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SQL Optimizer for Oracle 10.0 - User Guide

Welcome to SQL Optimizer
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ALL PARTITION ALTER INDEX AND EQUAL ANTI JOIN BITMAP AND BITMAP COMPACTION BITMAP CONSTRUCTION BITMAP CONVERSION BITMAP INDEX BITMAP JOIN INDEX UPDATE BITMAP JOIN INDEX UPDATE STATEMENT BITMAP KEY ITERATION BITMAP MERGE BITMAP MINUS BITMAP OR BUFFER SORT CARTESIAN JOIN COLLECTION ITERATOR CONCATENATION CONNECT BY CONNECT BY PUMP COUNT COUNT STOPKEY CREATE AS SELECT CUBE SCAN DDL STATEMENT DELETE DOMAIN INDEX FAST FULL INDEX SCAN FILTER FIRST ROWS FIXED INDEX FIXED TABLE FOR UPDATE FULL INDEX SCAN FULL INDEX SCAN DESCENDING FULL INDEX SCAN (MIN/MAX) HASH GROUP BY HASH GROUP BY PIVOT HASH JOIN HASH JOIN BUFFERED HASH PARTITION HASH UNIQUE INDEX INDEX BUILD NON UNIQUE INDEX RANGE SCAN INDEX RANGE SCAN DESCENDING INDEX RANGE SCAN (MIN/MAX) INDEX SAMPLE FAST FULL SCAN INDEX SKIP SCAN INDEX SKIP SCAN DESCENDING INDEX UNIQUE SCAN INLIST ITERATOR INLIST PARTITION INSERT INTERSECTION INTO INVALID PARTITION ITERATOR PARTITION LOAD AS SELECT MAT_VIEW ACCESS MAT_VIEW REWRITE ACCESS MERGE JOIN MINUS MULTI-TABLE INSERT NESTED LOOPS OUTER JOIN PARTITION PARTITION HASH EMPTY PARTITION LIST PARTITION RANGE PROJECTION PX BLOCK ITERATOR PX COORDINATOR PX ITERATOR PX PARTITION PX PARTITION HASH ALL PX PARTITION LIST ALL PX PARTITION RANGE ALL PX RECEIVE PX SEND RANGE PARTITION RECURSIVE EXECUTION RECURSIVE WITH PUMP REFERENCE MODEL REMOTE SELECT SEMI JOIN SEQUENCE SINGLE PARTITION SINGLE RANGE PARTITION SORT SORT AGGREGATE SORT GROUP BY SORT GROUP BY CUBE SORT GROUP BY NOSORT SORT GROUP BY ROLLUP SORT JOIN SORT ORDER BY SORT UNIQUE SQL MODEL TABLE ACCESS TABLE ACCESS BY GLOBAL INDEX ROWID TABLE ACCESS BY INDEX ROWID TABLE ACCESS BY LOCAL INDEX ROWID TABLE ACCESS BY ROWID TABLE ACCESS BY USER ROWID TABLE ACCESS CLUSTER TABLE ACCESS FULL TABLE ACCESS HASH TABLE ACCESS SAMPLE TABLE QUEUE TEMP TABLE GENERATION TEMP TABLE TRANSFORMATION UNION UNION ALL UNION ALL (RECURSIVE WITH) UNPIVOT UPDATE VIEW VIEW PUSHED PREDICATE WINDOW
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TABLE ACCESS

Execution Plan image: image\Plan_Table_Access.gif

Table Access operation.

TABLE ACCESS indicates a table access operation.

 

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TABLE ACCESS BY GLOBAL INDEX ROWID

Execution Plan image: image\White_Plan_By_Global_Index_Rowid.gif

Table Access operation.

Indexes can also be partitioned. While it is possible to create a partitioned index on an unpartitioned table, partitioned indexes will more often be created on a table that is itself partitioned.

When an index on a partitioned table is unpartitioned, or is partitioned on different column range conditions than the source table, the index is known as a Global Index.

Note: In general, Local (partitioned) Indexes help release the maximum benefits of partitioning. Avoid using Global Indexes on partitioned tables.

 

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TABLE ACCESS BY INDEX ROWID

Execution Plan image: image\White_Plan_By_Index_Rowid.gif   

Table Access operation.

TABLE ACCESS BY INDEX ROWID is used to access records using a ROWID obtained through an index lookup.

 

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TABLE ACCESS BY LOCAL INDEX ROWID

Execution Plan image: image\White_Plan_By_Local_Index_Rowid.gif   

Table Access operation.

Indexes can also be partitioned. To take advantage of partition maintenance facilities such as the ability to quickly drop a partition, you should normally create Local Indexes, which are partitioned in the same manner as their source table. When the leading columns of the index are also the columns upon which the index is partitioned then the index is known as a local prefixed index.

Local indexes have some significant advantages over global indexes. When a partitioned table with a global index has a partition split, merge, or move, the corresponding index partition will automatically have the same maintenance operation applied.

The parallel query option is invoked when the SQL statement includes a PARALLEL hint or when the PARALLEL clause has been associated with the table definition. In addition, the table to which the PARALLEL clause has been applied must be accessed by using a full table scan or must be a partitioned table accessed using a local index.

Note: In general, Local (partitioned) Indexes help release the maximum benefits of partitioning. Avoid Global Indexes on partitioned tables.

 

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