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NEW QUESTION: 1
Which two functional areas use seasons and phases in RMS?
A. Diff groups
B. Timelines
C. Replenishment
D. Item lists
Answer: C,D

NEW QUESTION: 2

A. Option B
B. Option D
C. Option A
D. Option C
Answer: B

NEW QUESTION: 3
Identify two situations in which full table scans will be faster than index range scans.
A. A query executing in parallel on a partitioned table with partitioned indexes.
B. A query fetching less number of blocks than value specified by DB_FILE_MULTIBLOCK_READ_COUNT.
C. A query on a table with sparsely populated table blocks.
D. A query with a highly selective filter fetching less than 5 percent of the rows from a table.
E. A highly selective query on a table having high clustering factor for an index.
Answer: A,B
Explanation:
D:DB_FILE_MULTIBLOCK_READ_COUNT is one of the parameters you can use to
minimize I/O during table scans. It specifies the maximum number of blocks read in one I/O
operation during a sequential scan. The total number of I/Os needed to perform a full table
scan depends on such factors as the size of the table, the multiblock read count, and
whether parallel execution is being utilized for the operation.
Online transaction processing (OLTP) and batch environments typically have values in the
range of 4 to 16 for this parameter. DSS and data warehouse environments tend to benefit
most from maximizing the value of this parameter. The optimizer is more likely to choose a
full table scan over an index if the value of this parameter is high.
Note:
*See 6) and 7) below.
The oracle optimizer choose the best plan and execute the query according the plan. It is
common to hear that my table has indexes but why oracle does not use indexes rather it is
using full table scan. There are several reasons behind choosing optimizer full table
scans. 1)The table has no indexes within it.
2)Table has indexes but they are not appropriate to queries. For example in the table there
is normal B-tree indexes but in the query the column used in the WHERE clause contains
function.
3)Query access large amount of data. The table has indexes but query against it select almost all of the rows. In that case optimizer might choose to full access of table. 4)Index creation order may not appropriate. You have composite indexes on a table but in the where clause the leading column inside indexes are not used rather trailing columns are used. 5)The table is skewed. For example column gender contains value 'M' 10,000 times but value 'F' only 10 times.6)The table is small. If a table can read in a single I/O call, then a full table scan might be cheaper than an index range scan. Single I/O call is defined by DB_FILE_MULTIBLOCK_READ_COUNT parameter and value defined by blocks.Check it by,SQL> show parameter DB_FILE_MULTIBLOCK_READ_COUNTNAME TYPE VALUE-
db_file_multiblock_read_count integer 16
7)High degree of parallelism. High degree of parallelism skews the optimizer toward full
table scans.
8)In the query if there is no filtering then full table scan is the choice.
*If an index has poor cardinality (ie. more than 4% rows with the same index key) then it
will perform poorly. It will usually be faster to perform a full table scan. eg. Table SALES
has an index on the column PAYMENT_METHOD which can contain values such as COD,
CREDIT, CHEQUE, CASH. The statement
SELECT *
FROM sales
WHERE payment_method = 'CASH'
will probably perform so badly that you are better off without the index.
*Oracle uses the full table scan as it assumes that it will have to read a certain part of the
table.
Reference: OracleDatabase Reference,DB_FILE_MULTIBLOCK_READ_COUNT