Need help converting SQL "OVER (PARTITION BY )" to JPQL equivalent - JPA
Having trouble converting this query:
select
sdi,
val,
vldtn,
TO_CHAR(sdt, 'yyyy-mm-dd hh:mi:ss AM')
from
select
sdi,
val,
vldtn,
sdt,
max(sdt) over (partition by sdi) as MaxDate1
from
r_ins
) x
where x.sdt = x.MaxDate1
and sdi in (1234,2345,3456,4567,5678,6789,7890);
to JPQL equivalent using JPA
Able to convert simple queries but I do not know how to handle the "over (partition by sdi)" portion of the query.
Can anyone help
TIA
Jer
Paul Horth wrote:
Why have the power (and cost) of Oracle and then not use those powerful features because you are restricting yourself to a vanilla set of SQL because you are using some generic framework.You know how it is :
1 - Application developers create code & queries but only test them on tiny database with low volume and no concurrency at all.
2 - Application goes Live, Database grows (as expected) but stupid optimizer is not as fast as on test environment (that was mostly empty)
3 - Queries are now 200 times slower.
4 - Expensive DB expert comes and gathers statistics, creates indexes, rewrites queries, uses hint/outline/SQLprofile.
Conclusion : Database is evil and prevent application from working efficiently, the proof of all that being : nothing had to be done on application's side to make things work correctly. Database is declared guilty.
Which could translate to :
1 - Team buy a formula one with 800HP that can reach 200mph in less than 10 seconds.
2 - Give it a pilot that doesn't even want to understand what-the-heck is a gearbox/transmission. Pilot only drives in 1st gear.
3 - The formula one is now doing 0.003 miles per gallon, doing the hell of a noise, and is limited to 80mph +(any $10000 family wagon is faster in average)+
4 - Expensive expert comes and check everything in the formula one. Finally understand the problem and modify the gearbox to a sloppy automatic transmission
Conclusion : Formula 1 is evil and prevent pilot from being fast. The proof of that being : nothing had to be changed on pilot's side to make things work correctly. Formula 1 is declared guilty.
You cannot win race without understanding how the car/engine/transmission/physics/race rules work.
Too much levels of abstraction is bad. Treating the database as a black box is the most seen "Bad Idea" these days (to my point of view).
Warning: I am biased towards Oracle :-)And so am I.
(^_^)
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Hello Gurus,
I would really appreciate your time and effort regarding this query. I have the following data set.
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1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*20.00*-------------19
1234567----------11223--------------7/5/2008-----------Adjustment for bad quality---------44345563------------------A-----------------10.00------------19
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The query should return the following data set
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The following is my query. I am kind of lost.
select B.Description, A.sequence_id,A.check_date, A.check_number, A.invoice_number, A.amount, A.vendor_number
from (
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from INVOICE
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SELECT PERS_NBR, PAY_ID, PAY_CODE, LOGICAL_DATE, LOGICAL_DATE AS END_DATE, PCNAMES + REPLICATE(',', 39 - (LEN(PCNAMES) - LEN(REPLACE(PCNAMES, ',', ''))))
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FROM T_PAY_CAT_RECORD B
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B.LOGICAL_DATE = A.LOGICAL_DATE FOR XML path(''), elements), 2, 500)
FROM T_PAY_CAT_RECORD A, T_PERSON P
WHERE A.PERS_NBR = P.NBR) FINAL
Edited by: 919969 on Mar 9, 2012 3:45 PMHello
Like any language you need to understand what the messages coming from the syntax check are saying...
XXXX> SELECT PERS_NBR,
2 PAY_ID,
3 PAY_CODE,
4 LOGICAL_DATE,
5 LOGICAL_DATE AS END_DATE,
6 PCNAMES || LPAD(',', 39 - (LENGTH(PCNAMES) - NVL(LENGTH(REPLACE(PCNAMES,',')),0)),',') AS PC_NAMES_FINAL
7 FROM (
8 SELECT PAY_ID,
9 PAY_CODE,
10 PERS_NBR,
11 LOGICAL_DATE,
12 SUBSTR(
13 RTRIM(XMLAGG(XMLELEMENT(e,PC_NAME || ',' || SUBSTR(VALUE,1,LEN(VALUE) - 2),',').EXTRACT('//text()')),',') PCNAMES
14 2,
15 500
16 )
17 FROM (
18 SELECT A.PAY_ID,
19 A.PAY_CODE,
20 A.PERS_NBR,
21 A.LOGICAL_DATE,
22 A.PC_NAME,
23 ROW_NUMBER() OVER(PARTITION BY A.PERS_NBR,A.LOGICAL_DATE ORDER BY 1) RN
24 FROM T_PAY_CAT_RECORD A,
25 T_PERSON P
26 WHERE A.PERS_NBR = P.NBR
27 )
28 WHERE RN <= 10
29 GROUP BY PAY_ID,
30 PAY_CODE,
31 PERS_NBR,
32 LOGICAL_DATE
33 ) FINAL
34 /
RTRIM(XMLAGG(XMLELEMENT(e,PC_NAME || ',' || SUBSTR(VALUE,1,LEN(VALUE) - 2),',').EXTRACT('//text()')),',') PCNAMES
ERROR at line 13:
ORA-00907: missing right parenthesisIf you use something like SQL*Plus or SQL Developer, they will give you the error stack which will point you to the source of the problem.
It's saying missing right parenthesis. Start by finding out if we've got all out matching brackets. Counting from the start of that statement i.e. SUBSTR on line 12, we have 7 open brackets and 6 close brackets. So there does appear to be a problem with brackets. However if we take a step back and look at lines 12 to 16, this is actually a single statement. It's a call to the SUBSTR function and within it it has calls to RTRIM, XMLAGG etc. For the statement as a whole there are the same number of left and right parenthesis so the problem is related to something else. Something that is leading the syntax check to think it has reached the end of a statement and hasn't found enough closing parethesis.
The issue here appears to be that we have the token PCNAMES at the end of line 13 but syntactically that's not correct. We can't have that token there because it's appearing in the middle of a function call. PCTNAMES is actually a column alias but it's just in the wrong place. We need it to be an alias for the whole expression from line 12 to 16. So make the change and see what happens...
XXXX> select PERS_NBR,
2 PAY_ID,
3 PAY_CODE,
4 LOGICAL_DATE,
5 LOGICAL_DATE AS END_DATE,
6 PCNAMES || LPAD(',', 39 - (LENGTH(PCNAMES) - NVL(LENGTH(REPLACE(PCNAMES,',')),0)),',') AS PC_NAMES_FINAL
7 FROM (
8 SELECT PAY_ID,
9 PAY_CODE,
10 PERS_NBR,
11 LOGICAL_DATE,
12 SUBSTR(
13 RTRIM(XMLAGG(XMLELEMENT(e,PC_NAME || ',' || SUBSTR(VALUE,1,LEN(VALUE) - 2),',').EXTRACT('//text()')),',')
14 2,
15 500
16 ) PCNAMES
17 FROM (
18 SELECT A.PAY_ID,
19 A.PAY_CODE,
20 A.PERS_NBR,
21 A.LOGICAL_DATE,
22 A.PC_NAME,
23 ROW_NUMBER() OVER(PARTITION BY A.PERS_NBR,A.LOGICAL_DATE ORDER BY 1) RN
24 FROM T_PAY_CAT_RECORD A,
25 T_PERSON P
26 WHERE A.PERS_NBR = P.NBR
27 )
28 WHERE RN <= 10
29 GROUP BY PAY_ID,
30 PAY_CODE,
31 PERS_NBR,
32 LOGICAL_DATE
33 ) FINAL
34 /
2,
ERROR at line 14:
ORA-00907: missing right parenthesisNOw we've got a new error. Again it's saying we've got a missing parenthesis but this time on line 14. The issue here is that line 13 is a parameter to the SUBSTR function but there is no comma on the end. What we actually have at the moment is a line that looks like so
RTRIM(XMLAGG(XMLELEMENT(e,PC_NAME || ',' || SUBSTR(VALUE,1,LEN(VALUE) - 2),',').EXTRACT('//text()')),',') 2,Which is just not formed correctly. We need a comma at the end of line 13 to state that this is the end of that line as a parameter.
XXXX> select PERS_NBR,
2 PAY_ID,
3 PAY_CODE,
4 LOGICAL_DATE,
5 LOGICAL_DATE AS END_DATE,
6 PCNAMES || LPAD(',', 39 - (LENGTH(PCNAMES) - NVL(LENGTH(REPLACE(PCNAMES,',')),0)),',') AS PC_NAMES_FINAL
7 FROM (
8 SELECT PAY_ID,
9 PAY_CODE,
10 PERS_NBR,
11 LOGICAL_DATE,
12 SUBSTR(
13 RTRIM(XMLAGG(XMLELEMENT(e,PC_NAME || ',' || SUBSTR(VALUE,1,LEN(VALUE) - 2),',').EXTRACT('//text()')),','),
14 2,
15 500
16 ) PCNAMES
17 FROM (
18 SELECT A.PAY_ID,
19 A.PAY_CODE,
20 A.PERS_NBR,
21 A.LOGICAL_DATE,
22 A.PC_NAME,
23 ROW_NUMBER() OVER(PARTITION BY A.PERS_NBR,A.LOGICAL_DATE ORDER BY 1) RN
24 FROM T_PAY_CAT_RECORD A,
25 T_PERSON P
26 WHERE A.PERS_NBR = P.NBR
27 )
28 WHERE RN <= 10
29 GROUP BY PAY_ID,
30 PAY_CODE,
31 PERS_NBR,
32 LOGICAL_DATE
33 ) FINAL
34 /
T_PERSON P
ERROR at line 25:
ORA-00942: table or view does not existNow we have a new error but this time it's because I don't have the t_person table on my database. Syntactically the statement above is now correct so it should work on your system.
HTH
David
Edited by: Bravid on Mar 12, 2012 10:20 AM -
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I am giving some backgroud about this sql tuning requirement, this sql is newly developed in and currently is in UAT phase, we don't have much option for tuning code here since the sql is tool generated through COGNOS DataMart tool, options are there to look into from DBA end with plan level or creating indexes on suitible columns to reduce i/o in minimizing the rows traversing by the sql.
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WITH "WCRS_CLAIM_DETAIL_VW5"
AS (SELECT "WCRS_CLAIM_DETAIL_VW"."CLAIM_DETAIL_PK_ID"
"CLAIM_DETAIL_PK_ID",
"WCRS_CLAIM_DETAIL_VW"."CLAIM_ID" "CLAIM_ID",
"WCRS_CLAIM_DETAIL_VW"."CURRENT_SNAPSHOT_IND"
"CURRENT_SNAPSHOT_IND",
"WCRS_CLAIM_DETAIL_VW"."LOSS_DT" "LOSS_DT",
"WCRS_CLAIM_DETAIL_VW"."REGULATORY_STATE_CD"
"REGULATORY_STATE_CD"
FROM "CDW_DLV_IDS"."WCRS_CLAIM_DETAIL_VW" "WCRS_CLAIM_DETAIL_VW"
WHERE "WCRS_CLAIM_DETAIL_VW"."CURRENT_SNAPSHOT_IND" = 'Y'),
"WCRS_POLICY_DETAIL_VW7"
AS (SELECT "WCRS_POLICY_DETAIL_VW"."CLAIM_NBR" "CLAIM_NBR",
"WCRS_POLICY_DETAIL_VW"."CLAIM_SYMBOL_CD" "CLAIM_SYMBOL_CD",
"WCRS_POLICY_DETAIL_VW"."CURRENT_SNAPSHOT_IND"
"CURRENT_SNAPSHOT_IND",
"WCRS_POLICY_DETAIL_VW"."KEY_OFFICE_CD" "KEY_OFFICE_CD",
"WCRS_POLICY_DETAIL_VW"."POLICY_NBR" "POLICY_NBR"
FROM "CDW_DLV_IDS"."WCRS_POLICY_DETAIL_VW" "WCRS_POLICY_DETAIL_VW"
WHERE "WCRS_POLICY_DETAIL_VW"."CURRENT_SNAPSHOT_IND" = 'Y')
SELECT /*+ gather_plan_statistics monitor bind_aware */
/* ^^unique_id */
"T0"."C0" "Account_Name",
"T0"."C1" "Accident_State_Cd",
"T0"."C2" "c3",
"T0"."C3" "PPO_Name",
"T0"."C4" "Invc_Classification_Type_Desc",
FIRST_VALUE (
"T0"."C5")
OVER (
PARTITION BY "T0"."C0",
"T0"."C1",
"T0"."C2",
"T0"."C3",
"T0"."C4",
"T0"."C6")
"Claim_Cnt___Distinct",
"T0"."C7" "Invc_Control_Number",
"T0"."C8" "Invc_Allowance_Amt",
"T0"."C9" "Invc_Charge_Amt",
"T0"."C10" "c10",
"T0"."C11" "PPO_Reduction_Amt",
"T0"."C12" "Dup_Ln_Save_Amt",
"T0"."C13" "c13",
"T0"."C14" "Sub_Total",
"T0"."C15" "c15",
"T0"."C6" "c16"
FROM (SELECT "T1"."C0" "C0",
"T1"."C1" "C1",
"T1"."C2" "C2",
"T1"."C3" "C3",
"T1"."C4" "C4",
"T1"."C6" "C5",
"T1"."C5" "C6",
"T0"."C0" "C7",
"T1"."C7" "C8",
"T1"."C8" "C9",
"T1"."C9" "C10",
"T1"."C10" "C11",
"T1"."C11" "C12",
"T1"."C12" "C13",
"T1"."C13" "C14",
"T1"."C14" "C15"
FROM (SELECT COUNT (DISTINCT "INVC_DIM_VW"."INVC_ID") "C0"
FROM "CDW_DLV_IDS"."WCRS_POLICY_GROUPING_VW" "WCRS_POLICY_GROUPING_VW",
"WCRS_CLAIM_DETAIL_VW5",
"EDW_DM"."INVC_DIM_VW" "INVC_DIM_VW",
"EDW_DM"."PROVIDER_NETWORK_DIM_VW" "PROVIDER_NETWORK_DIM_VW",
"EDW_DM"."INVC_ACTY_SNPSHT_FACT_VW" "INVC_ACTY_SNPSHT_FACT_VW6",
"EDW_DM"."CURRENT_MED_INVC_RPT_DT_VW" "CURRENT_MED_INVC_RPT_DT_VW",
"EDW_DM"."ALL_INVC_SNPSHT_FACT_VW" "ALL_INVC_SNPSHT_FACT_VW",
"CDW_DLV_IDS"."WCRS_CURRENT_CLAIM_RPT_DT_VW" "WCRS_CURRENT_CLAIM_RPT_DT_VW",
"CDW_DLV_IDS"."WCRS_CLAIM_FACT_VW" "WCRS_CLAIM_FACT_VW",
"WCRS_POLICY_DETAIL_VW7",
"EDW_DM"."INVC_CLAIM_DTL_BRDG_FACT_VW" "INVC_CLAIM_DTL_BRDG_FACT_VW"
WHERE "INVC_DIM_VW"."INVC_DELETION_IND" <> 'Y'
AND "INVC_DIM_VW"."INVC_CONSIDRTN_TYPE_DESC" =
'Original'
AND "CURRENT_MED_INVC_RPT_DT_VW"."CURRENT_MONTH_RPT_DT" =
"ALL_INVC_SNPSHT_FACT_VW"."AS_OF_MONTH_END_DT_PK_ID"
AND "WCRS_CURRENT_CLAIM_RPT_DT_VW"."CURRENT_CLAIM_RPT_DT" =
"WCRS_CLAIM_FACT_VW"."CLAIM_REPORTING_DT"
AND "WCRS_POLICY_GROUPING_VW"."ACCOUNT_NM" =
CAST ('1ST TEAM STAFFING SERVICES, INC.' AS VARCHAR (50 CHAR))
AND "WCRS_POLICY_DETAIL_VW7"."POLICY_NBR" =
"WCRS_POLICY_GROUPING_VW"."POLICY_IDENTIFIER"
AND "WCRS_POLICY_DETAIL_VW7"."CLAIM_NBR" =
"WCRS_CLAIM_FACT_VW"."CLAIM_NBR"
AND "WCRS_POLICY_DETAIL_VW7"."CLAIM_SYMBOL_CD" =
"WCRS_CLAIM_FACT_VW"."CLAIM_SYMBOL_CD"
AND "WCRS_POLICY_DETAIL_VW7"."KEY_OFFICE_CD" =
"WCRS_CLAIM_FACT_VW"."KEY_OFFICE_CD"
AND "WCRS_POLICY_DETAIL_VW7"."CURRENT_SNAPSHOT_IND" =
'Y'
AND "WCRS_CLAIM_FACT_VW"."CLAIM_DETAIL_PK_ID" =
"WCRS_CLAIM_DETAIL_VW5"."CLAIM_DETAIL_PK_ID"
AND "WCRS_CLAIM_DETAIL_VW5"."CURRENT_SNAPSHOT_IND" =
'Y'
AND "WCRS_CLAIM_FACT_VW"."CLAIM_GID" =
"INVC_CLAIM_DTL_BRDG_FACT_VW"."CLM_GID"
AND "INVC_CLAIM_DTL_BRDG_FACT_VW"."INVC_GID" =
"INVC_DIM_VW"."INVC_GID"
AND "INVC_DIM_VW"."INVC_PK_ID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_PK_ID"
AND "ALL_INVC_SNPSHT_FACT_VW"."MONTH_END_DT_PK_ID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."MONTH_END_DT_PK_ID"
AND "ALL_INVC_SNPSHT_FACT_VW"."INVC_GID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_GID"
AND "PROVIDER_NETWORK_DIM_VW"."PROVIDER_NETWORK_PK_ID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."PPO_PROVIDER_NETWORK_PK_ID"
AND "WCRS_CURRENT_CLAIM_RPT_DT_VW"."CURRENT_CLAIM_RPT_DT" =
"WCRS_CLAIM_FACT_VW"."CLAIM_REPORTING_DT") "T0",
( SELECT "WCRS_POLICY_GROUPING_VW"."ACCOUNT_NM" "C0",
"WCRS_CLAIM_DETAIL_VW5"."REGULATORY_STATE_CD" "C1",
CASE
WHEN "INVC_DIM_VW"."INVC_IN_OUT_OF_NETWORK_IND" =
'Y'
THEN
'In - Network'
WHEN "INVC_DIM_VW"."INVC_IN_OUT_OF_NETWORK_IND" =
'N'
THEN
'Out - Network'
ELSE
'Others'
END
"C2",
"PROVIDER_NETWORK_DIM_VW"."PROVIDER_NETWORK_NM" "C3",
"INVC_DIM_VW"."INVC_CLASS_TYPE_DESC" "C4",
CASE
WHEN (EXTRACT (
YEAR FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT"))
IS NULL)
OR (EXTRACT (
MONTH FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT"))
IS NULL)
THEN
NULL
ELSE
( EXTRACT (
YEAR FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT"))
|| EXTRACT (
MONTH FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT")))
END
"C5",
COUNT (DISTINCT "WCRS_CLAIM_DETAIL_VW5"."CLAIM_ID")
"C6",
SUM ("INVC_ACTY_SNPSHT_FACT_VW6"."INVC_ALWC_AMT") "C7",
SUM ("INVC_ACTY_SNPSHT_FACT_VW6"."INVC_CHRGS_AMT")
"C8",
SUM (
"INVC_ACTY_SNPSHT_FACT_VW6"."TOT_INVC_REVIEW_RULE_ALWC_AMT")
"C9",
SUM ("INVC_ACTY_SNPSHT_FACT_VW6"."INVC_PPO_REDUC_AMT")
"C10",
SUM ("INVC_ACTY_SNPSHT_FACT_VW6"."INVC_DUP_REDUC_AMT")
"C11",
SUM ("INVC_ACTY_SNPSHT_FACT_VW6"."INVC_OSR_REDUC_AMT")
"C12",
( SUM (
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_CHRGS_AMT")
- SUM ("INVC_ACTY_SNPSHT_FACT_VW6"."INVC_ALWC_AMT"))
- SUM (
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_DUP_REDUC_AMT")
"C13",
SUM (
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_CLNT_SPEC_REDUC_AMT")
"C14"
FROM "CDW_DLV_IDS"."WCRS_POLICY_GROUPING_VW" "WCRS_POLICY_GROUPING_VW",
"WCRS_CLAIM_DETAIL_VW5",
"EDW_DM"."INVC_DIM_VW" "INVC_DIM_VW",
"EDW_DM"."PROVIDER_NETWORK_DIM_VW" "PROVIDER_NETWORK_DIM_VW",
"EDW_DM"."INVC_ACTY_SNPSHT_FACT_VW" "INVC_ACTY_SNPSHT_FACT_VW6",
"EDW_DM"."CURRENT_MED_INVC_RPT_DT_VW" "CURRENT_MED_INVC_RPT_DT_VW",
"EDW_DM"."ALL_INVC_SNPSHT_FACT_VW" "ALL_INVC_SNPSHT_FACT_VW",
"CDW_DLV_IDS"."WCRS_CURRENT_CLAIM_RPT_DT_VW" "WCRS_CURRENT_CLAIM_RPT_DT_VW",
"CDW_DLV_IDS"."WCRS_CLAIM_FACT_VW" "WCRS_CLAIM_FACT_VW",
"WCRS_POLICY_DETAIL_VW7",
"EDW_DM"."INVC_CLAIM_DTL_BRDG_FACT_VW" "INVC_CLAIM_DTL_BRDG_FACT_VW"
WHERE "INVC_DIM_VW"."INVC_DELETION_IND" <> 'Y'
AND "INVC_DIM_VW"."INVC_CONSIDRTN_TYPE_DESC" =
'Original'
AND "CURRENT_MED_INVC_RPT_DT_VW"."CURRENT_MONTH_RPT_DT" =
"ALL_INVC_SNPSHT_FACT_VW"."AS_OF_MONTH_END_DT_PK_ID"
AND "WCRS_CURRENT_CLAIM_RPT_DT_VW"."CURRENT_CLAIM_RPT_DT" =
"WCRS_CLAIM_FACT_VW"."CLAIM_REPORTING_DT"
AND "WCRS_POLICY_GROUPING_VW"."ACCOUNT_NM" =
CAST ('1ST TEAM STAFFING SERVICES, INC.' AS VARCHAR (50 CHAR))
AND "WCRS_POLICY_DETAIL_VW7"."POLICY_NBR" =
"WCRS_POLICY_GROUPING_VW"."POLICY_IDENTIFIER"
AND "WCRS_POLICY_DETAIL_VW7"."CLAIM_NBR" =
"WCRS_CLAIM_FACT_VW"."CLAIM_NBR"
AND "WCRS_POLICY_DETAIL_VW7"."CLAIM_SYMBOL_CD" =
"WCRS_CLAIM_FACT_VW"."CLAIM_SYMBOL_CD"
AND "WCRS_POLICY_DETAIL_VW7"."KEY_OFFICE_CD" =
"WCRS_CLAIM_FACT_VW"."KEY_OFFICE_CD"
AND "WCRS_POLICY_DETAIL_VW7"."CURRENT_SNAPSHOT_IND" =
'Y'
AND "WCRS_CLAIM_FACT_VW"."CLAIM_DETAIL_PK_ID" =
"WCRS_CLAIM_DETAIL_VW5"."CLAIM_DETAIL_PK_ID"
AND "WCRS_CLAIM_DETAIL_VW5"."CURRENT_SNAPSHOT_IND" =
'Y'
AND "WCRS_CLAIM_FACT_VW"."CLAIM_GID" =
"INVC_CLAIM_DTL_BRDG_FACT_VW"."CLM_GID"
AND "INVC_CLAIM_DTL_BRDG_FACT_VW"."INVC_GID" =
"INVC_DIM_VW"."INVC_GID"
AND "INVC_DIM_VW"."INVC_PK_ID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_PK_ID"
AND "ALL_INVC_SNPSHT_FACT_VW"."MONTH_END_DT_PK_ID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."MONTH_END_DT_PK_ID"
AND "ALL_INVC_SNPSHT_FACT_VW"."INVC_GID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."INVC_GID"
AND "PROVIDER_NETWORK_DIM_VW"."PROVIDER_NETWORK_PK_ID" =
"INVC_ACTY_SNPSHT_FACT_VW6"."PPO_PROVIDER_NETWORK_PK_ID"
AND "WCRS_CURRENT_CLAIM_RPT_DT_VW"."CURRENT_CLAIM_RPT_DT" =
"WCRS_CLAIM_FACT_VW"."CLAIM_REPORTING_DT"
GROUP BY "WCRS_POLICY_GROUPING_VW"."ACCOUNT_NM",
"WCRS_CLAIM_DETAIL_VW5"."REGULATORY_STATE_CD",
CASE
WHEN "INVC_DIM_VW"."INVC_IN_OUT_OF_NETWORK_IND" =
'Y'
THEN
'In - Network'
WHEN "INVC_DIM_VW"."INVC_IN_OUT_OF_NETWORK_IND" =
'N'
THEN
'Out - Network'
ELSE
'Others'
END,
"PROVIDER_NETWORK_DIM_VW"."PROVIDER_NETWORK_NM",
"INVC_DIM_VW"."INVC_CLASS_TYPE_DESC",
CASE
WHEN (EXTRACT (
YEAR FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT"))
IS NULL)
OR (EXTRACT (
MONTH FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT"))
IS NULL)
THEN
NULL
ELSE
( EXTRACT (
YEAR FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT"))
|| EXTRACT (
MONTH FROM ("WCRS_CLAIM_DETAIL_VW5"."LOSS_DT")))
END) "T1") "T0"
ORDER BY "Account_Name" ASC NULLS LAST,
"Accident_State_Cd" ASC NULLS LAST,
"c3" ASC NULLS LAST,
"PPO_Name" ASC NULLS LAST,
"Invc_Classification_Type_Desc" ASC NULLS LAST| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
| 0 | SELECT STATEMENT | | 1 | 838 | 1079K (1)| 00:00:34 | | |
| 1 | TEMP TABLE TRANSFORMATION | | | | | | | |
| 2 | PX COORDINATOR | | | | | | | |
| 3 | PX SEND QC (RANDOM) | :TQ10000 | 10M| 317M| 848K (1)| 00:00:27 | | |
| 4 | LOAD AS SELECT | SYS_TEMP_0FD9D677A_286AAA2E | | | | | | |
| 5 | PX BLOCK ITERATOR | | 10M| 317M| 848K (1)| 00:00:27 | | |
|* 6 | TABLE ACCESS STORAGE FULL | WCRS_CLAIM_DETAIL | 10M| 317M| 848K (1)| 00:00:27 | | |
| 7 | PX COORDINATOR | | | | | | | |
| 8 | PX SEND QC (RANDOM) | :TQ20000 | 10M| 268M| 44875 (1)| 00:00:02 | | |
| 9 | LOAD AS SELECT | SYS_TEMP_0FD9D677B_286AAA2E | | | | | | |
| 10 | PX BLOCK ITERATOR | | 10M| 268M| 44875 (1)| 00:00:02 | | |
|* 11 | TABLE ACCESS STORAGE FULL | WCRS_POLICY_DETAIL | 10M| 268M| 44875 (1)| 00:00:02 | | |
| 12 | PX COORDINATOR | | | | | | | |
| 13 | PX SEND QC (ORDER) | :TQ40017 | 1 | 838 | 186K (2)| 00:00:06 | | |
| 14 | WINDOW SORT | | 1 | 838 | 186K (2)| 00:00:06 | | |
| 15 | PX RECEIVE | | 1 | 838 | 186K (2)| 00:00:06 | | |
| 16 | PX SEND RANGE | :TQ40016 | 1 | 838 | 186K (2)| 00:00:06 | | |
| 17 | NESTED LOOPS | | 1 | 838 | 186K (2)| 00:00:06 | | |
| 18 | BUFFER SORT | | | | | | | |
| 19 | PX RECEIVE | | | | | | | |
| 20 | PX SEND BROADCAST | :TQ40001 | | | | | | |
| 21 | VIEW | | 1 | 13 | 93216 (2)| 00:00:03 | | |
| 22 | SORT GROUP BY | | 1 | 393 | | | | |
| 23 | PX COORDINATOR | | | | | | | |
| 24 | PX SEND QC (RANDOM) | :TQ30015 | 1 | 393 | | | | |
| 25 | SORT GROUP BY | | 1 | 393 | | | | |
| 26 | PX RECEIVE | | 1 | 393 | | | | |
| 27 | PX SEND HASH | :TQ30014 | 1 | 393 | | | | |
| 28 | SORT GROUP BY | | 1 | 393 | | | | |
|* 29 | HASH JOIN ANTI | | 1 | 393 | 93216 (2)| 00:00:03 | | |
| 30 | PX RECEIVE | | 1 | 376 | 85197 (2)| 00:00:03 | | |
| 31 | PX SEND HASH | :TQ30012 | 1 | 376 | 85197 (2)| 00:00:03 | | |
| 32 | BUFFER SORT | | 1 | 838 | | | | |
| 33 | NESTED LOOPS | | 1 | 376 | 85197 (2)| 00:00:03 | | |
| 34 | NESTED LOOPS | | 1 | 358 | 85197 (2)| 00:00:03 | | |
| 35 | NESTED LOOPS | | 1 | 348 | 85197 (2)| 00:00:03 | | |
|* 36 | HASH JOIN ANTI | | 1 | 316 | 85179 (2)| 00:00:03 | | |
| 37 | PX RECEIVE | | 4 | 1156 | 77161 (2)| 00:00:03 | | |
| 38 | PX SEND HASH | :TQ30010 | 4 | 1156 | 77161 (2)| 00:00:03 | | |
|* 39 | HASH JOIN ANTI BUFFERED | | 4 | 1156 | 77161 (2)| 00:00:03 | | |
| 40 | PX RECEIVE | | 371 | 94605 | 69142 (2)| 00:00:03 | | |
| 41 | PX SEND HASH | :TQ30008 | 371 | 94605 | 69142 (2)| 00:00:03 | | |
|* 42 | HASH JOIN | | 371 | 94605 | 69142 (2)| 00:00:03 | | |
| 43 | PX RECEIVE | | 350 | 77000 | 36642 (1)| 00:00:02 | | |
| 44 | PX SEND BROADCAST | :TQ30007 | 350 | 77000 | 36642 (1)| 00:00:02 | | |
|* 45 | HASH JOIN | | 350 | 77000 | 36642 (1)| 00:00:02 | | |
| 46 | PX RECEIVE | | 140 | 25200 | 28624 (1)| 00:00:01 | | |
| 47 | PX SEND BROADCAST | :TQ30006 | 140 | 25200 | 28624 (1)| 00:00:01 | | |
|* 48 | HASH JOIN | | 140 | 25200 | 28624 (1)| 00:00:01 | | |
| 49 | PX RECEIVE | | 140 | 22820 | 25169 (1)| 00:00:01 | | |
| 50 | PX SEND BROADCAST | :TQ30005 | 140 | 22820 | 25169 (1)| 00:00:01 | | |
|* 51 | HASH JOIN BUFFERED | | 140 | 22820 | 25169 (1)| 00:00:01 | | |
| 52 | BUFFER SORT | | | | | | | |
| 53 | PX RECEIVE | | 9 | 306 | 5 (0)| 00:00:01 | | |
| 54 | T PX SEND BROADCAS | :TQ30000 | 9 | 306 | 5 (0)| 00:00:01 | | |
| 55 | INDEX ROWID TABLE ACCESS BY | WCRS_POLICY_GROUPING | 9 | 306 | 5 (0)| 00:00:01 | | |
|* 56 | AN INDEX RANGE SC | SUK3 | 9 | | 1 (0)| 00:00:01 | | |
|* 57 | HASH JOIN | | 9699K| 1193M| 25149 (1)| 00:00:01 | | |
| 58 | PX RECEIVE | | 9699K| 434M| 22205 (1)| 00:00:01 | | |
| 59 | PX SEND HASH | :TQ30003 | 9699K| 434M| 22205 (1)| 00:00:01 | | |
| 60 | NESTED LOOPS | | 9699K| 434M| 22205 (1)| 00:00:01 | | |
| 61 | BUFFER SORT | | | | | | | |
| 62 | PX RECEIVE | | | | | | | |
| 63 | DCAST PX SEND BROA | :TQ30002 | | | | | | |
| 64 | CARTESIAN MERGE JOIN | | 1 | 14 | 13 (0)| 00:00:01 | | |
| 65 | TERATOR PX BLOCK I | | 1 | 8 | 10 (0)| 00:00:01 | | |
| 66 | ESS STORAGE FULL TABLE ACC | CURRENT_MED_INVC_RPT_DT | 1 | 8 | 10 (0)| 00:00:01 | | |
| 67 | T BUFFER SOR | | 1 | 6 | 3 (0)| 00:00:01 | | |
| 68 | E PX RECEIV | | 1 | 6 | 2 (0)| 00:00:01 | | |
| 69 | BROADCAST PX SEND | :TQ30001 | 1 | 6 | 2 (0)| 00:00:01 | | |
| 70 | K ITERATOR PX BLOC | | 1 | 6 | 2 (0)| 00:00:01 | | |
| 71 | ACCESS STORAGE FULL TABLE | WCRS_CURRENT_CLAIM_RPT_DT | 1 | 6 | 2 (0)| 00:00:01 | | |
| 72 | TOR PX BLOCK ITERA | | 9699K| 305M| 22192 (1)| 00:00:01 | KEY | KEY |
|* 73 | STORAGE FULL TABLE ACCESS | WCRS_CURRENT_CLAIM_FACT | 9699K| 305M| 22192 (1)| 00:00:01 | KEY | KEY |
| 74 | PX RECEIVE | | 10M| 785M| 2907 (2)| 00:00:01 | | |
| 75 | PX SEND HASH | :TQ30004 | 10M| 785M| 2907 (2)| 00:00:01 | | |
|* 76 | VIEW | | 10M| 785M| 2907 (2)| 00:00:01 | | |
| 77 | TOR PX BLOCK ITERA | | 10M| 268M| 2907 (2)| 00:00:01 | | |
| 78 | STORAGE FULL TABLE ACCESS | SYS_TEMP_0FD9D677B_286AAA2E | 10M| 268M| 2907 (2)| 00:00:01 | | |
|* 79 | VIEW | | 10M| 168M| 3439 (2)| 00:00:01 | | |
| 80 | PX BLOCK ITERATOR | | 10M| 317M| 3439 (2)| 00:00:01 | | |
| 81 | E FULL TABLE ACCESS STORAG | SYS_TEMP_0FD9D677A_286AAA2E | 10M| 317M| 3439 (2)| 00:00:01 | | |
| 82 | PX BLOCK ITERATOR | | 15M| 599M| 7994 (1)| 00:00:01 | | |
| 83 | LL TABLE ACCESS STORAGE FU | INVC_CLAIM_DTL_BRDG_FACT | 15M| 599M| 7994 (1)| 00:00:01 | | |
| 84 | PX BLOCK ITERATOR | | 15M| 521M| 32477 (2)| 00:00:02 | | |
|* 85 | TABLE ACCESS STORAGE FULL | INVC_DIM | 15M| 521M| 32477 (2)| 00:00:02 | | |
| 86 | PX RECEIVE | | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 87 | PX SEND HASH | :TQ30009 | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 88 | PX BLOCK ITERATOR | | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 89 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 90 | PX RECEIVE | | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 91 | PX SEND HASH | :TQ30011 | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 92 | PX BLOCK ITERATOR | | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 93 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 94 | TABLE ACCESS BY INDEX ROWID | INVC_ACTY_SNPSHT_FACT | 1 | 32 | 18 (0)| 00:00:01 | | |
|* 95 | INDEX RANGE SCAN | IFK_XPKINVOICE_ACTIVITY_SNAPSH | 1 | | 1 (0)| 00:00:01 | | |
|* 96 | INDEX UNIQUE SCAN | IFK_XPKPROVIDER_NETWORK_DIM | 1 | 10 | 0 (0)| 00:00:01 | | |
|* 97 | INDEX RANGE SCAN | IFK_XPKALL_INVC_SNPSHT_FACT | 1 | 18 | 1 (0)| 00:00:01 | | |
| 98 | PX RECEIVE | | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 99 | PX SEND HASH | :TQ30013 | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 100 | PX BLOCK ITERATOR | | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 101 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 102 | VIEW | | 1 | 825 | | | | |
| 103 | SORT GROUP BY | | 1 | 430 | 93216 (2)| 00:00:03 | | |
| 104 | BUFFER SORT | | | | | | | |
| 105 | PX RECEIVE | | 1 | 430 | 93216 (2)| 00:00:03 | | |
| 106 | PX SEND HASH | :TQ40015 | 1 | 430 | 93216 (2)| 00:00:03 | | |
|*107 | HASH JOIN ANTI BUFFERED | | 1 | 430 | 93216 (2)| 00:00:03 | | |
| 108 | PX RECEIVE | | 1 | 413 | 85198 (2)| 00:00:03 | | |
| 109 | PX SEND HASH | :TQ40013 | 1 | 413 | 85198 (2)| 00:00:03 | | |
| 110 | BUFFER SORT | | 1 | 838 | | | | |
| 111 | NESTED LOOPS | | 1 | 413 | 85198 (2)| 00:00:03 | | |
| 112 | NESTED LOOPS | | 1 | 395 | 85197 (2)| 00:00:03 | | |
| 113 | NESTED LOOPS | | 1 | 369 | 85197 (2)| 00:00:03 | | |
|*114 | HASH JOIN ANTI | | 1 | 311 | 85179 (2)| 00:00:03 | | |
| 115 | PX RECEIVE | | 4 | 1136 | 77161 (2)| 00:00:03 | | |
| 116 | PX SEND HASH | :TQ40011 | 4 | 1136 | 77161 (2)| 00:00:03 | | |
|*117 | HASH JOIN ANTI BUFFERED | | 4 | 1136 | 77161 (2)| 00:00:03 | | |
| 118 | PX RECEIVE | | 371 | 92750 | 69143 (2)| 00:00:03 | | |
| 119 | PX SEND HASH | :TQ40009 | 371 | 92750 | 69143 (2)| 00:00:03 | | |
|*120 | HASH JOIN | | 371 | 92750 | 69143 (2)| 00:00:03 | | |
| 121 | PX RECEIVE | | 350 | 72450 | 36642 (1)| 00:00:02 | | |
| 122 | PX SEND BROADCAST | :TQ40008 | 350 | 72450 | 36642 (1)| 00:00:02 | | |
|*123 | HASH JOIN | | 350 | 72450 | 36642 (1)| 00:00:02 | | |
| 124 | PX RECEIVE | | 140 | 23380 | 28624 (1)| 00:00:01 | | |
| 125 | PX SEND BROADCAST | :TQ40007 | 140 | 23380 | 28624 (1)| 00:00:01 | | |
|*126 | HASH JOIN | | 140 | 23380 | 28624 (1)| 00:00:01 | | |
| 127 | PX RECEIVE | | 140 | 15540 | 25169 (1)| 00:00:01 | | |
| 128 | PX SEND BROADCAST | :TQ40006 | 140 | 15540 | 25169 (1)| 00:00:01 | | |
|*129 | HASH JOIN BUFFERED | | 140 | 15540 | 25169 (1)| 00:00:01 | | |
| 130 | BUFFER SORT | | | | | | | |
| 131 | PX RECEIVE | | 9 | 306 | 5 (0)| 00:00:01 | | |
| 132 | PX SEND BROADCAST | :TQ40000 | 9 | 306 | 5 (0)| 00:00:01 | | |
| 133 | ROWID TABLE ACCESS BY INDEX | WCRS_POLICY_GROUPING | 9 | 306 | 5 (0)| 00:00:01 | | |
|*134 | INDEX RANGE SCAN | SUK3 | 9 | | 1 (0)| 00:00:01 | | |
|*135 | HASH JOIN | | 9699K| 712M| 25149 (1)| 00:00:01 | | |
| 136 | PX RECEIVE | | 10M| 287M| 2907 (2)| 00:00:01 | | |
| 137 | PX SEND HASH | :TQ40004 | 10M| 287M| 2907 (2)| 00:00:01 | | |
|*138 | VIEW | | 10M| 287M| 2907 (2)| 00:00:01 | | |
| 139 | PX BLOCK ITERATOR | | 10M| 268M| 2907 (2)| 00:00:01 | | |
| 140 | E FULL TABLE ACCESS STORAG | SYS_TEMP_0FD9D677B_286AAA2E | 10M| 268M| 2907 (2)| 00:00:01 | | |
| 141 | PX RECEIVE | | 9699K| 434M| 22205 (1)| 00:00:01 | | |
| 142 | PX SEND HASH | :TQ40005 | 9699K| 434M| 22205 (1)| 00:00:01 | | |
| 143 | NESTED LOOPS | | 9699K| 434M| 22205 (1)| 00:00:01 | | |
| 144 | BUFFER SORT | | | | | | | |
| 145 | PX RECEIVE | | | | | | | |
| 146 | PX SEND BROADCAST | :TQ40003 | | | | | | |
| 147 | IAN MERGE JOIN CARTES | | 1 | 14 | 13 (0)| 00:00:01 | | |
| 148 | R PX BLOCK ITERATO | | 1 | 8 | 10 (0)| 00:00:01 | | |
| 149 | ORAGE FULL TABLE ACCESS ST | CURRENT_MED_INVC_RPT_DT | 1 | 8 | 10 (0)| 00:00:01 | | |
| 150 | BUFFER SORT | | 1 | 6 | 3 (0)| 00:00:01 | | |
| 151 | PX RECEIVE | | 1 | 6 | 2 (0)| 00:00:01 | | |
| 152 | AST PX SEND BROADC | :TQ40002 | 1 | 6 | 2 (0)| 00:00:01 | | |
| 153 | ATOR PX BLOCK ITER | | 1 | 6 | 2 (0)| 00:00:01 | | |
| 154 | STORAGE FULL TABLE ACCESS | WCRS_CURRENT_CLAIM_RPT_DT | 1 | 6 | 2 (0)| 00:00:01 | | |
| 155 | PX BLOCK ITERATOR | | 9699K| 305M| 22192 (1)| 00:00:01 | KEY | KEY |
|*156 | E FULL TABLE ACCESS STORAG | WCRS_CURRENT_CLAIM_FACT | 9699K| 305M| 22192 (1)| 00:00:01 | KEY | KEY |
|*157 | VIEW | | 10M| 555M| 3439 (2)| 00:00:01 | | |
| 158 | PX BLOCK ITERATOR | | 10M| 317M| 3439 (2)| 00:00:01 | | |
| 159 | TABLE ACCESS STORAGE FULL | SYS_TEMP_0FD9D677A_286AAA2E | 10M| 317M| 3439 (2)| 00:00:01 | | |
| 160 | PX BLOCK ITERATOR | | 15M| 599M| 7994 (1)| 00:00:01 | | |
| 161 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 599M| 7994 (1)| 00:00:01 | | |
| 162 | PX BLOCK ITERATOR | | 15M| 641M| 32477 (2)| 00:00:02 | | |
|*163 | TABLE ACCESS STORAGE FULL | INVC_DIM | 15M| 641M| 32477 (2)| 00:00:02 | | |
| 164 | PX RECEIVE | | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 165 | PX SEND HASH | :TQ40010 | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 166 | PX BLOCK ITERATOR | | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 167 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 509M| 7994 (1)| 00:00:01 | | |
| 168 | PX RECEIVE | | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 169 | PX SEND HASH | :TQ40012 | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 170 | PX BLOCK ITERATOR | | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 171 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 404M| 7994 (1)| 00:00:01 | | |
| 172 | TABLE ACCESS BY INDEX ROWID | INVC_ACTY_SNPSHT_FACT | 1 | 58 | 18 (0)| 00:00:01 | | |
|*173 | INDEX RANGE SCAN | IFK_XPKINVOICE_ACTIVITY_SNAPSH | 1 | | 1 (0)| 00:00:01 | | |
| 174 | TABLE ACCESS BY INDEX ROWID | PROVIDER_NETWORK_DIM | 1 | 26 | 0 (0)| 00:00:01 | | |
|*175 | INDEX UNIQUE SCAN | IFK_XPKPROVIDER_NETWORK_DIM | 1 | | 0 (0)| 00:00:01 | | |
|*176 | INDEX RANGE SCAN | IFK_XPKALL_INVC_SNPSHT_FACT | 1 | 18 | 1 (0)| 00:00:01 | | |
| 177 | PX RECEIVE | | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 178 | PX SEND HASH | :TQ40014 | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 179 | PX BLOCK ITERATOR | | 15M| 254M| 7994 (1)| 00:00:01 | | |
| 180 | TABLE ACCESS STORAGE FULL | INVC_CLAIM_DTL_BRDG_FACT | 15M| 254M| 7994 (1)| 00:00:01 | | |
--------------------------------------------------------------------------------------------------------------------------------------------------------------- -
Hi all,
I Hope anybody can help to provide the select statement that i need in my sitiuation.
I have one table name EVENTS. I want to make a select statement that can be produced the min(TIME) and max(TIME) time for one USERID.
This is my sql.
Select MIN (events.TIME1),
MAX (events.TIME1),
USERID
FROM events
Where date1=to_date('01/09/2006' , 'dd/mm/yyyy'')
Group by userid
This is the example value for TIME1 = '5/9/2005 10:38:57 AM'
This is the invalid sql, I dont know how to modify it, I dont want to group the address and reader. I only want to output the value. Can Anybody help me???
Select MIN (events.TIME1),address,reader
MAX (events.TIME1),
USERID
FROM events
Where date1=to_date('01/09/2006' , 'dd/mm/yyyy'')
Group by userid
CREATE TABLE EVENTS
ID NUMBER(10),
DATE1 DATE,
TIME1 DATE,
ADDRESS VARCHAR2(15 BYTE),
USERID VARCHAR2(50 BYTE),
READER VARCHAR2(20 BYTE)
)There may be more efficient ways to do it, but this works:
SQL> SELECT * FROM t;
ID DATE1 TIME1 ADDRE USERID READER
6 08-sep-2006 00:00:00 08-sep-2006 13:10:57 0001 N0001 1
5 07-sep-2006 00:00:00 07-sep-2006 13:10:57 0001 N0002 1
4 07-sep-2006 00:00:00 07-sep-2006 23:10:57 0005 N0001 2
3 07-sep-2006 00:00:00 07-sep-2006 22:30:57 0003 N0001 1
2 07-sep-2006 00:00:00 07-sep-2006 10:30:57 0002 N0001 2
1 07-sep-2006 00:00:00 07-sep-2006 10:38:57 0001 N0001 1
SQL> SELECT m.userid, minaddress, minreader, mintime,
2 maxaddress, maxreader, maxtime
3 FROM (SELECT date1, userid, minaddress, minreader, mintime
4 FROM (SELECT date1, userid, address minaddress, reader minreader,
5 time1 mintime,
6 ROW_NUMBER() OVER (PARTITION BY userid, date1
7 ORDER BY time1) rn
8 FROM t)
9 WHERE rn = 1) m,
10 (SELECT date1, userid, maxaddress, maxreader, maxtime
11 FROM (SELECT date1, userid, address maxaddress, reader maxreader,
12 time1 maxtime,
13 ROW_NUMBER() OVER (PARTITION BY userid, date1
14 ORDER BY time1 DESC) rn
15 FROM t)
16 WHERE rn = 1) x
17 WHERE m.userid = x.userid and
18 m.date1 = x.date1 and
19 m.userid = 'N0001' and
20 m.date1 = TO_DATE('07-sep-2006', 'dd-mon-yyyy');
USERID MINAD MINREADER MINTIME MAXAD MAXREADER MAXTIME
N0001 0002 2 07-sep-2006 10:30:57 0005 2 07-sep-2006 23:10:57John -
Hi all,
I have data in the following manner:
CASE_NUMBER HOURS FLAG
1000 10 0
1000 20 0
1000 30 1
1000 40 0
1000 50 1
Here I need to Calculate the total hours for a Case_number till i see the flag as 1.
Here the result must be 10+20+30 Hrs
Another Example
CASE_NUMBER HOURS FLAG
2000 10 1
2000 20 1
Here the result must be only 10.
I am struggling to write a SQL query for this.
Anyones help will be very much greatful
Thanks in Advance
Regards,
Sengathir SubbarayanLook up analytical functions.
something like sum(hours) OVER (PARTITION BY case_number ORDER BY something)
will give you the sum for all rows.
Then you probably want to "throw away" those rows after the flag maybe by summing the flag column too, and throw away all those where the flag is greater than 1 and where it is equal to 1 except for the first one.
I suspect you actually have some other column (other than the number of hours) that define your order - that's what you put in the ORDER BY.
Jon -
Hi,
Need help to write sql statement.
create table t_dt ( dt_start date, dt_end date, amount number);
insert into t_dt values('1-Jan-10','10-Feb-10',12);
insert into t_dt values('11-Feb-10','10-Mar-10',10);
insert into t_dt values('11-Mar-10','20-Apr-10',8);
insert into t_dt values('21-Apr-10','28-Jun-10',10);
insert into t_dt values('29-Jun-10','20-Sep-10',10);
insert into t_dt values('21-Sep-10','10-Oct-10',10);
insert into t_dt values('11-Oct-10','31-Dec-10',8);
insert into t_dt values('1-Jan-11','10-Feb-11',8);
insert into t_dt values('11-Feb-11','10-Mar-11',7);
insert into t_dt values('11-Mar-11','20-Apr-11',6);
insert into t_dt values('21-Apr-11','28-Jun-11',6);
insert into t_dt values('29-Jun-11','20-Sep-11',6);
insert into t_dt values('21-Sep-11','10-Oct-11',4);
insert into t_dt values('11-Oct-11','31-Dec-11',8);
Result should be like below..
dt_start dt_end Amount
1-Jan-10 10-Feb-10 12
11-Feb-10 10-Mar-10 10
11-Mar-10 20-Apr-10 8
21-Apr-10 10-Oct-10 10
11-Oct-10 10-Feb-11 8
11-Feb-11 10-Mar-11 7
11-Mar-11 20-Sep-11 6
21-Sep-11 10-Oct-11 4
11-Oct-11 31-Dec-11 8
Just to explain the example, take a row with start date as 21-Apr-10 in the above insert statements, since it has the same amount for next two rows (i.e. with start date '29-Jun-10' and '21-Sep-10') these 3 rows should be converted to represent only 1 row in the result and the start date and end date should be changed per the result shown above.
Thanks.Hello
I think this gives yuo what you need....
SELECT
MIN(dt_start),
MAX(dt_end),
amount
FROM
( SELECT
dt_start,
dt_end,
MAX(marker) OVER(ORDER BY dt_start) marker,
amount
FROM
Select
dt_start,
dt_end,
amount,
CASE
WHEN LAG(amount) OVER(ORDER BY dt_start) <> amount THEN
ROW_NUMBER() OVER(ORDER BY dt_start)
END marker
from t_dt
GROUP BY
amount,
marker
order by
MIN(dt_start)
MIN(DT_START) MAX(DT_END) AMOUNT
01-JAN-2010 00:00:00 10-FEB-2010 00:00:00 12
11-FEB-2010 00:00:00 10-MAR-2010 00:00:00 10
11-MAR-2010 00:00:00 20-APR-2010 00:00:00 8
21-APR-2010 00:00:00 10-OCT-2010 00:00:00 10
11-OCT-2010 00:00:00 10-FEB-2011 00:00:00 8
11-FEB-2011 00:00:00 10-MAR-2011 00:00:00 7
11-MAR-2011 00:00:00 20-SEP-2011 00:00:00 6
21-SEP-2011 00:00:00 10-OCT-2011 00:00:00 4
11-OCT-2011 00:00:00 31-DEC-2011 00:00:00 8
9 rows selected.HTH
David
Edited by: Bravid on Feb 23, 2012 12:08 PM
Beaten to it by Frank! :-) -
Hi,
I have this table
declare @t_date table(cut_off datetime)
insert into @t_date
select '20140930'
union
select '20140716'
union
select '20140715'
union
select '20140714'
union
select '20140627'
union
select '20140625'
I need this result: Dates nearests to end of month
In the table on example, I need this output
2014-09-30
2014-07-16
2014-06-27
Can anyone help me?
Thanks a lot in advance.
declare @t_date table(cut_off datetime)
insert into @t_date
select '20140930' --this is OK cause eom
union
select '20140716' --this is OK cause is the nearest to eom(07)
union
select '20140715' --this is KO cause is not the nearest to eom(07)
union
select '20140714' --this is KO cause is not the nearest to eom(07)
union
select '20140627' --this is OK cause is the nearest to eom(06)
union
select '20140625' --this is KO cause is not the nearest to eom(06)Please post DDL, so that people do not have to guess what the keys, constraints, Declarative Referential Integrity, data types, etc. in your schema are. You have no keys! Learn how to follow ISO-11179 data element naming conventions and formatting rules.
Temporal data should use ISO-8601 formats. It is the only –- repeat, only -– format allowed in ANSI/ISO Standard SQL! Code should be in Standard SQL as much as possible and not local dialect. We would use the correct INSERT INTO syntax.
Oh, that silly “t_” is called a “tibble” and we laugh at it.
CREATE TABLE Foobar_Dates
(foobar_date DATE NOT NULL PRIMARY KEY);
INSERT INTO Foobar_Dates
VALUES
('2014-06-25'),
('2014-06-27'),
('2014-07-14'),
('2014-07-15'),
('2014-07-16'),
('2014-09-30'),
>> I need this result: for each month I need the date nearest to end of month <<
Since SQL is a database language, we prefer to do look ups and not calculations. They can be optimized while temporal math messes up optimization. A useful idiom is a report period calendar that everyone uses so there is no way to get disagreements in the DML.
Build good tools and re-use them!
The report period table gives a name to a range of dates that is common to the entire enterprise.
CREATE TABLE Month_Periods
(month_name CHAR(10) NOT NULL PRIMARY KEY
CHECK (month_name LIKE '[12][0-9][0-9][0-9]-[01][0-9]-00'),
month_start_date DATE NOT NULL,
month_end_date DATE NOT NULL,
CONSTRAINT date_ordering
CHECK (month_start_date < month_end_date),
etc);
These report periods can overlap or have gaps. I like the MySQL convention of using double zeroes for months and years, That is 'yyyy-mm-00' for a month within a year and 'yyyy-00-00' for the whole year. The advantages are that it will sort with the ISO-8601
data format required by Standard SQL and it is language independent.
SELECT M.month_name, MAX(F.foobar_date),
OVER (PARTITION BY M.month_name)
FROM Foobar_Dates AS F,
Month_Periods AS M
WHERE F.foobar_date BETWEEN M.month_start_date AND M.month_end_date;
--CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
in Sets / Trees and Hierarchies in SQL -
Need help in SQL , Subtract column based on the condition in the Row
Hi all ,
I’m new to Sql Queries; I have a requirement which involves Sql query,
Can anyone tell the How to proceed or provide me Sql
Here goes the requirement
Current Table
ID |-|Month|-|Data
1|-|Jan-10|-|10.00
2|-|Feb-10|-|20.00
3|-|Mar-10|-|30.00
4|-|Apr-10|-|50.00
5|-|May-10|-|60.00
6|-|Jun-10|-|70.00
7|-|Jul-10|-|100.00
8|-|Aug-10|-|110.00
9|-|Sep-10|-|120.00
10|-|Oct-10|-|140.00
11|-|Nov-10|-|150.00
12|-|Dec-10|-|170.00
13|-|Jan-09|-|180.67
14|-|Feb-09|-|194.67
15|-|Mar-09|-|208.67
16|-|Apr-09|-|222.67
Format needed
ID |-|Month|-|Data|-|Base on this condition
1|-|Jan-10|-|10.00|-|Jan 10
2|-|Feb-10|-|10.00|-|Feb10-Jan10
3|-|Mar-10|-|10.00|-|Mar10 - Feb10
4|-|Apr-10|-|20.00|-|Apr10 - Mar10
5|-|May-10|-|10.00|-|May10 - Apr10
6|-|Jun-10|-|10.00|-|Jun10 - May10
7|-|Jul-10|-|30.00|-|Jul10 - Aug10
8|-|Aug-10|-|10.00|-|Aug10 - Jul10
9|-|Sep-10|-|10.00|-|Sep10 -Aug10
10|-|Oct-10|-|20.00|-|Oct10 -Sep10
11|-|Nov-10|-|10.00|-|Nov10 - Oct10
12|-|Dec-10|-|20.00|-|Dec10 - Nov10
13|-|Jan-09|-|10.67|-|Jan 09
14|-|Feb-09|-|14.00|-|Feb09-Jan09
15|-|Mar-09|-|14.00|-|Mar09 - Feb09
16|-|Apr-09|-|14.00|-|Apr09 - Mar09
Thanks in advance
AstleWelcome to the forum!
this?
select id
, mon
, data
, data - lag (data, 1, 0) over (partition by trunc (mon, 'yyyy')
order by mon)
from test
order by idas in
SQL> with test as
2 (
3 select 1 id ,to_date ('Jan-10', 'Mon-rr') mon,10.00 data from dual union all
4 select 2,to_date ('Feb-10', 'Mon-rr'),20.00 data from dual union all
5 select 3,to_date ('Mar-10', 'Mon-rr'),30.00 data from dual union all
6 select 4,to_date ('Apr-10', 'Mon-rr'),50.00 data from dual union all
7 select 5,to_date ('May-10', 'Mon-rr'),60.00 data from dual union all
8 select 6,to_date ('Jun-10', 'Mon-rr'),70.00 data from dual union all
9 select 7,to_date ('Jul-10', 'Mon-rr'),100.00 data from dual union all
10 select 8,to_date ('Aug-10', 'Mon-rr'),110.00 data from dual union all
11 select 9,to_date ('Sep-10', 'Mon-rr'),120.00 data from dual union all
12 select 10,to_date ('Oct-10', 'Mon-rr'),140.00 data from dual union all
13 select 11,to_date ('Nov-10', 'Mon-rr'),150.00 data from dual union all
14 select 12,to_date ('Dec-10', 'Mon-rr'),170.00 data from dual union all
15 select 13,to_date ('Jan-09', 'Mon-rr'),180.67 data from dual union all
16 select 14,to_date ('Feb-09', 'Mon-rr'),194.67 data from dual union all
17 select 15,to_date ('Mar-09', 'Mon-rr'),208.67 data from dual union all
18 select 16,to_date ('Apr-09', 'Mon-rr'),222.67 data from dual
19 )
20 select id
21 , mon
22 , data
23 , data - lag (data, 1, 0) over (partition by trunc (mon, 'yyyy')
24 order by mon)
25 from test
26 order by id
27 ;
ID MON DATA DATA-LAG(DATA,1,0)OVER(PARTITI
1 1-1-2010 10 10
2 1-2-2010 20 10
3 1-3-2010 30 10
4 1-4-2010 50 20
5 1-5-2010 60 10
6 1-6-2010 70 10
7 1-7-2010 100 30
8 1-8-2010 110 10
9 1-9-2010 120 10
10 1-10-2010 140 20
11 1-11-2010 150 10
12 1-12-2010 170 20
13 1-1-2009 180,67 180,67
14 1-2-2009 194,67 14
15 1-3-2009 208,67 14
16 1-4-2009 222,67 14
16 rows selected -
Hi,
I have a data in the table like below
Before:
ID SEQ_ID Manager_id Reg_days
1 1 111 1
1 2 222 3
1 3 333 5
1 4 444 7
1 5 555 9
Action: User deletes SEQ_ID #3
After:
ID SEQ_ID Manager_id Reg_days
1 1 111 1
1 2 222 3
1 3 444 7
1 4 555 9
could you please help me the query to update the table how what was seq_id #4 becomes seq_id #3 and what was seq_id #5 becomes seq_id #4; i.e. every sequence number > the one deleted is decremented by one so that the sequence numbers remain contiguous.
Thx in advance[Edit: why do you never mark any of your questions as "answered"? Providing feedback is a courtesy that encourages people to answer.]
user586 wrote:
Is it possible to update it to write in a procedure or trigger to call the procedure in the code. Plz. let me know or help me.I thought you said you wanted to do this every 3 or 6 months? In that case no trigger!
Do not try to do this in a trigger!
Test data:drop table T;
create table T(id, SEQ_ID, MANAGER_ID, REG_DAYS) as
with IDS as (
select level id from DUAL connect by level <= 10
), REST as (
select level seq_ID, level+100 MANAGER_ID, level*2 - 1 REG_DAYS
from DUAL
connect by level <= 10
select * from IDS, REST;
delete from T where SEQ_ID = 3;
commit;
select * from T where id = 1;
ID SEQ_ID MANAGER_ID REG_DAYS
1 1 101 1
1 2 102 3
1 4 104 7
1 5 105 9
1 6 106 11
1 7 107 13
1 8 108 15
1 9 109 17
1 10 110 19Solution:merge into T
using (
select new_seq_id, rid from (
select SEQ_ID,
ROW_NUMBER() over(partition by id order by SEQ_ID) NEW_SEQ_ID,
rowid RID
from T
where NEW_SEQ_ID != SEQ_ID
) NEW_T
on (T.rowid = NEW_T.RID)
when matched then update set seq_id = new_t.new_seq_id;
70 rows merged.
select * from T where id = 1;
ID SEQ_ID MANAGER_ID REG_DAYS
1 1 101 1
1 2 102 3
1 3 104 7
1 4 105 9
1 5 106 11
1 6 107 13
1 7 108 15
1 8 109 17
1 9 110 19Most importantly, if you run the MERGE twice in a row, the second time you get "0 rows merged." The code only changes the rows that need to be changed.
Edited by: Stew Ashton on Oct 29, 2012 9:15 AM -
I am using Sybase as my back end database. I need help on my SQL statement regarding datetime. The datetime is store as a 9 digit integer in the database (...I believe it is a Decimal(30,6) format, let me know if I am wrong).
If I do this, "select * from mytable;" It works out fine (except I don't know what the date means e.g. 998919534)
If I do this, "select * from mytable where datetime_col < '9/5/2002' ; I got an error. I even tried '9/5/02 11:00 000 am' but it didn't help.
How do I specify a date or datetime in my query?
Thanks in advance.I execute the sql statement
select * from mytable where datetim_col < convert(datetime, '3/4/2002', 101) ;
I got mix result. I got an error message "cannot convert 10375584 to a date.
Yet, he statistics window of the I-sql says
"estimated 493 rows in query (I/O estimate 87)
PLan> mytable (seq)"
It looks like I my the SQL statement is correct and then the system can't display it in the Data window.
Any thought ? -
Need help with SQL for selecting ID where the sequence does not match..
I have the following dilemma:
Database contains IDs as follows:
Incident#, Case#, & Part Sequence#
example
Record 1
Incident_Number = 123456
Case_Number = 1
Part_sequence = 1
Record 2
Incident_Number = 123456
Case_Number = 1
Part_sequence = 2
Sometimes the user will delete (let's say) Record 2 after creating a new Record 3
So now the sequencing goes as follows:
Record 1
Incident_Number = 123456
Case_Number = 1
Part_sequence = 1
Record 2
Incident_Number = 123456
Case_Number = 1
Part_sequence = 3
Now there will no longer be a Part_Sequence 2
Need a SQL to select all records where the maximum part sequence > than the count of Incident_number||'-'||Case_number
I tried the following:
select a.incident_number||'-'||a.case_number||'-'||a.part_sequence
from chsuser.a_compl_summary a
where a.entry_date >= '01-may-2011'
and max(a.part_sequence) > count(distinct a.incident_number||'-'||a.case_number)I end up getting a ORA-00934: group function is not allowed here (highlighting on the Max(a.part_sequence) portion.
Any suggestions/hints
Thanksselect incident_number || '-' || case_number || '-' || part_sequence
from (
select incident_number,
case_number,
part_sequence,
max(part_sequence) over(partition by incident_number,case_number) max_seq,
count(*) over(partition by incident_number,case_number) cnt
from chsuser.a_compl_summary
where entry_date >= DATE '2011-05-01'
where cnt != max_seq
/SY. -
Need help in SQL (DENSE_RANK) function
Hello All,
I need the help in SQL.
We have a table called status and the column are
status_id number
account_id number
status_cd varchar2(10)
created_id varchar2(10)
created_by date
and data is as follows
insert into status values (1,101,'ENTER','ABC',to_date('21-JAN-2007 11:15:14','DD-MON-YYYY HH:MI:SS'));
insert into status values (2,101,'REVIEW','DEF',to_date('21-JAN-2007 11:30:25','DD-MON-YYYY HH:MI:SS'));
insert into status values (3,101,'APPROVE','GHI',to_date('21-JAN-2007 11:30:25','DD-MON-YYYY HH:MI:SS'));
insert into status values (4,102,'ENTER','ABC',to_date('21-JAN-2007 11:18:14','DD-MON-YYYY HH:MI:SS'));
insert into status values (5,102,'REVIEW','DEF',to_date('21-JAN-2007 11:33:25','DD-MON-YYYY HH:MI:SS'));
insert into status values (6,102,'CANCEL','GHI',to_date('21-JAN-2007 11:33:25','DD-MON-YYYY HH:MI:SS'));
insert into status values (7,103,'ENTER','ABC',to_date('21-JAN-2007 11:21:14','DD-MON-YYYY HH:MI:SS'));We have different status as follows
1. ENTER
2. REVIEW
3. APPROVE
4. CANCEL
5. REJECT
My requirement ..
I need the max of created_id column for the status in ('APPROVE','CANCEL') and if there is no status in ('APPROVE','REVIEW') than it should be NULL.
I wrote an SQL as
select account_id,max(created_id) keep (dense_rank first order by decode(status_cd,'APPROVE',created_dt,'REVIEW',created_dt,NULL) DESC NULLS LAST,
decode(status_cd,'APPROVE',status_id,'REVIEW',status_id,NULL) DESC NULLS LAST) last_app_rev_user
from status
group by account_id and gives me the output like
ACCOUNT_ID LAST_APP_R
101 GHI
102 DEF
103 ABCBut I want the Output like
ACCOUNT_ID LAST_APP_R
101 GHI
102 DEF
103 NULLAs the account 103 has no status called 'REVIEW' and 'APPROVE'
My DB Version in 10.2.0.3.0.
Hope I explain it properly. And if you have any other option without dense_rank still i will be happy.
Thanks in advance for your help.
AB
null
Message was edited by:
ABinstead of max(created_id) keep... use
smth like max(case when status_cd in ('APPROVE','REVIEW') then created_id end) keep...
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