Change Data Capture (CDC) - Best Approach

Hi,
I am new to BODI and currently trying to design a change data capture approach.
In other ETL tools i have used, the last session run timestamp is stored as a parameter and can be called within a mapping. So the mapping updates this parameter everytime it runs. Therefore when implementing CDC the load_date on the table has to be compared to this parameter.
Is there a similar concept in BODI?
I appreciate your help.
Thanks
Azeem

Yes, there is such a concept, you have to build it yourself. e.g. https://wiki.sdn.sap.com:443/wiki/display/BOBJ/Inititialize-End+Script
When you use a CDC enabled datastore however, the database wants to keep track of the data read, that's part of their CDC API. So it is not DI is querying all changes since yesterday, it is a "select * from CDC table" and the database returns just the rows since the last read. Push vs. Pull.

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  • Distributed Hotlog Change Data Capture (CDC) on 10.2.0.3 - Very Urgent

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    The alert log file reads:
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    Version: Generic_118833-24
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  • Change Data Capture feature

    hi,
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    Gerd
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  • CDC (Change Data Capture) with 2 Tables

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    Hello,
    I opened SR with Oracle Support, they are suggesting to perform full database import/export
    Change Data Capture change sources, change sets, change tables, and subscriptions are exported and imported by the Oracle Data Pump expdp and impdp commands with the following restrictions.
    Change Data Capture objects are exported and imported only as part of full database export and import operations (those in which the expdp and impdb commands specify the FULL=y parameter). Schema-level import and export operations include some underlying objects (for example, the table underlying a change table), but not the Change Data Capture metadata needed for change data capture to occur."
    CDC has different implementation methods:
    You may use the below query to determine-
    select SOURCE_NAME, SOURCE_DESCRIPTION, CREATED, SOURCE_TYPE, SOURCE_DATABASE, SOURCE_ENABLED from change_sources;
    – Synchronous CDC: with this implementation method you capture changes
    synchronously on the source database into change tables. This method uses
    internal database triggers to enable CDC. Capturing the change is part of the
    original transaction that introduces the change thus impacting the performance
    of the transaction.
    – Asynchronous Autolog CDC: this implementation method requires a staging
    database separate from the source database. Asynchronous Autolog CDC uses
    the database's redo transport services to transport redo log information from
    the source database to the staging database1. Changes are captured at the
    staging database. The impact to the source system is minimal, but there is some
    latency between the original transaction and the change being captured.
    As suggested in the document-
    Change Data Capture objects are exported and imported only as part of full database export and import operations (those in which the expdp and impdb commands specify the FULL=y parameter). Schema-level import and export
    operations include some underlying objects (for example, the table underlying a change table), but not the Change Data Capture metadata needed for change data capture to occur.
    ■ AutoLog change sources, change sets, and change tables are not supported.
    Starting in Oracle Database 10g, Oracle Data Pump is the supported export and import utility for Change Data Capture.
    Re-Creating AutoLog Change Data Capture Objects After an Import Operation
    http://docs.oracle.com/cd/B19306_01/server.102/b14223/cdc.htm#i1027532
    After a Data Pump full database import operation completes for a database containing AutoLog Change Data Capture objects, the following steps must be performed to restore these objects:
    a. The publisher must manually drop the database objects underlying AutoLog Change Data Capture objects.
    b. The publisher must re-create the AutoLog change sources, change sets, and change tables using the appropriate DBMS_CDC_PUBLISH procedures.
    c. Subscribers must re-create their subscriptions to the AutoLog change sets.

  • Can you help me about change data captures in 10.2.0.3

    Hi,
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    Change Data Capture Mode Asynchronous autolog archive mode..It works correctly( except for ddl).Now I have some questions about CDC implementation for large tables.
    I have one senario to implement but I do not find exactly how can I do it correctly.
    I have one table (name test) that consists of 100 000 000 rows , everyday 1 000 000 transections occurs on this table and I archive the old
    data more than one year manually.This table is in the source db.I want to replicate this table by using Change Data Capture to other stage database.
    There are some questions about my senario in the following.
    1.How can I make the first load operations? (test table has 100 000 000 rows in the source db)
    2.In CDC, it uses change table (name test_ch) it consists of extra rows related to opearations for stage table.But, I need the orjinal table (name test) for applicaton works in stage database.How can I move the data from change table (test_ch) to orjinal table (name test) in stage database? (I don't prefer to use view for test table)
    3.How can I remove some data from change table(name test_ch) in stage db?It cause problem or not?
    4.There is a way to replicate ddl operations between two database?
    5. How can I find the last applied log on stage db in CDC?How can I find archive gap between source db and stage db?
    6.How can I make the maintanence of change tables in stage db?

    Asynchronous CDC uses Streams to generate the change records. Basically, it is a pre-packaged DML Handler that converts the changes into inserts into the change table. You indicated that you want the changes to be written to the original table, which is the default behavior of Streams replication. That is why I recommended that you use Streams directly.
    <p>
    Yes, it is possible to capture changes from a production redo/archive log at another database. This capability is called "downstream" capture in the Streams manuals. You can configure this capability using the MAINTAIN_* procedures in DBMS_STREAMS_ADM package (where * is one of TABLES, SCHEMAS, or GLOBAL depending on the granularity of change capture).
    <p>
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    <br>2) Run the command at the database that will perform the downstream capture. This database can also be the destination (or target) database where the changes are to be applied.
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    <br>apply_queue_name=>'STRMADMIN.STREAMS_QUEUE'

  • Change Data Capture How to Tell which you are running Sync or Asyn

    Hi ,
    I am taking over a new system that has change data capture running, but Im really confused how this is running. Most of the CDC is set up using Sync(triggers), but I have about 5 tables that DO NOT have system generated triggers on them. I know Streams is NOT running/configured. I know Capture is not running/configured (because nothing in DBA_CAPTURE table). I can tell that these 5 tables are still getting updated in the change table schema. I can not figure out how the 5 tables that DO NOT have triggers on them are updating the change data set tables.
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    Thanks for the reply, but I think I must have not stated the problem clearly. I dont WANT to set the source I want to figure out how this CDC is working. I see ALL the sources are currently set to SYNC_SOURCE. Almost all of the tables are set up with system triggers on them, but 5 dont have system triggers, yet the source says SYNC_SOURCE. I did validate that the change tables are getting updated for these tables. my question is how are they getting updated? I "assume" since they dont have system triggers ont eh table they aren't synchoronus cdc (like the other tables are). yet the source says SYNC_SOURCE. What am I missing? How can I tell if the redo log is populating those changes tables? Im pretty sure it is (Becuase there aren't triggers or jobs running), but Im curious if there is a way to tell for sure.
    Thanks,

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