complexity of the query for this thread, but the problem is as above. I have no control over the table structure as they form part of an accounting system that I can't amend (I could, but I'd upset one or two people!).
Hopefully I've explained the issue clearly enough. It seems like it should be simple, but I can't seem to fathom it - perhaps I've just been staring too long. Anyway, thanks in advance for your assistance.
Edit: to change the code to reflect the first response highlighting a mistake in my posting.
Please try this. I think this helps you to achieve your result.
DECLARE #ids varchar(max)
SELECT #ids=STUFF((SELECT DISTINCT ', [' + CAST(ID AS VARCHAR(10))+']'
FROM t2
FOR XML PATH(''), TYPE)
.value('.','NVARCHAR(MAX)'),1,2,' ')
SELECT #ids
EXECUTE ('SELECT
Account,Name,'+#ids+',Amount
FROM
(SELECT t1.Account,Name,ID,ExtraData,SUM(Amount) AS Amount
FROM t1 t1 INNER JOIN t2 t2 ON t1.Account=t2.Account
GROUP BY t1.Account,Name,ID,ExtraData) AS SourceTable
PIVOT
(
MAX(ExtraData)
FOR ID IN ('+#ids+')
) AS PivotTable;')
I need assistance in formulating the correct approach to a query.
I have staff members that I need to give work to. If they're not available on a date, they're excluded from the group of staff members that can get work. I think it's clear what I'm trying to do, but it's incorrect syntax:
INNER JOIN mySchema."STAFF" S
ON RS.STAFF_ID = S.STAFF_ID
AND RS.STAFF_ID NOT IN (SELECT SU.STAFF_ID
FROM mySchema."STAFF_UNAVAIL" SU
WHERE SU.UNAVAIL_DT = OUTSTANDING_DATE)
Any ideas on how one could achieve a NOT IN in a join without actually doing it in the join?
put it in a where clause after the joins
INNER JOIN mySchema."STAFF" S
ON RS.STAFF_ID = S.STAFF_ID
...any other joins...
WHERE RS.STAFF_ID NOT IN (SELECT SU.STAFF_ID
FROM mySchema."STAFF_UNAVAIL" SU
WHERE SU.UNAVAIL_DT = OUTSTANDING_DATE)