The RMU Analyze Indexes command provides a maintenance tool for analyzing index structures and generates a formatted display of this statistical information. Information is displayed selectively for storage areas and logical areas, or for a range of pages in a storage area. You can use the RMU Analyze Indexes command to analyze the structures of both sorted (including ranked sorted) and hashed indexes. The following shows sample output from the RMU Analyze Index command: $ RMU/ANALYZE/INDEXES MF_PERSONNEL.RDB JH_EMPLOYEE_ID_RANKED ---------------------------------------------------------------------------- Indices for database - RDBVMS_DISK1:[DB]MF_PERSONNEL.RDB; ---------------------------------------------------------------------------- Index JH_EMPLOYEE_ID_RANKED for relation JOB_HISTORY duplicates allowed Max Level: 3, Nodes: 34, Used/Avail: 8693/13532 (64%), Keys: 133, Records: 0 Duplicate nodes:0, Used/Avail: 0/0 (0%), Keys: 100, Maps: 100, Records:4113 Total Comp/Uncomp IKEY Size: 600/798, Compression Ratio: .75 ---------------------------------------------------------------------------- Data included in the statistics display includes the following information: o The first line of output identifies the database in which the analyzed index resides. o The second line of output: - Specifies if the index is a hashed index. In the example, the index is not hashed, so the term hashed does not appear. - The index name - Whether or not duplicates are allowed. o Third line of output: - Max Level The maximum number of levels in the index. - Nodes The total number of nodes in the index. - Used/Avail (%) The number of bytes used by the index/the number of bytes available. (The percentage of space used by the index.) - Keys The sum of the dbkeys that point directly to data records plus those that point to duplicate nodes. - Records The number of data records to which the Keys (in the previous list item) point directly. o The fourth line of output: - Duplicate nodes For hashed and nonranked sorted indexes, this is the number of duplicate nodes in the index. For a ranked sorted index, this is the number of overflow nodes. With ranked sorted indexes, Oracle Rdb compresses duplicates using a byte- aligned bitmap compression. It compresses the list of dbkeys that point to duplicates and stores that list in the index key node. Oracle Rdb creates overflow nodes when the compressed list of duplicates does not fit in one index key node. This overflow node contains a bitmap compressed list of dbkeys and pointers to the next overflow node. Therefore, for ranked sorted indexes, the duplicate nodes count (overflow nodes) can be zero (0) if the compressed list of dbkeys that point to duplicates fits into one node. - Used/Avail (%) The number of bytes used by duplicate nodes/number of bytes available in the duplicate nodes. (The percentage of space used within the duplicate nodes of the index.) This value can be zero (0) for a ranked sorted index if the number of duplicate nodes is zero. - Keys The total number of dbkeys that point to a duplicate node or that point to the beginning of a duplicate node chain in the index. - Maps (appears only if the index is a ranked sorted index) The number of duplicate key data record bit maps used by ranked sorted indexes to represent the duplicate index key data record dbkeys. - Records The total number of data records pointed to by duplicate nodes. If the index is a ranked sorted index, Records refers to the number of data records pointed to by duplicate bit maps. o The fifth line of output (appears only if the index is compressed): - Total Comp/Uncomp IKEY Size The total byte count of the compressed leaf index keys (level 1 nodes only)/the total byte count that would be consumed if the index were not compressed - Compression ratio. The calculated ratio of Total Comp/Uncomp. A compression ratio greater than 1.0 indicates that the compressed index keys occupy more space than the uncompressed index keys. For more information on RMU Analyze Indexes and the display of index keys, refer to the Oracle Rdb7 Guide to Database Performance and Tuning.