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原创 Linux操作系统 作者:yyp2009 时间:2011-05-24 19:31:06 0 删除 编辑

Usage: tkprof tracefile outputfile [explain= ] [table= ]
             [print= ] [insert= ] [sys= ] [sort= ]

Determines the execution plan for each SQL statement in the trace file and writes these execution plans to the output file. TKPROF determines execution plans by issuing the EXPLAIN PLAN statement after connecting to Oracle with the user and password specified in this parameter. The specified user must have CREATE SESSION system privileges. TKPROF takes longer to process a large trace file if the EXPLAIN option is used.

对trace文件中的sql进行分析,从而得到该 sql语句的执行计划,
即在运行tkprof程序时才将trace file文件中的sql语句用explian参数 重新连到DB中
然后运用EXPLAIN PLAN命令生成sql的执行计划。


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 Tkprof Interpretation

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PURPOSE This document gives general advice on the use of TKPROF.


For users needing advice on how to use TkProf.

Tkprof is an executable that 'parses' Oracle trace files to produce more readable output. Remember that all the information in TkProf is available from the base trace file.

If you have a system that is performing badly, a good way to identify problem SQL statements is to trace a typical user session and then use TkProf to format the output using the sort functions on the tkprof command line.

There are a huge number of sort options that can be accessed by simply typing 'TkProf' at the command prompt. A useful starting point is the 'fchela' sort option which orders the output by elapsed time fetching (remember that timing information is only available with timed_statistics set to true in the "init.ora" file). The resultant .prf file will contain the most time consuming SQL statement at the start of the file.

Another useful parameter is sys. This can be used to prevent SQL statements run as user SYS from being displayed. This can make the output file much shorter an easier to manage.

Remember to always set the TIMED_STATISTICS parameter to TRUE when tracing sessions as otherwise no time based comparisons can be made.


Interpreting TkProf Output Guidelines


Column Meanings


call : Statisics for each cursor's activity are divided in to 3 areas:

Parse: statisitics from parsing the cursor. This includes information for plan generation etc.

Execute: statisitics for the exection phase of a cursor

Fetch : statistics for actually fetching the rows

count : number of times we have performed a particular activity on this particular cursor

cpu: cpu time used by this cursor

elapsed: elapsed time for this cursor

disk: This indicates the number of blocks read from disk. generally you want to see blocks being read from the buffer cache rather than disk.

query : This column is incremented if a buffer is read in Consistent mode.

A Consistent mode buffer is one that has been generated to give a consistent read snapshot for a long running transaction. The buffer actually contains this status in its header.

current: This column is incremented if a buffer found in the buffer cache that is new enough for the current transaction and is in current mode (and it is not a CR buffer). This applies to buffers that have been read in to the cache as well as buffers that already exist in the cache in current mode.

rows: Rows retrieved by this step


Explain plan


Firstly, we advise that the autotrace feature of SQL*Plus be used on statements rather than using TkProf mainly because the TkProf output can be confusing with regard to whether the Rule or Cost Based optimizer has been used.

Because TkProf explain plan does not show any costs or statistics, it is sometimes not possible to tell definitively which optimizer has been used.

That said, the following output from Tkprof explain plan is useful.

The Rows column next to the explain plan output shows the number of rows processed by that particular step. The information is gathered from the STAT lines for each cursor in the raw trace output.

Remember that if the cursor is not closed then you will not see any output.

Setting SQL_TRACE to false DOES NOT close PL/SQL child cursors.

Cursors are closed in SQL*Plus immediately after execution.


TkProf Examples and Discussion



Step 1 - Look at the totals at the end of the tkprof output



| call | count | cpu | elapsed | disk | query | current | rows |


| Parse | [A] 7 | 1.87 | 4.53 | 385 |[G] 553 | 22 | 0 |

| Execute | [E] 7 | 0.03 | 0.11 | [P] 0 |[C] 0 | [D] 0 | [F] 0 |

| Fetch | [E] 6 | 1.39 | 4.21 | [P] 128 |[C] 820 | [D] 3 | [F] 20 |


Misses in library cache during parse: 5

Misses in library cache during execute: 1

8 user SQL statements in session.

12 internal SQL statements in session.

[B] 54 SQL statements in session.

3 statements EXPLAINed in this session.

1. Compare [A] & [B] to spot over parsing. In this case we

have 7 parses for 54 statements which is ok.

2. You can use [P], [C] & [D] to determine the hit ratio.

Hit Ratio is logical reads/physical reads:

Logical Reads = Consistent Gets + DB Block Gets

Logical Reads = query + current

Logical Reads = Sum[C] + Sum[D]

Logical Reads = 0+820 + 0+3

Logical Reads = 820 + 3

Logical Reads = 823

Hit Ratio = 1 - (Physical Reads / Logical Reads)

Hit Ratio = 1 - (Sum[P] / Logical Reads)

Hit Ratio = 1 - (128 / 823)

Hit Ratio = 1 - (0.16)

Hit Ratio = 0.84 or 84%

3. We want fetches to be less than the number of rows as this

will mean we have done less work (array fetching).

To see this we can compare [E] and [F].

[E] = 6 = Number of Fetches

[F] = 20 = Number of Rows

So we are doing 6 fetches to retrieve 20 rows - not too bad.

If arrayfetching was configured then rows could be retrieved with less fetches.

Remember that an extra fetch will be done at the end to check that the end of fetch has been reached.

4. [G] Shows reads on the Dictionary cache for the statements.

- this should not be a problem on Oracle7.

In this case we have done 553 reads from the Library cache.

STEP 2 - Examine statements using high resource


update ...

where ...

| call | count | cpu | elapsed | disk | query | current | rows |


| Parse | 1 | 7 | 122 | 0 | 0 | 0 | 0 |

| Execute | 1 | 75 | 461 | 5 | [H] 297 | [I] 3 | [J] 1 |

| Fetch | 0 | 0 | 0 | 0 | 0 | 0 | 0 |


[H] shows that this query is visiting 297 blocks to find the rows to update

[I] shows that only 3 blocks are visited performing the update

[J] shows that only 1 row is updated.

297 block to update 1 rows is a lot.

Possibly there is an index missing?


STEP 3 - Look for over parsing


select ...

| call | count | cpu | elapsed | disk | query | current | rows |


| Parse | [M] 2 | [N] 221 | 329 | 0 | 45 | 0 | 0 |

| Execute | [O] 3 | [P] 9 | 17 | 0 | 0 | 0 | 0 |

| Fetch | 3 | 6 | 8 | 0 | [L] 4 | 0 | [K] 1 |


Misses in library cache during parse: 2 [Q]

[K] is shows that the query has returned 1 row.

[L] shows that we had to read 4 blocks to get this row back.This is fine.

[M] show that we are parsing the statement twice - this is not desirable

especially as the cpu usage is high [N] in comparison to the execute figures : [O] & [P]. [Q] shows that these parses are hard parses. If [Q] was 1 then the statemnent would have had 1 hard parse followed by a soft parse (which just looks up the already parsed detail in the library cache). See [NOTE:32895.1] for more details.


This is not a particularly bad example since the query has only been executed a few times. However excessive parsing should be avoided as far as possible by:

o Ensuring that code is shared:

- use bind variables

- make shared pool large enough to hold query definitions in memory long enough to be reused.







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