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This chapter focuses on SQL techniques used to manage database objects, including object types such as tables, indexes, views, and synonyms. The SQL statements you use to create and modify objects are often referred to as data definition language (DDL) statements. Managing DDL is part of a database administrator s daily job. DBAs frequently generate and modify DDL scripts to build development, test, staging, and production databases. For these reasons a DBA needs to be particularly deft at writing DDL. Some will argue that only a database administrator should maintain and manage DDL and that developers should keep their hands out of schema management. However, the reality is that developers often find themselves in environments where they need to write and maintain DDL. For example, you might be in a shop that doesn t have a DBA or perhaps you ve created your own personal database to use for development and testing. In these situations the developer is required to perform database administration tasks and therefore must be familiar with writing DDL statements. This chapter doesn t cover every object manipulation statement available. Instead, it focuses on the most commonly encountered user objects and how to manage them. We ll look first at basic table creation and modification statements, then progress to other typical object maintenance tasks.

There are situations where you want to utilize the synchronous capture process. First, Streams is available only with an Oracle Enterprise Edition license. If you want to use Streams with the Standard Edition, you must use the synchronous option. The synchronous option should be used cautiously. You should not turn on synchronous capture for all the tables for high-volume OLTP transaction databases. You should consider setting up synchronous capture for a few tables that do not have high transaction volumes. Another great candidate is for databases that are not in archivelog mode or can enable the traditional Streams log-based capture.

MANAGER_ID ---------100 102 108 110 111 112 113 101 101 102 103

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Please bear in mind the restrictions associated with synchronous capture. First, it is applicable only for DML. DDL changes cannot participate in synchronous capture. Second, synchronous capture will not capture changes on IOTs if the IOT has any of these datatypes: LONG, LONG RAW, CLOB, NCLOB, BLOB, BFILE, ROWID, and XMLType. Synchronous capture cannot capture changes made to temporary tables or object tables. Synchronous capture can enqueue messages only from a commit-time queue. In addition, changes to sequence values are not captured. SQL*Loader in direct load mode is not supported. Similar to the conventional Oracle Streams, the users sys, system, and ctxsys cannot participate in synchronous capture. Synchronous capture rules must be a positive rule set. Negative rules are prohibited. The only rules that are valid for synchronous captures are rules specified at the table level or for

EMPLOYEE_ID -----------101 109

Finally, your Macintosh server needs to be running the curl command-line tool from http://curx.haxx.se. Type curl --version at the command line. If curl is installed, you will see a version number. If you get the message Command not found, install curl.

subset of rows. Rules must be added using the add_table_rules or add_subset_rules procedure from the DBMS_STREAMS_ADM package. The following commands are ignored in a synchronous capture: plan call explain lock alter system alter session set role dbms_redefinition Rules created by the DBMS_RULE_ADM package Calls to the PL/SQL (but the underlying changes to database objects are captured)

108 203 103 104

The capture user must be set up to capture DML changes applicable for the rule set. This can be accomplished by invoking the DBMS_CAPTURE_ADM.ALTER_SYNC_CAPTURE procedure. As stated before, the synchronous capture must use the ANYDATA queue. To create the ANYDATA queue, you can use the DBMS_STREAMS_ADM.SET_UP_QUEUE procedure. For example: begin dbms_streams_adm.set_up_queue (queue_table => ' STREAMS_ADMIN.STREAMS_QUEUE_TABLE ', queue_name => ' STREAMS_ADMIN.STREAMS_QUEUE ', queue_user => ' RODBA '); end; /

Our recipe works in two parts. The inner query selects the columns of data in which we are interested, in this case, JOB_ID, MANAGER_ID, and EMPLOYEE_ID. It also adds two further columns computed with the ROW_NUMBER analytic function that we don t see in the final output. These two columns are the JOB_CTR and JOBMAN_CTR values, and are used to number the result rows based on our explicit desire to have JOB_ID displayed first, and MANAGER_ID displayed second. Our partitioning and sorting options for JOB_CTR restarts numbering each time the JOB_ID changes. For JOBMAN_CTR, we restart numbering each time the MANAGER_ID changes within each JOB_ID. To understand how we then use this data in the outer SELECT, let s look at the results of the subselect in isolation. The next SQL statement is the subselect executed as a stand-alone SELECT statement, followed by partial results. select job_id, row_number() over (partition by job_id order by job_id) as job_ctr, manager_id, row_number() over (partition by job_id, manager_id order by job_id, manager_id) as jobman_ctr, employee_id from hr.employees;

Note The default value for QUEUE_TABLE is streams_queue_table, and the default value for QUEUE_

JOB_ID ---------... AD_VP AD_VP FI_ACCOUNT FI_ACCOUNT FI_ACCOUNT FI_ACCOUNT FI_ACCOUNT FI_MGR HR_REP IT_PROG IT_PROG ...

To start the synchronous capture process, you have several procedures from which to choose: DBMS_STREAMS_ADM.ADD_TABLE_RULES DBMS_STREAMS_ADM.ADD_SUBSET_RULES DBMS_CAPTURE_ADM.CREATE_SYNC_CAPTURE

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