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In addition, you can use composite partitioning (combine two partitioning methods to divide the data into smaller subpartitions) strategies, which takes the actual number of partitioning methods to over a dozen types No matter which partitioning method you use, you must specify the following information when creating a partitioned table: Partitioning method: This is one of the six types of partitioning Partitioning column (or columns): This is the column or columns on the basis of which you want to partition the table (for example, transaction_date) The range or set of values of the partitioning columns are called the partitioning keys The partition descriptions: These descriptions specify the criteria for the inclusion of the actual partitioning keys in each partition You use a partition bound for range partitioning and use the clause VALUES LESS THAN to limit the partitioning key values in each partition.





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In list partitioning, you specify a list of literal values that tell Oracle what partitioning key values qualify for inclusion in a partition The following sections discuss the different types of partitioning and show how to partition a table..

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Range partitioning is a popular way to partition Oracle tables, and it was the first type of partitioning introduced by Oracle. Range partitioning is used for data that can be separated into ranges based on some criterion. You get the best results from range partitioning if the data falls evenly into the different ranges that you create. Your ranges can be based on a sequence number or a part number, but the range-partitioning technique is usually based on time (monthly or quarterly data, for example).

Let s say you need to create a table to hold three years of quarterly sales data for a major airline. This could easily add up to several hundreds of millions of transactions. If you partition the sales table by a range of quarters and decide to hold no more than three years worth of data at any given time, you could have 12 partitions in the table, partitioned by quarters. Each time you enter a new quarter, you can archive the oldest quarter s data, thus keeping the number of partitions constant. By partitioning the huge table, which might have a total of 480 million rows, for example, any queries you run would only have to deal with one-twelfth of the table that is, about 40 million rows which makes a big difference. Partitioning thus provides you with a divide-and-conquer technique for dealing efficiently with massive amounts of table data. Listing 7-5 shows the DDL for creating a range-partitioned table, with each year s worth of data divided into four partitions. With each new quarter, you can add another partition. Thus, you ll end up with 12 partitions over a three-year period. Listing 7-5. Creating a Range-Partitioned Table SQL> 2 3 4 5 6 7 8 9 10 11 12 13 14* CREATE TABLE sales_data (ticket_no NUMBER, sale_year INT NOT NULL, sale_month INT NOT NULL, sale_day INT NOT NULL) PARTITION BY RANGE (sale_year, sale_month, sale_day) (PARTITION sales_q1 VALUES LESS THAN (2008, 04, 01) TABLESPACE ts1, PARTITION sales_q2 VALUES LESS THAN (2008, 07, 01) TABLESPACE ts2, PARTITION sales_q3 VALUES LESS THAN (2008, 10, 01) TABLESPACE ts3, PARTITION sales_q4 VALUES LESS THAN (2009, 01, 01) TABLESPACE ts4);

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