Field or table alias is not allowed as an input of table functions
Hi,
I am trying to invoke a user defined table function through a SQL snippet like below.
SELECT (SELECT * FROM PKG_ORG_ORG_HAS_CHILDREN(org_id)) has_child
from PA_ORG_OWNER
where stud_id = 'np1';
But for some reason it will not accept column name as an IN parameter
Could not execute 'SELECT (SELECT * FROM PKG_ORG_ORG_HAS_CHILDREN(org_id)) has_child from PA_ORG_OWNER os where ...' in 2 ms 451 µs .
SAP DBTech JDBC: [7] (at 47): feature not supported: field or table alias is not allowed as an input of table functions: line 1 col 48 (at pos 47)
In general our product has a LOT of small Oracle PL/SQL functions that are invoked from SQL within application code. This is a huge bottleneck while migrating to HANA. Any best practice anyone can recommend for this issue?
-Thanks
nphana
Hi nphana,
Instead of using single function, you can create another function and Invoke the function and can use IN parameter.
Here is the example:
CREATE FUNCTION RAJ.MY_FUNC (I_VKORG NVARCHAR (4), I_VTWEG NVARCHAR (2),
I_SPART NVARCHAR (2), I_PARVW NVARCHAR (2), I_PARZA NVARCHAR (3) )
RETURNS TABLE (KUNNR NVARCHAR (10))
LANGUAGE SQLSCRIPT AS
BEGIN
RETURN
SELECT "ECC2HANA"."KNVP".KUNNR FROM "ECC2HANA"."KNVP"
WHERE "ECC2HANA"."KNVP".VKORG = :I_VKORG
AND "ECC2HANA"."KNVP".VTWEG = :I_VTWEG
AND "ECC2HANA"."KNVP".SPART = :I_SPART
AND "ECC2HANA"."KNVP".PARVW = :I_PARVW
AND "ECC2HANA"."KNVP".PARZA = :I_PARZA
END
SELECT * FROM RAJ.MY_FUNC('7500','10','00','AG','000');
Result is shown below:
Now I created another function so that I can use the result set of above function which is used as criteria for some other table.
I not used any input parameter for second function but can be used if required.
CREATE FUNCTION RAJ.FUNC_MY_FUNC ( )
RETURNS TABLE (NAME1 NVARCHAR (35))
LANGUAGE SQLSCRIPT AS
BEGIN
RETURN
SELECT "ECC2HANA"."KNA1".NAME1 FROM "ECC2HANA"."KNA1"
WHERE "ECC2HANA"."KNA1".KUNNR IN (SELECT * FROM RAJ.MY_FUNC('7500','10','00','AG','000'));
END;
Result is shown below:
Similarly you can do for your requirement.
Regards
Raj
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T2.cert_serial_num,
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T2.renewal_flag,
T2.archive_flag,
T1.time_received,
T1.downloaded,
T1.request_data,
V2.action,
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<ANOTHER VIEW> V2,
TAB2 T1,
TAB2 T2
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AND
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order by transaction_id;
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Here are the plans for each case.
I would be very interested in how you'd recognize which plan is the best and what are the derivatives.
I don't much (or rather anything!) what is 'card' values, 'cost' values etc which I believe are used to decide the best plan of the lot.
Thanks again
Note TAB1 and TAB2 are from view definition posted initially
1) Execution Plan for VIEW1 <<-- With ORDER BY" clause but no table ailas (order by transaction_id)
SQL> EXPLAIN PLAN FOR SELECT TO_CHAR(QT.TRANSACTION_ID), QT.POLICY_ID, QT.REQUEST_TYPE
2 FROM <VIEW1> QT WHERE QT.CERT_SERIAL_NUM=24293 AND
3 (QT.AUTH_GROUP_ID=0 OR QT.AUTH_GROUP_ID=1) AND ROWNUM <= 3 ORDER
4 BY TRANSACTION_ID ASC
5 /
Explained.
Elapsed: 00:00:01.00
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes | Cost |
| 0 | SELECT STATEMENT | | 3 | 195 | 17 |
|* 1 | COUNT STOPKEY | | | | |
| 2 | VIEW | VIEW1 | 17 | 1105 | 17 |
|* 3 | SORT ORDER BY STOPKEY | | 17 | 38573 | 17 |
| 4 | NESTED LOOPS | | 17 | 38573 | 10 |
| 5 | MERGE JOIN CARTESIAN | | 1 | 167 | 9 |
| 6 | VIEW | VIEW2 | 1 | 52 | 8 |
| 7 | SORT UNIQUE | | 1 | 156 | 8 |
| 8 | NESTED LOOPS | | 1 | 156 | 6 |
| 9 | NESTED LOOPS | | 1 | 143 | 6 |
| 10 | NESTED LOOPS OUTER | | 1 | 117 | 5 |
|* 11 | HASH JOIN | | 1 | 104 | 5 |
| 12 | NESTED LOOPS | | 1 | 52 | 2 |
|* 13 | TABLE ACCESS FULL | TAB3 | 1 | 39 | 2 |
|* 14 | INDEX UNIQUE SCAN | (PK_TAB4) | 1 | 13 | |
| 15 | TABLE ACCESS FULL | TAB5 | 82 | 4264 | 2 |
| 16 | VIEW PUSHED PREDICATE | View3 | 1 | 13 | |
| 17 | NESTED LOOPS | | 1 | 52 | 2 |
| 18 | NESTED LOOPS | | 1 | 39 | 2 |
|* 19 | INDEX UNIQUE SCAN | (PK_TAB6) | 1 | 13 | 1 |
|* 20 | INDEX RANGE SCAN | (PK_TAB7) | 1 | 26 | 1 |
|* 21 | INDEX UNIQUE SCAN | (PK_TAB8) | 1 | 13 | |
| 22 | TABLE ACCESS BY INDEX ROWID| TAB9 | 3 | 78 | 1 |
|* 23 | INDEX UNIQUE SCAN | (PK_TAB9) | 1 | | |
|* 24 | INDEX UNIQUE SCAN | (PK_TAB10)| 1 | 13 | |
| 25 | BUFFER SORT | | 1 | 115 | 9 |
| 26 | TABLE ACCESS BY INDEX ROWID | TAB2 | 1 | 115 | 1 |
|* 27 | INDEX RANGE SCAN | (TAB2_IDX2)| 1 | | |
|* 28 | TABLE ACCESS BY INDEX ROWID | TAB1 | 12 | 25224 | 1 |
|* 29 | INDEX UNIQUE SCAN | (PK_TAB1) | 1 | | |
Predicate Information (identified by operation id):
1 - filter(ROWNUM<=3)
3 - filter(ROWNUM<=3)
11 - access("TAB5"."PATH_ID"="TAB4"."PATH_ID")
13 - filter("TAB3"."AUTH_GROUP_ID"<>(-1) AND ("TAB3"."AUTH_GROUP_ID"=0 OR "TAB3"."AUTH_GROUP_ID"=1))
14 - access("TAB3"."PATH_ID"="TAB4"."PATH_ID")
19 - access("TAB5"."DOMAIN_ID"="TAB6"."DOMAIN_ID")
20 - access("TAB6"."DOMAIN_ID"="TAB7"."DOMAIN_ID")
21 - access("TAB7"."RULE_ID"="TAB8"."RULE_ID")
23 - access("TAB9"."POLICY_ID"="TAB5"."POLICY_ID")
24 - access("TAB9"."ASSOCIATED_FORM_ID"="TAB10"."FORM_ID")
27 - access("TAB2"."CERT_SERIAL_NUM"=24293)
28 - filter("View2"."POLICY_ID"="TAB1"."POLICY_ID")
29 - access("TAB1"."TRANSACTION_ID"="TAB2"."TRANSACTION_ID")
Note: cpu costing is off
54 rows selected.
Elapsed: 00:00:01.81
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 COLLECTION ITERATOR (PICKLER FETCH) OF 'DISPLAY'
Statistics
39 recursive calls
0 db block gets
629 consistent gets
0 physical reads
104 redo size
5169 bytes sent via SQL*Net to client
405 bytes received via SQL*Net from client
5 SQL*Net roundtrips to/from client
31 sorts (memory)
0 sorts (disk)
54 rows processed
2) Execution Plan for VIEW1 <<-- With ORDER BY" clause and table alias (order by TAB2.transaction_id)
SQL> explain plan for SELECT TO_CHAR(QT.TRANSACTION_ID), QT.POLICY_ID, QT.REQUEST_TYPE
2 FROM <VIEW1> QT WHERE QT.CERT_SERIAL_NUM=30003 AND
3 (QT.AUTH_GROUP_ID=0 OR QT.AUTH_GROUP_ID=1) AND ROWNUM <= 3 ORDER
4 BY TRANSACTION_ID ASC
5 /
Explained.
Elapsed: 00:00:10.20
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes | Cost |
| 0 | SELECT STATEMENT | | 3 | 195 | 14 |
| 1 | SORT ORDER BY | | 3 | 195 | 14 |
|* 2 | COUNT STOPKEY | | | | |
| 3 | VIEW | VIEW1 | 17 | 1105 | 13 |
| 4 | NESTED LOOPS | | 17 | 38573 | 13 |
| 5 | MERGE JOIN CARTESIAN | | 1 | 167 | 12 |
|* 6 | TABLE ACCESS BY INDEX ROWID | TAB2 | 1 | 115 | 4 |
| 7 | INDEX FULL SCAN | (TAB2_IDX) | 94 | | 1 |
| 8 | BUFFER SORT | | 1 | 52 | 8 |
| 9 | VIEW | VIEW2 | 1 | 52 | 8 |
| 10 | SORT UNIQUE | | 1 | 156 | 8 |
| 11 | NESTED LOOPS | | 1 | 156 | 6 |
| 12 | NESTED LOOPS | | 1 | 143 | 6 |
| 13 | NESTED LOOPS OUTER | | 1 | 117 | 5 |
|* 14 | HASH JOIN | | 1 | 104 | 5 |
| 15 | NESTED LOOPS | | 1 | 52 | 2 |
|* 16 | TABLE ACCESS FULL | TAB3 | 1 | 39 | 2 |
|* 17 | INDEX UNIQUE SCAN | (PK_TAB4) | 1 | 13 | |
| 18 | TABLE ACCESS FULL | TAB5 | 82 | 4264 | 2 |
| 19 | VIEW PUSHED PREDICATE | View3 | 1 | 13 | |
| 20 | NESTED LOOPS | | 1 | 52 | 2 |
| 21 | NESTED LOOPS | | 1 | 39 | 2 |
|* 22 | INDEX UNIQUE SCAN | (PK_TAB6) | 1 | 13 | 1 |
|* 23 | INDEX RANGE SCAN | (PK_TAB7) | 1 | 26 | 1 |
|* 24 | INDEX UNIQUE SCAN | (PK_TAB8) | 1 | 13 | |
| 25 | TABLE ACCESS BY INDEX ROWID| TAB9 | 3 | 78 | 1 |
|* 26 | INDEX UNIQUE SCAN | (PK_TAB9) | 1 | | |
|* 27 | INDEX UNIQUE SCAN | (PK_TAB10) | 1 | 13 | |
|* 28 | TABLE ACCESS BY INDEX ROWID | TAB1 | 12 | 25224 | 1 |
|* 29 | INDEX UNIQUE SCAN | (PK_TAB1) | 1 | | |
Predicate Information (identified by operation id):
2 - filter(ROWNUM<=3)
6 - filter("TAB2"."CERT_SERIAL_NUM"=30003)
14 - access("TAB5"."PATH_ID"="TAB4"."PATH_ID")
16 - filter("TAB3"."AUTH_GROUP_ID"<>(-1) AND ("TAB3"."AUTH_GROUP_ID"=0 OR "TAB3"."AUTH_GROUP_ID"=1))
17 - access("TAB3"."PATH_ID"="TAB4"."PATH_ID")
22 - access("TAB5"."DOMAIN_ID"="TAB6"."DOMAIN_ID")
23 - access("TAB6"."DOMAIN_ID"="TAB7"."DOMAIN_ID")
24 - access("TAB7"."RULE_ID"="TAB8"."RULE_ID")
26 - access("TAB9"."POLICY_ID"="TAB5"."POLICY_ID")
27 - access("TAB9"."ASSOCIATED_FORM_ID"="TAB10"."FORM_ID")
28 - filter("VIEW2"."POLICY_ID"="TAB1"."POLICY_ID")
29 - access("TAB1"."TRANSACTION_ID"="TAB2"."TRANSACTION_ID")
Note: cpu costing is off
53 rows selected.
Elapsed: 00:00:08.29
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 COLLECTION ITERATOR (PICKLER FETCH) OF 'DISPLAY'
Statistics
1079 recursive calls
0 db block gets
597 consistent gets
21 physical reads
0 redo size
5177 bytes sent via SQL*Net to client
405 bytes received via SQL*Net from client
5 SQL*Net roundtrips to/from client
63 sorts (memory)
0 sorts (disk)
53 rows processed
3) Execution Plan for VIEW1 <<-- Without any "ORDER BY" clause
SQL> explain plan for SELECT TO_CHAR(QT.TRANSACTION_ID), QT.POLICY_ID, QT.REQUEST_TYPE
2 FROM <VIEW1> QT WHERE QT.CERT_SERIAL_NUM=30003 AND
3 (QT.AUTH_GROUP_ID=0 OR QT.AUTH_GROUP_ID=1) AND ROWNUM <= 3 ORDER
4 BY TRANSACTION_ID ASC
5 /
Explained.
Elapsed: 00:00:10.20
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes | Cost |
| 0 | SELECT STATEMENT | | 3 | 213 | 11 |
| 1 | SORT ORDER BY | | 3 | 213 | 11 |
|* 2 | COUNT STOPKEY | | | | |
| 3 | NESTED LOOPS | | 17 | 1207 | 10 |
| 4 | MERGE JOIN CARTESIAN | | 1 | 32 | 9 |
| 5 | VIEW | VIEW2 | 1 | 26 | 8 |
| 6 | SORT UNIQUE | | 1 | 156 | 8 |
| 7 | NESTED LOOPS | | 1 | 156 | 6 |
| 8 | NESTED LOOPS | | 1 | 143 | 6 |
| 9 | NESTED LOOPS OUTER | | 1 | 117 | 5 |
|* 10 | HASH JOIN | | 1 | 104 | 5 |
| 11 | NESTED LOOPS | | 1 | 52 | 2 |
|* 12 | TABLE ACCESS FULL | TAB3 | 1 | 39 | 2 |
|* 13 | INDEX UNIQUE SCAN | PK_TAB4 | 1 | 13 | |
| 14 | TABLE ACCESS FULL | TAB5 | 82 | 4264 | 2 |
| 15 | VIEW PUSHED PREDICATE | VIEW3 | 1 | 13 | |
| 16 | NESTED LOOPS | | 1 | 52 | 2 |
| 17 | NESTED LOOPS | | 1 | 39 | 2 |
|* 18 | INDEX UNIQUE SCAN | PK_TAB6 | 1 | 13 | 1 |
|* 19 | INDEX RANGE SCAN | PK_TAB7 | 1 | 26 | 1 |
|* 20 | INDEX UNIQUE SCAN | PK_TAB8 | 1 | 13 | |
| 21 | TABLE ACCESS BY INDEX ROWID| TAB9 | 3 | 78 | 1 |
|* 22 | INDEX UNIQUE SCAN | PK_TAB9 | 1 | | |
|* 23 | INDEX UNIQUE SCAN | PK_TAB10 | 1 | 13 | |
| 24 | BUFFER SORT | | 1 | 6 | 9 |
| 25 | TABLE ACCESS BY INDEX ROWID | TAB2 | 1 | 6 | 1 |
|* 26 | INDEX RANGE SCAN | TAB2_IDX2 | 1 | | |
|* 27 | TABLE ACCESS BY INDEX ROWID | TAB1 | 12 | 468 | 1 |
|* 28 | INDEX UNIQUE SCAN | PK_TAB1 | 1 | | |
Predicate Information (identified by operation id):
2 - filter(ROWNUM<=3)
10 - access("TAB5"."PATH_ID"="TAB4"."PATH_ID")
12 - filter("TAB3"."AUTH_GROUP_ID"<>(-1) AND ("TAB3"."AUTH_GROUP_ID"=0 OR "TAB3"."AUTH_GROUP_ID"=1))
13 - access("TAB3"."PATH_ID"="TAB4"."PATH_ID")
18 - access("TAB5"."DOMAIN_ID"="TAB6"."DOMAIN_ID")
19 - access("TAB6"."DOMAIN_ID"="TAB7"."DOMAIN_ID")
20 - access("TAB7"."RULE_ID"="TAB8"."RULE_ID")
22 - access("TAB9"."POLICY_ID"="TAB5"."POLICY_ID")
23 - access("TAB9"."ASSOCIATED_FORM_ID"="TAB10"."FORM_ID")
26 - access("TAB2"."CERT_SERIAL_NUM"=1022)
27 - filter("VIEW2"."POLICY_ID"="TAB1"."POLICY_ID")
28 - access("TAB1"."TRANSACTION_ID"="TAB2"."TRANSACTION_ID")
Note: cpu costing is off
52 rows selected.
Elapsed: 00:00:03.37
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 COLLECTION ITERATOR (PICKLER FETCH) OF 'DISPLAY'
Statistics
38 recursive calls
0 db block gets
287 consistent gets
0 physical reads
0 redo size
5006 bytes sent via SQL*Net to client
405 bytes received via SQL*Net from client
5 SQL*Net roundtrips to/from client
29 sorts (memory)
0 sorts (disk)
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thanks in advance.
sghi SG,
first and foremost thing while using field exit is, ask your basis person to include the parameter abap/fieldexit = Y in your instance profile.
Otherwise u can't use the field exits.
Regards....
Arun.
Reward points if useful.
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