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Figure 1-1. Simple ERD The developers needed to be able to report on the parent record with aggregates from each of the child tables. The databases they worked with in the past did not support subquery factoring (WITH clause), nor did they support inline views the ability to query a query instead of query a table. Not knowing these features existed, they wrote their own database of sorts in the middle tier. They would query the parent table and for each row returned run an aggregate query against each of the child tables. This resulted in their running thousands of tiny queries for each single query the end user wanted to run. Or, they would fetch the entire aggregated child tables into their middle tier into hash tables in memory and do a hash join. In short, they were reinventing the database, performing the functional equivalent of a nested loops join or a hash join, without the benefit of temporary tablespaces, sophisticated query optimizers, and

---------------------------------------------| Id | Operation | Name | ---------------------------------------------| 0 | UPDATE STATEMENT | | | 1 | PX COORDINATOR | | | 2 | PX SEND QC (RANDOM) | :TQ10001 | | 3 | INDEX MAINTENANCE | BIG_TABLE | | 4 | PX RECEIVE | | | 5 | PX SEND RANGE | :TQ10000 | | 6 | UPDATE | BIG_TABLE | | 7 | PX BLOCK ITERATOR | | | 8 | TABLE ACCESS FULL| BIG_TABLE | ---------------------------------------------As a result of the pseudo-distributed implementation of PDML, certain limitations are associated with it: Triggers are not supported during a PDML operation This is a reasonable limitation in my opinion, since triggers tend to add a large amount of overhead to the update, and you are using PDML to go fast the two features don t go together.

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The addRole procedure adds a new entry to the Roles table. CREATE PROCEDURE [dbo].[addRole] ( @id int, @name varchar(50), @newLastChanged timestamp output ) AS INSERT INTO Roles (Id,Name) VALUES (@id,@name)

There are certain declarative RI constraints that are not supported during the PDML, since each slice of the table is modified as a separate transaction in the separate session Self-referential integrity is not supported, for example Consider the deadlocks and other locking issues that would occur if it were supported You cannot access the table you ve modified with PDML until you commit or roll back Advanced replication is not supported with PDML (because the implementation of advanced replication is trigger-based) Deferred constraints (ie, constraints that are in the deferred mode) are not supported PDML may only be performed on tables that have bitmap indexes or LOB columns if the table is partitioned, and then the degree of parallelism would be capped at the number of partitions.

You cannot parallelize an operation within partitions in this case, as each partition would get a single parallel execution server to operate on it Distributed transactions are not supported when performing PDML Clustered tables are not supported with PDML..

Security threats include but are not limited to information disclosure, information corruption, and denial of service (DoS) Security breaches due to those threats are often facilitated by ineffective implementation of authentication and authorization features..

If you violate any of those restrictions, one of two things will happen: either the statement will be performed serially (no parallelism will be involved) or an error will be raised. For example, if you already performed the PDML against table T and then attempted to query table T before ending your transaction, then you will receive the error ORA-12838: cannot read/modify an object after modifying it in parallel.

SELECT @newLastChanged = LastChanged FROM Roles WHERE Id=@id RETURN The Role object calls this stored procedure when it needs to insert its data into the database. As with the other add procedures, this one returns the new value of the LastChanged column for use by the business object.

I believe that parallel DDL is the real sweet spot of Oracle s parallel technology. As we ve discussed, parallel execution is generally not appropriate for OLTP systems. In fact, for many data warehouses,

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