Datapump skipping partitioned tables in the database

I have run expdp on Oracle 10.2.0.4.0 on AIX 5.6 Platform, the export runs well exporting rows in the database but when it comes to partitioned tables in the database it export no rows for all the partitioned tables. When I run a normal exp/imp the partitioned tables are exported with all their rows.
I used the following commands:
expdp system/****** dumpfile=export_data.dmp directory=DATA_PUMP_DIR full=y logfile=export_dump.log
Output for expdp on partitioned table:
. . exported "SCOTT"."DEPT":"DEPT_2003_P1" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P10" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P11" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P12" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P2" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P3" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P4" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P5" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P6" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P7" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P8" 0 KB 0 rows
. . exported "SCOTT"."DEPT":"DEPT_2003_P9" 0 KB 0 rows
And for exp:
exp system/****** file=export_dump.dmp full=y log=export_log1.log
Result from the export log for partitioned tables:
. . exporting partition DEPT_2005_P1 881080 rows exported
. . exporting partition DEPT_2005_P2 1347780 rows exported
. . exporting partition DEPT_2005_P3 2002962 rows exported
. . exporting partition DEPT_2005_P4 2318227 rows exported
. . exporting partition DEPT_2005_P5 3122371 rows exported
. . exporting partition DEPT_2005_P6 3916020 rows exported
. . exporting partition DEPT_2005_P7 4217100 rows exported
. . exporting partition DEPT_2005_P8 4125915 rows exported
. . exporting partition DEPT_2005_P9 1913970 rows exported
. . exporting partition DEPT_2005_P10 1100156 rows exported
. . exporting partition DEPT_2005_P11 786516 rows exported
. . exporting partition DEPT_2005_P12 822976 rows exported
I am not sure about this behavour from datapump, my database is more than 800GB and we want to migrate the database from AIX to LINUX.
Thanks

Sorry I just copied and pasted some extracts from my exp and expdp logs:
For testing purposes I tried to run a datapump export of only 1 partitioned table in the database and its going through, but when I do the same on a full datapump export these partitioned tables are being exported with no rows.
Export: Release 10.2.0.4.0 - 64bit Production on Tuesday, 02 August, 2011 12:18:47
Copyright (c) 2003, 2007, Oracle. All rights reserved.
Connected to: Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
Starting "SYSTEM"."SYS_EXPORT_TABLE_01": system/******** dumpfile=DEPT.dmp tables=scott.dept logfile=dept1.log
Estimate in progress using BLOCKS method...
Processing object type TABLE_EXPORT/TABLE/TABLE_DATA
Total estimation using BLOCKS method: 48.50 GB
Processing object type TABLE_EXPORT/TABLE/TABLE
Processing object type TABLE_EXPORT/TABLE/GRANT/OWNER_GRANT/OBJECT_GRANT
Processing object type TABLE_EXPORT/TABLE/INDEX/INDEX
Processing object type TABLE_EXPORT/TABLE/CONSTRAINT/CONSTRAINT
Processing object type TABLE_EXPORT/TABLE/INDEX/STATISTICS/INDEX_STATISTICS
Processing object type TABLE_EXPORT/TABLE/COMMENT
Processing object type TABLE_EXPORT/TABLE/RLS_POLICY
Processing object type TABLE_EXPORT/TABLE/CONSTRAINT/REF_CONSTRAINT
Processing object type TABLE_EXPORT/TABLE/TRIGGER
Processing object type TABLE_EXPORT/TABLE/INDEX/FUNCTIONAL_AND_BITMAP/INDEX
Processing object type TABLE_EXPORT/TABLE/INDEX/STATISTICS/FUNCTIONAL_AND_BITMAP/INDEX_STATISTICS
Processing object type TABLE_EXPORT/TABLE/STATISTICS/TABLE_STATISTICS
. . exported "SCOTT"."DEPT":"DEPT_2009_P6" 1.452 GB 7377736 rows
. . exported "SCOTT"."DEPT":"DEPT_2009_P7" 1.363 GB 6935687 rows
. . exported "SCOTT"."DEPT":"DEPT_2008_P6" 1.304 GB 6656096 rows
. . exported "SCOTT"."DEPT":"DEPT_2010_P7" 1.410 GB 7300618 rows
. . exported "SCOTT"."DEPT":"DEPT_2008_P7" 1.296 GB 6641073 rows
. . exported "SCOTT"."DEPT":"DEPT_2010_P6" 1.328 GB 6863885 rows
. . exported "SCOTT"."DEPT":"DEPT_2007_P6" 1.158 GB 6568075 rows
. . exported "SCOTT"."DEPT":"DEPT_2009_P5" 1.141 GB 5801822 rows
. . exported "SCOTT"."DEPT":"DEPT_2011_P5" 1.162 GB 6027466 rows
. . exported "SCOTT"."DEPT":"DEPT_2007_P7" 1.100 GB 6214680 rows
. . exported "SCOTT"."DEPT":"DEPT_2011_P6" 1.106 GB 5762303 rows
. . exported "SCOTT"."DEPT":"DEPT_2010_P5" 1.133 GB 5859492 rows
. . exported "SCOTT"."DEPT":"DEPT_2007_P5" 1.001 GB 5664315 rows
. . exported "SCOTT"."DEPT":"DEPT_2008_P5" 1.023 GB 5229356 rows
. . exported "SCOTT"."DEPT":"DEPT_2010_P8" 1.078 GB 5549666 rows
. . exported "SCOTT"."DEPT":"DEPT_2007_P8" 940.3 MB 5171379 rows
. . exported "SCOTT"."DEPT":"DEPT_2008_P8" 989.0 MB 4920276 rows
. . exported "SCOTT"."DEPT":"DEPT_2009_P8" 918.6 MB 4553523 rows
. . exported "SCOTT"."DEPT":"DEPT_2006_P6" 821.0 MB 5220879 rows
. . exported "SCOTT"."DEPT":"DEPT_2008_P4" 766.6 MB 3832262 rows
. . exported "SCOTT"."DEPT":"DEPT_2006_P8" 747.9 MB 4753538 rows
. . exported "SCOTT"."DEPT":"DEPT_2006_P7" 741.8 MB 4708242 rows
. . exported "SCOTT"."DEPT":"DEPT_2010_P4" 734.2 MB 3713567 rows
. . exported "SCOTT"."DEPT":"DEPT_2005_P7" 661.4 MB 4217100 rows
. . exported "SCOTT"."DEPT":"DEPT_2005_P8" 647.1 MB 4125915 rows
. . exported "SCOTT"."DEPT":"DEPT_2011_P4" 677.8 MB 3428887 rows
I also tried to run a normal schema by schema export with the normal exp system/password command the and got my dump file which is about 300GB, when I run the imp system/password command and specify fromuser=<system > and touser=<schemas_in_the_dumpfile> seperated by commas, it just comes up with this message:
Connected to: Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
Export file created by EXPORT:V10.02.01 via conventional path
import done in WE8ISO8859P9 character set and AL16UTF16 NCHAR character set
Import terminated successfully without warnings.
No tables are exported.
If I specify the parameter imp system/password file=dept_export.dmp full=y log=dept_imp.log with the same dumpfile and it imports data from the dumpfile into my database.
I am not sure what could be wrong with my dumpfile or my imp command and its parameters.

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Hello everybody,
i have more than 600 tables in the database i need to find the biggest table in the database and want to order it in descending pattern..
Is there any query for this task...
Rgds
Harsh.

What version of Oracle? Do you use the CBO or the RBO? If you use the CBO, are your statistics accurate? Can you tolerate having approximate rowcounts?
SELECT table_name, num_rows
FROM user_tables
ORDER BY num_rowsmay be what you're looking for, but
- num_rows is populated when you gather statistics, so it'll be empty if you're using the RBO
- num_rows may be an approximate number, depending on how you're gathering statistics
- num_rows only reflects the size at the instant you gathered statistics. It is not maintained in real time.
I'm guessing, though, that this is close enough for whatever you're doing.
Justin

Ability to send the results of a report query to a table in the database

Hi Guys
Is it possible to send the results of a report query to a table in the database ?
Thanks

Yes.
For this purpose, you can use :
* the delivers advanced option
http://gerardnico.com/wiki/dat/obiee/bi_scheduler/advanced_publication_delivers
* the SOA API
http://gerardnico.com/wiki/dat/obiee/obiee_soap_eclipse
This two solutions need some development skills.

Unable to wipe ZFS partition table from the disk

I used an SD card as part of a zfs zpool made of three SD cards, without partition table. ZFS was managing the entire devices, not just partitions.
I subsequently retired this zpool but did not run “zpool destroy”. This worked for two of the cards, but it seems as if one of the SD cards just can’t shake the zfs_member marker, no matter what I do.
So far I tried multiple times, on several different machines (including two without ZOL installed, so zfs cache file is not an issue here):
1. dd the entire device with zeros. Four times.
2. zpool labelclear -f /dev/sdc
3. create new msdos partition table in gparted and fdisk
4.
$ mkfs.btrfs -f /dev/sdc
$ mount /dev/sdc /mnt/usb
mount: unknown filesystem type 'zfs_member'
Unable to wipe ZFS partition table from the disk
5. Windows format and Partition Minitools windows equivalent of gparted.
As you can see, none of those methods wrote over the zfs data. It remains intact and invulnerable to anything I tried.
I am out of ideas. It looks like google is out of ideas, too.

Yeah, somehow while writing the first post I missed that wipefs also does absolutely nothing.
# wipefs /dev/sdc
offset type
0x23000 zfs_member [raid]
LABEL: SD
UUID: 9662645799256520897
# wipefs /dev/sdc -o 0x23000
/dev/sdc: 8 bytes were erased at offset 0x00023000 (zfs_member): 0c b1 ba 00 00 00 00 00
# wipefs /dev/sdc
offset type
0x23000 zfs_member [raid]
LABEL: SD
UUID: 9662645799256520897

Convert the table using the Database Utility SE14

Hi,
I have changed the structure of table
How can I convert the table using the Database Utility (SE14)??
Regards,
Vivek

give your table name and press edit. on the next screen select activate and adjust data. This will adjust your data in the table according to new structure

Accessing large partitioned tables over a database link - any gotchas?

Hi,
We are in the middle of a corporate acquisition and I have a question about using database links to efficiently access large tables. There are two geographically distinct database instances, both on Oracle 10.2.0.5 sitting on Linux boxes.
The primary instance (PSHR) contains a PeopleSoft HR and Payroll system and sits in our data centre.
The secondary instance (HGPAY) runs a home grown payroll application and sits in a different data centre to PSHR.
The requirement is to allow PeopleSoft (PSHR) to display targeted (one employee at a time) payroll data from the secondary instance.
For example in HGPAY
CREATE TABLE MY_PAY_DATA AS
SELECT TO_CHAR(A.RN, '00000000') "EMP" -- This is an 8 digit leading 0 unique identifier
, '20110' || to_char(B.RN) "PAY_PRD" -- This is a format of fiscal year plus fortnight in year (01-27)
, C.SOME_KEY -- This is the pay element being considered - effectively random
, 'XXXXXXXXXXXXXXXXX' "FILLER1"
, 'XXXXXXXXXXXXXXXXX' "FILLER2"
, 'XXXXXXXXXXXXXXXXX' "FILLER3"
FROM ( SELECT ROWNUM "RN" FROM DUAL CONNECT BY LEVEL <= 300) A
, (SELECT ROWNUM "RN" FROM DUAL CONNECT BY LEVEL <= 3) B
, (SELECT TRUNC(ABS(DBMS_RANDOM.RANDOM())) "SOME_KEY" FROM DUAL CONNECT BY LEVEL <= 300) C
ORDER BY PAY_PRD, EMP
HGPAY.MY_PAY_DATA is Range Partitioned on EMP (approx 300 employees per partition) and List Sub-Partitioned on PAY_PRD (3 pay periods per sub-partition). I have limited the create statement above to represent one sub-paritition of data.
On average each employee generates 300 rows in this table each pay period. The table has approx 180 million rows and growing every fortnight.
In PSHR
CREATE VIEW PS_HG_PAY_DATA (EMP, PAY_PRD, SOME_KEY, FILLER1, FILLER2, FILLER3)
AS SELECT EMP, PAY_PRD, SOME_KEY, FILLER1, FILLER2, FILLER3 FROM MY_PAY_DATA@HGPAY
PeopleSoft would then generate SQL along the lines of
SELECT * FROM PS_HG_PAY_DATA WHERE EMP = ‘00002561’ AND PAY_PRD = ‘201025’
The link between the data centres where PSHR and HGPAY sit is not the best in the world, but I am expecting tens of access requests per day rather than thousands, so I believe the link should have sufficient bandwidth to meet the requirements.
I have tried a quick test on two production sized test instances and it works in that it presents the data, when I look at the explain plan I can see that the remote database is only presenting the relevant sub-partition over to PSHR rather than the whole table. Before I pat myself on the back with a "job well done" - is there a gotcha that I am missing in using dblink to access partitioned big tables?

Yes, that's about right. A lot of this depends on exactly what happens in various "oops" scenarios-- are you, for example, just burning some extra CPU until someone comes to the DBA and says "my query is slow" or does saturating the network have some knock-on effect on critical apps or random long-running queries prevent some partition maintenance operations.
In my mind, the simplest possible solution (assuming you are using a fixed username in the database link) would be to create a profile on HGPAY for the user that is defined for the database link that set a LOGICAL_READS_PER_CALL value that was large enough to handle any "reasonable" request and low enough to quickly kill any session that tried to do something "stupid". Obviously, you'd need to define "stupid" in your environment particularly where the scope of a "simple reconciliation report" is undefined. If there are no political issues and you can adjust the profile values over time as you encounter new reports that slowly increase what is deemed "reasonable" this is likely the simplest approach. If you've got to put in a change request to change the setting that has to be reviewed by the change control board at its next quarterly meeting with the outsourced DBA vendor, on the other hand, you could turn a 30 minute report into 30 hours of work spread over 30 days. In the ideal world, though, that's where I'd start.
Getting more complex, you can use Resource Manager to kill queries that run too long on the wall clock. Since the network is almost certainly going to be the bottleneck, it's probably unlikely that the CPU throttling is going to do much good-- you can probably saturate the network with a very small amount of CPU. Network throttling in my mind is an extra step up in complexity again depending on the specifics of your particular situation and what you're competing with.
Justin

Datapump skipping partitioned tables in the database

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