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partitions, each 4GB in size, then you can rebuild each partition one by one Alternatively, if you are doing this during off-hours and have ample resources, you can even do the ALTER TABLE MOVE statements in parallel, in separate sessions, potentially reducing the amount of time the whole operation will take Virtually everything you can do to a nonpartitioned object, you can do to an individual partition of a partitioned object You might even discover that your migrated rows are concentrated in a very small subset of your partitions, hence you could rebuild one or two partitions instead of the entire table Here is a quick example demonstrating the rebuild of a table with many migrated rows Both BIG_TABLE1 and BIG_TABLE2 were created from a 10,000,000-row instance of BIG_TABLE (see the Setting up Your Environment for This Book section for the BIG_TABLE creation script).

Since the dynamic DBA_DATA PUMP_JOBS view shows only the active jobs, a query on this view will reveal the value of the important JOB_NAME column for any job that is running right now. You ll need to know the job name for a job if you want to attach to a running job in midstream. Because the name of the master table is the same as the JOB_NAME value, you can thus determine the name of the master table through this view. The JOB_MODE column can take the values FULL, TABLE, SCHEMA, or TABLESPACE, reflecting the mode of the currently executing export or import job. The STATE column can take the values UNDEFINED, DEFINING, EXECUTING, and NOT RUNNING, depending on which stage of the export or import you execute your query. Of course, when there aren t any active jobs running, the view DBA_DATAPUMP_JOBS returns no rows whatsoever.

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This chapter introduces the concept of and uses for parallel execution in Oracle. We ll start by looking at when parallel processing is useful and should be considered, as well as when it should not be considered. After gaining that understanding, we move on to the mechanics of parallel query, the feature most people associate with parallel execution. Next we cover parallel DML (PDML), which allows us to perform modifications using parallel execution. We ll see how PDML is physically implemented and why that implementation leads to a series of restrictions regarding PDML. We then move on to parallel DDL. This, in my opinion, is where parallel execution really shines. Typically, DBAs have small maintenance windows in which to perform large operations. Parallel DDL gives DBAs the ability to fully exploit the machine resources they have available, permitting them to finish large, complex operations in a fraction of the time it would take to do them serially. The chapter closes on procedural parallelism, the means by which we can execute application code in parallel. We cover two techniques here. The first is parallel pipelined functions, or the ability of Oracle to execute stored functions in parallel dynamically. The second is do-ityourself (DIY) parallelism, whereby we design the application to run concurrently.

The DBA_DATAPUMP_SESSIONS view identifies the user sessions currently attached to a Data Pump Export or Import job. You can join the SADDR column in this view with the SADDR column in the V$SESSION view to gain useful information about user sessions that are currently attached to a job. The following query shows this information: SQL> SELECT sid, serial# FROM v$session s, dba_datapump_sessions d WHERE s.saddr = d.saddr;

BIG_TABLE1 is a regular, nonpartitioned table whereas BIG_TABLE2 is a hash partitioned table in eight partitions (we ll cover hash partitioning in detail in a subsequent section; suffice it to say, it distributed the data rather evenly into eight partitions): ops$tkyte@ORA11GR2> create table big_table1 2 ( ID, OWNER, OBJECT_NAME, SUBOBJECT_NAME, 3 OBJECT_ID, DATA_OBJECT_ID, 4 OBJECT_TYPE, CREATED, LAST_DDL_TIME, 5 TIMESTAMP, STATUS, TEMPORARY, 6 GENERATED, SECONDARY ) 7 tablespace big1 8 as 9 select ID, OWNER, OBJECT_NAME, SUBOBJECT_NAME, 10 OBJECT_ID, DATA_OBJECT_ID, 11 OBJECT_TYPE, CREATED, LAST_DDL_TIME, 12 TIMESTAMP, STATUS, TEMPORARY, 13 GENERATED, SECONDARY 14 from big_tablebig_table; Table created.

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