To Estimate Space Required by Clusters
Step 1 : Calculate Total Block Header Size and Space Available for Table Data
The following formula returns the amount of available space in a block:
Note: Several calculations are required to obtain a final estimate, and several of the constants (indicated by *) provided are operating system-specific. Your estimates should not significantly differ from actual values. See your operating system-specific Oracle documentation for any substantial deviations from the constants provided in the following procedure.
space left in block after headers (hspace) = BLOCKSIZE - KCBH - UB4 - KTBBH - KTBIT*(INITTRANS - 1) - KDBH
where the sizes of KCBH, KTBBH, KTBIT, KDBH, and UB4 can be obtained by selecting * from v$type_size table.
Note: If this is a table segment (instead of the cluster segment shown above), the table directory would simply be 4.
Then use the following formula to calculate the space available for table data:
space available for table data
= hspace*(1 - PCTFREE/100) - 4*(NTABLES + 1) * ROWSINBLOCK
where:
BLOCKSIZE is the size of a data block |
INITTRANS is the initial number of transaction entries for the object |
PCTFREE is the percentage of space to reserve in a block for updates |
NTABLES is the number of tables in the cluster |
ROWS INBLOCK is the number of rows in a block |
Use Step 3 from the procedure in "Calculating Space Required by Non-Clustered Tables" to calculate this number. Make note of the following caveats:
CREATE TABLE t1 (a CHAR(10), b DATE, c NUMBER(10,2))
CLUSTER t1_t2 (c);
CREATE TABLE t2 (c NUMBER(10,2), d CHAR(10))
CLUSTER t1_t2 (c);
Notice that the cluster key is column C in each table.
Considering these example tables, the space required for an average row (D1) of table T1 and the space required for an average row (D2) of table T2 is:
D1 (space/average row) = (a + b)
= (10 + 7) bytes
= 17 bytes
D2 (space/average row) = (d)
= 10 bytes
Step 3 : Calculate Total Average Row Size
You can calculate the minimum amount of space required by a row in a clustered table according to the following equation:
Sn bytes/row = row header + Fn + Vn + Dn
where:
row header* 4 bytes per row of a clustered table. |
Fn Total length bytes of all columns in table n that store 250 bytes or less. The number of length bytes required by each column of this type is 1 byte. |
Vn Total length bytes of all columns in table n that store more than 250 bytes. The number of length bytes required by each column of this type is 3 bytes. |
Dn Combined data space of all columns in table n (from Step 3). |
For example, the total average row size of the clustered tables T1 and T2 are as follows:
S1 = (4 + (1 * 2) + (3 * 0) + 17) bytes
= 23 bytes
S2 = (4 + (1 * 1) + (3 * 0) + 10) bytes
= 15 bytes
Note: The absolute minimum row size of a clustered row is 10 bytes, and is operating system-specific. Therefore, if your calculated value for a table's total average row size is less than these absolute minimum row sizes, use the minimum value as the average row size in subsequent calculations.
Step 4 : Calculate Average Cluster Block Size
To calculate the average cluster block size, first estimate the average number of rows (for all tables) per cluster key. Once this is known, use the following formula to calculate average cluster block size:
avg. cluster block size (bytes)=
((R1*S1) + (R2*S2) + .. + (Rn*Sn)) + key header + Ck + Sk + 2Rt
where:
Rn The average number of rows in table n associated with a cluster key. |
Sn The average row size in table n (see Step 4). |
key header* 19 |
Ck Column length for the cluster key. |
Sk Space required to store average cluster key value. |
Rt Total number of rows associated with an average cluster key (R1 + R2 ... + Rn). This accounts for the space required in the data block header for each row in the block. |
SIZE = ((1 * 23) + (20 * 15) + 19 + 1 + 3 + (2 * 21)) bytes
= 388 bytes
To estimate the number of cluster keys that will fit in a database block, use the following formula, which uses the value you calculated in Step 2 for available data space, the number of rows associated with an average cluster key (Rt), and SIZE:
# cluster keys per block = FLOOR(available data space + 2R / SIZE + 2Rt)
For example, with SIZE previously calculated as 400 bytes (calculated as 388 earlier in this step and rounded up), Rt estimated at 21, and available space per data block (from Step 2) calculated as 1742 - 2R bytes, the result is as follows:
# cluster keys per block = FLOOR((1936 - 2R + 2R) / (400 + 2 * 21))
= FLOOR(1936 / 442)
= FLOOR(4.4)
= 4
Step 5 : Calculate Total Number of Blocks
To calculate the total number of blocks for the cluster, you must estimate the number of cluster keys in the cluster. Once this is estimated, use the following formula to calculate the total number of blocks required for the cluster:
# blocks = CEIL(# cluster keys / # cluster keys per block)
Note: If you have a test database, you can use statistics generated by the ANALYZE command to determine the number of key values in a cluster key. See "Analyzing Tables, Indexes, and Clusters" .
For example, assume that there are approximately 500 cluster keys in the T1_T2 cluster:
# blocks T1_T2 = CEIL(500/3)
= CEIL(166.7)
= 167
To convert the number of blocks to bytes, multiply the number of blocks by the data block size.
This procedure provides a reasonable estimation of a cluster's size, but not an exact number of blocks or bytes. Once you have estimated the space for a cluster, you can use this information when specifying the INITIAL storage parameter (size of the cluster's initial extent) in your corresponding CREATE CLUSTER statement.