Java Freeman: 六月 2011

Setting Up login File

SQL*Plus allows us to setup a login.sql file, a script that is executed each and every time we

start SQL*Plus. Further, it allows us to set an environment variable, SQLPATH, so that it can find this

define _editor=vi

set serveroutput on size 1000000

set trimspool on

set long 5000

set linesize 100

set pagesize 9999

column plan_plus_exp format a80

column global_name new_value gname

set termout off

define gname=idle

column global_name new_value gname

select lower(user) || '@' || substr( global_name, 1, decode( dot, 0, length(global_name),

dot-1) ) global_name

from (select global_name, instr(global_name,'.') dot from global_name );

set sqlprompt '&gname> '

set termout on

Setting up Autotrace in SQL*Plus

Initial Setup

This is what I like to do to get AUTOTRACE working:

• cd [ORACLE_HOME]/rdbms/admin

• log into SQL*Plus as SYSTEM

• run @utlxplan

• run CREATE PUBLIC SYNONYM PLAN_TABLE FOR PLAN_TABLE;

• run GRANT ALL ON PLAN_TABLE TO PUBLIC;

You can replace the GRANT TO PUBLIC with some user if you want. By making it public, you let anyone trace using SQL*Plus (not a bad thing, in my opinion). This prevents every user from having to install their own plan table. The alternative is for you to run @utlxplan in every schema from which you want to use AUTOTRACE.

The next step is creating and granting the PLUSTRACE role:

• cd [ORACLE_HOME]/sqlplus/admin

• log into SQL*Plus as SYS or AS SYSDBA

• run @plustrce

• run GRANT PLUSTRACE TO PUBLIC;

Again, you can replace PUBLIC in the GRANT command with some user if you want.

Controlling the Report

• SET AUTOTRACE OFF - No AUTOTRACE report is generated. This is the default.

• SET AUTOTRACE ON EXPLAIN - The AUTOTRACE report shows only the optimizer execution path.

• SET AUTOTRACE ON STATISTICS - The AUTOTRACE report shows only the SQL statement execution statistics.

• SET AUTOTRACE ON - The AUTOTRACE report includes both the optimizer execution path and the

SQL statement execution statistics.

• SET AUTOTRACE TRACEONLY - Like SET AUTOTRACE ON, but suppresses the printing of the user's query output, if any.

Database Statistic Name	Description
recursive calls	Number of recursive calls generated at both the user and system level. Oracle maintains tables used for internal processing. When Oracle needs to make a change to these tables, it internally generates an internal SQL statement, which in turn generates a recursive call.
db block gets	Number of times a CURRENT block was requested.
consistent gets	Number of times a consistent read was requested for a block.
physical reads	Total number of data blocks read from disk. This number equals the value of "physical reads direct" plus all reads into buffer cache.
redo size	Total amount of redo generated in bytes.
bytes sent via SQL*Net to client	Total number of bytes sent to the client from the foreground processes.
bytes received via SQL*Net from client	Total number of bytes received from the client over Oracle Net.
SQL*Net roundtrips to/from client	Total number of Oracle Net messages sent to and received from the client.
sorts (memory)	Number of sort operations that were performed completely in memory and did not require any disk writes.
sorts (disk)	Number of sort operations that required at least one disk write.
rows processed	Number of rows processed during the operation.

针对以上3个概念进行的说明解释及关系如下：
1、DB Block Gets（当前请求的块数目）
当前模式块意思就是在操作中正好提取的块数目，而不是在一致性读的情况下而产生的块数。正常的情况下，一个查询提取的块是在查询开始的那个时间点上存在的数据块，当前块是在这个时刻存在的数据块，而不是在这个时间点之前或者之后的数据块数目。

2、Consistent Gets（数据请求总数在回滚段Buffer中的数据一致性读所需要的数据块）
这里的概念是在处理你这个操作的时候需要在一致性读状态上处理多少个块，这些块产生的主要原因是因为由于在你查询的过程中，由于其他会话对数据块进行操作，而对所要查询的块有了修改，但是由于我们的查询是在这些修改之前调用的，所以需要对回滚段中的数据块的前映像进行查询，以保证数据的一致性。这样就产生了一致性读。

3、Physical Reads（物理读）
就是从磁盘上读取数据块的数量，其产生的主要原因是：
1、在数据库高速缓存中不存在这些块
2、全表扫描
3、磁盘排序

它们三者之间的关系大致可概括为：
逻辑读指的是Oracle从内存读到的数据块数量。一般来说是'consistent gets' + 'db block gets'。当在内存中找不到所需的数据块的话就需要从磁盘中获取，于是就产生了'phsical reads'。

Explain plan

An explain plan is a representation of the access path that is taken when a query is executed within Oracle.

Query processing can be divided into 7 phases:
[1] Syntactic - checks the syntax of the query
[2] Semantic - checks that all objects exist and are accessible
[3] View Merging - rewrites query as join on base tables as opposed to using views
[4] Statement Transformation - rewrites query transforming some complex constructs into simpler ones
where appropriate (e.g. subquery unnesting, in/or transformation)
[5] Optimization - determines the optimal access path for the query to take. With the Rule Based
Optimizer (RBO) it uses a set of heuristics to determine access path. With the Cost Based
Optimizer (CBO) we use statistics to analyze the relative costs of accessing objects.
[6] QEP Generation
[7] QEP Execution
(QEP = Query Evaluation Plan)

Steps [1]-[6] are handled by the parser.
Step [7] is the execution of the statement.

Explain Plan一般按缩进长度来判断，缩进最大的最先执行，如果有2行缩进一样，那么就先执行上面的。

OPERATION and OPTIONS Values Produced by EXPLAIN PLAN

Operation	Option	Description
AND-EQUAL	.	Operation accepting multiple sets of rowids, returning the intersection of the sets, eliminating duplicates. Used for the single-column indexes access path.
BITMAP	CONVERSION	TO ROWIDS converts bitmap representations to actual rowids that can be used to access the table. FROM ROWIDS converts the rowids to a bitmap representation. COUNT returns the number of rowids if the actual values are not needed.
BITMAP	INDEX	SINGLE VALUE looks up the bitmap for a single key value in the index. RANGE SCAN retrieves bitmaps for a key value range. FULL SCAN performs a full scan of a bitmap index if there is no start or stop key.
BITMAP	MERGE	Merges several bitmaps resulting from a range scan into one bitmap.
BITMAP	MINUS	Subtracts bits of one bitmap from another. Row source is used for negated predicates. Can be used only if there are nonnegated predicates yielding a bitmap from which the subtraction can take place. An example appears in "Viewing Bitmap Indexes with EXPLAIN PLAN".
BITMAP	OR	Computes the bitwise OR of two bitmaps.
BITMAP	AND	Computes the bitwise AND of two bitmaps.
BITMAP	KEY ITERATION	Takes each row from a table row source and finds the corresponding bitmap from a bitmap index. This set of bitmaps are then merged into one bitmap in a following BITMAP MERGE operation.
CONNECT BY	.	Retrieves rows in hierarchical order for a query containing a CONNECT BY clause.
CONCATENATION	.	Operation accepting multiple sets of rows returning the union-all of the sets.
COUNT	.	Operation counting the number of rows selected from a table.
COUNT	STOPKEY	Count operation where the number of rows returned is limited by the ROWNUM expression in the WHERE clause.
DOMAIN INDEX	.	Retrieval of one or more rowids from a domain index. The options column contain information supplied by a user-defined domain index cost function, if any.
FILTER	.	Operation accepting a set of rows, eliminates some of them, and returns the rest.
FIRST ROW	.	Retrieval of only the first row selected by a query.
FOR UPDATE	.	Operation retrieving and locking the rows selected by a query containing a FOR UPDATE clause.
HASH	GROUP BY	Operation hashing a set of rows into groups for a query with a GROUP BY clause.
HASH JOIN (These are join operations.)	.	Operation joining two sets of rows and returning the result. This join method is useful for joining large data sets of data (DSS, Batch). The join condition is an efficient way of accessing the second table. Query optimizer uses the smaller of the two tables/data sources to build a hash table on the join key in memory. Then it scans the larger table, probing the hash table to find the joined rows.
HASH JOIN	ANTI	Hash (left) antijoin
HASH JOIN	SEMI	Hash (left) semijoin
HASH JOIN	RIGHT ANTI	Hash right antijoin
HASH JOIN	RIGHT SEMI	Hash right semijoin
HASH JOIN	OUTER	Hash (left) outer join
HASH JOIN	RIGHT OUTER	Hash right outer join
INDEX (These are access methods.)	UNIQUE SCAN	Retrieval of a single rowid from an index.
INDEX	RANGE SCAN	Retrieval of one or more rowids from an index. Indexed values are scanned in ascending order.
INDEX	RANGE SCAN DESCENDING	Retrieval of one or more rowids from an index. Indexed values are scanned in descending order.
INDEX	FULL SCAN	Retrieval of all rowids from an index when there is no start or stop key. Indexed values are scanned in ascending order.
INDEX	FULL SCAN DESCENDING	Retrieval of all rowids from an index when there is no start or stop key. Indexed values are scanned in descending order.
INDEX	FAST FULL SCAN	Retrieval of all rowids (and column values) using multiblock reads. No sorting order can be defined. Compares to a full table scan on only the indexed columns. Only available with the cost based optimizer.
INDEX	SKIP SCAN	Retrieval of rowids from a concatenated index without using the leading column(s) in the index. Introduced in Oracle9i. Only available with the cost based optimizer.
INLIST ITERATOR	.	Iterates over the next operation in the plan for each value in the IN-list predicate.
INTERSECTION	.	Operation accepting two sets of rows and returning the intersection of the sets, eliminating duplicates.
MERGE JOIN (These are join operations.)	.	Operation accepting two sets of rows, each sorted by a specific value, combining each row from one set with the matching rows from the other, and returning the result.
MERGE JOIN	OUTER	Merge join operation to perform an outer join statement.
MERGE JOIN	ANTI	Merge antijoin.
MERGE JOIN	SEMI	Merge semijoin.
MERGE JOIN	CARTESIAN	Can result from 1 or more of the tables not having any join conditions to any other tables in the statement. Can occur even with a join and it may not be flagged as CARTESIAN in the plan.
CONNECT BY	.	Retrieval of rows in hierarchical order for a query containing a CONNECT BY clause.
MAT_VIEW REWITE ACCESS (These are access methods.)	FULL	Retrieval of all rows from a materialized view.
MAT_VIEW REWITE ACCESS	SAMPLE	Retrieval of sampled rows from a materialized view.
MAT_VIEW REWITE ACCESS	CLUSTER	Retrieval of rows from a materialized view based on a value of an indexed cluster key.
MAT_VIEW REWITE ACCESS	HASH	Retrieval of rows from materialized view based on hash cluster key value.
MAT_VIEW REWITE ACCESS	BY ROWID RANGE	Retrieval of rows from a materialized view based on a rowid range.
MAT_VIEW REWITE ACCESS	SAMPLE BY ROWID RANGE	Retrieval of sampled rows from a materialized view based on a rowid range.
MAT_VIEW REWITE ACCESS	BY USER ROWID	If the materialized view rows are located using user-supplied rowids.
MAT_VIEW REWITE ACCESS	BY INDEX ROWID	If the materialized view is nonpartitioned and rows are located using index(es).
MAT_VIEW REWITE ACCESS	BY GLOBAL INDEX ROWID	If the materialized view is partitioned and rows are located using only global indexes.
MAT_VIEW REWITE ACCESS	BY LOCAL INDEX ROWID	If the materialized view is partitioned and rows are located using one or more local indexes and possibly some global indexes. Partition Boundaries: The partition boundaries might have been computed by: A previous PARTITION step, in which case the PARTITION_START and PARTITION_STOP column values replicate the values present in the PARTITION step, and the PARTITION_ID contains the ID of the PARTITION step. Possible values forPARTITION_START and PARTITION_STOP are NUMBER(n), KEY, INVALID. The MAT_VIEW REWRITE ACCESS or INDEX step itself, in which case the PARTITION_ID contains the ID of the step. Possible values for PARTITION_START and PARTITION_STOP are NUMBER(n), KEY, ROW REMOVE_LOCATION (MAT_VIEW REWRITEACCESS only), and INVALID.
MINUS	.	Operation accepting two sets of rows and returning rows appearing in the first set but not in the second, eliminating duplicates.
NESTED LOOPS (These are join operations.)	.	Operation accepting two sets of rows, an outer set and an inner set. Oracle compares each row of the outer set with each row of the inner set, returning rows that satisfy a condition. This join method is useful for joining small subsets of data (OLTP). The join condition is an efficient way of accessing the second table.
NESTED LOOPS	OUTER	Nested loops operation to perform an outer join statement.
PARTITION	.	Iterates over the next operation in the plan for each partition in the range given by the PARTITION_START and PARTITION_STOP columns. PARTITION describes partition boundaries applicable to a single partitioned object (table or index) or to a set of equi-partitioned objects (a partitioned table and its local indexes). The partition boundaries are provided by the values of PARTITION_START and PARTITION_STOP of the PARTITION. Refer to Table 19-1 for valid values of partition start/stop.
PARTITION	SINGLE	Access one partition.
PARTITION	ITERATOR	Access many partitions (a subset).
PARTITION	ALL	Access all partitions.
PARTITION	INLIST	Similar to iterator, but based on an IN-list predicate.
PARTITION	INVALID	Indicates that the partition set to be accessed is empty.
PX ITERATOR	BLOCK,CHUNK	Implements the division of an object into block or chunk ranges among a set of parallel slaves
PXCOORDINATOR	.	Implements the Query Coordinator which controls, schedules, and executes the parallel plan below it using parallel query slaves. It also represents a serialization point, as the end of the part of the plan executed in parallel and always has aPX SEND QC operation below it.
PX PARTITION	.	Same semantics as the regular PARTITION operation except that it appears in a parallel plan
PX RECEIVE	.	Shows the consumer/receiver slave node reading repartitioned data from a send/producer (QC or slave) executing on a PX SEND node. This information was formerly displayed into the DISTRIBUTION column. See Table 19-2.
PX SEND	QC(RANDOM), HASH, RANGE	Implements the distribution method taking place between two parallel set of slaves. Shows the boundary between two slave sets and how data is repartitioned on the send/producer side (QC or side. This information was formerly displayed into the DISTRIBUTION column. See Table 19-2.
REMOTE	.	Retrieval of data from a remote database.
SEQUENCE	.	Operation involving accessing values of a sequence.
SORT	AGGREGATE	Retrieval of a single row that is the result of applying a group function to a group of selected rows.
SORT	UNIQUE	Operation sorting a set of rows to eliminate duplicates.
SORT	GROUP BY	Operation sorting a set of rows into groups for a query with a GROUP BY clause.
SORT	JOIN	Operation sorting a set of rows before a merge-join.
SORT	ORDER BY	Operation sorting a set of rows for a query with an ORDER BY clause.
TABLE ACCESS (These are access methods.)	FULL	Retrieval of all rows from a table.
TABLE ACCESS	SAMPLE	Retrieval of sampled rows from a table.
TABLE ACCESS	CLUSTER	Retrieval of rows from a table based on a value of an indexed cluster key.
TABLE ACCESS	HASH	Retrieval of rows from table based on hash cluster key value.
TABLE ACCESS	BY ROWID RANGE	Retrieval of rows from a table based on a rowid range.
TABLE ACCESS	SAMPLE BY ROWID RANGE	Retrieval of sampled rows from a table based on a rowid range.
TABLE ACCESS	BY USER ROWID	If the table rows are located using user-supplied rowids.
TABLE ACCESS	BY INDEX ROWID	If the table is nonpartitioned and rows are located using index(es).
TABLE ACCESS	BY GLOBAL INDEX ROWID	If the table is partitioned and rows are located using only global indexes.
TABLE ACCESS	BY LOCAL INDEX ROWID	If the table is partitioned and rows are located using one or more local indexes and possibly some global indexes. Partition Boundaries: The partition boundaries might have been computed by: A previous PARTITION step, in which case the PARTITION_START and PARTITION_STOP column values replicate the values present in the PARTITION step, and the PARTITION_ID contains the ID of the PARTITION step. Possible values forPARTITION_START and PARTITION_STOP are NUMBER(n), KEY, INVALID. The TABLE ACCESS or INDEX step itself, in which case the PARTITION_ID contains the ID of the step. Possible values for PARTITION_START and PARTITION_STOP are NUMBER(n), KEY, ROW REMOVE_LOCATION (TABLE ACCESS only), and INVALID.
UNION	.	Operation accepting two sets of rows and returns the union of the sets, eliminating duplicates.
VIEW	.	Operation performing a view's query and then returning the resulting rows to another operation.

Java Freeman

2011年6月30日星期四

使用instantclient_11_2 和PL/SQL Developer工具包连接oracle 11g远程数据库

2011年6月11日星期六

Expert Oracle Database Architecture读书笔记之Setting Up Environment