Difference between merge-Not matched and left outer join

Why should Merge-Not Matched be used instead of left outer join? I believe both will enable comparison of 2 tables. So what is the difference. Please advice.
mayooran99

MERGE is way to encapsulate all conditions within single statement
The equivalent implementation using join would require three different statements
1 UPDATE using INNER JOIN
1 INSERT using LEFT JOIN
and 1 DELETE using LEFT JOIN in reverse order
Both approaches work fine
so all that you need to do is left join operation to find difference you can use either
But MERGE has one additional advantage in case you need to get output from MERGE and use it for further manipulation like further insert to child table
I've explained it here
http://visakhm.blogspot.in/2014/09/t-sql-tips-multifaceted-merge-statement.html
Please Mark This As Answer if it solved your issue
Please Vote This As Helpful if it helps to solve your issue
Visakh
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Similar Messages

Problem with XMLTABLE and LEFT OUTER JOIN

Hi all.
I have one problem with XMLTABLE and LEFT OUTER JOIN, in 11g it returns correct result but in 10g it doesn't, it is trated as INNER JOIN.
SELECT * FROM v$version;
Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - Production
PL/SQL Release 11.2.0.1.0 - Production
"CORE     11.2.0.1.0     Production"
TNS for Linux: Version 11.2.0.1.0 - Production
NLSRTL Version 11.2.0.1.0 - Production
--test for 11g
CREATE TABLE XML_TEST(
     ID NUMBER(2,0),
     XML XMLTYPE
INSERT INTO XML_TEST
VALUES
     1,
     XMLTYPE
          <msg>
               <data>
                    <fields>
                         <id>g1</id>
                         <dat>data1</dat>
                    </fields>
               </data>
          </msg>
INSERT INTO XML_TEST
VALUES
     2,
     XMLTYPE
          <msg>
               <data>
                    <fields>
                         <id>g2</id>
                         <dat>data2</dat>
                    </fields>
               </data>
          </msg>
INSERT INTO XML_TEST
VALUES
     3,
     XMLTYPE
          <msg>
               <data>
                    <fields>
                         <id>g3</id>
                         <dat>data3</dat>
                    </fields>
                    <fields>
                         <id>g4</id>
                         <dat>data4</dat>
                    </fields>
                    <fields>
                         <dat>data5</dat>
                    </fields>
               </data>
          </msg>
SELECT
     t.id,
     x.dat,
     y.seqno,
     y.id_real
FROM
     xml_test t,
     XMLTABLE
          '/msg/data/fields'
          passing t.xml
          columns
               dat VARCHAR2(10) path 'dat',
               id XMLTYPE path 'id'
     )x LEFT OUTER JOIN
     XMLTABLE
          'id'
          passing x.id
          columns
               seqno FOR ORDINALITY,
               id_real VARCHAR2(30) PATH '.'
     )y ON 1=1
ID     DAT     SEQNO     ID_REAL
1     data1     1     g1
2     data2     1     g2
3     data3     1     g3
3     data4     1     g4
3     data5          Here's everything fine, now the problem:
Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - 64bi
PL/SQL Release 10.2.0.1.0 - Production
"CORE     10.2.0.1.0     Production"
TNS for HPUX: Version 10.2.0.1.0 - Production
NLSRTL Version 10.2.0.1.0 - Production
--exactly the same environment as 11g (tables and rows)
SELECT
     t.id,
     x.dat,
     y.seqno,
     y.id_real
FROM
     xml_test t,
     XMLTABLE
          '/msg/data/fields'
          passing t.xml
          columns
               dat VARCHAR2(10) path 'dat',
               id XMLTYPE path 'id'
     )x LEFT OUTER JOIN
     XMLTABLE
          'id'
          passing x.id
          columns
               seqno FOR ORDINALITY,
               id_real VARCHAR2(30) PATH '.'
     )y ON 1=1
ID     DAT     SEQNO     ID_REAL
1     data1     1     g1
2     data2     1     g2
3     data3     1     g3
3     data4     1     g4As you can see in 10g I don't have the last row, it seems that Oracle 10g doesn't recognize the LEFT OUTER JOIN.
Is this a bug?, Metalink says that sometimes we can have an ORA-0600 but in this case there is no error returned, just incorrect results.
Please help.
Regards.

Hi A_Non.
Thanks a lot, I tried with this:
SELECT
     t.id,
     x.dat,
     y.seqno,
     y.id_real
FROM
     xml_test t,
     XMLTABLE
          '/msg/data/fields'
          passing t.xml
          columns
               dat VARCHAR2(10) path 'dat',
               id XMLTYPE path 'id'
     )x,
     XMLTABLE
          'id'
          passing x.id
          columns
               seqno FOR ORDINALITY,
               id_real VARCHAR2(30) PATH '.'
     )(+) y ;And is giving me the complete output.
Thanks again.
Regards.

Display all dates between date range (Time Dimension left outer join Fact)

All,
I have done some searching around this issue but within all the posts regarding date variables, date prompts and date filtering I haven't seen one exactly answering my issue (maybe they are and I just dont have my head around it correctly yet).
My report requirement is to allow a user to select a start day and an end day. The report should show all activity between those two days - AND display 0/null on days where there is no activity. That second part is where I am getting hung up.
The tables in question are:
TimeDim
EventFact
CustomerDim
My BMM is setup as follows:
TimeDim left outer join EventFact
CustomerDim inner join EventFact
If I run a report selecting DAY from TimeDim and a measure1 from EventFact with day range 1/1/2010 - 12/31/2010 .. I get a record for every day and it looks perfect because of the left outer join between TimeDim and CustomerDim.
But .. if I add in a field from CustomerDim, select TimeDim.DAY, CustomerDim.CUSTNAME, EventFact.MEASURE1, OBIEE only returns records for the days that have EventFact records.
This is due to the fact that the TimeDim is still outer joined into EventFact but adding in CustomerDim makes OBIEE setup an inner join between those tables which then causes only data to be returned where EventFact data exists.
There is a way around this in this simple case and that is to define the relationship between CustomerDim and EventFact as an outer join as well. This will give the desired effect (but an outer join between these two tables is not the true relationship) and as I add additional dimensions and add additional logical sources to a single dimension in the BMM it gets complicated and messy.
Ive also messed with setting the driving table in the relationship, etc.. but it has not given the desired effect.
Has anyone ever encountered the need to force display all dates within a specfied range with a fact table that may not have an entry for every date?
Thanks in advance.
K
Edited by: user_K on Apr 27, 2010 11:32 AM

It worked!!!* Even my time drill downs and date based filtering still work!
That is awesome. Never would have thought of that intuitively.
Now, just need a little help understanding how it works. When I run my report and check the logs I can see that two queries are issued:
Query 1: Joins the fact table to all the associated dimensions. I even changed all the relationships to inner joins (which is what they truly are). And calculates the original measure. If I copy and paste this query into sql developer it runs fine but only returns those rows that joined to the time dimension - which is what was happening before. It is correct but I wanted a record for every time dimension record.
Query 2: Looks like the following:
select sum(0)
from timedim
where date between <dateprompt1> and <dateprompt2>
group by month *<--* this is the time dimension level specified in Query 1, so it knows to aggregate to the month level as was done in query 1
Final Question: So what is OBIEE doing ultimately, does it issue these two requests and then perform a full outer join or something to bring them together? I couldn't see anywhere in the log a complete query that I could just run to see a similar result that I was getting in Answers.
Thanks for all the help .. Id give more points if I could.
K

Left outer join problem -- need feedback

using crystal 2008
haveing prolbems with a left outerjoin to get a blank field(null) to show up.
basically i have some po line have have long descriptions or text fields that i want to include with the report. Below is my sql statement. I have written a formula with a join between 2 fields to get the report to work- this does but- it leave the polines off that do not have a long description. I have tried left outer joins but seem to be having problems. The long description field where the data is actually at is under my po.line table, although serveral area have long description fields -
*one note i had to add a duplicate table to the field to get some items in my header to work properly - not sure if this is effecting the report or not.
OK- when I set up the link to a LO join enforce from = to
and dont add the ldtext.field to the report the left outjoin works(but no long description)and all my line items show up.
1. when I keep the same join and add either just the ld.text field to the report it comes back with a error saying invalid table
2. when i use my formula that joins the ld.text and po.line and place it in the report with the same left outerjoin i get the same failure.
3. when i dont reference the ldtext(field) at all in the report it works fine w/ the lo join
4. when i Dont use a left outer join and use my formula(see below)
if not isnull(({LONGDESCRIPTION.LDTEXT }))
then {POLINE.DESCRIPTION}+{LONGDESCRIPTION.LDTEXT}
else {POLINE.DESCRIPTION}
and link from poline.ld
to ld.ldtext - my formula works and populates the po.line and the ld.text together - except that any po.line with no description will not show up. Like its not there.
Not sure what to do?
here is my current sql statement with the longdescription field in the select statement
here is the error statement i am getting:
Failed to retrieve data from the database:
Details:42000[intersolv][odb sql base driver][sql base] 00906 itn invalid table name[database vendor code:906]
sql statement:
SELECT "PO"."PONUM", "PO"."STATUS", "PO"."VENDOR",
"COMPANIES"."NAME", "COMPANIES"."ADDRESS1",
"COMPANIES"."ADDRESS2", "COMPANIES"."ADDRESS3",
"COMPANIES"."ADDRESS4", "COMPANIES"."PHONE",
"COMPANIES"."FAX", "COMPANIES_1"."NAME",
"COMPANIES_1"."ADDRESS1", "COMPANIES_1"."ADDRESS2",
"COMPANIES_1"."ADDRESS3", "COMPANIES_1"."ADDRESS4",
"COMPANIES_1"."CONTACT", "COMPANIES_1"."PHONE",
"COMPANIES_1"."FAX", "PO"."PURCHASEAGENT",
"PO"."ORDERDATE",
"PO"."REQUIREDDATE", "PO"."PAYMENTTERMS",
"PO"."SHIPVIA", "PO"."FREIGHTTERMS", "PO"."FOB",
"POLINE"."DESCRIPTION", "POLINE"."ITEMNUM",
"POLINE"."ORDERQTY", "POLINE"."UNITCOST",
"POLINE"."LOADEDCOST", "POLINE"."POLINENUM",
"PO"."SHIPTOATTN", "LONGDESCRIPTION"."LDTEXT"
FROM ("MAXIMO"."PO" "PO" LEFT OUTER JOIN
"MAXIMO"."LONGDESCRIPTION" "LONGDESCRIPTION" ON "PO"."LDKEY"="LONGDESCRIPTION"."LDKEY"),
"MAXIMO"."POLINE" "POLINE",
"MAXIMO"."COMPANIES" "COMPANIES_1",
"MAXIMO"."COMPANIES" "COMPANIES"
WHERE ("PO"."PONUM"="POLINE"."PONUM") AND ("PO"."VENDOR"="COMPANIES_1"."COMPANY") AND ("PO"."SHIPTO"="COMPANIES"."COMPANY") AND "PO"."PONUM"='3386-053'

If you took the time to read this thanks.... turns out... and I just want to pull my hair out over this. My connection had a old odbc driver so somehow it would not allow a left outer join....go figure - weeks of agony over that..... thanks ....have to say love this forum.

How to Mark join as left outer join in Info set

Hi Folks,
I have 2 info cubes in Info set, I need to mark the join as Left outer join.
I have read some blogs where is says that it cant be joined, but one of my colleagues has made left outer join using two cubes.
I want to replicate the same thing into my design.
If i normally connect one IO to another cubes same IO- its a normal join- its not written as left outer join. I want to see left outer join written on my link.
I tried global setting but no use.
Am I missing some setting,

Hi Vivek,
Please have a look at SAP Note 577953 - @0S@ InfoSets (BW): Left outer joins.
The answer on question "3. How do I define a left outer join in InfoSet maintenance?" describes how you should proceed.
Best regards,
Sander

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for eg.
Car c1;
Car c2 = null;after the 2 lines , 2 Car obj-referance have been created, but no Car obj.
1.so c2 is not refering to any object, so where do we put the null?in the heap?
2.as no c2 is not refering to any object, what's the difference between c2 and c1?
3.and where we store the difference-information?in the heap?

For local variables you can't have "Car c1;" the compiler will complain.That's not true. It will only complain if you try to use it without initializing it.
You can have (never used, so compiler doesn't care):
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   Car c1;
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       c1 = new Car("Kia");
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What is the difference between merge down, merge visible, and flatten image?

Hello, what is the difference between merge down, merge visible, and flatten image?

Hi there,
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Difference between MERGE and Update/Insert

Can anybody pls tell me what is the difference between MERGE and Update/Insert statements.

hi vivek,
merge is totally different than normal update and insert.Merge is a combination of update+inserrt.
Merge statment first checks the data in your table, if data is already exists then it will try to update the data otherwise it will go for insertion.In case of normal update/insert it will not check the data directly it does the specified operation.
So based on your requirement you have to select the best option.
Thanks.

Performance difference between left outer join / inner join

Hi,
I've got a complex query which among other things accesses quite a large table. If I use inner join to join this table, the response is quite fast and execution plan shows it uses nested loops to gather the data.
If I change inner join to left outer join, I get a big performance drop. Cost of query goes from 1441 to 28544.
I don't uderstand why there's such a difference. For inner join, database has to remove all the rows that don't have match in inner-joined table. For left join it can keep all records and just return NULL values for records that don't have a match. In my mind left join should be faster, as it seems simpler. And the access plan could be the same, couldn't it?
Execution plan for inner join:
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 288 | 1441 (1)| 00:00:18 |
| 1 | HASH GROUP BY | | 1 | 288 | 1441 (1)| 00:00:18 |
| 2 | NESTED LOOPS OUTER | | 1 | 288 | 1440 (1)| 00:00:18 |
| 3 | NESTED LOOPS | | 1 | 261 | 1438 (1)| 00:00:18 |
| 4 | NESTED LOOPS | | 318 | 74412 | 508 (1)| 00:00:07 |
| 5 | NESTED LOOPS | | 318 | 51834 | 189 (0)| 00:00:03 |
| 6 | TABLE ACCESS BY INDEX ROWID| RESURCE | 1 | 106 | 1 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | RESURCE_PRINCIPAL_NAME_INDEX | 1 | | 0 (0)| 00:00:01 |
| 8 | TABLE ACCESS BY INDEX ROWID| TASK_USES_RESURCE | 318 | 18126 | 188 (0)| 00:00:03 |
|* 9 | INDEX RANGE SCAN | TASK_USES_RESUR_IDX$$_0CDC0002 | 318 | | 3 (0)| 00:00:01 |
| 10 | TABLE ACCESS BY INDEX ROWID | TASK | 1 | 71 | 1 (0)| 00:00:01 |
|* 11 | INDEX UNIQUE SCAN | TASK_PK | 1 | | 0 (0)| 00:00:01 |
| 12 | TABLE ACCESS BY INDEX ROWID | TASK_WORK_HISTORY | 1 | 27 | 3 (0)| 00:00:01 |
|* 13 | INDEX RANGE SCAN | TASK_WORK_HISTORY_INDEX1 | 1 | | 2 (0)| 00:00:01 |
| 14 | TABLE ACCESS BY INDEX ROWID | TASK_USES_RESURCE | 1 | 27 | 2 (0)| 00:00:01 |
|* 15 | INDEX UNIQUE SCAN | TASK_USES_RESURCE_UK1 | 1 | | 1 (0)| 00:00:01 |
For left outer join:
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 318 | 1596K| | 28544 (2)| 00:05:43 |
|* 1 | HASH JOIN OUTER | | 318 | 1596K| 1584K| 28544 (2)| 00:05:43 |
| 2 | VIEW | | 318 | 1580K| | 508 (1)| 00:00:07 |
| 3 | NESTED LOOPS | | 318 | 74412 | | 508 (1)| 00:00:07 |
| 4 | NESTED LOOPS | | 318 | 51834 | | 189 (0)| 00:00:03 |
| 5 | TABLE ACCESS BY INDEX ROWID| RESURCE | 1 | 106 | | 1 (0)| 00:00:01 |
|* 6 | INDEX UNIQUE SCAN | RESURCE_PRINCIPAL_NAME_INDEX | 1 | | | 0 (0)| 00:00:01 |
| 7 | TABLE ACCESS BY INDEX ROWID| TASK_USES_RESURCE | 318 | 18126 | | 188 (0)| 00:00:03 |
|* 8 | INDEX RANGE SCAN | TASK_USES_RESUR_IDX$$_0CDC0002 | 318 | | | 3 (0)| 00:00:01 |
| 9 | TABLE ACCESS BY INDEX ROWID | TASK | 1 | 71 | | 1 (0)| 00:00:01 |
|* 10 | INDEX UNIQUE SCAN | TASK_PK | 1 | | | 0 (0)| 00:00:01 |
| 11 | VIEW | | 1480K| 73M| | 23431 (2)| 00:04:42 |
|* 12 | HASH JOIN RIGHT OUTER | | 1480K| 76M| 38M| 23431 (2)| 00:04:42 |
| 13 | TABLE ACCESS FULL | TASK_USES_RESURCE | 1486K| 21M| | 2938 (2)| 00:00:36 |
| 14 | VIEW | | 1445K| 53M| | 15031 (2)| 00:03:01 |
| 15 | HASH GROUP BY | | 1445K| 37M| 110M| 15031 (2)| 00:03:01 |
| 16 | TABLE ACCESS FULL | TASK_WORK_HISTORY | 1445K| 37M| | 3897 (2)| 00:00:47 |
--------------------------------------------------------------------------------------------------------------------------

...continued
Complete execution plan for left join:
| Id | Operation                       | Name                           | Rows | Bytes |TempSpc| Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT                |                                |   318 | 1594K|       | 28544   (2)| 00:05:43 |
|* 1 | HASH JOIN OUTER                |                                |   318 | 1594K| 1584K| 28544   (2)| 00:05:43 |
|   2 |   VIEW                          |                                |   318 | 1578K|       |   508   (1)| 00:00:07 |
|   3 |    NESTED LOOPS                 |                                |   318 | 74412 |       |   508   (1)| 00:00:07 |
|   4 |     NESTED LOOPS                |                                |   318 | 51834 |       |   189   (0)| 00:00:03 |
|   5 |      TABLE ACCESS BY INDEX ROWID| RESURCE                        |     1 |   106 |       |     1   (0)| 00:00:01 |
|* 6 |       INDEX UNIQUE SCAN         | RESURCE_PRINCIPAL_NAME_INDEX   |     1 |       |       |     0   (0)| 00:00:01 |
|   7 |      TABLE ACCESS BY INDEX ROWID| TASK_USES_RESURCE              |   318 | 18126 |       |   188   (0)| 00:00:03 |
|* 8 |       INDEX RANGE SCAN          | TASK_USES_RESUR_IDX$$_0CDC0002 |   318 |       |       |     3   (0)| 00:00:01 |
|   9 |     TABLE ACCESS BY INDEX ROWID | TASK                           |     1 |    71 |       |     1   (0)| 00:00:01 |
|* 10 |      INDEX UNIQUE SCAN          | TASK_PK                        |     1 |       |       |     0   (0)| 00:00:01 |
| 11 |   VIEW                          |                                | 1480K|    73M|       | 23431   (2)| 00:04:42 |
|* 12 |    HASH JOIN RIGHT OUTER        |                                | 1480K|    76M|    38M| 23431   (2)| 00:04:42 |
| 13 |     TABLE ACCESS FULL           | TASK_USES_RESURCE              | 1486K|    21M|       | 2938   (2)| 00:00:36 |
| 14 |     VIEW                        |                                | 1445K|    53M|       | 15031   (2)| 00:03:01 |
| 15 |      HASH GROUP BY              |                                | 1445K|    37M|   110M| 15031   (2)| 00:03:01 |
| 16 |       TABLE ACCESS FULL         | TASK_WORK_HISTORY              | 1445K|    37M|       | 3897   (2)| 00:00:47 |
Query Block Name / Object Alias (identified by operation id):
   1 - SEL$1AFB0324
   2 - SEL$58A6D7F6 / from$_subquery$_005@SEL$8
   3 - SEL$58A6D7F6
   5 - SEL$58A6D7F6 / RESURCEWORKER@SEL$2
   6 - SEL$58A6D7F6 / RESURCEWORKER@SEL$2
   7 - SEL$58A6D7F6 / TASKUSESRESURCE@SEL$1
   8 - SEL$58A6D7F6 / TASKUSESRESURCE@SEL$1
   9 - SEL$58A6D7F6 / TASK@SEL$1
10 - SEL$58A6D7F6 / TASK@SEL$1
11 - SEL$7EBCC247 / TRW@SEL$3
12 - SEL$7EBCC247
13 - SEL$7EBCC247 / TUR@SEL$4
14 - SEL$6        / TRW_IN@SEL$5
15 - SEL$6
16 - SEL$6        / TWH@SEL$6
Predicate Information (identified by operation id):
   1 - access("TRW"."RESURCE_ID"(+)="TASKUSESRESURCE"."RESURCE_ID" AND "TRW"."TASK_ID"(+)="TASK"."ID")
   6 - access("RESURCEWORKER"."USER_PRINCIPAL_NAME"=U'jernej')
   8 - access("TASKUSESRESURCE"."RESURCE_ID"="RESURCEWORKER"."ID")
10 - access("TASKUSESRESURCE"."TASK_ID"="TASK"."ID")
12 - access("TUR"."RESURCE_ID"(+)="TRW_IN"."RESURCE_ID" AND "TUR"."TASK_ID"(+)="TRW_IN"."TASK_ID")                                                                                                                                                                                                         Jonathan, I've been to one of your workshops in Ljubljana. I'm still trying to understand everything you explained and use it, but there's much I have to learn and understand.
The way I see this query it should fist join and filter the first three tables and only then join the trw subquery. The problem with this subqrey is task_work_history table, which is accessed in very different ways in different places, so there will always be many reads to gather required data. For now, however, I'd be hapy to just bring the performance of inner join to left join...

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Hi,
Check these
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A happy medium between techno-babble and the most basic of explanations would be ideal for me, and I'd imagine for others as well.
Here is a summarized history of my relationship with Wine:
Diablo II - I downloaded this awesome thing which ended up being... uh... I guess Diablo II in a Wineskin "wrapper". I'm not sure, all I know is that it's a D2 icon, and if I go to 'show package contents', it's got C drive, Program Files, et cetera inside of it. I double click it, it launches D2, and it works like a dream. <3
'Vanilla Install' - That's what I heard someone call it. It was the command/terminal style install using xquartz and xcode found at http://www.davidbaumgold.com/tutorials/wine-mac/. I followed every instruction to the letter, and got all the way to '$ sudo port install wine', at which point it started going smoothly, free from the possible error he described regarding the installation of xcode, and then just failed after I left the room to use the restroom and came back. Please don't ask me to repeat what the error was, because honestly, after reading more things on the interwebs, I'm confused as to why it's even necessary to go through all of that, so I'd rather not try that route again anyways, rendering the error message quite possibly irrelevant.
Wine + Wine Bottler - So I decided to try to seek out an easier method, as I know that one must exist that doesn't involve command lines. I found a video tutorial at http://www.youtube.com/watch?v=m0BBkISOcEA, and oh man would it be great if that method had actually worked. Again, I followed all instructions provided to procure my free fish, and at the point in the video where he declares that "xquarts or x11 will open" - it doesn't open. Nothing opens. I was trying to install Star Sonata, btw.
So here I am, thoroughly worn out, frustrated at all the random places Wine is installed on my mac now, and just want someone to explain it all, from top down, without getting toooooooo technical on me. I know that might be asking a lot...

## I know that the poster has already found a solution, but the following is a possible answer for others that have similar issues.
For Winebottler, just go to their website and download it. Run the program. Choose .wine as your prefix (best choice) or whatever suits you best. You'll need a functional X11. If you can't use the one that comes with your mac, download the latest one from the website.
If your issue is one with Winebottler's Wine not running correctly due to X11, then you have a pretty ugly problem, although a simple upgrade is the best solution (Upgrade XQuartz.app).
http://www.davidbaumgold.com/tutorials/wine-mac/#part-1
The above website is the easiest way to get REAL wine on your computer. First of all, Wineskin WInery, etc. are NOT WINE. They are 3rd party apps that may use Wine or may have originally part of Wine, but they are no longer up to date with Wine. WineBottler is currently up to date with the stable releases of Wine (but not the maintenence releases).
For the website tutorial and to run Wine on your mac without using a thrid party app, you will need to know a few things.
First, you will need to know basic control of the command line. That means, sudo (you must know the administrator password to your computer), and the forms of cd (change directory).
Second, you will need Xcode. Download 4.2 (stable) or whatever other versions you want, but beware: It is over 1 GB, and you will need time for it to work.
Third, you will need to get MacPorts and configure it. The tutorial should have this data.
When you download wine (use sudo port install wine-devel for the latest development release of wine), it will first download a lot of dependencies. This will take a while. After that, it will download wine itself.
After obtaining wine, to run a program, open the terminal.app window.
cd desktop/XYZ/ZYZ\ WRQ
The above will first enter the desktop, then folder XYZ, then folder ZYZ WRQ. From here,
wine th11e.exe
Or whatever executable you are trying to open. (Using Subterranean Animism as my example).
It should, in theory, run the program. Watch the terminal for errors. If there is an X11 problem, then it's not wine acting up. If the app crashes or has other issues, check the Wine Application Database to see if your app is compatible with wine.
If you have any further questions or other things, feel free to reply; I may or may not get back to you, but there's a good chance that someone will come in eventually. Otherwise, the Wine Wiki should have some information.

Not using Index when SDO_RELATE in Spatial Query is used in LEFT OUTER JOIN

I want to know for every City (Point geometry) in which Municipality (Polygon geometry) it is.
Some cities will not be covered by any municipality (as there is no data for it), so its municipality name should be blank in the result
We have 4942 cities (point geometries)
and 500 municipalities (polygon geometry)
SELECT T1.NAME as City, T2.NAME as Municipality
FROM CITY T1
LEFT OUTER JOIN MUNICIPALITY T2 ON SDO_RELATE(T1.GEOM, T2.GEOM, 'MASK=ANYINTERACT') = 'TRUE'The explain plan for this query is:
SELECT STATEMENT
FILTER
    Filter Predicates
      MDSYS.SDO_RTREE_RELATE(T1.GEOM, T2.GEOM, 'mask=ANYINTERACT querytype=window ') = 'TRUE'
    MERGE JOIN
      TABLE ACCESS              CITY               FULL                            11
      BUFFER                                       SORT                        100605
          TABLE ACCESS          MUNICIPALITY       FULL                            20So the cost is in the BUFFER (whatever that is), it takes +2000 seconds to run this, it is not using the spatial index.
And we are not getting all rows, but only the ones interacting with a municipality, e.g. 2436 rows.
But I want all rows, including the ones not interacting with any Municipality.
When we want only those cities that actually are in a municipality, I use a different query and it will use the index.
SELECT T1.NAME as City, T2.NAME as Municipality
FROM CITY T1, MUNICIPALITY T2
WHERE SDO_RELATE(T1.GEOM, T2.GEOM, 'MASK=ANYINTERACT') = 'TRUE'I get (only) 2436 rows (as expected) in 5 seconds (it is fast) and the explain plan shows it is using the spatial index.
But in this case, I am not getting any cities not inside any municipality (of course)
SELECT STATEMENT
   NESTED LOOPS
      TABLE ACCESS                   MUNICIPALITY       FULL                22
      TABLE ACCESS                   CITY               BY INDEX ROWID      22
         DOMAIN INDEX                CITY_SDX                                0
            Access Predicates
               MDSYS.SDO_RTREE_RELATE(T1.GEOM, T2.GEOM, 'mask=ANYINTERACT querytype=window ') = 'TRUE'I always thought a LEFT OUTER JOIN would return all rows from the Table, whatever happens in the next,
but it seems the query has been rewritten so that it is now using a Filter Predicate in the end, which filters those geometries having no interaction.
As an example I also do thing alphanumerically, I do get 4942 rows, including the ones which have no Municipality name.
In this case the names must match, so its only for testing if the LEFT OUTER JOIN returns stuff correctly, which it does in this case.
SELECT T1.NAME as City, T2.NAME as Municipality
FROM CITY T1
LEFT OUTER JOIN MUNICIPALITY T2 ON T1.NAME = T2.NAMEIs this an Oracle Spatial bug, e.g. not return 4942 rows, but only 2436 rows on the first query?
Note all tests performed on Oracle 11g R2 (11.2.0.1.0)

Patrick,
Even so, your geoms in the relate were the wrong way around.
Also, I don't recall you saying (or showing) that you wanted the municipality geometry returned. Still,
no matter, easy to do.
Here are some additional suggestions. I don't have your data so I have had to use some of my own.
set serveroutput on timing on autotrace on
SELECT T1.SPECIES as City,
       (SELECT T2.ADMIN_NAME FROM AUSTRALIAN_STATES T2 WHERE SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE') as Municipality,
       (SELECT T2.GEOM       FROM AUSTRALIAN_STATES T2 WHERE SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE') as geom
FROM GUTDATA T1;
762 rows selected
Elapsed: 00:00:21.656
Plan hash value: 2160035213
| Id | Operation                   | Name                       | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                            |   762 | 49530 |     5   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| AUSTRALIAN_STATES          |     1 |   115 |     0   (0)| 00:00:01 |
|* 2 |   DOMAIN INDEX              | AUSTRALIAN_STATES_GEOM_SPX |       |       |     0   (0)| 00:00:01 |
|   3 | TABLE ACCESS BY INDEX ROWID| AUSTRALIAN_STATES          |     1 |   115 |     0   (0)| 00:00:01 |
|* 4 |   DOMAIN INDEX              | AUSTRALIAN_STATES_GEOM_SPX |       |       |     0   (0)| 00:00:01 |
|   5 | TABLE ACCESS FULL          | GUTDATA                    |   762 | 49530 |     5   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE')
   4 - access("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE')
   Statistics
               7 user calls
           24576 physical read total bytes
               0 physical write total bytes
               0 spare statistic 3
               0 commit cleanout failures: cannot pin
               0 TBS Extension: bytes extended
               0 total number of times SMON posted
               0 SMON posted for undo segment recovery
               0 SMON posted for dropping temp segment
               0 segment prealloc tasksThe above can look messy as you add more (SELECT ...) attributes, but is is fast (though can't use in Materialized Views).
/* The set of all cities not in municipalities */
SELECT T1.SPECIES                 as City,
       cast(null as varchar2(42)) as municipality,
       cast(null as sdo_geometry) as geom
FROM GUTDATA T1
WHERE NOT EXISTS (SELECT 1
                     FROM AUSTRALIAN_STATES T2
                    WHERE SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE')
UNION ALL
/* The set of all cities in municipalities */
SELECT T1.SPECIES    as City,
       T2.ADMIN_NAME as Municipality,
       T2.GEOM       as geom
FROM GUTDATA T1
       INNER JOIN
       AUSTRALIAN_STATES T2 ON (SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE');
762 rows selected
Elapsed: 00:00:59.953
Plan hash value: 2854682795
| Id | Operation           | Name                       | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT    |                            |    99 | 13450 |    38 (87)| 00:00:01 |
|   1 | UNION-ALL          |                            |       |       |            |          |
|* 2 |   FILTER            |                            |       |       |            |          |
|   3 |    TABLE ACCESS FULL| GUTDATA                    |   762 | 49530 |     5   (0)| 00:00:01 |
|* 4 |    DOMAIN INDEX     | AUSTRALIAN_STATES_GEOM_SPX |       |       |     0   (0)| 00:00:01 |
|   5 |   NESTED LOOPS      |                            |    61 | 10980 |    33   (0)| 00:00:01 |
|   6 |    TABLE ACCESS FULL| AUSTRALIAN_STATES          |     8 |   920 |     3   (0)| 00:00:01 |
|* 7 |    TABLE ACCESS FULL| GUTDATA                    |     8 |   520 |     4   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - filter( NOT EXISTS (SELECT 0 FROM "AUSTRALIAN_STATES" "T2" WHERE "MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE'))
   4 - access("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE')
   7 - filter("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"("T1"."GEOM",10000,0.5,'UNIT=M'))='TRUE')
   Statistics
               7 user calls
          131072 physical read total bytes
               0 physical write total bytes
               0 spare statistic 3
               0 commit cleanout failures: cannot pin
               0 TBS Extension: bytes extended
               0 total number of times SMON posted
               0 SMON posted for undo segment recovery
               0 SMON posted for dropping temp segment
               0 segment prealloc tasksMuch slower but Materialized View friendly.
This one is a bit more "natural" but still slower than the first.
set serveroutput on timing on autotrace on
/* The set of all cities in municipalities */
WITH municipal_cities As (
SELECT T1.ID         as City,
         T2.ADMIN_NAME as Municipality,
         T2.GEOM       as geom
    FROM GUTDATA T1
         INNER JOIN
         AUSTRALIAN_STATES T2 ON (SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE')
SELECT T1.ID           as City,
       T2.Municipality as Municipality,
       T2.GEOM         as geom
FROM GUTDATA          T1
       LEFT OUTER JOIN
       municipal_cities T2
       ON (T2.CITY = T1.ID);
762 rows selected
Elapsed: 00:00:50.228
Plan hash value: 745978991
| Id | Operation             | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT      |                   |   762 | 44196 |    36   (3)| 00:00:01 |
|* 1 | HASH JOIN RIGHT OUTER|                   |   762 | 44196 |    36   (3)| 00:00:01 |
|   2 |   VIEW                |                   |    61 | 3294 |    33   (0)| 00:00:01 |
|   3 |    NESTED LOOPS       |                   |    61 | 10980 |    33   (0)| 00:00:01 |
|   4 |     TABLE ACCESS FULL | AUSTRALIAN_STATES |     8 |   920 |     3   (0)| 00:00:01 |
|* 5 |     TABLE ACCESS FULL | GUTDATA           |     8 |   520 |     4   (0)| 00:00:01 |
|   6 |   INDEX FAST FULL SCAN| GUTDATA_ID_PK     |   762 | 3048 |     2   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - access("T2"."CITY"(+)="T1"."ID")
   5 - filter("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"("T1"."GEOM",10000,0.5,'UNIT=M'))='TRUE')
   Statistics
               7 user calls
           49152 physical read total bytes
               0 physical write total bytes
               0 spare statistic 3
               0 commit cleanout failures: cannot pin
               0 TBS Extension: bytes extended
               0 total number of times SMON posted
               0 SMON posted for undo segment recovery
               0 SMON posted for dropping temp segment
               0 segment prealloc tasksFinally, the Pièce de résistance: trick the LEFT OUTER JOIN operator...
set serveroutput on timing on autotrace on
SELECT T1.SPECIES    as City,
       T2.ADMIN_NAME as Municipality,
       T2.GEOM       as geom
FROM GUTDATA           T1
       LEFT OUTER JOIN
       AUSTRALIAN_STATES T2
       ON (t2.admin_name = to_char(t1.ID) OR
           SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE');
762 rows selected
Elapsed: 00:00:50.273
Plan hash value: 158854308
| Id | Operation           | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT    |                   |   762 | 92964 | 2294   (1)| 00:00:28 |
|   1 | NESTED LOOPS OUTER |                   |   762 | 92964 | 2294   (1)| 00:00:28 |
|   2 |   TABLE ACCESS FULL | GUTDATA           |   762 | 49530 |     5   (0)| 00:00:01 |
|   3 |   VIEW              |                   |     1 |    57 |     3   (0)| 00:00:01 |
|* 4 |    TABLE ACCESS FULL| AUSTRALIAN_STATES |     1 |   115 |     3   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   4 - filter("T2"."ADMIN_NAME"=TO_CHAR("T1"."ID") OR
              "MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"("T1"."GEOM",10000,0.5,'UNIT=M'))='TRUE')
   Statistics
               7 user calls
               0 physical read total bytes
               0 physical write total bytes
               0 spare statistic 3
               0 commit cleanout failures: cannot pin
               0 TBS Extension: bytes extended
               0 total number of times SMON posted
               0 SMON posted for undo segment recovery
               0 SMON posted for dropping temp segment
               0 segment prealloc tasksTry these combinations to see what works for you.
Interestingly, for me, the following returns absolutely nothing.
SELECT T1.SPECIES    as City,
       T2.ADMIN_NAME as Municipality
FROM GUTDATA           T1
       LEFT OUTER JOIN
       AUSTRALIAN_STATES T2
       ON (SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE')
MINUS
SELECT T1.SPECIES    as City,
       T2.ADMIN_NAME as Municipality
FROM GUTDATA           T1
       LEFT OUTER JOIN
       AUSTRALIAN_STATES T2
       ON (t2.admin_name = to_char(t1.ID) OR
           SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE');(I leave it to you to see if you can see why as the LEFT OUTER JOIN seems to be working correctly for me but I am not going to dedicate time to detailed checking of results.)
Note all tests performed on Oracle 11g R2 (11.2.0.1.0)
If you get the answer you want: mark the post as answered to assign points.
regards
Simon

Difference between merge-Not matched and left outer join

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