Best Way To merge Customer Records
Hi community,
What is the best way to merge customer records for the same operson but may have used different email ids to correspond with BC Website
Not in BC no. You would need to export a custom report, sort that in excel and then form that into the customer import it back in or create some API that goes through and cleans that up.
Similar Messages
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Hi,
Please suggest me the best way to fetch the record from the table designed below. It is Oracle 10gR2 on Linux
Whenever a client visit the office a record will be created for him. The company policy is to maintain 10 years of data on the transaction table but the table holds record count of 3 Million records per year.
The table has the following key Columns for the Select (sample Table)
Client_Visit
ID Number(12,0) --sequence generated number
EFF_DTE DATE --effective date of the customer (sometimes the client becomes invalid and he will be valid again)
Create_TS Timestamp(6)
Client_ID Number(9,0)
Cascade Flg vahrchar2(1)
On most of the reports the records are fetched by Max(eff_dte) and Max(create_ts) and cascade flag ='Y'.
I have following queries but the both of them are not cost effective and takes 8 minutes to display the records.
Code 1:
SELECT au_subtyp1.au_id_k,
au_subtyp1.pgm_struct_id_k
FROM au_subtyp au_subtyp1
WHERE au_subtyp1.create_ts =
(SELECT MAX (au_subtyp2.create_ts)
FROM au_subtyp au_subtyp2
WHERE au_subtyp2.au_id_k =
au_subtyp1.au_id_k
AND au_subtyp2.create_ts <
TO_DATE ('2013-01-01',
'YYYY-MM-DD'
AND au_subtyp2.eff_dte =
(SELECT MAX
(au_subtyp3.eff_dte
FROM au_subtyp au_subtyp3
WHERE au_subtyp3.au_id_k =
au_subtyp2.au_id_k
AND au_subtyp3.create_ts <
TO_DATE
('2013-01-01',
'YYYY-MM-DD'
AND au_subtyp3.eff_dte < =
TO_DATE
('2012-12-31',
'YYYY-MM-DD'
AND au_subtyp1.exists_flg = 'Y'
Explain Plan
Plan hash value: 2534321861
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 91 | | 33265 (2)| 00:06:40 |
|* 1 | FILTER | | | | | | |
| 2 | HASH GROUP BY | | 1 | 91 | | 33265 (2)| 00:06:40 |
|* 3 | HASH JOIN | | 1404K| 121M| 19M| 33178 (1)| 00:06:39 |
|* 4 | HASH JOIN | | 307K| 16M| 8712K| 23708 (1)| 00:04:45 |
| 5 | VIEW | VW_SQ_1 | 307K| 5104K| | 13493 (1)| 00:02:42 |
| 6 | HASH GROUP BY | | 307K| 13M| 191M| 13493 (1)| 00:02:42 |
|* 7 | INDEX FULL SCAN | AUSU_PK | 2809K| 125M| | 13493 (1)| 00:02:42 |
|* 8 | INDEX FAST FULL SCAN| AUSU_PK | 2809K| 104M| | 2977 (2)| 00:00:36 |
|* 9 | TABLE ACCESS FULL | AU_SUBTYP | 1404K| 46M| | 5336 (2)| 00:01:05 |
Predicate Information (identified by operation id):
1 - filter("AU_SUBTYP1"."CREATE_TS"=MAX("AU_SUBTYP2"."CREATE_TS"))
3 - access("AU_SUBTYP2"."AU_ID_K"="AU_SUBTYP1"."AU_ID_K")
4 - access("AU_SUBTYP2"."EFF_DTE"="VW_COL_1" AND "AU_ID_K"="AU_SUBTYP2"."AU_ID_K")
7 - access("AU_SUBTYP3"."EFF_DTE"<=TO_DATE(' 2012-12-31 00:00:00', 'syyyy-mm-dd
hh24:mi:ss') AND "AU_SUBTYP3"."CREATE_TS"<TIMESTAMP' 2013-01-01 00:00:00')
filter("AU_SUBTYP3"."CREATE_TS"<TIMESTAMP' 2013-01-01 00:00:00' AND
"AU_SUBTYP3"."EFF_DTE"<=TO_DATE(' 2012-12-31 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
8 - filter("AU_SUBTYP2"."CREATE_TS"<TIMESTAMP' 2013-01-01 00:00:00')
9 - filter("AU_SUBTYP1"."EXISTS_FLG"='Y')Code 2:
I already raised a thread a week back and Dom suggested the following query, it is cost effective but the performance is same and used the same amount of Temp tablespace
select au_id_k,pgm_struct_id_k from (
SELECT au_id_k
, pgm_struct_id_k
, ROW_NUMBER() OVER (PARTITION BY au_id_k ORDER BY eff_dte DESC, create_ts DESC) rn,
create_ts, eff_dte,exists_flg
FROM au_subtyp
WHERE create_ts < TO_DATE('2013-01-01','YYYY-MM-DD')
AND eff_dte <= TO_DATE('2012-12-31','YYYY-MM-DD')
) d where rn =1 and exists_flg = 'Y'
--Explain Plan
Plan hash value: 4039566059
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 2809K| 168M| | 40034 (1)| 00:08:01 |
|* 1 | VIEW | | 2809K| 168M| | 40034 (1)| 00:08:01 |
|* 2 | WINDOW SORT PUSHED RANK| | 2809K| 133M| 365M| 40034 (1)| 00:08:01 |
|* 3 | TABLE ACCESS FULL | AU_SUBTYP | 2809K| 133M| | 5345 (2)| 00:01:05 |
Predicate Information (identified by operation id):
1 - filter("RN"=1 AND "EXISTS_FLG"='Y')
2 - filter(ROW_NUMBER() OVER ( PARTITION BY "AU_ID_K" ORDER BY
INTERNAL_FUNCTION("EFF_DTE") DESC ,INTERNAL_FUNCTION("CREATE_TS") DESC )<=1)
3 - filter("CREATE_TS"<TIMESTAMP' 2013-01-01 00:00:00' AND "EFF_DTE"<=TO_DATE('
2012-12-31 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))Thanks,
VijayHi Justin,
Thanks for your reply. I am running this on our Test environment as I don't want to run this on Production environment now. The test environment holds 2809605 records (2 Million).
The query output count is 281699 (2 Hundred Thousand) records and the selectivity is 0.099. The Distinct values of create_ts, eff_dte, and exists_flg is 2808905 records. I am sure the index scan is not going to help out much as you said.
The core problem is both queries are using lot of Temp tablespace. When we use this query to join the tables, the other table has the same design as below so the temp tablespace grows bigger.
Both the production and test environment are 3 Node RAC.
First Query...
CPU used by this session 4740
CPU used when call started 4740
Cached Commit SCN referenced 21393
DB time 4745
OS Involuntary context switches 467
OS Page reclaims 64253
OS System time used 26
OS User time used 4562
OS Voluntary context switches 16
SQL*Net roundtrips to/from client 9
bytes received via SQL*Net from client 2487
bytes sent via SQL*Net to client 15830
calls to get snapshot scn: kcmgss 37
consistent gets 52162
consistent gets - examination 2
consistent gets from cache 52162
enqueue releases 19
enqueue requests 19
enqueue waits 1
execute count 2
ges messages sent 1
global enqueue gets sync 19
global enqueue releases 19
index fast full scans (full) 1
index scans kdiixs1 1
no work - consistent read gets 52125
opened cursors cumulative 2
parse count (hard) 1
parse count (total) 2
parse time cpu 1
parse time elapsed 1
physical write IO requests 69
physical write bytes 17522688
physical write total IO requests 69
physical write total bytes 17522688
physical write total multi block requests 69
physical writes 2139
physical writes direct 2139
physical writes direct temporary tablespace 2139
physical writes non checkpoint 2139
recursive calls 19
recursive cpu usage 1
session cursor cache hits 1
session logical reads 52162
sorts (memory) 2
sorts (rows) 760
table scan blocks gotten 23856
table scan rows gotten 2809607
table scans (short tables) 1
user I/O wait time 1
user calls 11
workarea executions - onepass 1
workarea executions - optimal 9
Second Query
CPU used by this session 1197
CPU used when call started 1197
Cached Commit SCN referenced 21393
DB time 1201
OS Involuntary context switches 8684
OS Page reclaims 21769
OS System time used 14
OS User time used 1183
OS Voluntary context switches 50
SQL*Net roundtrips to/from client 9
bytes received via SQL*Net from client 767
bytes sent via SQL*Net to client 15745
calls to get snapshot scn: kcmgss 17
consistent gets 23871
consistent gets from cache 23871
db block gets 16
db block gets from cache 16
enqueue releases 25
enqueue requests 25
enqueue waits 1
execute count 2
free buffer requested 1
ges messages sent 1
global enqueue get time 1
global enqueue gets sync 25
global enqueue releases 25
no work - consistent read gets 23856
opened cursors cumulative 2
parse count (hard) 1
parse count (total) 2
parse time elapsed 1
physical read IO requests 27
physical read bytes 6635520
physical read total IO requests 27
physical read total bytes 6635520
physical read total multi block requests 27
physical reads 810
physical reads direct 810
physical reads direct temporary tablespace 810
physical write IO requests 117
physical write bytes 24584192
physical write total IO requests 117
physical write total bytes 24584192
physical write total multi block requests 117
physical writes 3001
physical writes direct 3001
physical writes direct temporary tablespace 3001
physical writes non checkpoint 3001
recursive calls 25
session cursor cache hits 1
session logical reads 23887
sorts (disk) 1
sorts (memory) 2
sorts (rows) 2810365
table scan blocks gotten 23856
table scan rows gotten 2809607
table scans (short tables) 1
user I/O wait time 2
user calls 11
workarea executions - onepass 1
workarea executions - optimal 5Thanks,
Vijay
Edited by: Vijayaraghavan Krishnan on Nov 28, 2012 11:17 AM
Edited by: Vijayaraghavan Krishnan on Nov 28, 2012 11:19 AM -
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In worst case, I will read the file line by line as string, then use
logger.info(lineString)to output to log file.
However, is there better way to do this?
The eventual log file will be something like:
log message 1
log message 2
content from file line 1
content from file line 2
content from file line 3
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Thank you and let me explain:
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I would like to see better performance. read line by line and log each line as string can be slow. Did you measure this and determine that it is actually a problem for your application? Or are you guessing?
Regardless of what you do you are still going to need to read the file.
>
2.The only better way I can think of is not having to do it, but I assume you have a very good reason to want to do this.
Yes, I have to do it beacuse the requirement is to have that file content be part of logging.
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First Line
Second Line XXX
Log 1
2009-03-27 DEBUG: Random preceding line
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First Line
Second Line XXX
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The first in a mult-threaded app can end up with intermittent log entries in between lines, so having log lines with thread ids becomes important.
The first can be created by reading one line at a time and posting one at a time.
The second can be created by reading the entire file as a single string and then posting using a single log statement. -
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Regards
TD -
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I have ended up with two versions of i photo on the same laptop - just stored in different places. One has 30K photos and the other has 80K photos. What is the best way to merge the two photo libraries as whenever I try to do it - it ends up crashing.
no sure how you are doing it - the only way is to use the merge capability of iPhoto Library Manager - http://www.fatcatsoftware.com/iplm/
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Iu2019m writing a report program and after pulling data from a custom table Iu2019m modifying certain fields within internal table and then eventually update custom table. The way Iu2019m updating custom table is working fine. However Iu2019m concern about performance issues because Iu2019m doing update on custom table within loop.
Here is my code for reference.
*& Form update_contracts
text
--> p1 text
<-- p2 text
FORM update_contracts .
Update record in an internal table first
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ENDFORM. " update_contracts
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Many thanks in advance.Hi,
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Have a look at the following link
[Overwriting Several Lines Using an Internal Table|http://help.sap.com/saphelp_bw33/helpdata/en/fc/eb3a94358411d1829f0000e829fbfe/content.htm]
[Inserting or Changing Lines|http://help.sap.com/saphelp_bw33/helpdata/en/fc/eb3ac8358411d1829f0000e829fbfe/content.htm]
You can also scan the forum for multiple links and references and sample examples.
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Regards,
Samantak. -
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a) merge all of these iPhoto libraries into just one, while simultaneously being able to delete all the duplicates? (or would you not recommend this?)
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The Library Manager app can be set avoid duplicates. -
Hey there, Apple Support Communities.
To start, I'm working on a MBP Retina 15" with a 2.3GHz i7 processor and 16 GB of RAM. 10GB free on a 256GB SS HD. Attached are two external HDs - one 1TB Western Digital portable drive from 2011, one 2TB Porsche LaCie non-portable drive from 2013; both connected via USB. All photo libraries in question are on the external drives.
I have Aperture 3.5.1 and iPhoto 9.5.1. I prefer to work in Aperture.
The Issue(s)
Over the years, I have accumulated a number of iPhoto libraries and Aperture libraries. At one point, I thought my WD drive was dying so I purchased the LaCie and copied all libraries over the the LaCie drive. (Turns out, there's probably an issue with my USB port reading drives, because I can once again see the WD drive and occasionally I can't see the LaCie drive.)
So now I have old version of some libraries on the WD drive, and new versions on the LaCie drive.
When I was moving things, I ran the software Gemini to de-dupe my iPhoto libraries. Not sure what effect that may have had on my issues.
In my main Aperture library and in some iPhoto libraries, I get the image-not-found badge or exclamation point. I've dug through the hidden Masters folders in various libraries to find the original image. In some cases, I have been able to find the original image, sometimes in a different version of the iPhoto library.
My Question(s)
1. For Aperture libraries that have missing originals, is there some magical way to find them, or have they just disappeared into the oblivion?
2. For iPhoto libraries that have missing originals and I have found the original in another iPhoto library, what is the best way to proceed?
3. Are there quirks to merging iPhoto and Aperture libraries (by using the Import->Library) feature that I should be aware of?
TL;DR: Too many iPhoto and Aperture libraries, and not all the original pictures can be found by the libraries anymore, though some originals still do exist in other libraries. Steps/process to fix?
Thank you! Let me know if you need add'l info to offer advice.
With appreciation,
ChristieThat will not be an easy task, Christie.
I am afraid, your cleaning session with Gemini may have actually removed originals. I have never used this duplicate finder tool, but other posters here reported problems. Gemini seems to replace duplicate original files in photo libraries by links, and this way, deleting images can cause the references for other images to break. And Aperture does not follow symbolic links - at least, I could never get it to find original files this way, when I experimented with this.
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That is probably due to Gemini's replacing duplicate originals by links, and your best cause of action is to fix this before merging the libraries. Reconnecting can be done for your iPhoto libraries in Aperture. -
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