Keeping stats up to date for partitioned tables
Hi,
Oracle version 10.2.0.4
I have a partioned table. I would like to keep stats up-to-date.
Can I just run a single command to update table stats, indexes and partitions please?
exec dbms_stats.gather_table_stats(user, 'TABLE', cascade=>true)or I also need to run exec dbms_stats.gather_table_stats(user, 'TABLE', granularity=>partition)
thanks,
Ashok
Edited by: 902986 on 27-Oct-2012 11:06
Edited by: 902986 on 27-Oct-2012 11:07
thanks
yes there were many indexes on the original non-partitioned table and I have created another table partitioned and now populating it with the data from the original table. the new table is partitioned on a date range column for all years before 2012, then for 2012, 2013 and so forth.
the indexes are all created locally bar a unique index (as per original table), created globally to enforce uniqueness across the table itself. the search will always look to year to date say 1st jan 2012 tilll today for risk analysis. the partition is on that date column and there is also a local index on that date column as well, to avoid table scan (tested with disabling that index, predictably did table scan and was less efficient).
in a DW environment, I don't see much value in having global index bar for primary key/unique constraint. I do realise that if the query crosses more than one partition, say 2 partitions, there will be two b-tree local index scans rather than one, but that would be rare (from the way they query the table).
therefore my plan is to perform a full table stats with cascade=>true and measure the time it takes and plan to do the same if the maintenance window allows it.
thanks again for your help
Edited by: 902986 on 28-Oct-2012 13:24
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SELECT a.pay_prd_id,
a.a_id,
a.a_evnt_no
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c,
a,
d
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union all
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union all
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union all
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union all
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A_ID NUMBER(9) NOT NULL,
A_EVNT_NO NUMBER(3) NOT NULL,
A_DAYS NUMBER(3),
A_LAST_UPD_DT DATE
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INTERVAL( 1)
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B_LAST_UPD_DT DATE
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D_DAYS NUMBER(3),
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TAB_C_RPT,
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Plan
SELECT STATEMENT ALL_ROWS Cost: 79 K Bytes: 641 M Cardinality: 3 M
18 HASH JOIN Cost: 79 K Bytes: 641 M Cardinality: 3 M
3 PART JOIN FILTER CREATE SYS.:BF0000 Cost: 7 K Bytes: 72 M Cardinality: 3 M
2 PARTITION RANGE ALL Cost: 7 K Bytes: 72 M Cardinality: 3 M Partition #: 3 Partitions accessed #1 - #1048575
1 TABLE ACCESS FULL TABLE TAB_D_RPT Cost: 7 K Bytes: 72 M Cardinality: 3 M Partition #: 3 Partitions accessed #1 - #1048575
17 HASH JOIN Cost: 57 K Bytes: 182 M Cardinality: 874 K
14 PART JOIN FILTER CREATE SYS.:BF0001 Cost: 38 K Bytes: 87 M Cardinality: 914 K
13 HASH JOIN Cost: 38 K Bytes: 87 M Cardinality: 914 K
6 PART JOIN FILTER CREATE SYS.:BF0002 Cost: 8 K Bytes: 17 M Cardinality: 939 K
5 PARTITION RANGE ALL Cost: 8 K Bytes: 17 M Cardinality: 939 K Partition #: 9 Partitions accessed #1 - #1048575
4 TABLE ACCESS FULL TABLE TAB_C_RPT Cost: 8 K Bytes: 17 M Cardinality: 939 K Partition #: 9 Partitions accessed #1 - #1048575
12 HASH JOIN Cost: 24 K Bytes: 74 M Cardinality: 957 K
7 INDEX FAST FULL SCAN INDEX (UNIQUE) TAB_B_RPT_PK Cost: 675 Bytes: 10 M Cardinality: 941 K
11 PARTITION RANGE SINGLE Cost: 18 K Bytes: 65 M Cardinality: 970 K Partition #: 13 Partitions accessed #KEY(AP)
10 TABLE ACCESS FULL TABLE TAB_A_RPT Cost: 18 K Bytes: 65 M Cardinality: 970 K Partition #: 13 Partitions accessed #KEY(AP)
9 HASH UNIQUE Cost: 4 Bytes: 14 Cardinality: 2
8 TABLE ACCESS FULL TABLE PAY_PRD Cost: 3 Bytes: 14 Cardinality: 2
16 PARTITION RANGE JOIN-FILTER Cost: 8 K Bytes: 106 M Cardinality: 939 K Partition #: 17 Partitions accessed #:BF0001
15 TABLE ACCESS FULL TABLE TAB_C_RPT Cost: 8 K Bytes: 106 M Cardinality: 939 K Partition #: 17 Partitions accessed #:BF0001
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end createTempTab;
end;
/ -
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http://otn.oracle.com/pls/db92/db92.docindex?remark=homepage
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Trtrento wrote:
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( indate = to_date(t_indate , 'mm/dd/yyyy')) AND
( trim_to_time(indate) >= to_char(t_timefrom, ' HH24:MI:SS')) AND
( trim_to_time(indate) <= to_char( t_timeto, ' HH24:MI:SS')) AND... Tx all
TrI agree with David that the first example looked okay, but you should test to make sure. You can check individual partition contents by executing a query using the PARTITION option to specifiy a specific partition to check the values there. -
Fastest way to import the data for big tables
Hi friends,
I have recently joined a billing product set up team for TELECOM giant.As part of the setup process /initial testing we need to put huge data (nearly 1.5 billion records/~200 GB size of data) in some tables. Currently i am using impdp for importing .It takes a lot of time (nearly >9 hours for loading this data).
I have tried the below ways to import the data(All these tables are partitioned):
1. Normal impdp (single thread i.e. parallel=1): This one takes a lot of time (>24 hours).
2. Normal impdp but partition-wise .This one is completed in relatively less amout of time compared to the 1st method.
3. Drop drop the indexes ,do inset append from another schema in same instance which has the data and then recreate the indexes ( total process takes ~9 hours)
My questions to all:
1.Is there any other way/trick in the book which I can try to put the data in less amount of time
2.What i have observed that even if I give parallel=8 or any number ,sometimes parallel workers are spawned and sometimes not. Can someone educate me why ?
3.How can i come to know (before running the impdp ) that my parallel clause is going to spawn the parallel workers or not. I have searched on this subject but no success as to how I will come to know this.
I dont know what strategy to follow ,because this is a involved and repetitive task for me. Due to the above task I am not able to concentrate on other DBA tasks due to this which come to me.
Cheers,
Kunwarassuming you have a table with 3 indexes, then create a script for each index (reblace index_name_n with your index name) and start them at the same time, after the import of the table is completed
DUMPFILE=<DUMPFILE> or NETWORK_LINK=<DBLINK>
DIRECTORY=DATA_PUMP_DIR
LOGFILE=<IMP_INDEX_NAME_n>
CONTENT=ALL
PARALLEL=1
JOB_NAME=IMP_<INDEX_NAME_n>
INCLUDE=TABLE_EXPORT/TABLE/INDEX:"IN('<INDEX_NAME_n>')"
TABLES=<SCHEMA>.<TABLE>change following settings during import:
increase pga_aggregate_target
increase db_writer_processes
db_block_checking=false
db_block_checksum=false
set undo and temp ts to autoextend
set noarchivelogmode
create 4GB redo logs
hth -
EA 4.0 - Icon for partitioned tables changed
The icon in the tree list changed in the EA Version 4.0 to the normal table icon.
Best will be to get an icon with a small "p" inside so that partitioned tables can be seen in the tree list.CREATE TABLE "ANPQUALITY"."PART_REPLICATION"
( "UNIQUEPART_ID" VARCHAR2(80 BYTE) NOT NULL ENABLE,
"IDENTIFIER_TYPE" VARCHAR2(10 BYTE) NOT NULL ENABLE,
"DATE_CHANGED" TIMESTAMP (6) WITH TIME ZONE,
"TIME_STAMP" TIMESTAMP (6) WITH TIME ZONE,
"V_DATE_CHANGED" DATE GENERATED ALWAYS AS (TO_DATE(TO_CHAR("DATE_CHANGED",'YYYYMMDD HH24:MI:SS'),'YYYYMMDD HH24:MI:SS')) VIRTUAL VISIBLE ,
CONSTRAINT "PART_REPLICATION_PK" PRIMARY KEY ("UNIQUEPART_ID", "IDENTIFIER_TYPE") USING INDEX PCTFREE 5 INITRANS 8 MAXTRANS 255
COMPUTE STATISTICS STORAGE(INITIAL 104857600 NEXT 104857600 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE TRACE ENABLE)
PCTFREE 5 PCTUSED 40 INITRANS 8 MAXTRANS 255 COMPRESS FOR OLTP STORAGE
(BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "TRACE" LOB ("PART_DATA") STORE AS BASICFILE (
ENABLE STORAGE IN ROW CHUNK 32768 RETENTION NOCACHE LOGGING STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
PARTITION BY RANGE ("V_DATE_CHANGED") INTERVAL (NUMTOYMINTERVAL(1,'MONTH') )
(PARTITION "P_00" VALUES LESS THAN (TO_DATE(' 2012-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
PCTFREE 5 PCTUSED 40 INITRANS 8 MAXTRANS 255
STORAGE(INITIAL 104857600 NEXT 104857600 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "TRACE" LOB ("PART_DATA") STORE AS BASICFILE (
TABLESPACE "TRACE" ENABLE STORAGE IN ROW CHUNK 32768 RETENTION NOCACHE LOGGING
STORAGE(INITIAL 104857600 NEXT 104857600 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT))
COMPRESS FOR OLTP -
Error while selecting data for mara table from KOTG516 table
Hello all,
I am trying to select the data from mara table with respect to KOTG516 table . but i am not getting the value into t_mara table as t_kotg516-matnr is empty . but the t_kotg516 conatins the matnr value . here is the code . i am not getting where i went wrong . please help .
TYPES: BEGIN OF Y_KOTG516,
KAPPL TYPE KAPPL,
KSCHL TYPE KSCHG,
VKORG TYPE VKORG,
VTWEG TYPE VTWEG,
KUNAG TYPE KUNAG,
MATNR TYPE MATNR,
DATBI TYPE KODATBI,
END OF Y_KOTG516.
DATA: T_KOTG516 TYPE STANDARD TABLE OF Y_KOTG516,
E_KOTG516 TYPE Y_KOTG516.
TYPES: BEGIN OF Y_MARA,
MATNR TYPE MATNR,
MEINS TYPE MEINS,
END OF Y_MARA.
DATA: T_MARA TYPE STANDARD TABLE OF Y_MARA,
E_MARA TYPE Y_MARA.
SELECT KAPPL
KSCHL
VKORG
VTWEG
KUNAG
MATNR
DATBI
FROM KOTG516
INTO TABLE T_KOTG516
WHERE VKORG IN S_VKOR
AND VTWEG IN S_VTWE
AND KUNAG IN S_KUNAG.
IF NOT T_KOTG516[] IS NOT INITIAL
and SY-SUBRC EQ 0.
SELECT MATNR
MEINS
FROM MARA
INTO TABLE T_MARA
FOR ALL ENTRIES IN T_KOTG516
WHERE MATNR EQ T_KOTG516-MATNR
AND MEINS EQ 'CS'
OR MEINS EQ 'IT'.
ENDIF.
FOR T_KOTG516 I HAVE VALUE but matnr is not getting selected from mara table as i cheked t_kotg516-mara is empty . i cant use with header line . please advise .
Regardshi,
SELECT KAPPL
KSCHL
VKORG
VTWEG
KUNAG
MATNR
DATBI
FROM KOTG516
INTO TABLE T_KOTG516
WHERE VKORG IN S_VKOR
AND VTWEG IN S_VTWE
AND KUNAG IN S_KUNAG.
if sy-subrc = 0 .
SELECT MATNR
MEINS
FROM MARA
INTO TABLE T_MARA
FOR ALL ENTRIES IN T_KOTG516
WHERE MATNR EQ T_KOTG516-MATNR
AND MEINS EQ 'CS'
OR MEINS EQ 'IT'.
ENDIF.
regards
deepak .
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