A table "CMP3$111448" appears in DB replicating a big table and spending a lot of space in database

We have a web application which manages digital documents,
its main table is named "DOC_ADJUNTO", this table has a column "DOCUMENTO" of type BLOB and some other columns.
Also there is an Oracle Text Index for the BLOB column of the table "DOC_ADJUNTO"; its definition as follow:
    CREATE INDEX IDX_DOC_ADJUNTO_DOCUMENTO ON DOC_ADJUNTO (DOCUMENTO) INDEXTYPE IS CTXSYS.CONTEXT PARAMETERS('Sync (on commit)') NOPARALLEL;
Just a week ago, a new table "CMP3$111448" appeared in database.
The table "CMP3$111448" replicates the structure of table "DOC_ADJUNTO" and its Oracle Text Index, so it is spending a lot of space for the tablespace and backups for whole database.
One difference between the two tables is that "DOC_ADJUNTO" table has 136.782 rows, and "CMP3$111448" only has 107.380 rows.
I have the following questions about this fact:
    a) Why the table "CMP3$111448" appeared?
    b) Can I just drop the table "CMP3$111448" to reclaim back the space? ¿Will not materialize a negative effect?
    c) If I drop the table "CMP3$111448", will a similar table appear again? If yes, how can I avoid it happens?
I really would appreciate a little of feedback before I take an action to get back the space.
Regards

I've got a similar mystery table that appears structurally identical to a table with some LOB columns. Same owner. The shadow/copy/mystery table has far fewer rows.
CMP3$160860 has 12193 rows, the "real" table, fatal_error_log, has 109589 rows.
I also would like to drop this table to reclaim space ... but I wonder if it is somehow being used by Oracle in some transient shadow kind of way. Maybe it is left over from an incomplete shutdown/startup where this table wasn't completely flushed or something.
We're also on 11.2.0.4 RDBMS. Running on Sun Solaris. Not using Toplink nor any java features (also of course Oracle is probably using some java in the db.)
If you learn anything about it, please share!
Thanks.

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Hi,
in 11.2.0.2 i've a table with about 2milions of record.
I use a query that like:
select *
FROM DOC
WHERE INDENTIF = 1001 AND TRASF = 0;
to identify new record in the table (TRASF=0).
INDENTIF column contains 5 distinct key and TRASF can be 0,1,2
SELECT COUNT (*), INDENTIF , TRASF
FROM DOC
BY INDENTIF, TRASF
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9           1004          2
1359        1005          1
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306859      1004          1
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MartinPreiss ha scritto:
seeing the results from dba_tab_cols_statistics I think it could be a problem with TRASF and the sample_size: there are two known values (I assume 1 and 2) but only one bucket. For a value not included into the histogram the calculation of selectivity may bring very high results since 10.2.0.4: http://jonathanlewis.wordpress.com/2009/04/23/histogram-change/: "If the value you supply does not appear in the histogram, but is inside the low/high range of the histogram then the cardinality will be half the cardinality of the least frequently occurring value that is in the histogram." For a value outside the known range the result will be smaller, but may still be much too high. Perhaps you can give as the plans for:
select *
FROM DOC
WHERE TRASF = 0;
select *
FROM DOC
WHERE TRASF = 1;
select *
FROM DOC
WHERE TRASF = 2;
SQL> set autotrace traceonly explain
SQL> select *
FROM DOC
WHERE TRANSF = 0; 2    3
Execution Plan
Plan hash value: 3984526059
| Id | Operation         | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT |      |   929K|    18M| 2137   (2)| 00:00:26 |
|* 1 | TABLE ACCESS FULL| DOC |   929K|    18M| 2137   (2)| 00:00:26 |
Predicate Information (identified by operation id):
   1 - filter("TRANSF"=0)
SQL> select *
FROM DOC
WHERE TRANSF = 1; 2    3
Execution Plan
Plan hash value: 3984526059
| Id | Operation         | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT |      | 1858K|    37M| 2142   (2)| 00:00:26 |
|* 1 | TABLE ACCESS FULL| DOC | 1858K|    37M| 2142   (2)| 00:00:26 |
Predicate Information (identified by operation id):
   1 - filter("TRANSF"=1)
SQL> select *
FROM DOC
WHERE TRANSF = 2; 2    3
Execution Plan
Plan hash value: 3984526059
| Id | Operation         | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT |      |   929K|    18M| 2137   (2)| 00:00:26 |
|* 1 | TABLE ACCESS FULL| DOC |   929K|    18M| 2137   (2)| 00:00:26 |
Predicate Information (identified by operation id):
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How to Slice big table in chunks

I am trying to derive a piece of generic logic that would cut in chunks of definite size any big table. The goal is to perform update in chunks and avoid rollback too small issues. The full table scan on the update is unavoidable, since the update target every row of the table.
The BIGTABLE has 63 millions rows. The purpose of the bellow SQL to give the ROWID every two million rows. So I am using the auto row numering field 'rownum' and perfrom a test to see I could. I expected the fist chunk to have 2 millons rows but in fact it is not the case:
Here is the code +(NOTE I had many problems with quotes, so some ROWID appears without their enclosing quotes or they disappear from current output here)+:
select rn, mod, frow, rownum from (
    select rowid rn , rownum frow, mod(rownum, 2000000) mod
from bigtable order by rn) where mod = 0
SQL> /
RN                        MOD       FROW     ROWNUM
AAATCjAA0AAAKAVAAd          0    4000000          1
AAATCjAA0AAAPUEAAv          0   10000000          2
AAATCjAA0AAAbULAAx          0    6000000          3
AAATCjAA0AAAsIeAAC          0   14000000          4
AAATCjAA0AAAzhSAAp          0    8000000          5
AAATCjAA0AABOtGAAa          0   26000000          6
AAATCjAA0AABe24AAE          0   16000000          7
AAATCjAA0AABjVgAAQ          0   30000000          8
AAATCjAA0AABn4LAA3          0   32000000          9
AAATCjAA0AAB3pdAAh          0   20000000         10
AAATCjAA0AAB5dmAAT          0   22000000         11
AAATCjAA0AACrFuAAW          0   36000000         12
AAATCjAA6AAAXpOAAq          0    2000000         13
AAATCjAA6AAA8CZAAO          0   18000000         14
AAATCjAA6AABLAYAAj          0   12000000         15
AAATCjAA6AABlwbAAg          0   52000000         16
AAATCjAA6AACBEoAAM          0   38000000         17
AAATCjAA6AACCYGAA1          0   24000000         18
AAATCjAA6AACKfBABI          0   28000000         19
AAATCjAA6AACe0cAAS          0   34000000         20
AAATCjAA6AAFmytAAf          0   62000000         21
AAATCjAA6AAFp+bAA6          0   60000000         22
AAATCjAA6AAF6RAAAQ          0   44000000         23
AAATCjAA6AAHJjDAAV          0   40000000         24
AAATCjAA6AAIR+jAAL          0   42000000         25
AAATCjAA6AAKomNAAE          0   48000000         26
AAATCjAA6AALdcMAA3          0   46000000         27
AAATCjAA9AAACuuAAl          0   50000000         28
AAATCjAA9AABgD6AAD          0   54000000         29
AAATCjAA9AADiA2AAC          0   56000000         30
AAATCjAA9AAEQMPAAT          0   58000000         31
31 rows selected.
SQL> select count(*) from BIGTABLE where rowid < AAATCjAA0AAAKAVAAd ;
COUNT(*)
    518712             <-- expected around 2 000 000
SQL> select count(*) from BIGTABLE where rowid < AAATCjAA0AAAPUEAAv ;
COUNT(*)
   1218270     <-- expected around 4 000 000
SQL> select count(*) from BIGTABLE where rowid < AAATCjAA0AAAbULAAx ;
COUNT(*)
   2685289    <-- expected around 6 000 000Amzingly, This code works perfectly for small tables but fails for big tables. Does anybody has an explanation and possibly a solution to this?
Here is the full code of the SQL that is suppposed to generated all the predicates I need to add to the UPdate statements in order to cut them in piece :
select line from (
   with v as (select rn, mod, rownum frank from (
       select rowid rn , mod(rownum, 2000000) mod
           from BIGTABLE order by rn ) where mod = 0),
      v1 as (
              select rn , frank, lag(rn) over (order by frank) lag_rn from v ),
      v0 as (
              select count(*) cpt from v)
    select 1, case
                when frank = 1 then ' and rowid < ''' || rn || ''''
                when frank = cpt then ' and rowid >= ''' || lag_rn ||''' and rowid < ''' ||rn || ''''
                else ' and rowid >= ''' || lag_rn ||''' and rowid <'''||rn||''''
             end line
from v1, v0
union
select 2, case
           when frank = cpt then   ' and rowid >= ''' || rn || ''''
          end line
    from v1, v0 order by 1)
and rowid < AAATCjAA0AAAKAVAAd
and rowid >= 'AAATCjAA0AAAKAVAAd' and rowid < 'AAATCjAA0AAAPUEAAv''
and rowid >= 'AAATCjAA0AAAPUEAAv' and rowid < 'AAATCjAA0AAAbULAAx''
and rowid >= 'AAATCjAA0AAAbULAAx' and rowid < 'AAATCjAA0AAAsIeAAC''
and rowid >= 'AAATCjAA0AAAsIeAAC' and rowid < 'AAATCjAA0AAAzhSAAp''
and rowid >= 'AAATCjAA0AAAzhSAAp' and rowid < 'AAATCjAA0AABOtGAAa''
and rowid >= 'AAATCjAA0AAB3pdAAh' and rowid < 'AAATCjAA0AAB5dmAAT''
and rowid >= 'AAATCjAA0AAB5dmAAT' and rowid < 'AAATCjAA0AACrFuAAW''
and rowid >= 'AAATCjAA0AABOtGAAa' and rowid < 'AAATCjAA0AABe24AAE''
and rowid >= 'AAATCjAA0AABe24AAE' and rowid < 'AAATCjAA0AABjVgAAQ''
and rowid >= 'AAATCjAA0AABjVgAAQ' and rowid < 'AAATCjAA0AABn4LAA3''
and rowid >= 'AAATCjAA0AABn4LAA3' and rowid < 'AAATCjAA0AAB3pdAAh''
and rowid >= 'AAATCjAA0AACrFuAAW' and rowid < 'AAATCjAA6AAAXpOAAq''
and rowid >= 'AAATCjAA6AAA8CZAAO' and rowid < 'AAATCjAA6AABLAYAAj''
and rowid >= 'AAATCjAA6AAAXpOAAq' and rowid < 'AAATCjAA6AAA8CZAAO''
and rowid >= 'AAATCjAA6AABLAYAAj' and rowid < 'AAATCjAA6AABlwbAAg''
and rowid >= 'AAATCjAA6AABlwbAAg' and rowid < 'AAATCjAA6AACBEoAAM''
and rowid >= 'AAATCjAA6AACBEoAAM' and rowid < 'AAATCjAA6AACCYGAA1''
and rowid >= 'AAATCjAA6AACCYGAA1' and rowid < 'AAATCjAA6AACKfBABI''
and rowid >= 'AAATCjAA6AACKfBABI' and rowid < 'AAATCjAA6AACe0cAAS''
and rowid >= 'AAATCjAA6AACe0cAAS' and rowid < 'AAATCjAA6AAFmytAAf''
and rowid >= 'AAATCjAA6AAF6RAAAQ' and rowid < 'AAATCjAA6AAHJjDAAV''
and rowid >= 'AAATCjAA6AAFmytAAf' and rowid < 'AAATCjAA6AAFp+bAA6''
and rowid >= 'AAATCjAA6AAFp+bAA6' and rowid < 'AAATCjAA6AAF6RAAAQ''
and rowid >= 'AAATCjAA6AAHJjDAAV' and rowid < 'AAATCjAA6AAIR+jAAL''
and rowid >= 'AAATCjAA6AAIR+jAAL' and rowid < 'AAATCjAA6AAKomNAAE''
and rowid >= 'AAATCjAA6AAKomNAAE' and rowid < 'AAATCjAA6AALdcMAA3''
and rowid >= 'AAATCjAA6AALdcMAA3' and rowid < 'AAATCjAA9AAACuuAAl''
and rowid >= 'AAATCjAA9AAACuuAAl' and rowid < 'AAATCjAA9AABgD6AAD''
and rowid >= 'AAATCjAA9AABgD6AAD' and rowid < 'AAATCjAA9AADiA2AAC''
and rowid >= 'AAATCjAA9AADiA2AAC' and rowid < 'AAATCjAA9AAEQMPAAT''
and rowid >= 'AAATCjAA9AAEQMPAAT''
33 rows selected.
SQL> select count(*) from BIGTABLE where 1=1 and rowid < AAATCjAA0AAAKAVAAd ;
COUNT(*)
    518712
SQL> select count(*) from BIGTABLE where 1=1 and rowid >= 'AAATCjAA9AAEQMPAAT'' ;
COUNT(*)
   1846369Nice but not accurate....

Yes it works as intended now : +( still this annoying issue of quotes, so some rowid appear without enclosing quotes)+
from (select rn, rownum frow, mod(rownum, 2000000) mod
        from (select rowid rn from BIGTABLE order by rn)
        order by rn
where mod = 0
SQL> /
RN                        MOD       FROW     ROWNUM
AAATCjAA0AAAVNlAAQ          0    2000000          1
AAATCjAA0AAAlxyAAS          0    4000000          2
AAATCjAA0AAA2CRAAQ          0    6000000          3
AAATCjAA0AABFcoAAn          0    8000000          4
AAATCjAA0AABVIDAAi          0   10000000          5
AAATCjAA0AABoSEAAU          0   12000000          6
AAATCjAA0AAB3YrAAf          0   14000000          7
AAATCjAA0AACE+oAAS          0   16000000          8
AAATCjAA0AACR6dAAR          0   18000000          9
AAATCjAA0AACe8AAAa          0   20000000         10
AAATCjAA0AACt3CAAS          0   22000000         11
AAATCjAA6AAAPXrAAT          0   24000000         12
AAATCjAA6AAAgO4AA5          0   26000000         13
AAATCjAA6AAAwKfAAu          0   28000000         14
AAATCjAA6AABAQBAAH          0   30000000         15
AAATCjAA6AABREdAA9          0   32000000         16
AAATCjAA6AABhFIAAT          0   34000000         17
AAATCjAA6AABxyZAAj          0   36000000         18
AAATCjAA6AACA5CAAm          0   38000000         19
AAATCjAA6AACNJBAAN          0   40000000         20
AAATCjAA6AACbLgAAV          0   42000000         21
AAATCjAA6AACoukAAD          0   44000000         22
AAATCjAA6AAFsS8AAO          0   46000000         23
AAATCjAA6AAF36JAAa          0   48000000         24
AAATCjAA6AAHJzoAAv          0   50000000         25
AAATCjAA6AAKMCHAAv          0   52000000         26
AAATCjAA6AAL2RbAAT          0   54000000         27
AAATCjAA9AABLLbAAH          0   56000000         28
AAATCjAA9AACmSyAAA          0   58000000         29
AAATCjAA9AAEO/nAAe          0   60000000         30
AAATCjAA9AAEbC7AAI          0   62000000         31
31 rows selected.
SQL> select count(*) cpt from BIGTABLE where rowid < AAATCjAA0AAAVNlAAQ ;
       CPT
   1999999
SQL> select count(*) cpt from BIGTABLE where rowid >= 'AAATCjAA6AAAgO4AA5' and rowid < AAATCjAA6AAAwKfAAu ;
       CPT
   2000000

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A table "CMP3$111448" appears in DB replicating a big table and spending a lot of space in database

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