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It appears that Conditional Joins are not working when you join on more than one field. I am testing some fex files in our test WebFOCUS 8 Environment at version 8.0.2M. The following fex works fine in our 7.6.11 environment. Can some of you guys test this fex in your WebFocus Environemnts?
-* File error_cond_join_wf8.fex
SET ASNAMES = ON
SET HOLDLIST = PRINTONLY
TABLE FILE CAR
SUM
DEALER_COST
BY COUNTRY
BY CAR
ON TABLE HOLD AS HDEALER
END
-RUN
TABLE FILE CAR
SUM
RETAIL_COST
BY COUNTRY
BY CAR
ON TABLE HOLD AS HRETAIL
END
-RUN
JOIN CLEAR *
JOIN LEFT_OUTER
FILE HDEALER AT COUNTRY AND CAR TAG T1 TO ALL
FILE HRETAIL AT COUNTRY AND CAR TAG T2 AS J1
WHERE T1.COUNTRY EQ T2.COUNTRY;
WHERE T1.CAR EQ T2.CAR;
END
-RUN
TABLE FILE HDEALER
SUM
DEALER_COST
RETAIL_COST
BY COUNTRY
BY CAR
END
-RUN
Some screenshots
This message has been edited. Last edited by: Mighty Max,
Took out the multiple columns, worked, for this simple test.
SET ASNAMES = ON
SET HOLDLIST = PRINTONLY
TABLE FILE CAR
SUM
DEALER_COST
BY COUNTRY
BY CAR
ON TABLE HOLD AS HDEALER
END
-RUN
TABLE FILE CAR
SUM
RETAIL_COST
BY COUNTRY
BY CAR
ON TABLE HOLD AS HRETAIL
END
-RUN
JOIN CLEAR *
JOIN LEFT_OUTER
FILE HDEALER AT COUNTRY TAG T1 TO ALL
FILE HRETAIL AT COUNTRY TAG T2 AS J1
WHERE T1.COUNTRY EQ T2.COUNTRY;
WHERE T1.CAR EQ T2.CAR;
END
-RUN
TABLE FILE HDEALER
SUM
DEALER_COST
RETAIL_COST
BY COUNTRY
BY CAR
END
-RUN
This is called "code tightening". If you look at the documentation:
The syntax of the conditional (WHERE-based) JOIN command is
JOIN [LEFT_OUTER|INNER] FILE hostfile AT hfld1 [WITH hfld2] [TAG tag1]
TO {UNIQUE|MULTIPLE}
FILE crfile AT crfld [TAG tag2] [AS joinname]
[WHERE expression1;
[WHERE expression2;
...]
END
you can see that there is only one field after the "AT". Most probably WF7 was more forgiving...
Daniel In Focus since 1982 wf 8.202M/Win10/IIS/SSA - WrapApp Front End for WF
Posts: 1980 | Location: Tel Aviv, Israel | Registered: March 23, 2006
Thank you Tom and Danny. Appreciate all of your help. Issue is due to incorrect syntax being used. I've been using Conditional Joins more recently because they don't complain about indexes or data not being sorted or having to build a concatenated key. They just do the join.