Help for sql
Hi
I have a table,
id name
1 a:b:c
2 x:y
I want to see below
1 a
1 b
1 c
2 x
2 y
How can I do
thank for your help
It's really sad that someone with a fancy "Guru" tag employs such condescension and contempt for others asking serious questions.
I'm well acquainted with the Oracle documentation & "Fine Manuals". I'm also a regular user of Google. I've used the "Connect By" and I'm well acquainted with the DBMS_random function. However, I've not been able to find anywhere, yet, a good explanation of how they are interacting in this example.
If you can't offer genuine help to someone asking a serious question, why not go do something useful instead of trolling this forum looking for people to make fun of.
Similar Messages
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Need help for SQL SELECT query to fetch XML records from Oracle tables having CLOB field
Hello,
I have a scenario wherein i need to fetch records from several oracle tables having CLOB fields(which is holding XML) and then merge them logically to form a hierarchy XML. All these tables are related with PK-FK relationship. This XML hierarchy is having 'OP' as top-most root node and ‘DE’ as it’s bottom-most node with One-To-Many relationship. Hence, Each OP can have multiple GM, Each GM can have multiple DM and so on.
Table structures are mentioned below:
OP:
Name Null Type
OP_NBR NOT NULL NUMBER(4) (Primary Key)
OP_DESC VARCHAR2(50)
OP_PAYLOD_XML CLOB
GM:
Name Null Type
GM_NBR NOT NULL NUMBER(4) (Primary Key)
GM_DESC VARCHAR2(40)
OP_NBR NOT NULL NUMBER(4) (Foreign Key)
GM_PAYLOD_XML CLOB
DM:
Name Null Type
DM_NBR NOT NULL NUMBER(4) (Primary Key)
DM_DESC VARCHAR2(40)
GM_NBR NOT NULL NUMBER(4) (Foreign Key)
DM_PAYLOD_XML CLOB
DE:
Name Null Type
DE_NBR NOT NULL NUMBER(4) (Primary Key)
DE_DESC NOT NULL VARCHAR2(40)
DM_NBR NOT NULL NUMBER(4) (Foreign Key)
DE_PAYLOD_XML CLOB
+++++++++++++++++++++++++++++++++++++++++++++++++++++
SELECT
j.op_nbr||'||'||j.op_desc||'||'||j.op_paylod_xml AS op_paylod_xml,
i.gm_nbr||'||'||i.gm_desc||'||'||i.gm_paylod_xml AS gm_paylod_xml,
h.dm_nbr||'||'||h.dm_desc||'||'||h.dm_paylod_xml AS dm_paylod_xml,
g.de_nbr||'||'||g.de_desc||'||'||g.de_paylod_xml AS de_paylod_xml,
FROM
DE g, DM h, GM i, OP j
WHERE
h.dm_nbr = g.dm_nbr(+) and
i.gm_nbr = h.gm_nbr(+) and
j.op_nbr = i.op_nbr(+)
+++++++++++++++++++++++++++++++++++++++++++++++++++++
I am using above SQL select statement for fetching the XML records and this gives me all related xmls for each entity in a single record(OP, GM, DM. DE). Output of this SQL query is as below:
Current O/P:
<resultSet>
<Record1>
<OP_PAYLOD_XML1>
<GM_PAYLOD_XML1>
<DM_PAYLOD_XML1>
<DE_PAYLOD_XML1>
</Record1>
<Record2>
<OP_PAYLOD_XML2>
<GM_PAYLOD_XML2>
<DM_PAYLOD_XML2>
<DE_PAYLOD_XML2>
</Record2>
<RecordN>
<OP_PAYLOD_XMLN>
<GM_PAYLOD_XMLN>
<DM_PAYLOD_XMLN>
<DE_PAYLOD_XMLN>
</RecordN>
</resultSet>
Now i want to change my SQL query so that i get following output structure:
<resultSet>
<Record>
<OP_PAYLOD_XML1>
<GM_PAYLOD_XML1>
<GM_PAYLOD_XML2> .......
<GM_PAYLOD_XMLN>
<DM_PAYLOD_XML1>
<DM_PAYLOD_XML2> .......
<DM_PAYLOD_XMLN>
<DE_PAYLOD_XML1>
<DE_PAYLOD_XML2> .......
<DE_PAYLOD_XMLN>
</Record>
<Record>
<OP_PAYLOD_XML2>
<GM_PAYLOD_XML1'>
<GM_PAYLOD_XML2'> .......
<GM_PAYLOD_XMLN'>
<DM_PAYLOD_XML1'>
<DM_PAYLOD_XML2'> .......
<DM_PAYLOD_XMLN'>
<DE_PAYLOD_XML1'>
<DE_PAYLOD_XML2'> .......
<DE_PAYLOD_XMLN'>
</Record>
<resultSet>
Appreciate your help in this regard!Hi,
A few questions :
How's your first query supposed to give you an XML output like you show ?
Is there something you're not telling us?
What's the content of, for example, <OP_PAYLOD_XML1> ?
I don't think it's a good idea to embed the node level in the tag name, it would make much sense to expose that as an attribute.
What's the db version BTW? -
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! :-) -
Need help for SQL Queries Tunning
hi all,
we have a procedure for search consumers, which using sql queries like:
SELECT TRIM (NAME) AS NAME, TRIM (accno) AS accno,
TRIM (connaddress) AS connaddress,
TRIM (CATEGORY) AS CATEGORY, TRIM (landmark) AS landmark,
SUBSTR (accno, 1, 3) AS subdivisionname
FROM consumermaster
WHERE LOWER (accno) LIKE
LOWER ('%' || NVL (caccno, '#noval#') || '%')
OR LOWER (NAME) LIKE LOWER ('%' || NVL (cname, '#noval#') || '%')
OR LOWER (connaddress) LIKE
LOWER ('%' || NVL (cadd, '#noval#') || '%')
OR phone LIKE '%' || NVL (cphone, '#noval#') || '%'
OR accno = (SELECT accno
FROM requestregistration
WHERE requestid = creqid)
UNION
SELECT TRIM (NAME) AS NAME, TRIM (accno) AS accno,
TRIM (connaddress) AS connaddress, TRIM (CATEGORY)
AS CATEGORY,
TRIM (landmark) AS landmark,
SUBSTR (accno, 1, 3) AS subdivisionname
FROM scodetails
WHERE LOWER (accno) LIKE
LOWER ('%' || NVL (caccno, '#noval#') || '%')
OR LOWER (NAME) LIKE LOWER ('%' || NVL (cname, '#noval#') || '%')
OR LOWER (connaddress) LIKE
LOWER ('%' || NVL (cadd, '#noval#') || '%')
OR phone LIKE '%' || NVL (cphone, '#noval#') || '%'
OR accno = (SELECT accno
FROM requestregistration
WHERE requestid = creqid);
it's ok for small tables but now data increase .......
searching method is very slow
now i want to tune this query for better performance
please sugg me best method
Thanks in advance
Regards
vij..The link given by Asif should get you on the right track for tuning this query.
I just formatted your SQL:
SELECT Trim(NAME) AS NAME,
Trim(accno) AS accno,
Trim(connaddress) AS connaddress,
Trim(category) AS category,
Trim(landmark) AS landmark,
Substr(accno,1,3) AS subdivisionname
FROM consumermaster
WHERE Lower(accno) LIKE Lower('%'
||Nvl(caccno,'#noval#')
||'%')
OR Lower(NAME) LIKE Lower('%'
||Nvl(cname,'#noval#')
||'%')
OR Lower(connaddress) LIKE Lower('%'
||Nvl(cadd,'#noval#')
||'%')
OR phone LIKE '%'
||Nvl(cphone,'#noval#')
||'%'
OR accno = (SELECT accno
FROM requestregistration
WHERE requestid = creqid)
UNION
SELECT Trim(NAME) AS NAME,
Trim(accno) AS accno,
Trim(connaddress) AS connaddress,
Trim(category) AS category,
Trim(landmark) AS landmark,
Substr(accno,1,3) AS subdivisionname
FROM scodetails
WHERE Lower(accno) LIKE Lower('%'
||Nvl(caccno,'#noval#')
||'%')
OR Lower(NAME) LIKE Lower('%'
||Nvl(cname,'#noval#')
||'%')
OR Lower(connaddress) LIKE Lower('%'
||Nvl(cadd,'#noval#')
||'%')
OR phone LIKE '%'
||Nvl(cphone,'#noval#')
||'%'
OR accno = (SELECT accno
FROM requestregistration
WHERE requestid = creqid); You are using some function on almost each and every column in the where clause. Try getting rid of them as they are hindering the use of indexes, if any, on any of the columns.
Also the guidelines in the link provided are the best starting point. -
Hi,
I want to generate material wise stock report.
Report must contain the following
CNT_DESC TOTAL_BAGS TOTAL_WEIGHT
I am getting the correct result. But i have a doubt. Is there any other efficient or optimal query for solving this?
The followings are the query to retrieve data.
SELECT CT.cnt_count,
NVL(
SELECT SUM(lvyp_weight)
FROM tb_lvm_yarnprod
WHERE lvyp_deleted= 'N'
AND lvyp_countno = CT.cnt_seqno
AND lvyp_proddate <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS PROD,
NVL
SELECT SUM(lvyp_nbags)
FROM tb_lvm_yarnprod
WHERE lvyp_deleted= 'N'
AND lvyp_countno = CT.cnt_seqno
AND lvyp_proddate <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS PRODBAGS,
NVL
SELECT SUM(lypd_weight)
FROM tb_lvm_yarnpurchase, tb_lvm_yarnpurchasedet
WHERE lyp_deleted='N'
AND lypd_seqno_fk= lyp_seqno_pk
AND lypd_countno = CT.cnt_seqno
AND lyp_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS PUR,
NVL
SELECT SUM(lypd_nbags)
FROM tb_lvm_yarnpurchase, tb_lvm_yarnpurchasedet
WHERE lyp_deleted='N'
AND lypd_seqno_fk= lyp_seqno_pk
AND lypd_countno = CT.cnt_seqno
AND lyp_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS PURBAGS,
NVL
SELECT SUM(lysrd_weight)
FROM tb_lvm_yarnsalesret, tb_lvm_yarnsalesretdet
WHERE lysr_deleted='N'
AND lysrd_seqno_fk=lysr_seqno_pk
AND lysrd_countno=CT.cnt_seqno
AND lysr_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS SALERET,
NVL
SELECT SUM(lysrd_nbags)
FROM tb_lvm_yarnsalesret, tb_lvm_yarnsalesretdet
WHERE lysr_deleted='N'
AND lysrd_seqno_fk=lysr_seqno_pk
AND lysrd_countno=CT.cnt_seqno
AND lysr_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS SALERETBAGS,
NVL
SELECT SUM(lyrkd_weight)
FROM tb_lvm_yarnretfromknit, tb_lvm_yarnretfromknitdet
WHERE lyrk_deleted='N'
AND lyrkd_seqno_fk = lyrk_seqno_pk
AND lyrkd_countno =CT.cnt_seqno
AND lyrk_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS RETKNIT,
NVL
SELECT SUM(lyrkd_nbags)
FROM tb_lvm_yarnretfromknit, tb_lvm_yarnretfromknitdet
WHERE lyrk_deleted='N'
AND lyrkd_seqno_fk = lyrk_seqno_pk
AND lyrkd_countno =CT.cnt_seqno
AND lyrk_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS RETKNITBAGS,
NVL
SELECT SUM(lysd_weight)
FROM tb_lvm_yarnsales, tb_lvm_yarnsalesdet
WHERE lys_deleted='N'
AND lysd_seqno_fk = lys_seqno_pk
AND lysd_countno=CT.cnt_seqno
AND lys_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS SALE,
NVL
SELECT SUM(lysd_bags)
FROM tb_lvm_yarnsales, tb_lvm_yarnsalesdet
WHERE lys_deleted='N'
AND lysd_seqno_fk = lys_seqno_pk
AND lysd_countno=CT.cnt_seqno
AND lys_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS SALEBAGS,
NVL
SELECT SUM(yissd_weight)
FROM tb_lvm_yarnissue, tb_lvm_yarnissuedet
WHERE yiss_deleted='N'
AND yissd_countno =CT.cnt_seqno
AND yiss_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS ISS,
NVL
SELECT SUM(yissd_nbags)
FROM tb_lvm_yarnissue, tb_lvm_yarnissuedet
WHERE yiss_deleted='N'
AND yissd_countno =CT.cnt_seqno
AND yiss_date <= TO_DATE('28/12/2008', 'dd/mm/yyyy')
0
)AS ISSBAGS
FROM tb_lvm_counts CT
ORDER BY CT.cnt_count;TOTAL_BAGS = (PROD + PUR + SALERET + RETKNIT) - (SALE + ISS)
TOTAL_WEIGHT = (PRODBAGS + PURBAGS + SALERETBAGS + RETKNITBAGS) - (SALEBAGS + ISSBAGS)
Will it get slow, while data gets increased? Is there any other efficient way for solving the above?
Thanks & RegardsHi,
Thank you for all your valuable replies....
See the followings are the table design... I hope now you can understand clearly...
SQL> desc tb_lvm_counts;
Name Null? Type
CNT_COUNT VARCHAR2(20)
CNT_SEQNO NOT NULL NUMBER
SQL> desc tb_lvm_yarnprod;
Name Null? Type
LVYP_SEQNO_PK NOT NULL NUMBER
LVYP_PRODDATE NOT NULL DATE
LVYP_COUNTNO NOT NULL NUMBER
LVYP_LOTNO VARCHAR2(5)
LVYP_NBAGS NUMBER
LVYP_WEIGHT NOT NULL NUMBER(13,3)
LVYP_BAGNO VARCHAR2(15)
LVYP_DELETED VARCHAR2(1)
SQL> desc tb_lvm_yarnpurchase;
Name Null? Type
LYP_SEQNO_PK NOT NULL NUMBER
LYP_INVNO NOT NULL VARCHAR2(15)
LYP_PARTYNO NOT NULL NUMBER
LYP_JOBNO NOT NULL VARCHAR2(10)
LYP_INVAMOUNT NUMBER(12,2)
LYP_RCPDATE NOT NULL DATE
LYP_DATE NOT NULL DATE
LYP_VEHNO VARCHAR2(15)
LYP_FREIGHT NUMBER
LYP_DELETED VARCHAR2(1)
SQL> desc tb_lvm_yarnpurchasedet;
Name Null? Type
LYPD_SEQNO_FK NOT NULL NUMBER
LYPD_COUNTNO NOT NULL NUMBER
LYPD_NBAGS NUMBER
LYPD_LOTNO VARCHAR2(5)
LYPD_WEIGHT NOT NULL NUMBER(13,3)
LYPD_SEQNO_PK NOT NULL NUMBER
SQL> desc tb_lvm_yarnsalesret;
Name Null? Type
LYSR_SEQNO_PK NOT NULL NUMBER
LYSR_INVNO NOT NULL VARCHAR2(10)
LYSR_PARTYNO NOT NULL NUMBER
LYSR_JOBNO NOT NULL VARCHAR2(15)
LYSR_RCPDATE NOT NULL DATE
LYSR_DATE NOT NULL DATE
LYSR_REMARKS VARCHAR2(100)
LYSR_DELETED VARCHAR2(1)
SQL> desc tb_lvm_yarnsalesretdet;
Name Null? Type
LYSRD_SEQNO_FK NOT NULL NUMBER
LYSRD_COUNTNO NOT NULL NUMBER
LYSRD_LOTNO VARCHAR2(5)
LYSRD_NBAGS NUMBER
LYSRD_WEIGHT NOT NULL NUMBER(13,3)
LYSRD_SEQNO_PK NOT NULL NUMBER
SQL> desc tb_lvm_yarnretfromknit;
Name Null? Type
LYRK_SEQNO_PK NOT NULL NUMBER
LYRK_DCNO NOT NULL VARCHAR2(15)
LYRK_DATE NOT NULL DATE
LYRK_REMARKS VARCHAR2(100)
LYRK_DELETED VARCHAR2(1)
SQL> desc tb_lvm_yarnretfromknitdet;
Name Null? Type
LYRKD_SEQNO_FK NOT NULL NUMBER
LYRKD_COUNTNO NOT NULL NUMBER
LYRKD_LOTNO VARCHAR2(5)
LYRKD_NBAGS NUMBER
LYRKD_WEIGHT NOT NULL NUMBER(13,3)
LYRKD_SEQNO_PK NOT NULL NUMBER
SQL> desc tb_lvm_yarnsales;
Name Null? Type
LYS_SEQNO_PK NOT NULL NUMBER
LYS_INVNO NOT NULL VARCHAR2(15)
LYS_PARTYNO NOT NULL NUMBER
LYS_JOBNO NOT NULL VARCHAR2(10)
LYS_DATE NOT NULL DATE
LYS_BAGNO VARCHAR2(10)
LYS_DELETED VARCHAR2(1)
SQL> desc tb_lvm_yarnsalesdet;
Name Null? Type
LYSD_SEQNO_FK NOT NULL NUMBER
LYSD_COUNTNO NOT NULL NUMBER
LYSD_LOTNO VARCHAR2(5)
LYSD_BAGS NUMBER
LYSD_WEIGHT NOT NULL NUMBER(13,3)
LYSD_SEQNO_PK NOT NULL NUMBER
SQL> desc tb_lvm_yarnissue;
Name Null? Type
YISS_PONO NOT NULL VARCHAR2(10)
YISS_DCNO NOT NULL VARCHAR2(10)
YISS_DATE NOT NULL DATE
YISS_SEQNO NOT NULL NUMBER
YISS_DATETIME DATE
YISS_DELETED VARCHAR2(1)
YISS_BAGNO VARCHAR2(15)
SQL> desc tb_lvm_yarnissuedet;
Name Null? Type
YISSD_SEQNO_FK NOT NULL NUMBER
YISSD_LOT VARCHAR2(5)
YISSD_COUNTNO NOT NULL NUMBER
YISSD_WEIGHT NOT NULL NUMBER(13,3)
YISSD_SEQNO_PK NOT NULL NUMBER
YISSD_NBAGS NUMBERThanks & Regards -
Regex help for SQL update statement
Hello,
need help from IPS regex guru - trying to build the signature to detect SQL update statement in HTTP requests.
1) Am I correct with regex below specified as Request-Regex?
[Uu][Pp][Dd][Aa][Tt][Ee]([%]20|[+])[\x20-\x7e]+[Ss][Ee][Tt]([%]20|[+])[\x20-\x7e]+=
2) How do I make sure that it detects 'Update' in URI and Arguments only and not in the body on entire webserver response (currently looks like the case)?1) It looks correct to me
2) Typically, the "service HTTP" engine is used to inspect requests and the "TCP string" engine is used to inspect HTTP server responses. If you only want to inspect requests, use the service HTTP engine. -
Select statement help for sql/oracle newbie
I have a db for a fake airline. i have a route table that has columns for "FIRST_CLASS_FARE", "COACH_FARE", and "ECONOMY_FARE". I then have a flight table that references the route#, then a trip table that references the flight#. I also have a passenger table and a reservation table that has the passenger # in it. The reservation table also has a column called "reservation class" that has a 'f' for first class fare, 'c' for coach fare, 'e' for economy fare.
What I am trying to do is create a fill for each individual passenger that shows the total amount they spent on all of their reservations.
Any suggestions on how to join the tables to create this bill?
Thanks in advance!Is it the way the passenger table has columns and is populated,
for a passenger A, takes a route - 1 with First class fare - $2500 on flight- B123, to a trip - t1 and reserved for class - 'f'
If this is the way, then you get the bill from the fare column -
Pls Help for Sql Loader utility
Dear friends,
I want to execute Sql Loader utility by procedure.
Can anyone give me any idea about it.
Thanks in adavance.Why?
Why build a kludgy and unscalable application?
Sybrand Bakker
Senior Oracle DBA -
Hi Friends,
I am using below query to genearet one report.
{code}
distinct a.plan_id,
(SELECT external_plan_ref
FROM bk9_t_plan
WHERE plan_id = a.plan_id)
"EXT_PAN_REF",
(SELECT external_plan_ref
FROM bk9_t_plan
WHERE plan_id = b.depends_on_ba_plan_id)
"EXT_PAN_REF1",
(SELECT external_plan_ref
FROM bk9_t_plan
WHERE plan_id = c.drp_plan_id)
"EXT_PAN_REF2",
(SELECT external_plan_ref
FROM bk9_t_plan
WHERE plan_id = d.srp_plan_id)
"EXT_PAN_REF3",
(SELECT external_plan_ref
FROM bk9_t_plan
WHERE plan_id = e.DRP_TO_DRP_PLAN_ID)
"EXT_PAN_REF4",
(SELECT external_plan_ref
FROM bk9_t_plan
WHERE plan_id = f.srp_plan_id)
"EXT_PAN_REF5"
FROM BK9_T_BUSINESS_ACTIVITY a,
BK9_T_BA_DEPENDENCY b,
BK9_T_BA_DRP_DEP c,
BK9_T_BA_SRP_DEP d,
BK9_T_DRP_DEPENDENCY e,
BK9_T_SYSTEM_DEPENDENCY f
WHERE a.plan_id = b.ba_to_ba_plan_id
AND a.plan_id = c.ba_plan_id
AND a.plan_id = d.ba_plan_id
AND c.drp_plan_id = e.DRP_TO_DRP_PLAN_ID
AND e.DRP_TO_DRP_PLAN_ID = f.drp_plan_id
{code}
My output is like this :
{code}
22767 19093 19095 19049 19049 19059
22767 19093 19095 19049 19049 19060
22767 19093 19095 19062 19062 19060
22767 19093 19095 19062 19062 19061
22768 19094 19093 19062 19062 19060
22768 19094 19093 19062 19062 19061
{code}
But What i am looking is like this.
{code}
22767 19093 19095 19049 19049 19059
22767 19060
22767 19093 19095 19062 19062 19060
22767 19061
22768 19094 19093 19062 19062 19060
22768 19061
{code}
Please help.Hi,
Could you please illuminate our minds and spend a bit of time in explaining the logic? That will be much easier without reading the crystal ball which nobody has it here.
Please read: Re: 2. How do I ask a question on the forums?
And please provide sample data (create table and insert statement), description of the logic, database version and everything else which is specified in the FAQ
Regards.
Al -
Need help for SQL Query last 5 mins Records.
I need the data between the last five minutes from a table which contains Timeid Column and data type is date.
select sysdate,(sysdate-((mod(extract(minutes from systimestamp),5)+5)/24/60)-((extract(second from systimestamp))/24/60/60)) Start_date,
(sysdate-((mod(extract(minutes from systimestamp),5))/24/60)-((extract(second from systimestamp))/24/60/60)) End_Date;
Suppose now the current time is 01:20:00PM then the output should be from
Current Date & Time Start Date & Time End Date & Time
10/18/2007 01:20:00 10/18/2007 01:10:01 10/18/2007 01:15:00
Suppose now the current time is 01:20:01 then the output should be from
Current Date & Time Start Date & Time End Date & Time
10/18/2007 01:20:01 10/18/2007 01:15:01 10/18/2007 01:20:00
The output i am getting where as i need the output shown above.
Current Date & Time Start Date & Time End Date & Time
10/18/2007 01:20:01 10/18/2007 01:14:59 10/18/2007 01:19:59SQL> select sysdate,
2 sysdate -
3 (decode(mod(to_number(to_char(sysdate,'sssss')),300),0,300,
4 mod(to_number(to_char(sysdate,'sssss')),300))+300)/(24*60*60 )
5 st_time,
6 sysdate -
7 decode(mod(to_number(to_char(sysdate,'sssss')),300),0,300,
8 mod(to_number(to_char(sysdate,'sssss')),300))/(24*60*60 )
9 end_time
10 from dual;
SYSDATE ST_TIME END_TIME
18-oct-2007 16:39:46 18-oct-2007 16:30:00 18-oct-2007 16:35:00
SQL> /
SYSDATE ST_TIME END_TIME
18-oct-2007 16:39:59 18-oct-2007 16:30:00 18-oct-2007 16:35:00
SQL> /
SYSDATE ST_TIME END_TIME
18-oct-2007 16:40:00 18-oct-2007 16:30:00 18-oct-2007 16:35:00
SQL> /
SYSDATE ST_TIME END_TIME
18-oct-2007 16:40:01 18-oct-2007 16:35:00 18-oct-2007 16:40:00 -
Hi all,
Can we seek for help in SQL?
I have an system analysis which calculate the concurrent usage of a computer system.
I have add all data which is stored in .CSV file and then insert into a table named as Activity.
Can we select the data from activity and generate an Excel file which report the calculation on the concurrent usage of a computer system?fionanycheng wrote:
Hi all,
Can we seek for help in SQL?
I have an system analysis which calculate the concurrent usage of a computer system.
I have add all data which is stored in .CSV file and then insert into a table named as Activity.
Can we select the data from activity and generate an Excel file which report the calculation on the concurrent usage of a computer system?
So, you have data in a .csv file
Then you load that data into a relational database.
Now you want to select that data and place it back into a file for Excel ......
Hmm.. Makes me wonder why you bothered with the database in the middle.
the database itself is more than capable of efficiently performing your calculations (assuming a reasonably rational table design).
Maybe you could provide a better description of the business problem to be solved, instead of a pre-conceived (and possibly ill-conceived) technical solution to that unspecified business problem. The we could provide better advice. -
Help! Licence for SQL Server 2008 VM on Windows 2012
I am confused by latest Microsoft Virtual server licence for SQL Server 2008.
We have a Hyper-V host running Windows Server 2012 R2 Datacenter. Displayed in its Task Manager, it has 16 cores and 32 logical processors (with hyper-threading turned on). A SQL Server VM is running on this host with 10 Virtual processors (showing from Hper-V
Manager). The SQL Server edition is SQL Server 2008 Standard.
We are using "Per Core Licensing Model". Now, the question is how many licences we need to purchase for the above SQL Server?
There are "SQL Server 2008 Licensing Guide", "Microsoft SQL Server 2012 Virtualization Licensing Guide" and "Microsoft SQL Server 2014 Licensing Guide". But none of them covers this scenario, which is running SQL Server 2008 on
Windows 2012 Hyper-V host Server.
Could you please provide me your opinion: Should I license 10 cores for the SQL Server VM or license 5 cores (because the hyper-threading on physical server) ? Thank you very much in advance!I am confused by latest Microsoft Virtual server licence for SQL Server 2008.
We have a Hyper-V host running Windows Server 2012 R2 Datacenter. Displayed in its Task Manager, it has 16 cores and 32 logical processors (with hyper-threading turned on). A SQL Server VM is running on this host with 10 Virtual processors (showing from Hper-V
Manager). The SQL Server edition is SQL Server 2008 Standard.
We are using "Per Core Licensing Model". Now, the question is how many licences we need to purchase for the above SQL Server?
There are "SQL Server 2008 Licensing Guide", "Microsoft SQL Server 2012 Virtualization Licensing Guide" and "Microsoft SQL Server 2014 Licensing Guide". But none of them covers this scenario, which is running SQL Server 2008 on
Windows 2012 Hyper-V host Server.
Could you please provide me your opinion: Should I license 10 cores for the SQL Server VM or license 5 cores (because the hyper-threading on physical server) ? Thank you very much in advance! -
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... -
Increase Performance and ROI for SQL Server Environments
May 2015
Explore
The Buzz from Microsoft Ignite 2015
NetApp was in full force at the recent Microsoft Ignite show in Chicago, talking about solutions for hybrid cloud, and our proven solutions for Microsoft SQL Server and other Microsoft applications.
Hot topics at the NetApp booth included:
OnCommand® Shift. A revolutionary technology that lets you move virtual machines back and forth between VMware and Hyper-V environments in minutes.
Azure Site Recovery to NetApp Private Storage. Replicate on-premises SAN-based applications to NPS for disaster recovery in the Azure cloud.
These tools give you greater flexibility for managing and protecting important business applications.
Chris Lemmons
Director, EIS Technical Marketing, NetApp
If your organization runs databases such as Microsoft SQL Server and Oracle DB, you probably know that these vendors primarily license their products on a "per-core" basis. Microsoft recently switched to "per-core" rather than "per-socket" licensing for SQL Server 2012 and 2014. This change can have a big impact on the total cost of operating a database, especially as core counts on new servers continue to climb. It turns out that the right storage infrastructure can drive down database costs, increase productivity, and put your infrastructure back in balance.
In many customer environments, NetApp has noticed that server CPU utilization is low—often on the order of just 20%. This is usually the result of I/O bottlenecks. Server cores have to sit and wait for I/O from hard disk drives (HDDs). We've been closely studying the impact of all-flash storage on SQL Server environments that use HDD-based storage systems. NetApp® All Flash FAS platform delivers world-class performance for SQL Server plus the storage efficiency, application integration, nondisruptive operations, and data protection of clustered Data ONTAP®, making it ideal for SQL Server environments.
Tests show that All Flash FAS can drive up IOPS and database server CPU utilization by as much as 4x. And with a 95% reduction in latency, you can achieve this level of performance with half as many servers. This reduces the number of servers you need and the number of cores you have to license, driving down costs by 50% or more and paying back your investment in flash in as little as six months.
Figure 1) NetApp All Flash FAS increases CPU utilization on your SQL Server database servers, lowering costs.
Source: NetApp, 2015
Whether you're running one of the newer versions of SQL Server or facing an upgrade of an earlier version, you can't afford not to take a second look at your storage environment.
End of Support for Microsoft SQL Server 2005 is Rapidly Approaching
Microsoft has set the end of extended support for SQL Server 2005 for April 2016—less than a year away. With support for Microsoft Windows 2003 ending in July 2015, time may already be running short.
If you're running Windows Server 2003, new server hardware is almost certainly needed when you upgrade SQL Server. Evaluate your server and storage options now to get costs under control.
Test Methodology
To test the impact of flash on SQL Server performance, we replaced a legacy HDD-based storage system with an All Flash FAS AFF8080 EX. The legacy system was configured with almost 150 HDDs, a typical configuration for HDD storage supporting SQL Server. The AFF8080 EX used just 48 SSDs.
Table 1) Components used in testing.
Test Configuration Components
Details
SQL Server 2014 servers
Fujitsu RX300
Server operating system
Microsoft Windows 2012 R2 Standard Edition
SQL Server database version
Microsoft SQL Server 2014 Enterprise Edition
Processors per server
2 6-core Xeon E5-2630 at 2.30 GHz
Fibre channel network
8Gb FC with multipathing
Storage controller
AFF8080 EX
Data ONTAP version
Clustered Data ONTAP® 8.3.1
Drive number and type
48 SSD
Source: NetApp, 2015
The test configuration consisted of 10 database servers connected through fibre channel to both the legacy storage system and the AFF8080 EX. Each of the 10 servers ran SQL Server 2014 Enterprise Edition.
The publicly available HammerDB workload generator was used to drive an OLTP-like workload simultaneously from each of the 10 database servers to storage. We first directed the workload to the legacy storage array to establish a baseline, increasing the load to the point where read latency consistently exceeded 20ms.
That workload was then directed at the AFF8080 EX. The change in storage resulted in an overall 20x reduction in read latency, a greater than 4x improvement in IOPS, and a greater than 4x improvement in database server CPU utilization.
Figure 2) NetApp All Flash FAS increases IOPS and server CPU utilization and lowers latency.
Source: NetApp, 2015
In other words, the database servers are able to process four times as many IOPS with dramatically lower latency. CPU utilization goes up accordingly because the servers are processing 4x the work per unit time.
The All Flash FAS system still had additional headroom under this load.
Calculating the Savings
Let's look at what this performance improvement means for the total cost of running SQL Server 2014 over a 3-year period. To do the analysis we used NetApp Realize, a storage modeling and financial analysis tool designed to help quantify the value of NetApp solutions and products. NetApp sales teams and partners use this tool to assist with return on investment (ROI) calculations.
The calculation includes the cost of the AFF8080 EX, eliminates the costs associated with the existing storage system, and cuts the total number of database servers from 10 to five. This reduces SQL Server licensing costs by 50%. The same workload was run with five servers and achieved the same results. ROI analysis is summarized in Table 2.
Table 2) ROI from replacing an HDD-based storage system with All Flash FAS, thereby cutting server and licensing costs in half.
Value
Analysis Results
ROI
65%
Net present value (NPV)
$950,000
Payback period
six months
Total cost reduction
More than $1 million saved over a 3-year analysis period compared to the legacy storage system
Savings on power, space, and administration
$40,000
Additional savings due to nondisruptive operations benefits (not included in ROI)
$90,000
Source: NetApp, 2015
The takeaway here is that you can replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs, with the majority of the savings derived from the reduction in SQL Server licensing costs.
Replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs.
Maximum SQL Server 2014 Performance
In addition to the ROI analysis, we also measured the maximum performance of the AFF8080 EX with SQL Server 2014. A load-generation tool was used to simulate an industry-standard TPC-E OLTP workload against an SQL Server 2014 test configuration.
A two-node AFF8080 EX achieved a maximum throughput of 322K IOPS at just over 1ms latency. For all points other than the maximum load point, latency was consistently under 1ms and remained under 0.8ms up to 180K IOPS.
Data Reduction and Storage Efficiency
In addition to performance testing, we looked at the overall storage efficiency savings of our SQL Server database implementation. The degree of compression that can be achieved is dependent on the actual data that is written and stored in the database. For this environment, inline compression was effective. Deduplication, as is often the case in database environments, provided little additional storage savings and was not enabled.
For the test data used in the maximum performance test, we measured a compression ratio of 1.5:1. We also tested inline compression on a production SQL Server 2014 data set to further validate these results and saw a 1.8:1 compression ratio.
Space-efficient NetApp Snapshot® copies provide additional storage efficiency benefits for database environments. Unlike snapshot methods that use copy-on-write, there is no performance penalty; unlike full mirror copies, NetApp Snapshot copies use storage space sparingly. Snapshot copies only consume a small amount of storage space for metadata and additional incremental space is consumed as block-level changes occur. In a typical real-world SQL Server deployment on NetApp storage, database volume Snapshot copies are made every two hours.
First introduced more than 10 years ago, NetApp FlexClone® technology also plays an important role in SQL Server environments. Clones are fully writable, and, similar to Snapshot copies, only consume incremental storage capacity. With FlexClone, you can create as many copies of production data as you need for development and test, reporting, and so on. Cloning is a great way to support the development and test work needed when upgrading from an earlier version of SQL Server. You'll sometimes see these types of capabilities referred to as "copy data management."
A Better Way to Run Enterprise Applications
The performance benefits that all-flash storage can deliver for database environments are significant: more IOPS, lower latency, and an end to near-constant performance tuning.
If you think the performance acceleration that comes with all-flash storage is cost prohibitive, think again. All Flash FAS doesn't just deliver a performance boost, it changes the economics of your operations, paying for itself with thousands in savings on licensing and server costs. In terms of dollars per IOPS, All Flash FAS is extremely economical relative to HDD.
And, because All Flash FAS runs NetApp clustered Data ONTAP, it delivers the most complete environment to support SQL Server and all your enterprise applications with capabilities that include comprehensive storage efficiency, integrated data protection, and deep integration for your applications.
For complete details on this testing look for NetApp TR-4303, which will be available in a few weeks. Stay tuned to Tech OnTap for more information as NetApp continues to run benchmarks with important server workloads including Oracle DB and server virtualization.
Learn more about NetApp solutions for SQL Server and NetApp All-flash solutions.
Quick Links
Tech OnTap Community
Archive
PDFMay 2015
Explore
The Buzz from Microsoft Ignite 2015
NetApp was in full force at the recent Microsoft Ignite show in Chicago, talking about solutions for hybrid cloud, and our proven solutions for Microsoft SQL Server and other Microsoft applications.
Hot topics at the NetApp booth included:
OnCommand® Shift. A revolutionary technology that lets you move virtual machines back and forth between VMware and Hyper-V environments in minutes.
Azure Site Recovery to NetApp Private Storage. Replicate on-premises SAN-based applications to NPS for disaster recovery in the Azure cloud.
These tools give you greater flexibility for managing and protecting important business applications.
Chris Lemmons
Director, EIS Technical Marketing, NetApp
If your organization runs databases such as Microsoft SQL Server and Oracle DB, you probably know that these vendors primarily license their products on a "per-core" basis. Microsoft recently switched to "per-core" rather than "per-socket" licensing for SQL Server 2012 and 2014. This change can have a big impact on the total cost of operating a database, especially as core counts on new servers continue to climb. It turns out that the right storage infrastructure can drive down database costs, increase productivity, and put your infrastructure back in balance.
In many customer environments, NetApp has noticed that server CPU utilization is low—often on the order of just 20%. This is usually the result of I/O bottlenecks. Server cores have to sit and wait for I/O from hard disk drives (HDDs). We've been closely studying the impact of all-flash storage on SQL Server environments that use HDD-based storage systems. NetApp® All Flash FAS platform delivers world-class performance for SQL Server plus the storage efficiency, application integration, nondisruptive operations, and data protection of clustered Data ONTAP®, making it ideal for SQL Server environments.
Tests show that All Flash FAS can drive up IOPS and database server CPU utilization by as much as 4x. And with a 95% reduction in latency, you can achieve this level of performance with half as many servers. This reduces the number of servers you need and the number of cores you have to license, driving down costs by 50% or more and paying back your investment in flash in as little as six months.
Figure 1) NetApp All Flash FAS increases CPU utilization on your SQL Server database servers, lowering costs.
Source: NetApp, 2015
Whether you're running one of the newer versions of SQL Server or facing an upgrade of an earlier version, you can't afford not to take a second look at your storage environment.
End of Support for Microsoft SQL Server 2005 is Rapidly Approaching
Microsoft has set the end of extended support for SQL Server 2005 for April 2016—less than a year away. With support for Microsoft Windows 2003 ending in July 2015, time may already be running short.
If you're running Windows Server 2003, new server hardware is almost certainly needed when you upgrade SQL Server. Evaluate your server and storage options now to get costs under control.
Test Methodology
To test the impact of flash on SQL Server performance, we replaced a legacy HDD-based storage system with an All Flash FAS AFF8080 EX. The legacy system was configured with almost 150 HDDs, a typical configuration for HDD storage supporting SQL Server. The AFF8080 EX used just 48 SSDs.
Table 1) Components used in testing.
Test Configuration Components
Details
SQL Server 2014 servers
Fujitsu RX300
Server operating system
Microsoft Windows 2012 R2 Standard Edition
SQL Server database version
Microsoft SQL Server 2014 Enterprise Edition
Processors per server
2 6-core Xeon E5-2630 at 2.30 GHz
Fibre channel network
8Gb FC with multipathing
Storage controller
AFF8080 EX
Data ONTAP version
Clustered Data ONTAP® 8.3.1
Drive number and type
48 SSD
Source: NetApp, 2015
The test configuration consisted of 10 database servers connected through fibre channel to both the legacy storage system and the AFF8080 EX. Each of the 10 servers ran SQL Server 2014 Enterprise Edition.
The publicly available HammerDB workload generator was used to drive an OLTP-like workload simultaneously from each of the 10 database servers to storage. We first directed the workload to the legacy storage array to establish a baseline, increasing the load to the point where read latency consistently exceeded 20ms.
That workload was then directed at the AFF8080 EX. The change in storage resulted in an overall 20x reduction in read latency, a greater than 4x improvement in IOPS, and a greater than 4x improvement in database server CPU utilization.
Figure 2) NetApp All Flash FAS increases IOPS and server CPU utilization and lowers latency.
Source: NetApp, 2015
In other words, the database servers are able to process four times as many IOPS with dramatically lower latency. CPU utilization goes up accordingly because the servers are processing 4x the work per unit time.
The All Flash FAS system still had additional headroom under this load.
Calculating the Savings
Let's look at what this performance improvement means for the total cost of running SQL Server 2014 over a 3-year period. To do the analysis we used NetApp Realize, a storage modeling and financial analysis tool designed to help quantify the value of NetApp solutions and products. NetApp sales teams and partners use this tool to assist with return on investment (ROI) calculations.
The calculation includes the cost of the AFF8080 EX, eliminates the costs associated with the existing storage system, and cuts the total number of database servers from 10 to five. This reduces SQL Server licensing costs by 50%. The same workload was run with five servers and achieved the same results. ROI analysis is summarized in Table 2.
Table 2) ROI from replacing an HDD-based storage system with All Flash FAS, thereby cutting server and licensing costs in half.
Value
Analysis Results
ROI
65%
Net present value (NPV)
$950,000
Payback period
six months
Total cost reduction
More than $1 million saved over a 3-year analysis period compared to the legacy storage system
Savings on power, space, and administration
$40,000
Additional savings due to nondisruptive operations benefits (not included in ROI)
$90,000
Source: NetApp, 2015
The takeaway here is that you can replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs, with the majority of the savings derived from the reduction in SQL Server licensing costs.
Replace your existing storage with All Flash FAS and get a big performance bump while substantially reducing your costs.
Maximum SQL Server 2014 Performance
In addition to the ROI analysis, we also measured the maximum performance of the AFF8080 EX with SQL Server 2014. A load-generation tool was used to simulate an industry-standard TPC-E OLTP workload against an SQL Server 2014 test configuration.
A two-node AFF8080 EX achieved a maximum throughput of 322K IOPS at just over 1ms latency. For all points other than the maximum load point, latency was consistently under 1ms and remained under 0.8ms up to 180K IOPS.
Data Reduction and Storage Efficiency
In addition to performance testing, we looked at the overall storage efficiency savings of our SQL Server database implementation. The degree of compression that can be achieved is dependent on the actual data that is written and stored in the database. For this environment, inline compression was effective. Deduplication, as is often the case in database environments, provided little additional storage savings and was not enabled.
For the test data used in the maximum performance test, we measured a compression ratio of 1.5:1. We also tested inline compression on a production SQL Server 2014 data set to further validate these results and saw a 1.8:1 compression ratio.
Space-efficient NetApp Snapshot® copies provide additional storage efficiency benefits for database environments. Unlike snapshot methods that use copy-on-write, there is no performance penalty; unlike full mirror copies, NetApp Snapshot copies use storage space sparingly. Snapshot copies only consume a small amount of storage space for metadata and additional incremental space is consumed as block-level changes occur. In a typical real-world SQL Server deployment on NetApp storage, database volume Snapshot copies are made every two hours.
First introduced more than 10 years ago, NetApp FlexClone® technology also plays an important role in SQL Server environments. Clones are fully writable, and, similar to Snapshot copies, only consume incremental storage capacity. With FlexClone, you can create as many copies of production data as you need for development and test, reporting, and so on. Cloning is a great way to support the development and test work needed when upgrading from an earlier version of SQL Server. You'll sometimes see these types of capabilities referred to as "copy data management."
A Better Way to Run Enterprise Applications
The performance benefits that all-flash storage can deliver for database environments are significant: more IOPS, lower latency, and an end to near-constant performance tuning.
If you think the performance acceleration that comes with all-flash storage is cost prohibitive, think again. All Flash FAS doesn't just deliver a performance boost, it changes the economics of your operations, paying for itself with thousands in savings on licensing and server costs. In terms of dollars per IOPS, All Flash FAS is extremely economical relative to HDD.
And, because All Flash FAS runs NetApp clustered Data ONTAP, it delivers the most complete environment to support SQL Server and all your enterprise applications with capabilities that include comprehensive storage efficiency, integrated data protection, and deep integration for your applications.
For complete details on this testing look for NetApp TR-4303, which will be available in a few weeks. Stay tuned to Tech OnTap for more information as NetApp continues to run benchmarks with important server workloads including Oracle DB and server virtualization.
Learn more about NetApp solutions for SQL Server and NetApp All-flash solutions.
Quick Links
Tech OnTap Community
Archive
PDF -
GeoRaptor 3.0 for SQL Developer 3.0 and 2.1 has now been released
Folks,
I am pleased to announce that, after 5 months of development and testing, a new release of GeoRaptor for SQL Developer 2.1 and 3.0 is now available.
GeoRaptor for SQL Developer 3 is available via the SQL Developer Update centre. GeoRaptor 3 for SQL Developer 2.1 is being made available
via a download fro the GeoRaptor website.
No release notes have been compiled as the principal developer (oops, that's me!) is currently busy doing real work for a change (another 3 weeks), earning a living
and keeping the wolves at bay. More extensive notes (with images) will be compiled when I get back. (Unless anyone is offering! See next.)
We are still looking for people to:
1. Provide translations of the English dialog menus etc.
2. Write more extensive user documentation. If you use a particular part of GeoRaptor a lot and think
you have found out all its functionality and quirks, contact us and offer to write a few pages of
documentation on it. (Open Office or Microsoft Word is fine.) Easiest way to do this is to simply
make screen captures and annotate with text.
3. Conduct beta testing.
Here are the things that are in the new release.
New functionality:
Overhaul of Validation Functionality.
1. User can specify own validation SELECT SQL as long as it returns three required columns. The SQL is thus totally editable.
2. Validation update code now allows user to associate a PL/SQL function with an error number which is applied in the UPDATE SQL.
3. UPDATE SQL can use WHERE clause of validation SELECT SQL (1) to update specific errors.
NOTE: The generated UPDATE statement can be manually edited. It is NEVER run by GeoRaptor. To run any UPDATE, copy the statement
to the clipboard and run in an appropriate SQL Worksheet session within SQL Developer.
4. Main validation table allows:
a. Sorting (click on column header) and
b. Filtering.
c. Copying to Clipboard via right mouse click sub menu of:
- Geometry's SDO_ELEM_INFO array constructor.
- SDO_GEOMETRY constructor
- Error + validation string.
d. Access to Draw/Zoom functions which were previously buttons.
e. Added a new right mouse click menu "Show Feature's Individual Errors" that gathers up all the errors
it can process - along with the ring / element that is host to the error (if it can) - and displays
them in the Attribute/Geometry tabs at the bottom of the Map Window (where "Identify" places its results).
The power of this will be evident to all those who have wanted a way of stepping through errors in a geometry.
f. Selected rows can now be deleted (select rows: press <DELETE> key or right mouse click>Delete).
g. Table now has only one primary key column, and has a separate error column holding the actual error code.
h. Right mouse click men added to table menu to display description of error in the new column (drawn from Oracle documentation)
i. Optimisations added to improve performance for large error lists.
5. Functionality now has its own validation layer that is automatically added to the correct view.
Access to layer properties via button on validation dialog or via normal right mouse click in view/layer tree.
Improved Rendering Options.
1. Linestring colour can now be random or drawn from column in database (as per Fill and Point colouring)
2. Marking of SDO_GEOMETRY objects overhauled.
- Ability to mark or LABEL vertices/points of all SDO_GEOMETRY types with coordinate identifier and
option {X,Y} location. Access is via Labelling tab in layer>properties. Thus, coordinate 25 of a linestring
could be shown as: <25> or {x,y} or <25> {x,y}
- There is a nice "stacked" option where the coordinate {x,y} can be written one line below the id.
- For linestrings and polygons the <id> {x,y} label can be oriented to the angle between the vectors or
edges that come in, and go out of, a vertex. Access is via "Orient" tick box in Labelling tab.
- Uses Tools>Preferences>GeoRaptor>Visualisation>SDO_ORDINATE_ARRAY bracket around x,y string.
3. Start point of linestring/polygon and all other vertices can be marked with user selectable point marker
rather than previously fixed markers.
4. Can now set a NULL point marker by selecting "None" for point marker style pulldown menu.
5. Positioning of the arrow for linestring/polygons has extra options:
* NONE
* START - All segments of a line have the arrow positioned at the start
* MIDDLE - All segments of a line have the arrow positioning in the middle.
* END - All segments of a line have the arrow positioning in the END.
* END_ONLY - Only the last segment has an arrow and at its end.
ScaleBar.
1. A new graphic ScaleBar option has been added for the map of each view.
For geographic/geodetic SRIDs distances are currently shown in meters;
For all SRIDs an attempt is made to "adapt" the scaleBar units depending
on the zoom level. So, if you zoom right in you might get the distance shown
as mm, and as you zoom out, cm/m/km as appropriate.
2. As the scaleBar is drawn, a 1:<DEMONINATOR> style MapScale value is written
to the map's right most status bar element.
3. ScaleBar and MapScale can be turned off/on in View>Properties right mouse
click menu.
Export Capabilities.
1. The ability to export a selection from a result set table (ie result of
executing ad-hoc SQL SELECT statement to GML, KML, SHP/TAB (TAB file
adds TAB file "wrapper" over SHP) has been added.
2. Ability to export table/view/materialised view to GML, KML, SHP/TAB also
added. If no attributes are selected when exporting to a SHP/TAB file, GeoRaptor
automatically adds a field that holds a unique row number.
3. When exporting to KML:
* one can optionally export attributes.
* Web sensitive characters < > & etc for KML export are replaced with > < & etc.
* If a column in the SELECTION or table/view/Mview equals "name" then its value is
written to the KML tag <name> and not to the list of associated attributes.
- Similarly for "description" -> <description> AND "styleUrl" -> <styleUrl>
4. When exporting to GML one can optionally export attributes in FME or OGR "flavour".
5. Exporting Measured SDO_GEOMETRY objects to SHP not supported until missing functionality
in GeoTools is corrected (working with GeoTools community to fix).
6. Writing PRJ and MapInfo CoordSys is done by pasting a string into appropriate export dialog box.
Last value pasted is remembered between sessions which is useful for users who work with a single SRID.
7. Export directory is remembered between sessions in case a user uses a standard export directory.
8. Result sets containing MDSYS.SDO_POINT and/or MDSYS.VERTEX_TYPE can also be written to GML/KML/SHP/TAB.
Example:
SELECT a.geom.sdo_point as point
FROM (SELECT sdo_geometry(2002,null,sdo_point_type(1,2,null),sdo_elem_info_array(1,2,1),sdo_ordinate_array(1,1,2,2)) as geom
FROM DUAL) a;
SELECT mdsys.vertex_type(a.x,a.y,a.z,a.w,a.v5,a.v6,a.v7,a.v8,a.v9,a.v10,a.v11,a.id) as vertex
FROM TABLE(mdsys.sdo_util.getVertices(mdsys.sdo_geometry(2002,null,null,sdo_elem_info_array(1,2,1),sdo_ordinate_array(1,1,2,2)))) a;
9. A dialog appears at the end of each export which details (eg total) what was exported when the exported recordset/table contains more
than on shape type. For example, if you export only points eg 2001/3001 from a table that also contains multipoints eg 2005/3005 then
the number of points exported, and multipoints skipped will be displayed.
10. SHP/TAB export is "transactional". If you set the commit interval to 100 then only 100 records are held in memory before writing.
However, this does not currently apply to the associated DBASE records.
11. SHP/TAB export supports dBase III, dBase III + Memo, dBase IV and dBase IV + Memo.
Note: Memo allows text columns > 255 characters to be exported. Non-Memo formats do not and any varchar2 columns will be truncated
to 255 chars. Some GIS packages support MEMO eg Manifold GIS, some do not.
12. Note. GeoRaptor does not ensure that the SRID of SDO_GEOMETRY data exported to KML is in the correct Google Projection.
Please read the Oracle documentation on how to project your data is this is necessary. An example is:
SELECT OBJECTID,
CODIGO as name,
NOME as description,
MI_STYLE,
SDO_CS.TRANSFORM(shape,'USE_SPHERICAL',4055) as shape
FROM MUB.REGIONAL;
13. NOTE: The SHP exporter uses the Java Topology Suite (JTS) to convert from SDO_GEOMETRY to the ESRI Shape format. JTS does not handle
circular curves in SDO_GEOMETRY objects you must "stroke" them using sdo_util.arc_densify(). See the Oracle documentation on how
to use this.
Miscellaneous.
1. Selection View - Measurement has been modified so that the final result only shows those geometry
types that were actually measured.
2. In Layer Properties the Miscellaneous tab has been removed because the only elements in it were the
Geometry Output options which have now been replaced by the new GML/KML/etc export capabilities.
3. Shapefile import's user entered tablename now checked for Oracle naming convention compliance.
4. Identify based on SDO_NN has been removed from GeoRaptor given the myriad problems that it seems to create across versions
and partitioned/non-partitioned tables. Instead SDO_WITHIN_DISTANCE is now used with the actual search distance (see circle
in map display): everything within that distance is returned.
5. Displaying/Not displaying embedded sdo_point in line/polygon (Jamie Keene), is now controlled by
a preference.
6. New View Menu options to switch all layers on/off
7. Tools/Preferences/GeoRaptor layout has been improved.
8. If Identify is called on a geometry a new right mouse click menu entry has been added called "Mark" which
has two sub-menus called ID and ID(X,Y) that will add the labeling to the selected geometry independently of
what the layer is set to being.
9. Two new methods for rendering an SDO_GEOMETRY object in a table or SQL recordset have been added: a) Show geometry as ICON
and b) Show geometry as THUMBNAIL. When the latter is chosen, the actual geometry is shown in an image _inside_ the row/column cell it occupies.
In addition, the existing textual methods for visualisation: WKT, KML, GML etc have been collected together with ICON and THUMBNAIL in a new
right mouse click menu.
10. Tables/Views/MViews without spatial indexes can now be added to a Spatial View. To stop large tables from killing rendering, a new preference
has been added "Table Count Limit" (default 1,000) which controls how many geometry records can be displayed. A table without a spatial
index will have its layer name rendered in Italics and will write a warning message in red to the status bar for each redraw. Adding an index
which the layer exists will be recognised by GeoRaptor during drawing and switch the layer across to normal rendering.
Some Bug Fixes.
* Error in manage metadata related to getting metadata across all schemas
* Bug with no display of rowid in Identify results fixed;
* Some fixes relating to where clause application in geometry validation.
* Fixes bug with scrollbars on view/layer tree not working.
* Problem with the spatial networks fixed. Actions for spatial networks can now only be done in the
schema of the current user, as it could happen that a user opens the tree for another schema that
has the same network as in the user's schema. Dropping a drops only the network of the current connected user.
* Recordset "find sdo_geometry cell" code has been modified so that it now appears only if a suitable geometry object is
in a recordset. Please note that there is a bug in SQL Developer (2.1 and 3.0) that causes SQL Developer to not
register a change in selection from a single cell to a whole row when one left clicks at the left-most "row number"
column that is not part of the SELECT statements user columns, as a short cut to selecting a whole row. It appears
that this is a SQL Developer bug so nothing can be done about it until it is fixed. To select a whole row, select all
cells in the row.
* Copy to clipboard of SDO_GEOMETRY with M and Z values forgot has extraneous "," at the end.
* Column based colouring of markers fixed
* Bunch of performance improvements.
* Plus (happily) others that I can't remember!If you find any bugs register a bug report at our website.
If you want to help with testing, contact us at our website.
My thanks for help in this release to:
1. John O'Toole
2. Holger Labe
3. Sandro Costa
4. Marco Giana
5. Luc van Linden
6. Pieter Minnaar
7. Warwick Wilson
8. Jody Garnett (GeoTools bug issues)
Finally, when at the Washington User Conference I explained the willingness of the GeoRaptor Team to work
for some sort of integration of our "product" with the new Spatial extension that has just been released in SQL
Developer 3.0. Nothing much has come of that initial contact and I hope more will come of it.
In the end, it is you, the real users who should and will decide the way forward. If you have ideas, wishes etc,
please contact the GeoRaptor team via our SourceForge website, or start a "wishlist" thread on this forum
expressing ideas for future functionality and integration opportunities.
regards
Simon
Edited by: sgreener on Jun 12, 2011 2:15 PMThank you for this.
I have been messing around with this last few days, and i really love the feature to pinpoint the validation errors on map.
I has always been so annoying to try pinpoint these errors using some other GIS software while doing your sql.
I have stumbled to few bugs:
1. In "Validate geometry column" dialog checking option "Use DimInfo" actually still uses value entered in tolerance text box.
I found this because in my language settings , is the decimal operators
2. In "Validate geometry column" dialog textboxs showing sql, doesn't always show everything from long lines of text (clipping text from right)
3. In "Validate geometry column" dialog the "Create Update SQL" has few bugs:
- if you have selected multiple rows from results and check the "Use Selected Geometries" the generated IN-clause in SQL with have same rowid (rowid for first selected result) for all entries
Also the other generated IN clause in WHERE-clause is missing separator if you select more than one corrective function
4. "Validate geometry column" dialog stays annoyingly top most when using "Create Update SQL" dialog
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