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The U D T G O A INDEXES clause can be used with the ADD, COALESCE, DROP, EXCHANGE, MERGE, P AE L B L M V , SPLIT, and T U C T partition operations When this clause is specified, Oracle will update all OE R NAE global indexes whenever DDL operations are performed against that table instead of invalidating them For example, if you need to drop a partition, each row that is dropped from the table also will be dropped from the global index Clearly, the U D T G O A INDEXES clause is most effective if you are making a small number of P AE L B L changes to a large table.

On the other hand, if you are making a significant number of changes to the table, it may still be more efficient to drop the global indexes before the operation and then re-create them afterward The range partitioning introduced in Oracle 80 was a great leap forward in terms of both administration and performance for very large tables Many applications, particularly those written by in-house development teams, center on a single table, which can often represent more than 80% of the total data in the database These tables are typically range partitioned by date and introduce a new performance issue For example, if the table is partitioned by month, most updates will typically affect one partition, potentially resulting in block contention While this block contention can be serious in a single-instance environment, it can cause severe problems in a RAC environment, where blocks must be exchanged between instances.

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Therefore, in Oracle 815 and above, two new forms of partitioning were introduced: hash partitioning and range-hash partitioning When a table is hash partitioned, the partition key is mapped to the appropriate partition using an Oracle internal hash algorithm This algorithm is slightly limited in behavior, so Oracle recommends that the number of partitions in the table is a power of two, that is, 2, 4, 8,16, 32, and so on Like other forms of hashing, hash clustering is only effective if you know the partition key for every access If you do not always know the partition key and no suitable indexes exist, then Oracle will resort to a full table scan of every partition Although there is a hash partition range scan operation, it is rarely invoked by the optimizer.

All the properties can be displayed and set with the rtcctl utility; the finer points of syntax are not always very well-documented, which can make the tool frustrating to use To launch the utility, change directory to the ORACLE_HOME/imeeting/bin directory and run rtcctl to enter a simple user interface Alternatively, run the utility followed by whatever command is required To set properties, use the setproperty command; to view them, use getproperties A property may have a scope of (in descending order) system, site, instance, or component The scope of a property defines where it is valid and where its value will be applied There is a hierarchy of scope levels: the system is at the top and contains one or more sites; a site contains instances; an instance has components.

From a performance point of view, hash partitions represent a good way of distributing rows between a number of partitions, thereby reducing or eliminating potential contention However, only a limited number of access paths are available for a hash partition, so they may not be suitable for all applications In Oracle 815 and above, you can also use range-hash composite partitioned tables The table is initially partitioned by range, and then subpartitioned by hash keys This partitioning presents the best of both worlds as the table is logically divided into range partitions, enabling more efficient administration, and then it is physically divided into a small number of hash partitions (usually eight or fewer), reducing contention In a composite partitioned table, a segment exists for each of the subpartitions Data is only stored at the subpartition level At the partition level, no segment exists, and no data is stored.

Note that all these functions have a version post fixed with a capital L, for label, which allows the user to provide a label that will be used in error message generation. You now have most of the elements you need to implement your little algebraic language. Again, you keep the same AST definition as before. module Strangelights.ExpressionParser.Ast type Expr = | Ident of string | Val of System.Double | Multi of Expr * Expr | Div of Expr * Expr | Plus of Expr * Expr | Minus of Expr * Expr The actual algebraic language definition looks like the following: open open open open Strangelights.ExpressionParser.Ast FParsec FParsec.Primitives FParsec.OperatorPrecedenceParser

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