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The Oracle documentation limits the scope of parallel DML (PDML) to include only INSERT, UPDATE, DELETE, and MERGE (it does not include SELECT as normal DML does). During PDML, Oracle may use many parallel execution servers to perform your INSERT, UPDATE, DELETE, or MERGE instead of a single serial process. On a multi-CPU machine with plenty of I/O bandwidth, the potential increase in speed may be large for mass DML operations. However, you should not look to PDML as a feature to speed up your OLTP-based applications. As stated previously, parallel operations are designed to fully and totally maximize the utilization of a machine. They are designed so that a single user can completely use all of the disks, CPU, and memory on the machine. In a certain data warehouse (with lots of data and few users), this is something you may
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CHAPTER 14 PARALLEL EXECUTION
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want to achieve. In an OLTP system (with a lot of users all doing short, fast transactions), you do not want to give a user the ability to fully take over the machine resources. This sounds contradictory: we use parallel query to scale up, so how could it not be scalable When applied to an OLTP system, the statement is quite accurate. Parallel query is not something that scales up as the number of concurrent users increases. Parallel query was designed to allow a single session to generate as much work as 100 concurrent sessions would. In our OLTP system, we really do not want a single user to generate the work of 100 users. PDML is useful in a large data warehousing environment to facilitate bulk updates to massive amounts of data. The PDML operation is executed in much the same way as a distributed query would be executed by Oracle, with each parallel execution server acting like a process in a separate database instance. Each slice of the table is modified by a separate thread with its own independent transaction (and hence its own undo segment, hopefully). After they are all done, the equivalent of a fast 2PC is performed to commit the separate, independent transactions. Figure 14-2 depicts a parallel update using four parallel execution servers. Each of the parallel execution servers has its own independent transaction, in which either all are committed with the PDML coordinating session or none commits.
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Figure 14-2. Parallel update (PDML) depiction We can actually observe the fact that there are separate independent transactions created for the parallel execution servers. We ll use two sessions again. In the session with SID=701, we explicitly enable parallel DML. PDML differs from parallel query in that regard; unless you explicitly ask for it, you will not get it: big_table@ORA11GR2> alter session enable parallel dml; Session altered.
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CHAPTER 14 PARALLEL EXECUTION
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The fact that the table is parallel is not sufficient, as it was for parallel query. The reasoning behind the need to explicitly enable PDML in your session is the fact that PDML has certain limitations associated with it, which I list after this example. In the same session, we do a bulk UPDATE that, because the table is parallel enabled, will in fact be done in parallel: big_table@ORA11GR2> update big_table set status = 'done'; In the other session, we ll join V$SESSION to V$TRANSACTION to show the active sessions for our PDML operation, as well as their independent transaction information: ops$tkyte%ORA11GR2> select a.sid, a.program, b.start_time, b.used_ublk, 2 b.xidusn ||'.'|| b.xidslot || '.' || b.xidsqn trans_id 3 from v$session a, v$transaction b 4 where a.taddr = b.addr 5 and a.sid in ( select sid 6 from v$px_session 7 where qcsid = 701) 8 order by sid 9 / SID --8 10 11 14 242 243 244 245 470 471 473 474 701 702 705 706 709 PROGRAM -----------------------------oracle@dellpe (P006) oracle@dellpe (P010) oracle@dellpe (P014) oracle@dellpe (P002) oracle@dellpe (P007) oracle@dellpe (P003) oracle@dellpe (P015) oracle@dellpe (P011) oracle@dellpe (P000) oracle@dellpe (P008) oracle@dellpe (P004) oracle@dellpe (P012) sqlplus@dellpe (TNS V1-V3) oracle@dellpe (P009) oracle@dellpe (P013) oracle@dellpe (P001) oracle@dellpe (P005) START_TIME USED_UBLK TRANS_ID -------------------- ---------- --------------04/14/10 12:25:43 1 18.20.213 04/14/10 12:25:43 987 10.22.1060 04/14/10 12:25:43 880 9.16.11393 04/14/10 12:25:43 1 19.12.217 04/14/10 12:25:43 1 2.13.11041 04/14/10 12:25:43 1 12.0.558 04/14/10 12:25:43 952 15.15.428 04/14/10 12:25:43 884 7.33.10945 04/14/10 12:25:43 1 1.9.10529 04/14/10 12:25:43 885 16.15.191 04/14/10 12:25:43 1 5.3.11184 04/14/10 12:25:43 904 6.4.10769 04/14/10 12:25:43 1 3.0.11035 04/14/10 12:25:43 959 4.21.10615 04/14/10 12:25:43 909 11.17.1229 04/14/10 12:25:43 1 17.30.217 04/14/10 12:25:43 1 14.22.512
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17 rows selected. As you can see, there is more happening here than when we simply queried the table in parallel. We have 17 processes working on this operation, not just 9 as before. This is because the plan that was developed includes a step to update the table and independent steps to update the index entries. Looking at an edited explain plan output from DBMS_XPLAN (trailing columns were removed to permit the output to fit on the page), we see the following:
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