Best Tool / Method - Move Data In Real Time?

Sep 22, 2010

We have oracle 9i database named A with 2 schema A1 and A2.User enters data at A1 schema and the incremental data moved to A2 schema after some verfications performed by some scheduled job on A1 schema.

we want to move this incremental data to B1 schema of another oracle 9i database B at the real time when data gets entered to A2 schema of A oracle 9i database. We have access to A2 schema of A database and B1 schema of B database.way to do it or best practice to do this activity or if there is any third party tool or any available oracle utility to perform it?

Note: A2 schema of A database and B1 schema of B database has one to one mapping.We want to avoid using trigger on A2 schema, how data gets populated from A1 to A2 schema .

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Real Time Data Migration

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we have a requirement for migrating data real time from source db to target db as well as to a queue.

achieve this using any custom technique?

we tried exploring Streams with CDC but Streams being depricated and CDC removed in Oracle 12 c, we are kind of stuck.

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Dec 11, 2012

With 11gr2, by default, on STARTUP, the standby database is open
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so the ACTIVE DATAGUARD option is in use ....

is there a way to deactivate REAL TIME QUERY permanently, so whether on STARTUP or STARTUP MOUNT, the standby stay only mounted with Intended State: APPLY-ON

The only way i found is to do the following :

SQL> startup
DGMGRL> edit database 'PHNXENT' set state='APPLY-OFF';
then
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/
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Feb 4, 2011

I've got a query running a select count (*) over a table. The default plan takes in the order of 15 minutes to return, a hinted plan to use a different index takes 3 minutes to return.

Unfortunately I cant get at the index stats and a few other areas which I suspect may be key here.When running autotrace against the two queries I see fairly different values as one would expect.

Query

select count (*) from fulfilmentitem bfi where created >= sysdate-30 AND bfi.status = 'FA' AND bfi.fulfilmentmethod = 'D'
Slow run
PLAN_TABLE_OUTPUT
-----------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)|
----------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 15 | 33119 (1)|
| 1 | SORT AGGREGATE | | 1 | 15 | |
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|* 3 | INDEX RANGE SCAN | IDX_FULFIL_METHODSTATUS | 250K| | 1786 (1)|
----------------------------------------------------------------------------------------------
[code]....

IDX_FULFIL_METHODSTATUS is across FULFILMENTMETHOD & STATUS in that order.
IDX_BFI_CREATED is on CREATED and is approx 70% of the size of the other index

The row counts estimated in the explain plan are out, the count(*) comes in at 32.8k rows.As you will have seen, the fast run shows a pretty significant consistent get increase compared to the slow run and a decent though not dramatic physical read drop.

My uncertainty is around if these changes in consistent get/phys read values would typically be enough to suggest the real time improvements I'm observing or if other (albeit perhaps temporary) factors are involved. It is a prod OLTP environment so the data will be rapidly changing and that may be a factor.

I know it can never be an exact science without intimately knowing the hardware/current loads etc but I also know that there's enough experience on these boards to have a loose handle on if the time shifts between queries are likely (or not) to be reflective of the stat changes or if those differences alone shouldn't (or typically wouldn't account) for it.

I'm thinking about instructing the query to ignore its original plan but am hesitant to do so without being a little more confident that it's not just a timing thing or something other than the change of index approach which may be causing the improvement. the autotrace stat changes observed I couldn't put my hand on heart say "yup - that change is good, ignore the default index all the time for this job".

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Oct 17, 2011

Our application has been installed at customers in North America, Europe and South America for several years, in some cases, over 10 years. At least one of our customers has hundreds of gigabytes of data. We are considering options for cleaning out the old data.

The database runs on a variety of systems (Linux, Windows, Unix) and in several version (Oracle 9, 10, and 11). We need a solution that works in all environments.

Two of our main criteria for a successful solution are that:
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For various reasons (license cost, installation issues) the partitioning option is not available to us.

Alternative 1: Flag records for cleanup

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Advantage of this is that the deletion process will use a full table scan to find the marked records. There is no index navigation, so hopefully less overhead. Disadvantage is that its updating application data which might affect user's perceived system response. There is some undefined concern that locking or other table activity involved with updating the flags could impact users.

Alternative 2: Build a list of keys for data to be deleted

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Advantage is that it doesn't update the application data as its building the list. Disadvantages are that it that there is some overhead in building and checking the list. The list requires more space than the flags in alternative 1 but we can handle that in various ways. The procedure needs to navigate key structures during the delete step as well as in the list-building phase.

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I have to move data from old tables into new tables. I use a sqlplus script and execute multiple 'insert from select'. I thought the SQL statements are executed in sequence, one after the other. I run into this problem: Let's take this script for an example

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When the script is executed in production, A table record count is 5

select count (*) from A joined with Y; (used in the second insert)

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Will executing

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The requirement details are as below,

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3) There are around 10 regions.

4) The region wise data extraction from source db is based on around 40 to 50 tables. Rest of the tables contains static data & it will not change.

5) The volume is around 1 million subscribers per region.

6) The migration is required because

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b) There is a change in structure of static tables

c) Hardware upgrade

d) The client want to start with single region on new database & rest of the regions will be operated from old database.

7) Keep execution time to very minimum.

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Jul 3, 2012

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INSERT INTO TB_B
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create or replace TYPE "BT_VR" AS varray(20) of BT_TYPE
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And I have a used this Varray as the column datatype in table

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Something similar to,

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